环境科学
分水岭
非点源污染
降水
农业
营养物
水土评价工具
营养管理
水文学(农业)
污染
磷
水质
水资源管理
流域
地理
气象学
生态学
计算机科学
生物
材料科学
冶金
岩土工程
考古
水流
工程类
机器学习
地图学
作者
Depeng Zuo,Yuna Han,Xiaoxi Gao,Guangwen Ma,Zongxue Xu,Yiqing Bi,Karim C. Abbaspour,Hong Yang
标识
DOI:10.1016/j.envres.2022.113892
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI