Comparing GIS-based flood resilience models in a developing nation: a case study in Bangladesh
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Keywords: Floods, resilience, GIS, developing nation, comparison
Abstract Type: Paper Abstract
Authors:
Ahmad Mojtoba Riyadh, Department of Geography, University of Utah
Thomas J. Cova, Department of Geography, University of Utah
Timothy W. Collins, Department of Geography, University of Utah
Richard M. Medina, Department of Geography, University of Utah
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Abstract
Floods have a devastating impact on developing nations. The focus of current resilience models is predominantly developed countries, and less is known regarding how they might perform in other contexts. This paper presents a comparative case-study in Bangladesh using two established hazard resilience models: the Disaster Resilience of Place (DROP) Model and the Spatially Explicit Resilience-Vulnerability (SERV) model. Using publicly available data, we applied the two respective models at the district level in the context of flooding, the most extensive hazard in Bangladesh. The results of our model implementations were evaluated by Bangladeshi emergency managers and researchers regarding their potential utility. While emergency managers preferred the SERV model results, researchers thought the DROP model results were preferable. This suggests an opportunity to create a model that would serve the flood resilience needs of managers and researchers.
Comparing GIS-based flood resilience models in a developing nation: a case study in Bangladesh
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Paper Abstract
