JDR Vol.11 No.4 pp. 624-633
doi: 10.20965/jdr.2016.p0624


Performance-Based Tsunami Engineering via a Web-Based GIS Data Explorer

Dylan Keon*,†, Cherri M. Pancake**, Ben Steinberg*, and Harry Yeh***

*Northwest Alliance for Computational Science and Engineering, Oregon State University
2007 Kelley Engineering Center, Oregon State University, Corvallis, OR 97331, USA

Corresponding author,

**School of Electrical Engineering and Computer Science, Oregon State University, USA

***School of Civil and Construction Engineering, Oregon State University, USA

January 5, 2016
May 19, 2016
August 1, 2016
tsunami, web-based, GIS, prediction, sensitivity analysis
In spite of advances in numerical modeling and computer power, coastal buildings and infrastructures are still designed and evaluated for tsunami hazards based on parametric criteria with engineering “conservatism,” largely because complex numerical simulations require time and resources in order to obtain adequate results with sufficient resolution. This is especially challenging when conducting multiple scenarios across a variety of probabilistic occurrences of tsunamis. Numerical computations that have high temporal and spatial resolution also yield extremely large datasets, which are necessary for quantifying uncertainties associated with tsunami hazard evaluation. Here, we introduce a new web-based tool, the Data Explorer, which facilitates the exploration and extraction of numerical tsunami simulation data. The underlying concepts are not new, but the Data Explorer is unique in its ability to retrieve time series data from massive output datasets in less than a second, the fact that it runs in a standard web browser, and its user-centric approach. To demonstrate the tool’s performance and utility, two examples of hypothetical cases are presented. Its usability, together with essentially instantaneous retrieval of data, makes simulation-based analysis and subsequent quantification of uncertainties accessible, enabling a path to future design decisions based on science, rather than relying solely on expert judgment.
Cite this article as:
D. Keon, C. Pancake, B. Steinberg, and H. Yeh, “Performance-Based Tsunami Engineering via a Web-Based GIS Data Explorer,” J. Disaster Res., Vol.11 No.4, pp. 624-633, 2016.
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