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 …
a consequence of rapid population growth and global environmental change. Cost-effective …
Leveraging machine learning in porous media
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 …
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 …
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 …
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
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 …
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
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 …
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) …
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) …
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 …
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 …
frequency ratio (FR), and certainty factor (CF) models for groundwater potential mapping …