Over-exploitation of groundwater and marked changes in climate over the years have
imposed immense pressure on the global groundwater resources. As demand of potable …

Groundwater is considered one of the most valuable fresh water resources. The main
objective of this study was to produce groundwater spring potential maps in the Koohrang …

Groundwater is considered as the most important natural resources in arid and semi-arid
regions. In this study, the application of random forest (RF) and maximum entropy (ME) …

The aim of the current study was to produce groundwater spring potential maps using novel
ensemble weights-of-evidence (WoE) with logistic regression (LR) and functional tree (FT) …

Multi-criteria decision analysis (MCDA) as an advantageous tool has been applied by
various researchers to improve their management ability. Management of groundwater …

The main goal of this study was to investigate the analytical hierarchy process (AHP),
frequency ratio (FR), and certainty factor (CF) models for groundwater potential mapping …

Over-extraction of groundwater has compromised its climatic resilience properties and the
arid/semi-arid rural tracts are becoming increasingly vulnerable to the risks of groundwater …

The objective of this paper is to exploit potential application of an evidential belief function
(EBF) model for spatial prediction of groundwater productivity at Langat basin area …

This analysis aims to generate landslide susceptibility maps (LSMs) using various machine
learning methods, namely random forest (RF), alternative decision tree (ADTree) and …

This study evaluated and compared landslide susceptibility maps produced with three
different methods, frequency ratio, weights of evidence, and logistic regression, by using …