{"title":"Pollution load simulation of Dongting Lake basin based on SWAT and GIS","authors":"Li Fang, Wenjie Wang, Chenfeng Liu, Zhuoyuan Yu","doi":"10.1109/GEOINFORMATICS.2015.7378624","DOIUrl":null,"url":null,"abstract":"In this study, the Soil and Water Assessment Tool (SWAT) model was applied to simulate pollutant load of the TP and TN of Dongting Lake basin, considering point source and non-point source pollution. Comparison verification was made between water quality monitoring data from Shahekou, Hanshoupotou and Zhangshugang water monitoring stations and simulated results. Three assessment indicators, Re, R2, and E were used to evaluate the availability and suitability of the model. Spatial analysis by GIS revealed that TP and TN load was found to be concentrated in the nearby lake district that merged by sub-basins whose outlets were directly into the lake and the area covered 22 thousand KM2. The pollutant load of TP and TN in the nearby lake district accounts for 39.6% and 45.2%. Xiang River district was the second largest area which account for 13.9% and 12.5% of TP and TN respectively. Yuan River district burdened the least amount of the pollutant load. Contribution rate analysis showed that farmland runoff and aquaculture should be the key factors for pollution. Fertilizer of farmland runoff was the most critical contributor for TN load which account for 32.9% of the total amount, and aquaculture was the largest contributors for TP load account for 47.3%.","PeriodicalId":371399,"journal":{"name":"2015 23rd International Conference on Geoinformatics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 23rd International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GEOINFORMATICS.2015.7378624","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, the Soil and Water Assessment Tool (SWAT) model was applied to simulate pollutant load of the TP and TN of Dongting Lake basin, considering point source and non-point source pollution. Comparison verification was made between water quality monitoring data from Shahekou, Hanshoupotou and Zhangshugang water monitoring stations and simulated results. Three assessment indicators, Re, R2, and E were used to evaluate the availability and suitability of the model. Spatial analysis by GIS revealed that TP and TN load was found to be concentrated in the nearby lake district that merged by sub-basins whose outlets were directly into the lake and the area covered 22 thousand KM2. The pollutant load of TP and TN in the nearby lake district accounts for 39.6% and 45.2%. Xiang River district was the second largest area which account for 13.9% and 12.5% of TP and TN respectively. Yuan River district burdened the least amount of the pollutant load. Contribution rate analysis showed that farmland runoff and aquaculture should be the key factors for pollution. Fertilizer of farmland runoff was the most critical contributor for TN load which account for 32.9% of the total amount, and aquaculture was the largest contributors for TP load account for 47.3%.
本研究采用SWAT (Soil and Water Assessment Tool)模型,在考虑点源和非点源污染的情况下,模拟洞庭湖流域总磷和总氮的污染物负荷。将沙河口、汉守坡头和张树港水质监测站的水质监测数据与模拟结果进行了对比验证。采用Re、R2和E三个评价指标评价模型的可用性和适宜性。GIS空间分析结果显示,总磷和总氮负荷主要集中在湖泊附近,该湖泊由出水口直接入湖的子流域合并而成,面积达2.2万KM2。附近湖区的TP和TN污染物负荷分别占39.6%和45.2%。湘江区是第二大区域,分别占总磷的13.9%和12.5%。沅江区污染物负荷量最小。贡献率分析表明,农田径流和水产养殖是造成污染的关键因素。农田径流肥料对TN负荷的贡献最大,占总负荷的32.9%,水产养殖对TP负荷的贡献最大,占47.3%。