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Remote Sensing for Natural Resources    2023, Vol. 35 Issue (3) : 284-291     DOI: 10.6046/zrzyyg.2022196
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Evaluating the remediation effect of heavy metal pollution in the Dexing copper mine based on hyperspectral remote sensing
WANG Jiapeng1,2(), XU Jianguo3, SHEN Jiaxiao1,2, ZHANG Dengrong1,2()
1. Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, China
2. Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou 311121, China
3. Ningbo Yuke Land Survey, Planning and Design Co., Ltd., Ningbo 315000, China
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Abstract  

Evaluating the remediation effect of heavy metal pollution in mines properly and rapidly holds considerable significance for ecological restoration and rehabilitation of mines. Based on the field-measured vegetation spectra, this study analyzed the typical spectral features of the main vegetation in the Dexing copper mining area. According to the heavy metal content in the leaves of vegetation tested in the laboratory, this study analyzed the relationship between heavy metal content and red edge position-a spectral characteristic parameter. This study calculated the red edge position of the vegetation in 2003 and 2009 using 2-scene Hyperion hyperspectral data, inferring the heavy metal enrichment in the vegetation of the mining area. Furthermore, this study evaluated the remediation effect of heavy metal pollution in the mining area. The results show that satisfactory results have been achieved from the remediation of heavy metal pollution around mine tailings nos. 1 and 2 in typical reclamation areas. Compared with 2003, 2009 witnessed generally satisfactory remediation effects of heavy metal pollution, with most areas being remedied and some newly polluted areas requiring remediation. The method proposed in this study can achieve a quick and reasonable evaluation of the remediation effect of large-scale heavy metal pollution in mining areas.
Keywords spectral feature      red edge position      remediation of heavy metal pollution      hyperspectrum      Dexing copper mine     
ZTFLH:  TP79  
Issue Date: 19 September 2023
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Jiapeng WANG
Jianguo XU
Jiaxiao SHEN
Dengrong ZHANG
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Jiapeng WANG,Jianguo XU,Jiaxiao SHEN, et al. Evaluating the remediation effect of heavy metal pollution in the Dexing copper mine based on hyperspectral remote sensing[J]. Remote Sensing for Natural Resources, 2023, 35(3): 284-291.
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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2022196     OR     https://www.gtzyyg.com/EN/Y2023/V35/I3/284
Fig.1  Location of the study area
采样点 Pb Cu Cd Mn Zn
1号尾矿库 4.4 19.0 0.15 46 21
2号尾矿库 3.5 12.0 0.10 100 36
背景值 3.1 6.9 0.08 232 25
Tab.1  Heavy metal content in leaves of thatch in different tailings reservoirs(mg·kg-1)
Fig.2  Hyperion image after atmospheric correction
Fig.3  The overall technical route
Fig.4  Spectral curves of thatch and rhus chinensis
Fig.5  Red edge position of vegetation in Dexing copper mine in 2003 and 2009
Fig.6  Comparisons of the number of pixels in the same red edge position intervals in 2003 and 2009
Fig.7  Compared with 2003, the distribution of repaired and newly polluted areas in 2009
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