Advances in groundwater potential mapping

S Díaz-Alcaide, P Martínez-Santos - Hydrogeology Journal, 2019 - Springer
Groundwater resources can be expected to be increasingly relied upon in the near future, as
a consequence of rapid population growth and global environmental change. Cost-effective …

Leveraging machine learning in porous media

M Delpisheh, B Ebrahimpour, A Fattahi… - Journal of Materials …, 2024 - pubs.rsc.org
The emergence of artificial intelligence (AI) and, more particularly, machine learning (ML),
has had a significant impact on engineering and the fundamental sciences, resulting in …

Identification of groundwater potential zones using remote sensing and GIS techniques: a case study of the Shatt Al-Arab Basin

H Allafta, C Opp, S Patra - Remote Sensing, 2020 - mdpi.com
Rapid population growth has raised the groundwater resources demand for socio-economic
development in the Shatt Al-Arab basin. The sustainable management of groundwater …

GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran

SA Naghibi, HR Pourghasemi, B Dixon - Environmental monitoring and …, 2016 - Springer
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 …

A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination

F Sajedi-Hosseini, A Malekian, B Choubin… - Science of the total …, 2018 - Elsevier
This study aimed to develop a novel framework for risk assessment of nitrate groundwater
contamination by integrating chemical and statistical analysis for an arid region. A standard …

Application of support vector machine, random forest, and genetic algorithm optimized random forest models in groundwater potential mapping

SA Naghibi, K Ahmadi, A Daneshi - Water Resources Management, 2017 - Springer
Regarding the ever increasing issue of water scarcity in different countries, the current study
plans to apply support vector machine (SVM), random forest (RF), and genetic algorithm …

Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: a case study at Mehran Region, Iran

O Rahmati, HR Pourghasemi, AM Melesse - Catena, 2016 - Elsevier
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) …

GIS-based groundwater potential analysis using novel ensemble weights-of-evidence with logistic regression and functional tree models

W Chen, H Li, E Hou, S Wang, G Wang… - Science of the Total …, 2018 - Elsevier
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) …

Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS

O Rahmati, A Nazari Samani, M Mahdavi… - Arabian Journal of …, 2015 - Springer
Multi-criteria decision analysis (MCDA) as an advantageous tool has been applied by
various researchers to improve their management ability. Management of groundwater …

Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS

Y Razandi, HR Pourghasemi, NS Neisani… - Earth Science …, 2015 - Springer
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 …