| Issue |
MATEC Web Conf.
Volume 251, 2018
VI International Scientific Conference “Integration, Partnership and Innovation in Construction Science and Education” (IPICSE-2018)
|
|
|---|---|---|
| Article Number | 06011 | |
| Number of page(s) | 7 | |
| Section | Risk Management in Construction | |
| DOI | https://doi.org/10.1051/matecconf/201825106011 | |
| Published online | 14 December 2018 | |
Probabilistic landslide risk assessment: Case study of Bujumbura
1
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: shiramberegervais@gmail.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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.