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Mining footprint: a spatial indicator of environmental quality—a case study of a manganese mine in Bhandara district, Maharashtra

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Abstract

In a mining region, during the life period of a mine, large footprints are created. By implementing an effective environmental management plan, mining footprint can be largely reduced. To examine the effectiveness of the control measures, it is essential to use indicators for monitoring of environmental quality of a mine site. Existing indicators have major limitations because they fail to provide a snapshot view of the impacted zone but mostly depend on comparison with the threshold limits of pollution that are stipulated by the government. The paper focuses on development of spatial indicators using an approach based on spatial analysis of environmental quality data in the areas surrounding a mine site. An indicator that provides a condensed view of the impacted zone is a useful planning tool for the mine planners. Since mining footprint can demonstrate the extent of environmental impact zone around a mine site, therefore, a spatial indicator can be designed on the basis size of a mining footprint. Seventeen air, sixteen soil, five surface water and six groundwater samples from a manganese mining region in Bhandara district, Maharashtra, were analysed. Water quality sample results are within permissible limits. By conducting both spatial and statistical data analyses using geographical information system and principal component analysis, air and soil quality maps are prepared. Using the spatial air and soil quality data, footprints of mining are delineated on these maps. Before mine closure, in phased manner, the size of the mining footprint should be significantly reduced. The estimated value of the spatial indicator is twelve, which implies that mining footprint is twelve times the mine work zone.

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Notes

  1. The factor loadings, also called component loadings in PCA, are the correlation coefficients between the variables (rows) and factors (columns).

References

  • Adekiya AO, Agbede TM, Aboyeji CM, Dunsin O, Ugbe JO (2017) Green manures and NPK fertilizer effects on soil properties, growth, yield, mineral and vitamin C omposition of okra (Abelmoschus esculentus (L.) Moench). J Saudi Soc Agric Sci. https://doi.org/10.1016/j.jssas.2017.05.005

  • Alberta Environment and Sustainable Resource Development (2013) Criteria and indicator framework for oil sands mine reclamation certification. Prepared by Mike Poscente and Theo Charette of CharettePeilPoscente environmental Corporation for the Reclamation Working Group of the cumulative environmental management association, Fort McMurray, AB. September 18, 2012

  • Ali S (2009) Mining in China: a primary ecological and human health concern, On line at: https://www.uvm.edu/giee/pubpdfs/Ali, China Environment Forum.pdf (last date accessed: 10th June 2017)

  • BIS (2012) Indian Standard for Drinking Water specifications-IS 10500: 2012 (Second Revision) ICS 13.060.20

  • Cattell RB (1978) The scientific use of factor analysis in behavioural and life sciences. Plenum Press, New York

    Book  Google Scholar 

  • Cetin M (2015a) Determining the bioclimatic comfort in Kastamonu City. Environ Monit Assess 187(10):640. http://link.springer.com/article/10.1007%2Fs10661-015-4861-3. Accessed Nov 2018

    Article  Google Scholar 

  • Cetin M (2015b) Evaluation of the sustainable tourism potential of a protected area for landscape planning: a case study of the ancient city of Pompeipolis in Kastamonu. Int J Sust Dev World 22(6):490–495. http://www.tandfonline.com/doi/abs/10.1080/13504509.2015.1081651?src=recsys&journalCode=tsdw20. Accessed Nov 2018

    Article  Google Scholar 

  • Cetin M (2015c) Using GIS analysis to assess urban green space in terms of accessibility: case study in Kutahya. Int J Sust Dev World 22(5):420–424. https://doi.org/10.1080/13504509.2015.1061066

    Article  Google Scholar 

  • Cetin M (2016a) Determination of bioclimatic comfort areas in landscape planning: a case study of Cide coastline. Turk J Agric For-Food Sci Technol 4(9):800–804

    Google Scholar 

  • Cetin M (2016b) Sustainability of urban coastal area management: a case study on Cide. J Sustain For 35(7):527–541. https://doi.org/10.1080/10549811.2016.1228072

    Article  Google Scholar 

  • Cetin M, Sevik H (2016a) Evaluating the recreation potential of Ilgaz Mountain National Park in Turkey. Environ Monit Assess 188(1):52. http://link.springer.com/article/10.1007%2Fs10661-015-5064-7. Accessed Nov 2018

    Article  Google Scholar 

  • Cetin M, Sevik H (2016b) Assessing potential areas of ecotourism through a case study in Ilgaz Mountain National Park, chapter 5.In: Butowski L (ed). InTech, p 190. http://www.intechopen.com/books/tourism-from-empirical-research-towards-practical-application/assessing-potential-areas-of-ecotourism-through-a-case-study-in-ilgaz-mountain-national-park. Accessed Nov 2018

  • Cetin M, Zeren I, Sevik H, Cakir C, Akpinar H (2018a) A study on the determination of the natural park’s sustainable tourism potential. Environ Monit Assess 190(3):167. https://doi.org/10.1007/s10661-018-6534-5

    Article  Google Scholar 

  • Cetin M, Sevik H, Canturk U, Cakir C (2018b) Evaluation of the recreational potential of Kutahya urban forest. Fresenius Environ Bull 27(5):2629–2634

    Google Scholar 

  • Cetin M, Adiguzel F, Kaya O, Sahap A (2018c) Mapping of bioclimatic comfort for potential planning using GIS in Aydin. Environ Dev Sustain 20(1):361–375. https://doi.org/10.1007/s10668-016-9885-5

    Article  Google Scholar 

  • Davis JC (1973) Statistics and data analysis in geology. Wiley, New York 550 p

    Google Scholar 

  • de Beers (2010) Report to Society On line at: https: www.debeersgroup.com/content. Date Accessed 12thJuly 2017

  • Eco Logical Australia (2012) Assessing the cumulative risk of mining scenarios on bioregional assets in the Namoi catchment: Development and trial of an interactive GIS tool–NCRAT version 1. Final Report Version 1 prepared for Namoi Catchment Management Authority, 23 November 2012 pg.143

  • Ecovision Consulting (2008) Ecological Impact Assessment Stage 2 of the Moolarben Coal Project Murragamba valley. On line at: http://www.moolarbencoal.com.au/documents/major-project-approvals/environmental-assessmemt-report (last date accessed: 12th July 2017)

  • FAO (1976) A framework for land evaluation. FAO Soils Bulletin 32. ISBN 92-5-100111-1

  • Ghose M (2004) Effect of opencast mining on soil fertility. J Sci Ind Res 63:1006–1009

    Google Scholar 

  • Harman HH (1967) Modern factor analysis, 2nd edn. University of Chicago Press, Chicago

    Google Scholar 

  • Hobley EU, Wilson B (2016) The depth of organic carbon in the soils of eastern Australia. Ecosphere 7(1):e01214. https://doi.org/10.1002/ecs2.1214; https://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/nrcs141p2_036369.pdf. Accessed Nov 2018

    Article  Google Scholar 

  • Juwarkar AA et al (2009) Development strategies for sustainable ecosystem on mine spoil dumps: a case study. Environ Monit Assess 157:471–481 Last accessed 3rd May 2018

    Article  Google Scholar 

  • Juwarkar AA et al (2016) Biodiversity promotion in restored mine land through plant-animal interaction. J Ecosys Eco grap 6:176 last accessed 2nd may 2018

    Google Scholar 

  • Kaya E, Agca M, Adiguzel F, Cetin M (2018) Spatial data analysis with R programming for environment. Hum Ecol Risk Assess Int J. https://doi.org/10.1080/10807039.2018.1470896

  • Kline P (1979) Psychometrics and psychology. Academic Press, London

    Google Scholar 

  • Krige DG (1951) A statistical approach to some basic mine valuation problems on the Witwatersrand. J Chem Metall Min Soc S Afr 52(6):119–139

    Google Scholar 

  • Lindquist J (2015) Proper soil sampling depth is critical for pasture soil testing. Michigan State University. Article available ttps://www.canr.msu.edu/news/proper_soil_sampling_depth_is_critical_for_pasture_soil_testing. Website accessed on Nov 2018

  • Mac Callum RC, Widaman KF, Preacher KJ, Hong S (2001) Sample size in factor analysis: the role of model error. Multivar Behav Res 36:611–637. https://doi.org/10.1207/S15327906MBR3604_06

    Article  Google Scholar 

  • Maharjan M (2010) Soil carbon and nutrient status of rangeland in Upper Mustang Tribhuvan. Watershed Management Thesis, Tribhuvan University, Institute of Forestry, Pokhara, NepaL pg.49

  • Milaras M (2012) The judicious use of environmental sustainability indicators in support of mine closure in South Africa. University of Johannesburg Retrieved: https://ujdigispace.uj.ac.za. Accessed on 7/5/2018

  • Ministry of Mines (2011) Sustainable Development Framework (SDF) for Indian Mining Sector, Online at: http://mines.nic.in/ (last date accessed: 12th July 2017)

  • MMDR (2015) The Mines and Minerals (Development and Regulation) Amendment Act, 2015 (10 of 2015) Published by MINISTRY OF COAL, NOTIFICATION New Delhi, the 20th October, 2015

  • MMSD (2002) Sustainability indicators and sustainability performance management, 2002 vol. 43. World Business Council for Sustainable Development

  • Mondal S, Maiti KK, Chakravarty D, Bandyopadhyay J (2016) Detecting risk buffer zone in open-cast mining areas: a case study of Sonepur–Bajari, West Bengal, India. Spat Inform Res 24(6):649–658. https://doi.org/10.1007/s41324-016-0060-8

    Article  Google Scholar 

  • Nas B, Berktay A (2010) Groundwater quality mapping in urban groundwater using GIS. Environ Monit Assess 160:215–227

    Article  Google Scholar 

  • Neb Guide (2005) Guidelines for soil sampling. Available in website http://extensionpublications.unl.edu/assets/pdf/g1740.pdf. Accessed Nov 2018

  • Nicholson A, Robinson N (2008) Scoping Report. http://www.imbsworld.com/source/downloads/Scoping%20Report%20%20IMBS_draft1.pdf. Accessed Nov 2018

  • Oliver MA, Webster R (1990) Kriging: a method of interpolation for GIS. Int J Geogr Inf Syst 4:313–332

    Article  Google Scholar 

  • Pathak H (2010) Trends of fertility status of Indian soils Current Advances in Agricultural Sciences 2(1):10–12 (June 2010) Last accessed 3rd May 2018

  • Pope RL, Wu J (2014) A multi-objective assessment of an air quality monitoring network using environmental, economic, and social indicators and GIS-based models. J Air Waste Manage Assoc 64(6):721–737

    Article  Google Scholar 

  • Raychaudhuri A, Haldar K, Sushil S (2009) An investigation into the Inter-District disparity in West Bengal, 1991-2005. Econ Polit Wkly XLIV(26 & 27):258–263

    Google Scholar 

  • Schilling EK, Jason PA, Arthur EB III, Jacobson P, Schultz CR, Thomas IM (2009) Vertical distribution of total carbon, nitrogen and phosphorus in riparian soils of Walnut Creek, southern Iowa Catena. Elsevier 77(3), 266–273

  • Shahid S et al (2016) Ekológia (Bratislava) Impact of sample size on principal component analysis ordination of an environmental data set: effects. On Eigen Structure 35(2):173–190

    Google Scholar 

  • Sheoran V, Sheoran AS, Poonia P (2010) Soil reclamation of abandoned mine land by revegetation: a review. Int J Soil Sediment Water 3(2):13

    Google Scholar 

  • Sikdar PK, Chakraborty S, Adhya Enakshi Paul PK (2004) Land use/land cover changes and groundwater potential zoning in and around Raniganj coal mining area, Bardhaman District, West Bengal—a GIS and remote sensing approach. J Spat Hydrol 4(2)

  • Singh G (2008) Environment Impact Assessment of Mining Projects Proceedings of International Conference on TREIA-2008 Nov 23–25 Nagpur 2008

  • Tenerelli P, Carver S (2012) Multi-criteria, multi-objective and uncertainty analysis for agro-energy spatial modelling. Appl Geogr 32:724–773

    Article  Google Scholar 

  • United States Department of Agriculture, Natural Resources Conservation Service (2005) Electric fencing for serious graziers. Columbia, Mo. 65203. https://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/nrcs144p2_010636.pdf. Accessed Nov 2018

  • Vadas PA, Mallarino AP McFarland A (2005) The importance of sampling depth when testing soils for their potential to supply phosphorus to surface runoff. Available in website https://sera17dotorg.files.wordpress.com/2015/02/sera-17-soil-sampling-depth-position-paper-2005.pdf. Accessed Nov 2018

  • Velicer WF, Fava JL (1998) The effects of variable and subject sampling on factor pattern recovery. Psychol Methods 3:231–251. https://doi.org/10.1037/1082-989X.3.2.231

    Article  Google Scholar 

  • Weil RR, Brandy NC (2017) The Nature and Properties of Soils. 15th Edition, Pearson. 1104 pg

  • World Bank (2003) The World Bank extractive industry review: the role of structural reform programs towards sustainable development out-comes Volume VI: Research Reports 84286v6. http://www.wwf.org.pe. Accessed Nov 2018

  • Yamamoto JK (2000) An alternative measure of the reliability of ordinary kriging estimates. Math Geol 32(4):489–509

    Article  Google Scholar 

  • Yucedag C, Kaya LG, Cetin M (2018) Identifying and assessing environmental awareness of hotel and restaurant employees’ attitudes in the Amasra District of Bartin. Environ Monit Assess 190(2):60. https://doi.org/10.1007/s10661-017-6456-7

    Article  Google Scholar 

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Acknowledgments

The authors acknowledge the support by MOIL, Government of India, by granting a research work on mining sustainability in the year 2014.

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Authors and Affiliations

  1. Department of Mining Engineering, IIEST, Shibpur, Howrah, India

    Suranjan Sinha

  2. Department of Environment Management, IISWBM, Kolkata, India

    Surajit Chakraborty

  3. Manganese India Ore Limited (MOIL), Nagpur, India

    Dipankar Shome

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  1. Suranjan Sinha
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Correspondence to Suranjan Sinha.

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Sinha, S., Chakraborty, S. & Shome, D. Mining footprint: a spatial indicator of environmental quality—a case study of a manganese mine in Bhandara district, Maharashtra. Arab J Geosci 12, 96 (2019). https://doi.org/10.1007/s12517-019-4260-0

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