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Author Zhaoyong*, Z.; Abuduwaili, J.; Yimit, H.
Title The occurrence, sources and spatial characteristics of soil salt and assessment of soil salinization risk in Yanqi Basin, Northwest China Type Journal Article
Year 2014 Publication PLoS ONE Abbreviated Journal
Volume (up) 9(9) Issue Pages 106079
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Call Number CUT @ phaedon.kyriakidis @ Zhaoyong2014 Serial 121
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Author Ranjbar*, A.; Ehteshami, M.
Title Spatio‑temporal mapping of salinity in the heterogeneous coastal aquifer Type Journal Article
Year 2019 Publication Appl. Water Sci. Abbreviated Journal
Volume (up) 9 Issue Pages 32
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Call Number CUT @ phaedon.kyriakidis @ Ranjbar2019 Serial 137
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Author Mallick, J.; Singh, C.K.; AlMesfer, M.K.; Kumar, A.; Khan, R.A.; Islam, S.; Rahman, A.
Title Hydro-geochemical assessment of groundwater quality in Aseer Region, Saudi Arabia Type Journal Article
Year 2018 Publication Water Abbreviated Journal
Volume (up) 10 Issue Pages 1847
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Call Number CUT @ phaedon.kyriakidis @ Mallick2018 Serial 120
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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 (up) 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 CUT @ phaedon.kyriakidis @ Huang2018 Serial 141
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Author Cui, G.; Lu, Y.; Zheng, C.; Liu, Z.; Sai, J.
Title Relationship between soil salinization and groundwater hydration in Yaoba Oasis, Northwest China Type Journal Article
Year 2019 Publication Water Abbreviated Journal
Volume (up) 11 Issue 1 Pages 175
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Abstract Precipitation is scarce and evaporation is intense in desert areas. Groundwater is used as the main water source to develop agriculture in the oases. However, the effects of using groundwater on the ecological environment elicit widespread public concern. This study investigated the relationship between soil salinity and groundwater characteristics in Yaoba Oasis through in situ experiments. The relationship of the mineral content, pH, and main ion content of groundwater with soil salt was quantitatively evaluated through a gray relational analysis. Four main results were obtained. First, the fresh water area with low total dissolved solid (TDS) was usually HCO3− or SO42− type water, and salt water was mostly Cl− and SO42−. The spatial distribution of main ions in groundwater during winter irrigation in November was basically consistent with that during spring irrigation in June. However, the spatial distribution of TDS differed in the two seasons. Second, soil salinization in the study area was severe, and the salinization rate reached 72.7%. In this work, the spatial variability of soil salinization had a relatively large value, and the values in spring were greater than those in autumn. Third, the soil in the irrigated area had a high salt content, and the salt ion content of surface soil was higher than that of subsoil. A piper trilinear diagram revealed that Ca2+ and K+ + Na+ were the main cations. SO42−, Cl−, and HCO3− were the main anions, and salinization soil mainly contained SO42−. Fourth, the changes in soil salt and ion contents in the 0–10 cm soil layer were approximately similar to those of irrigation water quality, both of which showed an increasing trend. The correlation of surface soil salinity with the salinity of groundwater and its chemical components was high. In summary, this study identified the progress of irrigation water quality in soil salinization and provided a scientific basis for improving the oasis ecosystem, maintaining the healthy development of agriculture, managing oasis water resources, and policy development. Our

findings can serve as a reference for other, similar oasis research.
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Call Number THL @ luqianxue.zhang @ Cui2019 Serial 46
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