Scholarly record
GIS-BASED SUSCEPTIBILITY MAPPING OF POST-MINING DISCONTINUOUS DEFORMATIONS: COMPARISON OF AHP AND GREY SYSTEM THEORY APPROACHES
Abstract
Post-mining discontinuous deformations, including sinkholes and localized landslides, constitute a significant geotechnical and environmental hazard in mining areas. Accurate identification of zones susceptible to such phenomena is essential for risk assessment and spatial planning. This study presents a GIS-based approach integrating Multi-Criteria Decision-Making (MCDM) methods for susceptibility mapping of discontinuous deformations in the mining area of the hard coal mine, located in the Upper Silesian Coal Basin, Poland. Seven conditioning factors related to geological, mining, and topographic conditions were selected and standardized. Two weighting approaches were applied and compared: the expert-based Analytic Hierarchy Process (AHP) and Grey System Theory (GST) combined with entropy weighting. The susceptibility maps generated using both methods were analyzed and validated based on the spatial distribution of identified sinkholes. Validation results based on the spatial distribution of 106 identified sinkholes indicated that the AHP-based model achieved greater agreement with the observed discontinuous deformations than the GST + entropy approach. Although the latter method provided a more selective spatial classification, its effectiveness was limited by the relatively low variability of the input data and the restricted number of conditioning factors, which reduced the performance of entropy-based weighting.
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