Presentation is loading. Please wait.

Presentation is loading. Please wait.

Earthquake-induced Landslides Hazard zonation in Campania – application and implementation in ArcGIS SAFER Project - FINAL MEETING Elin Skurtveit & Amir.

Similar presentations


Presentation on theme: "Earthquake-induced Landslides Hazard zonation in Campania – application and implementation in ArcGIS SAFER Project - FINAL MEETING Elin Skurtveit & Amir."— Presentation transcript:

1 Earthquake-induced Landslides Hazard zonation in Campania – application and implementation in ArcGIS SAFER Project - FINAL MEETING Elin Skurtveit & Amir M. Kaynia - NGI

2 Initial objectives 1.Calibrate a landslide susceptibility model based on topographic and lithological properties of slope and combine it with a deterministic model based on: mechanical parameters of the soil geometrical properties of the slope characteristics of the earthquakes Validate the model through documented case histories and database of historical landslides. 2.Establish a GIS-based methodology to couple landslide model to Shake maps in order to produce real-time slide maps. 3.In cooperation with AMRA and using the shake maps generated in WP2, apply the seismic landslide susceptibility model to a study region in Campania, Italy. 4.Establish a model for pore pressure generation/dissipation under cyclic loading of earthquake and develop computational tool for post-earthquake landslides.

3 Outline of presentation 1.Empirical Slope Deformation Analysis 2.Verification of models for landslide prediction 3.Implementation of landslide prediction model in ArcGIS 4.Application of ArcGIS model to test site in Campania, Italy

4 Empirical Slope Deformation Analysis

5 Bray and Rathje (1998) Empirical Slope Deformation Analysis

6 Empirical model of landslide: 1. Establish Factor of safety against failure (H = depth to sliding, C = soils shear strength) 2. Calculate yield acceleration of slope: 3. Calculate slopes displacement (D 5-95 = significant duration, k max = peak ground acceleration in g):

7 Verification of model for landslide prediction Four Case histories of observed landslide or large slope displacements were used: 1.Landslide movement during Northridge Earthquake 2.Debris slump caused by Suusamyr Earthquake 3.Yokowatashi landslide during Niigata-Ken Chuetsu earthquake 4.Landslide movement during Coyote Lake Earthquake

8 Results of comparisons with case histories of landslides are encouraging and indicate a fairly good performance of the model. Verification of model (cont.) The model is also able to explain the upper bound of historical landslides, established by Keefer (1984), as function of distance and earthquake magnitude. This model is being implemented in a GIS for mapping of landslide zones

9 Application of ArcGIS Model to test site in Campania, Italy Study area – Campania Destra Sele River Basin Available data (provided by AMRA and INGV) Digital elevation model Geology Geotechnical parameters Shake Map Irpinia 1980 earthquake

10 Earthquake data Peak Ground Acceleration map from the Irpinia 1980 earthquake Provided by INGV

11 Geology of the Study area Fiorillo & Wilson, 2004

12 Implementation of landslide prediction model in ArcGIS The result of [Inlayer1] + [Inlayer2] / 2 results in an output grid displaying the mean value for every cell. Raster Calculation and Map Algebra functions. Example: Raster slope map calculated from Digital Elevation Model Cellsize: 40 m x 40 m

13 Implementation of landslide prediction model in ArcGIS ArcGIS Raster calculation model for factor of safety and the yield acceleration of the soil Input raster layers Geology & geotechnical parameters Geometry of slope

14 Implementation of landslide prediction model in ArcGIS Raster calculation model for soil displacement Input raster layers PGA Soil strength / safety factor Magnitude and distance Calculate slopes displacement, u: D 5-95 = significant duration, k max = peak ground acceleration in g

15 ArcGIS displacement map Slope Displacement in cm

16 Sliding Displacement Evaluation – Comparison with the Extended Models Reference Saygili and Rathje (2008) Bray and Travasarou (2007) Blake et. al. (2001)* GM ParametersPGA,MPGA,PGVPGAPGA, D 5-75 Min Displacement0 cm Max Displacement76 cm78 cm97cm171 cm cm99.44% 99.41%99.37% cm0.31%0.32%0.34%0.26% cm0.11%0.10%0.07%0.12% > 30 cm0.14%0.13%0.18%0.25%

17 Conclusions Verification of slope displacement model for landslide prediction using case histories. Application of landslide prediction model to test site in Italy. Results shows how a GIS-based method can be implemented for near real-time prediction and mapping of landslides. Results from various recent slope deformation models compare very well with the California Model used in this study.


Download ppt "Earthquake-induced Landslides Hazard zonation in Campania – application and implementation in ArcGIS SAFER Project - FINAL MEETING Elin Skurtveit & Amir."

Similar presentations


Ads by Google