Content area

Abstract

Effective monitoring and assessment of groundwater quality are essential for sustainable resource management in arid regions. This study investigates the hydrogeochemical variability and environmental risks associated with groundwater in the Neyshabur Plain, northeastern Iran, as a semi-arid basin under climatic pressures. To clarify spatial variability, the study distinguishes between groundwater inside the main aquifer, representing extraction zones, and outside areas that mainly serve as recharge regions. This separation improves the interpretation of quality patterns and management strategies. A total of 1137 groundwater samples were analyzed to assess physicochemical parameters, major ion composition, and spatial trends across two hydrogeological domains: inside and outside the main aquifer system. Multivariate statistical methods (principal component analysis (PCA) and hierarchical cluster analysis (HCA)) were applied separately for each zone to identify dominant geochemical processes and classify water types. A customized groundwater quality index (GWQI) was developed based on normalized variable loadings and used to map quality gradients using ordinary kriging in a GIS framework. Hydrochemical facies analysis, ion ratio plots, and spatial GWQI maps revealed that more than 70% of samples inside the aquifer fall into poor or very poor quality classes, driven by evaporative dissolution and over-extraction. In contrast, recharge zones show better quality, dominated by carbonate weathering and shorter residence time. The integrated approach provides a replicable model for groundwater quality monitoring and decision-support in data-scarce arid environments. The findings can inform regional environmental policies by identifying vulnerable zones, supporting zoning-based regulation of groundwater abstraction, and prioritizing recharge interventions for long-term aquifer sustainability.

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1009240
Location
Title
Integrated hydrogeochemical and spatial assessment of groundwater quality using multivariate statistics and GIS: a case study from northeastern Iran
Author
Tajbakhshian, Maryam 1   VIAFID ORCID Logo 

 Ferdowsi University of Mashhad, Department of Geology, Mashhad, Iran (GRID:grid.411301.6) (ISNI:0000 0001 0666 1211) 
Publication title
Volume
14
Issue
1
Pages
19
Publication year
2025
Publication date
Dec 2025
Publisher
Springer Nature B.V.
Place of publication
Heidelberg
Country of publication
Netherlands
Publication subject
e-ISSN
21932697
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-08-19
Milestone dates
2025-08-03 (Registration); 2025-06-09 (Received); 2025-08-03 (Accepted)
Publication history
 
 
   First posting date
19 Aug 2025
ProQuest document ID
3241063649
Document URL
https://www.proquest.com/scholarly-journals/integrated-hydrogeochemical-spatial-assessment/docview/3241063649/se-2?accountid=208611
Copyright
© The Author(s) 2025. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-08-20
Database
ProQuest One Academic