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Article: Assessment of global seismic loss based on macroeconomic indicators

TitleAssessment of global seismic loss based on macroeconomic indicators
Authors
KeywordsAssessment method
Earthquake damage
Economic impact
Macroeconomics
Seismic hazard
Issue Date1998
PublisherSpringer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0921-030x
Citation
Natural Hazards, 1998, v. 17 n. 3, p. 269-283 How to Cite?
AbstractMost earthquake loss studies use a probabilistic approach in which predicted damages in various categories of structure and facilities in the region in concern are estimated and added together to obtain a total loss for particular intensity ranges. Such an approach requires a detailed inventory database of the structures and facilities in the region, which is not always readily available in many regions of the world. We have used an alternative means of estimating earthquake losses based on several macroeconomic indices such as the gross domestic product and population. Using published earthquake loss data for 1980-1995, the relations between GDP and earthquake loss have been formulated empirically for several intensity ranges. The world's land surface was divided into unit cells 0.5°lat. x 0.5°long. in size. The GDP of each cell was apportioned based on its population and GDP, and the population of the region to which it belongs. The predicted seismic loss of the cell was then estimated from the seismic hazard probability function, its GDP, and the empirical relation between GDP and seismic loss. A global seismic loss map is then compiled both for the intensity at 10% probability of exceedance and the probable maximum intensity. Employing readily available socioeconomic data as the basis for the vulnerability analysis, the method enables us to obtain seismic loss estimates for regions without the need for a detailed inventory of exposed structures or collateral geological information. Since such statistics are frequently compiled by the world's leading political and financial institutions, the seismic loss estimates can also be upgraded easily for the fast developing areas of the world.
Persistent Identifierhttp://hdl.handle.net/10722/118262
ISSN
2015 Impact Factor: 1.746
2015 SCImago Journal Rankings: 0.851
References

 

DC FieldValueLanguage
dc.contributor.authorChan, LSen_HK
dc.contributor.authorChen, Yen_HK
dc.contributor.authorChen, Qen_HK
dc.contributor.authorChen, Len_HK
dc.contributor.authorLiu, Jen_HK
dc.contributor.authorDong, Wen_HK
dc.contributor.authorShah, Hen_HK
dc.date.accessioned2010-09-26T07:57:03Z-
dc.date.available2010-09-26T07:57:03Z-
dc.date.issued1998en_HK
dc.identifier.citationNatural Hazards, 1998, v. 17 n. 3, p. 269-283en_HK
dc.identifier.issn0921-030Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/118262-
dc.description.abstractMost earthquake loss studies use a probabilistic approach in which predicted damages in various categories of structure and facilities in the region in concern are estimated and added together to obtain a total loss for particular intensity ranges. Such an approach requires a detailed inventory database of the structures and facilities in the region, which is not always readily available in many regions of the world. We have used an alternative means of estimating earthquake losses based on several macroeconomic indices such as the gross domestic product and population. Using published earthquake loss data for 1980-1995, the relations between GDP and earthquake loss have been formulated empirically for several intensity ranges. The world's land surface was divided into unit cells 0.5°lat. x 0.5°long. in size. The GDP of each cell was apportioned based on its population and GDP, and the population of the region to which it belongs. The predicted seismic loss of the cell was then estimated from the seismic hazard probability function, its GDP, and the empirical relation between GDP and seismic loss. A global seismic loss map is then compiled both for the intensity at 10% probability of exceedance and the probable maximum intensity. Employing readily available socioeconomic data as the basis for the vulnerability analysis, the method enables us to obtain seismic loss estimates for regions without the need for a detailed inventory of exposed structures or collateral geological information. Since such statistics are frequently compiled by the world's leading political and financial institutions, the seismic loss estimates can also be upgraded easily for the fast developing areas of the world.en_HK
dc.languageengen_HK
dc.publisherSpringer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0921-030xen_HK
dc.relation.ispartofNatural Hazardsen_HK
dc.subjectAssessment methoden_HK
dc.subjectEarthquake damageen_HK
dc.subjectEconomic impacten_HK
dc.subjectMacroeconomicsen_HK
dc.subjectSeismic hazarden_HK
dc.titleAssessment of global seismic loss based on macroeconomic indicatorsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0921-030X&volume=&spage=269&epage=283&date=1998&atitle=Assessment+of+global+seismic+loss+based+on+macroeconomic+indicatorsen_HK
dc.identifier.emailChan, LS:chanls@hku.hken_HK
dc.identifier.authorityChan, LS=rp00665en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1023/A:1008060510137en_HK
dc.identifier.scopuseid_2-s2.0-0032464775en_HK
dc.identifier.hkuros47000en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0032464775&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume17en_HK
dc.identifier.issue3en_HK
dc.identifier.spage269en_HK
dc.identifier.epage283en_HK
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridChan, LS=7403540528en_HK
dc.identifier.scopusauthoridChen, Y=7601449946en_HK
dc.identifier.scopusauthoridChen, Q=7406333920en_HK
dc.identifier.scopusauthoridChen, L=7409438464en_HK
dc.identifier.scopusauthoridLiu, J=24470507100en_HK
dc.identifier.scopusauthoridDong, W=55205321500en_HK
dc.identifier.scopusauthoridShah, H=7202873653en_HK

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