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Sea Cliff Instability Susceptibility at Regional Scale: a Statistically Based Assessment in Southern Algarve, Portugal : Volume 1, Issue 3 (17/05/2013)

By Marques, F. M. S. F.

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Book Id: WPLBN0004018907
Format Type: PDF Article :
File Size: Pages 39
Reproduction Date: 2015

Title: Sea Cliff Instability Susceptibility at Regional Scale: a Statistically Based Assessment in Southern Algarve, Portugal : Volume 1, Issue 3 (17/05/2013)  
Author: Marques, F. M. S. F.
Volume: Vol. 1, Issue 3
Language: English
Subject: Science, Natural, Hazards
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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S. F. Marque, F. M., Redweik, P., & Matildes, R. (2013). Sea Cliff Instability Susceptibility at Regional Scale: a Statistically Based Assessment in Southern Algarve, Portugal : Volume 1, Issue 3 (17/05/2013). Retrieved from

Description: University of Lisbon, Faculty of Sciences, Centre of Geology and Department of Geology, Lisbon, Portugal. Mass movements of different types and sizes are the main processes of sea cliff evolution and also a considerable source of natural hazard, making its assessment a relevant issue in terms of human losses prevention and land use regulations.

To address the assessment of the spatial component of sea cliff hazard, i.e. the susceptibility, a statistically based study was made to assess the capacity of a set of conditioning factors to express the occurrence of sea cliff failures affecting areas located along their top.

The study was based on the application of the bivariate Information Value and multivariate Logistic regression statistical methods, using a set of predisposing factors for cliff failures, mainly related with geology (lithology, bedding dip, faults) and geomorphology (maximum and mean slope, height, aspect, plan curvature, toe protection) which were correlated with a photogrammetry based inventory of cliff failures occurred in a 60 yr period (1947–2007). The susceptibility models were validated against the inventory data using standard success rate and ROC curves, and provided encouraging results, indicating that the proposed approaches are effective for susceptibility assessment. The results obtained also stress the need for improvement of the predisposing factors to be used in this type of studies and the need of detailed and systematic cliff failures inventories.

Sea cliff instability susceptibility at regional scale: a statistically based assessment in southern Algarve, Portugal

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