Preprints
https://doi.org/10.5194/egusphere-2025-5482
https://doi.org/10.5194/egusphere-2025-5482
14 Nov 2025
 | 14 Nov 2025
Status: this preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).

Impact of burial conditions on NO3--N source apportionment in groundwater: Insights from PCA-APCS-MLR and MixSIAR methods

Yang Liu, Jian Luo, Yajie Wu, Ziyang Zhang, Xilai Zheng, and Tianyuan Zheng

Abstract. NO3--N contamination in groundwater poses a significant threat to drinking water safety and ecosystem health, with accurate source identification being crucial for effective pollution control. Previous studies on NO3--N source apportionment in groundwater have largely neglected aquifer burial conditions. In this study, groundwater samples from aquifers with varying burial conditions were collected and analyzed using an integrated approach combining hydrochemical analysis (PCA-APCS-MLR) and stable isotope mixing modeling (MixSIAR) to identify and quantify NO3--N pollution sources. The results demonstrate that NO3--N concentrations in 75 % of the groundwater samples exceeded the WHO drinking water standard. PCA-APCS-MLR analysis revealed that the dominant NO3--N sources in unconfined groundwater and confined groundwater were chemical fertilizers (52.5 %) and manure & sewage (53.9 %), respectively. The MixSIAR model further identified soil nitrogen (58 %) and manure & sewage (37.9 %) as the primary contributors to NO3--N in unconfined and confined groundwater, respectively. These findings suggest that unconfined groundwater in regions with high soil nitrogen reserves is at persistent risk of NO3--N contamination. In addition, neglecting aquifer burial conditions would introduce absolute errors of 22 %–24 % in source apportionment results obtained from both PCA-APCS-MLR and MixSIAR approaches. This study highlights that aquifer confinement must be rigorously considered as a critical factor in NO3--N source identification and pollution control strategies to enhance the accuracy of source apportionment and the effectiveness of management measures.

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Yang Liu, Jian Luo, Yajie Wu, Ziyang Zhang, Xilai Zheng, and Tianyuan Zheng

Status: open (until 26 Dec 2025)

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Yang Liu, Jian Luo, Yajie Wu, Ziyang Zhang, Xilai Zheng, and Tianyuan Zheng
Yang Liu, Jian Luo, Yajie Wu, Ziyang Zhang, Xilai Zheng, and Tianyuan Zheng

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Short summary
The accurate identification of NO3--N pollution sources are pivotal to the assessment of groundwater pollution risks. However, current studies on NO3--N source apportionment simplifies complex multi-layer aquifer systems into single-layer models without accounting for the impact of burial conditions. We quantitatively identify the sources of NO3--N under different burial conditions, and we define the error in the analysis of NO3--N sources apportionment without considering burial conditions.
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