Landscape Controls on Coupled Water–Air Pollution in an Urbanized Watershed: A GeoSHAP Analysis of the Liaohe River Basin, China

Landscape pattern is closely associated with pollution in rapidly urbanizing watersheds, but most studies still focus on single pollutants or single environmental media. This study developed a watershed-based framework to compare coupled water and air pollution in the Liaohe River Basin, China. A total of 156 hydrologically connected sub-basins were used as common spatial units. Landscape metrics were calculated for 2000, 2010, and 2020. Total nitrogen and total phosphorus loads were simulated using the Soil and Water Assessment Tool, while annual mean PM2.5 and O3 concentrations were aggregated from gridded products to the same sub-basin scale. Coupling coordination degree was used to identify relative co-pollution patterns within the aquatic and atmospheric systems. GeoXGBoost with spatial block cross-validation was used to evaluate predictive performance, and GeoSHAP was used to interpret model-based predictor contributions. The aquatic coupled pollution index was predicted more accurately than the atmospheric index, indicating a stronger landscape association with nutrient coupling. Cropland proportion was the most stable predictor of aquatic coupling, whereas forest proportion was the most stable predictor of atmospheric coupling. These results suggest that water-oriented management should focus on cropland structure and ecological buffering, while air-oriented management should emphasize forest continuity and fragmentation control. The framework provides a spatially explicit basis for differentiated watershed management and territorial spatial planning.

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Publication Details

Journal
Water
Published
2026-05-17
DOI
https://doi.org/10.3390/w18101212
Primary Topic
Soil and Water Nutrient Dynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Landscape Controls on Coupled Water–Air Pollution in an Urbanized Watershed: A GeoSHAP Analysis of the Liaohe River Basin, China

Tingshuang Zhang, Sixue Shi, Miao Liu
Water
Soil and Water Nutrient Dynamics
article

Landscape Controls on Coupled Water–Air Pollution in an Urbanized Watershed: A GeoSHAP Analysis of the Liaohe River Basin, China

Tingshuang Zhang, Sixue Shi, Miao Liu
article en

Abstract

Landscape pattern is closely associated with pollution in rapidly urbanizing watersheds, but most studies still focus on single pollutants or single environmental media. This study developed a watershed-based framework to compare coupled water and air pollution in the Liaohe River Basin, China. A total of 156 hydrologically connected sub-basins were used as common spatial units. Landscape metrics were calculated for 2000, 2010, and 2020. Total nitrogen and total phosphorus loads were simulated using the Soil and Water Assessment Tool, while annual mean PM2.5 and O3 concentrations were aggregated from gridded products to the same sub-basin scale. Coupling coordination degree was used to identify relative co-pollution patterns within the aquatic and atmospheric systems. GeoXGBoost with spatial block cross-validation was used to evaluate predictive performance, and GeoSHAP was used to interpret model-based predictor contributions. The aquatic coupled pollution index was predicted more accurately than the atmospheric index, indicating a stronger landscape association with nutrient coupling. Cropland proportion was the most stable predictor of aquatic coupling, whereas forest proportion was the most stable predictor of atmospheric coupling. These results suggest that water-oriented management should focus on cropland structure and ecological buffering, while air-oriented management should emphasize forest continuity and fragmentation control. The framework provides a spatially explicit basis for differentiated watershed management and territorial spatial planning.

WaterVol. 18(10)
Chinese Academy of Sciences (CN), Institute of Applied Ecology (CN)
Natural Science Foundation of Liaoning Province
Sustainable cities and communities
Openalex Percentile: Top 8%
Soil and Water Nutrient Dynamics
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