Effect of Soil Geomechanical Properties and Geo-Environmental Factors on Landslide Predisposition at Mount Oku, Cameroon

dc.contributor.authorDjukem, Wamba Danny Love
dc.contributor.authorBraun, Anika
dc.contributor.authorWouatong, Armand Sylvain Ludovic
dc.contributor.authorGuedjeo, Christian
dc.contributor.authorDohmen, Katrin
dc.contributor.authorWotchoko, Pierre
dc.contributor.authorFernandez-Steeger, Tomas Manuel
dc.contributor.authorHavenith, Hans-Balder
dc.date.accessioned2020-11-05T10:31:01Z
dc.date.available2020-11-05T10:31:01Z
dc.date.issued2020-09-17
dc.date.updated2020-10-08T03:25:59Z
dc.description.abstractIn this work, we explored a novel approach to integrate both geo-environmental and soil geomechanical parameters in a landslide susceptibility model. A total of 179 shallow to deep landslides were identified using Google Earth images and field observations. Moreover, soil geomechanical properties of 11 representative soil samples were analyzed. The relationship between soil properties was evaluated using the Pearson correlation coefficient and geotechnical diagrams. Membership values were assigned to each soil property class, using the fuzzy membership method. The information value method allowed computing the weight value of geo-environmental factor classes. From the soil geomechanical membership values and the geo-environmental factor weights, three landslide predisposition models were produced, two separate models and one combined model. The results of the soil testing allowed classifying the soils in the study area as highly plastic clays, with high water content, swelling, and shrinkage potential. Some geo-environmental factor classes revealed their landslide prediction ability by displaying high weight values. While the model with only soil properties tended to underrate unstable and stable areas, the model combining soil properties and geo-environmental factors allowed a more precise identification of stability conditions. The geo-environmental factors model and the model combining geo-environmental factors and soil properties displayed predictive powers of 80 and 93%, respectively. It can be concluded that the spatial analysis of soil geomechanical properties can play a major role in the detection of landslide prone areas, which is of great interest for site selection and planning with respect to sustainable development at Mount Oku.en
dc.identifier.eissn1660-4601
dc.identifier.issn1661-7827
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/11836
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-10726
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subject.ddc551 Geologie, Hydrologie, Meteorologiede
dc.subject.othersoil geomechanical propertiesen
dc.subject.othergeo-environmental factorsen
dc.subject.otherpearson correlation coefficienten
dc.subject.otherstatistical index information value methoden
dc.subject.otherfuzzy membershipen
dc.subject.otherreceiver operator characteristic curveen
dc.subject.otherlandslide susceptibilityen
dc.subject.otherdisaster preventionen
dc.subject.otherROC curveen
dc.titleEffect of Soil Geomechanical Properties and Geo-Environmental Factors on Landslide Predisposition at Mount Oku, Cameroonen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.articlenumber6795en
dcterms.bibliographicCitation.doi10.3390/ijerph17186795en
dcterms.bibliographicCitation.issue18en
dcterms.bibliographicCitation.journaltitleInternational Journal of Environmental Research and Public Healthen
dcterms.bibliographicCitation.originalpublishernameMDPIen
dcterms.bibliographicCitation.originalpublisherplaceBaselen
dcterms.bibliographicCitation.volume17en
tub.accessrights.dnbfreeen
tub.affiliationFak. 6 Planen Bauen Umwelt::Inst. Angewandte Geowissenschaften::FG Ingenieurgeologiede
tub.affiliation.facultyFak. 6 Planen Bauen Umweltde
tub.affiliation.groupFG Ingenieurgeologiede
tub.affiliation.instituteInst. Angewandte Geowissenschaftende
tub.publisher.universityorinstitutionTechnische Universität Berlinen

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