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Risk Assessment of Non-point Source Pollution in Hulan River Basin Using an Output Coefficient Model |
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KeyWord:Hulan River Basin; output coefficient; non-point source pollution; risk assessment |
Author Name | Affiliation | ZHANG Li-kun | Chinese Research Academy of Environmental Sciences,Beijing 100012,China State Environment Protection Key Laboratory of Regional Eco-process and Function Assessment,Beijing 100012,China | XIANG Bao | Chinese Research Academy of Environmental Sciences,Beijing 100012,China State Environment Protection Key Laboratory of Regional Eco-process and Function Assessment,Beijing 100012,China | HU Yu | Chinese Research Academy of Environmental Sciences,Beijing 100012,China State Environment Protection Key Laboratory of Regional Eco-process and Function Assessment,Beijing 100012,China;College of Water Sciences,Beijing Normal University,Beijing 100875,China | FANG Guang-ling | Chinese Research Academy of Environmental Sciences,Beijing 100012,China State Environment Protection Key Laboratory of Regional Eco-process and Function Assessment,Beijing 100012,China | JIN Xia | Chinese Research Academy of Environmental Sciences,Beijing 100012,China State Environment Protection Key Laboratory of Regional Eco-process and Function Assessment,Beijing 100012,China College of Geographical Science of Inner Mongolia Normal University,Hohhot 010022,China | MA Guang-wen | China National Environmental Monitoring Centre, Beijing 100012, China |
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Abstract: |
Reducing non-point source pollution is an important way to improve water quality of a river basin. Identifying priority areas through risk assessment and implementing partitioned managements would effectively control non-point source pollution. In this paper, the risk of nitrogen and phosphorus to Hulan River Basin was estimated using the random simulation method and GIS technology based on their output coefficients collected from the literatures. In the Hulan River Basin, N was the major pollutant, the incidence for N and P risks was 40.48% and 17.11%, respectively. Wangkui county had the most serious pollution, followed by Suihua and Hailun, and the least risk in Qing′an and Suiling. Non-point pollution was more serious in the tributaries than the mainstream. Based on the risk assessments, Hulan River Basin was divided into five management regions. The high-risk region accounted for 38.54% of the total watershed area, indicating high risk of non-point source pollution in the Hulan River Basin. These results would provide useful information for controlling non-point pollution and improving water quality in the Hulan River Basin. |
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