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Beat-the-wave evacuation mapping for tsunami hazards in Seaside, Oregon, USA

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A Correction to this article was published on 11 January 2018

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Abstract

Previous pedestrian evacuation modeling for tsunamis has not considered variable wave arrival times or critical junctures (e.g., bridges), and did not effectively communicate multiple evacuee travel speeds. We summarize an approach that identifies evacuation corridors, recognizes variable wave arrival times, and produces a map of minimum pedestrian travel speeds to reach safety, termed a “beat-the-wave” (BTW) evacuation analysis. We demonstrate the improved approach by evaluating difficulty of pedestrian evacuation of Seaside, Oregon, for a local tsunami generated by a Cascadia subduction zone earthquake. We establish evacuation paths by calculating the least-cost distance (LCD) to safety for every grid cell in a tsunami hazard zone using geospatial, anisotropic path distance algorithms. Minimum BTW speed to safety on LCD paths is calculated for every grid cell by dividing surface distance from that cell to safety by the tsunami arrival time at safety. We evaluated three scenarios of evacuation difficulty: (1) all bridges are intact with a 5-min evacuation delay from the start of earthquake, (2) only retrofitted bridges are considered intact with a 5-min delay, and (3) only retrofitted bridges are considered intact with a 10-min delay. BTW maps also take into account critical evacuation points along complex shorelines (e.g., peninsulas, bridges over shore-parallel estuaries) where evacuees could be caught by tsunami waves. The BTW map is able to communicate multiple pedestrian travel speeds, which are typically visualized by multiple maps with current LCD-based mapping practices. Results demonstrate that evacuation of Seaside is problematic seaward of the shore-parallel waterways for those with any limitations on mobility. Tsunami vertical evacuation refuges or additional pedestrian bridges may be effective ways of reducing loss of life seaward of these waterways.

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Change history

  • 11 January 2018

    Due to a procedural error in construction of Figs. 8 and 9, listed minimum speeds to beat the tsunami wave in areas of Seaside seaward of Neawanna Creek are too high. The two figures should be replaced by the new figures below.

Abbreviations

BTW:

Beat-the-wave

CSZ:

Cascadia subduction zone

DOGAMI:

Oregon Department of Geology and Mineral Industries

NOAA:

National Oceanic and Atmospheric Administration

References

  • California Geological Survey (2015) CGS tsunami web site: California Geological Survey. http://www.conservation.ca.gov/cgs/geologic_hazards/Tsunami/Inundation_Maps/Pages/Index.aspx. Accessed 4 Apr 2015

  • Connor D (2005) The City of Seaside’s Tsunami Awareness Program: outreach assessment—how to implement an effective tsunami preparedness outreach program, Oregon Department of Geology and Mineral Industries Open-File Report O-05-10

  • Fraser SA, Wood NJ, Johnston DM, Leonard GS, Greening PD, Rossetto T (2014) Variable population exposure and distributed travel speeds in least-cost tsunami evacuation modelling. Nat Hazards Earth Syst Sci 14(11):2975–2991

    Article  Google Scholar 

  • Gonzalez FI, Geist EL, Jaffe B, Kanoglu U, Mofjeld H, Synolakis CE, Titov EE, Arcas D, Bellomo D, Carlton D, Horning T, Johnson J, Newman J, Parson T, Peters R, Peterson C, Priest G, Venturato A, Weber J, Wong F, Yalciner A (2009) Probabilistic tsunami hazard assessment at Seaside, Oregon, for near-and far-field seismic sources. J Geophys Res 114:1–19

    Article  Google Scholar 

  • Imhof E (1950) Gelände und Karte. Eugen Rentsch Verlag, Erlenbach

    Google Scholar 

  • Johnstone W, Lence B (2012) Use of flood, loss, and evacuation models to assess exposure and improve a community tsunami response plan—Vancouver Island. Nat Hazards Rev 13(2):162–171

    Article  Google Scholar 

  • Jonkmann S, Vrijling J, Vrouwenvelder A (2008) Methods for the estimation of loss of life due to floods: a literature review and a proposal for a new method. Nat Hazards 46:353–389

    Article  Google Scholar 

  • Laghi M, Cavalletti A, Polo P (2006) Evacuation routes tools ArcGIS toolbox user’s manual. Italian Ministry for the Environment and the Territory and Asian Disaster Preparedness Center. http://www.adpc.net/v2007/Downloads/2007/May/EVACUATION%20ROUTES%20TOOLS%20A5_for_print.pdf. Accessed 16 July 2010

  • Langlois JA, Keyl PM, Guralnik JM, Foley DJ, Marottoli RA, Wallace RB (1997) Characteristics of older pedestrians who have difficulty crossing the street. Am J Public Health 87(3):393–397

    Article  Google Scholar 

  • Madin IP, Wang Z (1999) Relative earthquake hazard maps for selected urban areas in western Oregon. Oregon Department of Geology and Mineral Industries IMS-10

  • Margaria R (1938) Sulla fisiologia e specialmente sul consume energetico della marcia e della corsa a varie velocita ed inclinazioni del terreno. Atti Accad Naz Lincei Memorie, pp 299–368. Cited in Biomechanics and Energetics of Muscular Exercise (1976). Clarendon Press, Oxford, pp 69–75

  • Margaria R (1976) Biomechanics and energetics of muscular exercise. Clarendon Press, Oxford

    Google Scholar 

  • Mas E, Adriano B, Koshimura S (2013) An integrated simulation of tsunami hazard and human evacuation in La Punta, Peru. J Disaster Res 8:285–295

    Article  Google Scholar 

  • National Agriculture Imagery Program (2009) 1 meter Clatsop County MrSID Mosaic. USDA/FSA—Aerial Photography Field Office, Salt Lake City, UT

  • National Geophysical Data Center/World Data Service for Geophysics (2015) Global historical tsunami database. www.ngdc.noaa.gov/hazard/tsu_db.shtml. Accessed 1 Apr 2015

  • Oregon Department of Geology and Mineral Industries (2013) Tsunami evacuation map Seaside & Gearhart, Oregon. Oregon Department of Geology and Mineral Industries. http://www.oregongeology.org/pubs/tsubrochures/SeasideGearhartEvacBrochure-6-3-13_onscreen.pdf. Accessed 10 Oct 2014

  • Paul S (2013) What are the right walking and running speeds? Runner’s World. http://www.runnersworld.com/beginners/what-are-right-walking-and-running-speeds. Accessed 17 Apr 2015

  • Peterson GN (2014) GIS cartography: a guide to effective map design, 2nd edn. CRC Press, Boca Raton, p 106

    Google Scholar 

  • Priest GR, Goldfinger C, Wang K, Witter RC, Zhang Y, Baptista AM (2009) Tsunami hazard assessment of the Northern Oregon coast: a multi-deterministic approach tested at Cannon Beach, Clatsop County, Oregon. Oregon Department of Geology and Mineral Industries Special Paper 41

  • Priest GR, Witter, RC, Zhang Y, Wang K, Goldfinger C, Stimely LL, English JT, Pickner SG, Hughes KLB, Wille TE, Smith RL (2013a) Tsunami animations, time histories, and digital point data for flow depth, elevation, and velocity for the Clatsop Project Area, Clatsop County, Oregon. Oregon Department of Geology and Mineral Open-File Report O-13-18

  • Priest GR, Witter RC, Zhang Y, Wang K, Goldfinger C, Stimely LL, English JT, Pickner SG, Hughes KLB, Wille TE, Smith RL (2013b) Tsunami inundation scenarios for Oregon. Oregon Department of Geology and Mineral Industries Open-File Report O-13-19

  • Priest GR, Watzig RJ, Madin IP, Stimely L (2015) Local tsunami evacuation analysis of Seaside and Gearhart, Clatsop County, Oregon. Oregon Department of Geology and Mineral Industries Open-File Report O-15-02

  • Soule RG, Goldman RF (1972) Terrain coefficients for energy cost prediction. J Appl Physiol 32(5):706–708

    Article  Google Scholar 

  • Tobler W (1993) Three presentations on geographical analysis and modeling; 1) non-isotropic geographic modeling, 2) Speculations on the geometry of geography, 3) global spatial analysis. University of California Santa Barbara, National Center for Geographic Information and Analysis Technical Report 93-1

  • US Census Bureau (2015) American FactFinder. http://factfinder2.census.gov/faces/nav/jsf/pages/index.xhtml. Accessed 1 Apr 2015

  • U.S. Geological Survey (USGS) (2012) The March 11 Tohoku earthquake, one year later. What have we learned? USGS, science features blog post, March 9, 2012. http://www.usgs.gov/blogs/features/usgs_top_story/the-march-11-tohoku-earthquake-one-year-later-what-have-we-learned/. Accessed 9 Sept 2014

  • Watershed Sciences (2009) LIDAR remote sensing data collection. http://www.oregongeology.org/sub/projects/olc/watershedsci/North_Coast_Lidar_Report_2009.pdf. Accessed 1 Aug 2014

  • Wilson RI, Miller KM (2014) FASTER tsunami height calculation: background information and guidance for use. California Geological Survey Special Report 236

  • Wilson RI, Barberopoulou A, Miller KM, Goltz JD, Synolakis CE (2008) New maximum tsunami inundation maps for use by local emergency planners in the State of California, USA. EOS Trans Am Geophys Union 89(53) Fall Meeting Supplement, Abstract OS43D-1343

  • Witter RC, Zhang YJ, Wang K, Priest GR, Goldfinger C, Stimely L, English JT, Ferro PA (2011) Simulating tsunami inundation at Bandon, Coos County, Oregon, using hypothetical Cascadia and Alaska earthquake scenarios. Oregon Department of Geology and Mineral Industries Special Paper 43

  • Wood N (2007) Variations in community exposure and sensitivity to tsunami hazards in Oregon. US Geological Survey Scientific Investigations Report 2007-5283, Reston

  • Wood N, Schmidtlein M (2012) Anisotropic path modeling to assess pedestrian-evacuation potential from Cascadia-related tsunamis in the U.S. Pacific Northwest. Nat Hazards 62(2):275–300

    Article  Google Scholar 

  • Wood N, Schmidtlein M (2013) Community variations in population exposure to near-field tsunami hazards as a function of pedestrian travel time to safety. Nat Hazards 65(3):1603–1628

    Article  Google Scholar 

  • Wood N, Jones J, Spielman S, Schmidtlein M (2015) Community clusters of tsunami vulnerability in the US Pacific Northwest. Proc Natl Acad Sci. doi:10.1073/pnas.1420309112

    Google Scholar 

  • Yeh H, Fiez T, Karon J (2009) A comprehensive tsunami simulator for Long Beach Peninsula. Phase 1: framework development. Wash State Military Department 27, Tacoma

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Acknowledgements

This project was funded under award #NA13NWS4670013 by the National Oceanic and Atmospheric Administration (NOAA) through the National Tsunami Hazard Mitigation Program and by the US Geological Survey Land Change Science Program. We thank Mara Tongue and Jeanne Jones of the USGS, Mathew Schmidtlein of California State University Sacramento and two anonymous reviewers for their insightful reviews of the manuscript. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the US government.

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Correspondence to George R. Priest.

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A correction to this article is available online at https://doi.org/10.1007/s11069-017-3154-2.

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Priest, G.R., Stimely, L.L., Wood, N.J. et al. Beat-the-wave evacuation mapping for tsunami hazards in Seaside, Oregon, USA. Nat Hazards 80, 1031–1056 (2016). https://doi.org/10.1007/s11069-015-2011-4

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