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Table 3

Selected works optimizing conjunctive use of surface water and ground water

ReferenceSimulation modelOptimization methodResearch goalCoupling methodCase study
Wu et al. (2015)  GSFLOW S-b (DYCORS) Optimizing the conjunctive use of SW and GW for irrigation Embedding technique China 
Wu et al. (2015)  GSFLOW S-b (SVM) Optimizing the conjunctive use of SW and GW for irrigation in a semi-arid region Embedding technique China 
Peralta et al. (2014)  MODFLOW ANN-NSGA Maximizing water supply and hydropower production, minimizing distribution costs Embedding technique USA 
Parsapour-Moghaddam et al. (2015)  MODFLOW GA-game theory Developing conjunctive water use strategies to control groundwater table, while users behave non-cooperatively Embedding technique Iran 
Yu et al. (2013)  PIHM CMA-ES Calibrating model efficiently Matrix USA 
Khu et al. (2008)  MIKE SHE PO-GA Calibrating model via multi-objective approach Embedding technique Denmark 
Condon & Maxwell (2013)  PARFLOW LP Optimizing the pumping and diversion schedule to satisfy the irrigation need Matrix USA 
Christelis et al. (2018)  HGS S-b (CRF augmented with a linear polynomial tail) Optimization pumping in coastal aquifers Embedding technique – 
An et al. (2018)  HGS S-based (KRG) Identifying optimal parameter values for a GW-SW simulation Embedding technique – 
Christelis et al. (2019)  HGS S-b (CRF and KRG) Comparing single and multiple surrogate models for single objective pumping optimization in coastal aquifer Embedding technique Greece 
Christelis & Mantoglou (2016)  HGS S-b (CRF) Optimization pumping in coastal aquifers Embedding technique Greece 
ReferenceSimulation modelOptimization methodResearch goalCoupling methodCase study
Wu et al. (2015)  GSFLOW S-b (DYCORS) Optimizing the conjunctive use of SW and GW for irrigation Embedding technique China 
Wu et al. (2015)  GSFLOW S-b (SVM) Optimizing the conjunctive use of SW and GW for irrigation in a semi-arid region Embedding technique China 
Peralta et al. (2014)  MODFLOW ANN-NSGA Maximizing water supply and hydropower production, minimizing distribution costs Embedding technique USA 
Parsapour-Moghaddam et al. (2015)  MODFLOW GA-game theory Developing conjunctive water use strategies to control groundwater table, while users behave non-cooperatively Embedding technique Iran 
Yu et al. (2013)  PIHM CMA-ES Calibrating model efficiently Matrix USA 
Khu et al. (2008)  MIKE SHE PO-GA Calibrating model via multi-objective approach Embedding technique Denmark 
Condon & Maxwell (2013)  PARFLOW LP Optimizing the pumping and diversion schedule to satisfy the irrigation need Matrix USA 
Christelis et al. (2018)  HGS S-b (CRF augmented with a linear polynomial tail) Optimization pumping in coastal aquifers Embedding technique – 
An et al. (2018)  HGS S-based (KRG) Identifying optimal parameter values for a GW-SW simulation Embedding technique – 
Christelis et al. (2019)  HGS S-b (CRF and KRG) Comparing single and multiple surrogate models for single objective pumping optimization in coastal aquifer Embedding technique Greece 
Christelis & Mantoglou (2016)  HGS S-b (CRF) Optimization pumping in coastal aquifers Embedding technique Greece 

S-b, surrogate-based; DYCORS, Dynamic Coordinate search using Response Surface models; SVM, support vector machines; CMA-ES, covariance matrix adaptation evolution strategy; PO-GA, preference order genetic algorithm; LP, linear programming; KRG, kriging; and CRF, cubic radial basis functions.

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