Literature DB >> 25870283

Community clusters of tsunami vulnerability in the US Pacific Northwest.

Nathan J Wood1, Jeanne Jones2, Seth Spielman3, Mathew C Schmidtlein4.   

Abstract

Many coastal communities throughout the world are threatened by local (or near-field) tsunamis that could inundate low-lying areas in a matter of minutes after generation. Although the hazard and sustainability literature often frames vulnerability conceptually as a multidimensional issue involving exposure, sensitivity, and resilience to a hazard, assessments often focus on one element or do not recognize the hazard context. We introduce an analytical framework for describing variations in population vulnerability to tsunami hazards that integrates (i) geospatial approaches to identify the number and characteristics of people in hazard zones, (ii) anisotropic path distance models to estimate evacuation travel times to safety, and (iii) cluster analysis to classify communities with similar vulnerability. We demonstrate this approach by classifying 49 incorporated cities, 7 tribal reservations, and 17 counties from northern California to northern Washington that are directly threatened by tsunami waves associated with a Cascadia subduction zone earthquake. Results suggest three primary community groups: (i) relatively low numbers of exposed populations with varied demographic sensitivities, (ii) high numbers of exposed populations but sufficient time to evacuate before wave arrival, and (iii) moderate numbers of exposed populations but insufficient time to evacuate. Results can be used to enhance general hazard-awareness efforts with targeted interventions, such as education and outreach tailored to local demographics, evacuation training, and/or vertical evacuation refuges.

Entities:  

Keywords:  disaster; evacuation; hazard; tsunami; vulnerability

Year:  2015        PMID: 25870283      PMCID: PMC4418905          DOI: 10.1073/pnas.1420309112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  2 in total

1.  Terrain coefficients for energy cost prediction.

Authors:  R G Soule; R F Goldman
Journal:  J Appl Physiol       Date:  1972-05       Impact factor: 3.531

Review 2.  A framework for vulnerability analysis in sustainability science.

Authors:  B L Turner; Roger E Kasperson; Pamela A Matson; James J McCarthy; Robert W Corell; Lindsey Christensen; Noelle Eckley; Jeanne X Kasperson; Amy Luers; Marybeth L Martello; Colin Polsky; Alexander Pulsipher; Andrew Schiller
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-05       Impact factor: 12.779

  2 in total

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