Development of the support vector regression–particle swarm optimization simulation‐optimization model for the assessment of a novel groundwater quality index-Reference-Cited by-同舟云学术

Development of the support vector regression–particle swarm optimization simulation‐optimization model for the assessment of a novel groundwater quality index

Published:2022-06-03 Issue:4 Volume:36 Page:608-621
ISSN:1747-6585
Container-title:Water and Environment Journal
language:en
Short-container-title:Water & Environment J

Author:

Mozaffari Saeed¹,Javadi Saman¹^ORCID,Moghaddam Hamid Kardan²,Randhir Timothy O.³^ORCID

Affiliation:

1. Department of Water Engineering, College of Aburaihan University of Tehran Tehran Iran

2. Department of Water Resources Research Water Research Institute Tehran Iran

3. Department of Environmental Conservation, College of Natural Sciences University of Massachusetts Amherst Massachusetts USA

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Pollution,Water Science and Technology,Environmental Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/wej.12801

Reference69 articles.

1. 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)

2. A modified drinking water quality index (DWQI) for assessing drinking source water quality in rural communities of Khuzestan Province, Iran

3. Predicting Nitrate Concentration and Its Spatial Distribution in Groundwater Resources Using Support Vector Machines (SVMs) Model

4. Support vector machines (SVMs) for monitoring network design

5. A new method for site suitability analysis: The analytic hierarchy process

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