煤层底板突水评价的新型实用方法Ⅱ——脆弱性指数法
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摘要
为解决煤层底板突水预测预报评价的难题,在煤层底板突水主控指标体系建立的基础上,应用多源信息集成理论,论述了地理信息系统与人工神经网络法或证据权法或Logistic回归法或层次分析法的耦合方法的基本原理、过程和工作程序,提出了煤层底板突水预测预报评价的脆弱性指数法.
In order to solve the difficult evaluation problems on the coal floor water bursting,on the basis of establishment of the main controlling index system of the coal floor water bursting and application of the multi-sources information integration theory,introduced the principle,the process and the research routine on the coupling methods between the geographic information system(GIS) and the artificial neural network(ANN),or the weight of evidence,or the logistic regression,or the analytic hierarchy process(AHP).The vulnerable index method of the coal floor water bursting evaluation was presented.
In order to solve the difficult evaluation problems on the coal floor water bursting,on the basis of establishment of the main controlling index system of the coal floor water bursting and application of the multi-sources information integration theory,introduced the principle,the process and the research routine on the coupling methods between the geographic information system(GIS) and the artificial neural network(ANN),or the weight of evidence,or the logistic regression,or the analytic hierarchy process(AHP).The vulnerable index method of the coal floor water bursting evaluation was presented.
引文
[1]武强,张志龙,马积福.煤层底板突水评价的新型实用方法Ⅰ[J].煤炭学报,2007,32(1):42~47.
[2]武强,庞炜,戴迎春.煤层底板突水脆弱性评价的GIS与ANN耦合技术[J].煤炭学报,2006,31(6):314~319.
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[6]谢芳.集成系统中信息集成的关键技术[J].科技广场,2006(8):56~57.
[7]施鸿宝.神经网络及其应用[M].西安:西安交通大学出版社,1993.
[8]武强,陈佩佩,董东林.基于GIS与ANN耦合技术的地裂缝灾情非线性模拟预测系统——以山西榆次地裂缝灾害为例[J].地震地质,2002(6):249~257.
[9]苏红旗,葛艳,刘冬林.基于GIS的证据权重法矿产预测系统(EWM)[J].地质与勘探,1999(1):44~46.
[10]Bonhamr Carter G F,Agterberg F P.Weights of evidence:a newapproach to mapping mineral potential,statistical applica-tions in the earth sciences[M].Canada:Geological Survey of Canada,1990.231~245.
[11]王济川,郭志刚.Logistic回归模型-方法与应用[M].北京:高等教育出版社,2001.
[12]李雪平,唐辉明,陈实.基于GIS的Logistic回归在区域滑坡空间预测中的应用[J].公路交通科技,2005(6):152~155.
[13]Ohlmacher Gregory C,Davis John C.Using multiple logistic regression and GIS technology to predict landslide hazard inNortheast Kansas,USA[J].Engineering Geology,2003(69):331~343.
[14]许树柏.层次分析法原理[M].天津:天津大学出版社,1993.
[15]王莲芬.网络分析法(ANP)理论与算法[J].系统工程理论与实践,2001,21(3):44~50.
[16]温淑瑶,马占青.层次分析法在区域湖泊水资源可持续发展评价中的应用[J].长江流域资源与环境,2000(2):196~201.
[2]武强,庞炜,戴迎春.煤层底板突水脆弱性评价的GIS与ANN耦合技术[J].煤炭学报,2006,31(6):314~319.
[3]武强,徐建芳,董东林,等.基于GIS的地质灾害和水资源研究理论与方法[M].北京:地质出版社,2000.
[4]武强,金玉洁.华北型煤田矿井防治水决策系统[M].北京:煤炭工业出版社,1995.
[5]胡昌平,周永红.信息集成服务回顾与展望[J].图书馆论坛,2005(4):1~6.
[6]谢芳.集成系统中信息集成的关键技术[J].科技广场,2006(8):56~57.
[7]施鸿宝.神经网络及其应用[M].西安:西安交通大学出版社,1993.
[8]武强,陈佩佩,董东林.基于GIS与ANN耦合技术的地裂缝灾情非线性模拟预测系统——以山西榆次地裂缝灾害为例[J].地震地质,2002(6):249~257.
[9]苏红旗,葛艳,刘冬林.基于GIS的证据权重法矿产预测系统(EWM)[J].地质与勘探,1999(1):44~46.
[10]Bonhamr Carter G F,Agterberg F P.Weights of evidence:a newapproach to mapping mineral potential,statistical applica-tions in the earth sciences[M].Canada:Geological Survey of Canada,1990.231~245.
[11]王济川,郭志刚.Logistic回归模型-方法与应用[M].北京:高等教育出版社,2001.
[12]李雪平,唐辉明,陈实.基于GIS的Logistic回归在区域滑坡空间预测中的应用[J].公路交通科技,2005(6):152~155.
[13]Ohlmacher Gregory C,Davis John C.Using multiple logistic regression and GIS technology to predict landslide hazard inNortheast Kansas,USA[J].Engineering Geology,2003(69):331~343.
[14]许树柏.层次分析法原理[M].天津:天津大学出版社,1993.
[15]王莲芬.网络分析法(ANP)理论与算法[J].系统工程理论与实践,2001,21(3):44~50.
[16]温淑瑶,马占青.层次分析法在区域湖泊水资源可持续发展评价中的应用[J].长江流域资源与环境,2000(2):196~201.
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