Evaluation of sand transport models by in situ observations.

Sand transport rates measured from nine deployments of an annular benthic flume off the western Newfoundland coast and Sable Island Bank (Canada), are compared with predictions using: (1) Engelund and Hansen's total load equation; (2) Einstein-Brown's bedload equation; (3) Bagnold's t...

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Detalles Bibliográficos
Autores: Gomez, Eduardo Alberto, Amos, Carl, Li, Michael
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2006
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/17010
Acceso en línea:http://hdl.handle.net/11336/17010
Access Level:acceso abierto
Palabra clave:https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
Descripción
Sumario:Sand transport rates measured from nine deployments of an annular benthic flume off the western Newfoundland coast and Sable Island Bank (Canada), are compared with predictions using: (1) Engelund and Hansen's total load equation; (2) Einstein-Brown's bedload equation; (3) Bagnold's total load equation, modified by Gadd et al.; and (4) Yalin's bedload equation. TheD grain diameters examined were: 0.19mm(15 trials); 0.33mm(37 trials); and 0.50 mm (7 trials). Results showed that equation (1) under-predicted in about a 40% for all the grain sizes. Equations (2) and (4) showed almost the same range of under-prediction: approximately 30% for D = 0.19 mm, 40% for D = 0.33 mm and 50% for D = 0.5 mm. The maximum variations on the observed-predicted ratios were obtained by equation (3), over-predicting by a factor of 2.45 and 1.9 for D = 0.19 mm and D = 0.33 mm, respectively, and under-predicting by a factor of 0.42 for D = 0.5 mm, but showing the highest correlations among all the tested models (R = 0.96 and 0.8 forD = 0.19mmand 0.33 mm, respectively). These variations are related to the inclusion of outliers in the original computation of the grain size dependent -parameter employed by equation (3). Based on the obtained results and through the analysis of published data, a significant improvement on the formulation (3) is suggested.