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Trends in Suspended Sediment Input to the San Francisco Bay from Local Tributaries. Presented by Setenay Bozkurt s.bozkurt@pwa-ltd.com Philip Williams & Associates, Ltd. San Francisco, CA December 2005. PROJECT OBJECTIVE. To detect spatial and temporal trends in suspended sediment records
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Trends in Suspended Sediment Inputto the San Francisco Bayfrom Local Tributaries • Presented by • Setenay Bozkurt • s.bozkurt@pwa-ltd.com • Philip Williams & Associates, Ltd. • San Francisco, CA • December 2005
PROJECT OBJECTIVE • To detect spatial and temporal trends in suspended sediment records • No emphasis on the absolute amounts of sediment entering the Bay • McKee et al, 2003 for sediment delivery to the Bay
DISCUSSION TOPICS • CONCEPTUAL MODEL • GEOMORPHIC PROCESSES • SPATIAL VARIABILITY • TEMPORAL VARIABILITY • SUSPENDED SEDIMENT RECORDS • SPATIAL TRENDS • TEMPORAL TRENDS • CONCLUSIONS
GEOMORPHIC PROCESSES Dominant sediment sources: Landslides, gullies, bed/bank erosion, rills and sheetwash
DISCUSSION TOPICS • CONCEPTUAL MODEL • GEOMORPHIC PROCESSES • SPATIAL VARIABILITY • TEMPORAL VARIABILITY • SUSPENDED SEDIMENT RECORDS • SPATIAL TRENDS • TEMPORAL TRENDS • CONCLUSIONS
CONCEPTUAL MODEL FOR SPATIAL VARIABILITY • Drainage area • Topography • Climate • Hydrology • Geology/Soils • Land use/ Land Cover • Processes
DISCUSSION TOPICS • CONCEPTUAL MODEL • GEOMORPHIC PROCESSES • SPATIAL VARIABILITY • TEMPORAL VARIABILITY • SUSPENDED SEDIMENT RECORDS • SPATIAL TRENDS • TEMPORAL TRENDS • CONCLUSIONS
All of this occurred before the invention of the modern “low impact” cow
Urbanization tends to increase stormwater runoff: • peak flows • volume • frequency Post-Development Hydrograph Modification Impacts Pre-Development Runoff Time
Erosion impacts: • small, frequent flows move most sediment • hydromodification increases frequency of small flows • increased sediment transport = erosion Hydrograph Modification Impacts
CONCEPTUAL MODEL FOR TEMPORAL VARIABILITY Modified from Wright and Schoellhamer, 2004
DISCUSSION TOPICS • CONCEPTUAL MODEL • GEOMORPHIC PROCESSES • SPATIAL VARIABILITY • TEMPORAL VARIABILITY • SUSPENDED SEDIMENT RECORDS • SPATIAL TRENDS • TEMPORAL TRENDS • CONCLUSIONS
SPATIAL TRENDS IN SUSPENDED SEDIMENT RECORDS • 19 watersheds • Look for correlation of suspended sediment yield with: • drainage area • annual runoff • relief • % sand in soils • % area with landslides • mean annual precipitation • rainfall threshold statistics • % area with steep slopes • % sandy soils • % area of rangeland and barren land • % area of rangeland with steep slopes • % impervious area
SPATIAL CORRELATIONS • Significant correlations between sediment yield and • Drainage area: r2 = 0.79 • Mean annual runoff: r2 = 0.78 • Relief: r2 = 0.68
SPATIAL CORRELATIONS • No multiple regression possible • due to small data set • Several parameters weakly correlated: • % sand in soils • % landslide area • % impervious area
DISCUSSION TOPICS • CONCEPTUAL MODEL • GEOMORPHIC PROCESSES • SPATIAL VARIABILITY • TEMPORAL VARIABILITY • SUSPENDED SEDIMENT RECORDS • SPATIAL TRENDS • TEMPORAL TRENDS • CONCLUSIONS
TEMPORAL TRENDS IN SUSPENDED SEDIMENT RECORDS • Do sediment loads change over time? • Compare sediment concentrations for a given discharge range over long term
PREDICTING SUSPENDED SEDIMENT INPUT TO THE BAY • Sediment rating curves: Qs vs. Q • Sediment loads correlated well for all stations • r2 > 0.70 • Scatter due to: • Inherent random changes in any system at any given time • Nonlinear relation between discharge and concentration • Hysteresis and sediment lag of floods • Better correlation and predictability if low discharges are excluded
DISCUSSION TOPICS • CONCEPTUAL MODEL • GEOMORPHIC PROCESSES • SPATIAL VARIABILITY • TEMPORAL VARIABILITY • SUSPENDED SEDIMENT RECORDS • SPATIAL TRENDS • TEMPORAL TRENDS • CONCLUSIONS
SUMMARY and CONCLUSIONS • Suspended sediment records are spatially and temporally limited • Significant functional relationship between discharge and sediment load for all stations • rating curves can be used to estimate sediment yields and to extrapolate data for prediction
SUMMARY and CONCLUSIONS • Decreasing sediment yields in • Alameda Creek at Niles • Colma Creek at South San Francisco • Cull Creek above the Reservoir • Drainage area, mean annual runoff, and relief • are the best variables to predict sediment yield from local watersheds
SUMMARY and CONCLUSIONS • Significance of decreasing suspended sediment trends • implications of decreasing sediment yields for large scale restoration projects around the Bay • Need for more quantitative measurements on: • dominant geomorphic process e.g. gullies, landslides, channel erosion • Need for more suspended sediment measurements