GIS-based spatial assessment of rock minerals mining - a case study of the Lower Silesia Region (SW Poland)
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Wroclaw University of Technology
Jan Blachowski   

Wroclaw University of Technology, Na Grobli 15, 50-421 Wrocław, Polska
Mining Science 2015;22:7–22
Mining of rock minerals, constitutes a strong stimulus for economic development and at the same time, can significantly and negatively affect the state of natural environment, roads and well-being of local communities. This paper presents methodology for studies of spatial impact of rock minerals mining in the Lower Silesia region (SW Poland). In the region majority of magmatic, metamorphic and other rock minerals occur in Poland and their intensive mining is an important sector of regional economy. The concept of mining density (mineral production per unit area) has been introduced and the changes of rock minerals mining in the period of the last 8 years (2006-2013) have been analysed and presented graphically with GIS-based methodology. Mining density increased from 2006 to 2011 and decreased from 2011 to 2013. Change in the spatial pattern of mining density between 2006 and 2013, despite comparable volume of rock minerals production, has been identified. In addition proximity of mines to human settlements, nature protection areas and railways (potential transport routes) has been analysed. Comprehensive and coherent information on rock minerals mining for the area of Lower Silesia provided in this study has been used in developing and implementing regional spatial development policy and attaining the balance between the economic needs, nature protection requirements and the well-being of its citizens.
BATHRELLOS G.D., GAKI-PAPANASTASSIOU K., SKILODIMOU H.D., PAPANASTASSIOU D., CHOUSIANITIS K.G., 2012. Potential suitability for urban planning and industry development using natural hazard maps and geological–geomorphological parameters, Environ Earth Sci., 66, 537–548.
BAGDANAVIČIŪTĖ I., VALIŪNAS J., 2013. GIS-based land suitability analysis integrating multi-criteria evaluation for the allocation of potential pollution sources, Environ Earth Sci., 68, 6, 1797-1812.
BEM W., GLAPA W., SROGA C., 2015. Production of aggregates in Lower Silesian voivodeship in the years 2009–2014, Mining Science, 22, 3-20, (in Polish).
BLACHOWSKI J., 2014. Spatial analysis of the mining and transport of rock minerals (aggregates) in the context of regional development, Environ Earth Sci., 71, 1327–1338.
CRAYNON J.R., SARVER E.A., RIPEPI S., KARMIS M.E., 2015. A GIS-based methodology for identi-fying sustainability conflict areas in mine design – a case study from a surface coal mine in the USA. International Journal of Mining, Reclamation and Environment, 2015.1035872.
EPANECHNIKOV V., A., 1969. Non-parametric estimation of a multivariate probability density, Theory Probability Appl, 14, 153–158.
ESRI, 2014. ArcGIS 10.2.1 Help, Resources.Arcgis.Com/En/Help/M..., Access 2014-10-30.
HUANG S., LI X., WANG Y., 2012. A new model of geo-environmental impact assessment of mining: a multiple-criteria assessment method integrating fuzzy-AHP with fuzzy synthetic ranking, Environ Earth Sci, 66, 275–284.
HYDER Z., 2012. Site characterization, sustainability evaluation and life cycle emissions assessment of underground coal gasification, Doctoral Dissertation. Faculty of Virginia Polytechnic Institute and State University. Scholar.Lib.Vt.Edu/Theses/Avai..., Accessed 18 February 2014.
JORDAN G., 2009. Sustainable mineral resources management: from regional mineral resources explo-ration to spatial contamination risk assessment of mining, Environmental Geology, 58, 153–169.
KARAKAŞ A., 2014. Defining the suitability of new crushed rock aggregate source areas in the north of Kocaeli province using GIS, Bull Eng Geol Environ., 73, 4, 1183-1197.
KOŹMA J., SROGA C., 2005. Mineral resources, state and perspectives for mining, In: Ecophysio-graphical study for the dolnoslaskie voivodeship, Regional Bureau for Spatial Planning in Wroclaw, 33 – 55, (in Polish).
MALCZEWSKI J., 2006. GIS‐based multicriteria decision analysis: a survey of the literature, Interna-tional Journal of Geographical Information Science, 20, 7, 703-726.
NEY R., (Ed.), 2002. Mineral resources of Poland. rock minerals – dimension and crushed stones, Pub-lishing House of the MEERI PAS, Cracow, (in Polish).
NEY R., (Ed.), 2003. Mineral resources of Poland. rock minerals – natural aggregates and industrial sands, Publishing House of the MEERI PAS, Cracow, (in Polish).
Polish Geological Institute, 2015a. Central Geological Database Portal. Dm.Pgi.Gov.Pl/Dm/ Download-manager_V1.Aspx?Lang=Pl, Accessed 2015-03-28.
Polish Geological Institute, 2015b. Midas Database, Geoportal.Pgi.Gov.Pl/Midas-Web, Accessed 2015-03-29.
RADWANEK-BĄK B., 2007. The concept of multi-criteria mineral resources protection, Environmental Geology, 52, 137-145.
SHEPARD D., 1968. A two-dimensional interpolation function for irregularly-spaced data, Proc. 23rd National Conference ACM, 517-524.
SZUFLICKI M., MALON A., TYMIŃSKI M. (Eds.) 2014. Minerals Yearbook of Poland, Polish Geo-logical Institute, Warsaw, (in Polish).
TOMLIN C.D., 2008. Cartographic Modelling, In: Kemp K. K. (Ed.) Encyclopedia of geographic infor-mation science. Sage, California.
VRBA J., MOLDAN B., 1989. Integrated use of natural resources and geoenvironment, Environ. Geol. Water Sci., 14, 3, 159–165.