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Updated: Sep 9, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
Optimizing Small Water Bodies as a Nature-Based Solution for Mitigating Nitrogen Pollution
He Duan1,2, Wangzheng Shen1,2, Qingsong Wang1,3
1Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Jianghan Plain-Honghu Lake Station for Wetland Ecosystem Research, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China.
Abstract:
Despite the widely acknowledged importance of small water bodies (SWBs), their large-scale capacity for nitrogen (N) removal in agricultural landscapes remains poorly understood. This study assessed the N removal efficiency and potential of 1.75 million SWBs (<0.33 ha) in China's rice-growing regions, using an N removal model incorporating key biogeochemical factors. Collectively, these SWBs potentially remove approximately 169.97 kt N y-1 from paddy runoff, equivalent to 23.62% of national crop N emissions, yielding an estimated economic benefit of 1.68 billion USD. However, a spatial mismatch between SWB distribution and N emission hotspots hampers the current efficiency, as 23.04% of paddy fields have high N loads but limited SWBs. Increasing SWBs in these critical areas shows better N removal efficiency than a nationwide increase strategy under land resource constraints. Specifically, increasing SWBs from the current 1.08-1.23% of the rice region achieves the most cost-effective 20.96% increase in N removal. Increasing macrophyte coverage in these SWBs to 25-50% could further augment N removal by 5.98-10.58%. This study highlights SWB spatial optimization and macrophyte manipulation as viable strategies to maximize ecological and economic benefits under resource constraints, offering a nature-based solution for N pollution.
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