Variations in Spectral Signals of Heavy Metal Contamination in Mine Soils Controlled by Mineral Assemblages
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...
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MDPI AG
2020-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/20/3273 |
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| author | Hyesu Kim Jaehyung Yu Lei Wang Yongsik Jeong Jieun Kim |
| author_facet | Hyesu Kim Jaehyung Yu Lei Wang Yongsik Jeong Jieun Kim |
| author_sort | Hyesu Kim |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T15:46:36Z |
| format | Article |
| id | doaj.art-48d65362dba24e9b81f979e271a4faa0 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T15:46:36Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-48d65362dba24e9b81f979e271a4faa02023-11-20T16:26:06ZengMDPI AGRemote Sensing2072-42922020-10-011220327310.3390/rs12203273Variations in Spectral Signals of Heavy Metal Contamination in Mine Soils Controlled by Mineral AssemblagesHyesu Kim0Jaehyung Yu1Lei Wang2Yongsik Jeong3Jieun Kim4Department of Astronomy, Space Science and Geology, Chungnam National University, Daejeon 34134, KoreaDepartment of Geology and Earth Environmental Sciences, Chungnam National University, Daejeon 34134, KoreaDepartment of Geography & Anthropology, Louisiana State University, Baton Rouge, LA 70803, USASatellite Application Division, National Satellite Operation & Application Center, Korea Aerospace Research Institute (KARI), Daejeon 34133, KoreaDepartment of Astronomy, Space Science and Geology, Chungnam National University, Daejeon 34134, KoreaThis 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.https://www.mdpi.com/2072-4292/12/20/3273heavy metal contaminationweatheringmineralizationmineral compositionregression analysisspectroscopy |
| spellingShingle | Hyesu Kim Jaehyung Yu Lei Wang Yongsik Jeong Jieun Kim Variations in Spectral Signals of Heavy Metal Contamination in Mine Soils Controlled by Mineral Assemblages Remote Sensing heavy metal contamination weathering mineralization mineral composition regression analysis spectroscopy |
| title | Variations in Spectral Signals of Heavy Metal Contamination in Mine Soils Controlled by Mineral Assemblages |
| title_full | Variations in Spectral Signals of Heavy Metal Contamination in Mine Soils Controlled by Mineral Assemblages |
| title_fullStr | Variations in Spectral Signals of Heavy Metal Contamination in Mine Soils Controlled by Mineral Assemblages |
| title_full_unstemmed | Variations in Spectral Signals of Heavy Metal Contamination in Mine Soils Controlled by Mineral Assemblages |
| title_short | Variations in Spectral Signals of Heavy Metal Contamination in Mine Soils Controlled by Mineral Assemblages |
| title_sort | variations in spectral signals of heavy metal contamination in mine soils controlled by mineral assemblages |
| topic | heavy metal contamination weathering mineralization mineral composition regression analysis spectroscopy |
| url | https://www.mdpi.com/2072-4292/12/20/3273 |
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