Assessment on coal mining land subsidence by using an innovative comprehensive weighted cloud model combination PSR conceptual model

Abstract

The research on land subsidence (LS) is a global topic. In recent years, the environmental problems caused by coal mining have received great attention. In particular, mining land subsidence (MLS) caused damage to villages, buildings, farmland, etc, which seriously threatened the living environment and ecological environment of the mining area. To reasonably evaluate mining land subsidence (MLS) of coal mine, based on characteristics of strata movement in coal mining, this study put forward PSR (Pressure-State-Response) concept model based on MLS to build an evaluation index system of MLS in coal mine. Based on this index system, in view of the uncertainty in the evaluation process, the cloud model is used to represent the index weight and comprehensive evaluation calculations, which fully consider the randomness and ambiguity in the evaluation process. MLS of several important mining areas in China were evaluated and were classified as three grades (Slight-Medium-Strong). The cloud model assessment results are compared with the result of the probability integration method and the actual situation. The assessment results of the cloud model are closer to the actual situation than the probability integration method. It shows that the established MLS evaluation method based on cloud model in this study is reasonable and feasible. The Mining width and height ratio, depth and height ratio and coal seam dip angle are important factors affecting MLS. Therefore, improving the mining method to deal with the goaf reasonably, optimizing the mining design to control the influence range of mining are important measures to reduce the MLS and protect the ecological environment of mining areas.