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Global review of groundwater potential models in the last decade: parameters, model techniques, and validation
NN Thanh, P Thunyawatcharakul, NH Ngu… - Journal of …, 2022 - Elsevier
This paper aims to review parameters, model techniques, validation methods in
groundwater potential field. According to statistics, there are three major model groups used …
groundwater potential field. According to statistics, there are three major model groups used …
Spatial prediction of groundwater potential map** based on convolutional neural network (CNN) and support vector regression (SVR)
Freshwater shortages have become much more common globally in recent years. Water
resources that are naturally available beneath the surface are capable of reversing this …
resources that are naturally available beneath the surface are capable of reversing this …
Ensemble boosting and bagging based machine learning models for groundwater potential prediction
Due to the rapidly increasing demand for groundwater, as one of the principal freshwater
resources, there is an urge to advance novel prediction systems to more accurately estimate …
resources, there is an urge to advance novel prediction systems to more accurately estimate …
Delineation of groundwater potential zones in a drought-prone semi-arid region of east India using GIS and analytical hierarchical process techniques
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 …
arid/semi-arid rural tracts are becoming increasingly vulnerable to the risks of groundwater …
[HTML][HTML] Soft computing ensemble models based on logistic regression for groundwater potential map**
Groundwater potential maps are one of the most important tools for the management of
groundwater storage resources. In this study, we proposed four ensemble soft computing …
groundwater storage resources. In this study, we proposed four ensemble soft computing …
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) …
Delineation of groundwater potential zone for sustainable development: A case study from Ganga Alluvial Plain covering Hooghly district of India using remote …
In the context of considerable change in the use of groundwater pattern, particularly with
continuously increasing demand for groundwater due to growing population, expansion of …
continuously increasing demand for groundwater due to growing population, expansion of …
[HTML][HTML] Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques
Study region The present study has been carried out in the Tabriz River basin (5397 km 2) in
north-western Iran. Elevations vary from 1274 to 3678 m above sea level, and slope angles …
north-western Iran. Elevations vary from 1274 to 3678 m above sea level, and slope angles …
GIS-based groundwater potential map** in Shahroud plain, Iran. A comparison among statistical (bivariate and multivariate), data mining and MCDM approaches
In arid and semi-arid areas, groundwater resource is one of the most important water
sources by the humankind. Knowledge of groundwater distribution over space, associated …
sources by the humankind. Knowledge of groundwater distribution over space, associated …
Spatial prediction of groundwater potentiality using ANFIS ensembled with teaching-learning-based and biogeography-based optimization
Groundwater is one of the most beneficial natural resources worldwide. The main aim of the
present study is the map** of groundwater potential of the Zhangjiamao area in China …
present study is the map** of groundwater potential of the Zhangjiamao area in China …