Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

David B Roueche

Biographic Data

ID9720312
NAMEDavid B Roueche
GIVEN NAMESDavid B
FAMILY NAMERoueche
SIGNATUREROUECHE D B
AFFILIATIONSAuburn University
ORCID0000-0002-4329-6759
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Damage Assessment of the 2020 Monroe, Louisiana, Tornado Using Different Remote-Sensing Methods and Enhanced Fujita Scales

    Ali Merhi, Tanya M Brown-Giammanco et al.•ARTICLE•Natural Hazards Review•2026

  • A Unified Multievent Windstorm Performance Testbed for Single-Family Residential Buildings

    Open Access•David B Roueche, Jordan O Nakayama et al.•ARTICLE•Natural Hazards Review•2024

    Recent advancements in technology and infrastructure have greatly improved the capabilities of the natural hazards community to collect robust samples of building performance following hazard events and make them available to the research community for broad reuse purposes. Yet, there lacks standardized, open access data sets that combine reconnaissance data from multiple individual hazard events into unified, living testbeds that can grow throug…

  • Unpacking Tornado Disasters

    Stephen M Strader, David B Roueche et al.•ARTICLE•Natural Hazards Review•2021

    This study illustrates and describes how Southeast US tornado disasters commonly unfold by examining the 2019 Beauregard-Smith Station, Alabama, tornado event from spatiotemporal and structural engineering standpoints. Findings indicate that although the meteorological forecasts leading up to the tornado event were accurate and timely, 23 individuals—19 in manufactured homes—still perished. All fatalities were primarily a result of the lack of po…

  • Structural Forces

    Open Access•Kevin D Ash, Michael J Egnoto et al.•ARTICLE•Weather, Climate, and Society•2020

    Southeastern U.S. mobile and manufactured housing (MH) residents are the most tornado-vulnerable subset of the population because of both physical and socioeconomic factors. This study builds upon prior MH resident tornado vulnerability research by statistically and geographically analyzing responses from a survey administered to these residents in the Southeast. Specifically, 257 Alabama and Mississippi MH residents were administered a survey wi…

No prominent works on this page.

  • Structural Forces

    Open Access•Kevin D Ash, Michael J Egnoto et al.•ARTICLE•Weather, Climate, and Society•2020

    Southeastern U.S. mobile and manufactured housing (MH) residents are the most tornado-vulnerable subset of the population because of both physical and socioeconomic factors. This study builds upon prior MH resident tornado vulnerability research by statistically and geographically analyzing responses from a survey administered to these residents in the Southeast. Specifically, 257 Alabama and Mississippi MH residents were administered a survey wi…

  • Unpacking Tornado Disasters

    Stephen M Strader, David B Roueche et al.•ARTICLE•Natural Hazards Review•2021

    This study illustrates and describes how Southeast US tornado disasters commonly unfold by examining the 2019 Beauregard-Smith Station, Alabama, tornado event from spatiotemporal and structural engineering standpoints. Findings indicate that although the meteorological forecasts leading up to the tornado event were accurate and timely, 23 individuals—19 in manufactured homes—still perished. All fatalities were primarily a result of the lack of po…

  • A Unified Multievent Windstorm Performance Testbed for Single-Family Residential Buildings

    Open Access•David B Roueche, Jordan O Nakayama et al.•ARTICLE•Natural Hazards Review•2024

    Recent advancements in technology and infrastructure have greatly improved the capabilities of the natural hazards community to collect robust samples of building performance following hazard events and make them available to the research community for broad reuse purposes. Yet, there lacks standardized, open access data sets that combine reconnaissance data from multiple individual hazard events into unified, living testbeds that can grow throug…

  • Damage Assessment of the 2020 Monroe, Louisiana, Tornado Using Different Remote-Sensing Methods and Enhanced Fujita Scales

    Ali Merhi, Tanya M Brown-Giammanco et al.•ARTICLE•Natural Hazards Review•2026

Geography (3 works) · Tornado (3 works) · Tropical and Extratropical Cyclones Research (3 works) · Engineering (2 works) · Meteorological Phenomena and Simulations (2 works) · Meteorology (2 works) · Wind and Air Flow Studies (2 works) · Civil engineering (1 work) · Computer Science (1 work) · Computer security (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae