Comparative assessment of landslide susceptibility by logistic regression and first order second moment method: Case study of Bujumbura Peri-Urban Area, Burundi.

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Date
2018-08-24
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Journal of Engineering Research and Application
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.
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Gervais Shirambere "Comparative assessment of landslide susceptibility by logistic regression and first order second moment method: Case study of Bujumbura Peri-Urban Area, Burundi. "International Journal of Engineering Research and Applications (IJERA) , vol. 8, no.8, 2018, pp 28-37