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Probabilistic landslide risk assessment: Case study of Bujumbura

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dc.contributor.authorShirambere, Gervais
dc.contributor.authorNyadawa, Maurice O.
dc.contributor.authorMasekanya, Jean pierre
dc.contributor.authorNyomboi, Timothy
dc.date.accessioned2024-01-19T12:34:04Z
dc.date.available2024-01-19T12:34:04Z
dc.date.issued2018-12-14
dc.description.abstractA 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%.
dc.description.sponsorshipN/A
dc.identifier.urihttps://doi.org/10.1051/matecconf/201825106011
dc.identifier.urihttps://repository.nrf.go.ke/handle/123456789/311
dc.language.isoen
dc.publisherEDP Sciences
dc.subjectPan African University
dc.titleProbabilistic landslide risk assessment: Case study of Bujumbura
dc.typeArticle
dspace.entity.typePublication

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Sustainable Land Management