Event bed load yield measurement with load cell bed load traps and prediction of bed load yield from hydrograph shape
Sear, D.A. (2003) Event bed load yield measurement with load cell bed load traps and prediction of bed load yield from hydrograph shape. In, Bogen, J., Fergus, T. and Walling, D.E. (eds.) Erosion and Sediment Transport Measurement in Rivers: technological and methodological advances (Proceedings of the Oslo Workshop, June 2002). Wallingford, UK, IAHS Press, 146-153. (International Association of Hydrological Sciences Publication 283).
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One of the goals of sediment transport research is to predict the bed load yield of ungauged catchments. However, what little field data exist are characterized by temporal fluctuations in the record of event yield. Attempts to model the process of transport typically involve the derivation of empirical relationships between commonly measured variables such as stream discharge and the rate of bed load transport. Such approaches fail to account for the effect of sediment supply on the process of transport, which is known to contribute to the variability in records. This paper sets out a conceptual model of sediment transport that establishes a link between the form of the stream hydrograph and the effectiveness of an event as indexed by sediment yield. The model is then tested against a dataset of 60 bed load transport events recorded using a new type of load-cell pit trap. Total event power is shown to be capable of explaining 70% of the variance in event yields for a small woodland stream.
|Item Type:||Book Section|
|Keywords:||bed load yield, event duration, sediment supply, stream hydrograph|
|Subjects:||G Geography. Anthropology. Recreation > G Geography (General)
G Geography. Anthropology. Recreation > GE Environmental Sciences
|Divisions :||University Structure - Pre August 2011 > School of Geography > Environmental Processes and Change
|Accepted Date and Publication Date:||
|Date Deposited:||10 Mar 2005|
|Last Modified:||31 Mar 2016 11:28|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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