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Identification of priority management areas for non-point source pollution based on critical source areas in an agricultural watershed of Northeast China.
Zuo, Depeng; Han, Yuna; Gao, Xiaoxi; Ma, Guangwen; Xu, Zongxue; Bi, Yiqing; Abbaspour, Karim C; Yang, Hong.
Afiliação
  • Zuo D; College of Water Sciences, Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing Normal University, Beijing, 100875, China. Electronic address: dpzuo@bnu.edu.cn.
  • Han Y; College of Water Sciences, Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing Normal University, Beijing, 100875, China.
  • Gao X; College of Water Sciences, Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing Normal University, Beijing, 100875, China. Electronic address: xxgao@mail.bnu.edu.cn.
  • Ma G; State Environment Protection Key Laboratory of Environmental Monitoring Quality Control, China National Environmental Monitoring Centre, Beijing 100012, China.
  • Xu Z; College of Water Sciences, Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing Normal University, Beijing, 100875, China.
  • Bi Y; College of Water Sciences, Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing Normal University, Beijing, 100875, China.
  • Abbaspour KC; 2w2e Environmental Consulting GmbH, Mettlenweg 3, Dübendorf 8600, Zürich, Switzerland.
  • Yang H; Eawag, Swiss Federal Institute of Aquatic Science and Technology, P.O. Box 611, Dübendorf 8600, Zürich, Switzerland.
Environ Res ; 214(Pt 2): 113892, 2022 11.
Article em En | MEDLINE | ID: mdl-35863450
ABSTRACT
Identification of critical source areas (CSAs) for non-point source (NPS) pollution is of great significance for environment governance and prevention. However, the CSAs are generally characterized as great spatial dispersion, and spatially heterogeneous precipitation has a great influence on the spatial distribution of nutrient yields. Therefore, we identify the CSAs for nutrient yields in an agricultural watershed of Northeast China at hydrological response units (HRUs) scale based on the Soil and Water Assessment Tool (SWAT), assess the impacts of spatially heterogeneity of precipitation on the identification of the CSAs, analyze the sensitivity of nutrient yields to precipitation by scenarios analysis method, and further identify priority management areas (PMAs) that have poor ability to retain nutrients. The results showed that the CSAs for nutrient yields identified by uniform precipitation showed greater fluctuation range and coverage area than actual precipitation; the major prevention areas of total nitrogen (TN) yield were mainly distributed in regions nearby main stem of lower reaches, while that of total phosphorus (TP) yield were mostly located in urban area nearby outlet of the watershed; the identification of the PMAs significantly decreased the CSAs for TN yield, whereas that for TP yield was no significant difference with the CSAs. This study could provide scientific guidance for the NPS pollution governance and prevention.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Poluição Difusa Tipo de estudo: Diagnostic_studies País/Região como assunto: Asia Idioma: En Revista: Environ Res Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Poluição Difusa Tipo de estudo: Diagnostic_studies País/Região como assunto: Asia Idioma: En Revista: Environ Res Ano de publicação: 2022 Tipo de documento: Article