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http://dx.doi.org/10.9720/kseg.2016.3.371

Evaluation of Saltwater Intrusion to Coastal Aquifer by Using Probability Statistics  

Cheong, Jae-Yeol (R&D Institute, Korea Radioactive Waste Agency)
Hamm, Se-Yeong (Department of Geological Sciences, Pusan National University)
Kim, Kwang-Koo (Water and Transportation Center, Environmental Technology Division, Korea Testing Laboratory)
Lee, Chung-Mo (Department of Geological Sciences, Pusan National University)
Jeon, Hang-Tak (Department of Geological Sciences, Pusan National University)
Ok, Soon-Il (LILW disposal center, Korea Radioactive Waste Agency)
Publication Information
The Journal of Engineering Geology / v.26, no.3, 2016 , pp. 371-382 More about this Journal
Abstract
Saltwater intrusion in coastal regions can be detected by using numerous geochemical constituents in groundwater. However, insufficient numbers of groundwater data can often make us difficult to interpret saltwater intrusion. Probability statistics technique enables statistical prediction using a limited numbers of water quality data for a wider range and can make to effectively evaluate saltwater intrusion through a characterized distribution of probability. This study evaluated saltwater intrusion by applying probability statistics to the chemical constituents in groundwater, coastal discharge, and stream water in the coastal areas of Busan City. By the result of the study, it is proven that Na+, Mg2+, K+, SO42−, and Cl−, abundantly contained in seawater, are valuable indicators for evaluating saltwater intrusion. On the other hand, it is judged that Si4+, Fe2+, NO3−, and PO43−, showing similar probability distribution in groundwater, coastal discharge, and stream water, are not appropriate indicators for the detection of saltwater intrusion.
Keywords
saltwater intrusion; probability statistics; geochemical constituents; QI (Qualitative Index); coastal aquifer;
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Times Cited By KSCI : 2  (Citation Analysis)
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