Modelling risk hurricane elements in potentially affected areas by a GIS system
Modelling risk hurricane elements in potentially affected areas by a GIS system
In the last decade, modelling hurricanes in potentially affected areas using geographical information systems (GIS) and geospatial cyberinfrastracture (GCI) has become a major topic of research. Despite some basic approaches, some unsolved questions are still under discussion. The disastrous effects of hurricanes on communities are well known, however there is a need to better understand the hazard contributions of the different components related to a hurricane, such as storm surges, floods and high winds. In this paper, the selected approach is to determine an onset zoning from a set of attributes that are considered to govern the hurricane while examining the influence of each individual component that produces the final exposure. To this end, this study assesses the different components using parameters derived from topography, bathymetry and hurricane physical indexes. Key attributes are the river network, the topography, the wetness index and the offline bathymetry. Complementary data include the CMORPH rain dataset and the hurricane track together with its structure model, both based on National Oceanic and Atmospheric Administration (NOAA) datasets. Total hazard results were then overlaid with population data in the overall assessment of elements at risk. The approach, which made use of a number of available global and free datasets, was then validated on a regional basis using ground data collected by the World Food Programme (WFP) over the study area (Central America region) for a specific hurricane. © 2010 Taylor & Francis.
349-373
Taramelli, Andrea
597b5f08-4c8e-45e1-bbab-043b7abd9069
Melelli, Laura
c6e5e772-2a13-4a6b-96fd-dbbe613ea3df
Pasqui, Massimiliano
557f9e26-6c55-47ab-8ba5-718a4a50a61d
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
December 2010
Taramelli, Andrea
597b5f08-4c8e-45e1-bbab-043b7abd9069
Melelli, Laura
c6e5e772-2a13-4a6b-96fd-dbbe613ea3df
Pasqui, Massimiliano
557f9e26-6c55-47ab-8ba5-718a4a50a61d
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
Taramelli, Andrea, Melelli, Laura, Pasqui, Massimiliano and Sorichetta, Alessandro
(2010)
Modelling risk hurricane elements in potentially affected areas by a GIS system.
Geomatics, Natural Hazards and Risk, 1 (4), .
(doi:10.1080/19475705.2010.532972).
Abstract
In the last decade, modelling hurricanes in potentially affected areas using geographical information systems (GIS) and geospatial cyberinfrastracture (GCI) has become a major topic of research. Despite some basic approaches, some unsolved questions are still under discussion. The disastrous effects of hurricanes on communities are well known, however there is a need to better understand the hazard contributions of the different components related to a hurricane, such as storm surges, floods and high winds. In this paper, the selected approach is to determine an onset zoning from a set of attributes that are considered to govern the hurricane while examining the influence of each individual component that produces the final exposure. To this end, this study assesses the different components using parameters derived from topography, bathymetry and hurricane physical indexes. Key attributes are the river network, the topography, the wetness index and the offline bathymetry. Complementary data include the CMORPH rain dataset and the hurricane track together with its structure model, both based on National Oceanic and Atmospheric Administration (NOAA) datasets. Total hazard results were then overlaid with population data in the overall assessment of elements at risk. The approach, which made use of a number of available global and free datasets, was then validated on a regional basis using ground data collected by the World Food Programme (WFP) over the study area (Central America region) for a specific hurricane. © 2010 Taylor & Francis.
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More information
Accepted/In Press date: 18 August 2010
e-pub ahead of print date: 20 November 2010
Published date: December 2010
Identifiers
Local EPrints ID: 433245
URI: http://eprints.soton.ac.uk/id/eprint/433245
ISSN: 1947-5705
PURE UUID: babb3313-99e3-40d4-80e9-9c948195fb84
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Date deposited: 12 Aug 2019 16:30
Last modified: 16 Mar 2024 03:08
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Author:
Andrea Taramelli
Author:
Laura Melelli
Author:
Massimiliano Pasqui
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