Heavy Metal Contamination Index Using Spectral Variables for White Precipitates Induced by Acid Mine Drainage: A Case Study of Soro Creek, South Korea

Lim, Jeonghwa; Yu, Jaehyung; Wang, Lei; Jeong, Yongsik; Shin, Ji Hye

doi:10.1109/tgrs.2019.2893664

Cited by 11 publications

(7 citation statements)

References 49 publications

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“…The method provides sufficient levels of accuracy for the most of elements except light elements and cobalt [30][31][32][33][34]. Indeed, many previous studies used this method for heavy metal contamination analyses [4,5,21,[35][36][37]. Furthermore, the method enables the rigorous correlation analysis between the chemical concentration and spectral characteristics of samples because the instruments can read from the same spot of a sample [4,5,21,22].…”

Section: Mineralogical and Chemical Analysismentioning

confidence: 99%

“…Soils are often contaminated with heavy metal elements from both natural and anthropological process. Notably, mining is one of the major human activities that contaminate soils, and the contamination was transported in the drainage system and has caused serious problems in eco-systems [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

“…To overcome the site-specific issues of spectroscopic analysis, recent studies considered mineral composition and interpreted the spectral signals of heavy metal concentration with reaction agents between heavy metal cations and bonding minerals [4,5,21,22]. Jeong et al [5] reported hydrothermal alteration minerals were the major reaction agents for tailing soils of a hydrothermal deposit where major spectral signals are located at SWIR region.…”

Section: Introductionmentioning

confidence: 99%

“…Shin et al [21] found clay minerals and carbonate minerals as main producers of spectral signals to indicate heavy metal concentration in mining soils of a hydrothermal ore deposit. Lim et al [4] identified secondary minerals as major association with heavy metal contamination in white precipitates induced by acid mine drainage. Shin et al [22] identified spectral interference between spectral signals of moisture content and heavy metal concentration.…”

Section: Introductionmentioning

confidence: 99%

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

Kim

Wang

et al. 2020

Remote Sensing

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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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Section: Mineralogical and Chemical Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

Kim

Wang

et al. 2020

Remote Sensing

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“…At the surface, the AMD stream is diluted by rain or surface water which leads to an increase of the pH values with white precipitation products in the AMD stream. The precipitation products contain mainly crystalline and amorphous aluminium phases [10] which adsorb other metals. Heavy metals are generally removed by iron precipitation.…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Fly Ash and Red Mud as Strategies for Sustainable Acid Mine Drainage Management

et al. 2020

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Acid mine drainage (AMD), red mud (RM) and coal fly ash (CFA) are potential high environmental pollution problems due to their acidity, toxic metals and sulphate contents. Treatment of acidic mine water requires the generation of enough alkalinity to neutralize the excess acidity. Therefore, red mud types from Germany and Greece were chosen for the neutralization of AMD from South Africa, where this problem is notorious. Because of the high alkalinity, German red mud is the most promising precipitation agent achieving the highest pH-values. CFA is less efficient for a neutralization and precipitation process. An increase in temperature increases the adsorption kinetics. The maximum pH-value of 6.0 can be reached by the addition of 100 g German red mud at 20 °C to AMD-water with an initial pH value of 1.9. German red mud removes 99% of the aluminium as aluminium hydroxide at pH 5.0. The rare earth elements (yttrium and cerium) are adsorbed by Greek red mud with an efficiency of 50% and 80% at 60 °C in 5 min, respectively.

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Assessing toxic metal chromium in the soil in coal mining areas via proximal sensing: Prerequisites for land rehabilitation and sustainable development

Wang

Shi

et al. 2022

Geoderma

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Heavy Metal Contamination Index Using Spectral Variables for White Precipitates Induced by Acid Mine Drainage: A Case Study of Soro Creek, South Korea

Cited by 11 publications

References 49 publications

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

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

Effectiveness of Fly Ash and Red Mud as Strategies for Sustainable Acid Mine Drainage Management

Assessing toxic metal chromium in the soil in coal mining areas via proximal sensing: Prerequisites for land rehabilitation and sustainable development

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