Digital preparedness of accelerating information sharing on disaster risk reduction
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1 Digital preparedness of accelerating information sharing on disaster risk reduction Wei-Sen Li Secretary General, NCDR Co-Chair, APEC Emergency Preparedness Working Group 2014/10/16 Workshop on Enhancing Critical Infrastructure Security and Resilience in the Asia Pacific Region, Taipei
2 Outlines Current status and challenges of natural hazards in Chinese Taipei and APEC member economies Best practices of Chinese Taipei to lower disaster risks by information sharing Typhoon emergency operation Scenario based impact assessment of Large scale earthquake Make big data open and actionable An application to the Science Park to monitor seismic risk Conclusions Synergy and sharing in APEC
3 Major Natural Challenges to Chinese Taipei Typhoon orakot, 2009) Urban flood (Nari, 2001) Debris flow Landslide Earthquake hi-chi,1999) Residential Building Damages to Infrastructure Collapsed school
4 Recent Report by Maplecroft, 2011 APEC economies occupy 11 of top 20 (55%) Chinese Taipei 4
5 Maplecroft's Socio economic Resilience Index 2013 Factors keep Chinese Taipei resili Chinese Taipei Application of S&T National programs and NCDR Transparent risk Website to download Risk maps of flo landslide and debris flow Well organized legal framework Disaster Prevention and Response Ac (2000~) Office of Disaster Management (2009 Active participation by private sector NGOs and NPOs Communities Academia, professional groups
6 Outlines Current status and challenges of natural hazards in Chinese Taipei and APEC member economies Best practices of Chinese Taipei to lower disaster risks by information sharing Typhoon emergency operation Scenario based impact assessment of Large scale earthquake Make big data open and actionable An application to the Science Park to monitor seismic risk Conclusions Synergy and sharing in APEC
7 Aggregating big data for open data Cross cutting Synergy, Information sharing, Actionable Weather Forecasting Potential path Combine more than 20 units, 120 maps(big Data) Flood Warning Simulation Geo Debris flow warning Slope land warning Road closure Value added Provide early warning information Apply Provide situation assessment system Typhoon emergency oper
8 Required big data for operation Course Predictions Radar Real time rain gauge data Satellite Climate model Dynamic model Typhoon emerge operatio
9 Data required for typhoon emergency operation CEOC Assessment Group Monitor & Forecasting of CWB Evaluate the locations & scales of hazards Early Warning and Evacuating Flood potential areas + Typhoon Model Decision support system (Hazard potential) Landslide & debris flow potential areas Typhoon emergency oper
10 Big data backbone to support decision support system (a) Data sources Central government (6 ministries and 20 agencies) Local governments(17) (b) Data exchange(c) Data storage Static data Dynamic data FTP Web Service WMS Structured types Database Non structured types Files (d) Backup center NCHC GNS NGO(World Vision Taiwan) Public service (Taipower, Water supply, Railway) Research institutes image Storage SDE DB SQL DB File Storage NCHC, GNS Spatial information group NCHC: National Center for High performance Computing GNS: Government Service Network Typhoon emergency oper
11 cenario based analysis for urban area by grid method Simulated EQ Casualties cause by collapsed buildings Transportation Water supply Liquefaction Power supply Landslides Application for Large scale earthquake System failures
12 ing big data to develop information based preparedness and scenarios on earthquakes Application for Large scale earthquake 12
13 Data mesh and data sampling Big data produced by the Chunghwa Telecom Taipei City New Taipei City Keelung City Coverage: Taipei City, New Taipei City and Keelu City Grid size: 1.0 km x 1.0 km (2,388 grids in total) Population (by August, 2014) Taipei City: 2,695,007 New Taipei City: 3,959,855 Keelung City: 373,721 Data sampling 9 am, 3 pm and 9 pm 7 M Not receiving data in real time mode Application for Large scale earthquake
14 Application: population distribution pattern Averaged data at 9 am Averaged data at 3 pm Application for Large scale earthquake Averaged data at 9 pm
15 During weekdays, inflow from neighborhood cities plication: To analyze factors affecting population distribution Differences at weekdays, weekend and holidays Land use affects population distribution Long-term observation requ Application for Large scale earthqu
16 ergy between public and private sector on alert dissemination Alerts Typhoon, Torrential rain Earthquake, Tsunami Debris flow Reservoir discharge, flood, water level rise Disaster Information Open Data Platform ATOM service Web alert unit Open exchange platform Closure or interrupt of highway Operation suspension of railway Server Receive CAP check process PUSH service Operation suspension of high speed railway Classes canceled Social media sharing Business, App developers and industry are welcome to receive and use the open information big data open and actionable
17 Data Platform for Disaster Information (CAP format) Develop disaster information open data platform (
18 Information to the general public collaboration with Google s services Common Alerting Protocol ent, academia and personal APP developer, all apply for interfacing alert data tarts in 2013/07/10, using our platform s service
19 stomers: Public Private Partnership on Information Dissemination and Situation Report Advantages of Convenient Chain Stores in Taiwan Close to 10,000 island wide Almost 50% operated by 7 Eleven 7 ELEVEN provides not only close to consumer services, but also emergency preparedness. Local weather features Flood situation reports
20 Public Warning System by Cell Broadcasting System rnings Cell Broadcast Entity Cell Broadcast Center Applications ssages ernment Cell phone broadcasting ntial unami arge, vel rise rrupt of CAP messages CAP messages Alert integration platform Alert Aggregator Alert Gateway XML API XML API CBC, 4G operator Internet Auto activation response system IP access Active response system
21 Outlines us and challenges of natural hazards in Chinese Taipei and er economies es of Chinese Taipei to lower disaster risks by information n emergency operation o based impact assessment of Large scale earthquake ig data open and actionable on to the Science Park to monitor seismic risk
22 ing of Science Parks in Chinese Taipei sinchu Science Park Longtan Opto-Electronics miconductor,, PC/Peripherals, Telecom, to-electronics, Machinery Biomedical Park otechnology hunan Biotechnology, communications Opto-Electronics ongluo efense technology Industry Holi l Science Park Machinery Panel Industry Yunlin Agricultural Biotechnology rn Science Park onductor, Panel Industry Since 2003 Since 1980 Since 1996 Yilan Telecommunications, Knowledge service
23 Potential risks to Science Parks ods Droughts Landslides Earthquakes o block the stics support; o endanger rkers safety To slow IC producing process To interrupt electricity supply To cause facility damages lood maps Long-term forecast based on climate change Risk maps Risk map Monitoring BCP
24 rgets for the Hsinchu Sceince Park ER model on Lifeline To conduct ambient vibration monitoring and seismic risk evaluation To analyze demands for seismic capacity To identify needs of earthquake emergency operation To promote Business Continuity Management at administration level and individual business To apply research outcomes for practical implementation To introduce up to day concepts of risk management
25 Outlines us and challenges of natural hazards in Chinese Taipei and er economies es of Chinese Taipei to lower disaster risks by information n emergency operation o based impact assessment of Large scale earthquake ig data open and actionable on to the Science Park to monitor seismic risk
26 urther comprehensive collaboration on business ugh regional synergy and sharing under APEC fora ponse tion en data to redness Business resilience Global Supply Chain Resilience (2013) TPTWG(2012) SMEWG (2011) Critical Infrastructure Security and Resilience APEC Contributions CTWG (2014) Build up linkages among AEPC WGs to shorten gaps. Leverage resources by planned actions. Share the best practices and information. Promote publicprivate partnership. Encourage crossfora workshops on
27 Thanks ning from disasters and living with them
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