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Probabilistic landslide risk assessment: Case study of Bujumbura

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Shirambere_Probabilistic_landslide_risk_assessment_Case_study.pdf (605.8Kb)
Publication Date
2018
Author
Shirambere, Gervais
Nyadawa, Maurice O.
Masekanya, Jean pierre
Nyomboi, Timothy
Type
Article
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Abstract/Overview

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%.

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http://ir.jooust.ac.ke:8080/xmlui/handle/123456789/9415
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