Optimization of DRASTIC method by supervised committee machine artificial intelligence to assess groundwater vulnerability for Maragheh–Bonab plain aquifer, Iran

Author:

Fijani Elham,Nadiri Ata Allah,Asghari Moghaddam Asghar,Tsai Frank T.-C.,Dixon Barnali

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference61 articles.

1. DRASTIC: A Standardized System for Evaluating Ground Water Pollution Potential Using Hydrogeologic Settings, EPA 600/2-87-035;Aller,1987

2. Development and testing of three hybrid methods for the assessment of aquifer vulnerability to nitrates, based on the drastic model, an example from NE Korinthia, Greece;Antonakos;Journal of Hydrology,2007

3. Analysis and prediction of flow from local source in a river basin using a neuro-fuzzy modeling tool;Aqil;Journal of Environmental Management,2007

4. Artificial neural network in hydrology. I: Preliminary concepts;ASCE Task Committee on Application of Artificial Neural Networks in Hydrology;Journal of Hydrologic Engineering,2000

5. Artificial neural network in hydrology. II: Hydrologic applications;ASCE Task Committee on Application of Artificial Neural Networks in Hydrology;Journal of Hydrologic Engineering,2000

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