| 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 | 2021-04-12T05:49:39Z | |
| dc.date.available | 2021-04-12T05:49:39Z | |
| dc.date.issued | 2018-08 | |
| dc.identifier.issn | 2248-9622 | |
| dc.identifier.uri | http://ir.jooust.ac.ke:8080/xmlui/handle/123456789/9417 | |
| dc.description.abstract | Several landslides incidents in the Bujumbura region are reported regularly by independent sources. However,
few studies on the causes in the region have been conducted and no record of susceptibility map at a regional
exists. In this study, two different approaches are applied to map landslide susceptibility in the region. The
physical approach is based on mohr-coulomb failure criterion and is applied using a probabilistic approach, the
first order second moment method. The statistical approach is based on logistic regression. The study has two
objectives: (i) to map landslide susceptibility in the region and (ii) to compare the results of the different
approaches. Applying the two approaches in a GIS framework, two susceptibility map are produced. The
accuracy of the two models is independently assessed using ROC and AUC curves. A comparative analysis of
the results is conducted and the results shows a fair spatial correlation. The susceptibility maps are compared
using rank differences and ArcSDM and a spatial comparison map of susceptibility levels is produced. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Journal of Engineering Research and Application | en_US |
| dc.subject | Shallow landslide | en_US |
| dc.subject | FOSM | en_US |
| dc.subject | Logistic regression | en_US |
| dc.subject | Bujumbura | en_US |
| dc.title | Comparative assessment of landslide susceptibility by logistic regression and first order second moment method: Case study of Bujumbura Peri-Urban Area, Burundi. | en_US |
| dc.type | Article | en_US |
