Spatial and Quantitative Analysis of Waste from Rock Raw Minerals Mining: A Case Study of Lower Silesia Region in Poland

Mining of minerals is associated with waste that needs to be dealt with, e.g., safely deposited or, if possible, reused. From 2010 to 2016, 6,182,277 Mg of waste was deposited during mining of rock raw materials in the Lower Silesia region in Southwest Poland. Extraction activities were responsible for 46.95% of that waste, while mineral processing was responsible for 53.05% of that waste. This study analyzed the spatial and temporal distribution of waste resulting from mining rock raw minerals in Poland’s Lower Silesia region. In the study, an inventory of waste deposited during rock raw mineral mining and processing was prepared. Then, a geographic information systems (GIS) database that included information on the quantity and quality of waste generated during rock raw mineral mining and processing during the 2010–2016 study period was created. It was used for assessment of the variation of waste distribution and density in time and space with GIS kernel density estimation (KDE) functions. Spatial context of mining waste production and distribution over a period of 7 years in Lower Silesia were analyzed and presented graphically. The study revealed increasing accumulation of mining waste and helped to identify spatial clusters of its deposition in the region. Based on a literature study and the identified main waste types, the potential of selected types of this waste for re-use was analyzed and prospective uses were proposed. The methodology of quantitative and spatial analysis used in this research can be applied to studies in other regions coping with the problem of a large amount of mining waste.

[1]  E. Frommel,et al.  General Methodology , 2018, J. A. Hobson.

[2]  V. A. Epanechnikov Non-Parametric Estimation of a Multivariate Probability Density , 1969 .

[3]  Alan C. Brent,et al.  A project-based Mine Closure Model (MCM) for sustainable asset Life Cycle Management , 2006 .

[4]  USING REMOTE SENSING AND GIS TECHNIQUES IN SPATIAL INFORMATION MONITORING OF COAL REFUSE DISPOSAL PILES , 2008 .

[5]  K. de Hoogh,et al.  A GIS-based method for modelling air pollution exposures across Europe. , 2009, The Science of the total environment.

[6]  Tessa K Anderson,et al.  Kernel density estimation and K-means clustering to profile road accident hotspots. , 2009, Accident; analysis and prevention.

[7]  K. Hudson-Edwards,et al.  Mine Wastes: Past, Present, Future , 2011 .

[8]  B. Lottermoser Recycling, Reuse and Rehabilitation of Mine Wastes , 2011 .

[9]  Chunlei Di,et al.  Geostatistical analyses of heavy metal distribution in reclaimed mine land in Xuzhou, China , 2011 .

[10]  A. Donia,et al.  Comparative study on the adsorption of malathion pesticide by different adsorbents from aqueous solution , 2012 .

[11]  N. Gontard,et al.  Investigating Ethofumesate–Clay Interactions for Pesticide Controlled Release , 2012 .

[12]  S. Silva,et al.  Potential Use of Organic- and Hard-Rock Mine Wastes on Aided Phytostabilization of Large-Scale Mine Tailings under Semiarid Mediterranean Climatic Conditions: Short-Term Field Study , 2012 .

[13]  Hideki Shimada,et al.  GIS Database Template for Environmental Management of Mining in Indonesia , 2012 .

[14]  A. Chinnathambi,et al.  Cost-effective bentonite clayed pyramid technologies for household fruits and vegetables storage , 2013 .

[15]  J. Blachowski Spatial analysis of the mining and transport of rock minerals (aggregates) in the context of regional development , 2014, Environmental Earth Sciences.

[16]  Ahmed Abdelaal Preliminary Contamination Risk Assessment of Mining Waste Using Spatial Analysis and Geochemical Characterization of Rock Formations. Case Study in Hungary , 2014 .

[17]  Paul A. Zandbergen,et al.  Kernel density estimation and hotspot mapping: examining the influence of interpolation method, grid cell size, and bandwidth on crime forecasting , 2014 .

[18]  Przemysław Skotniczny,et al.  Mining waste dumps – modern monitoring of thermal and gas activities , 2015 .

[19]  H. Jamieson,et al.  Mineralogical characterization of mine waste , 2015 .

[20]  Onwe Mkpuma,et al.  Environmental Problems of Surface and Underground Mining : a review . 1 Rock , 2015 .

[21]  X. Querol,et al.  Nanoparticulate mineral matter from basalt dust wastes. , 2016, Chemosphere.

[22]  M. L. Oliveira,et al.  Chemical characterization, nano-particle mineralogy and particle size distribution of basalt dust wastes. , 2016, The Science of the total environment.

[23]  Y. Deng,et al.  A Few GIS Clarifications on Tornado Density Mapping , 2016 .

[24]  Yosoon Choi,et al.  An Overview of GIS-Based Modeling and Assessment of Mining-Induced Hazards: Soil, Water, and Forest , 2017, International journal of environmental research and public health.

[25]  G. Corder,et al.  The Role of the Mining Industry in a Circular Economy: A Framework for Resource Management at the Mine Site Level , 2017 .

[26]  Christopher A. Bareither,et al.  Sustainable Reuse of Mine Tailings and Waste Rock as Water-Balance Covers , 2017 .

[27]  J. Blachowski,et al.  Quantitative and Qualitative Research on the Waste from the Mining of Rock Raw Materials in Lower Silesia , 2018, Minerals.

[28]  K. Pactwa,et al.  Overview of Polish Mining Wastes with Circular Economy Model and Its Comparison with Other Wastes , 2018, Sustainability.