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Assessing Impacts of Mining Activities on Land Use/Land Cover Change Using Remote Sensing and GIS Techniques: A Case Study in Campha City, Vietnam

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Coal is one of the most mining commodities to date, especially to supply both national and international energy needs. Coal mining activities that are not well managed will have an impact on the occurrence of environmental damage. The present study was undertaken to analyze the process of humaninduced landscape transformation in the coal mines affected areas of Cam Pha, northeast Vietnam by interpreting temporal remote sensing data and using Geographic Information System. This experiment revealed that most of the study area was dominated by forest in all the time sequence period. The forest cover has decreased about 21.3%, meanwhile having nine fold increase in mining area from 1990 to 2020. The forest area lost during the study period was 7983.45 ha due to land cover conversion into mining area. The mining activities were also detrimental to the bare land and water body cover. The results of this study are expected to be used to support government efforts and mining managers in post-mining coal activities.
Rocznik
Tom
Strony
467--477
Opis fizyczny
Bibliogr. 34 poz., rys., tab., wykr., zdj.
Twórcy
  • Hanoi University of Mining and Geology, 18 Vien street, Hanoi, Vietnam
Bibliografia
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  • 2. Joshi, P.K., Kumar, M., Midha, N., Vijayanand and A. Paliwal, 2006. Assessing areas deforested by coal mining activities through satellite remote sensing images and gis in parts of Korba, Chattisgarh. Journal of the Indian Society of Remote Sensing, 34(4), Doi: 10.1007/BF02990926.
  • 3. Prosper Laari Basommi, Qingfeng Guan, and Dandan Cheng, 2015. Exploring Land use and Land cover change in the mining areas of Wa East District, Ghana using Satellite Imagery. Open Geosci. 1(2015): 618–626, Doi: 10.1515/geo-2015-0058.
  • 4. Chen, W., Li, X., He, H., Wang, L., 2018. A Review of Fine-Scale Land Use and Land Cover Classification in Open-Pit Mining Areas by Remote Sensing Techniques. Remote Sensing, 1(10): 15-20.
  • 5. Prakash, A., Gupta, R.P., 1998. Land-use mapping and change detection in a coal mining area - A case study in the Jharia coalfield, India. International Journal of Remote Sensing, 3(19): 391-410, DOI: 10.1080/014311698216053.
  • 6. Turner, M.G., Ruscher, C.L., 2004. Change in landscape patterns in Georgia. USA Land. Ecol., 4(2004): 251-421.
  • 7. Singh, P. K., Singh, R., Singh, G., 2010. Impact of coal mining and industrial activities on land use pattern in Angul-Talcher region of Orissa, India. International Journal of Engineering Science and Technology, 2(12), 7771-7784.
  • 8. Bocco, G., Mendoza, M., Velazquez, A., 2001. Remote sensing and GIS-based regional geomorphological mapping- a tool for land use planning in developing countries. Geomorphology, 39(3-4): 211–219.
  • 9. Laskar, A., 2003. Integrating GIS and Multicriteria Decision Making Techniques for Land Resource Planning Master’s thesis. International Institute for GeoInformation Science and Earth Observation, Enschede, Netherlands.
  • 10.Turner, II, B.L., Lambin, E.F., Reenberg, A., 2007. The emergence of land change science for global environmental change and sustainability. Proc. Natl. Acad. Sci. U.S.A. 104(52): 20666–207671. Doi: 10.1073/pnas.0704119104.
  • 11.Yuan, F., Sawaya, K.E, Loeffelhoz, B.C., Bauer, M.E., 2005. Land cover classifcation and change analysis of the twin cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing, Remote Sensing of Environment, 98(2005): 317-328.
  • 12.Charou, E., Stefouli, M., Dimitrakopoulos, D., 2010. Using Remote Sensing to Assess Impact of Mining Activities on Land and Water Resources, Mine Water Environ, 29(1): 45–52.
  • 13.Elsayed, A., El. Gammal, Salem M. Salem, Alaa Eldin A. El Gammal, 2010. Change detection studies on the world’s biggest artificial lake (Lake Nasser, Egypt), The Egyptian Journal of Remote Sensing and Space Science, 13(2): 89-99.
  • 14.Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B., Lambin, E., 2004. Digital change detection methods in ecosystem monitoring: a review, International Journal of Remote Sensing, 25(9): 1565-1596.
  • 15. Lu, D.S., Mausel, P., Brondízio, E.S., Moran, E., 2004. Change detection techniques, International Journal of Remote Sensing, 25(12): 2365-2407.
  • 16.Ha Thu Thi Le, Nhat Dac Doan, Lam Thi Huynh, Thuy Thanh Thi Nguyen, Hiep Ngoc Thi Nguyen, Thuy Thanh Thi Luu, Chinh Cong Thi Vo, 2020. The influences of land cover structure on surface urban heat islands by using remote sensing and GIS, Journal of Mining and Earth Sciences, 61(2): 76-85.
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  • 18.Mi, J., Yang, Y., Zhang, S., An, S., Hou, H., Hua, Y., Chen, F., 2019. Tracking the Land Use/Land Cover Change in an Area with Underground Mining and Reforestation via Continuous Landsat Classification. Remote Sensing, 11(14), 1719.
  • 19.Meshesha, T.W., Tripathi, S.K., Khare, D., 2016. Analyses of land use and land cover change dynamics using GIS and remote sensing during 1984 and 2015 in the Beressa Watershed Northern Central Highland of Ethiopia. Model. Earth Syst. Environ., 2, (168), DOI 10.1007/s40808-016-0233-4.
  • 20.Waldemar, M., 2018. Coal Mining and Coal Preparation in Vietnam. Journal of the Polish Mineral Engineering Society, 275-286, http://doi.org/10.29227/IM-2018-01-40.
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  • 22.Mustafin, M.G., Tran Thanh-Son, Tran Manh-Hung, 2019. Comprehensive impact assessment development of the Coal field Campha in Vietnam to the coastal territory, IOP Conf. Series: Materials Science and Engineering 698, doi:10.1088/1757-899X/698/5/055014.
  • 23.Hua Zhang, Yue Sun, Wenzhong Shi, Dizhou Guo & Nanshan Zheng, 2021. An object-based spatiotemporal fusion model for remote sensing images., European Journal of Remote Sensing, 54(1): 86-101, DOI: 10.1080/22797254.2021.1879683.
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  • 26.Ha Thu Thi Le, Long Van Hoang, Trung Van Nguyen, 2021. Object-oriented classification for landcover of North Thang Long Industrial area using Worldview-2 data, Journal of Mining and Earth Sciences, 62(1): 10 -18.
  • 27.Jing Qian, Qiming Zhoua, Quan Houa, 2007. Comparison of pixel-based and object-oriented classification methods for extracting built-up areas in aridzone, ISPRS Workshop on Updating Geo-spatial Databases with Imagery & The 5th ISPRS Workshop on DMGIS.
  • 28.Sarmadian, F., 2007. Comparisons of Object-Oriented and Pixel-Based Classification of Land Use/Land Cover Types Based on Lansadsat7 ETM + Spectral Bands (Case Study: Arid Region of Iran). American-Eurasian J. Agric. & Environ. Sci., 2(4): 448-456.
  • 29.Anil, Z.C, Chitade, S.K., 2010. Impact analysis of open cast coal mines on land use/ land cover using remote sensing and GIS technique: a case study. International Journal of Engineering Science and Technology, 2(12): 7171-7176.
  • 30.Giriraj, A., Babar, S., Reddy, C.S., 2008. Monitoring of Forest Cover Change in Pranahita Wildlife Sanctuary,Andhra Pradesh, India Using Remote Sensing and GIS. Journal of Environmental Science and Technology, 1: 73-79.
  • 31.Аl-shateri Hoshmand Ahmed Azeez1, Shuchrat Mukhitdinov, 2020. Land use land cover change detection in the mining areas of V. D. Yalevsky coal mine Russia. International Scientific Conference “Problems of Complex Development of Georesources”, 192, https://doi.org/10.1051/e3sconf/202019204021.
  • 32.Anderson, P.R., Vinicius, A.S., Alex, M.S., Ana, C.F.X., Otto, C.R.F., Jorge, A.M., 2020. Impact of mining activities on areas of environmental protection in the southwest of the Amazon: A GISand remote sensing-based assessment. Journal of Environmental Management, 263, 110392.
  • 33.Le Thi Thu Ha, Le Thi Van Anh, Pham Thi Lan, Nguyen Van Trung, 2018. Impact of urbanization on land surface temperature using remote sensing and GIS: A case of Tay Ho district, Hanoi city, Vietnam. Journal of Mining and Earth Sciences, 59(6): 64 -73.
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Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-05eb6dd9-7939-4575-b540-812ff715976a
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