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Sediment transport along lower Fraser River: 2. Estimates based on the long‐term gravel budget
Author(s) -
McLean David G.,
Church Michael
Publication year - 1999
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/1999wr900102
Subject(s) - aggradation , sedimentary budget , sediment , sediment transport , hydrology (agriculture) , channel (broadcasting) , environmental science , hydraulics , bed load , term (time) , river morphology , streams , fluvial , geology , geotechnical engineering , geomorphology , computer science , computer network , physics , structural basin , aerospace engineering , quantum mechanics , engineering
The long‐term rate of gravel (bed material) transfer is established for a 45 km gravel‐bed reach of lower Fraser River by comparing river morphology on the basis of complete channel surveys conducted 32 years apart. The reach is aggradational, but the sediment budget reveals substantial local variations in transport within the reach. Methods for estimating sediment transport on the basis of observed morphological changes are compared with the sediment budget and with measurements of bed load transport made at the upstream end of the study reach. All of the methods indicate that the average gravel load entering the study reach is about 200 × 10 3 tonnes/year. Certain computational formulae estimate similar amounts, but there is no obvious way to decide beforehand which formula might be reliable. Lessons from this work include the observation of substantial within‐reach variations in transport, so that the results from a single cross section are not necessarily representative, and the observation that, most of the time, the river is transporting an amount that is far less than its “hydraulic capacity.” A summary discussion compares the various methods for estimating bed material transport in terms of reliability and applicability. Estimates based on observed morphological change appear to be most cost‐effective and can best take advantage of historical information about the river. However, potential sources of bias must be carefully evaluated.