基于GIS的矿井煤层底板突水预测系统研发
|
摘要
随着开采水平的延伸和开采范围的扩大,矿井生产向纵深发展,矿井水害的威胁越来越严重,矿井水文地质工作也越来越多地得到了人们的广泛关注。本文在充分熟悉矿井防治水工作流程、了解现场矿井防治水急需的技术及遇到的难题的基础上,经过广泛调研,将水文地质、地理信息系统、数学地质、人工智能、计算机等技术相结合,研究了影响矿井煤层底板突水的关键因素,有目的地搜集现场水文地质资料,基于SQL Server2000数据库平台建立了矿井水文地质基础数据库,基于SuperMap Deskpro建立了矿井水文地质图形库;对矿井水害预测模型、矿井水文地质数据管理与可视化、专家系统在矿井水害预测与治理中的应用、水源判别方法等问题进行了深入研究,在Visual Studio .NET 2003平台下,建立了基于GIS的矿井煤层底板突水预测系统。利用突水系数与趋势、残差分析相结合实现了突水危险性分区、掘进及回采工作面突水预测;利用BP神经网络,综合考虑构造、水源、水压、隔水层厚度等因素对煤层底板突水的影响,实现了突水点预测;应用人工智能技术,模拟专家思维方式,实现了掘进与回采工作面突水问题的预测功能。系统建成后,在平煤五矿进行了应用,取得了良好的效果。
With the extending exploitation’s level and range,Mine production develops to depth. The flood threaten is increasingly serious. Mine hydrogeological work has been concerned by more and more people.On the basis of fully familiar with workflow of the mine flood forecast and control and understanding much-needed technology and the problems at the mine flood forecast and control, through extensive research,with the technology of hydrogeology, GIS, mathematics geology,artificial intelligence, computer technology and so on,this article research the key factors on the impact of the mine coal bed floor water inrush.After collecting the hydrogeological data at the scene,built a basis database of the mine hydrogeology based on the platform of SQL Server2000,establish a mine hydrogeological graphics library based on the SuperMap deskpro.On the basis of deep research the mine flood forecasting model, mine hydrogeological data management and visualization, application of expert system in the mine flood forecasting and management, identify water sources and other issues.Built the forecast system for water inrush from mine coal bed floor based on GIS in the platform of visual studio .net2003. It carries out risky district of flood, water-inrush forecast of driving and return-to-pick working face by using the flood coefficient,the trend and residual error analysis method; water inrush points forecast by using the BP neural network and considering the flood effect of structure, water source, water pressure, aquifuge thickness to coal floor; water inrush forecast of driving and coalface by using the artificial intelligence technology and simulated the expert thinking mode. Moreover, the soft has been tested in WUKUANG of Pingdingshan bore field and the result is good.
With the extending exploitation’s level and range,Mine production develops to depth. The flood threaten is increasingly serious. Mine hydrogeological work has been concerned by more and more people.On the basis of fully familiar with workflow of the mine flood forecast and control and understanding much-needed technology and the problems at the mine flood forecast and control, through extensive research,with the technology of hydrogeology, GIS, mathematics geology,artificial intelligence, computer technology and so on,this article research the key factors on the impact of the mine coal bed floor water inrush.After collecting the hydrogeological data at the scene,built a basis database of the mine hydrogeology based on the platform of SQL Server2000,establish a mine hydrogeological graphics library based on the SuperMap deskpro.On the basis of deep research the mine flood forecasting model, mine hydrogeological data management and visualization, application of expert system in the mine flood forecasting and management, identify water sources and other issues.Built the forecast system for water inrush from mine coal bed floor based on GIS in the platform of visual studio .net2003. It carries out risky district of flood, water-inrush forecast of driving and return-to-pick working face by using the flood coefficient,the trend and residual error analysis method; water inrush points forecast by using the BP neural network and considering the flood effect of structure, water source, water pressure, aquifuge thickness to coal floor; water inrush forecast of driving and coalface by using the artificial intelligence technology and simulated the expert thinking mode. Moreover, the soft has been tested in WUKUANG of Pingdingshan bore field and the result is good.
引文
[1]李颖.基于支持向量机的煤层底板突水预测方法研究[D] .北京:煤炭科学研究总院,2007.
[2]胡宏清.喀斯特煤矿山矿井突水预测及水害防治研究——以贵州黔西新红林煤矿为例[D].贵阳:贵州大学,2007.
[3]尹会永.潘西煤矿煤层底板突水机理及预测预报研究[D].青岛:山东科技大学,2005.
[4]赵铁锤.坚持"十六字"原则落实"五项"措施努力构建煤矿水害防治长效机制[EB].(2006-6) http://blog.sina.com.cn/s/blog_4939c7d3010004mp.html.
[5]王作宇,刘鸿泉.承压水上采煤[M].北京:煤炭工业出版社,1993.
[6]樊成.煤层底板岩体结构及其阻水能力评价[D].淮南:安徽理工大学,2002.
[7]杨成田.专门水文地质学[M].北京:地质出版社,1981.7.
[8](波)M.鲍莱茨基,M.胡戴克著,于振海,刘天泉译.矿山岩体力学[M].北京:煤炭工业出版社,1985.
[9](苏)H.A多尔恰尼诺夫.赵义译.构造应力与井巷工程稳定性[M].北京:煤炭工业出版社,1984.
[10]张文泉.矿井突水灾害的动态机理及综合判测和预报软件开发研究[D].青岛:山东科技大学,2004.
[11]中国统配煤矿总公司技术发展局,华北型煤田奥灰岩溶水综合防治工业性试,1989.
[12]张金才.煤层底板突水预测的理论判据及其应用[J].力学与实践,1990,12(2):35-38.
[13]黎良杰.采场底板突水机理的研究[D].北京:北京大学,1995.
[14]Kesseru,Z. S..矿坑突水的两个状寄理论模型[J].水文工程地质译丛,1987.
[15]白展光,黎良杰,于学截.承压水底板关键层失稳的尖点突变模型[J].煤炭学报,1997,22(2):149-154.
[16]邵爱军,彭建萍等.矿坑底板突水的突变模型研究[J].岩土工程学报,2001,23(1):38-41.
[17]李京红,王晓明.带压安全开采预测模式及应用方法研究[J].煤田地质与勘探,1997,25(2):34-37.
[18]李富平.煤矿回采工作面突水预测的方法探讨[J].河北煤炭,1997(2):8-10.
[19]虎维岳,王广才.煤矿水害防治技术的现状及发展趋势[J].煤田地质与勘探,1997,25(A00):17-23.
[20]李国臣等.浅谈矿山压力对底板突水的影响[J].矿山压力与项板管理,1997(3):79-80,100.
[21]李定龙.应用神经网络对煤矿突水预测评价[J].煤,1998,7(6): 18-19,46.
[22]武强,金玉洁.华北型煤田矿井水防治决策系统[M].北京:煤炭工业出版社,1995.
[23]冯雅君,张纪勇,王文林.采煤工作面突水预测专家系统研制[J].测绘通报,1996(1):35-38.
[24]张文泉等.矿井水害防治专家系统[J].计算机工程,2000,26(5):83–85.
[25]杨永国,李宾亭等.鹤壁矿务局矿井突水等级模糊综合评判及预测.中国矿业大学学报,1998,27(2):204-208.
[26]李加祥.用模糊数学预测煤层底板的突水[J].山东矿业学院学报,1990,9(1):5-10.
[27]刘伟韬,张文泉,李加样.用层次分析-模糊评判进行底板突水安全性评价[J].煤炭学报,2000,25(3):278-282.
[28]靳德武,王延福,马培智.煤层底板突水的动力学分析[J].西安矿业学院学报,1997,17(4):35-356.
[29]王延福,庞西岐等.岩溶矿井煤层底板突水的非线性动力学模型[J].中国岩溶,2000,19(1):81-89.
[30]靳德武,王延福.华北型煤田矿坑突水因素的信息分析[J].煤田地质与勘探,1998,26(A00):30-32.
[31]张西民,侯育道.采煤工作面底板突水危险性的量化评价[J].西安矿业学院学报,1998,18(1):32-36.
[32]王连国,宋杨.矿井突水危险性评价模型[J].工程地质学报,2001,9(2):158-163.
[33]施龙青,韩进等.用突水概率指数法预测采场底板突水[J].中国矿业大学学报,1999,18(4):442-444,460.
[34]倪宏革,罗国煜.煤矿水害的优势面机理研究[J].煤炭学报,2000,25(5):518-521.
[35]管思太,武强等.煤矿底板突水的多源地学信息复合模型研究[J].工程勘察,2001(4):18-20.
[36]孙苏南,曹中初,郑世书.用地理信息系统预测煤矿底板突水-以峰峰二矿小育煤采区为例[J].煤田地质与勘探,1996,24(6):40-43.
[37]李白英.预防矿井底板突水的“下三带”理论及其发展与应用[J].山东矿业学院学报,1999,18(4):11-18.
[38]李连崇.承压水煤层底板突水的数值试验研究[D].沈阳:东北大学,2003.
[39]郭惟嘉等.底板突水系数概念及其应用[J].河北煤炭,1989,8(2):42-45.
[40]淮北矿务局杨庄矿11633工作面底板原位测试及其突水可能性预测,煤科总院西安分院,1998.
[41]李白英.预防矿井底板突水的“下三带”理论及其发展和应用[J] .山东矿业学院学报,1999,7(4):32-36.
[42]王作宇,刘鸿泉.煤层底板突水机制的研究.煤田地质与勘探, 1980(1):6-9.
[43]王作宇.底板零位破坏带最大深度的分析计算.煤炭科学技术,1992,3(2):2-6.
[44]张金才.煤层底板突水预测的理论与实践.煤田地质与勘探,1989(4):38-41.
[45]刘光庆,于旭磊,李凤海,张文泉,刘伟韬,李家祥.矿井顶板水害预测与防治专家系统[J].中国地质灾害与防治学报,2001. 12(1):71-74.
[46]武强等.评价煤层项板涌(突)水条件的“三图一双预测法”[J].煤炭学报,2000,25(1):60-65.
[47]郑纲等.模糊聚类分析法预测顶板砂岩含水层突水点及突水量[J].煤矿安全,2004,35(1):24-25.
[48]刘小松等.基于GIS的东滩煤矿顶板突水预测预报[J].河北建筑科技学院学报,2002,19(3):66-68.
[49]武强,钱增江等.基于GIS的矿井水文地质信息系统开发与应用[J],煤炭科学技术,2001,2 9(11):30-33.
[50]张春霞.矿井水文地质信息管理与水害预测系统[D].青岛:山东科技大学,2004.
[51]崔三元,崔若非.基于GIS的煤矿水害多源信息预测方法研究[J].地球物理学进展,2006,21(4):1309-1313.
[52]张海荣,周荣福,郭达志,杜培军.基于GIS复合分析的煤矿顶板水害预测研究[J].中国矿业大学学报.2005,34(1):112-116.
[53]张少春,张西民.采煤工作面底板突水判据的建立及应用[J].陕西煤炭,2004,(2):19-21.
[54]王凯,位爱竹,陈彦飞,俞启香.煤层底板突水的突变理论预测方法及其应用[J].中国安全科学学报.2004,14(1):11-14.
[55]韩进,朱鲁,程久龙等.煤矿水害预测软件开发[J].辽宁工程技术大学学报.2003,22(5):589-591.
[56]靳德武.华北型煤田煤层底板突水预测信息分析理论、方法及应用[J].中国岩溶.2003,22(1):41-46.
[57]高卫东,渠立权.基于GIS的煤层底板突水预测[J].测绘通报.2003,(12):45-46.
[58]吴景龙,王巨,王春山.人工神经网络系统在预防煤矿突水中应用[J].煤矿安全,2008,(4):55-57.
[59]姜成志,张绍兵.建立在神经网络基础上的煤矿突水预测模型[J].黑龙江科技学院学报.2006,16(1):8-11.
[60]雷西玲,张景,谢天保.基于遗传神经网络的煤矿突水预测[J].计算机工程.2003,29(1):132-134.
[61]邱秀敏,王连国.煤层底板突水人工神经网络预测[J].山东农业大学学报.2002,33(1):62-65.
[62]刘伟韬,宋传文,张国玉.底板突水的专家评分-层次分析预测与评价[J].工程勘察.2002,(1):22-25.
[63]刘伟韬,陈学星.底板突水预测与评价的专家系统方法研究[J].中国地质灾害与防治学报.2001,12(2):70-74.
[64]王庆宏.判别分析法在太原西峪煤矿底板突水预测中的应用[J].科技情报开发与经济,2007,17(35):257-259.
[65]王家春,胡东祥,尚衍峰.煤层底板奥灰突水预测综合技术应用[J].中州煤炭,2007,(6):46-47.
[66]杨风旺,杨增越.底板突水预测预报理论及技术[J].煤矿开采,2007,12(3):75-78.
[67]中国生,江文武,徐国元.底板突水的突变理论预测[J].辽宁工程技术大学学报,2007,26(2):216-218.
[68]张心彬,程久龙,李丽,薛重生.多源信息融合技术在矿井奥灰突水预测中的应用[J].测绘科学.2006,31(6):146-149.
[69]周笑绿,孙亚军.东滩煤矿3煤顶板水害预测[J].矿业研究与开发.2005,25(4):74-77.
[70]郑刚.模糊聚类分析法预测顶板砂岩含水层突水点及突水量[J].煤矿安全.2004,35(1):24-25.
[71]高致宏,林平,梁爽.煤矿水患预测的有效手段[J].煤炭技术.2003,22(9):67-68.
[72]Zheng,Yong-Guo etc. The exploration and prevention of mine water invasion in FEICHENG area based on RS[J]. International Society for Optical Engineering, Bellingham, WA 98227-0010,United States,2004,5568:197-204.
[73]Wu,Qiang etc. Decision-making system for mine water inflow control and treatment in the North China coal bearing basin[M]. A.A. Balkema Publishers,2002.
[74]Mercuri,A.M. etc. The use of saline mine water and municipal wastes to establish plantations on rehabilitated open-cut coal mines, Upper Hunter Valley NSW, Australia[J]. Elsevier.2005,204(2-3):195-207.
[75]Sawatsky, L.F etc. Optimizing water management at Gregg River Coal Mine[J]. CIM, Montreal,Que,Ca.1997,90(1015):66-70.
[76] Castro, James M.etc.Stimulation of sulfate-reducing bacteria in lake water from a former open-pit mine through addition of organic wastes[J]. Water Environment Federation,USA.1999,71(2):218-223.
[77]Chaulya,S.K.. Water resource accounting for a mining area in India[J].Kluwer Academic Publishers.1999,93(1-3):68-69.
[78]Li,Gongyu.Impact of karst water on coal mining in North China[J]. A.A.Balkema Publishers.2006,49(3):449-457.
[79]Wu,J.C. etc.Study on the numerical simulation of mine dewatering in a large-scale opencut coal mine, China[J]. Computational Mechanics Publ, Ashurst, Engl.1998,1: 387-394.
[80] Lambert, Douglas C. etc. Long-term changes in quality of discharge water from abandoned underground coal mines in Uniontown Syncline, Fayette County, PA, USA[J].Elsevier Ltd.2004,38(2): 277-288.
[81] Kalin,Margarete.Passive mine water treatment: The correct approach? [J]. Elsevier, Amsterdam,1000 AE, Netherlands.2004,22(4-5): 299-304.
[82]Trckova,J.. Model studies of an open-pit mine bottom loaded by artesian water pressure[J]. Springer-Verlag GmbH & Company KG, Berlin, Germany1998,35(4):245-250.
[83]Li ping-Shi etc. A configuration software of observation system on mine water flow.Computer Applications in the Minerals Industries:pp129-132,2001.
[84]LIU Wei-tao etc. Evaluation Methods on Safety of Mine Floor Water Inrush. Proceedings of the 2004 International Symposium on Safety Science and Technology.pp973-978,2004.
[85]Liu Hui-de etc.GIS-basedst udyo nm inesa fetyd ecisions upportsy ste. Computer Applications in the Minerals Industries:pp577-580,2001.
[86]Li Xiang-dong etc.MANAGE INFORMATION SYSTEM IN COAL MINE BASED ON GIS. International Conference of Industrial Engineering and Engineering Management.pp1-3,2003.
[87]Huang Gui-zhen etc.The expert system of mine hydrogeology[J].Journal of guil in institute of technology.2000,20(2):180-185.
[88]Antony Galton etc. Anchoring:A New Approach to Handling Indeterminate Location in GIS[J].Lecture Notes in Computer Science.2005,3693:1-13.
[89]Zydrunas Denas etc. Integrated Approach and Application of Gis for Management of Geological Data[J]. The Current Role of Geological Mapping in Geosciences. 2005,26:135-150.
[90]Stan Openshaw.The Effect of Resident-Perceived Neighborhood Boundary on the Equity of Public Parks Distribution: Using GIS[J]. Lecture Notes in Computer Science.2005,3833:296-307.
[91]El-Yamine Kettal. Expert spatial knowledge: an expert geographical information system in diffusion of water[J].Lecture Notes in Computer Science.1994,856: 455-464.
[92]J.Athersuch.The application of expert systems to the identification and use of microfossils in the petroleum industry[J].Mathematical Geology.1994,26(4): 483-489.
[93]刘仁义,刘南.ArcGIS开发宝典----从入门到精通[M].北京:科学出版社,2006.
[94]北京超图公司.SuperMap程序员参考手册.北京:北京超图地理信息技术有限公司,2001.12:40-60.
[2]胡宏清.喀斯特煤矿山矿井突水预测及水害防治研究——以贵州黔西新红林煤矿为例[D].贵阳:贵州大学,2007.
[3]尹会永.潘西煤矿煤层底板突水机理及预测预报研究[D].青岛:山东科技大学,2005.
[4]赵铁锤.坚持"十六字"原则落实"五项"措施努力构建煤矿水害防治长效机制[EB].(2006-6) http://blog.sina.com.cn/s/blog_4939c7d3010004mp.html.
[5]王作宇,刘鸿泉.承压水上采煤[M].北京:煤炭工业出版社,1993.
[6]樊成.煤层底板岩体结构及其阻水能力评价[D].淮南:安徽理工大学,2002.
[7]杨成田.专门水文地质学[M].北京:地质出版社,1981.7.
[8](波)M.鲍莱茨基,M.胡戴克著,于振海,刘天泉译.矿山岩体力学[M].北京:煤炭工业出版社,1985.
[9](苏)H.A多尔恰尼诺夫.赵义译.构造应力与井巷工程稳定性[M].北京:煤炭工业出版社,1984.
[10]张文泉.矿井突水灾害的动态机理及综合判测和预报软件开发研究[D].青岛:山东科技大学,2004.
[11]中国统配煤矿总公司技术发展局,华北型煤田奥灰岩溶水综合防治工业性试,1989.
[12]张金才.煤层底板突水预测的理论判据及其应用[J].力学与实践,1990,12(2):35-38.
[13]黎良杰.采场底板突水机理的研究[D].北京:北京大学,1995.
[14]Kesseru,Z. S..矿坑突水的两个状寄理论模型[J].水文工程地质译丛,1987.
[15]白展光,黎良杰,于学截.承压水底板关键层失稳的尖点突变模型[J].煤炭学报,1997,22(2):149-154.
[16]邵爱军,彭建萍等.矿坑底板突水的突变模型研究[J].岩土工程学报,2001,23(1):38-41.
[17]李京红,王晓明.带压安全开采预测模式及应用方法研究[J].煤田地质与勘探,1997,25(2):34-37.
[18]李富平.煤矿回采工作面突水预测的方法探讨[J].河北煤炭,1997(2):8-10.
[19]虎维岳,王广才.煤矿水害防治技术的现状及发展趋势[J].煤田地质与勘探,1997,25(A00):17-23.
[20]李国臣等.浅谈矿山压力对底板突水的影响[J].矿山压力与项板管理,1997(3):79-80,100.
[21]李定龙.应用神经网络对煤矿突水预测评价[J].煤,1998,7(6): 18-19,46.
[22]武强,金玉洁.华北型煤田矿井水防治决策系统[M].北京:煤炭工业出版社,1995.
[23]冯雅君,张纪勇,王文林.采煤工作面突水预测专家系统研制[J].测绘通报,1996(1):35-38.
[24]张文泉等.矿井水害防治专家系统[J].计算机工程,2000,26(5):83–85.
[25]杨永国,李宾亭等.鹤壁矿务局矿井突水等级模糊综合评判及预测.中国矿业大学学报,1998,27(2):204-208.
[26]李加祥.用模糊数学预测煤层底板的突水[J].山东矿业学院学报,1990,9(1):5-10.
[27]刘伟韬,张文泉,李加样.用层次分析-模糊评判进行底板突水安全性评价[J].煤炭学报,2000,25(3):278-282.
[28]靳德武,王延福,马培智.煤层底板突水的动力学分析[J].西安矿业学院学报,1997,17(4):35-356.
[29]王延福,庞西岐等.岩溶矿井煤层底板突水的非线性动力学模型[J].中国岩溶,2000,19(1):81-89.
[30]靳德武,王延福.华北型煤田矿坑突水因素的信息分析[J].煤田地质与勘探,1998,26(A00):30-32.
[31]张西民,侯育道.采煤工作面底板突水危险性的量化评价[J].西安矿业学院学报,1998,18(1):32-36.
[32]王连国,宋杨.矿井突水危险性评价模型[J].工程地质学报,2001,9(2):158-163.
[33]施龙青,韩进等.用突水概率指数法预测采场底板突水[J].中国矿业大学学报,1999,18(4):442-444,460.
[34]倪宏革,罗国煜.煤矿水害的优势面机理研究[J].煤炭学报,2000,25(5):518-521.
[35]管思太,武强等.煤矿底板突水的多源地学信息复合模型研究[J].工程勘察,2001(4):18-20.
[36]孙苏南,曹中初,郑世书.用地理信息系统预测煤矿底板突水-以峰峰二矿小育煤采区为例[J].煤田地质与勘探,1996,24(6):40-43.
[37]李白英.预防矿井底板突水的“下三带”理论及其发展与应用[J].山东矿业学院学报,1999,18(4):11-18.
[38]李连崇.承压水煤层底板突水的数值试验研究[D].沈阳:东北大学,2003.
[39]郭惟嘉等.底板突水系数概念及其应用[J].河北煤炭,1989,8(2):42-45.
[40]淮北矿务局杨庄矿11633工作面底板原位测试及其突水可能性预测,煤科总院西安分院,1998.
[41]李白英.预防矿井底板突水的“下三带”理论及其发展和应用[J] .山东矿业学院学报,1999,7(4):32-36.
[42]王作宇,刘鸿泉.煤层底板突水机制的研究.煤田地质与勘探, 1980(1):6-9.
[43]王作宇.底板零位破坏带最大深度的分析计算.煤炭科学技术,1992,3(2):2-6.
[44]张金才.煤层底板突水预测的理论与实践.煤田地质与勘探,1989(4):38-41.
[45]刘光庆,于旭磊,李凤海,张文泉,刘伟韬,李家祥.矿井顶板水害预测与防治专家系统[J].中国地质灾害与防治学报,2001. 12(1):71-74.
[46]武强等.评价煤层项板涌(突)水条件的“三图一双预测法”[J].煤炭学报,2000,25(1):60-65.
[47]郑纲等.模糊聚类分析法预测顶板砂岩含水层突水点及突水量[J].煤矿安全,2004,35(1):24-25.
[48]刘小松等.基于GIS的东滩煤矿顶板突水预测预报[J].河北建筑科技学院学报,2002,19(3):66-68.
[49]武强,钱增江等.基于GIS的矿井水文地质信息系统开发与应用[J],煤炭科学技术,2001,2 9(11):30-33.
[50]张春霞.矿井水文地质信息管理与水害预测系统[D].青岛:山东科技大学,2004.
[51]崔三元,崔若非.基于GIS的煤矿水害多源信息预测方法研究[J].地球物理学进展,2006,21(4):1309-1313.
[52]张海荣,周荣福,郭达志,杜培军.基于GIS复合分析的煤矿顶板水害预测研究[J].中国矿业大学学报.2005,34(1):112-116.
[53]张少春,张西民.采煤工作面底板突水判据的建立及应用[J].陕西煤炭,2004,(2):19-21.
[54]王凯,位爱竹,陈彦飞,俞启香.煤层底板突水的突变理论预测方法及其应用[J].中国安全科学学报.2004,14(1):11-14.
[55]韩进,朱鲁,程久龙等.煤矿水害预测软件开发[J].辽宁工程技术大学学报.2003,22(5):589-591.
[56]靳德武.华北型煤田煤层底板突水预测信息分析理论、方法及应用[J].中国岩溶.2003,22(1):41-46.
[57]高卫东,渠立权.基于GIS的煤层底板突水预测[J].测绘通报.2003,(12):45-46.
[58]吴景龙,王巨,王春山.人工神经网络系统在预防煤矿突水中应用[J].煤矿安全,2008,(4):55-57.
[59]姜成志,张绍兵.建立在神经网络基础上的煤矿突水预测模型[J].黑龙江科技学院学报.2006,16(1):8-11.
[60]雷西玲,张景,谢天保.基于遗传神经网络的煤矿突水预测[J].计算机工程.2003,29(1):132-134.
[61]邱秀敏,王连国.煤层底板突水人工神经网络预测[J].山东农业大学学报.2002,33(1):62-65.
[62]刘伟韬,宋传文,张国玉.底板突水的专家评分-层次分析预测与评价[J].工程勘察.2002,(1):22-25.
[63]刘伟韬,陈学星.底板突水预测与评价的专家系统方法研究[J].中国地质灾害与防治学报.2001,12(2):70-74.
[64]王庆宏.判别分析法在太原西峪煤矿底板突水预测中的应用[J].科技情报开发与经济,2007,17(35):257-259.
[65]王家春,胡东祥,尚衍峰.煤层底板奥灰突水预测综合技术应用[J].中州煤炭,2007,(6):46-47.
[66]杨风旺,杨增越.底板突水预测预报理论及技术[J].煤矿开采,2007,12(3):75-78.
[67]中国生,江文武,徐国元.底板突水的突变理论预测[J].辽宁工程技术大学学报,2007,26(2):216-218.
[68]张心彬,程久龙,李丽,薛重生.多源信息融合技术在矿井奥灰突水预测中的应用[J].测绘科学.2006,31(6):146-149.
[69]周笑绿,孙亚军.东滩煤矿3煤顶板水害预测[J].矿业研究与开发.2005,25(4):74-77.
[70]郑刚.模糊聚类分析法预测顶板砂岩含水层突水点及突水量[J].煤矿安全.2004,35(1):24-25.
[71]高致宏,林平,梁爽.煤矿水患预测的有效手段[J].煤炭技术.2003,22(9):67-68.
[72]Zheng,Yong-Guo etc. The exploration and prevention of mine water invasion in FEICHENG area based on RS[J]. International Society for Optical Engineering, Bellingham, WA 98227-0010,United States,2004,5568:197-204.
[73]Wu,Qiang etc. Decision-making system for mine water inflow control and treatment in the North China coal bearing basin[M]. A.A. Balkema Publishers,2002.
[74]Mercuri,A.M. etc. The use of saline mine water and municipal wastes to establish plantations on rehabilitated open-cut coal mines, Upper Hunter Valley NSW, Australia[J]. Elsevier.2005,204(2-3):195-207.
[75]Sawatsky, L.F etc. Optimizing water management at Gregg River Coal Mine[J]. CIM, Montreal,Que,Ca.1997,90(1015):66-70.
[76] Castro, James M.etc.Stimulation of sulfate-reducing bacteria in lake water from a former open-pit mine through addition of organic wastes[J]. Water Environment Federation,USA.1999,71(2):218-223.
[77]Chaulya,S.K.. Water resource accounting for a mining area in India[J].Kluwer Academic Publishers.1999,93(1-3):68-69.
[78]Li,Gongyu.Impact of karst water on coal mining in North China[J]. A.A.Balkema Publishers.2006,49(3):449-457.
[79]Wu,J.C. etc.Study on the numerical simulation of mine dewatering in a large-scale opencut coal mine, China[J]. Computational Mechanics Publ, Ashurst, Engl.1998,1: 387-394.
[80] Lambert, Douglas C. etc. Long-term changes in quality of discharge water from abandoned underground coal mines in Uniontown Syncline, Fayette County, PA, USA[J].Elsevier Ltd.2004,38(2): 277-288.
[81] Kalin,Margarete.Passive mine water treatment: The correct approach? [J]. Elsevier, Amsterdam,1000 AE, Netherlands.2004,22(4-5): 299-304.
[82]Trckova,J.. Model studies of an open-pit mine bottom loaded by artesian water pressure[J]. Springer-Verlag GmbH & Company KG, Berlin, Germany1998,35(4):245-250.
[83]Li ping-Shi etc. A configuration software of observation system on mine water flow.Computer Applications in the Minerals Industries:pp129-132,2001.
[84]LIU Wei-tao etc. Evaluation Methods on Safety of Mine Floor Water Inrush. Proceedings of the 2004 International Symposium on Safety Science and Technology.pp973-978,2004.
[85]Liu Hui-de etc.GIS-basedst udyo nm inesa fetyd ecisions upportsy ste. Computer Applications in the Minerals Industries:pp577-580,2001.
[86]Li Xiang-dong etc.MANAGE INFORMATION SYSTEM IN COAL MINE BASED ON GIS. International Conference of Industrial Engineering and Engineering Management.pp1-3,2003.
[87]Huang Gui-zhen etc.The expert system of mine hydrogeology[J].Journal of guil in institute of technology.2000,20(2):180-185.
[88]Antony Galton etc. Anchoring:A New Approach to Handling Indeterminate Location in GIS[J].Lecture Notes in Computer Science.2005,3693:1-13.
[89]Zydrunas Denas etc. Integrated Approach and Application of Gis for Management of Geological Data[J]. The Current Role of Geological Mapping in Geosciences. 2005,26:135-150.
[90]Stan Openshaw.The Effect of Resident-Perceived Neighborhood Boundary on the Equity of Public Parks Distribution: Using GIS[J]. Lecture Notes in Computer Science.2005,3833:296-307.
[91]El-Yamine Kettal. Expert spatial knowledge: an expert geographical information system in diffusion of water[J].Lecture Notes in Computer Science.1994,856: 455-464.
[92]J.Athersuch.The application of expert systems to the identification and use of microfossils in the petroleum industry[J].Mathematical Geology.1994,26(4): 483-489.
[93]刘仁义,刘南.ArcGIS开发宝典----从入门到精通[M].北京:科学出版社,2006.
[94]北京超图公司.SuperMap程序员参考手册.北京:北京超图地理信息技术有限公司,2001.12:40-60.