作者: Shiliang Liu , Wenping Li
DOI: 10.1016/J.SCITOTENV.2019.04.393
关键词: Normalized Difference Vegetation Index 、 Matter element 、 Indicator value 、 Variable weight 、 Environmental science 、 Sensitivity (control systems) 、 Coal mining 、 Environmental engineering 、 Mining industry
摘要: Abstract This research utilized the variable weight theory (VWT) and improved matter-element extension model (MEEM) to conduct an indicators sensitivity analysis of environmental engineering geological patterns (EEGPs) related underground coal mining. First, four types EEGPs, i.e., basically unaffected model, gradually restored after destruction, deteriorated disaster were defined. Subsequently, 13 selected from different spheres. Then, a for EEGPs was conducted by VWT MEEM. On basis changes in indicator values ±10–50%, separately determined EEGPs. In conclusion, rainfall capacity, evaporation capacity normalized difference vegetation index (NDVI) are sensitive while thicknesses seam laterite other three For comparison, tested both traditional MEEM, verifying accuracy results reasonability MEEM method. Finally, mining measures such as layered, stripe, filling grouting reinforce method corresponding proposed. Therefore, specific methods under can be provided decision-makers industry protection departments.