Groundwater Recharge Zone Mapping Using GIS-Based Multi-criteria Analysis: A Case Study in Central Tunisia (Maknassy Basin)

By I. Chenini, A. Mammou, M. El May. 2010

256 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/6200bf6112284c07d49f05a1f94534b001c02686

Citations in the corpus

• GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran (2015, unknown): “…groundwater potential using probabi l is t ic models (Sr ivastava and Bhattacharya 2006; Arthur et al. 2007; Ghayoumian et al. 2007; Chowdhury et al. 2009; Murthy and Mamo 2009; Chenini et al. 2010; Chenini and Ben Mammou 2010; Corsini et al. 2009; Gupta and Srivastava 2010; Oh et al. 2011).”