Spatial variability of source contributions to nitrate in regional groundwater based on the positive matrix factorization and Bayesian model

Groundwater nitrate (NO3-) pollution has attracted widespread attention; however, accurately evaluating the sources of NO3- and their contribution patterns in regional groundwater is difficult in areas with multiple sources and complex hydrogeological conditions. In this study, 161 groundwater sampl...

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Veröffentlicht in:Journal of hazardous materials 2023-03, Vol.445, p.130569-130569, Article 130569
Hauptverfasser: Mao, Hairu, Wang, Guangcai, Liao, Fu, Shi, Zheming, Zhang, Hongyu, Chen, Xianglong, Qiao, Zhiyuan, Li, Bo, Bai, Yunfei
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container_end_page 130569
container_issue
container_start_page 130569
container_title Journal of hazardous materials
container_volume 445
creator Mao, Hairu
Wang, Guangcai
Liao, Fu
Shi, Zheming
Zhang, Hongyu
Chen, Xianglong
Qiao, Zhiyuan
Li, Bo
Bai, Yunfei
description Groundwater nitrate (NO3-) pollution has attracted widespread attention; however, accurately evaluating the sources of NO3- and their contribution patterns in regional groundwater is difficult in areas with multiple sources and complex hydrogeological conditions. In this study, 161 groundwater samples were collected from the Poyang Lake Basin for hydrochemical and dual NO3- isotope analyses to explore the sources of NO3- and their spatial contribution using the Positive Matrix Factorization (PMF) and Bayesian stable isotope mixing (MixSIAR) models. The results revealed that the enrichment of NO3- in groundwater was primarily attributed to sewage/manure (SM), which accounted for more than 50 %. The contributions of nitrogen fertilizer and soil organic nitrogen should also be considered. Groundwater NO3- sources showed obvious spatial differences in contributions. Regions with large contributions of SM (>90 %) were located in the southeastern part of the study area and downstream of Nanchang, which are areas with relatively high population density. Nitrogen fertilizer and soil organic nitrogen showed concentrated contributions in paddy soil in the lower reaches of the Gan and Rao Rivers, and these accumulations were mainly driven by the soil type, land use type, and topography. This study provides insight into groundwater NO3- contamination on a regional scale. [Display omitted] •Contributions and spatial pattern of NO3 sources were deciphered in a typical region.•Four contributors to groundwater NO3 were firstly quantified in Poyang Lake Basin.•More than 50% of groundwater NO3 content originates from sewage/manure.•Hydrogeological condition and human activities control spatial pattern of NO3 sources.
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In this study, 161 groundwater samples were collected from the Poyang Lake Basin for hydrochemical and dual NO3- isotope analyses to explore the sources of NO3- and their spatial contribution using the Positive Matrix Factorization (PMF) and Bayesian stable isotope mixing (MixSIAR) models. The results revealed that the enrichment of NO3- in groundwater was primarily attributed to sewage/manure (SM), which accounted for more than 50 %. The contributions of nitrogen fertilizer and soil organic nitrogen should also be considered. Groundwater NO3- sources showed obvious spatial differences in contributions. Regions with large contributions of SM (&gt;90 %) were located in the southeastern part of the study area and downstream of Nanchang, which are areas with relatively high population density. Nitrogen fertilizer and soil organic nitrogen showed concentrated contributions in paddy soil in the lower reaches of the Gan and Rao Rivers, and these accumulations were mainly driven by the soil type, land use type, and topography. This study provides insight into groundwater NO3- contamination on a regional scale. [Display omitted] •Contributions and spatial pattern of NO3 sources were deciphered in a typical region.•Four contributors to groundwater NO3 were firstly quantified in Poyang Lake Basin.•More than 50% of groundwater NO3 content originates from sewage/manure.•Hydrogeological condition and human activities control spatial pattern of NO3 sources.</description><identifier>ISSN: 0304-3894</identifier><identifier>EISSN: 1873-3336</identifier><identifier>DOI: 10.1016/j.jhazmat.2022.130569</identifier><identifier>PMID: 37055948</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Bayesian mixing model ; Groundwater nitrate ; Positive matrix factorization ; Source apportionment ; Spatial variability</subject><ispartof>Journal of hazardous materials, 2023-03, Vol.445, p.130569-130569, Article 130569</ispartof><rights>2022 Elsevier B.V.</rights><rights>Copyright © 2022 Elsevier B.V. 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subjects Bayesian mixing model
Groundwater nitrate
Positive matrix factorization
Source apportionment
Spatial variability
title Spatial variability of source contributions to nitrate in regional groundwater based on the positive matrix factorization and Bayesian model
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