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| 下庄矿田控矿断裂的分形特征 | |
| 引用本文： | 李社,管太阳,潘家永,曹双林. 下庄矿田控矿断裂的分形特征[J]. 地质找矿论丛, 2005, 20(4): 286-290 |
| 作者姓名： | 李社 管太阳 潘家永 曹双林 |
| 作者单位： | 1. 东华理工学院,地球科学系,江西,抚州,344000 2. 东华理工学院,地球科学系,江西,抚州,344000;中国科学院,地球化学研究所,贵阳,550002 3. 东华理工学院,地球科学系,江西,抚州,344000;南京大学,内生金属矿床成矿机制研究国家重点实验室,南京,210093 |
| 摘 要： | 运用分形理论对下庄矿田控矿断裂的空间分布特征研究的结果表明,控矿断裂的空间分布具有自相似性特征,分形理论可以定量地描述控矿断裂的分布规律.应用盒计维数法计算了控矿断裂空间分布的分数维值,并对不同成矿构造区的分数维特征进行了比较,探讨了分数维值的物理意义.实际资料计算结果显示,网格数目与尺度有很好的相关性,其相关系数均达0.99以上. |
| 关 键 词： | 下庄 分形 分数维 控矿断裂 空间分布 |
| 文章编号： | 1001-1412（2005）04-0286-05 |
| 收稿时间： | 2004-11-25 |
| 修稿时间： | 2005-03-03 |
FRACTAL CHARACTERISTICS OF ORE-CONTROLLING FAULTS IN XIAZHUANG URANIUM ORE FIELD |
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| LI She,GUAN Tai-yang,PAN Jia-yong and CAO Shuang-lin. FRACTAL CHARACTERISTICS OF ORE-CONTROLLING FAULTS IN XIAZHUANG URANIUM ORE FIELD[J]. Contributions to Geology and Mineral Resources Research, 2005, 20(4): 286-290 | |
| Authors: | LI She GUAN Tai-yang PAN Jia-yong CAO Shuang-lin |
| Affiliation: | 1. Department of Earth Sciences, East China Institute of Technology, Fuzhou 344000, China; 2. Institute of Geochemistry, Chinese Academy of sciences, Guiyang 550002, China; 3. State Key Laboratory for Mineral Deposits Research, Nanjing University, Nanjing 210093, China |
| Abstract: | Spatial distribution characteristics of the ore-controling faults in Xiazhuang uranium ore field are studied by using fractal theory in this paper. The results show that the spatial distribution are in selfsimilarity statistically and the distribution regularity can be quantitaively described bY fractal theory. Through utilization of grid chart method, the fractal dimensions of spatial distribution of ore-controling fault are calculated. In addition, properties of fractal dimension in different sub-area are compared and physical significance of fractal dimension is explored in this paper. Real datum computation shows that gridding counting number correlates to the scale very well with a correlation coefficient of more than 0.99. |
| Keywords: | Xiazhuang fractal fractal dimension ore-controling fault spatial distribution |
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