Articles | Volume 18, issue 6
https://doi.org/10.5194/os-18-1691-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-18-1691-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Nov 2022
Research article |
| 24 Nov 2022
| 24 Nov 2022
Quantifying the impacts of the Three Gorges Dam on the spatial–temporal water level dynamics in the upper Yangtze River estuary
Huayang Cai
Institute of Estuarine and Coastal Research/State and Local Joint Engineering Laboratory of Estuarine Hydraulic Technology, School of Ocean Engineering and Technology, Sun Yat-sen University, Guangzhou, 510275, China
Guangdong Provincial Engineering Research Center of Coasts, Islands and Reefs/Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
Hao Yang
Institute of Estuarine and Coastal Research/State and Local Joint Engineering Laboratory of Estuarine Hydraulic Technology, School of Ocean Engineering and Technology, Sun Yat-sen University, Guangzhou, 510275, China
Guangdong Provincial Engineering Research Center of Coasts, Islands and Reefs/Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
Pascal Matte
Meteorological Research Division, Environment and Climate Change Canada, Quebec, QC G1J 0C3, Canada
Haidong Pan
First Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao, 266061, China
School of Marine Sciences, Sun Yat-sen University, Zhuhai, 519082, China
Tongtiegang Zhao
School of Civil Engineering, Sun Yat-sen University, Zhuhai, 519082, China
Shandong Provincial Key Laboratory of Computer Networks, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353, China
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Tongtiegang Zhao, Wei Zhang, Yongyong Zhang, Zhiyong Liu, and Xiaohong Chen
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Short summary
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Huayang Cai, Xianyi Zhang, Min Zhang, Leicheng Guo, Feng Liu, and Qingshu Yang
Ocean Sci., 15, 583–599, https://doi.org/10.5194/os-15-583-2019, https://doi.org/10.5194/os-15-583-2019, 2019
Short summary
Short summary
In this study, we assessed the impacts of the world’s largest dam, the Three Gorges Dam (TGD), on tide–river dynamics and concluded that the strongest impacts occurred during autumn and winter due to the TGD's operation. The results obtained will hopefully enhance our understanding of the impacts of large-scale human interventions on estuarine hydrodynamics and guide effective and sustainable water management in the Yangtze River estuary and other estuaries with substantial freshwater discharge.
Huayang Cai, Marco Toffolon, Hubert H. G. Savenije, Qingshu Yang, and Erwan Garel
Ocean Sci., 14, 769–782, https://doi.org/10.5194/os-14-769-2018, https://doi.org/10.5194/os-14-769-2018, 2018
Andrew Schepen, Tongtiegang Zhao, Quan J. Wang, and David E. Robertson
Hydrol. Earth Syst. Sci., 22, 1615–1628, https://doi.org/10.5194/hess-22-1615-2018, https://doi.org/10.5194/hess-22-1615-2018, 2018
Short summary
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Rainfall forecasts from dynamical global climate models (GCMs) require post-processing before use in hydrological models. Existing methods generally lack the sophistication to achieve calibrated forecasts of both daily amounts and seasonal accumulated totals. We develop a new statistical method to post-process Australian GCM rainfall forecasts for 12 perennial and ephemeral catchments. Our method produces reliable forecasts and outperforms the most commonly used statistical method.
Andrew Schepen, Tongtiegang Zhao, Q. J. Wang, Senlin Zhou, and Paul Feikema
Hydrol. Earth Syst. Sci., 20, 4117–4128, https://doi.org/10.5194/hess-20-4117-2016, https://doi.org/10.5194/hess-20-4117-2016, 2016
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Short summary
Australian seasonal streamflow forecasts are issued by the Bureau of Meteorology with up to two weeks' delay. Timelier forecast release will enhance forecast value and enable sub-seasonal forecasting. The bureau's forecasting approach is modified to allow timelier forecast release, and changes in reliability and skill are quantified. The results are combined with insights into the forecast production process to recommend a more flexible forecasting system to better meet the needs of users.
H. Cai, H. H. G. Savenije, and C. Jiang
Hydrol. Earth Syst. Sci., 18, 4153–4168, https://doi.org/10.5194/hess-18-4153-2014, https://doi.org/10.5194/hess-18-4153-2014, 2014
H. Cai, H. H. G. Savenije, and M. Toffolon
Hydrol. Earth Syst. Sci., 18, 287–304, https://doi.org/10.5194/hess-18-287-2014, https://doi.org/10.5194/hess-18-287-2014, 2014
Cited articles
Alebregtse, N. C. and de Swart, H. E.: Effect of river discharge and geometry
on tides and net water transport in an estuarine network, an idealized model
applied to the Yangtze Estuary, Cont. Shelf Res., 123, 29–49,
https://doi.org/10.1016/j.csr.2016.03.028, 2016. a
Buschman, F. A., Hoitink, A. J. F., van der Vegt, M., and Hoekstra, P.:
Subtidal water level variation controlled by river flow and tides, Water
Resour. Res., 45, W10420, https://doi.org/10.1029/2009wr008167,
2009. a, b
Cai, H.: Triple-Linear-Regression-Model-V1.0-Matlab-Toolbox, Github [code], https://github.com/Huayangcai/Triple-Linear-Regression-Model-V1.0-Matlab-Toolbox, last access: 29 September 2022. a
Cai, H., Savenije, H. H. G., and Jiang, C.: Analytical approach for predicting
fresh water discharge in an estuary based on tidal water level observations,
Hydrol. Earth Syst. Sci., 18, 4153–4168,
https://doi.org/10.5194/hess-18-4153-2014, 2014a. a
Cai, H., Savenije, H. H. G., and Toffolon, M.: Linking the river to the
estuary: influence of river discharge on tidal damping, Hydrol. Earth Syst.
Sci., 18, 287–304, https://doi.org/10.5194/hess-18-287-2014,
2014b. a
Cai, H., Savenije, H. H. G., Jiang, C., Zhao, L., and Yang, Q.: Analytical
approach for determining the mean water level profile in an estuary with
substantial fresh water discharge, Hydrol. Earth Syst. Sci., 20, 1177–1195,
https://doi.org/10.5194/hess-20-1177-2016, 2016. a
Cai, H., Piccolroaz, S., Huang, J., Liu, Z., Liu, F., and Toffolon, M.:
Quantifying the impact of the Three Gorges Dam on the thermal dynamics of the
Yangtze River, Environ. Res. Lett., 13, 054016, https://doi.org/10.1088/1748-9326/aab9e0, 2018a. a
Cai, H., Yang, Q., Zhang, Z., Guo, X., Liu, F., and Ou, S.: Impact of
river-tide dynamics on the temporal-spatial distribution of residual water
levels in the Pearl River channel networks, Estuar. Coasts, 41, 1885–1903,
https://doi.org/10.1007/s12237-018-0399-2, 2018b. a
Cai, H., Savenije, H. H. G., Erwan, G., Zhang, X., Guo, L., Zhang, M., Liu, F.,
and Yang, Q.: Seasonal behaviour of tidal damping and residual water level
slope in the Yangtze River estuary: identifying the critical position and
river discharge for maximum tidal damping, Hydrol. Earth Syst. Sci., 23,
2779–2794, https://doi.org/10.5194/hess-23-2779-2019, 2019a. a
Cai, H., Yang, H., Liu, J., Niu, L., Ren, L., Liu, F., Ou, S., and Yang, Q.:
Quantifying the impacts of human interventions on relative mean sea level
change in the Pearl River Delta, China, Ocean Coast. Manage., 173, 52–64,
https://doi.org/10.1016/j.ocecoaman.2019.02.007, 2019b. a
Cai, H., Zhang, X., Zhang, M., Guo, L., Liu, F., and Yang, Q.: Impacts of Three
Gorges Dam's operation on spatial-temporal patterns of tide-river dynamics in
the Yangtze River estuary, China, Ocean Sci., 15, 583–599,
https://doi.org/10.5194/os-15-583-2019, 2019c. a, b
Chen, J., Finlayson, B. L., Wei, T. Y., Sun, Q. L., Webber, M., Li, M. T., and
Chen, Z. Y.: Changes in monthly flows in the Yangtze River, China – With
special reference to the Three Gorges Dam, J. Hydrol., 536, 293–301,
https://doi.org/10.1016/j.jhydrol.2016.03.008, 2016. a
Gan, M., Chen, Y. P., Pan, S. Q., Li, J. X., and Zhou, Z. J.: A modified
nonstationary tidal harmonic analysis model for the Yangtzeestuarine tides,
J. Atmos. Ocean. Tech., 36, 513–525,
https://doi.org/10.1175/Jtech-D-18-0199.1, 2019. a
Giese, B. S. and Jay, D. A.: Modelling tidal energetics of the Columbia River
Estuary, Estuar. Coast. Shelf S., 29, 549–571,
https://doi.org/10.1016/0272-7714(89)90010-3, 1989. a
Godin, G.: The propagation of tides up rivers with special considerations on
the upper Saint Lawrence river, Estuar. Coast. Shelf S., 48, 307–324,
https://doi.org/10.1006/ecss.1998.0422, 1999. a
Guo, H., Hu, Q., Zhang, Q., and Feng, S.: Effects of the Three Gorges Dam on
Yangtze River flow and river interaction with Poyang Lake, China: 2003–2008,
J. Hydrol., 416, 19–27, https://doi.org/10.1016/j.jhydrol.2011.11.027, 2012. a
Guo, L. C., van der Wegen, M., Jay, D. A., Matte, P., Wang, Z. B., Roelvink,
D., and He, Q.: River-tide dynamics: Exploration of nonstationary and
nonlinear tidal behavior in the Yangtze River estuary, J. Geophys.
Res.-Ocean., 120, 3499–3521, https://doi.org/10.1002/2014jc010491, 2015. a
Guo, L. C., Su, N., Zhu, C. Y., and He, Q.: How have the river discharges and
sediment loads changed in the Changjiang River basin downstream of the Three
Gorges Dam?, J. Hydrol., 560, 259–274,
https://doi.org/10.1016/j.jhydrol.2018.03.035, 2018. a, b
Guo, L. C., Zhu, C. Y., Wu, X. F., Wan, Y. Y., Jay, D. A., Townend, I., Wang,
Z. B., and He, Q.: Strong Inland Propagation of Low-Frequency Long Waves in
River Estuaries, Geophys. Res. Lett., 47, e2020GL089112,
https://doi.org/10.1029/2020GL089112, 2020. a, b
Jay, D. A., Leffler, K., Diefenderfer, H. L., and Borde, A. B.: Tidal-fluvial
and estuarine processes in the lower Columbia River: I. along-channel water
level variations, Pacific Ocean to Bonneville Dam, Estuar. Coast., 25,
157–174, https://doi.org/10.1016/0079-6611(90)90006-N, 1990. a
Jay, D. A., Giese, B. S., and Sherwood, C. R.: Energetics and sedimentary
processes in the Columbia River Estuary, Prog. Oceanogr., 38, 415–433,
https://doi.org/10.1007/s12237-014-9819-0, 2015. a
Kästner, K. andand Hoitink, A. J. F., Vermeulen, B., Geertsema, T. J., and
Ningsih, N. S.: Distributary channels in the fluvial to tidal transition
zone, J. Geophys. Res.-Earth Surf., 122, 696–710,
https://doi.org/10.1002/2016JF004075, 2017. a
Kästner, K., Hoitink, A. J. F., Torfs, P. J. J. F., Deleersnijder, E., and
Ningsih, N. S.: Propagation of tides along a river with a sloping bed, J.
Fluid Mech., 872, 39–73, https://doi.org/10.1017/jfm.2019.331, 2019. a
Kukulka, T. and Jay, D. A.: Impacts of Columbia River discharge on salmonid
habitat: 2. Changes in shallow-water habitat, J. Geophys. Res.-Ocean., 108,
3294, https://doi.org/10.1029/2003JC001829, 2003. a, b
Lai, X., Yin, D., Finlayson, B. L., Wei, T., Li, M., Yuan, W., Yang, S., Dai,
Z., Gao, S., and Chen, Z.: Will river erosion below the Three Gorges Dam
stop in the middle Yangtze?, J. Hydrol., 554, 24–31,
https://doi.org/10.1016/j.jhydrol.2017.08.057, 2017. a
Lamb, M. P., Nittrouer, J. A., Mohrig, D., and Shaw, J.: Backwater and river
plume controls on scour upstream of river mouths: Implications for
fluvio-deltaic morphodynamics, J. Geophys. Res.-Earth Surf., 117, F01002,
https://doi.org/10.1029/2011JF002079, 2012. a
Li, Z., Zhang, Z. Y., Lin, C. X., Chen, Y. B., and Wen, A. B., and Fang, F.:
Soil-air greenhouse gas fluxes influenced by farming practices in reservoir
drawdown area: a case at the three Gorges Reservoir in China, J. Environ.
Manage., 181, 64–73, https://doi.org/10.1016/j.jenvman.2016.05.080, 2016. a
Liu, Z., Chen, X., Liu, F., Lin, K., He, Y., and Cai, H.: Joint Dependence
Between River Water Temperature, Air Temperature, and Discharge in the
Yangtze River: The Role of the Three Gorges Dam, J. Geophys.
Res.-Atmos., 123, 11938–11951,
https://doi.org/10.1029/2018jd029078, 2018. a
Lu, S., Tong, C. F., Lee, D. Y., Zheng, J. H., Shen, J., Zhang, W., and Yan,
Y. X.: Propagation of tidal waves up in Yangtze Estuary during the dry
season, J. Geophys. Res.-Ocean., 120, 6445–6473,
https://doi.org/10.1002/2014jc010414, 2015. a
Matte, P., Jay, D. A., and Zaron, E. D.: Adaptation of Classical Tidal Harmonic
Analysis to Nonstationary Tides, with Application to River Tides, J. Atmos.
Ocean. Tech., 30, 569–589, https://doi.org/10.1175/Jtech-D-12-00016.1, 2013. a, b
Matte, P., Secretan, Y., and Morin, J.: Temporal and spatial variability of
tidal-fluvial dynamics in the St. Lawrence fluvial estuary: An
application of nonstationary tidal harmonic analysis, J. Geophys.
Res.-Ocean., 119, 5724–5744, https://doi.org/10.1002/2014jc009791, 2014. a, b, c
Mei, X. F., Dai, Z. J., Du, J. Z., and Chen, J. Y.: Linkage between Three
Gorges Dam impacts and the dramatic recessions in China's largest freshwater
lake, Poyang Lake, Sci. Rep., 5, 18197,
https://doi.org/10.1038/srep18197, 2015. a
Pan, H. D., Guo, Z., Wang, Y. Y., and Lv, X. Q.: Application of the EMD Method
to River Tides, J. Atmos. Ocean. Tech., 35, 809–819,
https://doi.org/10.1175/Jtech-D-17-0185.1, 2018a. a
Pan, H. D., Lv, X. Q., Wang, Y. Y., Matte, P., Chen, H. B., and Jin, G. Z.:
Exploration of Tidal-Fluvial Interaction in the Columbia River Estuary
Using S_TIDE, J. Geophys. Res.-Ocean., 123, 6598–6619,
https://doi.org/10.1029/2018jc014146, 2018b. a, b
Qiu, C. and Zhu, J. R.: Influence of seasonal runoff regulation by the Three
Gorges Reservoir on saltwater intrusion in the Changjiang River Estuary,
Cont. Shelf Res., 71, 16–26, https://doi.org/10.1016/j.csr.2013.09.024,
2013. a
Sassi, M. G. and Hoitink, A. J. F.: River flow controls on tides and tide-mean
water level profiles in a tidal freshwater river, J. Geophys. Res.-Ocean.,
118, 4139–4151, https://doi.org/10.1002/jgrc.20297, 2013. a, b
Sassi, M. G., Hoitink, A. J. F., Brye, B., and Deleersnijder, E.: Downstream
hydraulic geometry of a tidally influenced river delta, J. Geophys.
Res.-Earth, 117, F04022, https://doi.org/10.1029/2012JF002448, 2012. a
Wang, H., Yan, H. Y., Zhou, F. N., Li, B., Zhuang, W., and Shen, Y. H.:
Changes in nutrient transport from the Yangtze River to the East China Sea
linked to the Three-Gorges Dam and water transfer project, Environ. Pollut.,
256, 113376, https://doi.org/10.1016/j.envpol.2019.113376, 2020.
a
Yang, S. L., Milliman, J. D., Li, P., and Xu, K.: 50,000 dams later: Erosion of
the Yangtze River and its delta, Glob. Planet. Change, 75, 14–20,
https://doi.org/10.1016/j.gloplacha.2010.09.006, 2011. a
Yang, S. L., Milliman, J. D., Xu, K. H., Deng, B., Zhang, X. Y., and Luo,
X. X.: Downstream sedimentary and geomorphic impacts of the Three Gorges Dam
on the Yangtze River, Earth-Sci. Rev., 138, 469–486,
https://doi.org/10.1016/j.earscirev.2014.07.006, 2014. a
Yang, Y., Zheng, J., Zhu, L., Zhang, H., and Wang, J.: Influence of the Three
Gorges Dam on the transport and sorting of coarse and fine sediments
downstream of the dam, J. Hydrol., 615, 128654,
https://doi.org/10.1016/j.jhydrol.2022.128654, 2022. a
Yu, X., Zhang, W., and Hoitink, A. J. F.: Impact of river discharge
seasonality change on tidal duration asymmetry in the Yangtze river estuary,
Sci. Rep., 10, 6304, https://doi.org/10.1038/s41598-020-62432-x, 2020. a
Yuan, B., Lin, B. L., and Sun, J.: Decadal changes in sediment budget and
morphology in the tidal reach of the Yangtze River, Catena, 188, 104438,
https://doi.org/10.1016/j.catena.2019.104438, 2020. a
Zhang, E. F., Savenije, H. H. G., Chen, S. L., and Mao, X. H.: An analytical
solution for tidal propagation in the Yangtze Estuary, China, Hydrol. Earth
Syst. Sci., 16, 3327–3339, https://doi.org/10.5194/hess-16-3327-2012, 2012. a
Zhang, W., Cao, Y., Zhu, Y. L., Zheng, J. H., Ji, X. M., Xu, Y. W., Wu, Y., and
Hoitink, A. J. F.: Unravelling the causes of tidal asymmetry in deltas, J.
Hydrol., 564, 588–604, https://doi.org/10.1016/j.jhydrol.2018.07.023, 2018. a
Short summary
Quantifying spatial–temporal water level dynamics is essential for water resources management in estuaries. In this study, we propose a simple yet powerful regression model to examine the influence of the world’s largest dam, the Three Gorges Dam (TGD), on the spatial–temporal water level dynamics within the Yangtze River estuary. The presented method is particularly useful for determining scientific strategies for sustainable water resources management in dam-controlled estuaries worldwide.
Quantifying spatial–temporal water level dynamics is essential for water resources management in...
