| Records |
| Author |
Garcia*, L.A.; Shigidi, A. |
| Title |
Using neural networks for parameter estimation in ground water |
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Journal Article |
| Year |
2006 |
Publication |
Hydrogeol. J. |
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| Volume |
318 |
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215-231 |
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| Call Number |
CUT @ phaedon.kyriakidis @ Garcia2006 |
Serial |
149 |
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| Author |
Gaye, C.B. |
| Title |
Isotope techniques for monitoring groundwater salinization |
Type |
Journal Article |
| Year |
2001 |
Publication |
Hydrogeology Journal |
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| Volume |
9 |
Issue |
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Pages |
217-218 |
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THL @ christoph.kuells @ article |
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83 |
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| Author |
Faye, S.; Maloszewski, P.; Stichler, W.; Trimborn, P.; Faye, S. C.; Gaye, C. |
| Title |
Groundwater salinization in the Saloum (Senegal) delta aquifer: minor elements and isotopic indicators |
Type |
Journal Article |
| Year |
2005 |
Publication |
Science of The Total Environment |
Abbreviated Journal |
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| Volume |
343 |
Issue |
1 |
Pages |
243-259 |
| Keywords |
Minor elements, Hydrochemistry, Sorption/desorption, Mixing model, Salinization |
| Abstract |
The hydrochemistry of minor elements bromide (Br), boron (B), strontium (Sr), environmental stable isotopes (18O and 2H) together with major-ion chemistry (chloride, sodium, calcium) has been used to constrain the source(s), relative age, and processes of salinization in the Continental Terminal (CT) aquifer in the Saloum (mid-west Senegal) region. Seventy-one groundwater wells which include 24 wells contaminated by saltwater and three sites along the hypersaline Saloum River were sampled to obtain additional information on the hydrochemical characteristics of the groundwater defined in previous studies. Use of Br against Cl confirms the Saloum River saline water intrusion up to a contribution of 7% into the aquifer. In addition to this recent intrusion, a relatively ancient intrusion of the Saloum River water which had reached at least as far as 20 km south from the source was evidenced. The high molar ratio values of Sr/Cl and Sr/Ca indicate an additional input of strontium presumably derived from carbonate precipitation/dissolution reactions and also via adsorption reactions. The variable B concentrations (7–650 μg/L) found in the groundwater samples were tested against the binary mixing model to evaluate the processes of salinization which are responsible for the investigated system. Sorption of B and depletion of Na occur as the Saloum river water intrudes the aquifer (salinization) in the northern part of the region, whereas B desorption and Na enrichment occur as the fresh groundwater flushing displaces the saline waters in the coastal strip (refreshening). In the central zone where ancient intrusion prevailed, the process of freshening of the saline groundwater is indicated by the changes in major-ion chemistry as well as B desorption and Na enrichment. In addition to these processes, stable isotopes reveal that mixing with recently infiltrating waters and evaporation contribute to the changes in isotopic signature. |
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0048-9697 |
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THL @ christoph.kuells @ Faye2005243 |
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173 |
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| Author |
Huang*, P.; Y.Chiu |
| Title |
A simulation-optimization model for seawater intrusion management at Pingtung Coastal Area, Taiwan |
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Journal Article |
| Year |
2018 |
Publication |
Water |
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| Volume |
10 |
Issue |
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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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CUT @ phaedon.kyriakidis @ Huang2018 |
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141 |
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| Author |
Richter, B. C.; Kreidler, C.W. |
| Title |
Identification of Sources of Groundwater Salinization using Geochemical Techniques |
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Journal Article |
| Year |
1991 |
Publication |
EPA/600/2-91/064 |
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Pages |
259 |
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Geochemistry, USA, isotopes, salinization, ground water |
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Bureau of Economic Geology, Univ. of Austin, Texas |
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EPA |
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Editor |
Bledsoe, B.E. |
| Language |
en |
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en |
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THL @ christoph.kuells @ |
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187 |
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