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dc.contributor.authorKariuki, Patrick C.-
dc.date.accessioned2015-01-30T12:03:44Z-
dc.date.available2015-01-30T12:03:44Z-
dc.date.issued1995-
dc.identifier.citationIndividual studies by participants to the International Institute of Seismology and Earthquake Engineering, 1995, vol. 31, pp. 73-85en_US
dc.identifier.issn0074-6606-
dc.identifier.urihttp://cat.inist.fr/?aModele=afficheN&cpsidt=2919622-
dc.identifier.urihttp://hdl.handle.net/123456789/780-
dc.description.abstractSeismic zonation can be considered to consist of a map which defines areas having equal seismic conditions, be it ground motion, ground failure or susceptibility to surface fault rupture. Earthquake ground motion is directly related to seismic forces acting on structures. Thus seismic zoning for ground motion provide an important initial indicator of seismic risk. Assessment of ground motion depends on the regional seismicity, attenuation of ground motion Intensity and local site effects on the ground motion. In this study the process of zoning for expected ground motions was carried out for Kenya. Seismicity data comprised of historical and instrumental data during the period between 1900 and 1992. In determination of maximum earthquake motions the probabilistic approach was used where seismicity is evaluated as the probability of earthquake occurrence during the return periods of 50, 100, 150, 200 lnd 300 years. A model proposed by S. Hattori was used in the analysis where attenuation models proposed by Kanai, Oliveira and McGuire are used. In the study local site effects refer to modification of predicted rock outcrop 'reference' motion to give motions at the local site in question based on grossly defined geology.en_US
dc.language.isoenen_US
dc.subjectearthquakesen_US
dc.subjectground motionen_US
dc.subjectseismic zoningen_US
dc.subjectseismic risken_US
dc.subjectattenuationen_US
dc.subjectrisk analysisen_US
dc.subjectmodelsen_US
dc.subjectseismicity mapsen_US
dc.subjectKenyaen_US
dc.subjectEast Africaen_US
dc.titleZoning for ground motions in Kenya : the case of incomplete and uncertain dataen_US
dc.typeArticleen_US
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