A Risk Assessment Method for Phosphorus Loss in Intensive Agricultural Areas—A Case Study in Henan Province, China

Linlin Gao, Yong Wu (), Ling Li, Chi Sun, Donghao Li and Xueke Liu
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Linlin Gao: College of Resources and Environment, Henan Agricultural University, Zhengzhou 450002, China
Yong Wu: College of Resources and Environment, Henan Agricultural University, Zhengzhou 450002, China
Ling Li: College of Resources and Environment, Henan Agricultural University, Zhengzhou 450002, China
Chi Sun: College of Civil Engineering, Zhengzhou University of Technology, Zhengzhou 450044, China
Donghao Li: College of Resources and Environment, Henan Agricultural University, Zhengzhou 450002, China
Xueke Liu: College of Resources and Environment, Henan Agricultural University, Zhengzhou 450002, China

Agriculture, 2024, vol. 14, issue 10, 1-16

Abstract: Agricultural phosphorus (P) loss constitutes a significant factor in agricultural non-point source pollution (ANSP). Due to the widespread occurrence and complexity of ANSP, emphasis on risk prevention and control is preferable to retroactive treatment, to reduce costs. Effective risk identification is an issue that needs to be addressed urgently. Henan Province, a typical intensive agricultural region in China, was used as a case study to develop a straightforward and precise model for assessing the risk of P loss. Total phosphorus (TP) emission intensity at the county level in Henan Province was estimated based on planting, livestock and poultry breeding, and rural domestic activities. Subsequently, influential factors were selected to determine the extent of P loss in rivers. Finally, the model was validated using water quality data. The results indicate that (1) TP emission and rainfall are the primary contributors to the risk of P loss, whereas vegetation coverage has negligible effects. (2) The primary sources of TP emission, in descending order of magnitude, are livestock and poultry breeding, rural domestic activities, and planting. Livestock and poultry breeding represents the largest proportion at approximately 50%. (3) High-risk areas for P loss are concentrated in the plains of the central, eastern, and northern Henan Province, while low-risk areas are mainly located in the western mountainous and hilly regions. (4) The model exhibits high accuracy with a determination coefficient (R 2 ) of 0.81 when compared to surface water quality monitoring data. This study provides a new framework for assessing the risk of P loss in intensive agricultural settings.

Keywords: phosphorus loss; agricultural non-point source pollution; risk assessment; analytic hierarchy process; entropy method (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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