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Potential Risk Identification of Agricultural Nonpoint Source Pollution: A Case Study of Yichang City, Hubei Province

文献类型： 外文期刊

作者： Yang, Jinfeng 1 ; Wang, Xuelei 2 ; Li, Xinrong 1 ; Tian, Zhuang 1 ; Zou, Guoyuan 1 ; Du, Lianfeng 1 ; Guo, Xuan 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Inst Plant Nutr Resources & Environm, Beijing 100097, Peoples R China

2.Minist Ecol & Environm, Satellite Applicat Ctr Ecol & Environm, Beijing 100094, Peoples R China

关键词： agricultural nonpoint source pollution; index system; potential risk identification; critical source region

期刊名称：SUSTAINABILITY （ 影响因子：3.9； 五年影响因子：4.0 ）

ISSN：

年卷期： 2023 年 15 卷 23 期

页码：

收录情况： SCI

摘要： Potential risk identification of agricultural nonpoint source pollution (ANPSP) is essential for pollution control and sustainable agriculture. Herein, we propose a novel method for potential risk identification of ANPSP via a comprehensive analysis of risk sources and sink factors. A potential risk assessment index system (PRAIS) was established. The proposed method was used to systematically evaluate the potential risk level of ANPSP of Yichang City, Hubei Province. The potential risk of ANPSP in Yichang City was 18.86%. High-risk areas account for 4.95% and have characteristics such as high nitrogen and phosphorus application rates, large soil erosion factors, and low vegetation coverage. Compared with the identification results of the Diffuse Pollution estimation with the Remote Sensing (DPeRS) model, the area difference of the same risk level calculated by the PRAIS was reduced by 33.9% on average. This indicates that PRAIS has the same level of accuracy as the DPeRS model in identifying potential risks of ANPSP. Thus, a rapid and efficient identification system of potential risks of regional ANPSP was achieved.

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