Prediction of Ground Subsidence Using Gis and the Weight-of-evidence Model

The presence of ground subsidence near abandoned coal mine areas can be hazardous to people and property because of its tendency to happen without warning. The prognostication has recently become a serious social problem in Korea, since almost all underground coal mines have been abandoned, and few remain since 1989. However, the effort of scientifically assessment of susceptible ground subsidence areas is very few, especially in coal mining areas where the structures of the geology and mining area complex. Thus, this study aims to quantitative assess and predict ground subsidence for hazard mapping around an abandoned underground coal mines (AUCMs) area by applying the weights-of-evidence method with validation of results. As a basic analysis tool, a Geographic Information System (GIS) was used for spatial and data management and manipulation.