An optimization-simulation approach for groundwater abstraction under recharge uncertainty

Slim Zekri, Chefi Triki, Ali Al-Maktoumi, Mohammad Reza Bazargan-Lari

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

Droughts and climate variability cause uncertainties on water supply especially in arid regions and coastal aquifers’ over-exploitation causes seawater intrusion. Since the rate and extent of aquifer recharge is often very uncertain, determining the optimal groundwater abstraction is a challenging task. In this paper a framework is proposed for estimating the optimal abstraction of groundwater for urban supply under uncertainty and under complex conditions of water table fluctuations and seawater intrusion. It is based on a combination of several models: (i) a Monte-Carlo Simulation (MCS) to incorporate the uncertainties in groundwater recharge, (ii) a numerical groundwater flow model, MODFLOW to simulate the effects of abstractions on the water table fluctuations and seawater intrusion and (iii) a multi-objective optimization model to generate the set of Pareto optimal solutions for each recharging scenario. Maximizing the benefit to the water utility, minimizing the average groundwater table level fluctuations and minimizing the seawater intrusion are the objectives of the model. A fast multi-objective evolutionary algorithm is used to obtain the Pareto efficient solutions for each recharging scenario. Compromise programming (CP) is then used to select the closest solutions to the ideal. Finally, the amount of optimal reliable groundwater abstraction is estimated using a cumulative distribution function. The proposed methodology is applied to a coastal aquifer in the western part of Muscat metropolitan area, Oman. The results have shown that annual groundwater abstraction volume may range from 12.7 to 18.8 Mm3compared to 6.8 Mm3 currently pumped. This would result in an economic benefit of $10.5 million to $15.4 million/year. On the other hand the aquifer’s maximum annual mean drawdown would range from 0.7 to 0.9 m.

Original languageEnglish
Article numberA014
Pages (from-to)3681-3695
Number of pages15
JournalWater Resources Management
Volume29
Issue number10
DOIs
Publication statusPublished - 2015

Fingerprint

groundwater abstraction
Salt water intrusion
Groundwater
recharge
seawater
Aquifers
coastal aquifer
simulation
groundwater
water table
aquifer
drawdown
arid region
metropolitan area
groundwater flow
Water
Arid regions
Groundwater flow
water supply
Drought

Keywords

  • Dynamic optimization
  • Groundwater simulation
  • Managed aquifer recharge
  • Multi-objective programming
  • Seawater intrusion
  • Uncertainty

ASJC Scopus subject areas

  • Water Science and Technology
  • Civil and Structural Engineering

Cite this

An optimization-simulation approach for groundwater abstraction under recharge uncertainty. / Zekri, Slim; Triki, Chefi; Al-Maktoumi, Ali; Bazargan-Lari, Mohammad Reza.

In: Water Resources Management, Vol. 29, No. 10, A014, 2015, p. 3681-3695.

Research output: Contribution to journalArticle

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