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Current Analytical Chemistry

Current Analytical Chemistry

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ISSN (Print): 1573-4110
ISSN (Online): 1875-6727

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Research Article

A Groundwater Quality Index Proposed for Assessment of Groundwater Quality: A Case Study of Quang Tri Province, Central Vietnam

Author(s): Kien Truong Trung, Khoa Nguyen Truong, Tung Truong Quy, Chau Nguyen Dang Giang* and Hop Nguyen Van

Volume 21, Issue 8, 2025

Published on: 07 October, 2024

Page: [1013 - 1025] Pages: 13

DOI: 10.2174/0115734110324144240924114752

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Abstract

Background: Water quality assessment is a crucial task to manage water sources and control water pollution. The purpose of this study is to develop a Groundwater Quality Index (GWQI) to assess groundwater quality.

Methods: The GWQI was developed and functioned by weight (wi) and sub-index (qi) of ten selected water quality parameters. Principal Component Analysis (PCA) was applied to a water quality monitoring data set (year 2016 to 2019, 163 samples) at 27 locations in Quang Tri province, aiming to identify the weight of each parameter. Sub-index linear function was established based on the allowable limits for each parameter defined in the National Technical Regulation on drinking water quality. Multiplicate (GWQIM), additive (GWQIA), and reference (GWQIRef) formulas were used to compute the final GWQI indices. The sensitivity and suitability of the proposed GWQI in water quality evaluation were also tested.

Results: Among the three GWQI calculation methods, GWQIM was found to be the most suitable in reflecting groundwater quality in the study area. From 2019 to 2022 (152 samples), in the province, 63.2% of GWQIM values were classified as EXCELLENT or GOOD, 17.1% as POOR, and 19.7% as VERY POOR, or UNFIT FOR DRINKING.

Conclusion: This improved GWQI can be applied to assess groundwater quality at local or regional scales.

Keywords: Groundwater quality index, water quality assessment, principal component analysis, weight, sub-index linear function, quang tri province, groundwater, water quality parameters.

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Graphical Abstract

Graphical abstract illustrating key findings of the study

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