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河网地区城市面源污染与水生态环境响应模型

Response Model for Urban Area Source Pollution and Water Environmental Quality in a River Network Region.

机构信息

Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China.

College of Harbour, Coastal and Offshore Engineering, Hohai University, Nanjing 210098, China.

出版信息

Int J Environ Res Public Health. 2022 Aug 24;19(17):10546. doi: 10.3390/ijerph191710546.

DOI:10.3390/ijerph191710546
PMID:36078282
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9517762/
Abstract

With the development of cities, urban area source pollution has become more severe and a significant source of water pollution. To study the relationship between urban area source pollution and water environmental quality in a river network, this study uses a city in the Yangtze River Delta, China, as an example. The Storm Water Management Model (SWMM) model and the MIKE11 model were combined into a unified modeling framework and used to simulate dynamic changes in the water quality of a river network under light rain, moderate rain, and heavy rain. In the study period, the annual urban area source input loads of potassium permanganate (COD), total phosphorus (TP), and ammonia nitrogen were 29.8, 0.9, and 4.8 t, respectively. The influence of light rain on the water quality of the river network was lagging and temporary, and rainfall area pollution was the primary contributor. Under the scenario of moderate rain, overflow from a pipeline network compounded rainfall runoff, resulting in a longer duration of impact on the water quality in the river. Additionally, the water quality in the river course was worse under moderate rain than under light or heavy rain. Under the scenario of heavy rain, rain mainly served a dilutive function. This research can provide support for urban area source pollution control and management.

摘要

随着城市的发展,城区面源污染日益严重,成为水污染的重要来源。为研究河网区城区面源污染与水环境质量的关系,以长三角地区某城市为例,采用暴雨管理模型(SWMM)与 MIKE11 模型相结合的方法构建了统一的模拟框架,对小雨、中雨和大雨条件下河网区水质的动态变化进行模拟。研究期间,城市面源年输入负荷高锰酸盐指数(COD)、总磷(TP)和氨氮分别为 29.8、0.9 和 4.8 t。小雨对河网水质的影响具有滞后性和短暂性,降雨区域污染是主要贡献者。在中雨情景下,管网溢流与降雨径流叠加,对河网水质的影响时间更长,河网水质比小雨和大雨更差。在大雨情景下,降雨主要起稀释作用。该研究可为城区面源污染控制与管理提供支撑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb2c/9517762/0609f921c9d3/ijerph-19-10546-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb2c/9517762/461e68f51a13/ijerph-19-10546-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb2c/9517762/cd8aaea26b03/ijerph-19-10546-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb2c/9517762/66b904093e31/ijerph-19-10546-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb2c/9517762/d42800b12b48/ijerph-19-10546-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb2c/9517762/08c93b342948/ijerph-19-10546-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb2c/9517762/79a288286fa8/ijerph-19-10546-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb2c/9517762/0609f921c9d3/ijerph-19-10546-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb2c/9517762/461e68f51a13/ijerph-19-10546-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb2c/9517762/cd8aaea26b03/ijerph-19-10546-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb2c/9517762/66b904093e31/ijerph-19-10546-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb2c/9517762/d42800b12b48/ijerph-19-10546-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb2c/9517762/08c93b342948/ijerph-19-10546-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb2c/9517762/79a288286fa8/ijerph-19-10546-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb2c/9517762/0609f921c9d3/ijerph-19-10546-g007.jpg

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