Investigation of groundwater level fluctuations on the Ba river basin for water resources management and planning: a GIS-based approach

This study investigates alum-contaminated water in An Giang province within the Mekong Delta, emphasizing methodological approaches to assess its distribution and impacts. The research conducted from March to May 2021 involved surveys of residents, public sector employees, and provincial managers, complemented by expert interviews and extensive fieldwork. Surface water samples were collected during both rainy and dry seasons across three districts, with parameters such as turbidity, pH, and temperature measured onsite, and aluminum (Al), iron (Fe), and copper (Cu) concentrations analyzed in the laboratory using atomic absorption spectrometry. The data were further processed using QGIS software to create comprehensive maps illustrating seasonal variations in water quality. The findings revealed significant spatial and temporal variations in water quality, with pH levels fluctuating markedly between the dry and rainy seasons. Household surveys indicated a lack of awareness regarding effective water treatment methods, with most respondents relying on local authorities for solutions. The study highlights the need for community education and participation in addressing alum contamination, offering insights into the environmental and public health implications of water quality in the region. This research contributes valuable knowledge to the ongoing efforts in environmental conservation and water quality management in the Mekong Delta.

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Investigation of groundwater level fluctuations on the Ba river basin for water resources management and planning: a GIS-based approach

Cited by 3 publications

References 30 publications

GIS-based multi-criteria approach for drought hazard modeling in the Ba river basin, Vietnam

GIS-based multi-criteria approach for drought hazard modeling in the Ba river basin, Vietnam

Predicting groundwater drawdown in Zakho region, Northern Iraq, using machine learning models optimized by the whale optimization algorithm

Integrated environmental and social assessment of alum-contaminated water in An Giang province

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