Analysis of rapid damage assessment data following severe windstorm events

Smith, Daniel J., Krupar, Richard J., Henderson, David J. and Mason, Matthew S. (2017) Analysis of rapid damage assessment data following severe windstorm events. Australian Journal of Emergency Management, 32 4: 52-57.

Author Smith, Daniel J.
Krupar, Richard J.
Henderson, David J.
Mason, Matthew S.
Title Analysis of rapid damage assessment data following severe windstorm events
Journal name Australian Journal of Emergency Management
ISSN 1324-1540
2204-2288
Publication date 2017-10-01
Sub-type Article (original research)
Open Access Status Not yet assessed
Volume 32
Issue 4
Start page 52
End page 57
Total pages 6
Place of publication Barton, ACT Australia
Publisher Emergency Management Australia
Language eng
Subject 3604 Emergency Medical Services
3601 Health Professions (miscellaneous)
3311 Safety Research
Abstract The Cyclone Testing Station (CTS) and partners have conducted forensic damage assessments in Australia following severe windstorm events for over four decades. The information collected is used for building science research that provides the evidence base needed for improvements to building codes and development of damage mitigation solutions. The Queensland Fire and Emergency Services (QFES) operate Rapid Damage Assessment (RDA) teams in the aftermath of major disasters (e.g. cyclone and bushfire) to collect and disseminate information on extent of damage to buildings in impacted communities. These data enables focused and coordinated response in the immediate aftermath of an event and better planning for event recovery. This paper explores the use of QFES RDA datasets in analysing the damaging effects of severe windstorm events. Two case studies are discussed: a supercell that hit Brisbane on 27 November 2014 and Tropical Cyclone Debbie that made landfall along the northern Queensland coastline in March 2017. Where possible, damage data are combined with hazard information (dual-Doppler radar horizontal wind fields) and their relationship is investigated. The analysis demonstrates that RDA data are not only useful in response and recovery phases, but also have value for research aiming to better understand building failures and reduce damage in future events.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Civil Engineering Publications
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Created: Fri, 13 Apr 2018, 11:40:58 EST