@article{fdi:010063956,
  title = {{S}cenario source models and strong ground motion for future mega-earthquakes : application to {L}ima, {C}entral {P}eru},
  author = {{P}ulido, {N}. and {A}guilar, {Z}. and {T}avera, {H}. and {C}hlieh, {M}ohamed and {C}alderon, {D}. and {S}ekiguchi, {T}. and {N}akai, {S}. and {Y}amazaki, {F}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he 2011 moment magnitude ({M}-w) 9.0 {T}ohoku-{O}ki {J}apan earthquake occurred in a region where giant megathrust earthquakes were not expected. {T}his earthquake proved the difficulty in assessing seismic hazard by relying mainly on information from historical and instrumental seismicity. {T}o help improve the seismic-hazard assessment for such rare events, we propose a methodology to estimate the slip distribution of future megathrust earthquakes based on a model of interseismic coupling distribution in subduction margins, as well as information of historical earthquakes, and apply the method to the central {P}eru region, {L}ima. {T}he slip model obtained from geodetic data represents the large scale features of asperities within the megathrust, which is appropriate for simulation of long-period waves and tsunami modeling. {F}or the simulation of a broadband strong ground motion, we add small scale heterogeneities to the source slip to be able to simulate high frequencies. {T}o achieve this purpose, we propose broadband source models constructed by adding short-wavelength slip distributions obtained from a {V}on {K}arman power spectral density function, to the slip model inferred from interseismic geodetic data. {U}sing these slip models and assuming several hypocenter locations, we calculate a set of strong ground motions for {L}ima and incorporate site effects obtained from microtremors surveys and geotechnical data. {O}ur simulated average pseudospectral accelerations (period 0.3 s) are above 1.5g for wide areas in {L}ima, which may be critical in terms of damage of low-to midrise masonry and reinforced concrete buildings, which characterize the majority of buildings in {L}ima.},
  keywords = {{PEROU} ; {LIMA}},
  booktitle = {},
  journal = {{B}ulletin of the {S}eismological {S}ociety of {A}merica},
  volume = {105},
  numero = {1},
  pages = {368--386},
  ISSN = {0037-1106},
  year = {2015},
  URL = {https://www.documentation.ird.fr/hor/fdi:010063956},
}