View Item 

Show simple item record

Hurricane Isaac: A Longitudinal Analysis of Storm Characteristics and Power Outage Risk
dc.contributor.authorTonn, Gina L.
dc.contributor.authorGuikema, Seth D.
dc.contributor.authorFerreira, Celso M.
dc.contributor.authorQuiring, Steven M.
dc.date.accessioned2017-01-06T20:46:55Z
dc.date.available2017-12-01T21:54:12Zen
dc.date.issued2016-10
dc.identifier.citationTonn, Gina L.; Guikema, Seth D.; Ferreira, Celso M.; Quiring, Steven M. (2016). "Hurricane Isaac: A Longitudinal Analysis of Storm Characteristics and Power Outage Risk." Risk Analysis 36(10): 1936-1947.
dc.identifier.issn0272-4332
dc.identifier.issn1539-6924
dc.identifier.urihttps://hdl.handle.net/2027.42/134864
dc.publisherSpringer
dc.publisherWiley Periodicals, Inc.
dc.subject.otherrandom forest
dc.subject.otherpower outages
dc.subject.otherHurricanes
dc.titleHurricane Isaac: A Longitudinal Analysis of Storm Characteristics and Power Outage Risk
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelBusiness (General)
dc.subject.hlbtoplevelBusiness and Economics
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/134864/1/risa12552_am.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/134864/2/risa12552.pdf
dc.identifier.doi10.1111/risa.12552
dc.identifier.sourceRisk Analysis
dc.identifier.citedreferenceUS Census Bureau. American Community Survey, 2013. Available at: http://www.census.gov/acs/www, Accessed July 7, 2013.
dc.identifier.citedreferenceGuikema S, Nateghi R, Quiring S. Predicting infrastructure loss of service from natural hazards with statistical models: Experiences and advances with hurricane power outage prediction. Proceedings ESREL, 2013.
dc.identifier.citedreferenceEntergy. Entergy View Outages, 2012. Available at: http://www.entergy.com/storm_center/outages.aspx, Accessed August 27–September 5, 2012.
dc.identifier.citedreferenceNOAA. National Climatic Data Center (NCDC), 2012. Available at: http://www.ncdc.noaa.gov, Accessed November 16, 2012.
dc.identifier.citedreferenceDietrich JC, Zijlema M, Westerink JJ, Holthuijsen LH, Dawson C, Luettich RA, Jensen R, Smith JM, Stelling GS, Stone GW. Modeling hurricane waves and storm surge using integrally‐coupled, scalable computations. Coastal Engineering, 2011; 58 ( 1 ): 45 – 65.
dc.identifier.citedreferenceLuettich R, Westerink J. Formulation and numerical implementation of a 2D/3D ADCIRC Finite Element Model Version 4.46, 2010. Available at: http://adcirc.org/adcirc_theory_2004_12_08.pdf, Accessed November 13, 2010.
dc.identifier.citedreferenceFerreira CM, Irish J, Olivera F. Uncertainty in hurricane surge simulation due to land cover specification. Journal of Geophysical Research: Oceans, 119 ( 3 ): 1812 – 1827.
dc.identifier.citedreferenceBooij N, Ris RC, Holthuijsen LH. A third generation wave model for coastal regions. Model description and validation. Journal of Geophysical Research, 1999; 104 ( C4 ): 649 – 7666.
dc.identifier.citedreferenceBunya S, Dietrich J, Westerink J, Ebersole B, Smith J, Atkinson J, Jensen R, Resio D, Luettich R, Dawson C, Cardone V, Cox A, Powell M, Westerink J, Roberts H. A high‐resolution coupled riverine flow, tide, wind, wind wave, and storm surge model for southern Louisiana and Mississippi. Part I: Model development and validation. Monthly Weather Review, 2010; 138 ( 2 ): 345 – 377.
dc.identifier.citedreferenceDietrich J, Bunya S, Westerink J, Ebersole B, Smith J, Atkinson J, Jensen R, Resio D, Luettich R, Dawson C, Cardone V, Cox A, Powell M, Westerink J, Roberts H. A high‐resolution coupled riverine flow, tide, wind, wind wave, and storm surge model for southern Louisiana and Mississippi. Part II: Synoptic description and analysis of Hurricanes Katrina and Rita. Monthly Weather Review, 2010; 138 ( 2 ): 378 – 404.
dc.identifier.citedreferenceMattocks C, Forbes C. A real‐time, event‐triggered storm surge forecasting system for the state of North Carolina. Ocean Modelling, 2008; 25 ( 3 ): 95 – 119.
dc.identifier.citedreferenceNOAA. Atlantic basin hurricane database (HURDAT), 2013. Available at: http://www.aoml.noaa.gov/hrd/hurdat/, Accessed July 8, 2013.
dc.identifier.citedreferenceWilloughby HE, Darling RWR, Rahn ME. Parametric representation of the primary hurricane vortex. Part II: A new family of sectionally continuous profiles. Monthly Weather Review, 2006; 134 ( 4 ): 1102 – 1120.
dc.identifier.citedreferenceHan S, Guikema S, Quiring S, Lee KH, Rosowsky D, Davidson R. Estimating the spatial distribution of power outages during hurricanes in the Gulf Coast region. Reliability Engineering & System Safety, 2009; 94 ( 2 ): 199 – 210.
dc.identifier.citedreferenceHastie T, Tibshirani R, Friedman J. The elements of statistical learning: Data mining. P. 763 in Inference and Prediction, 1st ed. New York: Springer, 2001.
dc.identifier.citedreferenceLiaw A, Wiener M. Classification and regression by randomForest. R News, 2002; 2 ( 3 ): 18 – 22.
dc.identifier.citedreferenceMeinshausen N. Quantile regression forests. Journal of Machine Learning Research, 2006; 7: 983 – 999.
dc.identifier.citedreferenceMeinshausen N. quantregForest: Quantile regression forests. R package version 0. 2 – 3, 2012.
dc.identifier.citedreferenceGuikema SD, Udo I, Irish J, Nateghi R. The effects of hurricane surge in power system outage risk models. Submitted to Natural Hazards [under first review], 2014.
dc.identifier.citedreferenceQuiring S, Zhu L, Guikema S. Importance of soil and elevation characteristics for modeling power system outages due to hurricanes. Natural Hazards, 2011; 58 ( 1 ): 365 – 390.
dc.identifier.citedreferenceUPDATE 1—Entergy estimates Hurricane Isaac damage at $500 mln. Chicago Tribune, September 18, 2012.
dc.identifier.citedreferenceNHC. NHC GIS Archive — Tropical Cyclone Best Track, 2015. Available at: http://www.nhc.noaa.gov/gis/archive_besttrack_results.php. Accessed January 6, 2015.
dc.identifier.citedreferenceHan S, Guikema S, Quiring S. Improving the predictive accuracy of hurricane power outage forecasts using generalized additive models. Risk Analysis, 2009; 29 ( 10 ): 1443 – 1453.
dc.identifier.citedreferenceNateghi R, Guikema S, Quiring S. Power outage estimation for tropical cyclones: Improved accuracy with simpler models. Risk Analysis, 2014; 34 ( 6 ): 1069 – 1078.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Name:
risa12552_am.pdf
Size:
1.389MB
Format:
PDF
View/Open
Name:
risa12552.pdf
Size:
958.5KB
Format:
PDF
View/Open

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.