Probabilistic landslide risk assessment: Case study of Bujumbura

Probabilistic landslide risk assessment: Case study of Bujumbura

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...

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Main Authors: Shirambere Gervais, Nyadawa Maurice O., Masekanya Jean pierre, Nyomboi Timothy
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201825106011
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spelling doaj-04f9aee1047a4fb8a3ee50d847a7bde92021-02-02T00:20:25ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012510601110.1051/matecconf/201825106011matecconf_ipicse2018_06011Probabilistic landslide risk assessment: Case study of BujumburaShirambere Gervais0Nyadawa Maurice O.1Masekanya Jean pierre2Nyomboi Timothy3Institute for Basic Sciences Technology and Innovation, Pan African UniversityJaramogi Oginga University of Science and TechnologyUniversité du BurundiMoi UniversityA 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%.https://doi.org/10.1051/matecconf/201825106011
collection DOAJ
language English
format Article
sources DOAJ
author Shirambere Gervais
Nyadawa Maurice O.
Masekanya Jean pierre
Nyomboi Timothy
spellingShingle Shirambere Gervais
Nyadawa Maurice O.
Masekanya Jean pierre
Nyomboi Timothy
Probabilistic landslide risk assessment: Case study of Bujumbura
MATEC Web of Conferences
author_facet Shirambere Gervais
Nyadawa Maurice O.
Masekanya Jean pierre
Nyomboi Timothy
author_sort Shirambere Gervais
title Probabilistic landslide risk assessment: Case study of Bujumbura
title_short Probabilistic landslide risk assessment: Case study of Bujumbura
title_full Probabilistic landslide risk assessment: Case study of Bujumbura
title_fullStr Probabilistic landslide risk assessment: Case study of Bujumbura
title_full_unstemmed Probabilistic landslide risk assessment: Case study of Bujumbura
title_sort probabilistic landslide risk assessment: case study of bujumbura
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description 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%.
url https://doi.org/10.1051/matecconf/201825106011
work_keys_str_mv AT shiramberegervais probabilisticlandslideriskassessmentcasestudyofbujumbura
AT nyadawamauriceo probabilisticlandslideriskassessmentcasestudyofbujumbura
AT masekanyajeanpierre probabilisticlandslideriskassessmentcasestudyofbujumbura
AT nyomboitimothy probabilisticlandslideriskassessmentcasestudyofbujumbura
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