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Land degradation analysis of mine-impacted zone of Kolubara in Serbia

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Abstract

This paper presents the effect of land-use changes on land degradation by utilization of remote sensing methods and the Gavrilović erosion potential method, due to surface mining activities in the period 2001–2011. Studied area includes the zone of influence of the Rudarski basen Kolubara, which covers the exploitation area of the Kolubara coal basin in the Republic of Serbia. The analysis is based on the processing of Landsat 5 satellite images from 2001 and 2011. In the analysis of satellite images, the supervised classification method was used. The results suggest that the observed spatial–temporal area is exposed to erosion as a result of land-use changes. Preliminary conclusion is that the dominant anthropogenic factor, responsible for changes in land use, is pronounced through the mining activity, industrialization, construction as well as agricultural activities. Very small changes in land use that occurred in the period 2001–2010 have led to relatively small amount of change from the aspect of land degradation. Also, due to the planned exploitation of the mine which included into account the sustainability of ecosystems, primarily through appropriate conservation measures, RB Kolubara is not in danger of a possible erosion processes that could undermine the stability of the basin.

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Source/vir: RB Kolubara

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Source/vir: http://landsatlook.usgs.gov

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References

  • Blondeau-Patissier D, Gower J, Dekker A, Phinn S, Brando V (2014) A review of ocean color remote sensing methods and statistical techniques for the detection, mapping and analysis of phytoplankton blooms in coastal and open oceans. Prog Oceanogr 123:123–144

    Article  Google Scholar 

  • Charou E, Stefouli M, Dimitrakopoulos D, Vasiliou E, Mavrantza OD (2010) Using remote sensing to assess impact of mining activities on land and water resources. Mine Water Environ. doi:10.1007/s10230-010-0098-0

    Google Scholar 

  • Dotterweich M (2013) The history of human-induced soil erosion: geomorphic legacies, early descriptions and research, and the development of soil conservation—a global synopsis. Geomorphology 201:1–34

    Article  Google Scholar 

  • Fraser HR, Olthof I, Kokelj VS, Lantz CT, Lacelle D, Brooker A, Wolfe S, Schwarz S (2014) Detecting landscape changes in high latitude environments using landsat trend analysis: 1. Visualization. Remote Sens. doi:10.3390/rs61111533

    Google Scholar 

  • García-Ruiz JM, Nadal-Romero E, Lana-Renault N, Beguería S (2013) Erosion in Mediterranean landscapes: changes and future challenges. Geomorphology 198:20–36

    Article  Google Scholar 

  • Gavrilović S (1970) Savremeni načini proračunavanja bujičnih nanosa i izrada karata erozije. In: Erozija, bujični tokovi i rečni nanos (Erosion, Torrents and Alluvial Deposits). Jugoslovenski komitet za medjunarodnu hidrološku deceniju, Beograd, pp 85–100 (in Serbian)

    Google Scholar 

  • Gavrilović S (1972) Inženjering o bujičnim tokovima i eroziji (Engineering of Torrents and Erosion). Izgradnja, Beograd, p 292 (in Serbian)

    Google Scholar 

  • Gavrilović S (1988) The use of empirical method (erosion potential method) for calculating sediment production and transportation in unstudied or torrential streams. In: White WR (ed) International conference on river regime, Wiley, Chichester, pp 411–422

    Google Scholar 

  • Globevnik L, Holjević D, Petkovšek G, Rubinić J (2003) Applicability of the Gavrilović method in erosion calculation using spatial data manipulation techniques. Erosion prediction in ungauged basins: integrating methods and techniques. IAHS Publication 279. Wallingford, Oxfordshire http://hydrologie.org/redbooks/a279/iahs_279_0224.pdf

  • Gubanov LN, Zvereva VI, Boyarkin DV (2013) The regional conception in the sphere of industrial and domestic waste handling. J Geogr Inst “Jovan Cvijić” SASA 63(4):47–55. doi:10.2298/IJGI1304047G

    Article  Google Scholar 

  • Gutiérrez F, Parise M, De Waele J, Jourde H (2014) A review on natural and human-induced geohazards and impacts in karst. Earth Sci Rev 138:61–88

    Article  Google Scholar 

  • Haghizadeh A, Shui LT, Godarzi E (2009) Forecasting sediment with erosion potential method with emphasis on land use changes at basin. Electr J Geotech Eng 14(1):1–12

    Google Scholar 

  • Hrvatin M, Zorn M, Perko P (2014) Gavrilovićeva erozijska enačba in GIS. Digitalni prostor, GIS v Sloveniji 12. Ljubljana. http://giam.zrc-sazu.si/sites/default/files/9789612540821.pdf (in Slovenian)

  • Hu Y, Tian G, Mayer AL et al (2015) Risk assessment of soil erosion by application of remote sensing and GIS in Yanshan Reservoir catchment, China. Nat Hazards 79:277–289

    Article  Google Scholar 

  • Huang JX, Mao F, Xu WB, Zou JQ (2007) Quantitative assessment of regional soil erosion in Chengdu plain of Sichuan Province. In: IEEE international geoscience and remote sensing symposium, Barcelona. doi: 10.1109/IGARSS.2007.4423508

  • Jamir T (2015) Changes in land cover/land use over the northeast region of India. J Geogr Inst “Jovan Cvijić” SASA 65(3):309–322. doi:10.2298/IJGI1503309J

    Article  Google Scholar 

  • Jovanović MM, Milanović MM (2015) Normalized Difference Vegetation Index (NDVI) as the basis for local forest management. Example of the municipality of Topola, Serbia. Polish J Environ Stud 24–2:529–535

    Google Scholar 

  • Lukić T, Leščešen I, Sakulski D, Basarin B, Jordaan A (2016) Rainfall erosivity as an indicator of sliding occurrence along the southern slopes of the Bačka loess plateau: a case study of the Kula settlement, Vojvodina (North Serbia). Carpathian J Earth Environ Sci 11–2:303–318

    Google Scholar 

  • Mather PM (1999) Computer processing of remotely-sensed images: an introduction. Wiley, Chichester, xiv + 292pp. ISBN 0-471-98550-3

    Google Scholar 

  • Milanović M, Lješević M (2009) Teledetekcione metode istraživanja životne sredine. Univerzitet u Beogradu, Geografski fakultet, Beograd (in Serbian)

    Google Scholar 

  • Milanović MM, Perović VS, Tomić MD, Lukić T, Nenadović SS, Radovanović MM, Ninković MM, Samardžić I, Miljković Đ (2016) Analysis of the state of vegetation in the municipality of Jagodina (Serbia) through remote sensing and suggestions for protection. Geogr Pannonica 20–2:70–78

    Article  Google Scholar 

  • Morgan RPC, Duzant JH (2008) Modified MMF (Morgan–Morgan–Finney) model for evaluating effects of crops and vegetation cover on soil erosion. Earth Surf Process Landf. doi:10.1002/esp.1530

    Google Scholar 

  • Mukherjee S (2004) Text book of environmental remote sensing. Published by Macmillan India Limited New Delhi ISBN: 1403922357. INBK103842 http://www.macmillanindia.com

  • Pandey A, Chowdary VM, Mal BC (2007) Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing. Water Resour Manag. doi:10.1007/s11269-006-9061-z

    Google Scholar 

  • Petropoulos G, Kalivas D, Griffiths H, Dimou P (2015) Remote sensing and GIS analysis for mapping spatio-temporal changes of erosion and deposition of two Mediterranean river deltas: the case of the Axios and Aliakmonas rivers, Greece. Int J Appl Earth Observ Geoinf 35:217–228

    Article  Google Scholar 

  • Ristić R, Malošević D (2011) Hidrologija bujičnih tokova. Šumarski fakultet, Beograd

    Google Scholar 

  • Sharma A, Tiwari KN, Bhadoria PBS (2011) Effect of land use land cover change on soil erosion potential in an agricultural watershed. Environ Monit Assess. doi:10.1007/s10661-010-1423-6

    Google Scholar 

  • Singh R, Kumar A, Chakarvarti SK (2015) GIS approach for groundwater quality study in Mewat District, Haryana, India. Int J Sci Eng Res 6(9). ISSN 2229-5518

  • Sobrino JA, Raissouni N (2000) Toward remote sensing methods for land cover dynamic monitoring: application to Morocco. Int J Remote Sens 21:353–366

    Article  Google Scholar 

  • Štrbac O, Milanović MM, Ogrizović VR (2017) Estimation the evapotranspiration of Urban Parks with field based and remotely sensed datasets. Carpathian J Earth Environ Sci 12–2:605–616

    Google Scholar 

  • The National Environmental Protection (2010) The national environmental protection program. http://www.kombeg.org.rs/Slike/CeTranIRazvojTehnologija/2010Mart/Nacionalni%20program.pdf. Accessed 22 July 2016

  • Tomić M (2014) The use of methods of remote sensing and GIS applications in monitoring water quality of the mining basin “Kolubara”, Lazarevac. Geonauka. doi:10.14438/gn.2013.25

    Google Scholar 

  • Tomic M, Pavlovic N, Milanovic M (2013) Applying the methods of remote sensing and GIS applications in the control and management of industrial waste on the example of the mining basin “Kolubara” Lazarevac, Извecтия Уфимcкoгo нayчнoгo цeнтpa POCCИЙCКOЙ AКAДEMИИ HAУК. N3, C 22–25, УКД 502.36

  • Tricart J, KiewietdeJonge C (1992) Ecogeography and rural management: a contribution to the international geosphere-biosphere programme. Longman Group, Harlow, p 267

    Google Scholar 

  • Tripathi N, Singh RS, Hill CD (2016a) Best practice reclamation of mine spoil. In: Reclamation of mine impacted land for ecosystem recovery, Wiley, pp 149–180. doi:10.1002/9781119057925.refs

  • Tripathi N, Singh RS, Hill CD (2016b) Soil carbon development in rejuvenated Indian coal mine spoil. Ecol Eng 90:482–490. doi:10.1016/j.ecoleng.2016.01.019

    Article  Google Scholar 

  • Vasiliev AL, Vasiliev LA, Bokova IV, Kroshilov AL (2014) Mathematical description of matter exchange between water components and adsorbing surface of filter medium of water purification units. J Geogr Inst “Jovan Cvijić” SASA 64(2):129–141. doi:10.2298/IJGI1402129V

    Article  Google Scholar 

  • Weng Q (2012) Remote sensing of impervious surfaces in the urban areas: requirements, methods, and trends. Remote Sens Environ 117:34–49

    Article  Google Scholar 

  • Wijitkosum S (2012) Impacts of land use changes on soil erosion in Pa Deng Sub-district, adjacent area of Kaeng Krachan National Park, Thailand. Soil Water Res 7(1):10–17

    Article  Google Scholar 

  • Wischmeier WH, Smith DD (1978) Predicting rainfall erosion loss: a guide to conservation planning. Agricultural Handbook No. 537, Washington

    Google Scholar 

  • Yuqing W, Jingshui K, Shunxing S, Riping Z (2008) The application of remote sensing and GIS in the stability evaluation of goaves. In: The international archives of the photogrammetry, remote sensing and spatial information sciences, vol 37. Part B8, Beijing. http://www.isprs.org/proceedings/XXXVII/congress/8_pdf/1_WG-VIII-1/11.pdf. Accessed 16 July 2016

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Authors and Affiliations

  1. Faculty of Geography, University of Belgrade, Studentski Trg 3/3, Belgrade, 11000, Serbia

    Miško Milanović & Ana Radovanović

  2. Service for the Protection and Improvement of the Environment, Branch RB Kolubara, Faculty of Forestry, University of Belgrade, Lazarevac, 11550, Serbia

    Milisav Tomić

  3. Department of Ecology, Institute for Biological Research, University of Belgrade “Siniša Stanković”, Belgrade, 11000, Serbia

    Veljko Perović

  4. Geographical Institute “Jovan Cvijić”, Serbian Academy of Sciences and Arts – SASA, Djure Jakšića 9, Belgrade, 11000, Serbia

    Milan Radovanović & Marko Petrović

  5. Perm National Research Polytechnic University, 29 Komsomolsky prospekt Perm - GSP, Perm Krai, Russia, 614990

    Milan Radovanović

  6. School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, 110067, India

    Saumitra Mukherjee

  7. Department for Viticulture and Wine Production, Ministry of Agriculture and Environmental Protection, Nemanjina 22-26, Belgrade, 11000, Serbia

    Darko Jakšić

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  1. Miško Milanović
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Correspondence to Saumitra Mukherjee.

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Milanović, M., Tomić, M., Perović, V. et al. Land degradation analysis of mine-impacted zone of Kolubara in Serbia. Environ Earth Sci 76, 580 (2017). https://doi.org/10.1007/s12665-017-6896-y

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