浅埋深煤层煤矿地表生态影响预测方法

项目名称： 浅埋深煤层煤矿地表生态影响预测方法

项目编号： No.U1261111

项目类型： 联合基金项目

立项/批准年度： 2013

项目学科： 矿业工程

项目作者： 王军

作者单位： 西安财经学院

项目金额： 55万元

中文摘要： 浅埋深煤层的开采会对地表生态环境带来严重的影响，使本来就脆弱的生态环境更加恶化。研究浅埋深煤层煤矿地表生态影响的预测方法，从而为在不影响地表生态环境的前提下开采浅埋深煤层煤矿提供基础，具有重要的理论价值和实践意义。本项目借鉴生态学、地理学、物理力学和工程地质学等学科的知识，综合运用现场勘查、地理信息系统(GIS)、类比调查、模式预测、灰色马尔柯夫模型、支持向量机和模糊集合论等方法，构建浅埋深煤层煤矿地表生态指标体系，研究浅埋深煤层煤矿地表生态影响的规律，比较不同预测方法之间的差异及适用条件，构建浅埋深煤层煤矿地表生态影响预测模型，建立有效的浅埋深煤层煤矿地表生态影响预警系统。结合典型浅埋深煤层煤矿的现状，开展实践研究并检验研究成果，探索适应浅埋深煤层煤矿的地表生态影响预测方法，为浅埋深煤层煤矿的开发提供理论基础和决策依据。

中文关键词： 浅埋深煤层；生态环境；指标体系；预测；预警系统

英文摘要： The coal mining of shallow buried deep coal seam will greatly impact on surface ecology, and make the vulnerable ecological environment getting worse. The research on forecasting methods of surface ecological impact of shallow buried deep coal seam coal mine will help us understand how to mine shallow buried deep coal seam without affecting surface ecology, which will in turn contribute to both theory and practice. In this study, we will build ecological index system for shallow buried deep coal seam coal mine, investigate the regular patterns of how shallow buried deep coal seam coal mine affect surface ecology, compare different forecasting methods and summary their application conditions, develop forecasting models related to surface ecological impact of shallow buried deep coal seam coal mine, and build effective early warning system of surface ecological impact of shallow buried deep coal seam coal mine. The research methods include field investigation, geographical information system, analogy survey, pattern prediction, gray-Markov model, support vector machine and fuzzy set theory etc., which are adopted from ecology, geography, physical mechanics and engineering geology etc. Furthermore, we will conduct application study based on the practices in shallow buried deep coal seam coal mines to explore the fo

英文关键词： Shallow buried depth coal seam；Ecological environment；Indicator system；Prediction；Early warning system