Modeling the impact of legacy nitrogen accumulated in agricultural soil-groundwater on water quality improvement (Page 1)  
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Modeling the impact of legacy nitrogen accumulated in agricultural soil-groundwater on water quality improvement

Nitrogen (N) legacy effects are widely recognized as a primary obstacle to the improvements of water quality following mitigation efforts. The exploration of long-term nutrient trajectories for nitrogen model (ELEMeNT-N) has been applied to estimate legacy effects in several watersheds globally. However, ELEMeNT-N does not account for the accumulation-release processes of nitrate within soil profile, introducing potential uncertainty in long-term simulations. This study enhances ELEMeNT-N by incorporating a soil nitrate accumulation coefficient and a deep soil nitrate cycling module to better assess the long-term impact of legacy N on water quality. Long-term simulation for riverine N flux in the Yongan watershed, China (1980–2022) indicate that the modified model, ELEMeNT-N-SP, demonstrated significantly improved performance relative to the original model (Nash–Sutcliff coefficient: 0.89 vs 0.72, R2: 0.89 vs. 0.71). ELEMeNT-N-SP results indicate that ∼39.5% of N input accumulated in soil and groundwater, mainly in agricultural soil-groundwater. Legacy N contributed to 81.7% (Temporal: 65.6%–92.0%; i.e. cumulative contributions of historical N inputs) of riverine N flux (466 kg N ha−1). Among 12 modeling units, legacy N accumulation (SON: 175–1083 kg N ha−1; soil nitrate: −11–259 kg N ha−1; groundwater: 147–656 kg N ha−1) and its contribution to riverine N flux (Spatial: 64.0%–85.5%) showed considerable spatial heterogeneity. Agricultural soil-groundwater served as the primary accumulation sink for N input and the important source of riverine N pollution. Model validation, which included comparisons with monitored soil-groundwater N content and dual stable isotope data, confirmed the reliability of ELEMeNT-N-SP. ELEMeNT-N-SP offers a valuable framework for improving watershed nutrient management globally, emphasizing the importance of incorporating soil N cycling dynamics into predictive tools.

Keywords: nitrogen, nutrient legacy effect, soil nutrients, groundwater pollution, nutrient leaching, lag time, nonpoint source pollution

Author(s)Zhou, J, Jiao X, Wu H, Zhang Y, Pan Z, Pan Y, Zhang Z, Cheng Z, Hu M, Zhang Q, and Chen D
IAN Author(s)Qian Zhang
PublisherIOP Publishing Ltd
Journal / BookEnvironmental Research Letters 20 (084008)
Year2025
TypePaper | Journal Article
Location(s)China
Number of Pages18
Link https://doi.org/10.1088/1748-9326/ade7a3