Application of the novel state-of-the-art soft computing techniques for groundwater potential assessment

摘要: Groundwater is one of the important ecological elements which are now considered as vulnerable resources. The absence and shortage of this precious resource can be grown into an ecologically fragile condition. So, identification of this nature of groundwater resources can be useful for proper concern about this resource and its associated measures. The accurate and meaningful prediction of groundwater potential is a very important need for management of water resources in arid and semi-arid regions of the world. Though others have modeled predictions of groundwater distribution using various statistical and machine learning methods, this study tested alternative decision tree (ADTree) and the credal decision tree (CDT) as standalone models as well as in ensembles with dagging, bagging, and decorate. Eighteen groundwater potential conditioning factors (lithology, convergence index, drainage density …