Optimal and sustainable extraction of groundwater in coastal aquifers

Qahman, Khalid; Larabi, Abdelkader; Ouazar, Driss; Naji, Ahmed; Cheng, Alexander H.‐D.

doi:10.1007/s00477-004-0218-0

Cited by 58 publications

(38 citation statements)

References 38 publications

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“…Density-dependent flow and transport models have been increasingly used to solve coastal aquifer management problems (Das and Datta 1999a, b;Qahman et al 2005;Dhar and Datta 2009a, b; Katsifarakis and Petala 2006; Abd-Elhamid and Javadi 2011). Whereas linear and non-linear classical optimization techniques were used in the early days, there is an increasing trend in the use of heuristic optimization techniques often based on evolutionary principles.…”

Section: Simulation Optimization By External Linkingmentioning

confidence: 98%

Review: Simulation-optimization models for the management and monitoring of coastal aquifers

Janardhanan

Datta

2015

Hydrogeol J

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The literature on the application of simulationoptimization approaches for management and monitoring of coastal aquifers is reviewed. Both sharp-and dispersive-interface modeling approaches have been applied in conjunction with optimization algorithms in the past to develop management solutions for saltwater intrusion. Simulation-optimization models based on sharp-interface approximation are often based on the Ghyben-Herzberg relationship and provide an efficient framework for preliminary designs of saltwater-intrusion management schemes. Models based on dispersiveinterface numerical models have wider applicability but are challenged by the computational burden involved when applied in the simulation-optimization framework. The use of surrogate models to substitute the physically based model during optimization has been found to be successful in many cases. Scalability is still a challenge for the surrogate modeling approach as the computational advantage accrued is traded-off with the training time required for the surrogate models as the problem size increases. Few studies have attempted to solve stochastic coastal-aquifer management problems considering model prediction uncertainty. Approaches that have been reported in the wider groundwater management literature need to be extended and adapted to address the challenges posed by the stochastic coastal-aquifer management problem. Similarly, while abundant literature is available on simulation-optimization methods for the optimal design of groundwater monitoring networks, applications targeting coastal aquifer systems are rare. Methods to optimize compliance monitoring strategies for coastal aquifers need to be developed considering the importance of monitoring feedback information in improving the management strategies.

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Section: Simulation Optimization By External Linkingmentioning

confidence: 98%

Review: Simulation-optimization models for the management and monitoring of coastal aquifers

Janardhanan

Datta

2015

Hydrogeol J

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“…Saline/saltwater intrusion is caused mainly by the decrease of groundwater table or by increasing the seawater levels. When groundwater is pumped from a coastal aquifer, the freshwater level is lowered and the sea intrudes into the aquifer (Qahman et al 2005). Therefore, the amount of freshwater stored in the aquifer is decreased.…”

Section: Introductionmentioning

confidence: 99%

“…The sources of freshwater in coastal aquifers is typically limited to precipitation, river water or irrigation water whereas the source of salt in groundwater (independent of the original source of the water itself) can be of meteoric origin, from water-rock interaction, salts derived from remnant formation water trapped in sediments and anthropogenic salts that may include salts from irrigation, salt/seawater bodies, wastewater, road salt and gypsum applied to improve agricultural soil quality (Marie and Vengosh 2001;Vengosh 2003;Qahman et al 2005;Misut and Voss 2007;El Yaouti et al 2009;Mollema et al 2013;Bouzourra et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Assessment of seasonal groundwater quality and potential saltwater intrusion: a study case in Urmia coastal aquifer (NW Iran) using the groundwater quality index (GQI) and hydrochemical facies evolution diagram (HFE-D)

Amiri

Nakhaei

Lak

et al. 2015

Stoch Environ Res Risk Assess

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Coastal aquifers are at threat of salinization in most parts of the world. This work investigated the seasonal hydrochemical evolution of coastal groundwater resources in Urmia plain, NW Iran. Two recently proposed methods have been used to comparison, recognize and understand the temporal and spatial evolution of saltwater intrusion in a coastal alluvial aquifer. The study takes into account that saltwater intrusion is a dynamic process, and that seasonal variations in the balance of the aquifer cause changes in groundwater chemistry. Pattern diagrams, which constitute the outcome of several hydrochemical processes, have traditionally been used to characterize vulnerability to sea/ saltwater intrusion. However, the formats of such diagrams do not facilitate the geospatial analysis of groundwater quality, thus limiting the ability of spatio-temporal mapping and monitoring. This deficiency calls for methodologies which can translate information from some diagrams such Piper diagram into a format that can be mapped spatially.Distribution of groundwater chemistry types in Urmia plain based on modified Piper diagram using GQI Piper(mix) and GQI Piper(dom) indices that Mixed Ca-Mg-Cl and Ca-HCO 3 are the dominant water types in the wet and dry seasons, respectively. In this study, a groundwater quality index specific to seawater intrusion (GQI SWI ) was used to check its efficiency for the groundwater samples affected by Urmia hypersaline Lake, Iran. Analysis of the main processes, by means of the Hydrochemical Facies Evolution Diagram (HFE-Diagram), provides essential knowledge about the main hydrochemical processes. Subsequently, analysis of the spatial distribution of hydrochemical facies using heatmaps helps to identify the general state of the aquifer with respect to saltwater intrusion during different sampling periods. The HFE-D results appear to be very successful for differentiating variations through time in the salinization processes caused by saltwater intrusion into the aquifer, distinguishing the phase of saltwater intrusion from the phase of recovery, and their respective evolutions. Both GQI and HFE-D methods show that hydrochemical variations can be read in terms of the pattern of saltwater intrusion and groundwater quality status. But generally, in this case (i.e. saltwater and not seawater intrusion) the HFE-D method was presented better efficiency than GQI method (including GQI Piper and GQI SWI ).

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“…The majority of previous research on optimal management of SWI considered the simplified sharp interface theory, integrated with optimization tools. However, Qahman et al, (2005;2009), Bray and Yeh (2008), Dhar and Datta (2009), Lin et al (2009), Kourakos and Mantoglou (2011) and Javadi et al (2012) integrate the variable-density models directly with the optimization tools to evaluate different SWI management approaches. The numerical simulation of the variable density hydrogeological system (e.g the coastal aquifer under saltwater intrusion) suffers from computational inefficiency.…”

Section: Introductionmentioning

confidence: 99%

A surrogate model for simulation–optimization of aquifer systems subjected to seawater intrusion

Hussain

Javadi

Ahangar‐Asr

et al. 2015

Journal of Hydrology

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This study presents the application of Evolutionary Polynomial Regression (EPR) as pattern recognition system to predicate the numerical results of nonlinear and computationally complex aquifer system threatened by seawater intrusion (SWI). The developed EPR models are also linked with the multi objective genetic algorithm to test the efficiency of different arrangements of hydraulic barriers considered to control SWI. For this purpose the developed EPR model for each control scenario are trained and tested on the set of different pumping patterns as inputs and the corresponding set of numerically calculated outputs. The results are compared with those obtained by direct linking of the numerical simulation model with the optimization tool. These two strategies of the simulation-optimization (S/O) show excellent agreement on the obtained set of optimal solutions. The three combined management scenarios have been considered which involve the effects of both abstraction and recharge barriers simultaneously. Minimization of both the economic cost of management process and the salinity level in the aquifer are the two objective functions used for evaluating the cost efficiency of each management scenario studied. By considering the effects of the unsaturated zone, the subsurface pond is used to collect the water and to artificially recharge the aquifer in these scenarios. The main distinguish feature of EPR emerges in its application as metamodel in S/O process where it reduces the overall computational complexity significantly. The results also suggested that the application of cheap source of water such as the TWW and/or storm water instead of desalinated water coupled with continues abstraction water followed by its application for human consumption or irrigation after desalination as most cost effective method to control SWI. The effects of supplying these different external sources of recharge water and also the effects of different recovery ratios of desalination plant on the optimal results are also presented through sensitivity studies by using the developed methodology.

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Optimal and sustainable extraction of groundwater in coastal aquifers

Cited by 58 publications

References 38 publications

Review: Simulation-optimization models for the management and monitoring of coastal aquifers

Review: Simulation-optimization models for the management and monitoring of coastal aquifers

Assessment of seasonal groundwater quality and potential saltwater intrusion: a study case in Urmia coastal aquifer (NW Iran) using the groundwater quality index (GQI) and hydrochemical facies evolution diagram (HFE-D)

A surrogate model for simulation–optimization of aquifer systems subjected to seawater intrusion

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