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Author Hermans*, T.; Vandenbohede, A.; Lebbe, L.; Martin, R.; Kemna, A.; Beaujean, J.; Nguyen, F.
Title Imaging artificial salt water infiltration using electrical resistivity tomographyconstrained by geostatistical data Type Journal Article
Year 2012 Publication J. Hydrol. Abbreviated Journal
Volume 438–439 Issue Pages 168-180
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Call Number (up) CUT @ phaedon.kyriakidis @ hermans2012 Serial 111
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Author Hooshmand, A.; Delghandi, M.; Izadi, A.; Aali, K.A.
Title Application of kriging and cokriging in spatial estimation of groundwater quality parameters Type Journal Article
Year 2011 Publication Afr. J. Agric. Res. Abbreviated Journal
Volume 6 (14) Issue Pages 3402-3408
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ISSN 1991-637x ISBN Medium
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Call Number (up) CUT @ phaedon.kyriakidis @ Hooshmand2011 Serial 133
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Author Huang*, P.; Y.Chiu
Title A simulation-optimization model for seawater intrusion management at Pingtung Coastal Area, Taiwan Type Journal Article
Year 2018 Publication Water Abbreviated Journal
Volume 10 Issue Pages 251
Keywords seawater intrusion; SEAWAT; management model; artificial neural networks; differential evolution; Pingtung Plain; Taiwan
Abstract The coastal regions of Pingtung Plain in southern Taiwan rely on groundwater as their main source of fresh water for aquaculture, agriculture, domestic, and industrial sectors. The availability of fresh groundwater is threatened by unsustainable groundwater extraction and the over-pumpage leads to the serious problem of seawater intrusion. It is desired to find appropriate management strategies to control groundwater salinity and mitigate seawater intrusion. In this study, a simulation–optimization model has been presented to solve the problem of seawater intrusion along the coastal aquifers in Pingtung Plain and the objective is using injection well barriers and minimizing the total injection rate based on the pre-determined locations of injection barriers. The SEAWAT code is used to simulate the process of seawater intrusion and the surrogate model of artificial neural networks (ANNs) is used to approximate the seawater intrusion (SWI) numerical model to increase the computational efficiency during the optimization process. The heuristic optimization scheme of differential evolution (DE) algorithm is selected to identify the global optimal management solution. Two different management scenarios, one is the injection barriers located along the coast and the other is the injection barrier located at the inland, are considered and the optimized results show that the deployment of injection barriers at the inland is more effective to reduce total dissolved solids (TDS) concentrations and mitigate seawater intrusion than that along the coast. The computational time can be reduced by more than 98% when using ANNs to replace the numerical model and the DE algorithm has been confirmed as a robust optimization scheme to solve groundwater management problems. The proposed framework can identify the most reliable management strategies and provide a reference tool for decision making with regard to seawater intrusion remediation.
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Call Number (up) CUT @ phaedon.kyriakidis @ Huang2018 Serial 141
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Author Hussain*, M.S.; Javadi, A.A.; Asr, A.A.; Farmani, R.
Title A surrogate model for simulation-optimization of aquifer systems subjected to seawater intrusion Type Journal Article
Year 2015 Publication J. Hydrol. Abbreviated Journal
Volume 523 Issue Pages 542-554
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Call Number (up) CUT @ phaedon.kyriakidis @ hussain2015 Serial 114
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Author Isaaks*, E.H.; Srivastava, R.M.
Title An introduction to applied geostatistics Type Book Whole
Year 1989 Publication Abbreviated Journal
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Publisher Oxford University Press, New York Place of Publication Editor
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ISSN ISBN 0-19-505012-6 Medium
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Call Number (up) CUT @ phaedon.kyriakidis @ Isaaks1989 Serial 160
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