1995
DOI: 10.1016/0309-1708(95)00004-3
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Maximizing conjunctive use of surface and ground water under surface water quality constraints

Abstract: A simulation/optimization (sfo) model is presented to address the increasingly common conflicts between wate~ quantity and quality objectives. The model can assist water * x denotes a particular stimuli y denotes an index for a nested-DO loop

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Cited by 44 publications
(16 citation statements)
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“…Thus, there is an urgent need to alleviate the demand on the upper aquifers and explore more sustainable sources to augment the present water supply. One potential solution is the conjunctive use of groundwater and surface water in order to maintain the balance between anthropogenic demand and water's natural availability for usage and recharge (Onta et al 1991;Ejaz and Peralta 1995;Emch and Yeh 1998).…”
Section: Introductionmentioning
confidence: 99%
“…Thus, there is an urgent need to alleviate the demand on the upper aquifers and explore more sustainable sources to augment the present water supply. One potential solution is the conjunctive use of groundwater and surface water in order to maintain the balance between anthropogenic demand and water's natural availability for usage and recharge (Onta et al 1991;Ejaz and Peralta 1995;Emch and Yeh 1998).…”
Section: Introductionmentioning
confidence: 99%
“…A simulation-optimization model was presented by Ejaz and Peralta (1995) to address the conflicts between water quantity and quality objective. The response matrix approach was used to link the simulation and optimization models.…”
Section: Simulation-optimization Modelingmentioning
confidence: 99%
“…As pointed out by de Wrachien and Fasso (2002), properly managed integrated water resources systems can yield more water with more economic rates than those separately managed surface-water or groundwater systems. Conjunctive use of surface water and groundwater has been extensively studied and a number of methods/techniques have been reported for supporting conjunctive water use planning and management (Ejaz and Peralta, 1995;Başaǧaoǧlu and Mariňo, 1999;Azaiez, 2002;Mohan and Jothiprakash, 2003;Pulido-Velazquez et al, 2008;Matrosov et al, 2011;Shi et al, 2012;Bejranonda et al, 2013;Khan et al, 2014). Although the existing water resources management systems have abilities to tackle interannual variability, they encounter difficulties in addressing long-term trends.…”
Section: Introductionmentioning
confidence: 99%