Volume 14 Issue 2
Apr.  2023
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Hanqing Xu, Elisa Ragno, Jinkai Tan, Alessandro Antonini, Jeremy D. Bricker, Sebastiaan N. Jonkman, Qing Liu, Jun Wang. Perspectives on Compound Flooding in Chinese Estuary Regions[J]. International Journal of Disaster Risk Science, 2023, 14(2): 269-279. doi: 10.1007/s13753-023-00482-1
Citation: Hanqing Xu, Elisa Ragno, Jinkai Tan, Alessandro Antonini, Jeremy D. Bricker, Sebastiaan N. Jonkman, Qing Liu, Jun Wang. Perspectives on Compound Flooding in Chinese Estuary Regions[J]. International Journal of Disaster Risk Science, 2023, 14(2): 269-279. doi: 10.1007/s13753-023-00482-1

Perspectives on Compound Flooding in Chinese Estuary Regions

doi: 10.1007/s13753-023-00482-1
Funds:

This work is sponsored by the Major Program of National Social Science Foundation of China (Grant No. 18ZDA105), and the National Natural Science Foundation of China (Grant No. 41971199). Jinkai Tan is thankful for financial support from the China Postdoctoral Science Foundation (Grant No. 2021M693584). Hanqing Xu is thankful for financial support from the program of China Scholarships Council (Grant No. 202006140040).

  • Accepted Date: 2023-03-15
  • Available Online: 2023-04-28
  • Publish Date: 2023-04-11
  • Extreme surges and rainfall represent major driving factors for compound flooding in estuary regions along the Chinese coast. The combined effect of extreme surges and rainfall (that is, compound floods) might lead to greater impacts than if the drivers occurred in isolation. Hence, understanding the frequency and severity of compound flooding is important for improving flood hazard assessment and compound flood resilience in coastal cities. In this study, we examined the dependence between extreme surges and corresponding rainfall events in 26 catchments along the Chinese coastline during typhoon and non-typhoon seasons using copula functions, to identify where the two drivers more often occur together and the implication for flood management in these locations. We found that the interaction between flood drivers is statistically significant in 10 catchments located around Hainan Island (south) and Shanghai, where surge peaks occur mainly during the typhoon season and around the Bohai Sea (north), where surge peaks occur mainly during the non-typhoon season. We further applied the copula-based framework to model the dependence between surge peaks and associated rainfall and estimate their joint and conditional probability in two specific locations-Hainan Island and the Bohai Sea, where the correlation between flood drivers is statistically significant. We observed that in Hainan Island where most of the surge peaks occur during the typhoon season, extreme rainfall events during the typhoon season are generally more intense compared to annual maxima rainfall. In contrast, around the Bohai Sea where surge peaks occur mainly outside the typhoon season, rainfall is less intense than annual maxima rainfall. These results show that the interaction between extreme surges and rainfall can provide valuable insight when designing coastal and urban infrastructure, especially in highly populated urban areas prone to both coastal and pluvial flooding, such as many Chinese coastal cities.
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  • [1]
    Antonini, A., A. Raby, J.M.W. Brownjohn, A. Pappas, and D. D'Ayala. 2019. Survivability assessment of Fastnet lighthouse. Coastal Engineering 150:18-38.
    [2]
    Bevacqua, E., D. Maraun, I. Hobæk Haff, M. Widmann, and M. Vrac. 2017. Multivariate statistical modelling of compound events via pair-copula constructions:Analysis of floods in Ravenna (Italy). Hydrology and Earth System Sciences 21(6):2701-2723.
    [3]
    Bevacqua, E., D. Maraun, M.I. Vousdoukas, E. Voukouvalas, M. Vrac, L. Mentaschi, and M. Widmann. 2019. Higher probability of compound flooding from precipitation and storm surge in Europe under anthropogenic climate change. Science Advances 5(9):eaaw5531.
    [4]
    Bevacqua, E., M.I. Vousdoukas, T.G. Shepherd, and M. Vrac. 2020. Brief communication:the role of using precipitation or river discharge data when assessing global coastal compound flooding. Natural Hazards and Earth System Sciences 20(6):1765-1782.
    [5]
    Burnham, K.P., and D.R. Anderson. 2004. Multimodel inference:understanding AIC and BIC in model selection. Sociological Methods & Research 33(2):261-304.
    [6]
    Coles, S., J. Bawa, L. Trenner, and P. Dorazio. 2001. An introduction to statistical modeling of extreme values. London:Springer.
    [7]
    Couasnon, A., D. Eilander, S. Muis, T.I. Veldkamp, I.D. Haigh, T. Wahl, and P.J. Ward. 2020. Measuring compound flood potential from river discharge and storm surge extremes at the global scale. Natural Hazards and Earth System Sciences 20(2):489-504.
    [8]
    Day, J.A., I. Fung, and W. Liu. 2018. Changing character of rainfall in eastern China, 1951-2007. Proceedings of the National Academy of Sciences 115(9):2016-2021.
    [9]
    De Michele, C., and G. Salvadori. 2003. A generalized Pareto intensity-duration model of storm rainfall exploiting 2-copulas. Journal of Geophysical Research:Atmospheres. https://doi.org/10.1029/2002JD002534.
    [10]
    Fang, W., X. Zhong, and X. Shi. 2016. Typhoon disasters in China. In Natural disasters in China, ed. P. Shi, 103-131. Berlin:Springer.
    [11]
    Fang, J., T. Wahl, J. Fang, X. Sun, F. Kong, and M. Liu. 2021. Compound flood potential from storm surge and heavy precipitation in coastal China:dependence, drivers, and impacts. Hydrology and Earth System Sciences 25(8):4403-4416.
    [12]
    Fang, J., T. Wahl, Q. Zhang, S. Muis, P. Hu, J. Fang, S. Du, T. Dou, and P. Shi. 2021. Extreme sea levels along coastal China:uncertainties and implications. Stochastic Environmental Research and Risk Assessment 35:405-418.
    [13]
    Feng, J., D. Li, Y. Li, Q. Liu, and A. Wang. 2018. Storm surge variation along the coast of the Bohai Sea. Scientific Reports 8(1):1-10.
    [14]
    Ghanbari, M., M. Arabi, S.C. Kao, J. Obeysekera, and W. Sweet. 2021. Climate change and changes in compound coastal-riverine flooding hazard along the US coasts. Earth's Future 9(5):e2021EF002055.
    [15]
    Hauke, J., and T. Kossowski. 2011. Comparison of values of Pearson's and Spearman's correlation coefficient on the same sets of data. Quaestiones Geographicae 30(2):87-93.
    [16]
    Ke, Q., S.N. Jonkman, P.H. Van Gelder, and J.D. Bricker. 2018. Frequency analysis of storm-surge-induced flooding for the Huangpu river in Shanghai, China. Journal of Marine Science and Engineering 6(2):70.
    [17]
    Kossin, J.P. 2018. A global slowdown of tropical-cyclone translation speed. Nature 558(7708):104-107.
    [18]
    Lehner, B., Verdin, K., and Jarvis, A. 2008. New global hydrography derived from spaceborne elevation data. Eos, Transactions, American Geophysical Union 89(10):93-94. https://doi.org/10.1029/2008eo100001.
    [19]
    Liu, Q., H. Xu, and J. Wang. 2022. Assessing tropical cyclone compound flood risk using hydrodynamic modelling:a case study in Haikou City, China. Natural Hazards and Earth System Sciences 22(2):665-675.
    [20]
    Mori, N., T. Shimura, K. Yoshida, R. Mizuta, Y. Okada, M. Fujita, and E. Nakakita. 2019. Future changes in extreme storm surges based on mega-ensemble projection using 60-km resolution atmospheric global circulation model. Coastal Engineering Journal 61(3):295-307.
    [21]
    Muis, S., M. Verlaan, H.C. Winsemius, J.C. Aerts, and P.J. Ward. 2016. A global reanalysis of storm surges and extreme sea levels. Nature Communications 7(1):1-12.
    [22]
    Muis, S., M. Verlaan, R.J. Nicholls, S. Brown, J. Hinkel, D. Lincke, and P.J. Ward. 2017. A comparison of two global datasets of extreme sea levels and resulting flood exposure. Earth's Future 5(4):379-392.
    [23]
    Najafi, M.R., Y. Zhang, and N. Martyn. 2021. A flood risk assessment framework for interdependent infrastructure systems in coastal environments. Sustainable Cities and Society 64:102516.
    [24]
    Pickands III, J. 1975. Statistical inference using extreme order statistics. The Annals of Statistics 3(1):119-131.
    [25]
    Sadegh, M., H. Moftakhari, H.V. Gupta, E. Ragno, O. Mazdiyasni, B. Sanders, and A. AghaKouchak. 2018. Multihazard scenarios for analysis of compound extreme events. Geophysical Research Letters 45(11):5470-5480.
    [26]
    Saleh, F., V. Ramaswamy, Y. Wang, N. Georgas, A. Blumberg, and J. Pullen. 2017. A multi-scale ensemble-based framework for forecasting compound coastal-riverine flooding:the Hackensack-Passaic watershed and Newark Bay. Advances in Water Resources 110:371-386.
    [27]
    Salvadori, G., and C. De Michele. 2004. Frequency analysis via copulas:theoretical aspects and applications to hydrological events. Water Resources Research 40(12):W12511.
    [28]
    Shi, X., S. Liu, S. Yang, Q. Liu, J. Tan, and Z. Guo. 2015. Spatial-temporal distribution of storm surge damage in the coastal areas of China. Natural Hazards 79(1):237-247.
    [29]
    Shi, X., Z. Han, J. Fang, J. Tan, Z. Guo, and Z. Sun. 2020. Assessment and zonation of storm surge hazards in the coastal areas of China. Natural Hazards 100(1):39-48.
    [30]
    Sklar, A. 1973. Random variables, joint distribution functions, and copulas. Kybernetika 9(6):449-460.
    [31]
    State Oceanic Administration. 1998. State Oceanic Administration Bulletin of Oceanic Disaster of China in 1997. Beijing:China Ocean Press (in Chinese).
    [32]
    Sun, X., R. Li, X. Shan, H. Xu, and J. Wang. 2021. Assessment of climate change impacts and urban flood management schemes in central Shanghai. International Journal of Disaster Risk Reduction 65:102563.
    [33]
    Vousdoukas, M.I., L. Mentaschi, E. Voukouvalas, A. Bianchi, F. Dottori, and L. Feyen. 2018. Climatic and socioeconomic controls of future coastal flood risk in Europe. Nature Climate Change 8(9):776-780.
    [34]
    Wahl, T., S. Jain, J. Bender, S.D. Meyers, and M.E. Luther. 2015. Increasing risk of compound flooding from storm surge and rainfall for major US cities. Nature Climate Change 5(12):1093-1097.
    [35]
    Wang, Q., Y. Xu, N. Wei, S. Wang, and H. Hu. 2019. Forecast and service performance on rapidly intensification process of Typhoons Rammasun (2014) and Hato (2017). Tropical Cyclone Research and Review 8(1):18-26.
    [36]
    Ward, P.J., A. Couasnon, D. Eilander, I.D. Haigh, A. Hendry, S. Muis, and T. Wahl. 2018. Dependence between high sea-level and high river discharge increases flood hazard in global deltas and estuaries. Environmental Research Letters 13(8):084012.
    [37]
    Wu, W., S. Westra, and M. Leonard. 2021. Estimating the probability of compound floods in estuarine regions. Hydrology and Earth System Sciences 25(5):2821-2841.
    [38]
    Xiang, C., L. Wu, and N. Qin. 2021. Characteristics of extreme rainfall and rainbands evolution of super Typhoon Lekima (2019) during its landfall. Frontiers of Earth Science 16:64-74.
    [39]
    Zhang, H., W. Cheng, X. Qiu, X. Feng, and W. Gong. 2017. Tide-surge interaction along the east coast of the Leizhou Peninsula, South China Sea. Continental Shelf Research 142:32-49.
    [40]
    Zheng, F., S. Westra, and S.A. Sisson. 2013. Quantifying the dependence between extreme rainfall and storm surge in the coastal zone. Journal of Hydrology 505:172-187.
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