Details of Grant 

EPSRC Reference:	EP/D50189X/1
Title:	Bridging the Macro and Micro: a Computing Intensive Earthquake Study
Principal Investigator:	Guo, Professor Y
Other Investigators:	Liu, Dr JG
Researcher Co-Investigators:	Dr V Curcin
Project Partners:	NCKU (National Cheng Kung University) University of Oklahoma
Department:	Computing
Organisation:	Imperial College London
Scheme:	Standard Research (Pre-FEC)
Starts:	01 August 2005	Ends:	28 February 2006	Value (£):	42,222
EPSRC Research Topic Classifications:	Information & Knowledge Mgmt
EPSRC Industrial Sector Classifications:	No relevance to Underpinning Sectors
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Panel History:
Summary on Grant Application Form
K. SummaryDescribe the proposed research in a style that would be accessible to an interested 14 year old [up to 4000 chars]The aim of this project is to demonstrate the Discovery Net powerful massive data processing capacity specifically for quantitative earthquake study. As a novelty, the project particularly emphasizes the combination between the imageodesy algorithms in the Discovery Net for macro scale measurement on earth surface based on satellite remote sensing imagery and analysis tools developed by our US partners for micro scale simulation of deformation dynamics based on in-situ samples and synthetic models. We emphasize the bridging in two folds: The complementary between macro and micro information (a micro simulation may answer the question of a macro scale problem). Transfer and sharing the algorithms between macro and micro scale studies. A technique for micro study may bring break through for macro study and vice versa.The idea is to further the case study of Kunlun earthquake using 10 m resolution SPOT satellite imagery data which is of much higher quality in many aspects than ETM+ that we used before during the Discover Net project. The macro pattern of the regional deformation will be analysed and simulated at micro scale using the tools and computing resources at our US partners' site. We expect the regional macro scale deformation pattern of earthquake can be reflected on stress field and kinematic features on rock samples and synthetic models of mud materials. This will provide a new light on bettern understanding the earthquake dynamics and monitoring pre-earthquake deformation.The key issue for this project is to demonstrate a bridging scale data intensive study for earthquakes based on high throughput informatics. The success of such an attempt depends on: Sharing expertise between the scientists at two sites. Sharing macro (Imperial College) and micro (OU) software capacity and algorithms Sharing the processing hardware capacity at both sides.All in one, the GRID computing facilitated via high speed network is the backbone of the technology that we will put into the
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Organisation Website:	http://www.imperial.ac.uk