Meta-Water-Modelling (Meta-WaM): A new framework for increasing applicability of digital water modelling

Knowledge-Based Systems, Journal Year: 2025, Volume and Issue: unknown, P. 113543 - 113543

Published: April 1, 2025

Language: Английский

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Occurrence, distribution and Ecological Health Risk Assessment of Heavy Metals through Consumption of Drinking Water in Urban, Industrial, and Mining areas of Semi − arid to Humid Subtropical areas

Journal of Geochemical Exploration, Journal Year: 2025, Volume and Issue: unknown, P. 107786 - 107786

Published: April 1, 2025

Language: Английский

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Innovative Machine Learning, Isotopic, and Hydrogeochemical Techniques for Groundwater Analysis in Arid Landscapes in Egypt’s Eastern Desert

Earth Systems and Environment, Journal Year: 2025, Volume and Issue: unknown

Published: April 21, 2025

Language: Английский

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Comparing neural network architectures for simulating pollutant loads and first flush events in urban watersheds: Balancing specialization and generalization

Chemosphere, Journal Year: 2025, Volume and Issue: 379, P. 144395 - 144395

Published: April 24, 2025

Language: Английский

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Spatial analysis and soft computational modeling for hazard assessment of potential toxic elements in potable groundwater

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 26, 2024

Swiftly increasing population and industrial developments of urban areas has accelerated the worsening water quality in recent years. Groundwater samples from different locations Doon valley, Garhwal Himalaya were analyzed to measure concentrations six potential toxic elements (PTEs) viz. chromium (Cr), nickel (Ni), arsenic (As), molybdenum (Mo), cadmium (Cd), lead (Pb) using Inductively Coupled Plasma Mass Spectrometer (ICP-MS) with aim study spatial distribution associated hazards. In addition, machine learning algorithms have been used for prediction identification influencing PTEs. The results inferred that mean values (in units µg L

Language: Английский

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Regional Irrigation Water Quality Index for the Old Brahmaputra River, Bangladesh: A Multivariate and GIS-Based Spatiotemporal Assessment

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103667 - 103667

Published: Dec. 1, 2024

Language: Английский

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Optimizing Machine Learning Models with Bayesian Techniques for Prediction of Groundwater Quality Index in Southwest Saudi Arabia

Earth Systems and Environment, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 3, 2024

Language: Английский

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Disposition of Uranium and Other Heavy Metals in the Groundwater in the Baran District of Rajasthan, India

Journal of Sustainable Water in the Built Environment, Journal Year: 2024, Volume and Issue: 11(1)

Published: Nov. 27, 2024

Language: Английский

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Coping with the tale of natural resources and environmental inequality: an application of the machine learning tools

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(40), P. 52841 - 52854

Published: Aug. 20, 2024

Language: Английский

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Hybrid modeling techniques for predicting chemical oxygen demand in wastewater treatment: a stacking ensemble learning approach with neural networks

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(12)

Published: Nov. 27, 2024

Language: Английский

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