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Optimal Location of Wells for Storage and Recovery of Surplus Desalinated Water in Coastal Aquifers

Triki, Chefi, Zekri, Slim, Al-Maktoumi, Ali, Bazargan-Lari, Mohammad R. (2020) Optimal Location of Wells for Storage and Recovery of Surplus Desalinated Water in Coastal Aquifers. Groundwater, 58 (5). pp. 831-841. ISSN 0017-467X. E-ISSN 1745-6584. (doi:10.1111/gwat.12951) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:91496)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL:
http://dx.doi.org/10.1111/gwat.12951

Abstract

Storage of water in aquifers using injection wells is an efficient way for utilizing excess desalinated water in arid regions. In this investigation we estimate the benefits of optimally recharging seasonal surplus desalinated water into a strategic coastal aquifer already benefitting from natural recharge of flash-floods water by a recharge dam. Since, usually the buyers of desalinated water commit to purchase surplus desalinated water under take-or-pay contracts, any attempt in utilizing the paid water is beneficial. Coastal cities are observing an increased urbanization leaving limited space for aquifer recharge infrastructure. In order to determine the optimal location of wells and maximize the use of surplus desalinated water available in winter period, a decision tool combining a numerical groundwater flow simulation model (MODFLOW) with an optimization model is developed. The results of this study show that increasing the number of wells from the existing 45 wells to 173 would allow storing 31.4 million cubic meter per year of excess desalinated water into the aquifer that can be used during later during summer months. The net benefit would reach US55 million/year while the cost of drilling the new wells is US5.11 million.

Item Type: Article
DOI/Identification number: 10.1111/gwat.12951
Uncontrolled keywords: Aquifers; Groundwater flow; Groundwater resources; Hydrogeology; Recharging (underground waters); Water filtration, Aquifer recharge; Coastal aquifers; Coastal cities; Desalinated water; Injection wells; Natural recharge; Optimal locations; Optimization modeling, Injection (oil wells), coastal aquifer; decision support system; flash flood; groundwater flow; numerical model; optimization; recharge; simulation; urbanization, ground water; water; well water, case report; city; water flow, Cities; Groundwater; Water; Water Movements; Water Wells
Subjects: H Social Sciences
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Chefi Triki
Date Deposited: 18 Nov 2021 09:33 UTC
Last Modified: 05 Nov 2024 12:57 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/91496 (The current URI for this page, for reference purposes)

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