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Comparative analysis of the SWAN numerical model predictions and of the pressure sensor measurements at the ilha Solteira lake

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dc.contributor.author Vieira, A. pt_BR
dc.contributor.author Maciel, G. pt_BR
dc.contributor.author Fortes, C. J. E. M. pt_BR
dc.contributor.author Minussi, C. pt_BR
dc.contributor.author Sobrinho, M. pt_BR
dc.date.accessioned 2013-06-18T16:56:24Z pt_BR
dc.date.accessioned 2014-10-20T13:36:15Z pt_BR
dc.date.accessioned 2017-04-13T11:39:49Z
dc.date.available 2013-06-18T16:56:24Z pt_BR
dc.date.available 2014-10-20T13:36:15Z pt_BR
dc.date.available 2017-04-13T11:39:49Z
dc.date.issued 2013-06 pt_BR
dc.identifier.uri https://repositorio.lnec.pt/jspui/handle/123456789/1004909
dc.description.abstract The Ilha Solteira dam reservoir, which has an extension of 100 km, is located in the northwest of São Paulo state, Brazil. Due to its huge dimension, wind generated waves can cause problems to the navigation security, to the stability of the river banks, to the infrastructures around the reservoir or even to public safety. In 2010/2011, a field data campaign was undertaken in order to measure the wave height and wind velocity. The bottom profile and wind velocity were used on the SWAN (Simulating Waves Nearshore) to predict the wave height. From the obtained results it can be said that the prediction from the numerical model presents similarities with the experimental ones. pt_BR
dc.language.iso eng pt_BR
dc.rights openAccess pt_BR
dc.subject Shelf pt_BR
dc.subject Nearshore and estuarine forecasting systems pt_BR
dc.title Comparative analysis of the SWAN numerical model predictions and of the pressure sensor measurements at the ilha Solteira lake pt_BR
dc.type conferenceObject pt_BR
dc.description.figures 6 pt_BR
dc.description.tables 2 pt_BR
dc.description.pages 7p pt_BR
dc.identifier.seminario 6th SCACR – International Short Course/Conference on Applied Coastal Research pt_BR
dc.identifier.local LNEC, Lisboa pt_BR
dc.description.sector DHA/NPE pt_BR
dc.description.year 2013 pt_BR
dc.description.data 4 a 7 de Junho pt_BR


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