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Andrew J Graettinger

Biographic Data

ID9720939
NAMEAndrew J Graettinger
GIVEN NAMESAndrew J
FAMILY NAMEGraettinger
SIGNATUREGRAETTINGER A J
AFFILIATIONSUniversity of Wisconsin–Milwaukee
ORCID0000-0002-1858-2307
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2020
H-INDEX0
  • Discrete-Outcome Analysis of Tornado Damage Following the 2011 Tuscaloosa, Alabama, Tornado

    Shane Crawford, Alexander M Hainen et al.•ARTICLE•Natural Hazards Review•2020

    Ground-truth measurements of damage caused by natural disasters are routinely used to determine which factors of the natural, built, and social environment contribute to losses from these events. Process-based models, which are based on structural design and probability theory, are often used in engineering risk analysis to predict damage and subsequent losses from these events, but empirical modeling can effectively aid in capturing the partial …

  • Community Resilience-Focused Technical Investigation of the 2016 Lumberton, North Carolina, Flood

    Open Access•John W van de Lindt, Walter Gillis Peacock et al.•ARTICLE•Natural Hazards Review•2020

    In early October 2016, Hurricane Matthew crossed North Carolina as a Category 1 storm, with some areas receiving 0.38–0.46 m (15–18 in.) of rainfall on already saturated soil. The NIST-funded Center for Risk-Based Community Resilience Planning teamed with researchers from NIST’s Engineering Laboratory (Disaster and Failure Studies Program, Community Resilience Group, and the Applied Economics Office) to conduct a field study focused on the impact…

No prominent works on this page.

  • Discrete-Outcome Analysis of Tornado Damage Following the 2011 Tuscaloosa, Alabama, Tornado

    Shane Crawford, Alexander M Hainen et al.•ARTICLE•Natural Hazards Review•2020

    Ground-truth measurements of damage caused by natural disasters are routinely used to determine which factors of the natural, built, and social environment contribute to losses from these events. Process-based models, which are based on structural design and probability theory, are often used in engineering risk analysis to predict damage and subsequent losses from these events, but empirical modeling can effectively aid in capturing the partial …

  • Community Resilience-Focused Technical Investigation of the 2016 Lumberton, North Carolina, Flood

    Open Access•John W van de Lindt, Walter Gillis Peacock et al.•ARTICLE•Natural Hazards Review•2020

    In early October 2016, Hurricane Matthew crossed North Carolina as a Category 1 storm, with some areas receiving 0.38–0.46 m (15–18 in.) of rainfall on already saturated soil. The NIST-funded Center for Risk-Based Community Resilience Planning teamed with researchers from NIST’s Engineering Laboratory (Disaster and Failure Studies Program, Community Resilience Group, and the Applied Economics Office) to conduct a field study focused on the impact…

Engineering (2 works) · Environmental Science (2 works) · Flood Risk Assessment and Management (2 works) · Geography (2 works) · Built environment (1 work) · Civil engineering (1 work) · Community resilience (1 work) · Computer Science (1 work) · Disaster Management and Resilience (1 work) · Environmental planning (1 work)

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