نمایش مختصر رکورد

dc.contributor.authorBadri, M. A.en_US
dc.date.accessioned1399-07-09T03:31:42Zfa_IR
dc.date.accessioned2020-09-30T03:31:43Z
dc.date.available1399-07-09T03:31:42Zfa_IR
dc.date.available2020-09-30T03:31:43Z
dc.date.issued2012-03-01en_US
dc.date.issued1390-12-11fa_IR
dc.date.submitted2012-02-01en_US
dc.date.submitted1390-11-12fa_IR
dc.identifier.citationBadri, M. A.. (2012). Using Weibull probability distribution to calibrate prevailing wind applying in oil spill simulation. Iranian Journal of Mechanical Engineering Transactions of the ISME, 13(1), 5-22.en_US
dc.identifier.issn1605-9727
dc.identifier.urihttp://jmee.isme.ir/article_19612.html
dc.identifier.urihttps://iranjournals.nlai.ir/handle/123456789/242541
dc.description.abstractIn the Persian Gulf, the major source of oil pollution is related to the transportation of tankers, offshore production and discharges by coastal refineries. The water dynamical field has been obtained using a new hydrodynamic model. Local wind is recognized as the principal driving force combining to the water dynamic field to determine oil drift on the sea surface. The Weibull probability distribution is considered to adjust the prevailing wind obtaining by data from measurements and compared with other data, displaying fairly good conformity. To model the advection and dispersion in the Persian Gulf which is a shallow water area, random walk technique has been used. Comparison of the actual and simulated oil spill trajectory based on real wind field was found acceptable in the Iranian waters.en_US
dc.format.extent5524
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoen_US
dc.publisherIranian Society of Mechanical Engineeringen_US
dc.relation.ispartofIranian Journal of Mechanical Engineering Transactions of the ISMEen_US
dc.subjectWeibull distributionen_US
dc.subjectProbability wind fielden_US
dc.subjectoil spill modelingen_US
dc.subjectPersian Gulfen_US
dc.subjectHydrodynamicsen_US
dc.titleUsing Weibull probability distribution to calibrate prevailing wind applying in oil spill simulationen_US
dc.typeTexten_US
dc.typeResearch Paperen_US
dc.contributor.departmentResearch Ins. for Subsea Sci. & Tech., Isfahan Univ. of Tech., Isfahan, Iranen_US
dc.citation.volume13
dc.citation.issue1
dc.citation.spage5
dc.citation.epage22


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