Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/4294
AuthorsCarvalho, A.* 
Zonno, G.* 
Franceschina, G.* 
Bilé Serra, J.* 
Campos Costa, A.* 
TitleEarthquake shaking scenarios for the Metropolitan Area of Lisbon
Issue DateMay-2008
Series/Report no.5/28 (2008)
DOI10.1016/j.soildyn.2007.07.009
URIhttp://hdl.handle.net/2122/4294
KeywordsStochastic finite-fault modelling
Ground motion simulation
Response spectra
Deterministic-stochastic method
Non-stationary random
Power spectral density function
Local effects
Metropolitan area of Lisbon
Subject Classification04. Solid Earth::04.06. Seismology::04.06.99. General or miscellaneous 
AbstractIn this study, we simulate and compare ground motion shaking in the city of Lisbon and surrounding counties (metropolitan area of Lisbon (MAL)), using two possible earthquake models: the onshore source area of Lower Tagus Valley, M5.7 and M4.7 and the offshore source area, Marques de Pombal Fault, M7.6, one of the possible source of the 1755 Lisbon earthquake. The stochastic and a new hybrid stochastic-deterministic approach (DSM) are used in order to evaluate the ground shaking and to characterize its spatial variability. Results are presented in terms of response acceleration spectra (PSA) and peak ground acceleration (PGA) with respect to bedrock andsurface. Site effects are evaluated by means of equivalent stochastic non-linear one-dimensional ground responses analysis, performed for a set of stratified soil profile units properly designed to cope with the soil site conditions of MAL region. A sensitive study is carried out using different input parameters and different approaches in order to give the basic information to evaluate the range of uncertainty in seismic scenarios.
Appears in Collections:Papers Published / Papers in press

Files in This Item:
File Description SizeFormat 
Carvalho-et-al-SDEE.pdfMain article1.94 MBAdobe PDFView/Open
Show full item record

Page view(s)

85
Last Week
1
Last month
checked on Jun 24, 2017

Download(s)

27
checked on Jun 24, 2017

Google ScholarTM

Check

Altmetric