Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/5600
AuthorsAnsal, A.* 
Akinci, A.* 
Cultrera, G.* 
Erdik, M.* 
Pessina, V.* 
Tönük, G.* 
Ameri, G.* 
TitleLoss estimation in Istanbul based on deterministic earthquake scenarios of the Marmara Sea region (Turkey)
Issue DateApr-2009
Series/Report no.4/29 (2009)
DOI10.1016/j.soildyn.2008.07.006
URIhttp://hdl.handle.net/2122/5600
KeywordsLoss estimation
Deterministic ground shaking scenarios
Istanbul area
Marmara Sea region
Subject Classification04. Solid Earth::04.06. Seismology::04.06.99. General or miscellaneous 
04. Solid Earth::04.06. Seismology::04.06.04. Ground motion 
04. Solid Earth::04.06. Seismology::04.06.11. Seismic risk 
AbstractThe rapid urban development in Istanbul has lead to an increase in the exposure levels of the urban vulnerability. Due to the steadily increasing population, with improper land-use planning, inappropriate construction techniques and inadequate infrastructure systems, associated with an existing high hazard level, Istanbul is one of the most risky cities in the Mediterranean region. Estimations of casualties and losses, expected for given earthquake scenarios, are necessary to develop sustainable rehabilitation programs and for improving preparedness. Deterministic hazard scenarios and time-dependent probabilistic hazard assessment were used as input to a GIS-based loss estimation model, to evaluate the earthquake risk for Istanbul. The deterministic ground shaking scenarios, used for loss estimation in Istanbul, were defined in terms of acceleration and velocity time series for recognized reference earthquakes caused by different rupture models along extended sources. The ground motions were calculated for the whole metropolitan area extending over a grid system of 25×100 km2. For the case of Istanbul, the representative scenario was selected by comparing the simulated peak values and response spectra with the empirical ground motion models available for the area. Simulated values are within one standard deviation of the empirical regressions. The availability of wide-ranging building inventory data allowed the application of a GIS-based loss estimation model (KoeriLoss-V2) to evaluate different loss scenarios depending on the ground shaking input, as well as to consider the implications of mitigation actions. It was found that 30% of the buildings in the metropolitan area may be in need of either strengthening or demolition to achieve an adequate degree of life safety.
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