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Titel Open Source Procedure for Assessment of Loss using Global Earthquake Modelling software (OPAL)
VerfasserIn J. E. Daniell
Medientyp Artikel
Sprache Englisch
ISSN 1561-8633
Digitales Dokument URL
Erschienen In: Natural Hazards and Earth System Science ; 11, no. 7 ; Nr. 11, no. 7 (2011-07-08), S.1885-1899
Datensatznummer 250009559
Publikation (Nr.) Volltext-Dokument vorhandencopernicus.org/nhess-11-1885-2011.pdf
 
Zusammenfassung
This paper provides a comparison between Earthquake Loss Estimation (ELE) software packages and their application using an "Open Source Procedure for Assessment of Loss using Global Earthquake Modelling software" (OPAL). The OPAL procedure was created to provide a framework for optimisation of a Global Earthquake Modelling process through:

1. overview of current and new components of earthquake loss assessment (vulnerability, hazard, exposure, specific cost, and technology);
2. preliminary research, acquisition, and familiarisation for available ELE software packages;
3. assessment of these software packages in order to identify the advantages and disadvantages of the ELE methods used; and
4. loss analysis for a deterministic earthquake (Mw = 7.2) for the Zeytinburnu district, Istanbul, Turkey, by applying 3 software packages (2 new and 1 existing): a modified displacement-based method based on DBELA (Displacement Based Earthquake Loss Assessment, Crowley et al., 2006), a capacity spectrum based method HAZUS (HAZards United States, FEMA, USA, 2003) and the Norwegian HAZUS-based SELENA (SEismic Loss EstimatioN using a logic tree Approach, Lindholm et al., 2007) software which was adapted for use in order to compare the different processes needed for the production of damage, economic, and social loss estimates. The modified DBELA procedure was found to be more computationally expensive, yet had less variability, indicating the need for multi-tier approaches to global earthquake loss estimation. Similar systems planning and ELE software produced through the OPAL procedure can be applied to worldwide applications, given exposure data.
 
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