From source emission quantification to riverine load attribution: Systematic tracing of nitrogen flow in the complex river catchment to inform management strategy

• Develop a load attribution framework integrating emission inventory, process model, and scenario analysis. • Construct a high-resolution N emission inventory for point and non-point sources in WRB (2015–2020). • Emission inventory and riverine loads yield different N management recommendations. • Provide targeted, time- and space-specific control measures based on TN load attribution. Understanding the complete nitrogen (N) transport processes, from land-based emissions to riverine loads at specific site, is essential for effective watershed N management. However, attributing total nitrogen (TN) loads remains a challenge due to the interplay of multiple pollution sources and complex hydrological transport mechanisms. This study presents an integrated framework that combines an emission inventory, a watershed process model, and scenario analysis to trace N fluxes and quantify TN load contributions in the Wei River Basin (WRB), China. A high-resolution emission inventory was constructed at county, grid, and sub-basin levels, covering seven key pollution sources from 2015 to 2020. A watershed N fate model was developed and validated using multiple datasets to establish the relationships between emissions from both point and non-point sources and the resultant N loads. Scenario analysis was then employed to apportion TN loads to their respective sources. Comparisons between two source attribution approaches—one relying solely on inventory-based emissions and the other incorporating source-load response dynamics—revealed distinct implications for watershed management. The emission inventory identified livestock and poultry breeding (LPB) and chemical fertilizer (FER) as the dominant N sources, concentrated primarily in the upper and middle reaches of the WRB. However, source-load response analysis indicated that point-source discharges from LPB, along with urban and rural domestic wastewater, were the primary contributors to riverine TN loads. The overall TN contribution hierarchy was determined as follows: rural domestic sewage (29.4 %) > urban domestic sewage (26.4 %) > soil N (18.2 %) > LPB point-source discharge (17.6 %) > LPB manure fertilizer (6.04 %) > nitrogen fertilizer (1.61 %) > atmospheric deposition (0.691 %) > industrial wastewater treatment (0.006 %). Seasonal variations in TN loads were significant, with a sharp increase during the summer monsoon due to the enhanced non-point source runoff and the mobilization of soil N pools. Conversely, during winter and spring, steady point-source discharges from domestic wastewater dominated due to intermittent tributary flow. Furthermore, our findings suggest that reducing soil N inputs may have limited immediate impact on mitigating riverine TN pollution, as large soil N reservoirs and delayed non-point source responses hinder short-term effectiveness. These insights underscore the need for long-term, integrated watershed management strategies to effectively control TN pollution and improve water quality in the WRB and comparable river systems.

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Publication Details

Journal
Ecological Indicators
Published
2025-08-12
DOI
https://doi.org/10.1016/j.ecolind.2025.113951
Primary Topic
Soil and Water Nutrient Dynamics
Type
article
Field-Weighted Citation Impact
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article

From source emission quantification to riverine load attribution: Systematic tracing of nitrogen flow in the complex river catchment to inform management strategy

Bolun Zhang, Xiaoli Zhao, Junhong Ling, Siyuan Zhang et al.
Ecological Indicators
Soil and Water Nutrient Dynamics
article

From source emission quantification to riverine load attribution: Systematic tracing of nitrogen flow in the complex river catchment to inform management strategy

Bolun Zhang, Xiaoli Zhao, Junhong Ling, Siyuan Zhang, Wenjing Li, Lingling Liu, Lingfeng Zhou
article en

Abstract

• Develop a load attribution framework integrating emission inventory, process model, and scenario analysis. • Construct a high-resolution N emission inventory for point and non-point sources in WRB (2015–2020). • Emission inventory and riverine loads yield different N management recommendations. • Provide targeted, time- and space-specific control measures based on TN load attribution. Understanding the complete nitrogen (N) transport processes, from land-based emissions to riverine loads at specific site, is essential for effective watershed N management. However, attributing total nitrogen (TN) loads remains a challenge due to the interplay of multiple pollution sources and complex hydrological transport mechanisms. This study presents an integrated framework that combines an emission inventory, a watershed process model, and scenario analysis to trace N fluxes and quantify TN load contributions in the Wei River Basin (WRB), China. A high-resolution emission inventory was constructed at county, grid, and sub-basin levels, covering seven key pollution sources from 2015 to 2020. A watershed N fate model was developed and validated using multiple datasets to establish the relationships between emissions from both point and non-point sources and the resultant N loads. Scenario analysis was then employed to apportion TN loads to their respective sources. Comparisons between two source attribution approaches—one relying solely on inventory-based emissions and the other incorporating source-load response dynamics—revealed distinct implications for watershed management. The emission inventory identified livestock and poultry breeding (LPB) and chemical fertilizer (FER) as the dominant N sources, concentrated primarily in the upper and middle reaches of the WRB. However, source-load response analysis indicated that point-source discharges from LPB, along with urban and rural domestic wastewater, were the primary contributors to riverine TN loads. The overall TN contribution hierarchy was determined as follows: rural domestic sewage (29.4 %) > urban domestic sewage (26.4 %) > soil N (18.2 %) > LPB point-source discharge (17.6 %) > LPB manure fertilizer (6.04 %) > nitrogen fertilizer (1.61 %) > atmospheric deposition (0.691 %) > industrial wastewater treatment (0.006 %). Seasonal variations in TN loads were significant, with a sharp increase during the summer monsoon due to the enhanced non-point source runoff and the mobilization of soil N pools. Conversely, during winter and spring, steady point-source discharges from domestic wastewater dominated due to intermittent tributary flow. Furthermore, our findings suggest that reducing soil N inputs may have limited immediate impact on mitigating riverine TN pollution, as large soil N reservoirs and delayed non-point source responses hinder short-term effectiveness. These insights underscore the need for long-term, integrated watershed management strategies to effectively control TN pollution and improve water quality in the WRB and comparable river systems.

Ecological IndicatorsVol. 178
Zhejiang A & F University (CN), Chinese Research Academy of Environmental Sciences (CN)
Openalex Percentile: Top 82%
Soil and Water Nutrient Dynamics
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