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Science

This term is for articles related to scientific work in all fields such as Physics, Chemistry, Environment, Biology, etc.

Modeling of landslide-generated tsunamis with GRASS

in FOSS4G, FOSS4G2011, Science, Video, OSGeo
OSGeo
Intense earthquakes, like those recently registered in Japan and New Zealand may trigger landslides phenomena. In these cases terrain instabilities can suddenly failure and, if water bodies are in the proximities, generate impulse wave tsunami that may pose at risk population and infrastructures. Although the energy of such a kind of tsunami is in general rapidly dissipated, in water body like artificial basins, natural lakes or fjords the effect can still be destructive, either due to run-up of the wave on the nearby shores or due to dam overtopping.
 
This research work illustrates how landslide generated tsunami can been modeled within the GRASS GIS by considering the wave generation, its propagation and finally the run-up/overtopping and flooding.
 
The implemented modules apply the equation from Heller 2009 to estimate the impulse product parameter (P), that takes into account all the slide impact characteristics (mass velocity, slope, thickness, etc.), for the estimation of maximum wave height. Afterwards, the propagation and run-up are estimated with both the shallow water equation approach and the empirical formulation by Heller 2009 for comparison analysis purpose.
 
The applied modeling equations, numerical schemes and results are here presented within a risk assessment executed on a case study of “Torrioni di Rialba” located on the Como Lake. This area is characterized by the presence of a conglomeratic column 100 meters height delimited by a tension crack: a possible toppling of the column may cause a 50’000 m3 rock falling into the lake and generating an impact wave tsunami.
 
This research integrates some previous works presented in the past FOSS4G conference like “RiskBox: Natural Hazards and Risks Analysis within the GIS GRASS” (FOSS4G 2007), “Natural Hazards and Risk Assessment: the FOSS4G capabilities” (FOSS4G 2008) and “Two-dimensional dam break flooding simulation: a GIS embedded approach” (FOSS4G 2009).
 
Event: 
FOSS4G2011
Speaker: 
Massimiliano Cannata
Roberto Marzocchi

Earth Observation Scientific Workflows in a Distributed Computing Environment

in FOSS4G, FOSS4G2011, Science, Video, OSGeo
OSGeo

Scientific workflows offer a promising paradigm to facilitate researchers, in the earth observation domain, with many aspects of the scientific process. One such aspect is that of access to distributed computing and earth observation data and processing resources. Earth observation research often utilises large datasets requiring extensive CPU and memory resources in their processing. These resource intensive processes can be chained; the sequence of processes (and their provenance) makes up a scientific workflow. Despite the exponential growth in capacity of desktop computing, resources available on such devices are often insufficent for the scientific workflow processing tasks at hand. By integrating distributed computing capabilities into a geospatially-enabled scientific workflow environment, it is possible to provide researchers with a mechanism to overcome the limitations of the desktop computer. The majority of effort in regard to extending scientific workflows with distributed computing capabilities has focused on the web services approach as exemplified by the OGC's Web Processing Service and by GRID computing. The approach to leveraging distributed computing resources described in this paper uses instead object remoting via RPyC and the dynamic properties of the Python programming language. The Vistrails (http://www.vistrails.org) environment has been extended to allow for geospatial processing through the EO4Vistrails package (http://code.google.com/p/eo4vistrails/). In order to allow these geospatial processes to be seamlessly executed on distributed resources such as cloud computing nodes, the Vistrails environment has been extended with both multi-tasking capabilities and distributed processing capabilities. Types of extensions include remote execution of PostGIS queries, the seamless remoting of Numpy and the integration into NetworkX and PySAL on distributed computing resources. The paper describes the broader architecture, lessons learnt and various strengths and weaknesses of these alternate approaches. These lessons included discovering limitations of inter process communication and the implications of the use of the C programming language underpinning the performance in many FOSS4G softwares. The paper completes by describing the future efforts and extensions that should be addressed to improve the current solution.

 

Event: 
FOSS4G2011
Speaker: 
Terence Van Zyl

Accelerating remote sensing visualization with WebGL

in FOSS4G, FOSS4G2011, Programming, Science, WebGL, OSGeo, Web Programming
WebGLOSGeo

Location

Denver, CO
United States
39° 44' 20.9544" N, 104° 59' 4.9308" W

Accelerating remote sensing visualization with WebGL by Trevor Clarke

 

Event: 
FOSS4G2011
Speaker: 
Trevor Clarke

Enabling Spatial Dynamics Modelling with Scalable Local Regression

in FOSS4G, FOSS4G2011, Science, OSGeo
OSGeo

Location

Denver, CO
United States
39° 44' 20.9544" N, 104° 59' 4.9308" W

Enabling Spatial Dynamics Modelling with Scalable Local Regression by:

Christian Kaiser, Maryam Kordi

Stewart Fotheringham, Alexei Pozdnoukhov

 

Event: 
FOSS4G2011
Speaker: 
Christian Kaiser
Maryam Kordi
Stewart Fotheringham
Alexei Pozdnoukhov