landslidemodels.org Report : Visit Site


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    The main IP address: 212.204.60.1,Your server Germany,Potsdam ISP:Bytecamp hosting network  TLD:org CountryCode:DE

    The description :landslidemodels.org is a platform for the testers of the open source applications r.avaflow, r.randomwalk, r.slope.stability, and r.ranger to exchange their experiences and to discuss the challenges t...

    This report updates in 03-Aug-2018

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landslidemodels.org spatial simulation of landslide processes landslidemodels.org spatial simulation of landslide processes forum forum at landslidemodels.org software projects r.avaflow r.randomwalk r.slope.stability external links mergili.at engage, university of vienna applied geology, boku university geography, university of innsbruck open source applications for the spatial simulation of landslide susceptibility and processes visualization of the flow height evolution of the prehistoric acheron rock avalanche in new zealand, modelled with r.avaflow. computer models can help us to visualize, reproduce, and - to some extent - predict patterns or processes in our environment. assuming that nature is too complex to be fully understood, model results always give a generalized and distorted picture of reality but - if their limitations are understood - can be useful for multiple purposes. coupling models to geographic information systems (gis) enables the analysis of spatial patterns or processes over a wide range of scales. below, you can access a selection of gis-based modelling tools dealing with hazardous geomorphologic processes. these tools shall serve for identifying those areas possibly exposed to the respective processes. most of them rely on the open source software products grass gis and/or the r package for statistical computing . suited for use with linux operation systems, most of the tools are available for download along with manuals and experimental datasets. all of the tools are distributed under the gnu general public license . the modelling tools represent experimental codes suited for scientific purposes rather than ready-to-use software packages. their application requires advanced computational skills. if you would just like to play around with one or more of the tools, you might find the relevant publications and the manuals provided along with most of the tools useful. if you encounter issues not covered by the manual, you are cordially invited to join our forum . if you would like to do more extensive testing with real-world data, or if you are interested in contributing to the further development of the modelling tools, it is highly recommended - and you are highly welcome - to contact me at [email protected] . be aware that the application of computer models in the field of natural hazards is highly critical. all tools, data and manuals were prepared with utmost care and with the purpose to be useful - however, they may still contain errors of various types. even the best models only produce a distorted and generalized view of reality. their interpretation requires (i) extreme care, (ii) a detailed understanding of the model and (iii) complementary information such as measurements or observations. the unreflected communication of model results may lead to unwanted consequences. whilst i am highly grateful for critics or suggestions, i clearly refuse any responsibility for any adverse consequences emanating from the use of any of the models provided below. before starting with any computational experiments considering parameter optimization, please read the article of oreskes et al. (1994) . logo name and description further resources r.avaflow model application for the physically-based, dynamic simulation of the propagation of various types of mass flows. this tool offers implementations of the voellmy model, and of the pudasaini (2012) two-phase flow model. the latter allows to simulate process chains and interactions, such as the impact of landslides on reservoirs. r.avaflow further serves with various functionalities for visualization, empirical confirmation, and parameter optimization, facilitated by the possibility to exploit multiple computational cores. mergili et al. (2017a) mergili et al. (2017b) r.avaflow forum at landslidemodels.org r.randomwalk r.randomwalk is a flexible and multi-functional conceptual tool for backward- and forward-analyses of mass movement propagation. mass points are routed from defined release pixels of one to many mass movements through a digital elevation model until a defined break criterion is reached. lateral spreading is ensured by a constrained random walk approach. r.randomwalk offers some innovative features, compared to other conceptual tools for similar purposes. mergili et al. (2015) r.randomwalk forum at landslidemodels.org r.slope.stability three-dimensional slope stability model for large areas based on ellipsoidal or truncated slip surfaces. r.slope.stability allows for multi-core processing and is suitable for geologically complex terrain with multiple layers. further, r.slope.stability comes up with built-in functions for empirical confirmation and visualization of the model results. mergili et al. (2014a) mergili et al. (2014b) r.slope.stability forum at landslidemodels.org r.ranger r.ranger is a tool for the sensitivity analysis and optimization of parameter ranges or spaces for r.randomwalk and r.avaflow. a set of validation parameters is derived in order to allow conclusions on parameter sensitivity, and to facilitate the selection of optimal parameter ranges or spaces. r.ranger complements existing tools for parameter sensitivity analysis and optimization, which all work with parameter values instead of ranges, and value combinations instead of spaces. krenn et al. (2018) r.ranger forum at landslidemodels.org r.multirisk indicator analysis framework for high-mountain hazards and risks: r.rockslide for rock slide hazard indicator; r.iceaval for ice avalanche hazard indicator; r.periflow for periglacial debris flow hazard indicator; r.glof for lake outburst flood hazard indicator; r.multirisk.sh for the resulting risk indicator. the model is applicable at a very broad overview scale up to 100,000 square kilometres or more. download r.multirisk manual test dataset please contact [email protected] to request the code, test data and support. no manual is available for r.multirisk but its functionalities are laid out in the publication. 10.04.2013 gruber and mergili (2013) r.debrisflow integrated modelling of debris flows, including mobilization through rainfall-induced shallow slope failure or channel erosion; travel distance and impact area. please contact [email protected] to request the code, test data and a manual. note that r.debrisflow is currently not further developed and i can only provide a limited amount of support. 29.07.2008 mergili et al. (2012) gradgrid4 spatial interpolation tool for the generation of gridded maps from irregularly spaced point data; developed for precipitation mapping in mountain areas. please contact [email protected] to request the code, test data, a manual and support. note that a certain amount of work will be necessary to prepare the code for your system. 05.09.2006 mergili and kerschner (2015) -- please note that the model applications r.debrisflow ( mergili et al., 2012 ), r.multirisk ( gruber and mergili, 2013 ), r.glof ( mergili and schneider, 2011 ), and gradgrid4 ( mergili and kerschner, 2015 ) are currently not actively developed. only a very limited amount of support can be provided with regard to these tools. in case you would like to try them anyway, please contact [email protected] . responsible for this web site: martin mergili, vienna, austria. contact: [email protected] . last updated: 10 april 2017.

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