Understanding the January 2011 Queensland flood: the role of geographic interdependency in flood risk assessment for urban community

Espada Jr., Rodolfo and Apan, Armando and McDougall, Kevin (2013) Understanding the January 2011 Queensland flood: the role of geographic interdependency in flood risk assessment for urban community. In: Australian and New Zealand Disaster and Emergency Management Conference (ANZDMC 2013): Earth: Fire and Rain, 28-30 May 2013, Brisbane, Australia.

[img] Text (Published Version (Password: disaster13))
ANZDEMC_Conference_Proceedings.pdf

Download (8Mb)

Abstract

The aim of this study was to develop a new analytical approach of flood risk assessment in an urban area based on the concepts of geographic interdependency and spatial autocorrelation. This study focused on the January 2011 flood in Queensland (Australia) with core suburbs of Brisbane City as the study area. Urban morphological characterisation, point distance analysis, and collective events analysis were implemented to transform or standardise geographic features representing infrastructures such as building properties, emergency facilities, and flood-damaged electricity assets within buildings during the January 2011 flood. The global Moran's I and the Anselin Local Moran's I were the spatial autocorrelation techniques operationalised to simulate and analyse the geographic interdependency of the identified geographic features. The modified fuzzy gamma overlay operation was then used to integrate the generated risk components indicators (i.e. hazard, vulnerability, and exposure) to model the flood risk to urban community. Results of the analysis showed that the global Moran's I and Anselin Local Moran's I can simulate geographic interdependency of infrastructures for flood risk assessment in an urban community. Thirty three per cent (33%) (about 750 ha) and 25% (about 570 ha) of the study area were highly and very highly at risk and/or impacted, respectively, by the January 2011 flood at 95% level of confidence. This study produced spatially explicit analytical techniques that will enhance the spatial context of and benefit disaster risk management as tools for improving flood risk mapping and improving information for flood risk awareness. Furthermore, the tool can also help in identifying areas for detention basins for flood control, locating additional emergency and disaster assistance centres in priority flood risk areas, establishing early warning system in areas with high and very high flood risks, and improving preparedness, mitigation, response, and recovery plans.


Statistics for USQ ePrint 23768
Statistics for this ePrint Item
Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - No Department
Date Deposited: 07 Aug 2013 00:22
Last Modified: 14 Sep 2014 23:31
Uncontrolled Keywords: flood risk assessment; geographic information system; geographic interdependency modelling; spatial autocorrelation; urban morphology characterisation
Fields of Research : 04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040604 Natural Hazards
08 Information and Computing Sciences > 0806 Information Systems > 080606 Global Information Systems
12 Built Environment and Design > 1205 Urban and Regional Planning > 120599 Urban and Regional Planning not elsewhere classified
Socio-Economic Objective: D Environment > 96 Environment > 9610 Natural Hazards > 961010 Natural Hazards in Urban and Industrial Environments
URI: http://eprints.usq.edu.au/id/eprint/23768

Actions (login required)

View Item Archive Repository Staff Only