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Volume 4 Issue 2
Jun.  2016
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Article Contents
LI Xiao-yuan, YUE Gao-fan, SU Ran, et al. 2016: Research on Pisha-sandstone’s anti-erodibility based on grey multi-level comprehensive evaluation method. Journal of Groundwater Science and Engineering, 4(2): 103-109.
Citation: LI Xiao-yuan, YUE Gao-fan, SU Ran, et al. 2016: Research on Pisha-sandstone’s anti-erodibility based on grey multi-level comprehensive evaluation method. Journal of Groundwater Science and Engineering, 4(2): 103-109.

Research on Pisha-sandstone’s anti-erodibility based on grey multi-level comprehensive evaluation method

  • Publish Date: 2016-06-28
  • After a comprehensive analysis for the influential factors like anti-erodibility chemical constitutes, mineral components and micro-structure characteristics of the Pisha-sandstone, and by combining AHP and grey correlation analysis, the anti-erodibility quantitative comparison for 5 types of Pisha-sandstones in Ordos is made on the basis of the grey multi-layer comprehensive assessment mode. The result shows that, from the anti-erodibility point of view, the order of those types is: Pink sandstone, celadon sandstone, purple sandstone, grey sandstone and commixed sandstone. For the evaluation process adopts a simple method, a direct, reasonable and practical result is given, which is also identical to the result of the field survey on soil and rock erosion problems. Consequently, the research on the Pisha-sandstone’s anti-erodibility issue is turned from the qualitative description process to the quantitative evaluation stage.
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    GU Shi-xiang, WANG Shi-wu, et al. 1999. A radial basis function model predicting daily reference evaporanspiration. Advances in Water Science, 10(2): 123–128 .
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    WU Li-jie, LI Xin-yong, et al. 2007. Quantitative characteristics of the microstructure of Pisha- sandstone. Acta Geoscientica Sinica, 28(6): 597–602 .
    XIAO Xin-ping, SONG Zhong-min, et al. 2005. Gray technology basis and its application. Beijing: Science Press, 236–243 .
    WEI Xin-guang, WANG Mi-xia, ZHANG qian. 2011. Research on reference crop evapotrans-piraion prediction model in irrigation district based on principal component analysis. Water Saving Irrigation, (1): 29–31 .
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