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Article: Predicting tsunami arrivals: Estimates and policy implications

TitlePredicting tsunami arrivals: Estimates and policy implications
Authors
KeywordsContingency plan
Disaster management
Tsunami arrival
Tsunami warning
Water wave
Issue Date2009
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/marpol
Citation
Marine Policy, 2009, v. 33 n. 4, p. 643-650 How to Cite?
AbstractTsunami is one of a few kinds of natural disasters that leave people some time for escape. This escape time, which is essentially the time for the giant wave to propagate from the epicentre to a coast, has to be estimated without delay upon the occurrence of the incident. With the advancement of water wave theories, much work has been done to model the propagation of tsunamis from deep oceans to shallow water. The authors argue that while much emphasis has been put on the expansion of the high-tech early warning system and the development of complicated tsunami models, a simple-to-use yet accurate predictive model is still wanting. This paper presents a handy linear wave model, which is capable of estimating the arrival time of a tsunami with very good accuracy, as has been verified by comparison with past incidents. With the availability of such a simple model, even local communities without access to a high-tech warning system can readily estimate the time left for emergency evacuation. © 2009 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/75787
ISSN
2015 Impact Factor: 2.453
2015 SCImago Journal Rankings: 1.567
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorZhang, DHen_HK
dc.contributor.authorYip, TLen_HK
dc.contributor.authorNg, COen_HK
dc.date.accessioned2010-09-06T07:14:33Z-
dc.date.available2010-09-06T07:14:33Z-
dc.date.issued2009en_HK
dc.identifier.citationMarine Policy, 2009, v. 33 n. 4, p. 643-650en_HK
dc.identifier.issn0308-597Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/75787-
dc.description.abstractTsunami is one of a few kinds of natural disasters that leave people some time for escape. This escape time, which is essentially the time for the giant wave to propagate from the epicentre to a coast, has to be estimated without delay upon the occurrence of the incident. With the advancement of water wave theories, much work has been done to model the propagation of tsunamis from deep oceans to shallow water. The authors argue that while much emphasis has been put on the expansion of the high-tech early warning system and the development of complicated tsunami models, a simple-to-use yet accurate predictive model is still wanting. This paper presents a handy linear wave model, which is capable of estimating the arrival time of a tsunami with very good accuracy, as has been verified by comparison with past incidents. With the availability of such a simple model, even local communities without access to a high-tech warning system can readily estimate the time left for emergency evacuation. © 2009 Elsevier Ltd. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/marpolen_HK
dc.relation.ispartofMarine Policyen_HK
dc.subjectContingency planen_HK
dc.subjectDisaster managementen_HK
dc.subjectTsunami arrivalen_HK
dc.subjectTsunami warningen_HK
dc.subjectWater waveen_HK
dc.titlePredicting tsunami arrivals: Estimates and policy implicationsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0308-597X&volume=33&issue=4&spage=643–650&epage=&date=2009&atitle=Predicting+tsunami+arrivals:+estimates+and+policy+implicationsen_HK
dc.identifier.emailNg, CO:cong@hku.hken_HK
dc.identifier.authorityNg, CO=rp00224en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.marpol.2008.12.011en_HK
dc.identifier.scopuseid_2-s2.0-63349084806en_HK
dc.identifier.hkuros155082en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-63349084806&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume33en_HK
dc.identifier.issue4en_HK
dc.identifier.spage643en_HK
dc.identifier.epage650en_HK
dc.identifier.isiWOS:000265812700012-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridZhang, DH=7405357048en_HK
dc.identifier.scopusauthoridYip, TL=7004283954en_HK
dc.identifier.scopusauthoridNg, CO=7401705594en_HK
dc.identifier.citeulike5475248-

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