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Research on the Prediction of the Geological Spatial Information Using Gray GIS Modeling Method Based on the Borehole Data and the Geologic Map

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Geo-Informatics in Resource Management and Sustainable Ecosystem (GRMSE 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 399))

Abstract

The geologic spatial information modeling is an important research area in the 3D-GIS field. The paper adopts the spatial raster data to represent the geologic spatial information, and the form of the information is the serial slices of plan raster matrix along the altitude direction. The paper regards the vertical borehole data and the plan geologic map as the basic geographical information, and utilizes the gray GIS theory to build the probabilistic modeling for the geologic spatial information, and applies the inverse distance weighted method to predict the geologic information, and establishes the plan geological section grid matrix for different altitude according to the maximum probability. The experimental results show that the gray GIS modeling method adapts to the complex conditions, and can construct more reasonable geological model with more basic geographical information.

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© 2013 Springer-Verlag Berlin Heidelberg

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Tao, J., Liu, X., Huang, J., Yu, B. (2013). Research on the Prediction of the Geological Spatial Information Using Gray GIS Modeling Method Based on the Borehole Data and the Geologic Map. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2013. Communications in Computer and Information Science, vol 399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41908-9_11

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  • DOI: https://doi.org/10.1007/978-3-642-41908-9_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41907-2

  • Online ISBN: 978-3-642-41908-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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