Indicators sensitivity analysis for environmental engineering geological patterns caused by underground coal mining with integrating variable weight theory and improved matter-element extension model

作者: Shiliang Liu , Wenping Li

DOI: 10.1016/J.SCITOTENV.2019.04.393

关键词: Normalized Difference Vegetation IndexMatter elementIndicator valueVariable weightEnvironmental scienceSensitivity (control systems)Coal miningEnvironmental engineeringMining 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.

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