Journal of Geosciences and Geomatics
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Journal of Geosciences and Geomatics. 2017, 5(4), 173-185
DOI: 10.12691/jgg-5-4-2
Open AccessArticle

Landslide Susceptibility Mapping and Risk Assessment on the Bamenda Mountain (Cameroon Volcanic Line)

Guedjeo C. S1, 2, , Kagou Dongmo A.1, Wotchoko P.2, Nkouathio D. G.1, Chenyi M. L.1, Wilson Buma G1 and Kamgang K. V1

1Department of Earth Sciences, Faculty of Sciences, University of Dschang, Dschang, Cameroon

2Department of Geology, Higher Teacher’s Training College, University of Bamenda, Bambili, Cameroon

Pub. Date: August 01, 2017

Cite this paper:
Guedjeo C. S, Kagou Dongmo A., Wotchoko P., Nkouathio D. G., Chenyi M. L., Wilson Buma G and Kamgang K. V. Landslide Susceptibility Mapping and Risk Assessment on the Bamenda Mountain (Cameroon Volcanic Line). Journal of Geosciences and Geomatics. 2017; 5(4):173-185. doi: 10.12691/jgg-5-4-2

Abstract

The Bamenda Mountain (with over 250,000 inhabitants) is one of the strato-volcanoes along the Cameroon Volcanic Line (CVL) with an accidental landscape. This area is frequently affected by landslides, which most at times result in destruction of property and loss of lives. An informative value statistical method using GIS is use to prepared a landslide susceptibility map for the Bamenda Mountain area as well as a quantitative and qualitative risk assessment. This is aimed at revealing areas where future landslide would occur and potential loss. Nine landslide controlling factors including; slope, slope orientation (aspect), curvature, stream density, proximity to roads, geomorphology, proximity to streams, geology and land use were use in the model. A total of 64 slides were inventoried in the area and use to prepare the landslide density map. The weighted informative values for the combined factor and landslide density were used to prepare the landslide susceptibility map for the area. The most significant landslide causing factors in this area are; slope, stream density and slope aspect. The susceptibility map was classified into very high (17.8%), high (25.9%), moderate (33.6%) and low (22.7%). The validated model using the success rate curve indicates that the area under curve is 0.823 and predicts landslides at 82.3% in relatively high classes. Landslide risk assessment in the area indicates 406 buildings, 2,436 people, 1,291.1km of roads, 2152 ha of farmland and an approximate USD83,540,000 worth in assets are expose to high and very high risk. This approach can be implemented in other areas along the CVL to map and assess landslide risk.

Keywords:
Bamenda Mountain landslides informative value susceptibility map risk

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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