Abstract:Abstract. The analysis of mining-induced sinkholes occurrence is a very important issue as far as the spatial development optimization is concerned. Research conducted for this paper was focussed on examining the applicability of GIS and the associated AHP method (analytic hierarchy process) for estimating the risk of discontinuous deformation occurrence on the surface. Qualitative factors were accounted for in the sinkhole risk assessment, thus creating bases for the research. These elements play an important… Show more
“…These discrepancies originated from a number of non-measurable risk factors which could not be accounted for hazard evaluation. The considerations made on the basis of the existing prediction methods applied in Poland prove the low efficiency of such solutions because of the big number of factors which had not been accounted for in these methods (Malinowska and Dziarek, 2014;Matonóg, 2015), especially when the post-extraction voids were formed in a distant time perspective and when the present condition of the workings had been poorly recognized. Therefore a deeper analysis of additional factors, which could amplify the discontinuous deformations on the ground surface, should be performed.…”
Section: Methodsmentioning
confidence: 99%
“…During the wet seasons heavy rains cause considerable sinkhole hazard in areas prone to water infiltration from the ground surface to shallow mine workings. In this case the sinkhole hazard will be related to rain falls density, slope of terrain, geomechanical properties of layers in the vicinity of underground workings and complexity of tectonic disturbances in the area of interest (Kowalski, 2005;Baryakh and Fedoseev, 2011;Malinowska andDziarek, 2013, Taheri et. al, 2015).…”
“…Moreover dealing with uncertain data or subjective factors is often supported by combination fuzzy theory with analytic hierarchy process techniques (Di et al, 2016;Feizizadeh et al, 2015;Leonardi et al, 2016). The AHP has been also successfully applied for sinkhole susceptibility mapping in Iran and Poland (Malinowska and Dziarek, 2014;Taheri et al, 2015).…”
Section: Characteristics Of Mining-geological Conditionsmentioning
confidence: 99%
“…Many years' observations reveal that the deeper is the deposit, the smaller is the probability of sinkhole occurrence (Chudek, 1998;Malinowska and Dziarek, 2014;Whittaker and Reddish, 1989). Two coal beds deposited at small depth below the terrain surface of 50 to 130 m were analyzed.…”
The problem of sinkhole hazard estimation in the former and present mining areas still remains unsolved. This issue is frequently associated with numerous factors causing that phenomenon. The origin of that factor is not only related to the mining and geological condition of the rock masses in the vicinity of sinkhole. The correct interpretation of grounds for discontinuous deformation occurrence in a given area is particularly important in densely built-up areas. The analyses presented were focused on the identification of risk factors which may have influence on the process of discontinuous deformation occurrence and their spatial analysis. Fuzzy set theory and kernel density estimation support dealing with uncertainty of potential risk factors. The correlation has been established between distribution of this factors and spatial distribution of places where discontinuous deformations occurred. Four the most significant risk factors were taken into account in order to develop probability maps of sinkhole occurrence. Presented approach is based on analytical hierarchy process, which enables integration of that factors. In the investigation both quantitative and qualitative factors were taken into consideration. While modelling discontinuous ground surface deformations, such an approach allows for consideration of complex mining and geological conditions. The effectiveness of the presented solution was verified by comparing probability maps of sinkhole occurrence with the observed sinkholes.
“…These discrepancies originated from a number of non-measurable risk factors which could not be accounted for hazard evaluation. The considerations made on the basis of the existing prediction methods applied in Poland prove the low efficiency of such solutions because of the big number of factors which had not been accounted for in these methods (Malinowska and Dziarek, 2014;Matonóg, 2015), especially when the post-extraction voids were formed in a distant time perspective and when the present condition of the workings had been poorly recognized. Therefore a deeper analysis of additional factors, which could amplify the discontinuous deformations on the ground surface, should be performed.…”
Section: Methodsmentioning
confidence: 99%
“…During the wet seasons heavy rains cause considerable sinkhole hazard in areas prone to water infiltration from the ground surface to shallow mine workings. In this case the sinkhole hazard will be related to rain falls density, slope of terrain, geomechanical properties of layers in the vicinity of underground workings and complexity of tectonic disturbances in the area of interest (Kowalski, 2005;Baryakh and Fedoseev, 2011;Malinowska andDziarek, 2013, Taheri et. al, 2015).…”
“…Moreover dealing with uncertain data or subjective factors is often supported by combination fuzzy theory with analytic hierarchy process techniques (Di et al, 2016;Feizizadeh et al, 2015;Leonardi et al, 2016). The AHP has been also successfully applied for sinkhole susceptibility mapping in Iran and Poland (Malinowska and Dziarek, 2014;Taheri et al, 2015).…”
Section: Characteristics Of Mining-geological Conditionsmentioning
confidence: 99%
“…Many years' observations reveal that the deeper is the deposit, the smaller is the probability of sinkhole occurrence (Chudek, 1998;Malinowska and Dziarek, 2014;Whittaker and Reddish, 1989). Two coal beds deposited at small depth below the terrain surface of 50 to 130 m were analyzed.…”
The problem of sinkhole hazard estimation in the former and present mining areas still remains unsolved. This issue is frequently associated with numerous factors causing that phenomenon. The origin of that factor is not only related to the mining and geological condition of the rock masses in the vicinity of sinkhole. The correct interpretation of grounds for discontinuous deformation occurrence in a given area is particularly important in densely built-up areas. The analyses presented were focused on the identification of risk factors which may have influence on the process of discontinuous deformation occurrence and their spatial analysis. Fuzzy set theory and kernel density estimation support dealing with uncertainty of potential risk factors. The correlation has been established between distribution of this factors and spatial distribution of places where discontinuous deformations occurred. Four the most significant risk factors were taken into account in order to develop probability maps of sinkhole occurrence. Presented approach is based on analytical hierarchy process, which enables integration of that factors. In the investigation both quantitative and qualitative factors were taken into consideration. While modelling discontinuous ground surface deformations, such an approach allows for consideration of complex mining and geological conditions. The effectiveness of the presented solution was verified by comparing probability maps of sinkhole occurrence with the observed sinkholes.
“…This necessitates a strong dependence on expert knowledge when aiming for the prediction of potential sinkhole occurrence sites, e.g. in relation to mining operations, susceptible geology, and land development (Malinowska and Dziarek, 2014;Malinowska and Hejmanowski, 2016). For example, expert knowledge has been applied for sinkhole evaluations in karst evaporate areas (Gutierrez et al, 2008).…”
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