Volume 26 Issue 2
Apr.  2018
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2018: INFORMATION AND LOGISTIC REGRESSION MODELS BASED COUPL-ING ANALYSIS FOR SUSCEPTIBILITY OF GEOLOGICAL HAZARDS. JOURNAL OF ENGINEERING GEOLOGY, 26(2): 340-347. doi: 10.13544/j.cnki.jeg.2017-052
Citation: 2018: INFORMATION AND LOGISTIC REGRESSION MODELS BASED COUPL-ING ANALYSIS FOR SUSCEPTIBILITY OF GEOLOGICAL HAZARDS. JOURNAL OF ENGINEERING GEOLOGY, 26(2): 340-347. doi: 10.13544/j.cnki.jeg.2017-052

INFORMATION AND LOGISTIC REGRESSION MODELS BASED COUPL-ING ANALYSIS FOR SUSCEPTIBILITY OF GEOLOGICAL HAZARDS

doi: 10.13544/j.cnki.jeg.2017-052
  • Received Date: 2017-02-08
  • Accepted Date: 2017-08-28
  • Publish Date: 2018-04-25
  • Wenchuan earthquake induced a large amount of geological disasters such as landslides and collapses. Besides, the earthquake also caused a lot of the loose and broken rock mass. Those loose rock mass can produce large amounts of secondary geological disasters under the rainfall and other factors, which has great danger. Therefore, it has very important practical significance for geological disaster susceptibility evaluation of Wenchuan country. Based on GIS raster data model, this paper selects nine factors including elevation, gradient, slope direction, relief amplitude, gully density, the engineering rock group, fault, drainage and roads. It adopts the information, logistic and information-logistic coupling models for assessment of geological hazards. The results show that the coupling model is more reasonable and has higher precision. High and very high susceptibility of geological hazard areas are concentrated in the water extension area and fault concentration area. Susceptibility partition map of the calculation results is consistent with the actual situation of the study area and can play an important reference role in the geological hazard risk assessment.
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