| Title: | Non-point source pollution simulation and best management practices analysis based on control units in northern China |
| Authors: | Ding, Y., F. Dong, J. Zhao, W. Peng, Q. Chen and B. Ma |
| Year: | 2020 |
| Journal: | International Journal of Environmental Research and Public Health |
| Volume (Issue): | 17(3) |
| Pages: | |
| Article ID: | 868 |
| DOI: | 10.3390/ijerph17030868 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic and pollutant |
| Primary Application Category: | BMP and/or cropping system assessment |
| Secondary Application Category: | nutrient cycling/loss and transport |
| Watershed Description: | 724.6 km^2 Guishui River, located in Yonging District in Beijing Province in northeast China. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Abstract: | Non-point source (NPS) pollution simulation in control units can identify critical pollution source areas and make Best Management Practices (BMPs) more effective for the responsible parties. In this study, the control unit division method is introduced, and the spatial and temporal distribution characteristics of NPS pollution in the Guishui River Basin of Northern China are analyzed using the Soil Water Assessment Tool (SWAT) model. In addition, five BMP scenarios were designed for environmental and cost-benefit analyses. The results show that the loss of total nitrogen (TN) and total phosphorus (TP) is concentrated in the rainy season, and the loss of TN and TP is mainly distributed in the middle and lower reaches of the main stream of the Guishui River. This area accounts for 22.34% of the basin area. The vegetated filter strips (VFS) scenario had the best environmental benefits with average TN and TP reduction efficiencies of 63.4% and 62.6%, respectively. The Grassed Waterway was the most cost-effective scenario measure, cost-benefit (CE) values of TN and TP were 1798.13 g/€ and 601.56 g/€. Generally, research on NPS pollution using control units can more clearly identify the critical source areas of pollution than other methods, and provides technical support for watershed management decision makers. |
| Language: | English |
| Keywords: | control unit; non-point source pollution; SWAT; Best Management Practice |