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以径流污染为指标的降雨重要性分类 被引量:2

Rainfall Importance Classification Based on Runoff Pollution
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摘要 根据径流冲刷污染量,对场次降雨重要性提出划分标准,可以有重点地开展降雨径流污染监测工作,也可降低实际工程中对多年详细场次降雨资料的依赖。在长时间序列降雨资料的基础上,根据降雨径流污染程度的不同对降雨分类,找出径流污染较大的降雨(即重要降雨)。根据各类降雨特征参数(干旱时间和场次降雨量)的不同,用模糊C均值聚类法把降雨分为3类,分别为重要降雨、一般降雨和不重要降雨。研究提出降雨重要性分类方法,并应用于深圳市WH河流域案例。结果表明,绘制重要性不同降雨分布图,可以相对划分各类降雨分布区域,建立分类标准,处于模糊区域的降雨则需结合其他因素判别。 According to the amount of runoff pollution,a classification standard based on the importance of rainfall was proposed,which could be used to monitor rainfall runoff pollution and reduce the dependence on multi-year detailed rainfall data in practical engineering application.Based on longterm series of rainfall data,the rainfall was classified according to the degree of rainfall runoff pollution,and the rainfall with large runoff pollution(important rainfall)was determined.According to different types of rainfall characteristic parameters(dry weather days and rainfall depth),fuzzy C-means clustering method was applied to classify rainfalls into three categories:important rainfall,general rainfall and unimportant rainfall.A rainfall importance classification method was proposed and applied to the WH river basin in Shenzhen.By drawing rainfall distribution maps with different importance,various rainfall distribution areas were relatively divided and a classification standard was established.However,rainfalls in fuzzy areas needed to be distinguished by combining other factors.
作者 李哲 周毅 吴丽珍 王莉芸 LI Zhe;ZHOU Yi;WU Li-zhen;WANG Li-yun(School of Civil Engineering,Wuhan University,Wuhan 430072,China;Enigineering Research Center of Urban Disasters Prevention and Fire Rescue Technology of Hubei Province,Wuhan 430072,China;Hubei Key Laboratory of Water System Science for Sponge City Construction<Wuhan University>,Wuhan 430072,China;Shenzhen Institute of Building Research Co.Ltd.,Shenzhen 518000,China)
出处 《中国给水排水》 CAS CSCD 北大核心 2021年第9期110-115,共6页 China Water & Wastewater
基金 广东省水利科技创新项目(2017-33)。
关键词 径流污染 重要性 模糊C均值聚类法 长时间序列降雨 场次降雨 干旱时间 runoff pollution importance fuzzy C-means clustering long-term series of rainfall rainfall event dry weather days
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