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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0"><?xmltex \makeatother\@nolinetrue\makeatletter?>
  <front>
    <journal-meta><journal-id journal-id-type="publisher">OS</journal-id><journal-title-group>
    <journal-title>Ocean Science</journal-title>
    <abbrev-journal-title abbrev-type="publisher">OS</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Ocean Sci.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1812-0792</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/os-16-1317-2020</article-id><title-group><article-title>Beaching patterns of plastic debris along the Indian Ocean rim</article-title><alt-title>Beaching patterns of plastic debris along the Indian Ocean rim</alt-title>
      </title-group><?xmltex \runningtitle{Beaching patterns of plastic debris along the Indian Ocean rim}?><?xmltex \runningauthor{M. van der Mheen et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>van der Mheen</surname><given-names>Mirjam</given-names></name>
          <email>mirjam.vandermheen@research.uwa.edu.au</email>
        <ext-link>https://orcid.org/0000-0001-6512-6200</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>van Sebille</surname><given-names>Erik</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-2041-0704</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Pattiaratchi</surname><given-names>Charitha</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-2229-6183</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Oceans Graduate School and the UWA Oceans Institute, the University of Western Australia, Perth, Australia</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, the Netherlands</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Mirjam van der Mheen (mirjam.vandermheen@research.uwa.edu.au)</corresp></author-notes><pub-date><day>30</day><month>October</month><year>2020</year></pub-date>
      
      <volume>16</volume>
      <issue>5</issue>
      <fpage>1317</fpage><lpage>1336</lpage>
      <history>
        <date date-type="received"><day>19</day><month>May</month><year>2020</year></date>
           <date date-type="rev-request"><day>15</day><month>June</month><year>2020</year></date>
           <date date-type="rev-recd"><day>9</day><month>September</month><year>2020</year></date>
           <date date-type="accepted"><day>10</day><month>September</month><year>2020</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2020 </copyright-statement>
        <copyright-year>2020</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://os.copernicus.org/articles/.html">This article is available from https://os.copernicus.org/articles/.html</self-uri><self-uri xlink:href="https://os.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://os.copernicus.org/articles/.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e104">A large percentage of global ocean plastic waste enters the Northern Hemisphere Indian Ocean (NIO). Despite this, it is unclear what happens to buoyant plastics in the NIO. Because the subtropics in the NIO are blocked by landmass, there is no subtropical gyre and no associated subtropical garbage patch in this region. We therefore hypothesize that plastics “beach” and end up on coastlines along the Indian Ocean rim. In this paper, we determine the influence of beaching plastics by applying different beaching conditions to Lagrangian particle-tracking simulation results. Our results show that a large amount of plastic likely ends up on coastlines in the NIO, while some crosses the Equator into the Southern Hemisphere Indian Ocean (SIO). In the NIO, the transport of plastics is dominated by seasonally reversing monsoonal currents, which transport plastics back and forth between the Arabian Sea and the Bay of Bengal. All buoyant plastic material in this region beaches within a few years in our simulations. Countries bordering the Bay of Bengal are particularly heavily affected by plastics beaching on coastlines. This is a result of both the large sources of plastic waste in the region and the ocean dynamics that concentrate plastics in the Bay of Bengal. During the intermonsoon period following the southwest monsoon season (September, October, November), plastics can cross the Equator on the eastern side of the NIO basin into the SIO. Plastics that escape from the NIO into the SIO beach on eastern African coastlines and islands in the SIO or enter the subtropical SIO garbage patch.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

      <?xmltex \hack{\newpage}?>
<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e118">Large amounts of plastic waste enter the ocean every year <xref ref-type="bibr" rid="bib1.bibx24 bib1.bibx31 bib1.bibx47" id="paren.1"/>, potentially harming marine species and ecosystems <xref ref-type="bibr" rid="bib1.bibx29" id="paren.2"/>. A large percentage of global plastic waste is estimated to enter the Indian Ocean. Despite this, buoyant marine plastic debris (“plastics”) is relatively under-sampled and under-studied in the Indian Ocean <xref ref-type="bibr" rid="bib1.bibx60" id="paren.3"/>. The Indian Ocean atmospheric and oceanic dynamics are unique <xref ref-type="bibr" rid="bib1.bibx48" id="paren.4"/>, so the dynamics of plastics in the Indian Ocean differ from those in the other oceans <xref ref-type="bibr" rid="bib1.bibx55" id="paren.5"/>.</p>
      <p id="d1e136">In the Pacific and Atlantic oceans, plastics accumulate in so-called “garbage patches” in the subtropical ocean gyres <xref ref-type="bibr" rid="bib1.bibx36 bib1.bibx34 bib1.bibx59 bib1.bibx30 bib1.bibx14 bib1.bibx60" id="paren.6"><named-content content-type="pre">e.g.</named-content></xref>. Plastics also accumulate in a subtropical garbage patch in the Southern Hemisphere Indian Ocean, but this patch is much more dispersive and sensitive to different transport mechanisms (currents, wind, waves) than the garbage patches in the other oceans <xref ref-type="bibr" rid="bib1.bibx55" id="paren.7"/>. In contrast, the subtropical Northern Hemisphere Indian Ocean is blocked by landmass, so there is no subtropical gyre and associated garbage patch. In addition, it is unclear if plastics entering the Northern Hemisphere Indian Ocean cross the Equator into the subtropical garbage patch in the Southern Hemisphere, as we explain further in the following paragraphs.</p>
      <p id="d1e147">Strong currents are known to act as transport barriers for buoyant objects <xref ref-type="bibr" rid="bib1.bibx35" id="paren.8"/>. For example, most fluid parcels in the Gulf Stream flow downstream; cross-stream transport only occurs at depth <xref ref-type="bibr" rid="bib1.bibx5" id="paren.9"/>. As a result, there is almost no surface transport between<?pagebreak page1318?> the subtropics and the subpolar region in the North Atlantic Ocean: in 30 years only one ocean surface drifter crossed this boundary <xref ref-type="bibr" rid="bib1.bibx6" id="paren.10"/>. In the equatorial region, the easterly trade winds drive strong equatorial currents and counter-currents <xref ref-type="bibr" rid="bib1.bibx12" id="paren.11"/>. As a result, ocean surface drifters do not tend to cross the Equator and ultimately return to their original hemisphere <xref ref-type="bibr" rid="bib1.bibx34" id="paren.12"/>. It has therefore been suggested that plastics do not generally cross the Equator but remain in the hemisphere where they entered the ocean <xref ref-type="bibr" rid="bib1.bibx30" id="paren.13"/>.</p>
      <p id="d1e169">However, in contrast to the other oceans, the easterly trade winds in the Northern Hemisphere Indian Ocean are not steady. Instead, they generally only have an easterly component during December, January, and February and have a westerly component during the remainder of the year <xref ref-type="bibr" rid="bib1.bibx48" id="paren.14"/>. As a result, the North Equatorial Current and the South Equatorial Countercurrent in the Indian Ocean are not steady either. In addition, although the surface connectivity is split into two hemispheres in both the Pacific and Atlantic oceans, the surface of the Indian Ocean appears connected between hemispheres <xref ref-type="bibr" rid="bib1.bibx17" id="paren.15"/>. Because of this, it is unclear if plastics tend to remain in their original hemisphere in the Indian Ocean. The question is therefore what happens to plastics entering the Northern Hemisphere Indian Ocean (NIO).</p>
      <p id="d1e179">Measurements of open-ocean plastic concentrations in the Indian Ocean are scarce <xref ref-type="bibr" rid="bib1.bibx60" id="paren.16"><named-content content-type="pre">Fig. <xref ref-type="fig" rid="Ch1.F1"/>;</named-content></xref> and insufficient to determine the fate of plastics entering the NIO. However, numerical modelling studies show a garbage patch forming in the Bay of Bengal <xref ref-type="bibr" rid="bib1.bibx30 bib1.bibx55" id="paren.17"/>. Sampling studies confirm that there are high concentrations of plastics in the Bay of Bengal <xref ref-type="bibr" rid="bib1.bibx45" id="paren.18"/>, but it is not clear whether this is a result of plastics accumulating here or due to large nearby sources.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F1"><?xmltex \currentcnt{1}?><label>Figure 1</label><caption><p id="d1e197">Overview of standardized open-ocean plastic measurements in the Indian Ocean (filled circles), approximate locations of sampling studies of plastics on beaches (grey diamonds), and schematic dominant ocean surface currents (blue arrows) during the <bold>(a)</bold> northeast monsoon season and <bold>(b)</bold> southwest monsoon season. Open-ocean sampling studies were performed by <xref ref-type="bibr" rid="bib1.bibx37" id="text.19"/>, <xref ref-type="bibr" rid="bib1.bibx43" id="text.20"/>, <xref ref-type="bibr" rid="bib1.bibx15" id="text.21"/>, and <xref ref-type="bibr" rid="bib1.bibx7" id="text.22"/> and standardized by <xref ref-type="bibr" rid="bib1.bibx60" id="text.23"/>. Sampling studies of plastics on beaches were performed by <xref ref-type="bibr" rid="bib1.bibx44" id="text.24"/>, <xref ref-type="bibr" rid="bib1.bibx49" id="text.25"/>, <xref ref-type="bibr" rid="bib1.bibx33" id="text.26"/>, <xref ref-type="bibr" rid="bib1.bibx53" id="text.27"/>, <xref ref-type="bibr" rid="bib1.bibx3" id="text.28"/>, <xref ref-type="bibr" rid="bib1.bibx25" id="text.29"/>, <xref ref-type="bibr" rid="bib1.bibx13" id="text.30"/>, <xref ref-type="bibr" rid="bib1.bibx38" id="text.31"/>, <xref ref-type="bibr" rid="bib1.bibx4" id="text.32"/>, <xref ref-type="bibr" rid="bib1.bibx26" id="text.33"/>, <xref ref-type="bibr" rid="bib1.bibx22" id="text.34"/>, and <xref ref-type="bibr" rid="bib1.bibx28" id="text.35"/>. Schematic ocean surface currents are based on <xref ref-type="bibr" rid="bib1.bibx48" id="text.36"/>. The following currents are shown and labelled with their abbreviations: Northeast Monsoon Current (NMC) and Southwest Monsoon Current (SMC), North Equatorial Current (NEC), Somali Current (SC), South Equatorial Countercurrent (SECC), South Java Current (SJC), East African Coastal Current (EACC), Indonesian Throughflow (ITF), Northeast Madagascar Current (NEMC), Southeast Madagascar Current (SEMC), Agulhas Current (AC), Agulhas Retroflection (AR), Agulhas Return Current (ARC), South Indian Countercurrent (SICC), Leeuwin Current (LC).</p></caption>
        <?xmltex \igopts{width=207.705118pt}?><graphic xlink:href="https://os.copernicus.org/articles/16/1317/2020/os-16-1317-2020-f01.png"/>

      </fig>

      <p id="d1e269">Another hypothesis is that plastics end up on coastlines in the NIO. Multiple studies sampled plastics on beaches in the Indian Ocean <xref ref-type="bibr" rid="bib1.bibx44 bib1.bibx49 bib1.bibx33 bib1.bibx53 bib1.bibx3 bib1.bibx25 bib1.bibx13 bib1.bibx38 bib1.bibx4 bib1.bibx26 bib1.bibx22 bib1.bibx28" id="paren.37"><named-content content-type="pre">Fig. <xref ref-type="fig" rid="Ch1.F1"/>;</named-content></xref>, but because they used very different sampling methods on different timescales (Table <xref ref-type="table" rid="App1.Ch1.S1.T1"/>), their results are difficult to compare. However, they do provide qualitative evidence that plastic is found on coastlines throughout the Indian Ocean, both on populated beaches close to plastic sources <xref ref-type="bibr" rid="bib1.bibx53 bib1.bibx25 bib1.bibx26" id="paren.38"/> and on remote uninhabited coastlines and islands <xref ref-type="bibr" rid="bib1.bibx44 bib1.bibx49 bib1.bibx33 bib1.bibx3 bib1.bibx13 bib1.bibx38 bib1.bibx4 bib1.bibx22 bib1.bibx28" id="paren.39"/>. Which coastlines are most heavily affected by stranding plastics depends both on the location of plastic sources and the ocean dynamics in the region.</p>
      <?pagebreak page1319?><p id="d1e287">In the NIO, both the atmospheric and oceanic dynamics are dominated by the monsoon system, which is driven by differences in air temperature above the Asian continent and above the NIO <xref ref-type="bibr" rid="bib1.bibx48" id="paren.40"/>. During the southwest monsoon season (boreal summer: June, July, August) the air above the Asian continent is warmer than above the ocean, leading to predominantly southwesterly winds. In contrast, during the northeast monsoon season (boreal winter: December, January, February) the air above the ocean is warmer than above the Asian continent, resulting in predominantly northeasterly winds. These monsoonal winds result in strong seasonal variations in ocean surface currents in the NIO and Indian Ocean equatorial region.</p>
      <p id="d1e293">During the northeast monsoon season, the Northeast Monsoon Current (NMC) flows from the Bay of Bengal westwards past Sri Lanka and into the Arabian Sea <xref ref-type="bibr" rid="bib1.bibx48 bib1.bibx11" id="paren.41"><named-content content-type="pre">Fig. <xref ref-type="fig" rid="Ch1.F1"/>a;</named-content></xref>. The North Equatorial Current (NEC) also flows westwards during this season, feeding into the southwestward-flowing Somali Current (SC), which in turn feeds into the eastward-flowing South Equatorial Countercurrent (SECC). The South Java Current (SJC) flows southeastwards along Sumatra and Java, but is relatively weak during the northeast monsoon season <xref ref-type="bibr" rid="bib1.bibx51" id="paren.42"/>.</p>
      <p id="d1e307">During the southwest monsoon season the NMC dissolves, and instead the Southwest Monsoon Current (SMC) flows from the Arabian Sea eastwards past Sri Lanka and into the Bay of Bengal <xref ref-type="bibr" rid="bib1.bibx48 bib1.bibx11" id="paren.43"><named-content content-type="pre">Fig. <xref ref-type="fig" rid="Ch1.F1"/>b;</named-content></xref>. There is no NEC during this season, and as a result the SC reverses direction as it is supplied by the westward-flowing South Equatorial Current (SEC) and the East African Coastal Current (EACC). The SJC continues to flow southeastwards along Sumatra but flows northwestwards along Java <xref ref-type="bibr" rid="bib1.bibx51" id="paren.44"/>, as it is supplied by the strengthening Indonesian Throughflow (ITF) during the southwest monsoon season <xref ref-type="bibr" rid="bib1.bibx50" id="paren.45"/>. At the convergence of the two opposing flows, a current flows southwestwards and feeds into the SEC.</p>
      <p id="d1e323">During the intermonsoon periods, strong eastward-flowing surface Wyrtki jets develop along the Equator <xref ref-type="bibr" rid="bib1.bibx63" id="paren.46"/>; these are unique to the Indian Ocean. The Wyrtki jets are strongest during the intermonsoon period following the southwest monsoon season <xref ref-type="bibr" rid="bib1.bibx42" id="paren.47"/>. They strengthen the SJC, which flows southeastwards during the intermonsoon periods.</p>
      <p id="d1e332">The aim of this paper is to determine how these seasonally reversing ocean surface currents transport plastics that enter the NIO. Specifically, we focus on which coastlines are most heavily affected by stranding plastics. For convenience, we refer to plastics that are stranded on coastlines as “beaching” or “beached plastics”, where beaching can occur on any type of coastline, not just beaches. In addition to surface currents, wind and waves have a significant impact on the dynamics of buoyant objects in the Southern Hemisphere Indian Ocean <xref ref-type="bibr" rid="bib1.bibx55" id="paren.48"><named-content content-type="pre">SIO;</named-content></xref>. However, we only consider the influence of surface currents on the transport of plastics in this study; including dynamics due to wind and waves is beyond the scope of this paper. We discuss the reasons behind this, as well as the possible implications, in more detail in Sect. <xref ref-type="sec" rid="Ch1.S4"/>.</p>
      <p id="d1e342">Our results show that plastics in the NIO move back and forth between the Bay of Bengal and the Arabian Sea, following monsoonal winds and currents. Plastics beach on coastlines throughout the NIO. Countries bordering the Bay of Bengal are most heavily and consistently affected. We also show that plastics from the NIO can cross the Equator into the SIO. In our simulations, this mainly occurs during the intermonsoon period following the southwest monsoon season (September, October, November), and we suggest a mechanism for the “escape” of plastics from the NIO into the SIO. Plastics that cross into the SIO beach along the entire eastern African coastline as well as on remote islands.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Methodology</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Plastic sources</title>
      <p id="d1e360">Global plastic waste inputs from coastlines were estimated by <xref ref-type="bibr" rid="bib1.bibx24" id="text.49"/>, and inputs from rivers were estimated by both <xref ref-type="bibr" rid="bib1.bibx31" id="text.50"/> and <xref ref-type="bibr" rid="bib1.bibx47" id="text.51"/>. The estimate by <xref ref-type="bibr" rid="bib1.bibx24" id="text.52"/> is based on a fixed percentage of mismanaged plastic waste per country entering the ocean. In addition to mismanaged plastic waste, <xref ref-type="bibr" rid="bib1.bibx31" id="text.53"/> and <xref ref-type="bibr" rid="bib1.bibx47" id="text.54"/> included the influence of river catchment geography and river discharge to estimate how much plastic waste enters the ocean. They also calibrated their estimates based on available measurements of plastic concentrations in rivers around the globe. The total amount of plastic waste entering the ocean from rivers each year estimated by <xref ref-type="bibr" rid="bib1.bibx31" id="text.55"/> and <xref ref-type="bibr" rid="bib1.bibx47" id="text.56"/> agree relatively well with each other. In contrast, the estimate by <xref ref-type="bibr" rid="bib1.bibx24" id="text.57"/> is an order of magnitude larger. In this paper, we use plastic waste input from rivers estimated by <xref ref-type="bibr" rid="bib1.bibx31" id="text.58"/> as plastic source locations in our simulations (Sect. <xref ref-type="sec" rid="Ch1.S2.SS2"/>). These inputs are based on measurements of floating plastics in rivers with sizes ranging between 0.3 mm and 0.5 m and are the more conservative option compared to those of <xref ref-type="bibr" rid="bib1.bibx24" id="text.59"/>.</p>
      <p id="d1e400">The largest plastic source locations in the NIO are located around the Bay of Bengal and on the eastern side of the Arabian Sea (Fig. <xref ref-type="fig" rid="Ch1.F2"/>a). <xref ref-type="bibr" rid="bib1.bibx31" id="text.60"/> derived monthly plastic waste inputs, which mainly vary depending on river discharge. The wet season with the largest discharges is in boreal summer in the NIO, and plastic waste input in the region peaks in August (Fig. <xref ref-type="fig" rid="Ch1.F2"/>b).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><?xmltex \currentcnt{2}?><label>Figure 2</label><caption><p id="d1e412"><bold>(a)</bold> Locations of plastic waste input from rivers in the Northern Hemisphere Indian Ocean based on <xref ref-type="bibr" rid="bib1.bibx31" id="text.61"/>. We release particles from these locations in our particle-tracking simulations (Sect. <xref ref-type="sec" rid="Ch1.S2.SS2"/>). <bold>(b)</bold> Total plastic waste input in the Northern Hemisphere Indian Ocean for each month. <xref ref-type="bibr" rid="bib1.bibx31" id="text.62"/> based the monthly variation of plastic input on seasonal variations in river discharges. We release particles following this monthly variation in our particle-tracking simulations, where 1 particle represents 1 t of plastic waste (Sect. <xref ref-type="sec" rid="Ch1.S2.SS2"/>).</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://os.copernicus.org/articles/16/1317/2020/os-16-1317-2020-f02.png"/>

        </fig>

</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Particle-tracking simulations</title>
      <p id="d1e444">We use OceanParcels-v2 <xref ref-type="bibr" rid="bib1.bibx27 bib1.bibx10" id="paren.63"/> to run Lagrangian<?pagebreak page1320?> particle-tracking simulations of plastics released in the NIO, forced by ocean surface currents from HYCOM+NCODA Global <inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> Reanalysis data <xref ref-type="bibr" rid="bib1.bibx8 bib1.bibx9" id="paren.64"><named-content content-type="pre">HYCOM;</named-content></xref>. Ocean surface currents from HYCOM are available at 3-hourly temporal resolution and <inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M4" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> horizontal resolution from 1 January 1995 to 31 December 2015. We use a time step of <inline-formula><mml:math id="M5" display="inline"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>t</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> h in the particle-tracking simulations and use 5 d outputs of particle locations for analysis. We include Brownian particle diffusion with a constant horizontal diffusion coefficient of <inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mi mathvariant="normal">h</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">10.0</mml:mn></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M8" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. We determined the value of <inline-formula><mml:math id="M9" display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mi mathvariant="normal">h</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> following the definition of <xref ref-type="bibr" rid="bib1.bibx41" id="text.65"/>: <inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:msub><mml:mi>K</mml:mi><mml:mi mathvariant="normal">h</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msup><mml:mi mathvariant="italic">ϵ</mml:mi><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:msup><mml:mi>x</mml:mi><mml:mrow><mml:mn mathvariant="normal">4</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, where <inline-formula><mml:math id="M11" display="inline"><mml:mrow><mml:mi mathvariant="italic">ϵ</mml:mi><mml:mo>=</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math id="M12" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> is the turbulent dissipation rate and <inline-formula><mml:math id="M14" display="inline"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>x</mml:mi><mml:mo>=</mml:mo><mml:mi mathvariant="script">O</mml:mi><mml:mo>(</mml:mo><mml:mn mathvariant="normal">10</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M15" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> is the size of a grid cell in HYCOM.</p>
      <p id="d1e663">We limit the domain of our particle-tracking simulations between 0 to 130<inline-formula><mml:math id="M16" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, and 50<inline-formula><mml:math id="M17" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S to 40<inline-formula><mml:math id="M18" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. Particles are removed from the simulation after passing through these boundaries. We choose this relatively large domain because we are interested in the amount of particles that cross from the NIO into the SIO, as well as any particles that escape from the SIO into the other ocean basins. The simulation domain extends relatively far east and south to include the Agulhas Retroflection <xref ref-type="bibr" rid="bib1.bibx18" id="paren.66"><named-content content-type="pre">e.g.</named-content></xref>, and thus any particles caught in the retroflection can escape from the SIO into the South Atlantic Ocean but also potentially move back into the SIO with the Agulhas Return Current. The definitions of the NIO and SIO that we use are shown in Fig. <xref ref-type="fig" rid="App1.Ch1.S1.F7"/>.</p>
<sec id="Ch1.S2.SS2.SSS1">
  <label>2.2.1</label><title>Long-term simulation</title>
      <p id="d1e707">We run 21-year particle-tracking simulations to determine the dynamics of plastics released in the NIO. During the first year of the simulation, we release particles into the NIO from river plastic source locations <xref ref-type="bibr" rid="bib1.bibx31" id="paren.67"><named-content content-type="pre">Fig. <xref ref-type="fig" rid="Ch1.F2"/>a;</named-content></xref>. Several of the source locations available from <xref ref-type="bibr" rid="bib1.bibx31" id="text.68"/> are located on land grid cells in HYCOM. We prevent particles from being released on or very close to land by increasing the HYCOM land mask with one grid cell and then moving any release locations on land to the nearest ocean grid cell (Fig. <xref ref-type="fig" rid="App1.Ch1.S1.F8"/>). We include the monthly variation of plastic waste input from rivers (Fig. <xref ref-type="fig" rid="Ch1.F2"/>b) in our simulation by releasing particles on the first day of every month. A single particle in our simulation represents 1 t of plastic waste; we release a total of 267710 particles. After inputting particles for the first year, we then run the simulation for an additional 20 years to determine the influence of the Indian Ocean dynamics on particle transport.</p>
      <p id="d1e724">We release simulated particles in 1995 because HYCOM data is available from then onwards, and we want to run simulations for as long as possible using this dataset. This does not necessarily mean that the plastic waste input estimated by <xref ref-type="bibr" rid="bib1.bibx31" id="text.69"/> is representative for 1995. We are interested in the large-scale and long-term dynamics of plastics in the NIO rather than in the behaviour of plastics during a specific time period, so this is not an issue for this paper.</p>
</sec>
<sec id="Ch1.S2.SS2.SSS2">
  <label>2.2.2</label><title>Monsoonal simulation</title>
      <p id="d1e738">In addition to long-term dynamics, we are also interested in the influence of the monsoon system on the transport of plastics. One of the dominant climate modes that influences atmospheric and oceanic dynamics in the NIO is the Indian Ocean Dipole <xref ref-type="bibr" rid="bib1.bibx46 bib1.bibx2 bib1.bibx48" id="paren.70"><named-content content-type="pre">IOD;</named-content></xref>. To determine the influence of the monsoon season on plastic transport in the NIO, we run an additional simulation during neutral IOD conditions. Both 2008 and 2009 were neutral IOD years, with relatively low values of the Dipole Mode Index <xref ref-type="bibr" rid="bib1.bibx46" id="paren.71"><named-content content-type="pre">DMI; Fig. <xref ref-type="fig" rid="App1.Ch1.S1.F9"/>;</named-content></xref>. We therefore release particles in 2008 using the same release method described in Sect. <xref ref-type="sec" rid="Ch1.S2.SS2.SSS1"/> and continue the simulation to the end of 2009. We use the simulation results of the second simulation year to illustrate the influence of the monsoon system on plastic transport in the NIO (Sect. <xref ref-type="sec" rid="Ch1.S3.SS1"/>).</p><?xmltex \hack{\newpage}?>
</sec>
</sec>
<?pagebreak page1321?><sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Beaching</title>
      <p id="d1e767">We do not implement any specific beaching behaviour during the particle-tracking simulation. Instead, particles remain adrift in the simulation and we apply beaching conditions to each particle afterwards, using 5 d outputs of particle locations. This way, we can easily implement different beaching conditions and determine the sensitivity of our results without running a large number of simulations.</p>
      <p id="d1e770">Beaching of plastics is highly complex and strongly influenced by small-scale coastal ocean dynamics <xref ref-type="bibr" rid="bib1.bibx23" id="paren.72"/>, as well as the local morphology of the coastline <xref ref-type="bibr" rid="bib1.bibx64" id="paren.73"/>. In addition, beached plastics do not necessarily remain beached but can return to the ocean <xref ref-type="bibr" rid="bib1.bibx64 bib1.bibx32" id="paren.74"/>. Plastics also fragment relatively easily while exposed to sunlight and high temperatures on beaches <xref ref-type="bibr" rid="bib1.bibx1" id="paren.75"/>, as well as breaking waves near coastlines <xref ref-type="bibr" rid="bib1.bibx64" id="paren.76"/>. As a result of changes in the material characteristics (shape, size, density) of plastics, their response to ocean dynamics may also change <xref ref-type="bibr" rid="bib1.bibx34 bib1.bibx55" id="paren.77"><named-content content-type="pre">e.g.</named-content></xref>. It is beyond the purpose and scope of this paper to account for these complex and small-scale beaching dynamics of plastics. Instead, our goal is to provide indicative large-scale spatial patterns of beaching plastics in the NIO.</p>
      <p id="d1e794">We define that particles within a distance <inline-formula><mml:math id="M19" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>x</mml:mi></mml:mrow></mml:math></inline-formula> of any coastline, and moving towards the coastline (defined as a decreasing distance to the coast), beach randomly with a specific probability <inline-formula><mml:math id="M20" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>. The beaching probability can assume values between a minimum value of 0 (no particles beach) and a maximum value of 1 (all particles within a distance <inline-formula><mml:math id="M21" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>x</mml:mi></mml:mrow></mml:math></inline-formula> of a coastline beach) per 5 d. If a particle beaches, it remains beached, and its location is fixed for the remainder of the simulation. Similar methods to account for beaching plastics in large-scale simulations have been used in other studies <xref ref-type="bibr" rid="bib1.bibx32" id="paren.78"/>.</p>
      <p id="d1e827">We use the distance to the nearest coastline from GSHHG-v2.3.7 data <xref ref-type="bibr" rid="bib1.bibx62" id="paren.79"><named-content content-type="pre">Fig. <xref ref-type="fig" rid="App1.Ch1.S1.F10"/>;</named-content></xref> to determine the distance of particles to a coastline. This dataset has a horizontal resolution of 1 arcmin. The high resolution allows us to include the coastlines of small islands in our beaching analysis.</p>
<sec id="Ch1.S2.SS3.SSSx1" specific-use="unnumbered">
  <?xmltex \opttitle{Sensitivity to beaching distance $\Delta x$ and probability $p$}?><title>Sensitivity to beaching distance <inline-formula><mml:math id="M22" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>x</mml:mi></mml:mrow></mml:math></inline-formula> and probability <inline-formula><mml:math id="M23" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula></title>
      <p id="d1e860">We performed sensitivity analyses of our results for different values of both the beaching distance <inline-formula><mml:math id="M24" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>x</mml:mi></mml:mrow></mml:math></inline-formula> and probability <inline-formula><mml:math id="M25" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>. We used <inline-formula><mml:math id="M26" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>x</mml:mi><mml:mo>=</mml:mo><mml:mo>[</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mo>,</mml:mo><mml:mn mathvariant="normal">4</mml:mn><mml:mo>,</mml:mo><mml:mn mathvariant="normal">8</mml:mn><mml:mo>,</mml:mo><mml:mn mathvariant="normal">16</mml:mn><mml:mo>]</mml:mo></mml:mrow></mml:math></inline-formula> km with <inline-formula><mml:math id="M27" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.50</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M28" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> to determine the sensitivity of our results to beaching at different distances <inline-formula><mml:math id="M29" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>x</mml:mi></mml:mrow></mml:math></inline-formula> from the nearest coastline. Our results are not very sensitive to these different values of <inline-formula><mml:math id="M30" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>x</mml:mi></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="App1.Ch1.S1.F11"/>). We therefore use a fixed value of <inline-formula><mml:math id="M31" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>x</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula> km (which is approximately the size of one HYCOM grid cell) for the rest of our analyses.</p>
      <p id="d1e972"><?xmltex \hack{\newpage}?>In contrast, our results are sensitive to different values of beaching probability <inline-formula><mml:math id="M32" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>. We discuss this further in Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/> and present our results for different values of <inline-formula><mml:math id="M33" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Results</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Monsoonal influence and escape mechanism from NIO to SIO</title>
      <p id="d1e1009">Particle-tracking simulation results during neutral IOD conditions and without beaching illustrate the influence of the monsoon season on the transport of particles in the NIO. We do not include any beaching effects in these simulation results because our purpose with this simulation is to qualitatively illustrate the transport of particles by ocean surface currents. During the northeast monsoon season, particles are transported from the Bay of Bengal towards the Arabian Sea by the Northeast Monsoon Current (NMC, Fig. <xref ref-type="fig" rid="Ch1.F3"/>a). Particles are present throughout both the Arabian Sea and the Bay of Bengal during the following intermonsoon period (Fig. <xref ref-type="fig" rid="Ch1.F3"/>b). During the southwest monsoon season, particles are transported from the Arabian Sea towards the Bay of Bengal by the Southwest Monsoon Current (SMC, Fig. <xref ref-type="fig" rid="Ch1.F3"/>c). Most particles are in the Bay of Bengal during this season and remain there during the next intermonsoon period as eastward Wyrtki jets (WJ) develop around the Equator (Fig. <xref ref-type="fig" rid="Ch1.F3"/>d).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><?xmltex \currentcnt{3}?><label>Figure 3</label><caption><p id="d1e1022">Particle density of simulated particles released from river source locations in the Northern Hemisphere Indian Ocean during neutral Indian Ocean Dipole conditions and without beaching at the end of <bold>(a)</bold> the northeast monsoon season (February), <bold>(b)</bold> the intermonsoon period transitioning from the northeast to the southwest monsoon (May), <bold>(c)</bold> the southwest monsoon season (August), and <bold>(d)</bold> the intermonsoon period transitioning from the southwest to the northeast monsoon (November). Blue arrows indicate relevant ocean surface currents labelled with their abbreviations: Northeast Monsoon Current (NMC), Wyrtki jets (WJ), Southwest Monsoon Current (SMC), South Java Current (SJC), and South Equatorial Current (SEC).</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://os.copernicus.org/articles/16/1317/2020/os-16-1317-2020-f03.png"/>

        </fig>

      <p id="d1e1043">These simulation results indicate that particles leave the Arabian Sea depending on the monsoon season. In contrast, there are relatively high particle concentrations in the Bay of Bengal throughout the year. Although there is no region of consistent downwelling in the Bay of Bengal (and therefore no persistent accumulation of plastics), anti-cyclonic and cyclonic gyres develop in the bay throughout the year <xref ref-type="bibr" rid="bib1.bibx39" id="paren.80"/>, which may trap plastics. In addition, the annual mean flow along the Equator is eastwards, directed from the Arabian Sea towards the Bay of Bengal <xref ref-type="bibr" rid="bib1.bibx48 bib1.bibx11" id="paren.81"/>.</p>
      <p id="d1e1053">These simulation results also indicate an escape mechanism for particles to cross the Equator from the NIO into the SIO. Particles mainly cross the Equator during the intermonsoon period following the southwest monsoon season (Fig. <xref ref-type="fig" rid="Ch1.F3"/>d). During this period, the WJ are at their strongest <xref ref-type="bibr" rid="bib1.bibx42" id="paren.82"/> and particles are transported eastwards along the Equator. Particles cross the Equator with the southeastward-flowing South Java Current (SJC) and connect with the westward-flowing South Equatorial Current (SEC).</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Beaching</title>
      <?pagebreak page1322?><p id="d1e1069">As described in Sect. <xref ref-type="sec" rid="Ch1.S2.SS3"/>, we allow simulated particles to randomly beach with a probability <inline-formula><mml:math id="M34" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> if they are moving towards the coast within a distance <inline-formula><mml:math id="M35" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>x</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula> km of a coastline. Realistic beaching probabilities of plastics are unknown and are beyond the scope of this paper to determine. We therefore consider particle-tracking simulation results for a beaching probability of <inline-formula><mml:math id="M36" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.50</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M37" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, as well as a “high” beaching probability of <inline-formula><mml:math id="M38" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.95</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M39" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and a “low” beaching probability of <inline-formula><mml:math id="M40" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M41" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><label>Figure 4</label><caption><p id="d1e1170">Percentage of total simulated particles as a function of the simulation duration that have beached in the Northern Hemisphere (NIO) or Southern Hemisphere Indian Ocean (SIO), are afloat in the NIO or SIO, or have left the Indian Ocean entirely under <bold>(a)</bold> a high beaching probability of <inline-formula><mml:math id="M42" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.95</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M43" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, <bold>(b)</bold> a beaching probability of <inline-formula><mml:math id="M44" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.50</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M45" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, and <bold>(c)</bold> a low beaching probability of <inline-formula><mml:math id="M46" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M47" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Percentages are shown after all particles have been released after 1 year of simulation, and up to 10 years of simulation, after which the simulation results have reached a steady state in all cases.</p></caption>
          <?xmltex \igopts{width=327.206693pt}?><graphic xlink:href="https://os.copernicus.org/articles/16/1317/2020/os-16-1317-2020-f04.png"/>

        </fig>

      <p id="d1e1261">In both the simulation with high beaching probability and that with a beaching probability of <inline-formula><mml:math id="M48" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.50</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M49" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, almost all particles beach in the NIO within 3 years (Fig. <xref ref-type="fig" rid="Ch1.F4"/>a and b). Only approximately 0.6 % of all particles cross from the NIO into the SIO in the high beaching probability simulation, compared to about 1 % of all particles in the simulation with beaching probability of <inline-formula><mml:math id="M50" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.50</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M51" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. In the simulation with low beaching probability, around 86 % of all particles beach in the NIO after approximately 10 years (Fig. <xref ref-type="fig" rid="Ch1.F4"/>c). About 5.7 % of all particles cross the Equator into the SIO in this simulation, where they either beach (4.2 %) or end up in the subtropical SIO garbage patch (1.5 %).</p>
<sec id="Ch1.S3.SS2.SSSx1" specific-use="unnumbered">
  <title>Countries most affected</title>
      <p id="d1e1323">Which countries are most heavily affected by beaching particles released from the NIO depends on the beaching probability <inline-formula><mml:math id="M52" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>. Nevertheless, there are some noteworthy general results and trends. Countries bordering the Bay of Bengal are consistently and heavily affected both for high and low beaching probability (Fig. <xref ref-type="fig" rid="Ch1.F5"/>a and c, respectively). For high beaching probability, this is most likely due to the large source locations of particles in the Bay of Bengal (Fig. <xref ref-type="fig" rid="Ch1.F2"/>a). For low beaching probability, however, this is more likely a result of ocean dynamics in the region. As shown in Sect. <xref ref-type="sec" rid="Ch1.S3.SS1"/> (Fig. <xref ref-type="fig" rid="Ch1.F3"/>), there are particles in the Bay of Bengal throughout the year, which are therefore likely to beach in the region.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><label>Figure 5</label><caption><p id="d1e1343">Density of beached particles per country or island and density of particles in the ocean per 0.5<inline-formula><mml:math id="M53" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M54" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.5<inline-formula><mml:math id="M55" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> grid cell for particles released from river source locations in the Northern Hemisphere Indian Ocean after 21 years of simulation, with <bold>(a)</bold> a high beaching probability, i.e. <inline-formula><mml:math id="M56" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.95</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M57" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (10-year animation of simulation results available at <uri>https://doi.org/10.5446/47058</uri>, <xref ref-type="bibr" rid="bib1.bibx58" id="altparen.83"/>); <bold>(b)</bold> a beaching probability of <inline-formula><mml:math id="M58" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.50</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M59" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (10-year animation of simulation results available at <uri>https://doi.org/10.5446/47057</uri>, <xref ref-type="bibr" rid="bib1.bibx57" id="altparen.84"/>); <bold>(c)</bold> a low beaching probability, i.e. <inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M61" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (10-year animation of simulation results available at <uri>https://doi.org/10.5446/47056</uri>, <xref ref-type="bibr" rid="bib1.bibx56" id="altparen.85"/>); and <bold>(d)</bold> no beaching. Filled circles highlight islands that do not clearly show up on the map otherwise, from north to south these represent: the Maldives, Seychelles, the British Indian Ocean Territory, Christmas Island, Cocos (Keeling) Islands, Comoros, Mauritius, and Réunion. Connectivity matrices showing the percentage of particles that beach in selected countries (rows) against countries of origin (columns), for <bold>(e)</bold> a high beaching probability, i.e. <inline-formula><mml:math id="M62" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.95</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M63" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>; <bold>(f)</bold> a beaching probability of <inline-formula><mml:math id="M64" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.50</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M65" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>; and <bold>(g)</bold> a low beaching probability, i.e. <inline-formula><mml:math id="M66" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M67" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. In these matrices, India is split into a western side bordering the Arabian Sea, i.e. “India (AS)”, and an eastern side bordering the Bay of Bengal, i.e. “India (BoB)”. Note that the sum of each row does not always precisely equal 100 % because not all countries with river plastic sources are shown, percentages are rounded to integer numbers, and percentages below 1 % are omitted.</p></caption>
            <?xmltex \igopts{width=315.825591pt}?><graphic xlink:href="https://os.copernicus.org/articles/16/1317/2020/os-16-1317-2020-f05.png"/>

          </fig>

      <p id="d1e1564">Connectivity matrices <xref ref-type="bibr" rid="bib1.bibx16" id="paren.86"><named-content content-type="pre">such as those used by, e.g.</named-content></xref> showing the percentage of beached particles originating from different countries confirm this. For high beaching probability, particles that beach in specific countries mainly originate from that same country (Fig. <xref ref-type="fig" rid="Ch1.F5"/>e, high percentages along the diagonal). In contrast, for low beaching probability, beached particles originate from multiple different countries (Fig. <xref ref-type="fig" rid="Ch1.F5"/>g). In the Bay of Bengal, notable exceptions to this are Bangladesh and Malaysia, for which <inline-formula><mml:math id="M68" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 90 % of beached plastics originate from their own country, even for low beaching probability.</p>
      <p id="d1e1583">The countries that are among the top 15 that receive the most beached particles for all beaching probability <inline-formula><mml:math id="M69" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> values are: Bangladesh, Myanmar, India, Malaysia, Indonesia, Sri Lanka, Thailand, Pakistan, the Maldives, and Somalia (Table <xref ref-type="table" rid="App1.Ch1.S1.T3"/>). Of these, only Somalia does not border the Bay of Bengal and does not have significant nearby inputs of plastic waste from rivers (Fig. <xref ref-type="fig" rid="Ch1.F2"/>a). For low beaching probabilities, most particles beaching in Somalia originate from countries bordering the Bay of Bengal (Fig. <xref ref-type="fig" rid="Ch1.F5"/>g). These particles most likely end up near Somalia as they are transported westward by the North Equatorial Current and the Somali Current during the northeast monsoon season.</p>
      <p id="d1e1600">The Maldives is also noteworthy as it receives a relatively large percentage of particles for almost all values of <inline-formula><mml:math id="M70" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>, even though it has no river plastic sources of its own. Because both the Northeast Monsoon Current (NMC) and the Southwest Monsoon Current (SMC) flow past the Maldives in reversing directions, it is not unexpected that the Maldives are heavily affected by beaching particles. Similarly, Sri Lanka is also affected by beaching particles from multiple source countries as the NMC and SMC flow past.</p>
      <p id="d1e1610">For decreasing beaching probabilities <inline-formula><mml:math id="M71" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>, a larger percentage of particles crosses from the NIO into the SIO, and several countries and islands in the SIO are increasingly affected by beaching particles (Table <xref ref-type="table" rid="App1.Ch1.S1.T3"/>). Most notable among these are Madagascar and Mozambique, which are among the top 15 most affected countries for beaching probabilities <inline-formula><mml:math id="M72" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>≤</mml:mo><mml:mn mathvariant="normal">0.225</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M73" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Discussion</title>
      <p id="d1e1657">The aim of this paper is to determine what happens to plastics entering the NIO from rivers and which countries and islands are most heavily affected by beaching plastics. Our particle-tracking simulation results illustrate that particles move between the Arabian Sea and the Bay of Bengal depending on the monsoon season. During the northeast monsoon season<?pagebreak page1323?> large amounts of particles are present in the Arabian Sea as they are transported from the Bay of Bengal by the Northeast Monsoon Current (NMC). In contrast, during the southwest monsoon season particles are largely depleted from the Arabian Sea by the Southwest Monsoon Current (SMC) and move into the Bay of Bengal. Despite the annual back-and-forth movement, particles remain present year-round in the Bay of Bengal. This is possibly a result of the annual mean eastward flow in the equatorial region <xref ref-type="bibr" rid="bib1.bibx48" id="paren.87"/>, as well as anti-cyclonic and cyclonic gyres that develop in the Bay of Bengal throughout the year <xref ref-type="bibr" rid="bib1.bibx39" id="paren.88"/>, which may trap plastics.</p>
      <?pagebreak page1325?><p id="d1e1666">Countries bordering the Bay of Bengal are consistently and heavily affected by beaching plastics. Specifically, Bangladesh, Myanmar, India, Malaysia, Indonesia, Sri Lanka, Thailand, Pakistan, the Maldives, and Somalia are in the top 15 most affected countries in all our simulations. For high beaching probabilities, all particles beach in the NIO within 3 years. In this case, the locations where particles beach is mainly a result of large plastic sources in the region, and plastics mainly beach in their country of origin. However, for low beaching probabilities, this is more likely a result of ocean dynamics, and beached plastics originate from multiple different countries. Because the NIO dynamics concentrate plastics in the Bay of Bengal, bordering countries are affected by beaching even on long timescales of <inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:mi mathvariant="script">O</mml:mi><mml:mo>(</mml:mo><mml:mn mathvariant="normal">10</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> years.</p>
      <p id="d1e1683">Somalia and the Maldives are specifically noteworthy countries affected by beaching plastics from the NIO in our simulations. Somalia does not border the Bay of Bengal and does not have any large nearby sources of plastic coming from rivers. Nevertheless, large amounts of particles consistently beach here. For low beaching probabilities, beached river plastics in Somalia mainly originate from countries that border the Bay of Bengal. The westward-flowing North Equatorial Current and the southwestward-flowing Somalia Current likely transport plastics to Somalia during the northeast monsoon season. The Maldives is noteworthy because the NMC and the SMC transport particles back and forth past the islands twice a year, which increases the likelihood of plastics beaching here. The same is true for Sri Lanka in our simulations.</p>
      <p id="d1e1686">For low beaching probabilities, up to 5 % of particles escape from the NIO into the SIO. This mainly occurs on the eastern side of the NIO basin during the intermonsoon period following the southwest monsoon season (September, October, November). We propose the following mechanism for particles crossing from the NIO into the SIO: (1) particles are transported eastwards by equatorial Wyrtki jets during the intermonsoon period, (2) particles are transported southeastwards across the Equator by the South Java Current (SJC), (3) particles are transported southwestwards as the SJC feeds into the South Equatorial Current (SEC), and (4) particles are transported westwards by the SEC into the subtropical SIO.</p>
      <p id="d1e1690">Simulated particles that cross from the NIO into the SIO mainly beach on eastern African coastlines or accumulate in the subtropical SIO garbage patch. Madagascar and Mozambique are most notably increasingly affected as more particles cross into the SIO.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><label>Figure 6</label><caption><p id="d1e1695"><bold>(a)</bold> Locations of plastic waste input from rivers in the Southern Hemisphere Indian Ocean based on <xref ref-type="bibr" rid="bib1.bibx31" id="text.89"/>. Density of beached particles per country or island and density of particles in the ocean per 0.5<inline-formula><mml:math id="M75" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M76" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.5<inline-formula><mml:math id="M77" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> grid cell for particles released from river source locations in the Southern Hemisphere Indian Ocean after 21 years of simulation, with <bold>(b)</bold> a high beaching probability, i.e. <inline-formula><mml:math id="M78" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.95</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M79" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (10-year animation of simulation results available at <uri>https://doi.org/10.5446/47058</uri>, <xref ref-type="bibr" rid="bib1.bibx58" id="altparen.90"/>); <bold>(c)</bold> a beaching probability of <inline-formula><mml:math id="M80" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.50</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M81" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (10-year animation of simulation results available at <uri>https://doi.org/10.5446/47057</uri>, <xref ref-type="bibr" rid="bib1.bibx57" id="altparen.91"/>); and <bold>(d)</bold> a low beaching probability, i.e. <inline-formula><mml:math id="M82" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M83" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (10-year animation of simulation results available at <uri>https://doi.org/10.5446/47056</uri>, <xref ref-type="bibr" rid="bib1.bibx56" id="altparen.92"/>). Filled circles highlight islands that do not clearly show up on the map otherwise, from north to south these represent: the Maldives, Seychelles, the British Indian Ocean Territory, Christmas Island, Cocos (Keeling) Islands, Comoros, Mauritius, and Réunion. Connectivity matrices showing the percentage of particles that beach in selected countries (rows) against countries of origin (columns) for <bold>(e)</bold> a high beaching probability, i.e. <inline-formula><mml:math id="M84" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.95</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M85" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>; <bold>(f)</bold> a beaching probability of <inline-formula><mml:math id="M86" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.50</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M87" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>; and <bold>(g)</bold> a low beaching probability, i.e. <inline-formula><mml:math id="M88" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M89" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Note that the sum of each row does not always precisely equal 100 % because not all countries with river plastic sources are shown, percentages are rounded to integer numbers, and percentages below 1 % are omitted.</p></caption>
        <?xmltex \igopts{width=355.659449pt}?><graphic xlink:href="https://os.copernicus.org/articles/16/1317/2020/os-16-1317-2020-f06.png"/>

      </fig>

      <p id="d1e1918">Countries and islands in the SIO will of course also be affected by beaching plastics entering the ocean from source locations in the SIO (Fig. <xref ref-type="fig" rid="Ch1.F6"/>a). In this case, simulation results show that the most affected countries in the SIO are similar to those affected by plastics escaping from the NIO into the SIO (Fig. <xref ref-type="fig" rid="Ch1.F6"/>b, c, and d). Notable exceptions to this are the Cocos (Keeling) Islands and Christmas Island, both of which are more severely affected by beaching particles originating from the SIO (especially with high beaching probability, Fig. <xref ref-type="fig" rid="Ch1.F6"/>b). Connectivity matrices indicate that particles mostly beach in their country of origin, or come from Indonesia (Fig. <xref ref-type="fig" rid="Ch1.F6"/>e, f, and g). Besides beaching in the SIO, plastics entering the SIO also accumulate in the subtropical garbage patch (up to 5 % for high beaching probability versus 36 % for low beaching probability). Particles can also cross the Equator and beach in NIO countries, although this occurs less frequently than plastics crossing from the NIO into the SIO (around 2 % crossing from the SIO into the NIO, compared to up to 5 % crossing from the NIO into the SIO for low beaching probabilities). Finally, particles entering the SIO also escape the Indian Ocean entirely: up to 2 % for high beaching probability and up to 7 % for low beaching probability.</p>
      <p id="d1e1929">Our results indicate that a large percentage of plastics end up on coastlines in the Indian Ocean. In our simulations with a high beaching probability, 100 % of particles beach in the NIO within 3 years. Up to 90 % of particles beach in either the NIO or SIO within 10 years in our simulations with a low beaching probability. These results are in good general agreement with those of <xref ref-type="bibr" rid="bib1.bibx32" id="text.93"/>, who showed that roughly 67 % of all global plastic waste ended up on coastlines. <xref ref-type="bibr" rid="bib1.bibx32" id="text.94"/> therefore suggested that the large mismatch between the estimated amount of plastic entering the ocean globally and the total estimated amount of plastic floating on the ocean surface <xref ref-type="bibr" rid="bib1.bibx60" id="paren.95"><named-content content-type="pre">the “missing plastic”,</named-content></xref> can be explained by plastics stored on coastlines. However, our simulations illustrate that results are sensitive to different beaching conditions, specifically the beaching probability. To determine if beached plastics can indeed explain the whereabouts of the missing plastic, it is therefore important to improve the simulation of beaching in numerical models and apply reliable beaching conditions.</p>
      <p id="d1e1943">The importance of coastal dynamics in the transport of plastics to the open ocean was recently demonstrated by <xref ref-type="bibr" rid="bib1.bibx65" id="text.96"/>, who found that as a result of tidal dynamics only roughly 20 % of simulated particles released around the East China Sea were transported to the open ocean. <xref ref-type="bibr" rid="bib1.bibx40" id="text.97"/> showed that ocean surface drifters in an estuary ran aground on timescales much shorter than the transport time to the open ocean. Both of these studies illustrate the importance of local dynamics in transporting plastics to the ocean. A better understanding of the overall effect of these dynamics, as well as a method to apply them on large scales (for example using a realistic beaching probability), is therefore needed to improve global- and basin-scale models of beaching plastics.</p>
      <p id="d1e1953">In addition, we applied a single beaching probability throughout the Indian Ocean to our simulation results. Because beaching mechanisms depend on local coastal dynamics and morphology, beaching probabilities likely vary from location to location. A better understanding of the spatial variation of beaching probabilities depending on local conditions will likely improve the numerical simulation of beaching plastics. Finally, we did not take into account that beached plastics can also return to the ocean. Including these dynamics may also improve the simulation of beaching plastics. Recent works by <xref ref-type="bibr" rid="bib1.bibx20 bib1.bibx19" id="text.98"/> may contribute to this.</p>
      <?pagebreak page1327?><p id="d1e1959">The work of <xref ref-type="bibr" rid="bib1.bibx55" id="text.99"/> showed that different transport mechanisms, due to wind and waves, have a significant influence on the accumulation of buoyant debris in the subtropical SIO garbage patch. In this paper, we only considered the effect of ocean surface currents on the transport of river plastics entering the NIO. It is not straightforward to apply the same beaching methodology when simulations are forced not only by ocean surface currents but also by wind and wave effects. This is because, in contrast to ocean surface currents, the transport due to wind and Stokes drift can be directed perpendicular to coastlines. This means that including wind or wave effects adds a physical mechanism to the beaching of particles. However, in our methodology we assume that there are no physical beaching processes in the particle-tracking simulations, and beaching is included purely as a specified probability acting a certain distance from the coastline. This assumption is reasonable when particles are forced only by ocean surface currents, but it is no longer valid when wind or Stokes drift forcing is included as well. The best method to include wind and wave effects in these beaching simulations needs more careful consideration and extended analysis, which we will do in future work.</p>
      <p id="d1e1965">Because we have not included wind and wave effects in our simulations, our results are likely applicable only to plastics that are neutrally or slightly positively buoyant and are transported in the upper 2 m of the water column. Wind and waves can have a large influence on local beaching behaviour. However, on a large scale, we do not expect the influence of including either windage or Stokes drift to have such a significant effect as in the SIO. This is because both wind and ocean surface currents in the NIO are driven by the monsoon system. For example, although the timescales on which beaching occurs will likely change by including windage or Stokes drift, the main dynamics of particles moving between the Arabian Sea and the Bay of Bengal depending on the monsoon season should remain the same.</p>
      <p id="d1e1968">Finally, measurements of plastics on coastlines are needed to confirm and improve numerical modelling results. Although multiple studies sampled plastics on beaches throughout the Indian Ocean <xref ref-type="bibr" rid="bib1.bibx44 bib1.bibx49 bib1.bibx33 bib1.bibx53 bib1.bibx3 bib1.bibx25 bib1.bibx13 bib1.bibx38 bib1.bibx4 bib1.bibx26 bib1.bibx22 bib1.bibx28" id="paren.100"/>, the different sampling methods and timescales mean that their results are difficult to compare quantitatively. In addition, standing stock measurements are of limited use because they provide no information about the time period over which plastics may have accumulated on beaches. Ideally, long-term measurements during different conditions and along different types of coastline are needed.</p>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Conclusions</title>
      <p id="d1e1982">The aim of this paper is to determine what happens to plastics that enter the NIO from rivers. Our particle-tracking simulation results show that plastics move back and forth between the Bay of Bengal and the Arabian Sea depending on the monsoon season. During the southwest monsoon season, the Arabian Sea is almost completely depleted of particles as they are transported to the Bay of Bengal by the Southwest Monsoon Current. In contrast, there are relatively high concentrations of particles present in the Bay of Bengal year round. This may be due to the annual mean eastward flow in the equatorial region <xref ref-type="bibr" rid="bib1.bibx48" id="paren.101"/>, as well as anti-cyclonic and cyclonic gyres in the Bay of Bengal <xref ref-type="bibr" rid="bib1.bibx39" id="paren.102"/> trapping plastics.</p>
      <p id="d1e1991">Particles move close to coastlines as they move between the Arabian Sea and the Bay of Bengal. When we allow simulated particles to beach with a high beaching probability (<inline-formula><mml:math id="M90" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.95</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M91" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), all particles beach in the NIO within 3 years, mostly in their country of origin. For low beaching probability (<inline-formula><mml:math id="M92" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M93" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), 86 % of particles beach in the NIO in 10 years. In most countries, beached river plastics originate from multiple different countries for low beaching probability. Countries bordering the Bay of Bengal are heavily affected by beaching particles in our simulations, likely because ocean dynamics concentrate particles in this region. Somalia and the Maldives are also consistently affected by beaching particles, even though they have no or few river sources of plastics of their own. In the case of the Maldives, this is a result of the Southwest Monsoon Current and the Northeast Monsoon Current transporting particles back and forth past the islands twice a year. In the case of Somalia, the North Equatorial Current and the Somalia Current likely transport particles originating from countries in the Bay of Bengal towards the Somalian coast.</p>
      <p id="d1e2042">In simulations with low beaching probability, up to 5 % of particles escape from the NIO into the SIO, where they predominantly beach along eastern African coastlines. Particles mostly pass the Equator along the eastern side of the Indian Ocean basin during the intermonsoon period following the southwest monsoon season (September, October, November). We suggest the following mechanism for their escape from the NIO into the SIO: (1) particles are transported eastwards by equatorial Wyrtki jets, (2) particles are transported southeastwards across the Equator by the South Java Current, (3) particles are transported southwestwards where the South Java Current feeds into the South Equatorial Current, and (4) particles are transported westwards into the subtropical SIO by the South Equatorial Current.</p><?xmltex \hack{\clearpage}?>
</sec>

      
      </body>
    <back><app-group>

<?pagebreak page1328?><app id="App1.Ch1.S1">
  <?xmltex \currentcnt{A}?><label>Appendix A</label><title>Additional figures and tables</title>
      <p id="d1e2057">This details of this appendix are as follows.
<list list-type="order"><list-item>
      <p id="d1e2062">Table <xref ref-type="table" rid="App1.Ch1.S1.T1"/> is an overview of studies that sampled plastics on beaches in the Indian Ocean. This table illustrates that a quantitative comparison between studies is difficult because of different methods and timescales of sampling.</p></list-item><list-item>
      <p id="d1e2068">Figure <xref ref-type="fig" rid="App1.Ch1.S1.F7"/> shows the boundaries of the Northern Hemisphere and Southern Hemisphere Indian Ocean used in analyses discussed in the main article.</p></list-item><list-item>
      <p id="d1e2074">Figure <xref ref-type="fig" rid="App1.Ch1.S1.F8"/> is an example of the method used to move original source locations of plastic waste a suitable distance away from land for release of particles in the particle-tracking simulations.</p></list-item><list-item>
      <p id="d1e2080">Figure <xref ref-type="fig" rid="App1.Ch1.S1.F9"/> shows the Indian Ocean Dipole Mode Index used to determine neutral Indian Ocean Dipole years to run particle-tracking simulations to determine the influence of different monsoon seasons on particle transport.</p></list-item><list-item>
      <p id="d1e2086">Figure <xref ref-type="fig" rid="App1.Ch1.S1.F10"/> shows the distance to the nearest coastline used to determine beaching of particles.</p></list-item><list-item>
      <p id="d1e2092">Figure <xref ref-type="fig" rid="App1.Ch1.S1.F11"/> shows the sensitivity analysis results for beaching at different distances to the coast <inline-formula><mml:math id="M94" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>x</mml:mi></mml:mrow></mml:math></inline-formula>. Results are not very sensitive to different values of <inline-formula><mml:math id="M95" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>x</mml:mi></mml:mrow></mml:math></inline-formula>, so we use <inline-formula><mml:math id="M96" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>x</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula> km for analyses in the main article.</p></list-item><list-item>
      <p id="d1e2132">Table <xref ref-type="table" rid="App1.Ch1.S1.T3"/> lists the  top 15 countries most affected by beaching particles for beaching with different probabilities <inline-formula><mml:math id="M97" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>.</p></list-item></list></p>

<?xmltex \floatpos{p}?><table-wrap id="App1.Ch1.S1.T1" specific-use="star" orientation="landscape"><?xmltex \currentcnt{A1}?><label>Table A1</label><caption><p id="d1e2147">Brief overview of studies that sampled plastics on beaches in the Indian Ocean, including methods and findings. Different studies use many different methods and units, and sampling was done on very different timescales.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.95}[.95]?><oasis:tgroup cols="10">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="2.2cm"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="justify" colwidth="2.5cm"/>
     <oasis:colspec colnum="5" colname="col5" align="justify" colwidth="1.7cm"/>
     <oasis:colspec colnum="6" colname="col6" align="justify" colwidth="1.6cm"/>
     <oasis:colspec colnum="7" colname="col7" align="justify" colwidth="1.8cm"/>
     <oasis:colspec colnum="8" colname="col8" align="left"/>
     <oasis:colspec colnum="9" colname="col9" align="justify" colwidth="2.6cm"/>
     <oasis:colspec colnum="10" colname="col10" align="left"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Location</oasis:entry>
         <oasis:entry colname="col2">Plastic</oasis:entry>
         <oasis:entry colname="col3">Units</oasis:entry>
         <oasis:entry colname="col4">Transect</oasis:entry>
         <oasis:entry colname="col5">Sampling</oasis:entry>
         <oasis:entry colname="col6">Standing</oasis:entry>
         <oasis:entry colname="col7">Size ranges</oasis:entry>
         <oasis:entry colname="col8">Excavation</oasis:entry>
         <oasis:entry colname="col9">Beach</oasis:entry>
         <oasis:entry colname="col10">Reference</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">items</oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">size (m)</oasis:entry>
         <oasis:entry colname="col5">time</oasis:entry>
         <oasis:entry colname="col6">stock or <?xmltex \hack{\hfill\break}?>cleared</oasis:entry>
         <oasis:entry colname="col7"/>
         <oasis:entry colname="col8"/>
         <oasis:entry colname="col9">characteristics</oasis:entry>
         <oasis:entry colname="col10"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Transkei, South <?xmltex \hack{\hfill\break}?>Africa</oasis:entry>
         <oasis:entry colname="col2">1.2–8.1</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M98" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math id="M99" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M100" display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>×</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula>–30</oasis:entry>
         <oasis:entry colname="col5">April <?xmltex \hack{\hfill\break}?>1994–1995 <?xmltex \hack{\hfill\break}?>monthly</oasis:entry>
         <oasis:entry colname="col6">cleared</oasis:entry>
         <oasis:entry colname="col7">–</oasis:entry>
         <oasis:entry colname="col8">raked</oasis:entry>
         <oasis:entry colname="col9">undeveloped</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx33" id="text.103"/><inline-formula><mml:math id="M101" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Prince Edward <?xmltex \hack{\hfill\break}?>Island</oasis:entry>
         <oasis:entry colname="col2">0.19</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M102" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math id="M103" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6">–</oasis:entry>
         <oasis:entry colname="col7">–</oasis:entry>
         <oasis:entry colname="col8">–</oasis:entry>
         <oasis:entry colname="col9">–</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx44" id="text.104"/><inline-formula><mml:math id="M104" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Marion Island</oasis:entry>
         <oasis:entry colname="col2">0.055</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M105" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math id="M106" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6">–</oasis:entry>
         <oasis:entry colname="col7">–</oasis:entry>
         <oasis:entry colname="col8">–</oasis:entry>
         <oasis:entry colname="col9">–</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx44" id="text.105"/><inline-formula><mml:math id="M107" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Heard Island</oasis:entry>
         <oasis:entry colname="col2">0.015</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M108" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math id="M109" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6">–</oasis:entry>
         <oasis:entry colname="col7">–</oasis:entry>
         <oasis:entry colname="col8">–</oasis:entry>
         <oasis:entry colname="col9">–</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx49" id="text.106"/><inline-formula><mml:math id="M110" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Macquarie Island</oasis:entry>
         <oasis:entry colname="col2">0.1</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M111" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math id="M112" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6">–</oasis:entry>
         <oasis:entry colname="col7">–</oasis:entry>
         <oasis:entry colname="col8">–</oasis:entry>
         <oasis:entry colname="col9">–</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx49" id="text.107"/><inline-formula><mml:math id="M113" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Jakarta Bay, <?xmltex \hack{\hfill\break}?>Indonesia</oasis:entry>
         <oasis:entry colname="col2">90</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M114" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math id="M115" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6">–</oasis:entry>
         <oasis:entry colname="col7">–</oasis:entry>
         <oasis:entry colname="col8">–</oasis:entry>
         <oasis:entry colname="col9">–</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx53" id="text.108"/><inline-formula><mml:math id="M116" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Negombo, <?xmltex \hack{\hfill\break}?>Sri Lanka</oasis:entry>
         <oasis:entry colname="col2">1.55</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M117" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math id="M118" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">200</oasis:entry>
         <oasis:entry colname="col5">1996–2002 <?xmltex \hack{\hfill\break}?>yearly</oasis:entry>
         <oasis:entry colname="col6">cleared</oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M119" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> cm<inline-formula><mml:math id="M120" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8">part buried</oasis:entry>
         <oasis:entry colname="col9">windward <?xmltex \hack{\hfill\break}?>low to no population</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx3" id="text.109"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Ari Atoll, <?xmltex \hack{\hfill\break}?>Maldives</oasis:entry>
         <oasis:entry colname="col2">1.12</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M121" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math id="M122" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">200</oasis:entry>
         <oasis:entry colname="col5">1996–2002 <?xmltex \hack{\hfill\break}?>yearly</oasis:entry>
         <oasis:entry colname="col6">cleared</oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M123" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M124" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8">part buried</oasis:entry>
         <oasis:entry colname="col9">windward <?xmltex \hack{\hfill\break}?>low to no population</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx3" id="text.110"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Pemba Island, <?xmltex \hack{\hfill\break}?>Tanzania</oasis:entry>
         <oasis:entry colname="col2">1.89</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M125" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math id="M126" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">200</oasis:entry>
         <oasis:entry colname="col5">1996–2002 <?xmltex \hack{\hfill\break}?>yearly</oasis:entry>
         <oasis:entry colname="col6">cleared</oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M127" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 1 <inline-formula><mml:math id="M128" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8">part buried</oasis:entry>
         <oasis:entry colname="col9">windward <?xmltex \hack{\hfill\break}?>low to no population</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx3" id="text.111"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Diego Garcia</oasis:entry>
         <oasis:entry colname="col2">0.89</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M129" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math id="M130" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">200</oasis:entry>
         <oasis:entry colname="col5">1996–2002 <?xmltex \hack{\hfill\break}?>yearly</oasis:entry>
         <oasis:entry colname="col6">cleared</oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M131" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 1 <inline-formula><mml:math id="M132" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8">part buried</oasis:entry>
         <oasis:entry colname="col9">windward <?xmltex \hack{\hfill\break}?>low to no population</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx3" id="text.112"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Christmas Island</oasis:entry>
         <oasis:entry colname="col2">21</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M133" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math id="M134" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">200</oasis:entry>
         <oasis:entry colname="col5">1996–2002 <?xmltex \hack{\hfill\break}?>yearly</oasis:entry>
         <oasis:entry colname="col6">cleared</oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M135" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 1 <inline-formula><mml:math id="M136" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8">part buried</oasis:entry>
         <oasis:entry colname="col9">windward <?xmltex \hack{\hfill\break}?>low to no population</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx3" id="text.113"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Cocos (Keeling) <?xmltex \hack{\hfill\break}?>Islands</oasis:entry>
         <oasis:entry colname="col2">6.01</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M137" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math id="M138" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">200</oasis:entry>
         <oasis:entry colname="col5">1996–2002 <?xmltex \hack{\hfill\break}?>yearly</oasis:entry>
         <oasis:entry colname="col6">cleared</oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M139" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 1 <inline-formula><mml:math id="M140" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8">part buried</oasis:entry>
         <oasis:entry colname="col9">windward <?xmltex \hack{\hfill\break}?>low to no population</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx3" id="text.114"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Quirimba Island, <?xmltex \hack{\hfill\break}?>Mozambique</oasis:entry>
         <oasis:entry colname="col2">1.34</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M141" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math id="M142" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">200</oasis:entry>
         <oasis:entry colname="col5">1996–2002 <?xmltex \hack{\hfill\break}?>yearly</oasis:entry>
         <oasis:entry colname="col6">cleared</oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M143" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 1 <inline-formula><mml:math id="M144" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8">part buried</oasis:entry>
         <oasis:entry colname="col9">windward <?xmltex \hack{\hfill\break}?>low to no population</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx3" id="text.115"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Rodrigues Island</oasis:entry>
         <oasis:entry colname="col2">4.41</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M145" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math id="M146" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">200</oasis:entry>
         <oasis:entry colname="col5">1996-2002 <?xmltex \hack{\hfill\break}?>yearly</oasis:entry>
         <oasis:entry colname="col6">cleared</oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M147" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 1 <inline-formula><mml:math id="M148" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8">part buried</oasis:entry>
         <oasis:entry colname="col9">windward <?xmltex \hack{\hfill\break}?>low to no population</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx3" id="text.116"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Nosy Ve, <?xmltex \hack{\hfill\break}?>Madagascar</oasis:entry>
         <oasis:entry colname="col2">0.60</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M149" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math id="M150" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">200</oasis:entry>
         <oasis:entry colname="col5">1996–2002 <?xmltex \hack{\hfill\break}?>yearly</oasis:entry>
         <oasis:entry colname="col6">cleared</oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M151" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 1 <inline-formula><mml:math id="M152" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8">part buried</oasis:entry>
         <oasis:entry colname="col9">windward <?xmltex \hack{\hfill\break}?>low to no population</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx3" id="text.117"/></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Inhaca Island, <?xmltex \hack{\hfill\break}?>Mozambique</oasis:entry>
         <oasis:entry colname="col2">0.60</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M153" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math id="M154" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">200</oasis:entry>
         <oasis:entry colname="col5">1996–2002 <?xmltex \hack{\hfill\break}?>yearly</oasis:entry>
         <oasis:entry colname="col6">cleared</oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M155" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 1 <inline-formula><mml:math id="M156" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8">part buried</oasis:entry>
         <oasis:entry colname="col9">windward <?xmltex \hack{\hfill\break}?>low to no population</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx3" id="text.118"/></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

<?xmltex \floatpos{p}?><table-wrap id="App1.Ch1.S1.T2" specific-use="star" orientation="landscape"><?xmltex \currentcnt{A1}?><label>Table A1</label><caption><p id="d1e3468">Continued.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.95}[.95]?><oasis:tgroup cols="10">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="2.2cm"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="justify" colwidth="1.3cm"/>
     <oasis:colspec colnum="5" colname="col5" align="justify" colwidth="2cm"/>
     <oasis:colspec colnum="6" colname="col6" align="justify" colwidth="1.6cm"/>
     <oasis:colspec colnum="7" colname="col7" align="justify" colwidth="1.8cm"/>
     <oasis:colspec colnum="8" colname="col8" align="left"/>
     <oasis:colspec colnum="9" colname="col9" align="justify" colwidth="2.6cm"/>
     <oasis:colspec colnum="10" colname="col10" align="left"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Location</oasis:entry>
         <oasis:entry colname="col2">Plastic</oasis:entry>
         <oasis:entry colname="col3">Units</oasis:entry>
         <oasis:entry colname="col4">Transect</oasis:entry>
         <oasis:entry colname="col5">Sampling</oasis:entry>
         <oasis:entry colname="col6">Standing</oasis:entry>
         <oasis:entry colname="col7">Size ranges</oasis:entry>
         <oasis:entry colname="col8">Excavation</oasis:entry>
         <oasis:entry colname="col9">Beach</oasis:entry>
         <oasis:entry colname="col10">Reference</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">items</oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">size (m)</oasis:entry>
         <oasis:entry colname="col5">time</oasis:entry>
         <oasis:entry colname="col6">stock or <?xmltex \hack{\hfill\break}?>cleared</oasis:entry>
         <oasis:entry colname="col7"/>
         <oasis:entry colname="col8"/>
         <oasis:entry colname="col9">characteristics</oasis:entry>
         <oasis:entry colname="col10"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Mumbai, India</oasis:entry>
         <oasis:entry colname="col2">68.8</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M158" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> per week</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M159" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.5</mml:mn><mml:mo>×</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">May 2011– <?xmltex \hack{\hfill\break}?>March 2012 <?xmltex \hack{\hfill\break}?>bimonthly</oasis:entry>
         <oasis:entry colname="col6">–</oasis:entry>
         <oasis:entry colname="col7">1–5 mm <?xmltex \hack{\hfill\break}?>5–20 mm <?xmltex \hack{\hfill\break}?>21–100 mm <?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M160" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 100 mm</oasis:entry>
         <oasis:entry colname="col8">top 2 cm</oasis:entry>
         <oasis:entry colname="col9">highly populated</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx25" id="text.120"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Alphonse Atoll, <?xmltex \hack{\hfill\break}?>Seychelles</oasis:entry>
         <oasis:entry colname="col2">4.7</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M161" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> per week</oasis:entry>
         <oasis:entry colname="col4">500</oasis:entry>
         <oasis:entry colname="col5">21 June– <?xmltex \hack{\hfill\break}?>2 August 2013 <?xmltex \hack{\hfill\break}?>weekly</oasis:entry>
         <oasis:entry colname="col6">cleared</oasis:entry>
         <oasis:entry colname="col7">–</oasis:entry>
         <oasis:entry colname="col8">–</oasis:entry>
         <oasis:entry colname="col9">windward <?xmltex \hack{\hfill\break}?>low to no population</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx13" id="text.121"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Southeast coast of <?xmltex \hack{\hfill\break}?>South Africa</oasis:entry>
         <oasis:entry colname="col2">689–3308</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M162" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6">–</oasis:entry>
         <oasis:entry colname="col7">80 <inline-formula><mml:math id="M163" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m–5 mm</oasis:entry>
         <oasis:entry colname="col8">top 5 cm</oasis:entry>
         <oasis:entry colname="col9">12 beaches in bays <?xmltex \hack{\hfill\break}?>and 9 beaches on <?xmltex \hack{\hfill\break}?>open coast</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx38" id="text.122"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">St. Brandon's <?xmltex \hack{\hfill\break}?>Rock, Mauritius</oasis:entry>
         <oasis:entry colname="col2">0.76</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M164" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">varying</oasis:entry>
         <oasis:entry colname="col5">October 2010 <?xmltex \hack{\hfill\break}?>and 2014</oasis:entry>
         <oasis:entry colname="col6">standing (?)</oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M165" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 5 mm</oasis:entry>
         <oasis:entry colname="col8">–</oasis:entry>
         <oasis:entry colname="col9">low to no population</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx4" id="text.123"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Chennai, India</oasis:entry>
         <oasis:entry colname="col2">1.37</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M166" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> per 2 weeks</oasis:entry>
         <oasis:entry colname="col4">100</oasis:entry>
         <oasis:entry colname="col5">March and <?xmltex \hack{\hfill\break}?>April 2015 <?xmltex \hack{\hfill\break}?>bimonthly</oasis:entry>
         <oasis:entry colname="col6">cleared</oasis:entry>
         <oasis:entry colname="col7">–</oasis:entry>
         <oasis:entry colname="col8">part buried</oasis:entry>
         <oasis:entry colname="col9">highly populated</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx26" id="text.124"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Vavvaru Island, <?xmltex \hack{\hfill\break}?>Maldives</oasis:entry>
         <oasis:entry colname="col2">35.8</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M167" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">#</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">d</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M168" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>×</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">21–27 June <?xmltex \hack{\hfill\break}?>2015 <?xmltex \hack{\hfill\break}?>daily</oasis:entry>
         <oasis:entry colname="col6">cleared and <?xmltex \hack{\hfill\break}?>standing</oasis:entry>
         <oasis:entry colname="col7">1–5 mm <?xmltex \hack{\hfill\break}?>5–25 mm <?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M169" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 25 mm</oasis:entry>
         <oasis:entry colname="col8">top 1 cm</oasis:entry>
         <oasis:entry colname="col9">low to no population <?xmltex \hack{\hfill\break}?>on open coast</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx22" id="text.125"/></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Cocos (Keeling) <?xmltex \hack{\hfill\break}?>Islands</oasis:entry>
         <oasis:entry colname="col2">4.72–2506</oasis:entry>
         <oasis:entry colname="col3"># m<inline-formula><mml:math id="M170" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M171" display="inline"><mml:mrow><mml:mn mathvariant="normal">30</mml:mn><mml:mo>×</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">13–24 March <?xmltex \hack{\hfill\break}?>2017 <?xmltex \hack{\hfill\break}?>21 September <?xmltex \hack{\hfill\break}?>2017 <?xmltex \hack{\hfill\break}?>single sampling</oasis:entry>
         <oasis:entry colname="col6">standing</oasis:entry>
         <oasis:entry colname="col7">–</oasis:entry>
         <oasis:entry colname="col8">top 10 cm</oasis:entry>
         <oasis:entry colname="col9">low to no population</oasis:entry>
         <oasis:entry colname="col10"><xref ref-type="bibr" rid="bib1.bibx28" id="text.126"/></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table><table-wrap-foot><p id="d1e3471"><inline-formula><mml:math id="M157" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula> Contained in <xref ref-type="bibr" rid="bib1.bibx3" id="text.119"/>.</p></table-wrap-foot></table-wrap>

<?xmltex \hack{\clearpage}?><?xmltex \floatpos{h!}?><fig id="App1.Ch1.S1.F7"><?xmltex \currentcnt{A1}?><label>Figure A1</label><caption><p id="d1e4040">Definition of the Northern Hemisphere Indian Ocean (NIO) and Southern Hemisphere Indian Ocean (SIO). We use these definitions to select release locations of particles from the NIO only and to determine the fate of particles during the simulation (e.g. beached or floating in the NIO or SIO).</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://os.copernicus.org/articles/16/1317/2020/os-16-1317-2020-f07.png"/>

      </fig>

      <?xmltex \floatpos{h!}?><fig id="App1.Ch1.S1.F8"><?xmltex \currentcnt{A2}?><label>Figure A2</label><caption><p id="d1e4051">Example of original river source locations estimated by <xref ref-type="bibr" rid="bib1.bibx31" id="text.127"/> and moved release locations in relation to the HYCOM land mask around Sri Lanka. Release locations are shifted compared to original source locations where necessary to prevent particles from being released on or too close to land in particle-tracking simulations.</p></caption>
        <?xmltex \igopts{width=170.716535pt}?><graphic xlink:href="https://os.copernicus.org/articles/16/1317/2020/os-16-1317-2020-f08.png"/>

      </fig>

      <?xmltex \floatpos{h!}?><fig id="App1.Ch1.S1.F9"><?xmltex \currentcnt{A3}?><label>Figure A3</label><caption><p id="d1e4065">Indian Ocean Dipole Mode Index (DMI) as defined by <xref ref-type="bibr" rid="bib1.bibx46" id="text.128"/> and obtained from the National Oceanic and Atmospheric Administration. Red and blue shading indicate positive and negative modes of the Indian Ocean Dipole (IOD), respectively. We use 2008 and 2009 (marked between thick vertical black lines) as neutral IOD years to simulate the influence of monsoon seasons on the transport of plastics in the Indian Ocean.</p></caption>
        <?xmltex \hack{\hsize\textwidth}?>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://os.copernicus.org/articles/16/1317/2020/os-16-1317-2020-f09.png"/>

      </fig>

      <?xmltex \floatpos{h!}?><fig id="App1.Ch1.S1.F10"><?xmltex \currentcnt{A4}?><label>Figure A4</label><caption><p id="d1e4081">Distance to the nearest coastline based on GSHHG-v2.3.7 data <xref ref-type="bibr" rid="bib1.bibx62" id="paren.129"/>. We use this distance to determine beaching conditions for simulated particles.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://os.copernicus.org/articles/16/1317/2020/os-16-1317-2020-f10.png"/>

      </fig>

<?xmltex \floatpos{p}?><table-wrap id="App1.Ch1.S1.T3" orientation="landscape"><?xmltex \currentcnt{A2}?><label>Table A2</label><caption><p id="d1e4097">Top 15 most affected countries by beaching plastics released from the Northern Hemisphere Indian Ocean from river sources. Results are shown for different beaching probabilities <inline-formula><mml:math id="M172" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.96}[.96]?><oasis:tgroup cols="10">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right" colsep="1"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="right" colsep="1"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:colspec colnum="6" colname="col6" align="right" colsep="1"/>
     <oasis:colspec colnum="7" colname="col7" align="left"/>
     <oasis:colspec colnum="8" colname="col8" align="right" colsep="1"/>
     <oasis:colspec colnum="9" colname="col9" align="left"/>
     <oasis:colspec colnum="10" colname="col10" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col2" align="center" colsep="1"><inline-formula><mml:math id="M173" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.950</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M174" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry namest="col3" nameend="col4" align="center" colsep="1"><inline-formula><mml:math id="M175" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.725</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M176" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry namest="col5" nameend="col6" align="center" colsep="1"><inline-formula><mml:math id="M177" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.500</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M178" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry namest="col7" nameend="col8" align="center" colsep="1"><inline-formula><mml:math id="M179" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.225</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M180" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry namest="col9" nameend="col10" align="center"><inline-formula><mml:math id="M181" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.050</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M182" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Country</oasis:entry>
         <oasis:entry colname="col2">Beached particles</oasis:entry>
         <oasis:entry colname="col3">Country</oasis:entry>
         <oasis:entry colname="col4">Beached particles</oasis:entry>
         <oasis:entry colname="col5">Country</oasis:entry>
         <oasis:entry colname="col6">Beached particles</oasis:entry>
         <oasis:entry colname="col7">Country</oasis:entry>
         <oasis:entry colname="col8">Beached particles</oasis:entry>
         <oasis:entry colname="col9">Country</oasis:entry>
         <oasis:entry colname="col10">Beached particles</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">(% of total)</oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">(% of total)</oasis:entry>
         <oasis:entry colname="col5"/>
         <oasis:entry colname="col6">(% of total)</oasis:entry>
         <oasis:entry colname="col7"/>
         <oasis:entry colname="col8">(% of total)</oasis:entry>
         <oasis:entry colname="col9"/>
         <oasis:entry colname="col10">(% of total)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Bangladesh</oasis:entry>
         <oasis:entry colname="col2">60</oasis:entry>
         <oasis:entry colname="col3">Bangladesh</oasis:entry>
         <oasis:entry colname="col4">60</oasis:entry>
         <oasis:entry colname="col5">Bangladesh</oasis:entry>
         <oasis:entry colname="col6">60</oasis:entry>
         <oasis:entry colname="col7">Bangladesh</oasis:entry>
         <oasis:entry colname="col8">56</oasis:entry>
         <oasis:entry colname="col9">Myanmar</oasis:entry>
         <oasis:entry colname="col10">30</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Myanmar</oasis:entry>
         <oasis:entry colname="col2">13</oasis:entry>
         <oasis:entry colname="col3">Myanmar</oasis:entry>
         <oasis:entry colname="col4">14</oasis:entry>
         <oasis:entry colname="col5">Myanmar</oasis:entry>
         <oasis:entry colname="col6">14</oasis:entry>
         <oasis:entry colname="col7">Myanmar</oasis:entry>
         <oasis:entry colname="col8">15</oasis:entry>
         <oasis:entry colname="col9">Bangladesh</oasis:entry>
         <oasis:entry colname="col10">29</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">India</oasis:entry>
         <oasis:entry colname="col2">9.8</oasis:entry>
         <oasis:entry colname="col3">India</oasis:entry>
         <oasis:entry colname="col4">10</oasis:entry>
         <oasis:entry colname="col5">India</oasis:entry>
         <oasis:entry colname="col6">10</oasis:entry>
         <oasis:entry colname="col7">India</oasis:entry>
         <oasis:entry colname="col8">12</oasis:entry>
         <oasis:entry colname="col9">India</oasis:entry>
         <oasis:entry colname="col10">18</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Malaysia</oasis:entry>
         <oasis:entry colname="col2">6.1</oasis:entry>
         <oasis:entry colname="col3">Malaysia</oasis:entry>
         <oasis:entry colname="col4">6.0</oasis:entry>
         <oasis:entry colname="col5">Malaysia</oasis:entry>
         <oasis:entry colname="col6">5.7</oasis:entry>
         <oasis:entry colname="col7">Malaysia</oasis:entry>
         <oasis:entry colname="col8">5.3</oasis:entry>
         <oasis:entry colname="col9">Indonesia</oasis:entry>
         <oasis:entry colname="col10">8.1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Indonesia</oasis:entry>
         <oasis:entry colname="col2">4.6</oasis:entry>
         <oasis:entry colname="col3">Indonesia</oasis:entry>
         <oasis:entry colname="col4">4.6</oasis:entry>
         <oasis:entry colname="col5">Indonesia</oasis:entry>
         <oasis:entry colname="col6">4.8</oasis:entry>
         <oasis:entry colname="col7">Indonesia</oasis:entry>
         <oasis:entry colname="col8">5.2</oasis:entry>
         <oasis:entry colname="col9">Thailand</oasis:entry>
         <oasis:entry colname="col10">3.4</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Sri Lanka</oasis:entry>
         <oasis:entry colname="col2">1.2</oasis:entry>
         <oasis:entry colname="col3">Sri Lanka</oasis:entry>
         <oasis:entry colname="col4">1.3</oasis:entry>
         <oasis:entry colname="col5">Thailand</oasis:entry>
         <oasis:entry colname="col6">1.4</oasis:entry>
         <oasis:entry colname="col7">Thailand</oasis:entry>
         <oasis:entry colname="col8">2.1</oasis:entry>
         <oasis:entry colname="col9">Malaysia</oasis:entry>
         <oasis:entry colname="col10">3.0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Pakistan</oasis:entry>
         <oasis:entry colname="col2">1.2</oasis:entry>
         <oasis:entry colname="col3">Pakistan</oasis:entry>
         <oasis:entry colname="col4">1.2</oasis:entry>
         <oasis:entry colname="col5">Sri Lanka</oasis:entry>
         <oasis:entry colname="col6">1.4</oasis:entry>
         <oasis:entry colname="col7">Sri Lanka</oasis:entry>
         <oasis:entry colname="col8">1.5</oasis:entry>
         <oasis:entry colname="col9">Sri Lanka</oasis:entry>
         <oasis:entry colname="col10">2.2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Thailand</oasis:entry>
         <oasis:entry colname="col2">0.98</oasis:entry>
         <oasis:entry colname="col3">Thailand</oasis:entry>
         <oasis:entry colname="col4">1.1</oasis:entry>
         <oasis:entry colname="col5">Pakistan</oasis:entry>
         <oasis:entry colname="col6">1.1</oasis:entry>
         <oasis:entry colname="col7">Pakistan</oasis:entry>
         <oasis:entry colname="col8">0.91</oasis:entry>
         <oasis:entry colname="col9">Madagascar</oasis:entry>
         <oasis:entry colname="col10">0.36</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Maldives</oasis:entry>
         <oasis:entry colname="col2">0.19</oasis:entry>
         <oasis:entry colname="col3">Maldives</oasis:entry>
         <oasis:entry colname="col4">0.19</oasis:entry>
         <oasis:entry colname="col5">Maldives</oasis:entry>
         <oasis:entry colname="col6">0.19</oasis:entry>
         <oasis:entry colname="col7">Maldives</oasis:entry>
         <oasis:entry colname="col8">0.18</oasis:entry>
         <oasis:entry colname="col9">Pakistan</oasis:entry>
         <oasis:entry colname="col10">0.34</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Kuwait</oasis:entry>
         <oasis:entry colname="col2">0.14</oasis:entry>
         <oasis:entry colname="col3">Kuwait</oasis:entry>
         <oasis:entry colname="col4">0.14</oasis:entry>
         <oasis:entry colname="col5">Kuwait</oasis:entry>
         <oasis:entry colname="col6">0.13</oasis:entry>
         <oasis:entry colname="col7">Kuwait</oasis:entry>
         <oasis:entry colname="col8">0.12</oasis:entry>
         <oasis:entry colname="col9">Somalia</oasis:entry>
         <oasis:entry colname="col10">0.30</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Iran</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M183" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>
         <oasis:entry colname="col3">Iran</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M184" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>
         <oasis:entry colname="col5">Iran</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M185" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>
         <oasis:entry colname="col7">Iran</oasis:entry>
         <oasis:entry colname="col8">0.10</oasis:entry>
         <oasis:entry colname="col9">Mozambique</oasis:entry>
         <oasis:entry colname="col10">0.25</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Somalia</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M186" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>
         <oasis:entry colname="col3">Somalia</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M187" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>
         <oasis:entry colname="col5">Somalia</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M188" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>
         <oasis:entry colname="col7">Somalia</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M189" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>
         <oasis:entry colname="col9">Maldives</oasis:entry>
         <oasis:entry colname="col10">0.19</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Saudi Arabia</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M190" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>
         <oasis:entry colname="col3">Saudi Arabia</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M191" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>
         <oasis:entry colname="col5">Saudi Arabia</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M192" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>
         <oasis:entry colname="col7">Saudi Arabia</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M193" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>
         <oasis:entry colname="col9">Kenya</oasis:entry>
         <oasis:entry colname="col10">0.18</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Yemen</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M194" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>
         <oasis:entry colname="col3">Yemen</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M195" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>
         <oasis:entry colname="col5">Madagascar</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M196" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>
         <oasis:entry colname="col7">Madagascar</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M197" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>
         <oasis:entry colname="col9">Iran</oasis:entry>
         <oasis:entry colname="col10">0.16</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Kenya</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M198" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>
         <oasis:entry colname="col3">Kenya</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M199" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>
         <oasis:entry colname="col5">Oman</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M200" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>
         <oasis:entry colname="col7">Mozambique</oasis:entry>
         <oasis:entry colname="col8"><inline-formula><mml:math id="M201" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>
         <oasis:entry colname="col9">Tanzania</oasis:entry>
         <oasis:entry colname="col10">0.14</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

<?xmltex \hack{\clearpage}?><?xmltex \floatpos{h!}?><fig id="App1.Ch1.S1.F11"><?xmltex \currentcnt{A5}?><label>Figure A5</label><caption><p id="d1e4960">Sensitivity analysis results where beaching occurs with a probability <inline-formula><mml:math id="M202" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.50</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M203" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> for particles within a distance <inline-formula><mml:math id="M204" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>x</mml:mi><mml:mo>=</mml:mo><mml:mo>[</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mo>,</mml:mo><mml:mn mathvariant="normal">4</mml:mn><mml:mo>,</mml:mo><mml:mn mathvariant="normal">8</mml:mn><mml:mo>,</mml:mo><mml:mn mathvariant="normal">16</mml:mn><mml:mo>,</mml:mo><mml:mn mathvariant="normal">32</mml:mn><mml:mo>]</mml:mo></mml:mrow></mml:math></inline-formula> km to the nearest coastline that are moving towards the coast. Results are not very sensitive to different values for <inline-formula><mml:math id="M205" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>x</mml:mi></mml:mrow></mml:math></inline-formula>, and we use <inline-formula><mml:math id="M206" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>x</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula> km as the default value in further simulations.</p></caption>
        <?xmltex \hack{\hsize\textwidth}?>
        <?xmltex \igopts{width=312.980315pt}?><graphic xlink:href="https://os.copernicus.org/articles/16/1317/2020/os-16-1317-2020-f11.png"/>

      </fig>

<?xmltex \hack{\clearpage}?>
</app>
  </app-group><notes notes-type="codedataavailability"><title>Code and data availability</title>

      <p id="d1e5060">Ocean surface currents from the HYCOM+NCODA Global <inline-formula><mml:math id="M207" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M208" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> Reanalysis dataset are available from <uri>https://www.hycom.org/data/glbv0pt08/expt-53ptx</uri> <xref ref-type="bibr" rid="bib1.bibx21" id="paren.130"/>. Distances to the nearest coastline based on the GSHHS dataset are available from <uri>https://www.soest.hawaii.edu/pwessel/gshhg/</uri> <xref ref-type="bibr" rid="bib1.bibx61" id="paren.131"/>. We obtained values of the Indian Ocean Dipole Mode Index from <uri>http://stateoftheocean.osmc.noaa.gov/sur/ind/dmi.php</uri> <xref ref-type="bibr" rid="bib1.bibx52" id="paren.132"/>. Our code to run particle-tracking simulations with OceanParcels and to apply beaching conditions is available under an MIT license: <uri>https://www.github.com/mheen/io_beaching</uri> (<ext-link xlink:href="https://doi.org/10.5281/zenodo.4138759" ext-link-type="DOI">10.5281/zenodo.4138759</ext-link>, <xref ref-type="bibr" rid="bib1.bibx54" id="altparen.133"/>).</p>
  </notes><notes notes-type="videosupplement"><title>Video supplement</title>

      <p id="d1e5114">Animations of 10-year particle-tracking simulation results of particles entering the Indian Ocean from river plastic sources are available with beaching occurring at a distance <inline-formula><mml:math id="M209" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>x</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">8</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:mrow></mml:math></inline-formula> to the nearest coastline with a probability of <inline-formula><mml:math id="M210" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M211" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (<ext-link xlink:href="https://doi.org/10.5446/47056" ext-link-type="DOI">10.5446/47056</ext-link>, <xref ref-type="bibr" rid="bib1.bibx56" id="altparen.134"/>), <inline-formula><mml:math id="M212" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.50</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M213" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (<ext-link xlink:href="https://doi.org/10.5446/47057" ext-link-type="DOI">10.5446/47057</ext-link>, <xref ref-type="bibr" rid="bib1.bibx57" id="altparen.135"/>), and <inline-formula><mml:math id="M214" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.95</mml:mn></mml:mrow></mml:math></inline-formula> (5 d)<inline-formula><mml:math id="M215" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (<ext-link xlink:href="https://doi.org/10.5446/47058" ext-link-type="DOI">10.5446/47058</ext-link>, <xref ref-type="bibr" rid="bib1.bibx58" id="altparen.136"/>).</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e5230">MvdM performed the research and prepared the manuscript. EvS and CP jointly supervised the work. All authors reviewed the manuscript.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e5236">The authors declare that they have no conflict of interest.</p>
  </notes><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e5242">This research has been supported by the Australian Government (Research Training Program (RTP) Scholarship), the University of Western Australia (CFH &amp; EA Jenkins Postgraduate Research Scholarship and Ad Hoc Scholarship), and the H2020 European Research Council (TOPIOS grant no. 715386).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e5248">This paper was edited by Anna Rubio and reviewed by two anonymous referees.</p>
  </notes><ref-list>
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<abstract-html><p>A large percentage of global ocean plastic waste enters the Northern Hemisphere Indian Ocean (NIO). Despite this, it is unclear what happens to buoyant plastics in the NIO. Because the subtropics in the NIO are blocked by landmass, there is no subtropical gyre and no associated subtropical garbage patch in this region. We therefore hypothesize that plastics <q>beach</q> and end up on coastlines along the Indian Ocean rim. In this paper, we determine the influence of beaching plastics by applying different beaching conditions to Lagrangian particle-tracking simulation results. Our results show that a large amount of plastic likely ends up on coastlines in the NIO, while some crosses the Equator into the Southern Hemisphere Indian Ocean (SIO). In the NIO, the transport of plastics is dominated by seasonally reversing monsoonal currents, which transport plastics back and forth between the Arabian Sea and the Bay of Bengal. All buoyant plastic material in this region beaches within a few years in our simulations. Countries bordering the Bay of Bengal are particularly heavily affected by plastics beaching on coastlines. This is a result of both the large sources of plastic waste in the region and the ocean dynamics that concentrate plastics in the Bay of Bengal. During the intermonsoon period following the southwest monsoon season (September, October, November), plastics can cross the Equator on the eastern side of the NIO basin into the SIO. Plastics that escape from the NIO into the SIO beach on eastern African coastlines and islands in the SIO or enter the subtropical SIO garbage patch.</p></abstract-html>
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