Advanced Search

Indexed by SCI、CA、РЖ、PA、CSA、ZR、etc .

Volume 26 Issue 6
Nov 2015
Turn off MathJax
Article Contents
Ziye Wang, Renguang Zuo, Zhenjie Zhang. Spatial analysis of Fe deposits in Fujian Province, China: Implications for mineral exploration. Journal of Earth Science, 2015, 26(6): 813-820. doi: 10.1007/s12583-015-0597-9
Citation: Ziye Wang, Renguang Zuo, Zhenjie Zhang. Spatial analysis of Fe deposits in Fujian Province, China: Implications for mineral exploration. Journal of Earth Science, 2015, 26(6): 813-820. doi: 10.1007/s12583-015-0597-9

Spatial analysis of Fe deposits in Fujian Province, China: Implications for mineral exploration

doi: 10.1007/s12583-015-0597-9
More Information
  • Corresponding author: Renguang Zuo, zrguang@cug.edu.cn
  • Received Date: 12 Feb 2015
  • Accepted Date: 13 Jun 2015
  • Publish Date: 01 Dec 2015
  • Spatial point pattern statistics, fractal analysis and Fry analysis in support of GIS were applied to explore the spatial distribution characteristics of mineral deposits and the spatial relationships between mineralization and geological features in Fujian Province (China). The results of Ripley's K(r) revealed a clustered distribution of Fe deposits in space with a fractal dimension of 1.38. Fry analysis showed that Fe deposits distributed mainly along a NNE-NE trend. Buffer analysis showed that most of the known Fe deposits developed within 4 km buffer zones of the NNE-NE-trending faults, Yanshanian intrusions, and Late Paleozoic marine sedimentary rocks and the carbonate formations (C–P Formation), indicating that they possibly control the spatial distribution of Fe mineralization. This is possibly because the NNE-NE-trending faults, Yanshanian intrusions, and C–P Formation provided pathways of fluids, energy and a part of metal, and zones of deposition for the Fe mineralization, respectively. The fractal relation of the number of Fe deposits occurring within the buffer zones of geological features was observed. The fractal dimension suggested that the significance of Yanshanian intrusions and C–P Formation are greater than that of NNE-NE-trending faults in controlling the formation of Fe mineralization. These findings are useful for better understanding the formation of the mineralization and provide significant information for further mineral exploration.

     

  • loading
  • Agterberg, F. P., 1975. Spatial Clustering and Lognormal Size Distribution of Volcanogenic Massive Sulphide Deposits in the Bathurst Area. Geological Survey of Canada, 15–1C: 169–173. doi: 10.4095/103049
    Agterberg, F. P., 1984. Use of Spatial Analysis in Mineral Resource Evaluation. Journal of the International Association for Mathematical Geology, 16(6): 565–589. doi: 10.1007/bf01029317
    Agterberg, F. P., 2013. Fractals and Spatial Statistics of Point Patterns. Journal of Earth Science, 24(1): 1–11. doi: 10.1007/s12583-013-0305-6
    Agterberg, F. P., 2014. Correlation, Method of Least Squares, Linear Regression and the General Linear Model. Springer International Publishing, 18: 105–138
    Agterberg, F. P., Cheng, Q. M., Wright, D. F., 1993. Fractal Modeling of Mineral Deposits. In: Elbrond, J., Tang, X. eds., Application of Computers and Operations Research in the Mineral Industry. Proceedings of 24th APCOM Symposium, Montreal. 1: 143–53
    Baddeley, A., Turner, R., 2005. Spatstat: An R Package for Analyzing Spatial Point Patterns. Journal of Statistical Software, 12: 1–42 http://www.oalib.com/paper/2886350
    Blenkinsop, T. G., Sanderson, D. J., 1999. Are Gold Deposits in the Crust Fractals? A Study of Gold Mines in the Zimbabwe Craton. Geological Society, London, Special Publications, 155(1): 141–151. doi: 10.1144/gsl.sp.1999.155.01.11
    Blenkinsop, T., 1994. The Fractal Distribution of Gold Deposits: Two Examples from the Zimbabwe Archaean Craton. In: Kruhl, J. H., ed., Fractals and Dynamic Systems in Geoscience. Springer, Berlin. 247–258
    Blenkinsop, T., 2014. Scaling Laws for the Distribution of Gold, Geothermal, and Gas Resources. Pure and Applied Geophysics, 172(7): 2045–2056. doi: 10.1007/s00024-014-0909-5
    Carlson, C. A., 1991. Spatial Distribution of Ore Deposits. Geology, 19(2): 111–114 doi: 10.1130/0091-7613(1991)019<0111:SDOOD>2.3.CO;2
    Carranza, E. J. M., 2009. Controls on Mineral Deposit Occurrence Inferred from Analysis of Their Spatial Pattern and Spatial Association with Geological Features. Ore Geology Reviews, 35(3–4): 383–400. doi: 10.1016/j.oregeorev.2009.01.001
    Cheng, Q. M., Agterberg, F. P., 1995. Multifractal Modeling and Spatial Point Processes. Mathematical Geology, 27(7): 831–845. doi: 10.1007/bf02087098
    de Smith, M. J., Goodchild, M. F., Longley, P. A., 2007. Geospatial Analysis: A Comprehensive Guide to Principles, Techniques and Software Tools. Matador, Leicester
    Diggle, P. J., 2003. Statistical Analysis of Spatial Point Patterns (2nd ed. ). Arnold, London
    Ebdon, D., 1988. Statistics in Geography. Blackwell Publishing, Oxford
    Fry, N., 1979. Random Point Distributions and Strain Measurement in Rocks. Tectonophysics, 60(1–2): 89–105. doi: 10.1016/0040-1951(79)90135-5
    Gumiel, P., Sanderson, D. J., Arias, M., et al., 2010. Analysis of the Fractal Clustering of Ore Deposits in the Spanish Iberian Pyrite Belt. Ore Geology Reviews, 38(4): 307–318. doi: 10.1016/j.oregeorev.2010.08.001
    Perry, G. L. W., 2004. SpPack: Spatial Point Pattern Analysis in Excel Using Visual Basic for Applications (VBA). Environmental Modelling & Software, 19(6): 559–569. doi: 10.1016/j.envsoft.2003.07.004
    Han, F., Ge, C. H., 1983. Geological and Geochemical Features of Submarine Volcanic Hydrothermal-Sedimentary Mineralization of Makeng Iron Deposit, Fujian Province. Bulletin of the Institution of Mineral Deposits, Chinese Academy of Geological Sciences, 7: 1–118 (in Chinese with English Abstract)
    Hanna, S. S., Fry, N., 1979. A Comparison of Methods of Strain Determination in Rocks from Southwest Dyfed (Pembrokeshire) and Adjacent Areas. Journal of Structural Geology, 1(2): 155–162. doi: 10.1016/0191-8141(79)90052-x
    Lai, S. H., Chen, R. Y., Zhang, D., et al., 2014. Petrogeochemical Features and Zircon LA-ICP-MS U-Pb Ages of Granite in the Pantian Iron ore Deposit, Fujian Province and Their Relationship with Mineralization. Acta Petrologica Sinica, 30: 1780–1792 (in Chinese with English Abstract)
    Lisitsin, V., 2015. Spatial Data Analysis of Mineral Deposit Point Patterns: Applications to Exploration Targeting. Ore Geology Reviews, 71: 861–881. doi: 10.1016/j.oregeorev.2015.05.019
    Mamuse, A., Porwal, A., Kreuzer, O., et al., 2009. A New Method for Spatial Centrographic Analysis of Mineral Deposit Clusters. Ore Geology Reviews, 36(4): 293–305. doi: 10.1016/j.oregeorev.2009.06.001
    Mitchell, A., 2005. The ESRI Guide to GIS Analysis, Vol. 2: Spartial Measurements and Statistics. ESRI Press, Redlands
    Mao, J., Xie, G., Guo, C., et al., 2007. Large-Scale Tungsten-Tin Mineralization in the Nanling REGIOn South China: Metallogenic Ages and Corresponding Geodynamic Process. Acta Petrologica Sinica, 23: 2329–2338 (in Chinese with English Abstract)
    Mao, J., Xie, G., Guo, C., et al., 2008. Spatial-Temporal distribution of Mesozoic Ore Deposits in South China and Their Metallogenic Settings. Geological Journal of China Universities, 14: 510–526 (in Chinese with English Abstract)
    Mao, J., Xie, G., Li, X., et al., 2004. Mesozoic Large Scale Mineralization and Multiple Lithospheric Extension in South China. Earth Science Frontiers, 11: 45–55 (in Chinese with English Abstract)
    Raines, G. L., Sawatzky, D. L., Connors, K. A., 1996. Great Basin Geoscience Data Base. US Geological Survey Digital Data Series, 41 (DDS-41). 2 CD-ROMs
    Raines, G. L., 2008. Are Fractal Dimensions of the Spatial Distribution of Mineral Deposits Meaningful? Natural Resources Research, 17(2): 87–97. doi: 10.1007/s11053-008-9067-8
    Ripley, B. D., 1977. Modeling spatial patterns. Journal of the Royal Statistical Society, B, 39: 172–192 http://www.researchgate.net/publication/302214773_Modeling_spatial_patterns_With_discussion
    Ripley, B. D., 1981. Spatial Statistics. John Wiley and Sons, New York
    Ripley, B. D., 1988. Statistical Inference for Spatial Processes. Cambridge University Press, Cambridge. 148
    Shu, L., Zhou, X., 2002. Late Mesozoic Tectonism of Southeast China. Geological Review, 48: 249–260 (in Chinese with English Abstract) http://www.researchgate.net/publication/284418750_Late_Mesozoic_tectonism_of_Southeast_China
    Vearncombe, J., Vearncombe, S., 1999. The Spatial Distribution of Mineralization: Applications of Fry Analysis. Economic Geology, 94(4): 475–486. doi: 10.2113/gsecongeo.94.4.475
    Yuan, Y., Feng, H. B., Zhang, D., et al., 2013. Geochronology of Dapai Ironpolymetallic Deposit in Yongding City, Fujian Province and Its Geological Significance. Acta Mineralogical Sinica, 33: 73–75 (in Chinese)
    Zhang Z. J., Zuo, R. G., 2014. Sr-Nd-Pb Isotope Systematics of Magnetite: Implications for the Genesis of Makeng Fe Deposit, Southern China. Ore Geology Reviews, 57: 53–60 doi: 10.1016/j.oregeorev.2013.09.009
    Zhang, Q., Lin, Y., Xu, S., et al., 2008. A New View on Division of Terranes and Their Tectonic Evolution in Fujian Province. Resources Survey & Environment, 29: 168–176 (in Chinese with English Abstract)
    Zhang, Z. J., Zuo, R. G., Cheng, Q. M., 2014. The Mineralization Age of the Makeng Fe Deposit, South China: Implications from U-Pb and Sm-Nd Geochronology. International Journal of Earth Sciences, 104: 663–682
    Zhang, D., Wu, G., Di, Y., et al., 2012. Geochronology of Diagenesis and Mineralization of the Luoyang Iron Deposit in Zhangping City, Fujian Province and Its Geological Significance. Earth Science—Journal of China University of Geosciences, 37: 1217–1231 (in Chinese with English Abstract)
    Zhang, Y., Xu, X., Jia, D., et al., 2009. Deformation Record of the Change from Indosinian Collision-Related Tectonic System to Yanshanian Subduction-Related Tectonic System in South China during the Early Mesozoic. Earth Science Frontiers, 16: 234–247 (in Chinese with English Abstract)
    Zuo, R. G., Agterberg, F. P., Cheng, Q. M., et al., 2009a. Fractal Characterization of the Spatial Distribution of Geological Point Processes. International Journal of Applied Earth Observation and Geoinformation, 11: 394–402 doi: 10.1016/j.jag.2009.07.001
    Zuo, R. G., Cheng, Q. M., Agterberg, F. P., et al., 2009b. Evaluation of the Uncertainty in Estimation of Metal Resources of Skarn Tin in Southern China. Ore Geology Reviews, 35: 415–422 doi: 10.1016/j.oregeorev.2008.12.001
    Zuo, R. G., Zhang, Z. J., Zhang, D. J., et al., 2015. Evaluation of Uncertainty in Mineral Prospectivity Mapping due to Missing Evidence: A Case Study with Skarn-Type Fe Deposits in Southwestern Fujian Province, China. Ore Geology Reviews, 71: 502–515 doi: 10.1016/j.oregeorev.2014.09.024
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(15)

    Article Metrics

    Article views(2938) PDF downloads(90) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return