HR: 15:15h
AN: H43A-06    [Abstracts]
TI: Multiscale Analysis of Sediment Flux Data and Interpretation in Terms of River Planform Morphodynamics
AU: * Singh, A
EM: sing0336@umn.edu
AF: St. Anthony Falls Laboratory, University of Minnesota, 2 Third Ave SE, St. Anthony Falls Laboratory, Minneapolis, MN 55414, United States
AU: Fienberg, K S
EM: fienb004@umn.edu
AF: St. Anthony Falls Laboratory, University of Minnesota, 2 Third Ave SE, St. Anthony Falls Laboratory, Minneapolis, MN 55414, United States
AU: Georgiou, E F
EM: efi@umn.edu
AF: St. Anthony Falls Laboratory, University of Minnesota, 2 Third Ave SE, St. Anthony Falls Laboratory, Minneapolis, MN 55414, United States
AU: Marr, J
EM: marrx003@umn.edu
AF: St. Anthony Falls Laboratory, University of Minnesota, 2 Third Ave SE, St. Anthony Falls Laboratory, Minneapolis, MN 55414, United States
AU: Jerolmack, D J
EM: sediment@sas.upenn.edu
AF: St. Anthony Falls Laboratory, University of Minnesota, 2 Third Ave SE, St. Anthony Falls Laboratory, Minneapolis, MN 55414, United States
AB: Knowledge of the quantity and variability of sediment flux in a river is important for several hydrologic, hydraulic and ecological applications. While many studies have focused on the prediction of mean sediment flux, less work has been done on explaining the multi-scale sediment flux variability and its relation to the multi-scale variability of surface bed elevations. In the present study an attempt is made to quantify the variability of sediment fluxes at different temporal scales (accumulation intervals) and relate it to the variability of the evolving bed topography. Data were collected in a laboratory flume for different flows and for gravel and sand beds, at resolution of 1 sec (sediment flux), 10 secs (sonar data of bed elevation evolution) and 1 mm (bed topography laser transects). Our analysis shows that sediment flux series exhibit a rich multiscale structure (multiscaling) which is distinctly different in gravel versus sand bed rivers and directly reflects the multiscale variability of the river bed elevations. These results are explored towards: (a) predicting the variability (and extremes) of sediment flux rates at scales different than those at which measurements are available, and (b) predicting the statistics of sediment flux rates from the statistics of the more readily available bed topography data.
DE: 1825 Geomorphology: fluvial (1625)
DE: 1839 Hydrologic scaling
DE: 1862 Sediment transport (4558)
DE: 1872 Time series analysis (3270, 4277, 4475)
SC: Hydrology [H]
MN: 2007 Joint Assembly