globalchange  > 过去全球变化的重建
DOI: 10.1371/journal.pone.0118776
论文题名:
Stormwater Runoff Pollutant Loading Distributions and Their Correlation with Rainfall and Catchment Characteristics in a Rapidly Industrialized City
作者: Dongya Li; Jinquan Wan; Yongwen Ma; Yan Wang; Mingzhi Huang; Yangmei Chen
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2015
发表日期: 2015-3-16
卷: 10, 期:3
语种: 英语
英文关键词: Pollutants ; Water pollution ; Storms ; Rain ; Pollution ; Urban runoff ; Urban areas ; Water quality
英文摘要: Fast urbanization and industrialization in developing countries result in significant stormwater runoff pollution, due to drastic changes in land-use, from rural to urban. A three-year study on the stormwater runoff pollutant loading distributions of industrial, parking lot and mixed commercial and residential catchments was conducted in the Tongsha reservoir watershed of Dongguan city, a typical, rapidly industrialized urban area in China. This study presents the changes in concentration during rainfall events, event mean concentrations (EMCs) and event pollution loads per unit area (EPLs). The first flush criterion, namely the mass first flush ratio (MFFn), was used to identify the first flush effects. The impacts of rainfall and catchment characterization on EMCs and pollutant loads percentage transported by the first 40% of runoff volume (FF40) were evaluated. The results indicated that the pollutant wash-off process of runoff during the rainfall events has significant temporal and spatial variations. The mean rainfall intensity (I), the impervious rate (IMR) and max 5-min intensity (Imax5) are the critical parameters of EMCs, while Imax5, antecedent dry days (ADD) and rainfall depth (RD) are the critical parameters of FF40. Intercepting the first 40% of runoff volume can remove 55% of TSS load, 53% of COD load, 58% of TN load, and 61% of TP load, respectively, according to all the storm events. These results may be helpful in mitigating stormwater runoff pollution for many other urban areas in developing countries.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0118776&type=printable
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/20253
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
journal.pone.0118776.PDF(1202KB)期刊论文作者接受稿开放获取View Download

作者单位: College of Environment and Energy, South China University of Technology, Guangzhou, 510006, China;College of Environment and Energy, South China University of Technology, Guangzhou, 510006, China;The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, Guangzhou, 510006, China;College of Environment and Energy, South China University of Technology, Guangzhou, 510006, China;State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou, 510640, China;College of Environment and Energy, South China University of Technology, Guangzhou, 510006, China;College of Environment and Energy, South China University of Technology, Guangzhou, 510006, China;College of Environment and Energy, South China University of Technology, Guangzhou, 510006, China

Recommended Citation:
Dongya Li,Jinquan Wan,Yongwen Ma,et al. Stormwater Runoff Pollutant Loading Distributions and Their Correlation with Rainfall and Catchment Characteristics in a Rapidly Industrialized City[J]. PLOS ONE,2015-01-01,10(3)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Dongya Li]'s Articles
[Jinquan Wan]'s Articles
[Yongwen Ma]'s Articles
百度学术
Similar articles in Baidu Scholar
[Dongya Li]'s Articles
[Jinquan Wan]'s Articles
[Yongwen Ma]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Dongya Li]‘s Articles
[Jinquan Wan]‘s Articles
[Yongwen Ma]‘s Articles
Related Copyright Policies
Null
收藏/分享
文件名: journal.pone.0118776.PDF
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.