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Non-Point Source Pollution Simulation and Best Management Practices Analysis Based on Control Units in Northern China

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 cha...

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Autores principales: Ding, Yang, Dong, Fei, Zhao, Jinyong, Peng, Wenqi, Chen, Quchang, Ma, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037404/
https://www.ncbi.nlm.nih.gov/pubmed/32019200
http://dx.doi.org/10.3390/ijerph17030868
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author Ding, Yang
Dong, Fei
Zhao, Jinyong
Peng, Wenqi
Chen, Quchang
Ma, Bing
author_facet Ding, Yang
Dong, Fei
Zhao, Jinyong
Peng, Wenqi
Chen, Quchang
Ma, Bing
author_sort Ding, Yang
collection PubMed
description 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.
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spelling pubmed-70374042020-03-11 Non-Point Source Pollution Simulation and Best Management Practices Analysis Based on Control Units in Northern China Ding, Yang Dong, Fei Zhao, Jinyong Peng, Wenqi Chen, Quchang Ma, Bing Int J Environ Res Public Health Article 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. MDPI 2020-01-30 2020-02 /pmc/articles/PMC7037404/ /pubmed/32019200 http://dx.doi.org/10.3390/ijerph17030868 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ding, Yang
Dong, Fei
Zhao, Jinyong
Peng, Wenqi
Chen, Quchang
Ma, Bing
Non-Point Source Pollution Simulation and Best Management Practices Analysis Based on Control Units in Northern China
title Non-Point Source Pollution Simulation and Best Management Practices Analysis Based on Control Units in Northern China
title_full Non-Point Source Pollution Simulation and Best Management Practices Analysis Based on Control Units in Northern China
title_fullStr Non-Point Source Pollution Simulation and Best Management Practices Analysis Based on Control Units in Northern China
title_full_unstemmed Non-Point Source Pollution Simulation and Best Management Practices Analysis Based on Control Units in Northern China
title_short Non-Point Source Pollution Simulation and Best Management Practices Analysis Based on Control Units in Northern China
title_sort non-point source pollution simulation and best management practices analysis based on control units in northern china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037404/
https://www.ncbi.nlm.nih.gov/pubmed/32019200
http://dx.doi.org/10.3390/ijerph17030868
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