Publication:
Probabilistic landslide risk assessment: Case study of Bujumbura

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2018-12-14

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EDP Sciences

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Shirambere, G., Nyadawa, M. O., Masekanya, J. pierre, & Nyomboi, T. (2018). Probabilistic landslide risk assessment: Case study of Bujumbura. EDP Sciences. https://repository.nrf.go.ke/handle/123456789/311

Abstract

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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Pan African University

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https://doi.org/10.1051/matecconf/201825106011
 https://repository.nrf.go.ke/handle/123456789/311

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Sustainable Land Management

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