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Published in: Environmental Earth Sciences 7/2014

01-04-2014 | Original Article

An empirical approach for evaluation of the potential of debris flow occurrence in mountainous areas

Authors: Fu-gang Xu, Xing-guo Yang, Jia-wen Zhou

Published in: Environmental Earth Sciences | Issue 7/2014

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Abstract

Debris flows can occur relatively suddenly and quickly in mountainous areas, resulting in major structural damage and loss of life. The establishment of a model to evaluate the occurrence probability of debris flows in mountainous areas is therefore of great value. The influence factors of debris flows are very complex; they can basically be divided into background factors and triggering factors. Background factors include the mechanical characteristics of geo-materials, topography and landscape, and soil vegetation; and triggering factors include hydrological and rainfall conditions, and human activities. By assessing the dynamic characteristics of debris flows in mountainous areas, some important influence factors are selected here for analysis of their impacts on the occurrence probability of debris flow. A mathematical model for evaluation of the occurrence probability of debris flows is presented and combined with probability analysis. Matlab software is used for the numerical implementation of the forecasting model, and the influences of rainfall, lithology and terrain conditions on the occurrence probability of debris flows are analyzed. Finally, the presented model is applied to forecast the occurrence probability of debris flows in the mountainous area around Qingping Town; the simulation results show that many loose landslide deposits and heavy rainfall are the key factors likely to trigger debris flows in this region.

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Metadata
Title
An empirical approach for evaluation of the potential of debris flow occurrence in mountainous areas
Authors
Fu-gang Xu
Xing-guo Yang
Jia-wen Zhou
Publication date
01-04-2014
Publisher
Springer Berlin Heidelberg
Published in
Environmental Earth Sciences / Issue 7/2014
Print ISSN: 1866-6280
Electronic ISSN: 1866-6299
DOI
https://doi.org/10.1007/s12665-013-2667-6

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