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Monitoring the effects of open-pit mining on the eco-environment using a moving window-based remote sensing ecological index

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Abstract

Environmental problems caused by mines have been increasing. As one of the most serious types of mining damage caused to the eco-environment, open pits have been the focus of monitoring and management. Previous studies have obtained effective results when evaluating the ecological quality of a mining area by using the remote sensing ecological index (RSEI). However, the calculation of RSEI does not consider that the ecological environmental impact is limited under natural conditions. To overcome this shortcoming, this paper proposes an improved RSEI based on a moving window model, namely the moving window-based remote sensing ecological index (MW-RSEI). This improved index is more in agreement with the First Law of Geography than RSEI. This study uses Landsat ETM/OLI/TIRS images to extract MW-RSEI information of a case area in Zhengzhou City, Henan Province, central China, in 2009 and 2018. The results revealed that the average value of MW-RSEI declined from 0.668 to 0.611 from 2009 to 2018, and the main drivers of the deterioration of the eco-environment were land use/cover (LUCC) changes, most of which were derived from urban expansion and mining. The serious impact of open pits on the eco-environment in mining areas is mainly due to their low vegetation cover; therefore, some effectively managed open pits can have a positive impact on the mining environment. The use of MW-RSEI provides valuable information on the eco-environment surrounding the open pit, which can be used for the rapid and effective monitoring of the eco-environment in mining areas.

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References

  • Alden MG (2009) Remote sensing techniques for monitoring coal surface mining and reclamation in the Powder River Basin. Doctoral dissertation, Ohio University

  • Antwi EK, Krawczynski R, Wiegleb G (2008) Detecting the effect of disturbance on habitat diversity and land cover change in a post-mining area using GIS. Landsc Urban Plan 87(1):22–32

    Google Scholar 

  • Burkhard B, Kroll F, Nedkov S, Müller F (2012) Mapping ecosystem service supply, demand and budgets. Ecol Indic 21:17–29

    Google Scholar 

  • Calder AJ, Burton AM, Miller P, Young AW, Akamatsu S (2001) A principal component analysis of facial expressions. Vis Res 41(9):1179–1208

    CAS  Google Scholar 

  • Chavez PS (1996) Image-based atmospheric corrections-revisited and improved. Photogramm Eng Remote Sens 62(9):1025–1035

    Google Scholar 

  • Cheng WL, Liu YH, Guan CH, Wang JY (2010) The discussion about the scope of ecological impact assessment. Environ Sci Manag 35(12):185–189 (in Chinese)

    Google Scholar 

  • Crist EP (1985) A TM tasseled cap equivalent transformation for reflectance factor data. Remote Sens Environ 17(3):301–306

    Google Scholar 

  • Ellison D, Morris CE, Locatelli B, Shei D, Cohen J, Murdiyarso D et al (2017) Trees, forests and water: cool insights for a hot world. Glob Environ Chang 43:51–61

    Google Scholar 

  • Fang YQ (2018) The study of mine geological environment evaluation method in Fujian. Master dissertation, China University of Geosciences (Beijing) (in Chinese)

  • Fischer C, Busch W (2002) Monitoring of environmental changes caused by hard-coal mining. Proc SPIE 4545:64–72

    Google Scholar 

  • Francioni M, Salvini R, Stead D, Giovannini R, Riccucci S, Vanneschi C, Gullì D (2015) An integrated remote sensing-GIS approach for the analysis of an open pit in the Carrara marble district, Italy: slope stability assessment through kinematic and numerical methods. Comput Geotech 67:46–63

    Google Scholar 

  • Galloway TS, Brown RJ, Browne MA, Dissanayake A, Lowe DM, Jones MB, Depledge MH (2004) A multibiomarker approach to environmental assessment. Environ Sci Technol 38(6):1723–1731

    CAS  Google Scholar 

  • Galpern P, Manseau M (2013) Finding the functional grain: comparing methods for scaling resistance surfaces. Landsc Ecol 28(7):1269–1281

    Google Scholar 

  • Guisan A, Zimmermann NE (2000) Predictive habitat distribution models in ecology. Ecol Model 135(2–3):147–186

    Google Scholar 

  • Hinzman LD, Bettez ND, Bolton WR et al (2005) Evidence and implications of recent climate change in northern Alaska and other arctic regions. Clim Chang 72(3):251–298

    Google Scholar 

  • Hu XS, Xu HQ (2018) A new remote sensing index for assessing the spatial heterogeneity in urban ecological quality: a case from Fuzhou City, China. Ecol Indic 89:11–21

    Google Scholar 

  • Hu XS, Xu HQ (2019) A new remote sensing index based on the pressure-state-response framework to assess regional ecological change. Environ Sci Pollut Res 26(6):5381–5393

    CAS  Google Scholar 

  • Jhanwar ML (1996) Application of remote sensing for environmental monitoring in Bijolia mining area of Rajasthan. J Indian Soc Remote Sens 24(4):255–264

    Google Scholar 

  • Jombart T, Devillard S, Balloux F (2010) Discriminant analysis of principal components: a new method for the analysis of genetically structured populations. BMC Genet 11(1):94

    Google Scholar 

  • Jorge C-G, Juan H-H (2015) Environmental analysis of mining operations: dynamic tools for impact assessment. Miner Eng 76:87–96

    Google Scholar 

  • Kodikara GR, Woldai T, van Ruitenbeek FJ, Kuria Z, van der Meer F, Shepherd KD, Van Hummel GJ (2012) Hyperspectral remote sensing of evaporate minerals and associated sediments in Lake Magadi area, Kenya. Int J Appl Earth Obs Geoinf 14(1):22–32

    Google Scholar 

  • Kwarteng P, Chavez A (1989) Extracting spectral contrast in Landsat thematic mapper image data using selective principal component analysis. Photogramm Eng Remote Sens 55(339-348):1

    Google Scholar 

  • Latifovic R, Fytas K, Chen J, Paraszczak J (2005) Assessing land cover change resulting from large surface mining development. Int J Appl Earth Obs Geoinf 7(1):29–48

    Google Scholar 

  • Lee SH, Lee KS, Jin WC, Song HK (2009) Effect of an urban park on air temperature differences in a central business district area. Landsc Ecol Eng 5(2):183–191

    Google Scholar 

  • Legg CA (1990) Applications of remote sensing to environmental aspects of surface mining operations in the United Kingdom. In: Remote sensing: an operational technology for the mining and petroleum industries. Springer, Dordrecht, pp 159–164

    Google Scholar 

  • Li ZL, Tang BH, Wu H, Ren HZ, Yan GJ, Wan ZM, Trigo IF, Sobrino J (2013) Satellite-derived land surface temperature: current status and perspectives. Remote Sens Environ 131:14–37

    Google Scholar 

  • Li ZY, Ma ZW, van der Kuijp TJ, Yuan ZW, Huang L (2014a) A review of soil heavy metal pollution from mines in China: pollution and health risk assessment. Sci Total Environ 468:843–853

    Google Scholar 

  • Li Q, Zhang WZ, Wang D (2014b) Current status, challenges and policy recommendations regarding the sustainable development of mining areas in China. J Resour Ecol 5(1):42–53

    CAS  Google Scholar 

  • Liu XY, Zhou W, Bai ZK (2016) Vegetation coverage change and stability in large open-pit coal mine dumps in China during 1990–2015. Ecol Eng 95(2016):447–451

    Google Scholar 

  • Luck M, Wu JG (2002) A gradient analysis of urban landscape pattern: a case study from the Phoenix metropolitan region, Arizona, USA. Landsc Ecol 17(4):327–339

    Google Scholar 

  • Luque GM, Hochberg ME, Holyoak M, Hossaert M, Gaill F, Courchamp F (2013) Ecological effects of environmental change. Ecol Lett 16(s1):1–3

    Google Scholar 

  • Monjezi M, Shahriar K, Dehghani H, Namin FS (2009) Environmental impact assessment of open pit mining in Iran. Environ Geol 58(1):205–216

    CAS  Google Scholar 

  • Onda K, LoBuglio J, Bartram J (2012) Global access to safe water: accounting for water quality and the resulting impact on MDG progress. Int J Environ Res Public Health 9(3):880–894

    Google Scholar 

  • Pearson K (1901) LIII. On lines and planes of closest fit to systems of points in space. Lond Edinb Dublin Philos Mag J Sci 2(11):559–572

    Google Scholar 

  • Pettorelli N, Vik JO, Mysterud A, Gaillard JM, Tucker CJ, Stenseth NC (2005) Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends Ecol Evol 20(9):503–510

    Google Scholar 

  • Popovic V, Miljkovic JZ, Subic J, Andrei J-V, Adrian N, Eugen N (2015) Sustainable land management in mining areas in Serbia and Romania. Sustainability 7(9):11857

    Google Scholar 

  • Qin ZH, Berliner P, Karnieli A (2002) Micrometeorological modeling to understand the thermal anomaly in the sand dunes across the Israel–Egypt border. J Arid Environ 51(2):281–318

    Google Scholar 

  • Reddy B, Pandey J, Dubey SK (2019) Assessment of environmental gene tags linked with carbohydrate metabolism and chemolithotrophy associated microbial community in River Ganga. Gene 704:31–41

    CAS  Google Scholar 

  • Seyedmohammadi SA, Jafari AA, Seyedmohammadi NS, Sadat S (2012) Determining diversity and genetic distance of 31 genotypes of Agropyrondesertorum for grain yield and its components using multivariate statistical methods. Rom Agric Res 29:95–102

    Google Scholar 

  • Shang DL, Yin GZ, Li XS, Li YJ, Jiang CB, Kang XT, Zhang C (2015) Analysis for green mine (phosphate) performance of China: an evaluation index system. Resour Policy 46:71–84

    Google Scholar 

  • Spaling H (1994) Cumulative effects assessment: concepts and principles. Impact Assess 12(3):231–251

    Google Scholar 

  • Spisz EW, Dooley JT (1980) LANDSAT remote sensing: observations of an Appalachian mountaintop surface coal mining and reclamation operation

  • State Environmental Protection Administration (SEPA) (2006) The environmental protection industry stand ards of the People's Republic of China (trial) HJ/T192–2006. China Environmental Science Press, Beijing (in Chinese)

    Google Scholar 

  • State Environmental Protection Administration (SEPA) (2011) Technical guidelines for environmental impact assessment constructional project of coal development HJ619–2011. China Environmental Science Press, Beijing (in Chinese)

    Google Scholar 

  • Tobler WR (1970) A computer model simulation of urban growth in the Detroit region. Econ Geogr 46(sup1):234–240

    Google Scholar 

  • Ture M, Kurt I, Akturk Z (2007) Comparison of dimension reduction methods using patient satisfaction data. Expert Syst Appl 32(2):422–426

    Google Scholar 

  • Turk M, Pentland A (1991) Eigenfaces for recognition. J Cogn Neurosci 3(1):71–86

    CAS  Google Scholar 

  • Wang YJ, Zhang DC, Lian DJ, Li YF, Wang XF (2009) Environment cumulative effects of coal exploitation and its assessment. Procedia Earth Planet Sci 1(1):1072–1080

    Google Scholar 

  • Wu ZJ, Wang MM, Chen SJ, Zou D (2016) Monitoring and evaluation of ecological environment’s spatio-temporal variation in mine based on RSEI in Yongding mine. Ecol Sci 35(5):200–207 (in Chinese)

    Google Scholar 

  • Xu HQ (2008) A new index for delineating built-up land features in satellite imagery. Int J Remote Sens 29(14):4269–4276

    Google Scholar 

  • Xu HQ (2013) A remote sensing urban ecological index and its application. Acta Ecol Sin 33(24):7853–7862

    Google Scholar 

  • Xu ZY, Song YL, Guo YJ (2014) Research on govern technology measure of opencast mines in “two-line and three-zone” of Henan province. Resour Guide Earth Sci Technol (8):27–29 (in Chinese)

  • Xu HQ, Wang MY, Shi TT, Guan HD, Fang CY, Lin ZL (2018) Prediction of ecological effects of potential population and impervious surface increases using a remote sensing based ecological index (RSEI). Ecol Indic 93:730–740

    Google Scholar 

  • Zha Y, Gao JQ, Ni S (2003) Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. Int J Remote Sens 24(3):583–594

    Google Scholar 

  • Zhang SN, York AM, Boone CG, Shrestha M (2013) Methodological advances in the spatial analysis of land fragmentation. Prof Geogr 65(3):512–526

    Google Scholar 

  • Zhang Y, Yang JY, Wu HL, Shi CQ, Zhang CL, Li DX, Feng MM (2014) Dynamic changes in soil and vegetation during varying ecological-recovery conditions of abandoned mines in Beijing. Ecol Eng 73:676–683

    Google Scholar 

Download references

Funding

This work was supported in part by the National Natural Science Foundation of China (61601418), in part by the Opening Foundation of Hunan Engineering and Research Center of Natural Resource Investigation and Monitoring (2020-5), in part by the Qilian Mountain National Park Research Center (Qinghai) (grant number: GKQ2019-01), and in part by the Geomatics Technology and Application Key Laboratory of Qinghai Province, Grant No. QHDX-2019-01.

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Authors and Affiliations

  1. Institute of Geophysics and Geomatics, China University of Geosciences, No 388, Lumo Road, Wuhan, 430074, China

    Dongyu Zhu, Tao Chen & Ruiqing Niu

  2. Geological Environment Monitoring Institute of Henan Province, Zhengzhou, 450006, China

    Na Zhen

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  1. Dongyu Zhu
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  2. Tao Chen
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  4. Ruiqing Niu
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Correspondence to Tao Chen.

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Zhu, D., Chen, T., Zhen, N. et al. Monitoring the effects of open-pit mining on the eco-environment using a moving window-based remote sensing ecological index. Environ Sci Pollut Res 27, 15716–15728 (2020). https://doi.org/10.1007/s11356-020-08054-2

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