Developing a novel tool for assessing the groundwater incorporating water quality index and machine learning approach

Groundwater for Sustainable Development, Journal Year: 2023, Volume and Issue: 23, P. 101049 - 101049

Published: Nov. 1, 2023

Groundwater plays a pivotal role as global source of drinking water. To meet sustainable development goals, it is crucial to consistently monitor and manage groundwater quality. Despite its significance, there are currently no specific tools available for assessing trace/heavy metal contamination in groundwater. Addressing this gap, our research introduces an innovative approach: the Quality Index (GWQI) model, developed tested Savar sub-district Bangladesh. The GWQI model integrates ten water quality indicators, including six heavy metals, collected from 38 sampling sites study area. enhance precision assessment, employed established machine learning (ML) techniques, evaluating model's performance based on factors such uncertainty, sensitivity, reliability. A major advancement incorporation metals into framework index model. best authors knowledge, marks first initiative develop encompassing heavy/trace elements. Findings assessment revealed that area ranged 'good' 'fair,' indicating most indicators met standard limits set by Bangladesh government World Health Organization. In predicting scores, artificial neural networks (ANN) outperformed other ML models. Performance metrics, root mean square error (RMSE), (MSE), absolute (MAE) training (RMSE = 0.361; MSE 0.131; MAE 0.262), testing 0.001; 0.00; 0.001), prediction evaluation statistics (PBIAS 0.000), demonstrated superior effectiveness ANN. Moreover, exhibited high sensitivity (R2 1.0) low uncertainty (less than 2%) rating These results affirm reliability novel monitoring management, especially regarding metals.

Language: Английский

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Assessment of groundwater quality in arid regions utilizing principal component analysis, GIS, and machine learning techniques

Marine Pollution Bulletin, Journal Year: 2024, Volume and Issue: 205, P. 116645 - 116645

Published: June 25, 2024

Language: Английский

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Suitability and its Physicochemical Characterization for Deciphering Surface Water Quality Using Entropy (E) and Fuzzy (F)-AHP Optimization Model in Mahanadi River Basin (MRB), Odisha (India)

Water science and technology library, Journal Year: 2025, Volume and Issue: unknown, P. 457 - 497

Published: Jan. 1, 2025

Language: Английский

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Analysis of self-organizing maps and explainable artificial intelligence to identify hydrochemical factors that drive drinking water quality in Haor region

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 904, P. 166927 - 166927

Published: Sept. 11, 2023

Language: Английский

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Prediction of Groundwater Quality Index Using Classification Techniques in Arid Environments

Sustainability, Journal Year: 2023, Volume and Issue: 15(12), P. 9687 - 9687

Published: June 16, 2023

Assessing water quality is crucial for improving global resource management, particularly in arid regions. This study aims to assess and monitor the status of groundwater based on hydrochemical parameters by using artificial intelligence (AI) approaches. The irrigation index (IWQI) predicted support vector machine (SVM) k-nearest neighbors (KNN) classifiers Matlab’s classification learner toolbox. are fed with following input parameters: sodium adsorption ratio (SAR), electrical conductivity (EC), bicarbonate level (HCO3), chloride concentration (Cl), (Na). proposed methods were used extracted from desertic region Adrar Algeria. collected samples showed that 9.64% very good quality, 12.05% 21.08% satisfactory, 57.23% considered unsuitable irrigation. IWQI prediction accuracies standardized, normalized, raw data 100%, 90%, respectively. cubic SVM normalized develops highest accuracy training testing (94.2% respectively). findings this work multiple regression model learning could effectively desert zones sustainable management.

Language: Английский

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Evaluation of groundwater quality indices using multi-criteria decision-making techniques and a fuzzy logic model in an irrigated area

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 25, P. 101122 - 101122

Published: Feb. 16, 2024

Language: Английский

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Evaluation of groundwater quality for drinking and irrigation purposes, ionic sources and land use/land cover impacts in the Kathua region of Jammu and Kashmir, India

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 26, P. 101303 - 101303

Published: July 30, 2024

Language: Английский

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Groundwater Quality and Suitability Assessment in Tirupur Region, Tamil Nadu, India

Journal of Chemistry, Journal Year: 2024, Volume and Issue: 2024, P. 1 - 10

Published: April 16, 2024

The study aims to understand the hydrochemical characteristics and groundwater suitability for agricultural drinking purposes. For this purpose, 21 samples were collected, major physicochemical parameters such as pH, EC, TDS, temp, salinity, Ca2+, Mg2+, Na+, K+, HCO3−, Cl−, SO42− analyzed, followed by standard analytical procedures. Different quality graphical representations constructed using Aqua Chem software. results indicate alkaline with fresh moderate saline in nature, sixty-eight percent of suitable accordance WHO, thirty-two unsuitable due excess amount different ionic concentrations derived from natural various anthropogenic sources. Irrigation water SAR, PI, Na %, RSBC, MR, KR used irrigation suitability. US salinity diagram exemplifies that most fall C3S1 category high hazard low alkali hazard. Wilcox plot reveals 80% found under very good permissible limits, few doubtful salinity. Permeability index values show is irrigation. Three facies identified dominance order mixed CaMgCl, NaCl, CaCl. Gibb’s suggests evaporation rock-water interaction are dominant mechanisms controlling chemistry present area.

Language: Английский

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Groundwater quality prediction and risk assessment in Kerala, India: A machine-learning approach

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122616 - 122616

Published: Sept. 25, 2024

Language: Английский

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Hydrochemical Characterization of Surface Water and Groundwater in the Crystalline Basement Aquifer System in the Pra Basin (Ghana)

Water, Journal Year: 2023, Volume and Issue: 15(7), P. 1325 - 1325

Published: March 28, 2023

The quality of groundwater resources in the Pra Basin (Ghana) is threatened by ongoing river pollution from illegal mining. To date, there are very limited data and literature on hydrochemical characteristics basin. For first time, we provide regional surface water to gain insight into geochemical processes for drinking irrigation purposes. We collected 90 samples (rivers) (boreholes) analysed them their chemical parameters. performed a assessment using conventional rating indices irrigation. Cluster factor analysis were learn variations data. Bivariate ion plots used interpret plausible controlling composition dissolved ions groundwater. Water Quality Index (WQI) revealed that 74% 20% poor and, therefore, cannot be irrigation, good based Sodium Adsorption Ratio (SAR), Wilcox diagram United States Salinity (USSL) indices. However, Mn Fe (total) concentrations observed most above acceptable limit therefore require treatment avoid soil acidification loss availability vital nutrients. Manganese iron identified as main contaminants affecting basin’s quality. hierarchical cluster highlights heterogeneity data, which showed three distinct spatial associations elevation differences. Groundwater chemically evolves Ca–HCO3 Na–HCO3 finally Na–Cl type along flow regime recharge discharge zone. bivariate plot underscore silicate weathering, carbonate dissolution exchange likely driving evolution Going forward, models should implemented elucidate dominant reaction pathways chemistry Basin.

Language: Английский

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