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An integrated GIS-based approach for geohazards risk assessment in coal mines

机译：一种基于GIS的集成方法，用于煤矿地质灾害风险评估

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From the viewpoint of safety in underground coal mining, the most suitable mining panel is the one with minimum geological structures, the right machinery, and equipment selection, trained employee, and proficient stope management. Since the ground parameters are uncontrollable and inherent uncertainties exist, a high percent of risk will usually accompany the underground coal mining activities. The main purpose of this study is to present a geological-geotechnical risk assessment model for identification of high risk-prone areas in underground coal mines using an integrated GIS-geostatistics system. Tabas as the first mechanized and largest underground coal mine in Iran was selected as a case study in this study. Gas content of coal seam, Coal Mine Roof Rating (CMRR), initial in situ stress state, fault throw, and orientation were selected as hazard/risk factors. For estimating the amount of coal seam gas content, CMRR and initial in situ stress in unsampled areas and providing the prediction maps, geostatistics module in ArcGIS was used. Rock engineering system-interaction matrix method was used for attribute weight assignment. Next, the attribute layers were weighted, rated, and overlaid to create a final map of geohazards risk. The analysis results of final risk map indicate that about 45% of under study area is prone to high to very high geohazards risk. Comparison of the results with experiences obtained during the early part of the mine and mined-out panels showed generally good agreement with promising ideas. This highlights the potential application of the GIS-based approach for hazards detection and geohazards risk assessment in underground coal mines.
机译：从地下煤矿的安全性的角度来看，最合适的采矿小组是地质结构最少，机械和设备选择正确，训练有素的员工以及熟练的采场管理的小组。由于地面参数不可控且存在固有的不确定性，因此地下煤矿开采活动通常伴随着很高的风险。这项研究的主要目的是提供一个地质-岩土工程风险评估模型，用于使用集成的GIS-地统计系统识别地下煤矿中高风险易发区。 Tabas是伊朗第一家最大的机械化地下煤矿，被选为案例研究。选择煤层瓦斯含量，煤矿顶板等级（CMRR），初始地应力状态，断层投掷和方向作为危险/风险因素。为了估算未采样区域的煤层瓦斯含量，CMRR和初始地应力，并提供预测图，使用了ArcGIS中的地统计模块。岩石工程系统-相互作用矩阵法用于属性权重分配。接下来，对属性图层进行加权，评级和覆盖，以创建最终的地质灾害风险图。最终风险图的分析结果表明，约45％的受研究区域极有可能发生高到非常高的地质灾害风险。将结果与在矿山早期和采空区小组中获得的经验进行比较表明，总体上与有希望的想法吻合良好。这突显了基于GIS的方法在地下煤矿的危害检测和地质灾害风险评估中的潜在应用。

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