干旱区生态环境知识资源中心(Arid): Integrating multivariate hydrogeochemical analysis with human health risk assessment: An inverse geochemical and statistical modeling approach

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DOI	10.1016/j.gexplo.2024.107389
	Integrating multivariate hydrogeochemical analysis with human health risk assessment: An inverse geochemical and statistical modeling approach
	Sidhu, Neelam; Kaur, Lakhvinder; Rishi, Madhuri S.; Din, Syed Nasir U.; Tewari, Karan; Singh, Paramjit
通讯作者	Rishi, MS
来源期刊	JOURNAL OF GEOCHEMICAL EXPLORATION
ISSN	0375-6742
EISSN	1879-1689
出版年	2024
卷号	258
英文摘要	Chandigarh, an urban center meticulously planned in India, partially relies on groundwater for its water supply. However, rapid urbanization, geological heterogeneity, and anthropogenic actions have elevated the significance of ensuring water quality. This research employs advanced methodologies including inverse geochemical modeling through PHREEQC, multivariate statistics, and the Nemerow Pollution Index (NPI) to discern the governing factors influencing water quality. Furthermore, a human health risk assessment evaluates the potential non-carcinogenic impacts of NO3- and F- on human health. Results indicate during PRM (pre-monsoon), 90 % of shallow aquifer samples exceed an NPI value of 1.0, denoting water impurities. In POM (post-monsoon), 70 % of both shallow and deep groundwater samples surpass this threshold. Approximately 70 % of PRM deep groundwater samples and 75 % in POM exhibit hard water characteristics. Hydrogeochemistry is primarily influenced by rock-water interactions, corroborated by Gibb's diagram and negative values of chloro-alkaline indices (CAI-I and CAI-II) indicating cation exchange reactions. Piper's plot illustrates a prevailing Ca-Mg-HCO3 hydrochemical facies, with oversaturation of calcite, dolomite, aragonite, and fluorite at varying depths. Saturation indices (SI) affirm calcite oversaturation, implying CaCO3 precipitation and CaF2 dissolution. Additionally, 33 % of PRM and 52.4 % of POM shallow groundwater samples indicate carbonate weathering's influence on mineral content. Principal Component Analysis (PCA) and Pearson's correlation demonstrate contributions from irrigation return flows and anthropogenic activities alongside geogenic factors, enriching Na+, SO42-, NO3-, and Cl concentrations. The combined statistical and geochemical models offer a comprehensive insight into groundwater geochemistry which will help the policy makers and municipality to manage groundwater resources effectively in the area.
英文关键词	Hydrogeochemistry Inverse geochemical modeling Drinking water quality Human health risk assessment Chemometric analysis
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001166821800001
WOS关键词	GROUNDWATER NITRATE CONTAMINATION ; DRINKING-WATER ; ALLUVIAL AQUIFER ; ARID REGION ; FLUORIDE ; QUALITY ; DISTRICT ; AREA ; KARNATAKA ; LEACHATE
WOS类目	Geochemistry & Geophysics
WOS研究方向	Geochemistry & Geophysics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404517
推荐引用方式 GB/T 7714	Sidhu, Neelam,Kaur, Lakhvinder,Rishi, Madhuri S.,et al. Integrating multivariate hydrogeochemical analysis with human health risk assessment: An inverse geochemical and statistical modeling approach[J],2024,258.
APA	Sidhu, Neelam,Kaur, Lakhvinder,Rishi, Madhuri S.,Din, Syed Nasir U.,Tewari, Karan,&Singh, Paramjit.(2024).Integrating multivariate hydrogeochemical analysis with human health risk assessment: An inverse geochemical and statistical modeling approach.JOURNAL OF GEOCHEMICAL EXPLORATION,258.
MLA	Sidhu, Neelam,et al."Integrating multivariate hydrogeochemical analysis with human health risk assessment: An inverse geochemical and statistical modeling approach".JOURNAL OF GEOCHEMICAL EXPLORATION 258(2024).