Effect of Soil Geomechanical Properties and Geo-Environmental Factors on Landslide Predisposition at Mount Oku, Cameroon
| Autor: | Christian Suh Guedjeo, Wamba Danny Love Djukem, Anika Braun, Armand Sylvain Ludovic Wouatong, Pierre Wotchoko, Hans-Balder Havenith, Tomas M. Fernandez-Steeger, Katrin Dohmen |
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| Rok vydání: | 2020 |
| Předmět: |
010504 meteorology & atmospheric sciences
Soil test Health Toxicology and Mutagenesis Site selection lcsh:Medicine Poison control Soil science 010502 geochemistry & geophysics 01 natural sciences Article soil geomechanical properties Soil symbols.namesake Geomechanics ddc:551 Cameroon landslide susceptibility disaster prevention pearson correlation coefficient 0105 earth and related environmental sciences geo-environmental factors lcsh:R Public Health Environmental and Occupational Health Landslide Field (geography) Pearson product-moment correlation coefficient Soil water Geographic Information Systems symbols receiver operator characteristic (ROC) curve Landslides Geology statistical index information value method fuzzy membership |
| Zdroj: | International Journal of Environmental Research and Public Health, Vol 17, Iss 6795, p 6795 (2020) International Journal of Environmental Research and Public Health Volume 17 Issue 18 |
| ISSN: | 1660-4601 |
| DOI: | 10.3390/ijerph17186795 |
| Popis: | In 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. |
| Databáze: | OpenAIRE |
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