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
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.
王嘉芃, 徐建国, 沈家晓, 张登荣. 德兴铜矿矿山重金属污染修复效果高光谱遥感评价[J]. 自然资源遥感, 2023, 35(3): 284-291.
WANG Jiapeng, XU Jianguo, SHEN Jiaxiao, ZHANG Dengrong. Evaluating the remediation effect of heavy metal pollution in the Dexing copper mine based on hyperspectral remote sensing. Remote Sensing for Natural Resources, 2023, 35(3): 284-291.
De Simoni B S, Leite M G P. Assessment of rehabilitation projects results of a gold mine area using landscape function analysis[J]. Applied Geography, 2019, 108:22-29.
doi: 10.1016/j.apgeog.2019.05.005
Li G Z. Upgrading and reshaping of mine geological restoration mode from the perspective of green development[J]. Journal of China University of Mining and Technology(Social Sciences), 2019(3):92-104.
Yin Y Q, Jiang C H, Ju X, et al. Remote sensing evaluation of mine geological environment of Hainan Island in 2018 and ecological restoration countermeasures[J]. Remote Sensing for Natural Resources, 2022, 34(2):194-202.doi:10.6046/zrzyyg.2021136.
doi: 10.6046/zrzyyg.2021136
[4]
Vicenc C, Oriol O, Josep M A. RESTOQUARRY:Indicators for self-evaluation of ecological restoration in open-pit mines[J]. Ecological Indicators, 2019, 102:437-445.
doi: 10.1016/j.ecolind.2019.03.001
[5]
Hou X Y, Liu S H, Zhao S, et al. Interaction mechanism between floristic quality and environmental factors during ecological restoration in a mine area based on structural equation modeling[J]. Ecological Engineering, 2018, 124:23-30.
doi: 10.1016/j.ecoleng.2018.09.021
Yang L Y, Gao X H, Zhang W, et al. The estimating heavy metal concentrations in topsoil from vegetation reflectance spectra of Hyperion images:A case study of Yushu County,Qinghai,China[J]. Chinese Journal of Applied Ecology, 2016, 27(6):1775-1784.
Li S Y, Liu Z W, Liu K, et al. Advances in application of space hyperspectral remote sensing(invited)[J]. Infrared and Laser Engineering, 2019, 48(3):0303001.
doi: 10.3788/IRLA
Li Q T, Yang F J, Zhang B, et al. Biogeochemistry responses and spectral characteristics of rhus chinensis mill under heavy metal contamination stress[J]. Journal of Remote Sensing, 2008, 12(2):284-290.
Ren H Y, Zhuang D F, Pan J J, et al. Study on canopy spectral characteristics of paddy polluted by heavy metals[J]. Spectroscopy and Spectral Analysis, 2010, 30(2):430-434.
Zhao T, Wang A J, Xia J Z. The spectral response of typical vegetation leaves to heavy metal pollution in Jishui River basin[J]. Remote Sensing for Land and Resources, 2010, 22(2):46-54.doi:10.6046/gtzyyg.2010.02.11.
doi: 10.6046/gtzyyg.2010.02.11
[12]
Liu M L, Liu X N, Wu L, et al. Wavelet-based detection of crop zinc stress assessment using hyperspectral reflectance[J]. Computers and Geosciences, 2011, 37:1254-1263.
doi: 10.1016/j.cageo.2010.11.019
Chen S B, Zhou C, Wang J N. Vegetation stress spectra and their relations with the contents of metal elements within the plant leaves in metal mines in Heilongjiang[J]. Spectroscopy and Spectral Analysis, 2012, 32(5):1310-1315.
[14]
Deventer H V, Cho M A. Assessing leaf spectral properties of Phragmites australis impacted by acid mine drainage[J]. South African Journal of Science, 2014, 110:1-12.
Zhu Y Q, Qu Y H, Liu S H, et al. Spectral response of wheat and lettuce to copper pollution[J]. Journal of Remote Sensing, 2014, 18(2):335-352.
[16]
Song L, Jian J, Tan D J, et al. Estimate of heavy metals in soil and streams using combined geochemistry and field spectroscopy in Wan-sheng mining area,Chongqing,China[J]. International Journal of Applied Earth Observation and Geoinformation, 2015, 34:1-9.
doi: 10.1016/j.jag.2014.06.013
[17]
Zheng T, Liu N, Wu L, et al. Estimation of chlorophyll content in potato leaves based on spectral red edge position[J]. IFAC-Papers OnLine, 2018, 51(17):602-606.
[18]
Li D, Cheng T, Zhou K, et al. WREP:A wavelet-based technique for extracting the red edge position from reflectance spectra for estimating leaf and canopy chlorophyll contents of cereal crops[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2017(129):103-117.
[19]
Prabir K D, Karun K C, Laxman B, et al. A modified linear extrapolation approach towards red edge position detection and stress monitoring of wheat crop using hyperspectral data[J]. International Journal of Remote Sensing, 2014, 35(4):1432-1449.
doi: 10.1080/01431161.2013.877616
[20]
Pu R L, Gong P, Biging G S, et al. Extraction of red edge optical parameters from Hyperion data for estimation of forest leaf area index[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003(41):916-921.
Yao F Q, Zhang Z H, Yang R Y, et al. Hyperspectral models for estimating vegetation chlorophyll content based on red edge parameter[J]. Transactions of the Chinese Society of Agricultural Engineering, 2009, 25(s2):123-129.
She B, Huang J F, Shi J J, et al. Extracting oilseed rape growing regions based on variation characteristics of red edge position[J]. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(15):145-152.
[23]
Zhu L H, Chen Z X, Wang J J, et al. Monitoring plant response to phenanthrene using the red edge of canopy hyperspectral reflectance[J]. Marine Pollution Bulletin, 2014(86):332-341.
Zhang J W, Wang Z L, Tan X M, et al. Estimation of corn chlorophyll content using different red edge position algorithms[J]. Journal of Zhejiang University (Agriculture and Life Sciences), 2021, 47(4):464-472.
Gan F P, Liu S W, Zhou Q. Identification of mining pollution using Hyperion data at Dexing copper mine in Jiangxi Province,China[J]. Earth Science(Journal of China University of Geosciences), 2004, 29(1):119-126.
Fu Z, Xiao R L, Shen W M, et al. Monitoring and analysis of the impacts of soil heavy metal pollution on vegetation in typical mining areas using remote sensing imageries:A case study of Jiangxi Dexing copper mine[J]. Environment and Sustainable Development, 2016, 41(6):66-68.
Xue L H, Yang L Z. Comparative study on estimation of chlorophyll content in spinach leaves using various red edge position extraction techniques[J]. Transactions of the Chinese Society of Agricultural Engineering, 2008, 24(9):165-169.
Zhang Y H, Guo X C, Chu W D, et al. Estimation model of schima superba leaf chlorophyll content based on red edge position[J]. Infrared and Laser Engineering, 2013, 42(3):798-804.
Ma D H, Ke C Q. Research on spectral characteristics of winter typical vegetation in Nanjing[J]. Remote Sensing Technology and Application, 2016, 31(4):702-708.
Wu J Y, Yang X D, Zhang F J, et al. Seasonal characteristics of spectral reflectance of korean pine leaves in the gold mine area of Zhaoyuan City in Shandong Province[J]. Journal of Remote Sensing, 1997, 1(2):124-128.
Zhang H X, Yao L W, Xiong B G, et al. Study on the eco-recover test of waste land of 1# tailings bank in Dexing copper mine[J]. Environment and Exploitation, 1999, 14(1):10-11.