Spatial modelling of adaptation strategies for urban built infrastructures exposed to flood hazards

Espada Jr., Rodolfo and Apan, Armando and McDougall, Kevin (2012) Spatial modelling of adaptation strategies for urban built infrastructures exposed to flood hazards. In: Queensland Surveying and Spatial Conference: The Future of Surveying and Spatial Science is Open (QSSC 2012), 13-14 Sep 2012, Brisbane, Australia.

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Abstract

The recent 2010/2011 floods in the central and southern Queensland (Australia) prompted this research to investigate the application of geographical information system (GIS) and remote sensing in modelling the current flood risk, adaptation/coping capacity, and adaptation strategies. Identified Brisbane City as the study area, the study aimed to develop a new approach of formulating adaptation/coping strategies that will aid in addressing flood risk management issues of an urban area with intensive residential and commercial uses. Fuzzy logic was the spatial analytical tool used in the integration of flood risk components (hazard, vulnerability, and exposure) and in the generation of flood risk and adaptation capacity indices. The research shows that 875 ha, 566 ha, and 828 ha were described as areas with relatively low, relatively moderate, and relatively high risk to flooding, respectively. Identified adaptation strategies for areas classified as having relatively low (RL), relatively moderate (RM), relatively high (RH), and likely very high (LVH) adaptation/coping capacity were mitigation to recovery phases, mitigation to response phases, mitigation to preparedness phases, and mitigation phase, respectively. Integrating the results from the flood risk assessment, quantitative description of adaptation capacity, and identification of adaptation strategies, a new analytical technique identified as flood risk-adaptation capacity index-adaptation strategies (FRACIAS) linkage model was developed for this study.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Flood risk-adaptation capacity index-adaptation strategies (FRACIAS) linkage model was developed for this study. No evidence of copyright restrictions preventing deposit.
Depositing User: Mr Rodolfo Espada Jr.
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 09 Oct 2012 04:22
Last Modified: 03 Jul 2013 01:31
Uncontrolled Keywords: flood risk; adaptation/coping capacity index; adaptation/coping strategies; fuzzy logic; geographical information system (GIS); LIDAR
Fields of Research (FOR2008): 04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040604 Natural Hazards
09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080110 Simulation and Modelling
12 Built Environment and Design > 1205 Urban and Regional Planning > 120504 Land Use and Environmental Planning
12 Built Environment and Design > 1205 Urban and Regional Planning > 120507 Urban Analysis and Development
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970110 Expanding Knowledge in Technology
URI: http://eprints.usq.edu.au/id/eprint/22090

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