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Application of machine learning in groundwater quality modeling-A comprehensive review
Groundwater is a crucial resource across agricultural, civil, and industrial sectors. The
prediction of groundwater pollution due to various chemical components is vital for planning …
prediction of groundwater pollution due to various chemical components is vital for planning …
Global review of modification, optimization, and improvement models for aquifer vulnerability assessment in the era of climate change
Abstract Purpose of Review This review aims to examine the methods used to date in
assessing aquifer vulnerability over the last three decades (1993-2023). In addition to a …
assessing aquifer vulnerability over the last three decades (1993-2023). In addition to a …
A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment
Groundwater vulnerability assessment is a measure of potential groundwater contamination
for areas of interest. The main objective of this study is to modify original DRASTIC model …
for areas of interest. The main objective of this study is to modify original DRASTIC model …
Auditing street walkability and associated social inequalities for planning implications
Transport planning is gradually shifting targets towards modifying the pedestrian
streetscapes that favor walking and enhance urban sustainability. We cannot be optimistic …
streetscapes that favor walking and enhance urban sustainability. We cannot be optimistic …
A study of uncertainties in groundwater vulnerability modelling using Bayesian model averaging (BMA)
Abstract Bayesian Model Averaging (BMA) is used to study inherent uncertainties using the
Basic DRASTIC Framework (BDF) for assessing the groundwater vulnerability in a study …
Basic DRASTIC Framework (BDF) for assessing the groundwater vulnerability in a study …
Effect of hydrogeological conditions and surface loads on shallow groundwater nitrate pollution in the Shaying River Basin: based on least squares surface fitting …
B He, J He, L Wang, X Zhang, E Bi - Water Research, 2019 - Elsevier
Nitrate pollution in groundwater has become a widespread problem worldwide, but
understanding of the factors influencing groundwater nitrate pollution remains limited …
understanding of the factors influencing groundwater nitrate pollution remains limited …
[HTML][HTML] Risk assessment of wetland degradation in the ** specific vulnerability of multiple confined and unconfined aquifers by using artificial intelligence to learn from multiple DRASTIC frameworks
An investigation is presented to improve on the performances of the Basic DRASTIC
Framework (BDF) and its variation by the Fuzzy-Catastrophe Framework (FCF), both of …
Framework (BDF) and its variation by the Fuzzy-Catastrophe Framework (FCF), both of …
[HTML][HTML] A GIS-based DRASTIC model and an adjusted DRASTIC model (DRASTICA) for groundwater susceptibility assessment along the China–Pakistan economic …
Land use types and anthropogenic activities represent considerable threats to groundwater
pollution. To effectively monitor the groundwater quality, it is vital to measure pollution levels …
pollution. To effectively monitor the groundwater quality, it is vital to measure pollution levels …