Integrated approach for optimizing groundwater monitoring systems using evolutionary algorithms-Reference-Cited by-同舟云学术

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Integrated approach for optimizing groundwater monitoring systems using evolutionary algorithms

Published:2021-10-03 Issue:13 Volume:66 Page:1963-1978
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Mahmod Wael Elham¹²^ORCID,Mohamed Hassan I.¹^ORCID,Suleiman Ahmed H.³

Affiliation:

1. Civil Engineering Department, Faculty of Engineering, Assiut University, Assiut, Egypt

2. Civil Engineering Department, Faculty of Engineering, Taif University, Taif, Saudi Arabia

3. Assiut Barrage Development Consultants (ABDC), Arab Consulting Engineers (ACE), Cairo, Egypt

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2021.1968404

Reference59 articles.

1. Cost-effective network design for groundwater flow monitoring

2. Groundwater Pollution Source Identification Using Genetic Algorithm Based Optimization Model

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

4. Prediction of annual drinking water quality reduction based on Groundwater Resource Index using the artificial neural network and fuzzy clustering

5. Application of artificial neural network coupled with genetic algorithm and simulated annealing to solve groundwater inflow problem to an advancing open pit mine

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