We present the development and use of a novel distributed geohazard modeling environment for the ... more We present the development and use of a novel distributed geohazard modeling environment for the analysis and interpretation of large scale earthquake data sets. Our work demonstrates, for the first time, how earthquake-related surface deformation measured from satellite images using imageodesy algorithms is coupled with analysis and simulation using finite-element numerical models. Our work realises a real time distributed analytical environment where analysis and simulation are closely coupled; integrating high performance implementations of image mining components executing on dedicated Discovery Net servers at Imperial College London, UK and high performance implementations of finiteelement models executing at specialised servers at the University of Oklahoma, USA. Novel scientific results produced using our data sets provide a valuable insight into earthquake analysis. In addition, our informatics work provides a novel high performance computing framework and methods for the application of complex knowledge discovery methods to understanding earthquake dynamics. Furthermore, the realisation of our distributed computing platform is based on the implementation of a set of open standards, making its results accessible over the Grid to the wider scientific community.
A Discovery Net project that has been investigating the relationship between macro and micro-scal... more A Discovery Net project that has been investigating the relationship between macro and micro-scale earthquake deformational processes has successfully developed and tested a geoinformatics infrastructure for linking computationally intensive earthquake monitoring and modelling. Measurement of lateral coseismic deformation is carried out with imageodesy algorithms running on servers at the London eScience Centre. The resultant deformation field is used to initialise geo-mechanical simulations of the earthquake ...
We present the development and use of a novel distributed geohazard modeling environment for the ... more We present the development and use of a novel distributed geohazard modeling environment for the analysis and interpretation of large scale earthquake data sets. Our work demonstrates, for the first time, how earthquake-related surface deformation measured from satellite images using imageodesy algorithms is coupled with analysis and simulation using finite-element numerical models.
The devastating earthquake that occurred in Wenchuan County, Sichuan Province, China, on the 12th... more The devastating earthquake that occurred in Wenchuan County, Sichuan Province, China, on the 12th May 2008, caused widespread damage and devastation to rural communities and economy. The terrain of the entire region has been weakened and is now highly susceptible to long-term slope instability that will trouble this region for many years to come. Before the earthquake, the maximum seismic intensity expected in the region was VI-VIII in the 12-degree Liedu scale (the intensity measure adopted in China). However, the actual intensity caused by the earthquake ranged between VIII and XI. The seismic intensity map is practical for regional guidance but lacks the detail to provide an adequate representation of the true damage level, in terms of current status and future potential in such a seismically active and populated region, especially when the hazards and risks are likely to be multiple and cascading in high relief areas. This paper presents a GIS based novel approach to earthquake damage zone modelling using satellite remote sensing and DEM data. The novelty is to take into account the coseismic ground deformation (measured using differential SAR interferometry) as an important modulating factor in modelling the susceptibility of earthquake related geohazards, together with conventional multi-criteria factors which draw on geological and topographical variables such as rock competence, slope, proximity to drainage, and fracture density. The modulating effect of the earthquake greatly enhances the susceptibility in the areas where the majority of the ensuing landslides and debris-flows actually took place. When this susceptibility model is further modulated by the mapped surface disruption caused by the earthquake (which encompasses all forms of mass movement and urban destruction), it is directly linked to seismic intensity and we call it "earthquake damage". The output earthquake damage map represents both the current damage status as well as the future damage (hazard) potential. The resulting earthquake damage map for the Beichuan region clearly defines a series of zones of increasing seismic intensity, approximately corresponding to Liedu values VIII-XI but with great details.
We present the development and use of a novel distributed geohazard modeling environment for the ... more We present the development and use of a novel distributed geohazard modeling environment for the analysis and interpretation of large scale earthquake data sets. Our work demonstrates, for the first time, how earthquake-related surface deformation measured from satellite images using imageodesy algorithms is coupled with analysis and simulation using finite-element numerical models. Our work realises a real time distributed analytical environment where analysis and simulation are closely coupled; integrating high performance implementations of image mining components executing on dedicated Discovery Net servers at Imperial College London, UK and high performance implementations of finiteelement models executing at specialised servers at the University of Oklahoma, USA. Novel scientific results produced using our data sets provide a valuable insight into earthquake analysis. In addition, our informatics work provides a novel high performance computing framework and methods for the application of complex knowledge discovery methods to understanding earthquake dynamics. Furthermore, the realisation of our distributed computing platform is based on the implementation of a set of open standards, making its results accessible over the Grid to the wider scientific community.
A Discovery Net project that has been investigating the relationship between macro and micro-scal... more A Discovery Net project that has been investigating the relationship between macro and micro-scale earthquake deformational processes has successfully developed and tested a geoinformatics infrastructure for linking computationally intensive earthquake monitoring and modelling. Measurement of lateral coseismic deformation is carried out with imageodesy algorithms running on servers at the London eScience Centre. The resultant deformation field is used to initialise geo-mechanical simulations of the earthquake ...
We present the development and use of a novel distributed geohazard modeling environment for the ... more We present the development and use of a novel distributed geohazard modeling environment for the analysis and interpretation of large scale earthquake data sets. Our work demonstrates, for the first time, how earthquake-related surface deformation measured from satellite images using imageodesy algorithms is coupled with analysis and simulation using finite-element numerical models.
The devastating earthquake that occurred in Wenchuan County, Sichuan Province, China, on the 12th... more The devastating earthquake that occurred in Wenchuan County, Sichuan Province, China, on the 12th May 2008, caused widespread damage and devastation to rural communities and economy. The terrain of the entire region has been weakened and is now highly susceptible to long-term slope instability that will trouble this region for many years to come. Before the earthquake, the maximum seismic intensity expected in the region was VI-VIII in the 12-degree Liedu scale (the intensity measure adopted in China). However, the actual intensity caused by the earthquake ranged between VIII and XI. The seismic intensity map is practical for regional guidance but lacks the detail to provide an adequate representation of the true damage level, in terms of current status and future potential in such a seismically active and populated region, especially when the hazards and risks are likely to be multiple and cascading in high relief areas. This paper presents a GIS based novel approach to earthquake damage zone modelling using satellite remote sensing and DEM data. The novelty is to take into account the coseismic ground deformation (measured using differential SAR interferometry) as an important modulating factor in modelling the susceptibility of earthquake related geohazards, together with conventional multi-criteria factors which draw on geological and topographical variables such as rock competence, slope, proximity to drainage, and fracture density. The modulating effect of the earthquake greatly enhances the susceptibility in the areas where the majority of the ensuing landslides and debris-flows actually took place. When this susceptibility model is further modulated by the mapped surface disruption caused by the earthquake (which encompasses all forms of mass movement and urban destruction), it is directly linked to seismic intensity and we call it "earthquake damage". The output earthquake damage map represents both the current damage status as well as the future damage (hazard) potential. The resulting earthquake damage map for the Beichuan region clearly defines a series of zones of increasing seismic intensity, approximately corresponding to Liedu values VIII-XI but with great details.
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