Optimization design of quality monitoring network of Urmia plain using genetic algorithm and vulnerability map-Reference-Cited by-同舟云学术

Optimization design of quality monitoring network of Urmia plain using genetic algorithm and vulnerability map

Published:2023-01-26 Issue:1 Volume:38 Page:
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Majedi-Asl Mahdi¹^ORCID,Fuladipanah Mehdi²^ORCID,Mahmoudpour Hedi³,Ebrahimpour Ebrahim⁴,Kisi Ozgur⁵⁶^ORCID

Affiliation:

1. Department of Civil Engineering, Hydraulic Structures, University of Maragheh, Maragheh, Iran

2. Department of Civil Engineering, Ramhormoz Branch, Islamic Azad University, Ramhormoz, Iran

3. Water Resources Engineer, Sardasht Township Office, Sardasht, Iran

4. Department of Civil Engineering, Faculty of Engineering, University of Maragheh, Maragheh, Iran

5. Department of Civil Engineering, Technical University of Lübeck, Lübeck, Germany

6. Department of Civil Engineering, Ilia State University, Tbilisi, Georgia

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2152492

Reference56 articles.

1. Aller L Bennett T Lehr JH Petty RJ Hackett G. 1987. DRASTIC: a standardized system for evaluating groundwater pollution using hydrogeologic settings. EPA 600/2-87-035.

2. Identification of the optimum groundwater quality monitoring network using a genetic algorithm based optimization approach

3. Identification of the Best Booster Station Network for a Water Distribution System

4. Assessment of a groundwater quality monitoring network using vulnerability mapping and geostatistics: A case study from Heretaunga Plains, New Zealand

5. A GIS-based DRASTIC model for assessing aquifer vulnerability in Kakamigahara Heights, Gifu Prefecture, central Japan

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