Integrated GIS-based Prediction and Impact Assessment System due to Mining Subsidence
The development of economy demands more and more underground resources. In China, there is about one billion tons of coal output annually. As a result, subsidence due to underground mining is becoming one of the most important factors affecting the environment. In this paper, an integrated system has been developed within a Geographic Information System (GIS) platform, which include subsidence prediction model as well as environmental impact assessment model. The Probability Integral Method (PIM), which is a stochastic model widely used, is applied to predict mining subsidence with the results of vertical displacement, tilt, horizontal displacement and strain. For the environmental impact assessment, the fuzzy logic model has been utilized to identify the classification of the mining-induced damage with the input of subsidence and land use. Component Object Model (COM) technology is used to implement the proposed models in GIS platform with good results in the practice applications.
Underground mining Environmertal impact assessment Mining subsidence GIS Fuzzy logic model
ZHAO Xiaodong YAN Xiaobao JIANG Yujing
China-Japan Research Center for Geo-Environmental Science, Dalian University, Dalian 116622, China Department of Civil Engineering, Nagasaki University, Nagasaki 852-8521, Japan
国际会议
2010 International Conference on Mine Hazards Prevention and Control(第二届矿山灾害预防与控制国际学术会议 ICMHPC)
青岛
英文
489-502
2010-10-15（万方平台首次上网日期，不代表论文的发表时间）