First strontium isotope map of groundwater in South Korea: applications for identifying the geographical origin.

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Date: Apr. 2021
From: Geosciences Journal(Vol. 25, Issue 2)
Publisher: Springer
Document Type: Report; Brief article
Length: 348 words

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Abstract :

Keywords: interpolation map; strontium isotope ratios (.sup.87Sr/.sup.86Sr); geographical origin; groundwater; South Korea Abstract In recent, strontium isotope ratios [(.sup.87]Sr/ [.sup.86]Sr) have been commonly used as a geochemical tracer to investigate the geographic origin in various research fields, just comparing the data between samples. However, in forensic contexts it is much more important to predict and identify the origin for unknown samples rather than to compare the samples. Here, we collected about 500 groundwater samples from the National Groundwater Monitoring Wells in South Korea and measured their 87.sup.Sr/ [.sup.86]Sr ratios representative of bioavailable 87.sup.Sr/ [.sup.86]Sr ratios. The 87.sup.Sr/ [.sup.86]Sr ratios of the samples ranged from 0.70540 to 0.86108, with a mean of 0.71890 ± 0.01509 (n = 504), reflecting the bedrock lithologies. Furthermore, the best interpolation methods were investigated using the measured 87.sup.Sr/ [.sup.86]Sr ratios. The result indicates that the radical based function including spline with tension (RBF-ST) is the best interpolation method in terms of the prediction errors. Resulting strontium isotope map interpolated with RBF-ST mimics lithological distribution in South Korea. In order to evaluate the accuracy of the interpolation map, two animal bone samples were collected from two different provinces and measured their 87.sup.Sr/ [.sup.86]Sr ratios. Although the estimated and measured 87.sup.Sr/ [.sup.86]Sr ratios are not completely constant, the estimated 87.sup.Sr/ [.sup.86]Sr ratios are within the range of those of groundwater samples near the site where the bone samples were collected, indicating that the interpolation map generated in this study can be used as a back-tracking technique to identify the geographical origin of unknown samples. Author Affiliation: (1) Division of Earth and Environmental Sciences, Korea Basic Science Institute, 28119, Chungbuk, Republic of Korea (2) Department of Earth and Environmental Sciences, Pukyong National University, 48513, Busan, Republic of Korea (3) Department of Soil & Groundwater, Korea Environment Corporation, 22689, Incheon, Republic of Korea (4) Chemical Analysis Division, National Forensic Service, 26460, Gangwon, Republic of Korea (b) Article History: Registration Date: 06/10/2020 Received Date: 04/28/2019 Accepted Date: 03/20/2020 Online Date: 06/11/2020 Byline: Woo-Jin Shin (1), Jong-Sik Ryu (corresponding author) (1, 2, b), Rak-Hyeon Kim (3), Ji-Sook Min (4)

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Gale Document Number: GALE|A654818581