Pollutant source analysis and identification of prior control areas in three gorges reservoir based on SWAT model - 文章详情页

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摘要：

SWAT　model　was　applied　to　Three　Gorges　Reservoir　(TGR)　region　to　study　the　non-point　source　pollution　and　identify　the　key　areas　of　pollution　in　this　research.　After　the　model　was　established,　observed　data　of　hydrological　and　water　quality　from　2002　to　2008　were　used　for　the　simulation　calibration　and　validation.　The　simulation　for　the　indicator　ENS　(Nash-Suttclife　efficiency)　of　stream　flow,　sediment,　nutrient　were　satisfying.　Pollution　source　of　TGR　was　studied　later.　The　result　showed　that　upstream　input　was　dominant　with　71.71%　average　contribution　rate,　non-point　source　pollution　of　TGR　watershed　came　second　with　the　maximal　contribution　rate　33.03%,　and　point　source　of　TGR　watershed　was　the　lowest　which　accounted　for　4.17%　at　most.　Finally,　pollution　loads　per　area　of　TGR　were　modified.　According　to　the　modification,　main　areas　of　non-point　source　pollution　were　located　in　the　central　of　TGR　watershed　mainly,　such　as　the　tributary　watershed　of　Xiaojiang　River,　Tangxi　Rive　and　Daning　River.

关键词：

Non-point source; Pollution load; SWAT; Three gorges reservoir

作者机构：

[ 1 ] [Chen, Y.]College of Environmental and Energy Engineering, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Guo, X.-R.]College of Environmental and Energy Engineering, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Cheng, S.-Y.]College of Environmental and Energy Engineering, Beijing University of Technology, Beijing 100124, China
[ 4 ] [Wang, Z.]China Waterborne Transport Research Institute, Beijing 100088, China
[ 5 ] [Qin, C.-H.]China Waterborne Transport Research Institute, Beijing 100088, China
[ 6 ] [Lu, J.]Department of Water Environment, China Institute of Water Resource and Hydropower Research, Beijing 100038, China
[ 7 ] [Gao, J.-J.]Department of Water Environment, China Institute of Water Resource and Hydropower Research, Beijing 100038, China
[ 8 ] [Huang, Q.]Department of Environmental Engineering, Jinan University, Guangzhou 510632, China

通讯作者信息：

[Chen, Y.]College of Environmental and Energy Engineering, Beijing University of Technology, Beijing 100124, China

电子邮件地址：

weretoyou427@emails.bjut.edu.cn

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