九江市春季期间不同交通量下典型道路雨水径流污染特征分析  

Analysis of Pollution Characteristics of Typical Roads Runoff with Different Traffic Volume in Spring in Jiujiang City

作　　者：叶楚雄 王劲松 蒋明 吕药灵 陈江海 陈翔 郑雄 YE Chu-xiong;WANG Jin-song;JIANG Ming;LV Yao-ling;CHEN Jiang-hai;CHEN Xiang;ZHENG Xiong(College of Civil Engineering,University of South China,Hengyang 421000,China;Shanghai Urban Construction Design and Research Institute,Shanghai 200125,China;Shanghai Investigation,Design and Research Institute,Shanghai 200434,China)

机构地区：[1]南华大学土木工程学院,湖南衡阳421000 [2]上海市城市建设设计研究总院,上海200125 [3]上海勘测设计研究院有限公司,上海200434

出　　处：《水电能源科学》2022年第11期50-54,共5页Water Resources and Power

基　　金：中国长江三峡集团有限公司科研项目(202003136)。

摘　　要：为研究春季期间不同交通量下道路雨水径流污染特征,对九江市典型道路雨水径流进行采样检测试验。结果表明,总体而言,交通量对于道路雨水径流污染有显著影响,交通量越大的道路其径流污染程度越高;通过SOM神经网络半定量可视化分析及Pearson定量分析验证表明,道路雨水径流中COD、TP主要以颗粒物结合态形式存在,而NH_(3)-N、TN主要以溶解态形式存在;各道路各场次降雨均存在较为明显的初期冲刷效应,且交通量越小的道路初期冲刷系数F(F_(30))越大;通过SOM神经网络聚类分析辨别各污染指标的影响因素发现,降雨量是污染指标的主要影响因素,与各污染指标呈较强的负相关,其次要影响因素为雨前干期,与各径流污染指标呈较弱的正相关;可使用Sartor-Boyd冲刷模型对于道路径流中污染物变化进行拟合,便于后期城市道路雨水径流污染排放的模拟与预测。To study the characteristics of road runoff pollution under different traffic volumes in spring, road runoffs were sampled and detected on typical roads in Jiujiang City. The results show that in general, traffic volume has a significant impact on the road runoff pollution, roads with greater traffic volume have higher runoff pollution. The semi-quantitative visual analysis of self-organizing map(SOM) neural network and the verification of Pearson quantitative analysis show that the COD and TP mainly exist in the form of particulate matter, while NH-N and TN mainly exist in the form of dissolved state. There is a relatively obvious initial flush effect of each road and each rain event, and the smaller the traffic volume of the road, the larger the F_(F_(30)) value. Through the cluster analysis of SOM neural network to identify the influencing factors of each pollutant, it is found that rainfall is the main factor of the pollutant and has a strong negative correlation between each pollutant. The second influencing factor is antecedent dry days, which has a weak positive correlation between runoff pollutants. The Sartor-Boyd scour model can be used to fit the changes of pollutants in the road runoff, which is convenient for the simulation and prediction of the pollutant discharge of urban road runoff.

关 键 词：道路径流 初期冲刷效应 SOM 影响因素 Sartor-Boyd冲刷模型 

分 类 号：TV121.1[水利工程—水文学及水资源] X82[环境科学与工程—环境工程]