基于数值模型的平原河网区未来洪水严重程度预测——以实例为例

IF 3.4 3区 工程技术 Q1 MECHANICS
Zi-jun Hu (胡孜军) , Ling-ling Wang (王玲玲) , Hong-wu Tang (唐洪武) , Xiao-ming Qi (戚晓明)
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引用次数: 16

摘要

苏州是中国最发达的地区之一,位于长江三角洲东部。由于其地理位置和河流特征,未来在气候变化背景下可能面临较高的洪水风险。为了研究该地区在极端情景下的洪水响应,建立了考虑水闸和水泵实时运行的一维水动力模型。用两种集总水文模型分别模拟了城市和农村地区的降雨径流过程。提出了定量评价该地区洪水严重程度的指标。研究结果表明,现有的防洪系统能够有效地防止未来苏州市中心城区的洪水泛滥。应重视太湖洪涝的排涝困难,避免洪涝灾害的发生。基于岸内模型和评价参数的建模方法可以有效地估算平原河网流域洪水的严重程度。研究结果对未来可能发生的极端洪水事件有一定的指导意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of the future flood severity in plain river network region based on numerical model: A case study

Suzhou is one of China's most developed regions, located in the eastern part of the Yangtze Delta. Due to its location and river features, it may at a high risk of flood under the climate change background in the future. In order to investigate the flood response to the extreme scenario in this region, 1-D hydrodynamic model with real-time operations of sluices and pumps is established. The rain-runoff processes of the urban and rural areas are simulated by two lumped hydrologic models, respectively. Indicators for a quantitative assessment of the flood severity in this region are proposed. The results indicate that the existing flood control system could prevent the Suzhou Downtown from inundation in the future. The difficulty of draining the Taihu Lake floods should be given attention to avoid the flood hazard. The modelling approach based on the in-bank model and the evaluation parameters could be effective for the flood severity estimation in the plain river network catchment. The insights from this study of the possible future extreme flood events may assist the policy making and the flood control planning.

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