1. Page 1 Environmental Study through NARL Synergy & CEPERC Associate Researcher Jyh-Horng Wu

2. Page 2 Objective Introduction Real-time flood watching system Mobile Real-time flood watching system

3. Page 3 Introduction

4. Page 4 Application of GRID Tec. for Natural Environment Infrastructure Field monitoring Flood simulation Disaster Prediction Protocol/Working flow Rescues Dispatch Resource Allocation Super computing Storage Center Network Backbone Real-Time Data Sharing Middleware Sensors Grid Application Service RemoteControlRemoteControlP2PSteamP2PSteamImageRecognizeImageRecognizeCommunicationCommunicationGISGISUserAccountUserAccount Computing Grid Data Grid Sensor Net StreamingStreaming DataProtectionDataProtection Breakdown Notification JobSubmitJobSubmit Ecological Research Agriculture Research Customize Application of GRID Tec. for Natural Environment

5. Page 5 The most damage typhoons in Taiwan DateTyphoon NameAgriculture Damages in~10 6 US$ Persons Missing and Deaths 06/30/2004MINDULLE2.9941 09/15/2001NARI1.63104 08/21/2001BILIS2.3221 07/28/2001TORAJI2.68214 10/29/2000XANGSANE1.6389 10/13/1998ZEB2.0638 08/28/1997AMBER0.841 07/29/1996HERB4.9273 08/23/1994AERE0.5829 08/09/1994DOUG1.4715 07/09/1994TIM1.2623 08/31/1993DUJUAN0.893

6. Page 6 Apply Grid Tec. to Flood mitigation Flood forecast –Require computing and data storage resources. Decision maker –Group-to-Group Communication. Sensor Net (Real-Time Data) –Un-limited number of users. –Integrate GIS Indicate what and where you are watching –Integrate Mobile devices Integrate cell phone systems for popular usage

7. Page 7 Flood Mitigation Grid: The Network C. River Bureau Hazard Mitigation Research Center N. River Bureau E. River Bureau S. River Bureau Taipei Office Taichung Office Research Center TWAREN Linking TWAREN to WRA offices, Research centers, River bureaus

8. Page 8 Flood Forecast System Flood Forecast System (Develop by NTU) After typhoon warning announced by CWB (Central Weather Bureau), WRA (water resources agency) will active the Flood Forecast System Typhoon & Rainfall Model Forecast Typhoon related data 1.Collect sensor data 2.Search similar history typhoon (Require computing resource) 3. Flood forecast ( Require computing resource)

9. Page 9 Problems of Flood forecast system Huge amount of data I/O No parallelism Only can simulate a single watershed each time (20 min) Taiwan has more than 20 rivers.

10. Page 10 Improve forecast efficiency Large scale flood forecast –Integrate computing resource and storage of NCHC –Simulate all rivers concurrently Record and monitor the progress of forecast –For debug/interrupt/pause during forecasting, if necessary –Computing resource usage report –Record the huge data of forecast result for further research

11. Page 11 Grid-based Forecast system architecture

12. Page 12 Flood Simulations

13. Page 13 Computing resource monitor

14. Page 14 Grid-Tec. Decision maker

15. Page 15 Decision meeting Chair of decision meeting, Director- General, Water Resources Agency; plus 12 River and Water Resource Bureaus during Typhoon Phoenix

16. Page 16 Real-time flood watching system Install remote sensors (including videos) around Taiwan. Monitor the conditions of rivers, water reservoirs and pump stations through internet. High resolution and frame rate of video stream data. Sharing the real-time sensor s data with other people.

17. Page 17 Problems Limitation of bandwidth. Limitation of Computing resource. Un-limited number of user clients. User Bottle Neck Ex. ADSL 512k Source

18. Page 18 Solutions Prevent user clients from getting data from data source directly. Design a scalable middleware –Use Multicasting to reduce the loading of network bandwidth from data source. –Use P2P to distribute the loading of middleware.

19. Page 19 Implementation of Multicast User Middleware User 100M or more Source 1Source 4 Source 2Source 3 One Connection Duplicate Data 512K or less

20. Page 20 P2P - share middleware s loading Duplicate Data User Source Middleware User

21. Page 21 Real-Time Flood Monitoring System Abnormal detection Device Remote control Real-Time Video GIS map layer control Search Camera Control GIS map

22. Page 22 Auto-Recognize water level

23. Page 23 History Images The Recoded Images. The Date of this Image Searching Recorded Images Select a Date Play Recorded Images Save Recorded Images Bright/Contrast

24. Page 24 24 Sensor net river monitoring system found flow over crest of levee in Den-Pau Creek Flood Sensor Monitoring System was officially used in Disaster Prevention & Response Center During Typhoon KALMAEGI in a decision meeting chaired by premier Liu More than hundred times of log-in Sensor Net System during Typhoon KALMAEGI Provide real-time flood scene for premier Premier Liu

25. Page 25 Mobile Real-time flood watching system PTZ control Position adjust Change resolution

26. Page 26 Work flow of mobile flood watch

27. Page 27 Flood images report

28. Page 28 Watch mobile data via flood watching system

29. Page 29 Flood report Middleware Database BT Device search Upload Upload Module Cell Phone Internet Service Monitor System Active CCD Conne ct BT GPS LocationCapture GPS+ Internet

30. Page 30 Conclusions The powerful cell phone has affect human life Integrate cell phone, more people will join for disaster mitigation

31. Page 31 Thank you