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has been cited by the following article:

• TITLE: Joint Probability Prediction Model of Rainfall Triggered Landslides and Debris Flows

  AUTHORS: Guilin Liu, Defu Liu, Tianfu Li, Fengqing Wang, Tao Zou

  KEYWORDS: Prediction; Rainfall; Landslides and Debris Flows; DLNMCEVD; GUA & GSA

  JOURNAL NAME: Open Journal of Geology, Vol.2 No.2, April 25, 2012

  ABSTRACT: The rainfall induced landslides and debris flows are the major disasters in China, as well in Europe, South America, Japan and Australia. This paper proposes a new type of joint probability prediction model—Double Layer Nested Multivariate Compound Extreme Value Distribution (DLNMCEVD) to predict landslides and debris flows triggered by rainfall. The outer layer of DLNMCEVD is predicting the joint probabilities of different combinations for rainfall characteristics, air temperature and humidity, which should be considered as external load factors with geological and geotechnical characteristics as resistance factors for reliability analysis of slope stability in the inner layer of model. For the reliability and consequence analysis of rainfall-induced slope failure, the Global Uncertainty Analysis and Global Sensitivity Analysis (GUA & GSA) should be taken into account for input-output iterations. Finally, based on the statistics prediction by DLNMCEVD, the geological hazards prevention alarm and regionalization can be provided in this paper.