Landslide susceptibility mapping using GIS-based bivariate models in the Rif chain (northernmost Morocco)
- 18 July 2022
- journal article
- research article
- Published by Taylor & Francis Ltd in Geocarto International
- Vol. 37 (27), 15347-15377
- https://doi.org/10.1080/10106049.2022.2097322
Abstract
The coastline between Tetouan and Bou Ahmed in the northernmost Rif of Morocco and its hinterland has become immensely hazardous due to frequent triggering of diversified landslides from last two decades. This paper describes the potential application of a set of multisource data and the GIS platform for zoning and identifying anomalous areas prone to landsliding and its associated landslide hazards. For this purpose, Information value (IV), Statistical index SI (Wi), Weighting factors (WF) and Evidential belief function (EBF) models have been used in this study. Eleven conditioning factors such as elevation, slope, aspect, curvature, shaded/relief, proximity to streams, proximity to faults, proximity to roads, land use, lithology, annual rainfall and an inventory of 905 unstable spots were used to develop the spatial database for landslides susceptibility mapping (LSM). The factors have been used after a test of multi-collinearity. The Receiver Operating Characteristic (ROC) curve and the Area Under the Curve (AUC) methods were used for validation of the LSM. The AUC results showed good prediction accuracy for all models with a prediction rate of 78% (IV), 77% (SI), 73% (WF) and 70% (EBF) respectively. However, the results indicated that comparatively, the IV model followed by WI model is more precise and accurate for landslides susceptibility mapping than other models. According to the presented models, about 64% of the study area is located in high to very high landslide susceptible zone. The findings presented in this study are imperatively valuable especially wherein large development projects and land use planning activities are going on.Keywords
This publication has 62 references indexed in Scilit:
- Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, IranCATENA, 2012
- Application of an evidential belief function model in landslide susceptibility mappingComputers & Geosciences, 2012
- Spatial analysis of mutual fault/fracture and slope controls on rocksliding in Darjeeling Himalaya, IndiaGeomorphology, 2010
- Manifestation of an advanced fuzzy logic model coupled with Geo-information techniques to landslide susceptibility mapping and their comparison with logistic regression modellingEnvironmental and Ecological Statistics, 2010
- A GIS-based back-propagation neural network model and its cross-application and validation for landslide susceptibility analysesComputers, Environment and Urban Systems, 2010
- GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): Comparisons of results and confirmationsCATENA, 2008
- Probability modelling of landslide hazardActa geographica Slovenica, 2007
- Landslide Hazard and Risk — Concluding Comment and PerspectivesPublished by Wiley ,2005
- Prediction of the occurrence of slope instability phenomenal through GIS-based hazard zonationInternational Journal of Earth Sciences, 1997
- Upper and Lower Probabilities Induced by a Multivalued MappingThe Annals of Mathematical Statistics, 1967