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Evaluating the Effects of Low Impact Development Practices on Urban Flooding under Different Rainfall Intensities

机译:评价低影响发展实践对不同降雨强度下城市洪水的影响

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Low impact development (LID) is an important control measure against extreme rainfall events and is widely applied to relieve urban flood disasters. To investigate the effects of LID practices on flooding control under different rainfall scenarios, this paper constructs a rainfall–runoff model based on the storm water management model (SWMM) for a typical residential area in Guangzhou, China. The model is calibrated by using observed rainfall and runoff data. A total of 27 rainfall scenarios are constructed to simulate the change characteristics before and after the LID practices. Also, the projection pursuit method based on a particle swarm optimization (PSO) algorithm is used to assess the flooding characteristics. The results show that the constructed rainfall–runoff model can closely reflect the relationship between rainfall and runoff, with all Nash–Sutcliffe coefficients of efficiency (NSE) exceeding 0.7. It was found from the simulation and assessment of the constructed rainfall scenarios that the changes in rainfall characteristics have a considerable impact on the constructed drainage system and that LID practices can properly control the floods. However, with an increase in rainfall peak coefficient, intensity or duration, the control effects of LID tend to reduce. Particularly in the scenario of relatively high rainfall intensity, the impact of rainfall duration and the rainfall peak coefficient on the LID practices is minor.
机译:低影响发展(LID)是应对极端降雨事件的重要控制措施,已广泛应用于缓解城市洪水灾害。为了研究LID措施对不同降雨情景下防洪的影响,本文基于广州典型住宅区的雨水管理模型(SWMM),构建了降雨径流模型。通过使用观测到的降雨和径流数据对模型进行校准。共构建了27种降雨情景,以模拟LID实施之前和之后的变化特征。此外,基于粒子群优化(PSO)算法的投影追踪方法用于评估洪水特征。结果表明,在所有纳什-萨特克利夫效率系数(NSE)均超过0.7的情况下,构建的降雨-径流模型可以紧密反映降雨与径流之间的关系。从对人工降雨情景的模拟和评估中发现,降雨特征的变化对人工排水系统有相当大的影响,并且LID的实践可以适当地控制洪水。但是,随着降雨峰值系数,强度或持续时间的增加,LID的控制效果趋于降低。特别是在降雨强度相对较高的情况下,降雨持续时间和降雨峰值系数对LID做法的影响很小。

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