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The core of ecorisQ is made of its members. By joining ecorisQ you will expand your professional network and profit from transparent tools in the field of natural hazard risks. Being an ecorisQ member demonstrates that you are willing to increase the transparancy and reproducibility of natural hazard analyses and that you promote sustainable protection against natural hazards.
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Changes in version 6.0 (December2024)
- Correction of cell corner problems that led to excessive velocities/energies
- Reintroduction of the friction and scaling function in the energy loss (rebound) calculation during ground impacts
- Introduction of the total kinetic energy correction based on the total apparent kinematic coefficient of restitution proposed by Noël et al. (2023)
- Introduction of the maximum rotation velocity based on Caviezel et al. (2021)
- Added the option “cliff area weighted” and "fixed" number of simulated trajectories from each start cell
- Added the option rapid automatic simulation with low and medium roughness
- Added new options in the command line version
- Corrected errors in the tree impact detection
- Adapted the function that controls energy loss due to the impact height on the tree stem
- Corrected errors in the net impact detection
Changes in version 5.2 (March 2016)
- Adapted the class values of the energy and passing height output rasters
- Added the output raster Propag_probability.asc
Changes in version 5.2 (January 2015)
- Revision of the Graphical User Interface – adding user-friendly simulation options
Changes in version 5.1 (September 2012)
- Added E_50.asc, E_90.asc, E_95.asc, E_98.asc, E_99.asc, Ph_50.asc, Ph_90.asc, Ph_95.asc, Ph_98.asc, Ph_99.asc as output
Changes in version 5.0 (January - March 2012)
- Changed the Rn value for asphalt roads
- Adapted the rolling/small rebounds condition for blocks moving upslope
- treefile.txt cannot contain a header
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We proudly present our new software for detecting trees in high resolution surface data, called FINT (Find INdividual Trees). The software is freely downloadable for all members from the tools section of our website. The tool FINT extracts positions of dominant and co-dominant trees from high resolution surface models (e.g., from LiDAR data) of forests. Since most users have access to raster data used in standard Geographical Information Systems (GIS) instead of 3D point data, FINT is based on the identification of local maxima in raster data. The principal aim of FINT is to obtain a realistic forest structure in the sense that the positions of the largest trees and the locations of the main gaps and couloirs in the forests are recorded and subsequently integrated in natural hazard process simulation models. FINT can be too imprecise for silvicultural analyses (e.g, estimation of stand density, basal area and standing volume), especially for broadleaved and mixed forests. An important variable determining the precision of the outcomes is the resolution of the input data. Therefore, a minimal resolution of 1 x 1 m is recommended. More information can be found here.
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After deveral days of continuous rainfall, three train wagons of the Rhätische Bahn have been derailed by a shallow landslide on 13 August 2014, in the canton of Grisons (Switzerland). Luckily, as was the case with the train the pignes in France, the most critical wagon was retained by trees downslope, instead of falling 60 meters down into the ravine. Nevertheless, the landslide caused 1 casualty and several injured persons.
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We would like to focus your attention on the International conference on "Analysis and Management of Changing Risks for Natural Hazards". It will take place on 18-19 November 2014 in Padua, Italy. The focus of the conference focus is on:
- technical sessions presenting the state of the art research in the understanding of the natural processes and in the development of innovative methodologies for quantitative hazard and risk forecasts
- practical integration of natural, engineering, economical and human sciences within multi-scale methodologies for risk management and prevention planning
The conference provides an opportunity to discuss multi-hazard risks and multi-disciplinary research results on the effects of changing of hydro-meteorological risks and their effects on planning strategies. Here you can find more information.
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On February 8th, 2014, a direct impact of a rockfall on the touristic train de pignes in the southern part of France (Alpes-de-Haute-Provence, ) caused two casualties and one injured person. The two train wagons were derailed by the impact and subsequently retained by trees downslope. More information can be found here (in French).
