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Joint impact of rainfall and tidal level on flood risk in a coastal city with a complex river network: a case study of Fuzhou City, China

机译:沿海河网复杂的城市,降雨和潮汐水平对洪水风险的共同影响:以中国福州市为例

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Coastal cities are particularly vulnerable to flood under multivariableconditions, such as heavy precipitation, high sea levels, and storms. Thecombined effect of multiple sources and the joint probability of extremesshould be considered to assess and manage flood risk better. This paper aimsto study the combined effect of rainfall and the tidal level of thereceiving water body on flood probability and severity in Fuzhou City, whichhas a complex river network. Flood severity under a range of precipitationintensities, with return periods (RPs) of 5 yr to 100 yr, and tidallevels was assessed through a hydrodynamic model verified by data observedduring Typhoon Longwang in 2005. According to the percentages of the rivernetwork where flooding occurred, the threshold conditions for flood severitywere estimated in two scenarios: with and without working pumps. In FuzhouCity, working pumps efficiently reduce flood risk from precipitation withina 20-yr RP. However, the pumps may not work efficiently when rainfallexceeds a 100-yr RP because of the limited conveyance capacity of theriver network. Joint risk probability was estimated through the optimalcopula. The joint probability of rainfall and tidal level both exceedingtheir threshold values is very low, and the greatest threat in Fuzhou comesfrom heavy rainfall. However, the tidal level poses an extra risk of flood.Given that this extra risk is ignored in the design of flood defense inFuzhou, flood frequency and severity may be higher than understood duringdesign.
机译:在多变量条件下,例如强降雨,高海平面和暴风雨,沿海城市特别容易遭受洪灾。为了更好地评估和管理洪水风险,应考虑多种因素的综合作用和极端事件的联合概率。本文旨在研究具有复杂河网的福州市降雨和受潮水位对洪水可能性和严重性的综合影响。在2005年台风龙王期间观测到的数据验证的水动力模型的基础上,通过水动力模型评估了在5年至100年的回归期(RPs)和潮汐水平下一系列降雨强度下的洪水严重性。根据发生洪水的河网百分比,在两种情况下估计了洪水严重性的阈值条件:有工作泵和无工作泵。在福州市,工作泵能有效降低20年RP的降雨带来的洪水风险。但是,由于河网的输送能力有限,当降雨超过100年RP时,这些泵可能无法有效工作。通过最优copula估计联合风险概率。降雨和潮汐水平超过阈值的联合概率非常低,福州的最大威胁来自暴雨。然而,潮汐水位带来了额外的洪水风险。鉴于在福州的防洪设计中忽略了这种额外的风险,因此洪水的频率和严重性可能会比设计期间所理解的要高。

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