High spatiotemporal resolution process-based model revealed an aggravated nitrogen legacy-related water pollution risk in a large basin: spatio-seasonal patterns, drivers, and management opportunities

Legacy nitrogen, i.e., long-term nitrogen storage in landscapes, poses a formidable water environmental management challenge due to its ongoing threats to surface water quality, considerable magnitude, and dispersed spatial distribution. A comprehensive understanding of legacy nitrogen and its impacts on water quality at broader, finer spatiotemporal scales is crucial for legacy-related water pollution control and eco-environment sustainable development. Here, we developed a process-based model system with high spatiotemporal resolution to generate seasonal maps of legacy nitrogen in soils ( N leg _ soi ) and groundwater ( N leg _ gr ) for the Songhuajiang River basin during 1978–2020. The model revealed an upswing in seasonal legacy nitrogen storage, with increases of approximately 1.4- to 3.6-fold. Legacy hotspots covering 10% of the basin area contributed approximately 38–67% of total legacy nitrogen storage, implying markedly uneven spatial distribution of legacy nitrogen. N leg _ soi showed higher sensitivity to anthropic factors, while N leg _ gr was more sensitive to natural factors. With increasing legacy effects over time, legacy nitrogen was responsible for approximately 48–73% of seasonal riverine nitrogen loading. A combination of livestock-crop-human coupled system, fossil fuel use reduction, and soil and manure management can effectively abate legacy-related water pollution.

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Publication Details

Journal
Ecological Indicators
Published
2026-07-25
DOI
https://doi.org/10.1016/j.ecolind.2026.115260
Primary Topic
Soil and Water Nutrient Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

High spatiotemporal resolution process-based model revealed an aggravated nitrogen legacy-related water pollution risk in a large basin: spatio-seasonal patterns, drivers, and management opportunities

Wei Zhan, Jiaxin Cao, Yiming Liu, Tianrui Zhao et al.
Ecological Indicators
Soil and Water Nutrient Dynamics
article

High spatiotemporal resolution process-based model revealed an aggravated nitrogen legacy-related water pollution risk in a large basin: spatio-seasonal patterns, drivers, and management opportunities

Wei Zhan, Jiaxin Cao, Yiming Liu, Tianrui Zhao, Li Li, Yedong Gao, Y Tian, Maosheng Wei, Nanqi Ren, Fengyong Zhu
article en

Abstract

Legacy nitrogen, i.e., long-term nitrogen storage in landscapes, poses a formidable water environmental management challenge due to its ongoing threats to surface water quality, considerable magnitude, and dispersed spatial distribution. A comprehensive understanding of legacy nitrogen and its impacts on water quality at broader, finer spatiotemporal scales is crucial for legacy-related water pollution control and eco-environment sustainable development. Here, we developed a process-based model system with high spatiotemporal resolution to generate seasonal maps of legacy nitrogen in soils ( N leg _ soi ) and groundwater ( N leg _ gr ) for the Songhuajiang River basin during 1978–2020. The model revealed an upswing in seasonal legacy nitrogen storage, with increases of approximately 1.4- to 3.6-fold. Legacy hotspots covering 10% of the basin area contributed approximately 38–67% of total legacy nitrogen storage, implying markedly uneven spatial distribution of legacy nitrogen. N leg _ soi showed higher sensitivity to anthropic factors, while N leg _ gr was more sensitive to natural factors. With increasing legacy effects over time, legacy nitrogen was responsible for approximately 48–73% of seasonal riverine nitrogen loading. A combination of livestock-crop-human coupled system, fossil fuel use reduction, and soil and manure management can effectively abate legacy-related water pollution.

Ecological IndicatorsVol. 189
Harbin Institute of Technology (CN), Goldwind (China) (CN), Beijing Municipal Ecology and Environment Bureau (CN), Collaborative Innovation Center of Chemical Science and Engineering Tianjin (CN), Liaocheng People's Hospital (CN)
National Natural Science Foundation of China, Harbin Institute of Technology, State Key Laboratory of Urban Water Resource and Environment
Openalex Percentile: Top 15%
Soil and Water Nutrient Dynamics
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