Department of Environmental Engineering, College of Natural Resources and Environmental Science, Zhejiang University, Hangzhou 310029, China.
J Hazard Mater. 2010 Feb 15;174(1-3):824-30. doi: 10.1016/j.jhazmat.2009.09.127. Epub 2009 Sep 30.
Accelerated eutrophication and nutrient loads in the lakes are of major concern for human health and environment. This study was undertaken for modeling the non-point source pollution of Taihu lake basin in eastern China. The SWAT model having an interface in ArcView GIS was employed. Model sensitive parameters related to hydrology and water quality were obtained by sensitivity analysis, and then calibrated and validated by comparing model predictions with field data. The GIS showed good potential for parameterization of hill-slopes, channels, and representative slope profiles for SWAT model simulations. In a monthly and daily time step, the model's Nash-Sutcliffe coefficient (E) and the coefficient of determination (R(2)) indicated that values of simulated runoff, NH(4)(+)-N and total phosphorus were acceptably closer to the measured data. Surface water parameters especially CN, Soil-AWC and ESCO were the most sensitive and had more recognition in the model. It is concluded that runoff carrying N and P nutrients from chemical fertilizer inputs in agricultural areas is the major contributor to NPSP in the lake basin. So, decrease in excessive use of N and P fertilizers and their synergism with organic manures is recommended that would significantly reduce nutrient pollution in the lake ecosystem.
加速富营养化和营养负荷对人类健康和环境构成了重大威胁。本研究旨在建立中国东部太湖流域的非点源污染模型。该模型采用了具有 ArcView GIS 接口的 SWAT 模型。通过敏感性分析获得了与水文学和水质相关的模型敏感参数，然后通过将模型预测与现场数据进行比较来校准和验证。GIS 显示出了为 SWAT 模型模拟参数化山坡、渠道和代表性坡度剖面的良好潜力。在每月和每日的时间步长中，模型的纳什-苏特克利夫系数 (E) 和决定系数 (R(2)) 表明，模拟径流、NH(4)(+)-N 和总磷的数值与实测数据非常接近。地表水参数，特别是 CN、土壤 AW 和 ESCO 是最敏感的，在模型中得到了更多的认可。研究结论认为，农业地区化肥输入所携带的氮和磷养分是造成湖泊流域非点源污染的主要原因。因此，建议减少过量使用氮和磷肥料及其与有机肥料的协同作用，这将显著减少湖泊生态系统的营养污染。
