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Research on Evaluation of Degree of Complexity of Mining Fault Network Based on GIS
作者姓名:ZHANG  Hua  WANG  Yun-jia  LIU  Chuan-zhi
作者单位:School of Environment Science and Spatial Infornlatics, China Universit3.' of Mining & Technology, Xuzhou, Jiangsu 221008, China
摘    要:A large number of spatial and attribute data are involved in coal resource evaluation. Database is a relatively advanced data management technology, but its Major defects are the poor graphic and spatial data functions, from which it is difficult to realize scientific management of evaluation data with spatial characteristics and evaluation result maps. On account of these deficiencies, the evaluation of degree of complexity of mining fault network, based on GIS, is proposed, which integrates management of spatial and attribute data. Fractal is an index which can reflect the comprehensive information of faults' number, density, size, composition and dynamics mechanism. Fractal dimension is used as the quantitative evaluation index. Evaluation software has been developed based on a component GIS-MapX, with which the degree of complexity of fault network is evaluated quantitatively using the quantitative index of fractal dimensions in Liuqiao No.2 coal mine as an example. Results show that it is effective in acquiring model parameters and enhancing the definition of data and evaluation results with the application of GIS technology. The fault network is a system with fractal structure and its complexity can be described reasonably and accurately by fractal dimension, which provides an effective method for coal resource evaluation.

关 键 词:矿山  GIS  地理信息系统  空间数据
收稿时间:2006-05-20
修稿时间:2006-07-20

Research on Evaluation of Degree of Complexity of Mining Fault Network Based on GIS
ZHANG Hua WANG Yun-jia LIU Chuan-zhi.Research on Evaluation of Degree of Complexity of Mining Fault Network Based on GIS[J].Journal of China University of Mining and Technology,2007,17(1):63-67.
Authors:ZHANG Hua  WANG Yun-jia  LIU Chuan-zhi
Affiliation:School of Environment Science and Spatial Informatics, China University of Mining & Technology, Xuzhou, Jiangsu 221008, China
Abstract:A large number of spatial and attribute data are involved in coal resource evaluation. Database is a relatively advanced data management technology, but its Major defects are the poor graphic and spatial data functions, from which it is difficult to realize scientific management of evaluation data with spatial characteristics and evaluation result maps. On account of these deficiencies, the evaluation of degree of complexity of mining fault network, based on GIS,is proposed, which integrates management of spatial and attribute data. Fractal is an index which can reflect the comprehensive information of faults' number, density, size, composition and dynamics mechanism. Fractal dimension is used as the quantitative evaluation index. Evaluation software has been developed based on a component GIS-MapX,with which the degree of complexity of fault network is evaluated quantitatively using the quantitative index of fractal dimensions in Liuqiao No.2 coal mine as an example. Results show that it is effective in acquiring model parameters and enhancing the definition of data and evaluation results with the application of GIS technology. The fault network is a system with fractal structure and its complexity can be described reasonably and accurately by fractal dimension,which provides an effective method for coal resource evaluation.
Keywords:spatial data  fractal dimension  fault network  quantitative evaluation  GIS
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