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Tsunami Warning System Overview and Seismic Data Acquisition

This course provides an overview of tsunami warning systems and seismic data acquisition. It covers the history, philosophy, challenges, and functions of warning centers, as well as the process of acquiring and analyzing seismic data.

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Tsunami Warning System Overview and Seismic Data Acquisition

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  1. U. Washington Tsunami Certificate ProgramCourse 2:Tsunami Warning SystemsSession 1Tsunami Warning System Overview and Seismic Data AcquisitionJuly 25, 2007 1:15-2:45pm Page 1

  2. Outline • Part 1 – TWS Overview • Tsunami Warning Systems • History • Philosophy • Challenges • Warning Center Functions • Part 2 – Seismic Data Acquisition • Seismometry • Networks • Station Distribution • Exercise Page 2

  3. Part 1 - Tsunami Warning Systems - History in the United States • 1949 Honolulu Observatory established • Co-located with existing Magnetics Observatory • Used data sent via teletype from seismic observatories • Established in time for major tsunamis of the 50s/60s • 1967 Alaska Tsunami Warning System established • Followed tsunami destruction due to 1964 Gulf of Alaska earthquake • Originally 3 centers; later combined into 1. • 1968 Pacific Tsunami Warning Center established • Officially expanded scope of Honolulu Observatory to other nations Page 3

  4. Tsunami Warning System History in the United States Page 4

  5. Tsunami Warning Systems • Non-U.S. Centers • Japan • Russia • French Polynesia • Chile • Systems developing as a result of 2004 Indian Ocean Tsunami • For example; Australia, Thailand, Indonesia, … • Caribbean • Conclusion • Devastating Tsunami leads to Establishment of a Tsunami Warning Center Page 5

  6. Tsunami Warning System - Philosophy • Main Purpose • Issue Warning prior to wave impact on coast • Protect life and property from tsunami hazard by providing tsunami information and warning bulletins to the Area-of-Responsibility • Problem • Wave usually can not be observed prior to impact at near locations • Answer • Issue warning based on associated phenomena (ground shaking and displacement – seismic data) which triggers the wave • Problem • There is not a direct correspondence between the ground shaking and tsunami impact • Reality • Warnings are often issued with no ensuing wave. Page 6

  7. Tsunami Warning Systems – What is it? Page 7

  8. Tsunami Warning Systems – Basic components • Tsunami Warning Centers • Acquire Data • Process and Analyze • Disseminate Information • Communication Pathways • Robust • Multiple • Tested • Local Emergency Response • Ready to Respond through planning and exercises • Receive Warnings from TWC • Disseminate to local populations • Provide public education Page 8

  9. Tsunami Warning Systems – Challenges • Can not monitor phenomena prior to nearest impact • Warning communications to those at highest risk • Hazard definition • Local emergency response • Rare events at any given location • Many threats for which to prepare • Short response time • Poorly educated public Page 9

  10. Tsunami Warning Centers • Data acquisition • Seismic • Sea level • Process and Analyze • Initial processing based on seismic data • Decision’s based on processed data and protocols • Post-process seismic data • Analyze sea level data in conjunction with historic and pre-computed models • Disseminate Information • Use all available emergency alert systems • Evacuation decisions made by state/local authorities Page 10

  11. Tsunami Warning Centers - Data Acquisition • Seismic • Virtual network • Multiple data paths • Redundancy Page 11

  12. Tsunami Warning Centers - Data Acquisition • Sea Level • Virtual network • Satellite data transmission • Many formats • Many instrument types • Coastal tide gages and DART Page 12

  13. Tsunami Warning Centers - Data Processing • Seismic • Sea level • GIS – Data bases • Forecasting • Message/graphic generation Page 13

  14. Tsunami Warning Centers - Data Processing • Seismic data processing • Initial processing • Location • Depth • Magnitude • Post-processing • Refine Magnitude • Moment tensor (~ 15 minutes) • Mantle magnitude determined Page 14

  15. Tsunami Warning Centers - Data Processing • Sea level • Display • Strip-chart view • Detail view • Analysis • De-tide signal • Low pass filter • Measure tsunami Page 15

  16. Tsunami Warning Centers - Data Processing • GIS and data bases • Overlay historical data • Compute tsunami travel times • Create web graphics • Interface forecast models Page 16

  17. Tsunami Warning Centers - Data Processing • Forecasting • Assimilate observed tsunamis into pre-computed models • Adjust models based on observations • Use forecast to dictate supplemental messages • Observations can also be compared with historical data to forecast impact Page 17

  18. Tsunami Warning Centers - Data Processing • Message Generation • Based on source parameters • Text products generated automatically • Conform to NWS and WMO standards • Graphics generated by GIS • Experimental Page 18

  19. Tsunami Warning Centers – Disseminate Information • Message Dissemination • Primary • National Warning System • NOAA Weather Wire • NWS gateway • FAA system • Secondary • Email • RSS • FAX • SMS messaging • Web site • USGS Page 19

  20. Tsunami Warning Center - Staffing • WC/ATWC • 9 Watchstanders • 1 IT specialist • 2 Electronics technicians • 1 Admin Support • 1 Director • 1 Deputy Director • Center staffed 24x7x2 • Staff activities • Day-to-day operations • Scenario training • Communications testing • Development projects • Outreach Page 20

  21. Tsunami Warning System - Summary • Tsunami warning centers and systems historically have been developed in response to devastating tsunamis. • Tsunami warning systems are different from most natural hazard warning systems in that the phenomena itself can not normally be observed prior to impact. • Tsunami Warning Systems consist of: • Tsunami Warning Center • Message Communication Paths • Emergency Response Organizations • Tsunami Warning Centers basic functions are: • Data Acquisition • Data processing and analysis • Message Dissemination Page 21

  22. Part 2 – Seismic Data Acquisition • Seismometer • An instrument which records earth vibrations • Converts ground shaking energy into an electrical signal • Extremely sensitive • Output is proportional to ground displacement, velocity or acceleration depending on instrument • Moving coil around magnet generates current • Modern seismometers use electronic force feedback to gain wide spectral response • Signal is normally digitized on site Page 22

  23. Similar to our eyes not seeing the entire electromagnetic spectrum in sunlight, seismometers only “see” a portion of earthquake energy. (USGS slide) Page 23

  24. EQUIVALENT EARTH PEAK ACCELERATION ( 20 LOG M/SEC 2 ) PERIOD (SECONDS) More than one seismometer is necessary to “see” the entire earthquake energy spectrum (USGS slide) Page 24

  25. Seismic Data Acquisition • Seismometer installations • Desired site characteristics: • Low cultural noise levels • Reliable source of power • No vandalism • Ability to “see” communications satellite • Bedrock at or near surface • Long term permitted site • Easy accessibility for maintenance • No overlap with other networks • Data transmission • Private VSAT • Satellite internet • Dedicated circuits • Radio Page 25

  26. WC/ATWC Seismometer vault at Middleton I., Alaska Page 26

  27. Seismic Waves • Seismology Basics • Three basic types of waves generated by earthquakes • Primary (P) • Secondary (S) • Surface • P waves are sound waves traveling through the earth (the fastest wave) • S waves travel about 60% as fast as P waves • Surface waves area a little slower than S waves • More energy is transmitted in S and Surface waves than P waves Page 27

  28. Seismic Waves • Body Waves – travel through the earth • P Waves • Sound Waves • Particle motion in the direction of propagation • S Waves • Particle motion perpendicular to the direction of propagation • Generally caries more energy than the P wave • Surface Waves – travel around earth’s surface • Rayleigh Waves • Elliptical motion in direction of propagation • Size of ellipse related to wave period • Dispersive – peak velocity at about 50s period • Love Waves Page 28

  29. Seismic Networks 2004 Sumatra earthquake recorded on several stations of the IRIS Global Seismic Network (USGS slide) Page 29

  30. Seismic Networks • Tsunami Warning Centers use available networks to create virtual global networks • Global networks • IRIS Global Seismic Network • CTBTO • National networks • US NSN • Canadian network • Etc. • Regional networks • S. California Seismic Network • Pacific Northwest Seismic Network • Etc. Page 30

  31. Page 31

  32. Page 32

  33. IRIS Global Seismic Network Page 33

  34. Page 34

  35. Page 35

  36. Seismic Data Transmission • Redundancy is the key • Use redundant path to critical networks • No single path is 100% reliable • Create virtual network out of overlapping regional networks • Reduces dependency on any one network and its server • Utilize two data import computers • Each connects to a network through a separate path Page 36

  37. Seismic Data Acquisition at the WC/ATWC Page 37

  38. Seismic Network Density for Tsunami Warning Systems • Seismic network variables which influence TWC response time • Station Density • X stations within Ykm from a given location • Station Uptime • Percentage of time station is operating • Data Latency • Length of time it takes for signal to arrive at center • Data quality • Broadband versus short period • These values are the main factors which control a tsunami warning center’s response time • Response time is the length of time it takes after an earthquake origin to issue a message Page 38

  39. Seismic Network Density for Tsunami Warning Systems • Seismic Network requirements for a Tsunami Warning Center to issue a message within five minutes • Station Density • 12 evenly distributed stations within 900km of source (2 minute P-wave travel time) • Station Uptime • 80% station uptime • Data Latency • Up to 30s latency • Data quality • Broadband, digital signal Page 39

  40. Seismic Network Density for Tsunami Warning Systems • Given the station requirements on the previous slide, a warning timeline response is: • 150s to record signal on 9 to 10 stations • Based on 12 stations within 900 km of epicenter with 80% station uptime and up to 30s latency • 60s to record enough signal after the P to determine magnitude • Using the Mwp moment magnitude technique • 30s extra for analyst review • Need well-trained and experienced analysts • 60s to compose and review appropriate message • Must be automated message generation Page 40

  41. Seismic Network Density for Tsunami Warning Systems • Warning Response Timeline can be compressed by: • Increasing station density • Reducing data latency • Reducing station downtime • Decreasing analyst process, review and message generation time • There is a limit to decreasing response times • Large earthquakes have source process times of over 100 seconds • There is an increased danger of false alarms as analyst review time decreases Page 41

  42. Page 42

  43. Seismic Data Acquisition - Summary • Seismic data are critical to operations at tsunami warning centers • Broadband data provides a more realistic view of earthquake source properties than band limited data • Many networks are available to feed seismic data to tsunami warning centers and the amount of available data is increasing. • Redundancy is important for seismic data feeds so that a TWC is not left blind by the outage of one network • The density, quality, and reliability of seismic data controls a tsunami warning center’s response time Page 43

  44. Seismic Data Acquisition: References • USGS Seismology and Tsunami Warnings Training Course – CD - 2006 Page 44

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