The article presents subject matter related to the assessment of the suitability of the built-up area, including the occurrence of sinkholes on the surface. The investment plot, which is the subject of the analysis, is located in the central part of the Upper Silesian Coal Basin, where shallow exploitation of coal seams was conducted in the past. At present it is a post-mining area, located at a large distance from active mines. It has an attractive administrative location and good transport connection with the main road connecting the cities of the Silesian agglomeration. These advantages make it particularly attractive in terms of use for various types of investments. The geological and mining factors are not favorable in the area in question, mainly due to the shallow mining exploitation conducted in the past and the access excavations on small depth and an unknown method of liquidation. These reasons are the cause of some restrictions in the use of construction, for which taking the appropriate solutions is recommended. According to the study of (Rules... 2009), the category of mining land should be defined for the areas of liquidated mining plants due to the limitation in construction use. The authors of the article made an attempt to determine it, and they analyzed the geological and mining conditions for this purpose, mainly including mining exploitation conducted in the past. On the basis of the obtained results and own experience, the type of expected hazards and its assessment were determined The probability of the occurrence of the inclusions according to the Chudek-Olaszowski method (Chudek et al. 1988) was assumed as a measure of the hazard.
The post-mining areas due to the difficulties of those, often associated with expensive activities, usually take the form of wasteland. In contrast, unavailable, unused and alien areas the mentality of residents, are identified with empty space. The purpose of the authors was to answer the question: Are post-mining areas becoming empty spaces? Her research basis was changes in the functioning of post-mining areas and empty spaces in Katowice – a city with a long-standing mining tradition. Using GIS tools, a spatial analysis was carried out to determine the empty spaces functions and the perceiving of the post-mining areas by residents or users of a given district nearby.
Post-industrial areas are an area of concentration, penetration and shaping the economic, social and environmental zone. The strategic goal of transforming post-industrial areas should be to obtain a new, dynamic and favorable state of equilibrium for a given area, as well as its surroundings after cessation of operations. The purpose of the article is to indicate the possibility of adaptation of post-industrial areas, especially after exploitation of the mineral, to perform new functions. The direction and the purpose of the recultivation and planning actions to a large extent may be influenced by specific social and economic conditions affecting the competitiveness of each and individually treated fragment of space.
The article attempts to transfer information from the Point Nuisance Method (PNM) used in Poland in the issue of protection of buildings in mining areas, to the system of inference based on Bayesian formalism. For this purpose, all possible combinations occurring in PNM were selected. The number of numerically generated patterns was 6,718,464 cases. Then, based on Python package Scikit-Learn, a classification model was created in the form of the Naïve Bayes Classifier (NBC). The effectiveness of three methods used to build this type of decision-support system was analysed, from which the Categorical Multinomial Naive Bayes (CMNB) approach was finally selected. With the created classifier, its properties were verified in terms of quality of classify and generalization. For this purpose a general approach was used, analysing the level of accuracy of the model in relation to training and teaching data, and detailed, based on the analysis of the confusion matrix. Additionally, the operation of the created classifier was simulated to determine the optimal Laplace smoothing parameter α. The article ends with conclusions from the carried out calculations, in which an attempt was made to answer the question concerning potential reasons for incorrect classification of the created CMNB model. The discussion ends with a reference to the planned research, in which, among other things, the use of more complex Bayesian belief networks (BBN) is planned.
In this article, the issue of mining impact on road pavements and subgrade is presented, taking into account the interaction between geosynthetic reinforcement and unbound aggregate layers. Underground mining extraction causes continuous and discontinuous deformations of the pavement subgrade. Structural deformations in the form of ruts are associated with the compaction of granular layers under cyclic loading induced by heavy vehicles. Horizontal tensile strains cause the loosening of the subgrade and base layers. The granular layers under cyclic loading are additionally compacted and the depth of ruts increases. Moreover, tensile strains can cause discontinuous deformations that affect the pavement in the form of cracks and crevices. Discontinuous deformations also affect the pavement in the fault zones during the impact of mining extraction. The use of geosynthetic reinforcement enables the mitigation of the adverse effects of horizontal tensile strains. Horizontal compressive strains can cause surface wrinkling and bumps. Subsidence causes significant changes in the longitudinal and transverse inclination of road surface. Both examples of the laboratory test results of the impact of subgrade horizontal strains on reinforced aggregate layers and the selected example of the impact of mining deformation on road subgrade are presented in this article. The examples show the beneficial impact of the use of geosynthetic reinforcement to stabilize unbound aggregate layers in mining areas.