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    中国百强科技报刊

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    中国高校百佳科技期刊

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    Volume 36 Issue 2
    Mar.  2011
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    Article Contents
    HU Guang-dao, LI Zhen-hua, MEI Hong-bo, WU Xiang-ning, XIAO Dun-hui, YU Bing-fei, DING Lu-wei, JIANG Shan, TAN Zhao-hua, 2011. Geohazards Data Warehouse Design and Development of the Three Gorges Reservoir Area. Earth Science, (2): 255-261. doi: 10.3799/dqkx.2011.026
    Citation: HU Guang-dao, LI Zhen-hua, MEI Hong-bo, WU Xiang-ning, XIAO Dun-hui, YU Bing-fei, DING Lu-wei, JIANG Shan, TAN Zhao-hua, 2011. Geohazards Data Warehouse Design and Development of the Three Gorges Reservoir Area. Earth Science, (2): 255-261. doi: 10.3799/dqkx.2011.026

    Geohazards Data Warehouse Design and Development of the Three Gorges Reservoir Area

    doi: 10.3799/dqkx.2011.026
    • Received Date: 2010-11-20
    • Publish Date: 2011-03-01
    • Space-based design features eological data warehouse, unlike the traditional warehouse based on time. The key concept in the design of the multi-dimension model is to choose suitable multi-dimensions, such as spatial, temporal and attribute dimensions, and determine the granularity and measure, according the data requirements of the subject involved. A geohazards data warehouse of the Three Gorges Reservoir Area is built on 5 subjects to integrate the mass data in different space and time scales; the experiments show that the warehouse makes the geohazards prediction more accurate and rapid in two ways: Firstly, it enables fast search of the data since the data are re-organized by geohazards type, alarm levels and data layers; Secondly, it facilitates the discovery of the geohazards laws from data warehouse through the data mining tools.

       

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