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 Research

Risk assessment for geohazards

Seismic hazard, risk and loss

Stability of rock slopes

Geomechanical modelling

Offshore geohazards

Slope instability assessment and hazard zonation

Slide dynamics

Tsunamis

Monitoring, remote sensing and early warning systems

Geophysics for geohazards

Application of GIT to geohazards

Mitigation and risk

GeoExtreme     
 

 News

Simulations of the Samoa tsunami 2009

IYPE projects related to ICG

www.snoskred.no
Norwegian snow avalanche website

2nd ICG Phd seminar
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Positive midway evaluation of ICG
 

 IGCP 511

Submarine Mass Movements and Their Consequences
 

 Conferences

4th International Symposium
on Submarine Mass Movements and Their Consequences,
Austin Texas, 2009

EGU 2009

OTC Geohazard Session
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 Reports

Debris flow and river flooding 23 Aug 2005 in Paznauner Valley, Tirol, Austria

BAM Earthquake of 26th of December 2004

ECI Conference: Geohazards - Technical, Economical and Social Risk Evaluation

2nd International conference on Submarine Mass Movement and Their Consequences 2005

International Workshop 27th of September 2004 - Natural Disaster Hotspot

 

 ICG Partners







 
Project 2: Risk assessment for geohazards
Project Manager:
Unni Eidsvig (NGI)

Subproject 3: Hazard zonation, vulnerability and losses

Two studies are presented within this subproject:

  • Quantitative Estimation of Regional-Scale Vulnerability to Landslides
  • Hazard zonation in Møre og Romsdal

Quantitative Estimation of Regional-Scale Vulnerability to Landslides

A methodology for scenario-based, quantitative estimation of regional-scale vulnerability is proposed. The vulnerability model parameterises the severity of landslide action (landslide intensity) and the capacity of vulnerable elements to withstand an action of a given degree of severity (susceptibility of vulnerable elements) is proposed here:

V = I · S                                                                                                                                

in which V indicates vulnerability; I indicates landslide intensity and S indicates the susceptibility of elements at risk.

Susceptibility refers to the lack of inherent capacity of the elements in the spatial extension under investigation to preserve their physical integrity and functionality in the course of the physical interaction with a generic sliding mass. The susceptibility defined herein is independent of the characteristics of the acting agent, i.e. the landslide.

The susceptibility S of any category of elements at risk ranges from 0 (no susceptibility) to 1 (maximum susceptibility). A general susceptibility model is proposed:

                                            

                                                                   

in which ξi is the i-th of ns susceptibility factors (each defined in the range [0,1]) contributing to the category susceptibility. Such factors are category-dependent, and may be defined on the basis of existing literature or by other criteria set by the user. Tentative models for the calculation of the susceptibility for a number of categories of elements at risk are proposed i.e. susceptibility of buildings and susceptibility of persons. The quantification of susceptibility of persons includes: Susceptibility of persons in open spaces and vehicles (considering population density, income and age) and Susceptibility of persons in structures.

Figure 1 Susceptibility model for persons in structures, (SSTR = susceptibility of structures, SPST = susceptibility for persons in structures)

Landslide intensity

Hungr (1997) concisely and effectively defined landslide intensity as “a set of spatially distributed parameters describing the destructiveness of a landslide”. While such qualitative definition of intensity can be readily accepted, a univocal quantitative definition is not available at present. Landslide intensity has been addressed and defined quantitatively using a variety of parameters. Hungr (1997) reports use of maximum velocity, total displacement, differential displacement (relative to points adjacent to the point under consideration), depth of the moving mass, depth of deposits after the movement ceases, depth of erosion, unit discharge, kinetic energy per unit area, maximum thrust, impact pressure, maximum normal or shear strain at or below ground surface.

A composite landslide intensity parameter, accounting for kinetic and kinematic characteristics of the interaction between the sliding mass and the reference area is proposed.

Kinetic characteristics are related to the kinetic energy of the sliding mass, i.e. to the damage caused by impact on the vulnerable elements. Kinematic intensity accounts for the effects of size-linked features of a reference landslide. The damage caused by a slow-moving landslide on a building is mainly due to the displacement (i.e. kinematic parameter), while kinetic characteristics could be predominant in case of a rapid movement. 

Any kinetic intensity parameter may be defined by the user provided it is defined in the range [0,1] with unit values indicating maximum intensity. Models for kinetic intensity (as function of landslide velocity) and kinematic intensity (as functions of displacements) are proposed. 

Figure 2 Proposed kinetic intensity function

 

Hazard zonation in Møre og Romsdal

The purpose of this study is to apply the grid based GIS techniques for Landslide Susceptibility Mapping to the Romsdal region (Norway). The scope includes the preparation of Landslide Susceptibility map and, the comparison of the Landslide Susceptibility map with the previously occurred landslide points.

Figure 3 Study region

 Here susceptibility expresses the likelihood that a landslide will occur in an area on the basis of the local terrain conditions. Return period or annual probability of occurrence is not considered. The main difference between susceptibility and hazard is therefore that the latter considers the temporal factor, by estimating the probability of occurrence of the phenomenon within a specified period of time.

Method of study
An empirical approach was used to map and evaluate landslide susceptibility. In this approach a grid based Geographic information system (GIS) was used to construct a landslide hazard map for east part of Norway Romsdal region. Five layers of data with 30 × 30 m resolution grid were superimposed to create the landslide susceptibility map. Slope was given the most emphasis, followed by, topological index, density of vegetation, density of lineament and proximity to road networks. A numerical rating system was applied and each of the five factors was grouped into three categories, and each category was assigned a value between 1 and 3, with 1 being least susceptible and 3 most susceptible to landslides.
Text Box:  
Text Box: ContourMap
Text Box: Landsat ETM
Text Box: Dem
Text Box: Lineament Map
Text Box: Road Map
Text Box: Slop
Text Box: Topological Wetness Index
Text Box: Vegetation Index (NDVI)
Text Box: Input Data
Text Box: Processed Data
Text Box: Rating & Reclassify
Slop
Text Box: Rating & Reclassify
TWI
Text Box: Rating & Reclassify
Linement
Text Box: Rating & Reclassify NDVI
Text Box: Rating & Reclassify
Road
Text Box: Weight  & Combine
Susceptibility Map
Text Box: Final Map
Text Box: Accuracy Assesment
 

 

 

 

 

 

 

 

 


 

        

 

 

 

 

 

 

 

Figure 4 The method of the study

map3tumalan

Figure 5 Example of resulting susceptibility map. Previous landslides are with red dots.

The picture above shows a resulting susceptibility map. Comparison with previous landslides shows that most of the previous landslides (70% - 95%) are within the high or medium susceptible areas.

 

 

International Centre for Geohazards (ICG), PoBox 3930 Ullevaal Stadion, N-0806 Oslo, Norway. Phone: +47-22023000, fax: +47-22230448