ZHANG Xiaoliang. Application of entropy weight method and analytic hierarchy process in evaluation of water inrush from coal seam floor[J]. COAL GEOLOGY & EXPLORATION, 2017, 45(3): 91-95. DOI: 10.3969/j.issn.1001-1986.2017.03.017
Citation: ZHANG Xiaoliang. Application of entropy weight method and analytic hierarchy process in evaluation of water inrush from coal seam floor[J]. COAL GEOLOGY & EXPLORATION, 2017, 45(3): 91-95. DOI: 10.3969/j.issn.1001-1986.2017.03.017

Application of entropy weight method and analytic hierarchy process in evaluation of water inrush from coal seam floor

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  • Received Date: May 14, 2016
  • Published Date: June 24, 2017
  • In order to overcome the shortcomings of AHP subjective right, at the same time to avoid the error of entropy objective affirmation inconsistent with the actual importance degree of the major controlling factors, the risk assessment of water inrush from Ordovician limestone floor of seam No.3 in Sanyuan mine, Changzhi was taken as example, the entropy weight and the analytic hierarchy process were coupled to determine the weight of the major controlling factors of water inrush from seam floor and to set up the vulnerability index model, K mean clustering method was used to conduct cluster partition of the vulnerability index value, three threshold values were determined. According to the degree of water inrush danger, the study area was divided into 4 zones:safe zone, the relatively safe zone, the transitional zone and the dangerous zone. Comparative verification proved that the evaluation results were consistent with the actual situation.
  • [1]
    武强,王金华,刘东海,等. 煤层底板突水评价的新型实用方法Ⅳ:基于GIS的AHP型脆弱性指数法应用[J]. 煤炭学报, 2009,34(2):233-238.

    WU Qiang,WANG Jinhua,LIU Donghai,et al. A new practical methodology of the coal floor water bursting evaluating Ⅳ:The application of AHP vulnerable index method based on GIS[J]. Journal of China Coal Society,2009,34(2):233-238.
    [2]
    樊振丽,武强,孙晓宇. 梧桐庄矿多含水层底板突水危险性评价[J]. 煤矿开采,2011,16(5):89-93.

    FAN Zhenli,WU Qiang,SUN Xiaoyu. Evaluation of floor water-burst danger over multi-aquifer in Wutongzhuang colliery[J]. Coal Mining Technology,2011,16(5):89-93.
    [3]
    李建林,张洪云,王心义,等. 脆弱性指数法在煤层底板突水预测中的应用与建议[J]. 煤炭学报,2014,39(4):725-730.

    LI Jianlin,ZHANG Hongyun,WANG Xinyi,et al. Application and suggestion on vulnerable index method of coal seam floor water burst evaluation[J]. Journal of China Coal Society,2014, 39(4):725-730.
    [4]
    罗成. GIS的AHP型脆弱性指数法在李雅庄矿底板突水评价中的应用[J]. 煤田地质与勘探,2012,40(5):47-50.

    LUO Cheng. The water inrush evaluation based on AHP vulnerability index method in Liyazhuang mining area[J]. Coal Geology & Exploration,2012,40(5):47-50.
    [5]
    李坤,曾一凡,尚彦军,等. 基于GIS的"三图-双预测法" 的应用[J]. 煤田地质与勘探,2015,43(2):58-62.

    LI Kun,ZENG Yifan,SHANG Yanjun,et al. The application of "three maps-two predictions" method based on GIS[J]. Coal Geology & Exploration,2015,43(2):58-62.
    [6]
    周泽,朱炎铭. 唐山矿岳胥区奥灰水带压开采危险性评价[J]. 煤田地质与勘探,2015,43(2):63-66.

    ZHOU Ze,ZHU Yanming. Water inrush risk evaluation of mining under pressure of Ordovician limestone water in Yuexu district in Tangshan mine[J]. Coal Geology & Exploration,2015, 43(2):63-66.
    [7]
    丘梅,施龙青,滕超,等. 赵官井田10煤层底板突水危险性评价[J]. 煤田地质与勘探,2015,43(3):61-65.

    QIU Mei,SHI Longqing,TENG Chao,et al. Evaluation of water inrush risk for No.10 coal seam floor of Zhaoguan mine field[J]. Coal Geology & Exploration,2015,43(3):61-65.
    [8]
    于雯琪,钱家忠,马雷,等. 基于GIS和AHP的谢桥煤矿13-1煤顶板突水危险性评价[J]. 煤田地质与勘探,2016,44(1):69-73.

    YU Wenqi,QIAN Jiazhong,MA Lei,et al. The water inrush risk assessment of roof of seam 13-1 in Xieqiao mine based on GIS and AHP[J]. Coal Geology & Exploration,2016,44(1):69-73.
    [9]
    马荣,石建省,刘继朝. 熵权耦合随机理论在含水层非均质综合指数研究中的应用[J]. 吉林大学学报(地球科学版),2011, 41(5):1520-1528.

    MA Rong,SHI Jiansheng,LIU Jichao. Application of entropy weight and stochastic theory to study the heterogeneity synthetic index of aquifer[J]. Journal of Jilin University(Earth Science Edition),2011, 41(5):1520-1528.
    [10]
    高长波,陈新庚,韦朝海,等. 熵权模糊综合评价在城市生态安全评价中的应用[J]. 应用生态学报,2006,17(1):1923-1927.

    GAO Changbo,CHEN Xingeng,WEI Chaohai,et al. Application of entropy weight and fuzzy synthetic evaluation in urban ecological security assessment[J]. Chinese Journal of Applied Ecology,2006, 17(1):1923-1927.
    [11]
    贾艳红,赵军,南忠仁,等. 熵权法在草原生态安全评价研究中的应用-以甘肃牧区为例[J]. 干旱区资源与环境,2007, 21(1):17-21.

    JIA Yanhong,ZHAO Jun,NAN Zhongren,et al. A case study at the ecological security evaluation of grassland to pastoral area of Gansu[J]. Journal of Arid Land Resources and Environment, 2007,21(1):17-21.
    [12]
    王任一,巨亚明,石家骧. 基于熵权系数与DTOPSIS集成油田生产能耗评价研究[J]. 资源调查与评价,2005(2):51-53.

    WANG Renyi,JU Yaming,SHI Jiaxiang. A study of energy consumption evaluation of integrated oil field based on entropy weight coefficient and DTOPSIS[J]. Management Geological Science and Technology,2005(2):51-53.
    [13]
    邱菀华. 管理决策与应用熵学[M]. 北京:机械工业出版社, 2002:87-90,193-196.
    [14]
    宫博,许开立,李德顺. 基于熵权-属性识别模型的地表水质量评价[J]. 环境科学导刊,2011,30(6):74-77.

    GONG Bo,XU Kaili,LI Deshun. Assessment of the surface water quality based on entropy weight of attribute recognition model[J]. Environmental Science Survey,2011,30(6):74-77.
    [15]
    尚天成,高彬彬,李翔鹏,等. 基于层次分析法和熵权法的城市土地集约利用评价[J]. 电子科技大学学报(社科版),2009, 11(6):6-9.

    SHANG Tiancheng,GAO Binbin,LI Xiangpeng,et al. Urban land intensive utilization evaluation based on AHP and entropy method[J]. Journal of UESTC (Social Sciences Edition),2009,11(6):6-9.
    [16]
    向文英,杨静,张雪. 模糊综合评价法的改进及其在水库水质评价中的应用[J]. 安全与环境学报,2015,15(6):344-348.

    XIANG Wenying,YANG Jing,ZHANG Xue. Improvement of fuzzy comprehensive evaluation method and its application to the evaluation of reservoir water quality[J]. Journal of Safety and Environment,2015,15(6):344-348.
    [17]
    武强,张志龙,张生元,等. 煤层底板突水评价的新型实用方法Ⅱ-脆弱性指数法[J]. 煤炭学报,2007,32(11):1121-1126.

    WU Qiang,ZHANG Zhilong,ZHANG Shengyuan,et al. A new practical methodology of the coal floor water bursting evaluating Ⅱ:The vulnerable index method[J]. Journal of China Coal Society,2007,32(11):1121-1126.
    [18]
    刘可新,包为民,阙家骏,等. 基于主成分分析的K均值聚类法在洪水预报中的应用[J]. 武汉大学学报(工学版),2015, 48(4):447-450.

    LIU Kexin,BAO Weimin,QUE Jiajun,et al. Application of K-mean cluster method to flood forecasting based on principal component analysis[J]. Engineering Journal of Wuhan University,2015,48(4):447-450.
    [19]
    刘星,毕奇龙,郑付刚. 基于蚁群K均值聚类算法的边坡稳定性分析[J]. 水电能源科学,2010,28(8):108-109.

    LIU Xing,BI Qilong,ZHENG Fugang. Analysis of slope stability based on ant colony K-means clustering algorithm[J]. Water Resources and Power,2010,28(8):108-109.
    [20]
    顾建华,毛国敏,吴新燕. 用K-均值聚类法改进地震灾害FAPE分类模型[J]. 自然灾害学报,2008,17(1):157-162.

    GU Jianhua,MAO Guomin,WU Xinyan. Improvement in FAPE classification model for earthquake disasters assessment by K-means cluster approach[J]. Journal of Natural Disasters,2008, 17(1):157-162.
    [21]
    陈陆望,殷晓曦,刘鑫,等. 华北隐伏型煤矿地下水水化学演化多元统计分析[J]. 煤田地质与勘探,2013,41(6):43-48.

    CHEN Luwang,YIN Xiaoxi,LIU Xin,et al. Multivariate statistical analysis on hydrochemical evolution of groundwater in the concealed coal mines in North China[J]. Coal Geology & Exploration,2013,41(6):43-48.
    [22]
    郑学召,于远祥. 模糊等价聚类分析在王村矿围岩稳定性分析中的应用[J]. 煤田地质与勘探,2014,42(5):55-60.

    ZHENG Xuezhao,YU Yuanxiang. Fuzzy equivalent clustering analysis of surrounding rock stability in Wangcun mine[J]. Coal Geology & Exploration,2014,42(5):55-60.
    [23]
    张晓亮. 山西三元煤业股份有限公司水文地质补充勘探报告[R]. 太原:山西省煤炭地质水文勘查研究院,2015.
    [24]
    尹尚先,虎维岳,刘其声,等. 承压含水层上采煤突水危险性评估研究[J]. 中国矿业大学学报,2008,37(3):311-315.

    YIN Shangxian,HU Weiyue,LIU Qisheng,et al. Risk assessment for water inrush from confined aquifers located under coal seams[J]. Journal of China University of Mining & Technology,2008,37(3):311-315.
    [25]
    王家臣,杨胜利. 采动影响对陷落柱活化导水机理数值模拟研究[J]. 采矿与安全工程学报,2009,26(2):140-144.

    WANG Jiachen,YANG Shengli. Numerical simulation of mining effect on collapse column activated water conducting mechanism[J]. Journal of Mining & Safety Engineering,2009,26(2):140-144.

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