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作 者:胡海洋 陈国炜[1] 刘丽[1] 王钢 HU Haiyang;CHEN Guowei;LIU Li;WANG Gang(School of Civil and Hydraulic Engineering,Hefei University of Technology,Hefei 230009,China;College of Land Science and Technology,China Agricultural University,Beijing 100083,China)
机构地区:[1]合肥工业大学土木与水利工程学院,安徽合肥230009 [2]中国农业大学土地科学与技术学院,北京100083
出 处:《合肥工业大学学报(自然科学版)》2024年第9期1281-1287,共7页Journal of Hefei University of Technology:Natural Science
基 金:国家自然科学基金资助项目(42277298)。
摘 要:降雨过程特征变化是引发城市内涝的重要因素之一。文章使用多降雨情景模拟,以降雨因素中降雨重现期、降雨持续时间和雨峰系数为变量进行冗余分析(redundancy analysis,RDA),全面探究各降雨因素对雨水排水系统溢流的影响。结果表明:节点溢流量和排放口径流量受降雨重现期影响最大;重现期、持续时间和雨峰系数的变化对节点溢流都具有显著性影响,其影响程度从大到小依次为重现期、持续时间、雨峰系数;使用K-means聚类对节点溢流多指标综合分析,为未来降雨条件下雨水排水系统溢流风险进行预测。The change of rainfall process characteristics is one of the important factors causing urban waterlogging.Using multi-scenario rainfall simulation,this paper conducts a redundancy analysis(RDA)with rainfall recurrence period,rainfall duration and rainfall peak coefficient as variables to comprehensively explore the influence of each rainfall factor on the overflow of storm water drainage system.The results show that the nodal overflow and outlet runoff are most affected by the rainfall recurrence period.The change of recurrence period,duration and rainfall peak coefficient has significant influence on nodal overflow,and the degree of influence in descending order is as follows:recurrence period,duration and rainfall peak coefficient.K-means clustering is used to comprehensively analyze multiple indicators of nodal overflow,and forecast the overflow risk of storm water drainage system under future rainfall conditions.
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