Articles | Volume 23, issue 1
https://doi.org/10.5194/nhess-23-127-2023
https://doi.org/10.5194/nhess-23-127-2023
Research article
 | 
17 Jan 2023
Research article |  | 17 Jan 2023

Warning water level determination and its spatial distribution in coastal areas of China

Shan Liu, Xianwu Shi, Qiang Liu, Jun Tan, Yuxi Sun, Qingrong Liu, and Haoshuang Guo

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This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
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Cited articles

Caruso, M. F. and Marani, M.: Extreme-coastal-water-level estimation and projection: a comparison of statistical methods, Nat. Hazards Earth Syst. Sci., 22, 1109–1128, https://doi.org/10.5194/nhess-22-1109-2022, 2022. 
Church, J. A. and White, N. J.: Sea-Level Rise from the Late 19th to the Early 21st Century, Surv. Geophys., 32, 585–602, https://doi.org/10.1007/s10712-011-9119-1, 2011. 
Fu, X., Che, Z. M., Ding, J., Li, M. J., and Li, T.: An application approach of new warning water level in storm surge forecasting and warning, Mar. Forecasts, 34, 1–9, 2017 (in Chinese). 
Haixia, Z., Meng, C., and Weihua, F.: Joint probability analysis of storm surge and wave caused by tropical cyclone for the estimation of protection standard: a case study on the eastern coast of the Leizhou Peninsula and Hainan Island of China, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-847, 2022. 
Hay, C., Morrow, E., Kopp, R., and Mitrovica, J. X.: Probabilistic reanalysis of twentieth-century sea-level rise, Nature, 517, 481–484, https://doi.org/10.1038/nature14093, 2015. 
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This study proposes a quantitative method for the determination of warning water levels. The proposed method is a multidimensional scale, centered on the consideration of various factors that characterize various coastlines. The implications of our study are not only scientific, as we provide a method for water level determination that is rooted in the scientific method (and reproducible across various contexts beyond China), but they are also deeply practical.
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