中国安全科学学报 ›› 2021, Vol. 31 ›› Issue (1): 38-44.doi: 10.16265/j.cnki.issn 1003-3033.2021.01.006

• 安全工程技术 • 上一篇    下一篇

基于同位素测氡的煤矿火区圈划方法对比研究

张俊英1,2,3 研究员, 方熙杨1,2,3, 王海宾4, 王海燕**1,3 副研究员, 姚海飞2,3,5 副研究员, 李琨6   

  1. 1 煤炭科学研究总院, 北京 100013;
    2 煤炭科学技术研究院有限公司 安全分院, 北京 100013;
    3 煤炭科学研究总院 煤炭资源高效开采与洁净利用国家重点实验室,北京 100013;
    4 淄博矿业集团有限责任公司, 山东 淄博 255000;
    5 中国矿业大学(北京) 应急管理与安全工程学院, 北京 100083;
    6 山西晋神沙坪煤业有限公司, 山西 忻州 034000
  • 收稿日期:2020-10-09 修回日期:2020-12-18 出版日期:2021-01-28 发布日期:2021-07-28
  • 通讯作者: **王海燕(1987—),男,河北沧州人,博士,副研究员,主要从事矿井火灾和粉尘防治研究。E-mail: whycumtb@163.com。
  • 作者简介:张俊英 (1965—),男,河北武安人,博士,研究员,主要从事开采沉陷控制与环境治理技术、采空区隐患防治、建筑物保护技术、矿井防治水等方面的研究。E-mail: 13811109986@139.com。
  • 基金资助:
    国家自然科学基金青年基金资助(51804161);国家重点研发计划课题(2018YFC0807902)。

Comparative study of coal mine fire areas zoning methods based on isotopic radon measurement technique

ZHANG Junying1,2,3, FANG Xiyang1,2,3, WANG Haibin4, WANG Haiyan1,3, YAO Haifei2,3,5, LI Kun6   

  1. 1 China Coal Research Institute, Beijing 100013, China;
    2 Safety Branch of China Coal Research Institute, Beijing 100013, China;
    3 State Key Laboratory of Coal Mining and Clean Utilization, China Coal Research Institute, Beijing 100013, China;
    4 Zibo Mining Group Co. Ltd, Zibo Shandong 255000, China;
    5 Faculty of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China;
    6 Shanxi Jinshen Shaping Coal Industry Co. Ltd, Xinzhou Shanxi 034000, China
  • Received:2020-10-09 Revised:2020-12-18 Online:2021-01-28 Published:2021-07-28

摘要: 为确定基于同位素测氡的地下火区异常区域圈划的最优计算方法,首先,在分析3种常用区域数据处理方法(传统统计法、趋势面分析法及分形法)的原理基础上,应用这3种方法处理实际矿井地面的测氡数据;然后,利用3种方法圈划火区的结果,从强化弱异常的能力和异常下限的确定 2方面对比分析3种方法的差异性;最后,通过选取代表性的钻孔,验证3种方法确定的异常区域。结果表明:传统统计法和分形法的氡异常下限分别为5 982和7 094 Bq/m3,趋势面分析法是通过正剩余分量确定异常区域的,没有具体的异常下限值;3种方法圈划的异常区域面积大小与强化弱异常能力的高低一致:趋势面分析法>分形法>传统统计法;通过对比钻孔验证的结果,确定以分形法所圈划的结果作为后期火区治理的依据。

关键词: 同位素测氡, 异常区域, 火区圈划, 地下火源探测, 分形法

Abstract: In order to determine optimal calculation method for identification of abnormal temperature areas, firstly, three commonly used regional data processing methods (traditional statistical method, trend surface analysis method and fractal method) were applied to process radon measurement data of actual mine surface. Then, differences of three methods were compared and analyzed from ability of strengthening weak anomalies and determination of outlier threshold. Finally, representative boreholes were selected to verify anomaly areas determined by the three methods. The results show that the lower limits of radon anomaly of traditional statistical method and fractal method are 5 982 Bq/m3 and 7 094 Bq/m3 respectively, and trend surface analysis method is used to determine anomaly area by positive residual component. In delineating abnormal areas according to its consistency with ability of strengthening weak anomalies, the three methods rank as trend surface analysis method > fractal method > traditional statistical method. By comparing results of drilling verification, it is determined that results delineated by fractal method can be used as basis for later fire-fighting activities.

Key words: isotopic radon measurement, abnormal areas, fire areas zoning, underground fire source detection, fractal method

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