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Article: A service-oriented architecture for ensemble flood forecast from numerical weather prediction

TitleA service-oriented architecture for ensemble flood forecast from numerical weather prediction
Authors
KeywordsEnsemble flood forecast
Numerical weather prediction
Service-oriented architecture
Web service
Cloud computing
Issue Date2015
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/jhydrol
Citation
Journal of Hydrology, 2015, v. 527, p. 933-942 How to Cite?
AbstractFloods in mountainous river basins are generally highly destructive, usually causing enormous losses of lives and property. It is important and necessary to develop an effective flood forecast method to prevent people from suffering flood disasters. This paper proposed a general framework for a service-oriented architecture (SOA) for ensemble flood forecast based on numerical weather prediction (NWP), taking advantage of state-of-the-art technologies, e.g., high-accuracy NWP, high-capacity cloud computing, and an interactive web service. With the predicted rainfall data derived from the NWP, which are automatically downloaded, hydrological models will be driven to run on the cloud. Judging from the simulation results and flood control requirements offered by users, warning information about possible floods will be generated for potential sufferers and then sent to them as soon as possible if needed. Moreover, by using web service in a social network, users can also acquire such information on the clients and make decisions about whether to prepare for possible floods. Along with the real-time updates of the NWP, simulation results will be refreshed in a timely manner, and the latest warning information will always be available to users. From the sample demonstrations, it is concluded that the SOA is a feasible way to develop an effective ensemble flood forecast method. After being put into practice, it would be valuable for preventing or reducing the losses caused by floods in mountainous river basins. © 2015 Elsevier B.V.
DescriptionOriginal Research Article
Persistent Identifierhttp://hdl.handle.net/10722/215180
ISSN
2015 Impact Factor: 3.043
2015 SCImago Journal Rankings: 1.743

 

DC FieldValueLanguage
dc.contributor.authorShi, H-
dc.contributor.authorLi, T-
dc.contributor.authorLiu, R-
dc.contributor.authorChen, J-
dc.contributor.authorLi, J-
dc.contributor.authorZhang, A-
dc.contributor.authorWang, G-
dc.date.accessioned2015-08-21T13:17:19Z-
dc.date.available2015-08-21T13:17:19Z-
dc.date.issued2015-
dc.identifier.citationJournal of Hydrology, 2015, v. 527, p. 933-942-
dc.identifier.issn0022-1694-
dc.identifier.urihttp://hdl.handle.net/10722/215180-
dc.descriptionOriginal Research Article-
dc.description.abstractFloods in mountainous river basins are generally highly destructive, usually causing enormous losses of lives and property. It is important and necessary to develop an effective flood forecast method to prevent people from suffering flood disasters. This paper proposed a general framework for a service-oriented architecture (SOA) for ensemble flood forecast based on numerical weather prediction (NWP), taking advantage of state-of-the-art technologies, e.g., high-accuracy NWP, high-capacity cloud computing, and an interactive web service. With the predicted rainfall data derived from the NWP, which are automatically downloaded, hydrological models will be driven to run on the cloud. Judging from the simulation results and flood control requirements offered by users, warning information about possible floods will be generated for potential sufferers and then sent to them as soon as possible if needed. Moreover, by using web service in a social network, users can also acquire such information on the clients and make decisions about whether to prepare for possible floods. Along with the real-time updates of the NWP, simulation results will be refreshed in a timely manner, and the latest warning information will always be available to users. From the sample demonstrations, it is concluded that the SOA is a feasible way to develop an effective ensemble flood forecast method. After being put into practice, it would be valuable for preventing or reducing the losses caused by floods in mountainous river basins. © 2015 Elsevier B.V.-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/jhydrol-
dc.relation.ispartofJournal of Hydrology-
dc.subjectEnsemble flood forecast-
dc.subjectNumerical weather prediction-
dc.subjectService-oriented architecture-
dc.subjectWeb service-
dc.subjectCloud computing-
dc.titleA service-oriented architecture for ensemble flood forecast from numerical weather prediction-
dc.typeArticle-
dc.identifier.emailShi, H: shy2004@hku.hk-
dc.identifier.emailChen, J: jichen@hku.hk-
dc.identifier.authorityChen, J=rp00098-
dc.identifier.doi10.1016/j.jhydrol.2015.05.056-
dc.identifier.scopuseid_2-s2.0-84931275573-
dc.identifier.hkuros247131-
dc.identifier.volume527-
dc.identifier.spage933-
dc.identifier.epage942-
dc.publisher.placeNetherlands-
dc.customcontrol.immutablesml 150827-

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