T49 Geoscience for the Public Good: Toward a Sustainable Future (Posters)
Sunday, 19 October 2014
9:00 AM - 5:00 PM
Exhibition Hall C
THE IMPORTANCE OF GEOSPATIAL REFERENCING FOR URBAN SUPPLY CHAIN INFRASTRUCTURE DATA TO LARGE-SCALE DISASTER RESTORATION MODELING
Paper number: T49-3
Program: Technical Sessions
Time: 9:00 AM – 5:00 PM
Authors
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Tom ShobergU. S. Geological Survey, Rolla, MO
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Varun RamachandranMissouri University of Science and Technology, Rolla, MO
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Steven M. CornsMissouri University of Science and Technology, Rolla, MO
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Hector J. CarloUniversity of Puerto Rico Mayaguez, Mayaguez, PR
Abstract
Supply chain interdependent critical infrastructure (SCICI) modeling after a large scale disaster must account for complex, multi-scale, and multi-dimensional characteristics of infrastructures and the interdependence between these infrastructures. To understand these complexities and interdependencies, a rich set of infrastructure and supply chain data are required. The bulk of these data must be geospatially located. Large-scale data layers, including The National Map of the U.S. Geological Survey, serve as the base structure for geo-referencing SCICI data. This work focuses on the acquisition and integration of urban infrastructure data for the metropolitan St. Louis, Missouri area. Locating these data geospatially permits the development of a robust methodology for modeling complexity in the restoration of SCICI in the wake of a disaster.