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Coal Mine Flood Risk Assessment in Wuda Coal Mining Area --Using GIS and Remote Sensing Data and Hydrological Model.

机译:乌达矿区煤矿洪水风险评估-利用GIS和遥感数据及水文模型。

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摘要

In China, coal mine accidents were mainly caused by gas and water inrush. Recently, the direct economic loss caused by coal mine flood has been ranked the first among all kinds of coal mine disasters. Reducing water inrush accidents become the main direction and aiming of coal mine security control. From the statistics of coal mine disasters, we learned that the coal mine flood disasters have become the most dangerous mine disaster. There is, therefore, an urgent need to design and provide a coal mine flood risk assessment timely and accurately for mine companies to prevent and deal with the coal mine flood. Traditional approaches investigate the geological condition and find out the exactly numbers and width of fissures caused by coal mining or coal fires burnt. However, the shortcomings of these methods are time consuming, difficult to repeat, and costly to apply over large areas, especially, for many coal mine area located in isolated region, high up in the mountains, in dense forests, and other inhospitable terrains. Hence the use of GIS technology and remote sensing data, particularly satellite remote sensing with a capability of repeated observation of the earth surface, was considered as a very effective approach to detect, analyze and monitor information of mine flood in coal mine area over a large areas.;In this research a risk assessment model was proposed to assess the mine flood risk in Wuda coal mine area using RS, GIS techniques and basic hydrological model. First of all, we analyzed the major factors causing coal mine flood in Wuda coal field, based on the geological and hydrological data. According to the investigated material and the experiences from geologists and coal mining experts, four main criteria including water sources, surface condition, water conductors and water containers as well as fourteen factors were selected to participate the assessment, among which, rainfall, stripping digging pits and fissures were considered as the three main factors to cause mine flood in Wuda coal mine area. The rainfall and sinks information were easily to derive. However, the fissures information was difficult to obtain. Based on the analysis of investigation, the positive correlation between fissures and coal fires or subsidence was obtained. Therefore, the coal fire factor and ground subsidence factor were imported to indicate the fissures information. Then, a method for deriving these impact factors was proposed for coal mine flood risk assessment model. After obtaining the all factors related information, the weights of these factors were calculated by pair-wise comparison method, which depend on the specialists' opinions. A risk assessment analysis approach based on AHP was created for combining these factors and calculating the results.;Finally, based on the result from risk assessment model, a risk assessment indication map was generated using GIS software. By comparing our assessment result with the Wuda coal flood risk map from Shenhua Group, we noticed that the distribution and levels of coal mine flood risk are similar. Some other auxiliary techniques, for instance, the geological drilling and geological radar detection, were used to validate the result of our study. These techniques also proved the final result is reasonable and acceptable. After the investigation and evaluation, some conclusions and suggestions, were proposed for coal mine companies to avoid or reduce the risk from coal mine flood.;The results indicate that the methodology is effective and practical; thus, it has the potential to forecast the flood risk for coal mine flood risk management. Therefore, it can be used as a final risk assessment model for mine flooding in coal fire area. In the future, we will conduct such risk analysis to mitigate the impact from coal mine flood disasters.;Keywords: coal fire, subsidence, fissure, risk assessment, coal mine flood, AHP.
机译:在中国,煤矿事故的主要原因是瓦斯和水的涌入。近年来,煤矿水灾造成的直接经济损失已在各种煤矿灾害中排名第一。减少突水事故成为煤矿安全控制的主要方向和目标。从煤矿灾害的统计数据中,我们了解到,煤矿洪水灾害已经成为最危险的煤矿灾害。因此,迫切需要及时准确地设计并提供煤矿洪水风险评估,以使煤矿公司预防和处理煤矿洪水。传统方法研究地质条件,并找出由煤矿开采或燃煤引起的裂缝的确切数量和宽度。然而,这些方法的缺点是费时,难以重复并且在大面积上应用昂贵,尤其是对于位于偏远地区,高山,茂密森林和其他荒凉地形中的许多煤矿地区。因此,使用GIS技术和遥感数据,特别是具有重复观察地表能力的卫星遥感技术,被认为是检测,分析和监测大面积煤矿区洪水信息的一种非常有效的方法。在这项研究中,提出了一种风险评估模型,利用RS,GIS技术和基本的水文模型来评估乌达煤矿区的矿山洪水风险。首先,根据地质水文资料,分析了乌达煤田煤矿洪灾的主要影响因素。根据调查资料和地质学家,煤炭开采专家的经验,选择了水源,地表条件,水导体和水容器四个主要标准以及十四个因素参与评估,其中降雨,剥采坑裂缝被认为是造成乌达煤矿区水灾的三个主要因素。降雨和汇的信息很容易得出。但是,裂缝信息很难获得。在调查分析的基础上,得出了裂缝与煤火或沉陷之间的正相关关系。因此,引入了煤着火因子和地面沉降因子来表示裂缝信息。然后,针对煤矿洪水风险评估模型,提出了影响因素的推导方法。在获得所有因素相关信息后,根据专家的意见,采用成对比较法计算这些因素的权重。建立了基于层次分析法的风险评估分析方法,将这些因素综合起来,计算结果。最后,基于风险评估模型的结果,利用GIS软件生成了风险评估指示图。通过将评估结果与神华集团的五大煤矿洪灾风险图进行比较,我们发现煤矿洪灾风险的分布和水平是相似的。其他一些辅助技术,例如地质钻探和地质雷达探测,被用来验证我们的研究结果。这些技术也证明了最终结果是合理且可以接受的。通过调查评估,提出了一些结论和建议,为煤矿企业避免或减少煤矿洪水的风险。因此,它有可能为煤矿洪水风险管理预测洪水风险。因此,它可以作为煤火地区矿井洪水的最终风险评估模型。今后,我们将进行此类风险分析,以减轻煤矿洪水灾害的影响。关键词:煤火,沉陷,裂缝,风险评估,煤矿洪水,层次分析法。

著录项

  • 作者

    Wang, Shengxiao.;

  • 作者单位

    The Chinese University of Hong Kong (Hong Kong).;

  • 授予单位 The Chinese University of Hong Kong (Hong Kong).;
  • 学科 Geology.;Physical Geography.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 190 p.
  • 总页数 190
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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