Abstract
The National Oceanic and Atmospheric Administration’s (NOAA) Center for Tsunami Research (NCTR) uses geospatial data and GIS analysis techniques in support of building an accurate tsunami forecasting system for the US Tsunami Warning Centers. The resulting forecast products can be integrated into applications and visualizations to assess hazard risk and provide mitigation for US coastal communities ranging from small towns to large urban centers. NCTR also conducts basic research on the nature of tsunami propagation and inundation, which relies on accurate geospatial information. In this chapter, we discuss how we have used both open source and commercially available geospatial technologies to address issues in tsunami research and hazard mitigation – including model visualization, data delivery, and emergency management products. Additionally, we discuss the development and coupling of tsunami model results with coastal risk, vulnerability, and evacuation models, raising the issues of integration, visualization, proliferation of mapping applications, and the ease of use and intended audience of these products.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bernard, E.N. 2005. The U.S. National Tsunami Hazard Mitigation Program: A successful state–federal partnership. Natural Hazards, 35(1), Special Issue, U.S. National Tsunami Hazard Mitigation Program, 5–24.
Denbo, D.W., McHugh, K.T., Osborne, J.R., Sorvik P., Venturato, A.J. 2007. NOAA tsunami forecasting system: Design and implementation using service oriented architecture. In 23rd Conference on Interactive Information Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, 87th AMS Annual Meeting, San Antonio, TX, 14–18 January 2007, Paper 3A.9.
Dominey-Howes, D., Dunbar, P., Varner, J. (2009). ‘Estimating probable maximum loss from a Cascadia Tsunami’ Natural Hazards.
Eveleigh, T.J., Mazzuchi, T.A., Sarkani, S. 2006. Systems engineering design and spatial modeling for improved natural hazard risk assessment. Disaster Prevention and Management, 15(4), 636–648.
Ferret. 2008. Users Guide. http://ferret.pmel.noaa.gov/Ferret/documentation/user-guide. Accessed April 15, 2008.
GeoTools. 2008. GeoTools: The Open Source Java GIS Toolkit. http://geotools.codehaus.org/. Accessed April 28, 2008.
González, F.I., Titov, V.V., Mofjeld, H.O., Venturato, A., Simmons, S., Hansen, R., Combellick, R., Eisner, R., Hoirup, D., Yanagi, B., Yong, S., Darienzo, M., Priest, G., Crawford, G., Walsh, T. 2005. Progress in NTHMP hazard assessment. Natural Hazards, 35(1; Special Issue): U.S. National Tsunami Hazard Mitigation Program, 89–110.
MapServer. 2008. Welcome to MapServer. http://mapserver.gis.umn.edu/. Last modified May 12. Accessed April 28.
Martin, P.H., LeBoeuf, E.J., Dobbins, J.P., Daniel, E.B., Abkowitz, M.D. 2005. Interfacing GIS with water resource models: A state of the art review. Journal of the American Water Resources Association, 41(6), 1471–1487
Merati, N., Gica, E., Chamberlin, C. 2007. Building Tsunami tools into a GIS workspace. InESRI International User Conference Proceedings (UC1889), 18–22 June 2007, San Diego, CA.
Mofjeld, H.O., Venturato, A.J., González, F.I., Titov, V.V., Newman, J.C. 2004. The harmonic constant datum method: Options for overcoming datum discontinuities at mixed-diurnal tidal transitions. Journal of Atmospheric and Oceanic Technology, 21, 95–104.
National Geophysical Data Center (NGDC). 2008a. NGDC Tsunami Inundation Gridding Project: http://www.ngdc.noaa.gov/mgg/inundation/tsunami/inundation.html. Last updated October 22. Accessed April 29, 2008
National Geophysical Data Center (NGDC). 2008b. NGDC Tsunami Inundation Gridding Project: Tsunami DEM Development.. http://www.ngdc.noaa.gov/mgg/inundation/tsunami/general.html. Last updated July 23. Accessed April 29, 2008.
NOAA Center for Tsunami Research (NCTR). 2007. Method of Splitting Tsunami (MOST) Software Manual, Seattle, WA: NOAA.
NOAA Center for Tsunami Research (NCTR). 2008a. Community Model Interface for Tsunami (ComMIT). http://nctr. pmel.noaa.gov/ComMIT. Accessed April 29, 2008.
NOAA Center for Tsunami Research (NCTR). 2008b. Tsunami Modeling and Research. http://nctr.pmel.noaa.gov/model.html. Accessed April 29, 2008.
Percival, D.,Arcas, D., Denbo, D.W., Eble, M.C., Gica, E., Mofjeld, H.O., Spillane, M.C., Tang, L., Titov, V.V. 2009. Extracting Tsunami Source Scaling Factors via Inversion of DART Buoy Data. NOAA Tech Memo., Seattle, WA: NOAA.
Tang, L., Chamberlin, C., Tolkova, E., Spillane, M., Titov, V., Bernard, E., Mofjeld, H. 2006. Assessment of potential tsunami impact for Pearl Harbor, Hawaii. NOAA Tech. Memo. OAR PMEL-131, Seattle, WA: NOAA.
Titov, V., González, F. 1997. Implementation and testing of the Method of Splitting Tsunami (MOST) model. NOAA Tech. Memo. ERL PMEL-112 (PB98-122773), NOAA/Pacific Marine Environmental Laboratory, Seattle, WA: NOAA.
Titov, V., González, F., Bernard, E., Eble, M., Mofjeld, H., Newman, J., Venturato, A. 2005. Real-time tsunami forecasting: Challenges and solutions. Natural Hazards, 35(1), Special Issue, U.S. National Tsunami Hazard Mitigation Program, 41–58.
Titov, V., González, F., Mofjeld, H., Venturato, A. 2003. NOAA TIME Seattle Tsunami Mapping Project: Procedures, data sources, and products. NOAA Tech. Memo. OAR PMEL-124, NTIS: PB2004-101635.
van Rossum, G. 2006. Python Tutorial. Python Software Foundation, http://docs.python. org/tut/. Accessed April 28, 2008.
Vance, T.C., Merati, N., Mesick, S., Moore, C.W., Wright, D. 2007. GeoModeler: Tightly linking spatially-explicit models and data with a GIS for analysis and geovisualization. In 15th ACM International Symposium on Advances in Geographic Information Systems (ACM GIS 2007), Seattle, WA, 7–9 November 2007.
Venturato, A.J., Denbo, D.W., McHugh, K.T., Osborne, J.R., Sorvik, P., Moore, C. 2007. NOAA tsunami forecasting system: Using numerical modeling tools to assist in tsunami warning guidance. In 23rd Conference on Interactive Information Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, 87th AMS Annual Meeting, San Antonio, TX, 14–18 January 2007, Paper 3A. 8.
Venturato, A.J., Titov, V., Arcas, D., González, F., Chamberlin, C. 2005. Reducing the impact: U.S. Tsunami forecast modeling and mapping efforts. In ESRI International User Conference Proceedings(UC2471), 25–29 July 2005, San Diego, CA.
Walsh, T.J., Titov, V., Venturato, A., Mofjeld, H., González, F. 2003. Tsunami hazard map of the Elliott Bay area, Seattle, Washington—Modeled tsunami inundation from a Seattle fault earthquake. Washington State Department of Natural Resources Open File Report 2003–14, 1 plate, scale 1:50,000.
Wei, Y. (No Date).Development of the Stand-by Inundation Model (SIM) and its Application in Tsunami Hazard Assessment for Unalaska, Alaska. NOAA Tech. Memo. Seattle, WA: NOAA. In Preparation.
Wong, F.L., Venturato, A.J., Geist, E.L. 2006. Seaside, Oregon, tsunami pilot study—Modernization of FEMA flood hazard maps: GIS Data: U.S. Geological Survey Data Series 236 (http://pubs.usgs.gov/ds/2006/236/).
Zerger, A. 2002. Examining GIS decision utility for natural hazard risk modeling. Environmental Modelling and Software, 17, 287–294.
Zerger, A., Wealands, S. 2004. Beyond modelling: Linking models with GIS for flood risk management. Natural Hazards, 33, 191–208.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer Science+Business Media B.V.
About this chapter
Cite this chapter
Merati, N., Chamberlin, C., Moore, C., Titov, V., Vance, T.C. (2009). Integration of Tsunami Analysis Tools into a GIS Workspace – Research, Modeling, and Hazard Mitigation efforts Within NOAA’s Center for Tsunami Research. In: Showalter, P., Lu, Y. (eds) Geospatial Techniques in Urban Hazard and Disaster Analysis. Geotechnologies and the Environment, vol 2. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2238-7_14
Download citation
DOI: https://doi.org/10.1007/978-90-481-2238-7_14
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-2237-0
Online ISBN: 978-90-481-2238-7
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)