Data Management for Geospatial Vulnerability Assessment of Interdependencies in U.S. Power Generation

Data Management for Geospatial Vulnerability Assessment of Interdependencies in U.S. Power Generation

Critical infrastructures maintain our society’s stability, security, and quality of life. These systems are also interdependent, which means that the disruption of one infrastructure system can significantly impact the operation of other systems. Because of the heavy reliance on electricity producti...

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Bibliographic Details
Published in:Journal of infrastructure systems Vol. 15; no. 3; pp. 179 - 189
Main Authors: Shih, Chung Yan, Scown, Corinne D, Soibelman, Lucio, Matthews, H. Scott, Garrett, James H, Dodrill, Keith, McSurdy, Sandra
Format: Journal Article
Language:English
Published: Reston, VA American Society of Civil Engineers 01-09-2009
Subjects:
01 COAL, LIGNITE, AND PEAT
Applied sciences
Buildings. Public works
COAL MINES
Computation methods. Tables. Charts
Dams and subsidiary installations
EARTHQUAKES
Exact sciences and technology
FOSSIL-FUEL POWER PLANTS
GEOGRAPHIC INFORMATION SYSTEMS
Hydraulic constructions
RAIL TRANSPORT
Structural analysis. Stresses
TECHNICAL PAPERS
TRANSPORTATION SYSTEMS
USA
VULNERABILITY
United States
North America
America
USA
Spain, Castilla, Madrid
System evaluation
Script
Data analysis
Electric power plant
Prototype
Assessment
Electric power supply
Spatial analysis
Vulnerability
Hazards
Risk analysis
Data mining
Security
Spatial data
Geographic information system
Infrastructure
Safety
Application
Data warehouse
Geographic information systems
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Summary:Critical infrastructures maintain our society’s stability, security, and quality of life. These systems are also interdependent, which means that the disruption of one infrastructure system can significantly impact the operation of other systems. Because of the heavy reliance on electricity production, it is important to assess possible vulnerabilities. Determining the source of these vulnerabilities can provide insight for risk management and emergency response efforts. This research uses data warehousing and visualization techniques to explore the interdependencies between coal mines, rail transportation, and electric power plants. By merging geospatial and nonspatial data, we are able to model the potential impacts of a disruption to one or more mines, rail lines, or power plants, and visually display the results using a geographical information system. A scenario involving a severe earthquake in the New Madrid Seismic Zone is used to demonstrate the capabilities of the model when given input in the form of a potentially impacted area. This type of interactive analysis can help decision makers to understand the vulnerabilities of the coal distribution network and the potential impact it can have on electricity production.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1076-0342
1943-555X
DOI:10.1061/(ASCE)1076-0342(2009)15:3(179)