2021
DOI: 10.1111/gwat.13083
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Multi‐Constrained Catchment Scale Optimization of Groundwater Abstraction Using Linear Programming

Abstract: Due to increasing water demands globally, freshwater ecosystems are under constant pressure. Groundwater resources, as the main source of accessible freshwater, are crucially important for irrigation worldwide. Over-abstraction of groundwater leads to declines in groundwater levels; consequently, the groundwater inflow to streams decreases. The reduction in baseflow and alteration of the streamflow regime can potentially have an adverse effect on groundwater-dependent ecosystems. A spatially distributed, coupl… Show more

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Cited by 9 publications
(2 citation statements)
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“…Another cause for concern related to ecological processes is the effects of groundwater abstraction on gaining reaches of rivers and groundwater-dependent wetlands, since alteration of the streamflow regime can potentially have an adverse effect (Danapour et al, 2021). It remains unclear whether the magnitude of these changes can be comparable with natural variations (Johansen et al, 2011(Johansen et al, , 2014, and ultimately it will depend on the amount of groundwater extracted and the hydraulic connectivity between groundwater and wetlands/streams.…”
Section: Ecological Processes Linked To Groundwater-surface Water Int...mentioning
confidence: 99%
“…Another cause for concern related to ecological processes is the effects of groundwater abstraction on gaining reaches of rivers and groundwater-dependent wetlands, since alteration of the streamflow regime can potentially have an adverse effect (Danapour et al, 2021). It remains unclear whether the magnitude of these changes can be comparable with natural variations (Johansen et al, 2011(Johansen et al, , 2014, and ultimately it will depend on the amount of groundwater extracted and the hydraulic connectivity between groundwater and wetlands/streams.…”
Section: Ecological Processes Linked To Groundwater-surface Water Int...mentioning
confidence: 99%
“…Only a few studies to date have used a simulation–optimization (SO) framework together with a groundwater model to determine optimal MAR locations based on different sets of model parameters that are dependent on several decision variables in the optimization problem). Most of these studies have focused on groundwater remediation (Cunha, 2002; Yeh, 2015; Zheng & Wang, 1999), groundwater abstractions (Danapour et al., 2021; Datta & Kourakos, 2015), and coastal aquifer management (Kourakos & Mantoglou, 2015) and only a few have been applied to MAR. The few studies that have used SO frameworks for MAR have solely focused on aquifer storage and recovery (Al‐Maktoumi et al., 2020; Forghani & Peralta, 2018; Hernandez et al., 2014; Marchi et al., 2016).…”
Section: Introductionmentioning
confidence: 99%