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<p>As a middle-reach basin of the Yellow River Basin(YRB), the Weihe River Basin (WRB) suffers from serious soil erosion and prominent Non-point source (NPS) pollution, making its ecological and environmental issues a major concern. Exploreing the link between land use change and nitrogen NPS pollution is critical. We characterized spatiotemporal land use changes in the WRB from 2000 to 2020 using multi-temporal remote sensing imagery across three dimensions: quantity, structure, and morphology. We then used the SWAT model to simulate the spatiotemporal dynamics of TN loads during the same period. Finally, spatial statistics and correlation analysis were used to clarify the relationship of nitrogen NPS pollution loads to multidimensional land use changes. The results show that TN load correlates positively with cropland and negatively with woodland and grassland. Moreover, the conversion of cropland to these land use types is negatively associated with TN load. Cropland distribution patterns that are more regular, more fragmented, and less spatially connected tend to minimize overall nitrogen burdens; in contrast, woodland regions have the opposite effect. Because grasslands have distinct topographical features, the combined effects of FRAC_MN, COHESION, and DIVISION help lower pollutant concentrations. These findings offer a scientific basis for managing nitrogen NPS pollution in the WRB, while also supporting ecological initiatives such as the Grain for Green Project and high-standard farmland construction.</p>

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Linking non-point source nitrogen pollution and land use quantity, structure, and morphology in the Weihe River Basin

  • 期刊论文

  • 发表日期：

    2026年7月27日

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  • Jiayi Li,
  • Yanfei Yu,
  • Yifan Hou,
  • Han Li,
  • Min Min

摘要

As a middle-reach basin of the Yellow River Basin(YRB), the Weihe River Basin (WRB) suffers from serious soil erosion and prominent Non-point source (NPS) pollution, making its ecological and environmental issues a major concern. Exploreing the link between land use change and nitrogen NPS pollution is critical. We characterized spatiotemporal land use changes in the WRB from 2000 to 2020 using multi-temporal remote sensing imagery across three dimensions: quantity, structure, and morphology. We then used the SWAT model to simulate the spatiotemporal dynamics of TN loads during the same period. Finally, spatial statistics and correlation analysis were used to clarify the relationship of nitrogen NPS pollution loads to multidimensional land use changes. The results show that TN load correlates positively with cropland and negatively with woodland and grassland. Moreover, the conversion of cropland to these land use types is negatively associated with TN load. Cropland distribution patterns that are more regular, more fragmented, and less spatially connected tend to minimize overall nitrogen burdens; in contrast, woodland regions have the opposite effect. Because grasslands have distinct topographical features, the combined effects of FRAC_MN, COHESION, and DIVISION help lower pollutant concentrations. These findings offer a scientific basis for managing nitrogen NPS pollution in the WRB, while also supporting ecological initiatives such as the Grain for Green Project and high-standard farmland construction.