Big Data Applications in Disaster Management

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1 Taiwan 2012 Bridging Big Data Infrastructure Workshop Case Studies and Needs: Disaster Mitigation Whey-Fone Tsai National Center for High-performance Computing National Applied Research Laboratories Hsinchu, Taiwan Dec. 4,

2 Big Data Applications in Disaster Management

3 Disaster Management Information Platform Objectives to establish the large data processing system for data backup & r e d u n d a n c y, circulation, sharing, model analyses, and visualization. to develop the system of communication, collaboration, and coordination utilized among the governmental disaster prevention and rescue units. to accelerate the integration of multiple disaster information sources provided by the distributed government agencies and analyzed results to improve the performance of disaster response and mitigation operations. 3

4 Multiple Observation/Image Data 3D Terrain Taiwan Ocean Sea Bed Topography Airborne shooting UAV 3D Photos in Disaster Area 4

5 Disaster Management Platform at NARL A Multidisciplinary Research Taskforce under NARL Observation & Platform Simulations & Applications NSPO: Remote Sensing Image TTFRI: Typhoon & Flood Research TORI: Marine Observation NARL Synergy on Environmental & ITRC: Optical Airborne Image Disaster Prevention NCREE: Earthquake Engineering NCDR: Disaster Reduction Technology NCHC: Data Warehouse HPC & 3D Visualization Source Chi-Yu Chiu and Chin Lin

6 Data Backup, Redundancy and Loading Balance The framework of data backup, redundancy and loading balance mechanism have been planned, which cover the service of disaster prevention and rescue information and the multiple-communication and sharing system among four nodes: National Center for Disaster Reduction (NCDR) and NCHC three sites located in Hsinchu, Taichung, and Tainan, respectively 6

7 The Communication and Collaboration System The communication and collaboration system has been developed and is used by the member institutes of governmental disaster spatial information taskforce. The service to the member institutes includes: (1) interactive communication and information sharing; (2) coordination and call-for-help during disaster event period and regular time; and (3) work recording, experience sharing, and summary of results 7

8 The WMS Cloud Coupled with Web 3D GIS Application System The WMS (Web Map Service) cloud has been developed following the OGC (Open Geospatial Consortium) standard to provide single-entry image service. The web 3D GIS application system, World Wind Taiwan, is able to link and use the WMS cloud for multiple images stitching and overlaying with atmospheric observation data. The WMS cloud coupled with the web 3D GIS application system provides an integrated and complete service. 8

9 WebM 3D GIS Navigation Cloud System The WebM 3D GIS navigation cloud system following the NVIDIA 3D vision requirement has been developed. The terrain of Taiwan, watershed layout, weather observation information, and forecast results of disaster events can be browsed through the web in form of 3D stereo video. This is quite helpful for decision support associated with disaster mitigation management. 9

10 10 Government Agencies Observation Database Disaster Management Database & Applications Short term/varieties of data / Real-time data Forecast Model (1D/2D) Response Stage Display (1D/2D) Communication Applying Management Index Current Disaster Scenario Decision Making Action Plan Simulation Model (2D/3D) Display (2D/3 D) Management Index Historic Disaster Scenarios Recovery stage Opportunity & Challenge? Raw Data Long term/large Volume Data Applications Metadata QA/QC Review Feedback Data Analysis Data Service Earth & Environmental Science Database & Applications

11 BIG Data Opportunity & Challenge Disaster Management Opportunity Government s Top-down project (Budget is secured) Privilege to access almost all governmental database Deployment of Disaster Data-model verification & authentication standard cases Challenge Similar to what GLEON/NEON have faced (Standard, interface..) Multiple people communication in data flow System stability & risk in real-time response stage 11

12 Sharing Talks & Comments NSPO BO Chen TORI Chi Wu NETCTEC Sornthep Vannarat Others 12

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