Predicting and analysing the quality of water resources for industrial purposes using integrated data-intelligent algorithms-Reference-Cited by-同舟云学术

Predicting and analysing the quality of water resources for industrial purposes using integrated data-intelligent algorithms

Published:2022-08 Issue: Volume:18 Page:100794
ISSN:2352-801X
Container-title:Groundwater for Sustainable Development
language:en
Short-container-title:Groundwater for Sustainable Development

Author:

Egbueri Johnbosco C.^ORCID

Publisher

Elsevier BV

Subject

Water Science and Technology,Geography, Planning and Development,Environmental Chemistry,Environmental Engineering

Reference105 articles.

1. River water modelling prediction using multi-linear regression, artificial neural network, and adaptive neuro-fuzzy inference system techniques;Abba;Procedia Comput. Sci.,2017

2. Evaluation of groundwater quality using water quality index and its suitability for assessing water for drinking and irrigation purposes: case study of Sistan and Baluchistan province (Iran);Abbasnia;Hum. Ecol. Risk Assess.,2018

3. Assessment of groundwater corrosivity in Hamedan Province, Iran using an adaptive neuro-fuzzy inference system (ANFIS);Abyaneh;Geosci. J.,2011

4. Predicting cadmium concentrations in wheat and barley grain using soil properties;Adams;J. Environ. Qual.,2004

5. Studies of corrosion tendency of drinking water in the distribution system at the University of Benin;Agatemor;Environmentalist,2008

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