Groundwater vulnerability indices conditioned by Supervised Intelligence Committee Machine (SICM)-Reference-Cited by-同舟云学术

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Groundwater vulnerability indices conditioned by Supervised Intelligence Committee Machine (SICM)

Published:2017-01 Issue: Volume:574 Page:691-706
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Nadiri Ata Allah,Gharekhani Maryam,Khatibi Rahman,Sadeghfam Sina,Moghaddam Asghar Asghari

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference74 articles.

1. Compressive studies of Ardabil plain aquifer;Aban Pazhoh Consulting Engineering Company;Ardabil Regional Water Authority,2010

2. Improving rainfall forecasting efficiency using modified adaptive neurofuzzy inference system (MANFIS);Akrami;J. Water Resour. Manag.,2013

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

4. 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;J. Hydrol.,2007

5. Artificial intelligence modeling to evaluate field performance of photocatalytic asphalt pavement for ambient air purification;Asadi;J. Environ. Sci. Pollut. Res.,2014

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