Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1130
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dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorChau, KW-
dc.date.accessioned2014-12-11T08:27:09Z-
dc.date.available2014-12-11T08:27:09Z-
dc.identifier.issn1420-2026-
dc.identifier.urihttp://hdl.handle.net/10397/1130-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights© Kluwer Academic Publishers (Springer). The original publication is available at www.springerlink.com.en_US
dc.subjectNumerical modelingen_US
dc.subjectCoastal engineeringen_US
dc.titleSelection and calibration of numerical modeling in flow and water qualityen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationVolume 9, Number 3 / January, 2005en_US
dc.description.otherinformationAuthor name used in this publication: K. W. Chauen_US
dc.identifier.spage169-
dc.identifier.epage178-
dc.identifier.volume9-
dc.identifier.issue3-
dc.identifier.doi10.1023/B:ENMO.0000049386.31424.9a-
dcterms.abstractNumerical modeling is frequently used in coastal engineering research and application. One possible issue associated with using this method however, is that initial outcomes might differ from expectation. Modeling manipulation addresses this issue by changing the initial parameters which in turn affects the final output results.-
dcterms.abstractThe advancement of modeling techniques in recent years has seen a gradual but steady accruement of knowledge regarding the relationship between input parameters and possible outputs, which has resulted in improved accuracy and efficiency methods. The advancements within this field have predominantly occurred on an individual basis and as such lack standardisation. An expert numerical modeler may use this knowledge subconsciously, yet may not know how to convey it to the model users. This paper has been written to introduce a systematic intelligent coding schema designed to organise current coastal engineering modeling manipulation knowledge into a standardised format. This system is relevant to the development of appropriate strategies for improved accuracy and efficiency as well as model modification to simulate specific real phenomena in prototype application cases.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEnvironmental modeling and assessment, 2004, v. 9, no. 3, p. 169-178-
dcterms.isPartOfEnvironmental modeling and assessment-
dcterms.issued2004-
dc.identifier.isiWOS:000226208100004-
dc.identifier.scopus2-s2.0-9644262456-
dc.identifier.eissn1573-2967-
dc.identifier.rosgroupidr23856-
dc.description.ros2004-2005 > Academic research: refereed > Publication in refereed journal-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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