Providing predictive models for quality parameters of groundwater resources in arid areas of central Iran: A case study of kashan plain
Author:
Funder
Tehran University of Medical Sciences and Health Services
Publisher
Elsevier BV
Reference34 articles.
1. Evolving genetic programming and other AI-based models for estimating groundwater quality parameters of the Khezri plain, Eastern Iran;Aryafar;Environ. Earth Sci.,2019
2. Application of the artificial neural network and neuro‐fuzzy system for assessment of groundwater quality;Khaki;CLEAN–Soil, Air, Water,2015
3. Prediction of water quality index using artificial neural network and multiple linear regression modelling approach in Shivganga River basin, India;Kadam;Modeling Earth Systems and Environment,2019
4. Modeling groundwater quality by using hybrid intelligent and geostatistical methods;Maroufpoor;Environ. Sci. Pollut. Control Ser.,2020
5. Groundwater resources management through the applications of simulation modeling: a review;Singh;Sci. Total Environ.,2014
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