[논문]Variations in Spectral Signals of Heavy Metal Contamination in Mine Soils Controlled by Mineral Assemblages

Kim, Hyesu; Yu, Jaehyung; Wang, Lei; Jeong, Yongsik; Kim, Jieun

doi:10.3390/rs12203273

[해외논문] Variations in Spectral Signals of Heavy Metal Contamination in Mine Soils Controlled by Mineral Assemblages 원문보기

Remote sensing, v.12 no.20, 2020년, pp.3273 -

Kim, Hyesu (Department of Astronomy, Space Science and Geology, Chungnam National University, Daejeon 34134, Korea) , Yu, Jaehyung (Department of Geology and Earth Environmental Sciences, Chungnam National University, Daejeon 34134, Korea) , Wang, Lei (Department of Geography & Anthropology, Louisiana State University, Baton Rouge, LA 70803, USA) , Jeong, Yongsik (Satellite Application Division, National Satellite Operation & Application Center, Korea Aerospace Research Institute (KARI), Daejeon 34133, Korea) , Kim, Jieun (Department of Astronomy, Space Science and Geology, Chungnam National University, Daejeon 34134, Korea)

Abstract ▼ AI-Helper

This paper illustrates a spectroscopic analysis of heavy metal concentration in mine soils with the consideration of mineral assemblages originated by weathering and mineralization processes. The mine soils were classified into two groups based on the mineral composition: silicate clay mineral group (Group A) and silicate-carbonate-skarn-clay mineral group (Group B). Both soil groups are contaminated with Cu, Zn, As, and Pb, while the contamination level was higher for Group A. The two groups exhibit different geochemical behaviors with different heavy metal contamination. The spectral variation associated with heavy metal was highly correlated with absorption features of clay and iron oxide minerals for Group A, and the absorption features of skarn minerals, iron oxides, and clay minerals for Group B. It indicates that the geochemical adsorption of heavy metal elements mainly occurs with clay minerals and iron oxides from weathering, and of skarn minerals, iron oxides, and clay minerals from mineralization. Therefore, soils from different secondary mineral production processes should be analyzed with different spectral models. We constructed spectral models for predicting Cu, Zn, As, and Pb in soil group A and Zn and Pb in soil group B using corresponding absorptions. Both models were statistically significant with sufficient accuracy.

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