Journal of the Korean earth science society (한국지구과학회지)

The Korean Earth Science Society (한국지구과학회)
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Distribution of Heavy Metals in Sediment Cores Collected from the Nakdong River, South Korea

  • Magalie, Ntahokaja (Division of Earth Environmental System Sciences, Pukyong National University) ;
  • Lee, Jiyeong (Division of Earth Environmental System Sciences, Pukyong National University) ;
  • Kang, Jihye (Department of Earth and Environmental Sciences, Pukyong National University) ;
  • Kim, Jeonghoon (Division of Earth Environmental System Sciences, Pukyong National University) ;
  • Park, Ho-Jin (Department of Earth and Environmental Sciences, Pukyong National University) ;
  • Bae, Sang Yeol (Division of Earth Environmental System Sciences, Pukyong National University) ;
  • Jeong, Seok (Division of Earth Environmental System Sciences, Pukyong National University) ;
  • Kim, Young-Seog (Division of Earth Environmental System Sciences, Pukyong National University) ;
  • Ryu, Jong-Sik (Division of Earth Environmental System Sciences, Pukyong National University)
  • Received : 2021.07.24
  • Accepted : 2021.07.30
  • Published : 2021.08.31
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Abstract

Understanding the distribution of heavy metals in sediment is necessary because labile heavy metals can partition into the water column and bioaccumulate in aquatic organisms. Here we investigated six heavy metals (Co, Cu, Mn, Ni, Pb, and Zn) in sediment cores using a five-step sequential leaching method to examine the occurrence of heavy metals in the sediment. The results showed that all elements, except Mn, are depleted in the exchangeable and carbonate fractions. However, heavy metal concentrations are much higher in the Fe-Mn oxide and organic matter fractions, especially for Cu, indicating enrichment in the organic matter fraction. Furthermore, contamination parameters (contamination factor and geoaccumulation index) indicate that Mn contamination is high, primarily derived from anthropogenic sources, presenting a potential risk to ecosystems in the Nakdong River.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grants funded by the Korea government (MSIT) (No. NRF-2019R1A2C2085973) as well as the University of Rwanda Capacity Building Project (CD20191211). We thank H. Jeong and K. Ra for their help in ICP-MS analysis.

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