MATEC Web Conf.
Volume 251, 2018VI International Scientific Conference “Integration, Partnership and Innovation in Construction Science and Education” (IPICSE-2018)
|Number of page(s)||7|
|Section||Risk Management in Construction|
|Published online||14 December 2018|
Probabilistic landslide risk assessment: Case study of Bujumbura
Institute for Basic Sciences Technology and Innovation, Pan African University, Kenya
2 Jaramogi Oginga University of Science and Technology, Bondo, Kenya
3 Université du Burundi, Burundi
4 Moi University, Kenya
* Corresponding author: firstname.lastname@example.org
A spatial probabilistic landslide risk assessment and mapping model has been applied in a data scare region. The probabilistic model is based on a physical model based on Mohr coulomb failure criterion. A Monte Carlo simulation technique is applied to field collected data. The results are integrated and a probability of landslide is obtained at each cell level. The results are compared to a prepared landslide inventory. The overall accuracy of the model is 79.69%.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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