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dc.contributor.authorTrigg, Mark A.-
dc.contributor.authorWilson, Matthew D.-
dc.contributor.authorBates, Paul-
dc.contributor.authorHorritt, Matthew S.-
dc.contributor.authorAlsdorf, Douglas E.-
dc.contributor.authorForsberg, Bruce Rider-
dc.contributor.authorVega, Maria C.-
dc.date.accessioned2020-06-15T21:54:49Z-
dc.date.available2020-06-15T21:54:49Z-
dc.date.issued2009-
dc.identifier.urihttps://repositorio.inpa.gov.br/handle/1/18423-
dc.description.abstractA bathymetric survey of 575 km of the central Amazon River and one of its tributaries, the Purus, are combined with gauged data to characterise the Amazon flood wave, and for hydraulic modelling of the main channel for the period June 1995-March 1997 with the LISFLOOD-FP and HEC-RAS hydraulic models. Our investigations show that the Amazon flood wave is subcritical and diffusive in character and, due to shallow bed slopes, backwater conditions control significant reach lengths and are present for low and high water states. Comparison of the different models shows that it is necessary to include at least the diffusion term in any model, and the RMSE error in predicted water elevation at all cross sections introduced by ignoring the acceleration and advection terms is of the order of 0.02-0.03 m. The use of a wide rectangular channel approximation introduces an error of 0.10-0.15 m on the predicted water levels. Reducing the bathymetry to a simple bed slope and with mean cross section only, introduces an error in the order of 0.5 m. These results show that when compared to the mean annual amplitude of the Amazon flood wave of 11-12 m, water levels are relatively insensitive to the bathymetry of the channel model. The implication for remote sensing studies of the central Amazon channel, such as those proposed with the Surface Water and Ocean Topography mission (SWOT), is that even relatively crude assumptions regarding the channel bathymetry will be valid in order to derive discharge from water surface slope of the main channel, as long as the mean channel area is approximately correct. © 2009 Elsevier B.V. All rights reserved.en
dc.language.isoenpt_BR
dc.relation.ispartofVolume 374, Número 1-2, Pags. 92-105pt_BR
dc.rightsRestrito*
dc.subjectAmazon Flood Waveen
dc.subjectAmazon Riveren
dc.subjectAnnual Amplitudeen
dc.subjectBathymetric Dataen
dc.subjectBathymetric Surveyen
dc.subjectBed Slopeen
dc.subjectChannel Areaen
dc.subjectChannel Modelen
dc.subjectCross Sectionen
dc.subjectFlood Wavesen
dc.subjectHec-rasen
dc.subjectHigh Wateren
dc.subjectHydrodynamic Modellingen
dc.subjectOcean Topographyen
dc.subjectRectangular Channelen
dc.subjectRiver Channelsen
dc.subjectWater Elevationen
dc.subjectWater Surfaceen
dc.subjectFluid Dynamicsen
dc.subjectHydraulic Modelsen
dc.subjectHydraulic Structuresen
dc.subjectHydrodynamicsen
dc.subjectHydrographic Surveysen
dc.subjectOceanographyen
dc.subjectRemote Sensingen
dc.subjectRiversen
dc.subjectSurface Topographyen
dc.subjectWater Levelsen
dc.subjectBathymetryen
dc.subjectBathymetric Surveyen
dc.subjectChannel Hydraulicsen
dc.subjectData Acquisitionen
dc.subjectDischargeen
dc.subjectError Analysisen
dc.subjectFlood Waveen
dc.subjectGaugeen
dc.subjectRemote Sensingen
dc.subjectRiver Channelen
dc.subjectSurveyingen
dc.subjectWater Levelen
dc.subjectWater Waveen
dc.subjectAmazon Riveren
dc.subjectSouth Americaen
dc.titleAmazon flood wave hydraulicsen
dc.typeArtigopt_BR
dc.identifier.doi10.1016/j.jhydrol.2009.06.004-
dc.publisher.journalJournal of Hydrologypt_BR
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