Probabilistic landslide risk assessment: Case study of Bujumbura
| dc.contributor.author | Shirambere, Gervais | |
| dc.contributor.author | Nyadawa, Maurice O. | |
| dc.contributor.author | Masekanya, Jean pierre | |
| dc.contributor.author | Nyomboi, Timothy | |
| dc.date.accessioned | 2021-04-12T05:37:38Z | |
| dc.date.available | 2021-04-12T05:37:38Z | |
| dc.date.issued | 2018 | |
| dc.identifier.uri | http://ir.jooust.ac.ke:8080/xmlui/handle/123456789/9415 | |
| dc.description.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%. | en_US |
| dc.language.iso | en | en_US |
| dc.title | Probabilistic landslide risk assessment: Case study of Bujumbura | en_US |
| dc.type | Article | en_US |
