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Updated: Sep 9, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Optimizing Small Water Bodies as a Nature-Based Solution for Mitigating Nitrogen Pollution.

He Duan1,2, Wangzheng Shen1,2, Qingsong Wang1,3

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Summary
This summary is machine-generated.

Small water bodies (SWBs) in China

Keywords:
nitrogen reductionnonpoint source pollutionpaddy fieldsmall wetlandvegetation

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Area of Science:

  • Environmental Science
  • Agricultural Science
  • Ecology

Background:

  • Small water bodies (SWBs) are crucial for nutrient cycling in agricultural landscapes.
  • Their large-scale nitrogen (N) removal capacity is not well understood.
  • Paddy fields are significant sources of N emissions.

Purpose of the Study:

  • To assess the N removal efficiency of SWBs in China's rice-growing regions.
  • To evaluate the potential of SWBs for mitigating N pollution from agriculture.
  • To identify optimal strategies for enhancing N removal by SWBs.

Main Methods:

  • Utilized an N removal model incorporating biogeochemical factors.
  • Analyzed data from 1.75 million SWBs (<0.33 ha) in Chinese rice-growing regions.
  • Assessed the impact of SWB distribution and macrophyte coverage on N removal.

Main Results:

  • SWBs potentially remove 169.97 kt N annually, 23.62% of national crop N emissions, with economic benefits of $1.68 billion USD.
  • A spatial mismatch exists between SWB distribution and N emission hotspots.
  • Targeted SWB increases in critical areas and enhanced macrophyte coverage (25-50%) can significantly improve N removal efficiency.

Conclusions:

  • Optimizing SWB distribution and increasing macrophyte coverage are effective nature-based solutions for N pollution.
  • Strategic placement of SWBs offers greater N removal efficiency than a uniform increase.
  • These strategies maximize ecological and economic benefits under land resource constraints.