Integrated groundwater quality analysis using Water Quality Index, GIS and multivariate technique: a case study of Guwahati City

Environmental Earth Sciences, Journal Year: 2022, Volume and Issue: 81(16)

Published: Aug. 1, 2022

Language: Английский

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Groundwater quality assessment for drinking purposes: a case study in the Mekong Delta, Vietnam

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: March 16, 2023

Groundwater serves as an important resource for people in the Mekong Delta, but its quality has been continuously declined from human activities. Current status of groundwater needs to be evaluated sustainable management. This study aimed evaluate drinking purposes Vietnam, using multivariate statistical methods and integrated-weight water index. Data comprised 8 parameters (pH, total hardness, nitrate (NO3-), iron (Fe), lead (Pb), mercury (Hg), arsenic (As), coliforms) obtained 64 observation wells An Giang province, Dong Thap Can Tho city, were analyzed by cluster analysis (CA), principal component (PCA), index (IWQI). The results indicated that most within standards while excessive hardness Fe contamination found some regions. More than 80% samples detected with serious coliform contamination. CA revealed heavily depend on geological locations 4 clusters sampling locations. Three components PCA could explain 77.2% variation. IWQI values ranging 2761 classified excellent (53.1%), good (25%), poor (9.4%), very (4.7%), undrinkable (7.8%), which associated These findings have provided insights into region, can benefit developing a protection strategy.

Language: Английский

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Hydrochemical variations and driving mechanisms in a large linked river-irrigation-lake system

Environmental Research, Journal Year: 2023, Volume and Issue: 225, P. 115596 - 115596

Published: March 3, 2023

Language: Английский

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Conjunct application of machine learning and game theory in groundwater quality mapping

Environmental Earth Sciences, Journal Year: 2023, Volume and Issue: 82(17)

Published: Aug. 9, 2023

Abstract Groundwater quality (GWQ) monitoring is one of the best environmental objectives due to recent droughts and urban rural development. Therefore, this study aimed map GWQ in central plateau Iran by validating machine learning algorithms (MLAs) using game theory (GT). On basis, chemical parameters related water quality, including K + , Na Mg 2+ Ca SO 4 2− Cl − HCO 3 pH, TDS, EC, were interpolated at 39 sampling sites. Then, random forest (RF), support vector (SVM), Naive Bayes, K-nearest neighbors (KNN) used Python programming language, was plotted concerning GWQ. Borda scoring validate MLAs, sample points prioritized. Based on results, among ML algorithms, RF algorithm with error statistics MAE = 0.261, MSE 0.111, RMSE 0.333, AUC 0.930 selected as most optimal algorithm. created algorithm, 42.71% studied area poor condition. The proportion region classes moderate high 18.93% 38.36%, respectively. results prioritization sites GT showed a great similarity between model. In addition, analysis condition critical non-critical based that aspects, carbonate balance, salinity general, it can be said simultaneous use MLA provides good basis for constructing Iran.

Language: Английский

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Coastal groundwater quality prediction using objective-weighted WQI and machine learning approach

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(13), P. 19439 - 19457

Published: Feb. 15, 2024

Language: Английский

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