Articles | Volume 21, issue 1
https://doi.org/10.5194/os-21-381-2025
https://doi.org/10.5194/os-21-381-2025
Research article
 | 
11 Feb 2025
Research article |  | 11 Feb 2025

Investigation of the impact of complex coastline geometry on the evolution of storm surges along the eastern coast of India: a sensitivity study using a numerical model

Pawan Tiwari, Ambarukhana D. Rao, Smita Pandey, and Vimlesh Pant

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Cited articles

Cyriac, R., Dietrich, J. C., Fleming, J. G., Blanton, B. O., Kaiser, C., Dawson, C. N., and Luettich, R. A.: Variability in Coastal Flooding predictions due to forecast errors during Hurricane Arthur, Coast. Eng., 137, 59–78, 2018. 
Das, P. K.: Prediction model for storm surges in the Bay of Bengal, Nature, 239, 211–213, 1972. 
Dasallas, L. and Lee, S.: Topographical Analysis of the 2013 Typhoon Haiyan Storm Surge Flooding by Combining the JMA Storm Surge Model and the FLO-2D Flood Inundation Model, Water, 11, 144, https://doi.org/10.3390/w11010144, 2019. 
Dube, S. K., Sinha, P. C., and Rao, A. D.: The effect of coastal geometry on the location of peak surge, Mausam, 33, 445–450, 1982. 
Dube, S. K., Rao, A. D., Sinha, P. C., and Chittibabu, P.: A real-time storm surge prediction system: an application to the east coast of India, Proc. Indian Nat. Sci. Acad. Pt. A, 60, 157–157, 1994. 
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Short summary
Concave coasts act as funnels, concentrating storm waters and leading to higher storm surges (SSs); convex coasts redistribute waters, reducing surges. We use the ADCIRC model to simulate peak surges (PSs) for different cyclone tracks, showing how coastline geometry, landfall location, and cyclone angle influence PSs. Cyclones passing near concave coasts without landfall can still cause high SSs, highlighting vulnerability in these regions. This insight aids in assessing coastal flood risks.
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