Tier-based approaches for landslide susceptibility assessment in Europe

In the framework of the European Soil Thematic Strategy and the associated proposal of a Framework Directive on the protection and sustainable use of soil, landslides were recognised as a soil threat requiring specific strategies for priority area identification, spatial hazard assessment and management. This contribution outlines the general specifications for nested, Tier-based geographical landslide zonings at small spatial scales to identify priority areas susceptible to landslides (Tier 1) and to perform quantitative susceptibility evaluations within these (Tier 2). A heuristic, synoptic-scale Tier 1 assessment exploiting a reduced set of geoenvironmental factors derived from common pan-European data sources is proposed for the European Union and adjacent countries. Evaluation of the susceptibility estimate with national-level landslide inventory data suggests that a zonation of Europe according to, e.g. morphology and climate, and performing separate susceptibility assessments per zone could give more reliable results. To improve the Tier 1 assessment, a geomorphological terrain zoning and landslide typology differentiation are then applied for France. A multivariate landslide susceptibility assessment using additional information on landslide conditioning and triggering factors, together with a historical catalogue of landslides, is proposed for Tier 2 analysis. An approach is tested for priority areas in Italy using small administrative mapping units, allowing for relating socioeconomic census data with landslide susceptibility, which is mandatory for decision making regarding the adoption of landslide prevention and mitigation measures. The paper concludes with recommendations on further work to harmonise European landslide susceptibility assessments in the context of the European Soil Thematic Strategy.

[1]  Javier Hervás,et al.  State of the art of national landslide databases in Europe and their potential for assessing landslide susceptibility, hazard and risk , 2012 .

[2]  G. Jenks The Data Model Concept in Statistical Mapping , 1967 .

[3]  R. Fisher THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .

[4]  Rui Liu,et al.  GIS-based landslide susceptibility mapping using analytical hierarchy process in Wenchuan , 2013, 2013 21st International Conference on Geoinformatics.

[5]  Matthias Ehrgott,et al.  Multiple criteria decision analysis: state of the art surveys , 2005 .

[6]  P. Gessler,et al.  An heuristic approach for mapping landslide hazard by integrating fuzzy logic with analytic hierarchy process , 2006 .

[7]  D. Varnes SLOPE MOVEMENT TYPES AND PROCESSES , 1978 .

[8]  L. Ayalew,et al.  Landslide susceptibility mapping using GIS-based weighted linear combination, the case in Tsugawa area of Agano River, Niigata Prefecture, Japan , 2004 .

[9]  C. J. Westen,et al.  Qualitative landslide susceptibility assessment by multicriteria analysis: A case study from San Antonio del Sur, Guantánamo, Cuba , 2008 .

[10]  Hervas De Diego Francisco,et al.  Landslide Susceptibility Mapping at 1:1 M Scale over France: Exploratory Results with a Heuristic Model , 2009 .

[11]  Charles E. Brown Applied Multivariate Statistics in Geohydrology and Related Sciences , 1998 .

[12]  Tom Fawcett,et al.  An introduction to ROC analysis , 2006, Pattern Recognit. Lett..

[13]  L. Montanarella,et al.  European Soil Data Centre: Response to European policy support and public data requirements , 2012 .

[14]  W. Z. Savage,et al.  Guidelines for landslide susceptibility, hazard and risk zoning for land-use planning , 2008 .

[15]  R. Soeters,et al.  Landslide hazard and risk zonation—why is it still so difficult? , 2006 .

[16]  J. Voogd,et al.  Multicriteria evaluation for urban and regional planning , 1982 .

[17]  Panos Panagos,et al.  Guidelines for Mapping Areas at Risk of Landslides in Europe , 2007 .

[18]  M. Schuler,et al.  Mountain Areas in Europe : Analysis of mountain areas in EU member states, acceding and other European countries , 2004 .

[19]  Alberto González,et al.  Validation of Landslide Susceptibility Maps; Examples and Applications from a Case Study in Northern Spain , 2003 .

[20]  C. Metz Basic principles of ROC analysis. , 1978, Seminars in nuclear medicine.

[21]  N. Graham,et al.  Areas beneath the relative operating characteristics (ROC) and relative operating levels (ROL) curves: Statistical significance and interpretation , 2002 .

[22]  Fausto Guzzetti,et al.  New Developments in Harmonized Landslide Susceptibility Mapping over Europe in the Framework of the European Soil Thematic Strategy , 2013 .

[23]  P. Peduzzi,et al.  Global landslide and avalanche hotspots , 2006 .

[24]  Yang Hong,et al.  Use of satellite remote sensing data in the mapping of global landslide susceptibility , 2007 .

[25]  P. Reichenbach,et al.  Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy , 1999 .

[26]  David J. Spiegelhalter,et al.  Machine Learning, Neural and Statistical Classification , 2009 .

[27]  Farrokh Nadim,et al.  Statistical modelling of Europe-wide landslide susceptibility using limited landslide inventory data , 2012, Landslides.

[28]  C. Willmott,et al.  A More Rational Climatic Moisture Index , 1992 .

[29]  Yang Hong,et al.  Evaluation of a preliminary satellite-based landslide hazard algorithm using global landslide inventories , 2009 .

[30]  Fausto Guzzetti,et al.  Information system on hydrological and geomorphological catastrophes in Italy (SICI): a tool for managing landslide and flood hazards , 2004 .

[31]  Kristine Asch,et al.  The 1:5 Million International Geological Map of Europe and - Adjacent Areas , 2003 .

[32]  R. Fell Landslide risk assessment and acceptable risk , 1994 .

[33]  C. Foster,et al.  The new National Landslide Database and Landslide Hazard Assessment of Great Britain , 2008 .

[34]  Jean-Philippe Malet,et al.  Integrating Spatial Multi-criteria Evaluation and Expert Knowledge for Country-Scale Landslide Susceptibility Analysis: Application to France , 2013 .

[35]  A. Yalçın GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): Comparisons of results and confirmations , 2008 .

[36]  E. Mark Lee,et al.  Landslide Risk Assessment , 2023 .

[37]  W. Vahrson,et al.  Macrozonation Methodology for Landslide Hazard Determination , 1994 .

[38]  Luis G. Vargas,et al.  Comparison of eigenvalue, logarithmic least squares and least squares methods in estimating ratios , 1984 .

[39]  S. L. Kuriakose,et al.  Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview , 2008 .

[40]  P. Reichenbach,et al.  Towards a definition of topographic divisions for Italy , 1994 .

[41]  Fausto Guzzetti,et al.  The AVI project: A bibliographical and archive inventory of landslides and floods in Italy , 1994 .

[42]  P. Reichenbach,et al.  Estimating the quality of landslide susceptibility models , 2006 .

[43]  C. Foster,et al.  Mapping a Nation’s Landslides: A Novel Multi-Stage Methodology , 2013 .

[44]  Approaches for Delineating Areas Susceptible to Landslides in the Framework of the European Soil Thematic Strategy , 2008 .

[45]  Veronica Tofani,et al.  Identification of landslide hazard and risk ‘hotspots’ in Europe , 2013, Bulletin of Engineering Geology and the Environment.

[46]  José I. Barredo,et al.  Comparing heuristic landslide hazard assessment techniques using GIS in the Tirajana basin, Gran Canaria Island, Spain , 2000 .

[47]  E. E. Brabb Innovative approaches to landslide hazard and risk mapping , 1985 .

[48]  Andrea G. Fabbri,et al.  Validation of Spatial Prediction Models for Landslide Hazard Mapping , 2003 .

[49]  Daniele Spizzichino,et al.  Quality assessment of the Italian Landslide Inventory using GIS processing , 2010 .