EconPapers    
Economics at your fingertips  
 

Evaluation of the potential of friction surface analysis in modelling hurricane wind damage in an urban environment

Robin Knight () and Fakhar Khalid ()

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2015, vol. 76, issue 2, 911 pages

Abstract: This research considered the use of friction surface analysis as a means of modelling the vulnerability of an urban topography to hurricane wind effects (wind speed force and windborne debris). Isotropic and anisotropic surfaces of Miami, Florida, USA, were derived from tax building age, and LIDAR building height data, to act as a test area for the methodology. The isotropic surface modelled the key vulnerabilities of individual buildings within the study area, whilst the anisotropic surface considered the varying effects due to wind directionality. The results from the model indicate the logical effect of most damage occurring on surfaces that directly face the oncoming wind, and this is only minimised on those surfaces that are sheltered by larger buildings. This directionality effect on results is validated by damage records for actual hurricane events that are recorded in the literature, as well as the patterns observed on Central Miami landmarks after Hurricane Wilma in 2005. These results represent a simplistic GIS approximation of the phenomena in a specific urban environment, which do not take into account more complex factors linked to urban ‘roughness’ and turbulence effects. To model these complexities would require a multidisciplinary approach involving meteorologists and engineers. This research, however, indicates that the vulnerability surface produced by the friction surface analysis has potential as a tool to assess hurricane impact in a selected area which could be of use in implementing mitigation initiatives, disaster recovery planning and assessing financial loss. This represents a deterministic approach, but calibration of the results against building exceedance probability damage curves suggests that this methodology could be correlated with stochastic catastrophe model methodologies. The deterministic nature of the methodology means that it can be used at any location, but the derived friction layers must be carefully considered on a locality-by-locality basis. Copyright Springer Science+Business Media Dordrecht 2015

Keywords: Hurricane; Urban; Vulnerability; Friction surface analysis; GIS; LIDAR (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1007/s11069-014-1527-3 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:76:y:2015:i:2:p:891-911

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-014-1527-3

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:nathaz:v:76:y:2015:i:2:p:891-911