China Coal Research Institute, Beijing 100013, China.
China Coal Research Institute, Beijing 100013, China; Beijing Key Laboratory for Precise Mining of Intergrown Energy and Resources, China University of Mining and Technology, Beijing 100083, China; School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
Sci Total Environ. 2021 Jun 10;772:145606. doi: 10.1016/j.scitotenv.2021.145606. Epub 2021 Feb 4.
Spontaneous combustion of coal gangue dumps poses a significant threat to the health and safety of nearby residents and has adverse effects on the environment. The establishment of measures to extinguish these fires requires information on the three-dimensional characteristics and oxidation degree of the dumps. An acquisition method for the index data was proposed. The temperature and the radon concentration were used as the principal indicators, and the gas concentration was a secondary index for verifying the results. Kriging interpolation was applied to predict the value of the unsampled points. Additionally, the three-dimensional characteristics of the temperature and radon anomalies were determined, thresholds were set, and the changes in the temperature and radon migration were considered to estimate the extent and depth of the fire in the coal gangue dumps. The oxidation degree of the anomalous area was identified according to the critical value of the temperature and radon anomalies. The application of this method in the gangue dump of the Tashan coal mine showed the existence of 17 oxidation areas, covering an area of 31,433 m, including 4 shallow oxidation areas, 4 deep oxidation areas in coal waste dumps, and 9 medium-deep oxidation areas. According to the decision criterion, 4 areas with relatively high oxidation degree were identified, whereas the remaining sites were low-oxidation areas. Additionally, surface fires and internal fires can be transformed into each other, posing a significant threat. The results obtained from the various data sources were consistent and in agreement with the ground survey results, indicating that the proposed method is effective for the detection of fires in coal gangue dumps.
煤矸石自燃对周边居民的健康和安全构成重大威胁，对环境也有不良影响。建立扑灭这些火灾的措施需要了解矸石山的三维特征和氧化程度。提出了一种获取指标数据的方法。以温度和氡浓度作为主要指标，气体浓度作为验证结果的次要指标。应用克里金插值法预测未采样点的值。此外，确定了温度和氡异常的三维特征，设定了阈值，并考虑了温度和氡迁移的变化，以估算矸石山火灾的范围和深度。根据温度和氡异常的临界值确定异常区的氧化程度。该方法在塔山煤矿矸石山的应用表明，存在 17 个氧化区，面积为 31433 平方米，其中 4 个浅层氧化区，4 个深矸石堆氧化区，9 个中深氧化区。根据判定标准，确定了 4 个氧化程度较高的区域，其余区域为低氧化区。此外，表面火和内部火可以相互转化，构成重大威胁。来自不同数据源的结果是一致的，与地面调查结果一致，表明该方法对矸石山火灾的检测是有效的。
