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

Catena

Volumn 137, Issue , 2016, Pages 360-372

  Rahmati, Omid ^a   Pourghasemi, Hamid Reza ^b   Melesse, Assefa M ^c  

^a LORESTAN UNIVERSITY   (Iran)

^b SHIRAZ UNIVERSITY   (Iran)

^c FLORIDA INTERNATIONAL UNIVERSITY   (United States)

Author keywords

GIS,; Groundwater potential,; Iran; Maximum entropy (ME),; Mehran Region,; Random forest (RF),

Indexed keywords

DATA SET; GIS; GROUNDWATER RESOURCE; MAPPING METHOD; MAXIMUM ENTROPY ANALYSIS; MODEL TEST; MODEL VALIDATION; RESOURCE ASSESSMENT; SENSITIVITY ANALYSIS; UNCERTAINTY ANALYSIS;

ILAM; IRAN; MEHRAN;

EID: 84944916873     PISSN: 03418162     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.catena.2015.10.010     Document Type: Article

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