STREAMBANK EROSION AND PREDICTION OF SUSPENDED SEDIMENT FLUX
SCOTT HAMSHAW | FEBRUARY 6, 2016
STREAMBANK EROSION AND PREDICTION OF SUSPENDED SEDIMENT FLUX SCOTT - - PowerPoint PPT Presentation
STREAMBANK EROSION AND PREDICTION OF SUSPENDED SEDIMENT FLUX SCOTT HAMSHAW | FEBRUARY 6, 2016 MOTIVATION: CHALLENGES IN SEDIMENT STUDIES Mad River at Moretown, Vermont USGS Gauge @ Moretown - 10/31/12 USGS Gauge @ Moretown - 10/31/12 1500
SCOTT HAMSHAW | FEBRUARY 6, 2016
10/29 12 AM 10/29 12 PM 10/30 12 AM 10/30 12 PM 10/31 12 AM 10/31 12 PM 11/01 12 AM 11/01 12 PM 11/02 12 AM 11/02 12 PM 500 1000 1500 Discharge (cfs) Time
USGS Gauge @ Moretown - 10/31/12
500 1000 1500 TSS (mg/l) Discharge (cfs) TSS (mg/l) 10/29 12 AM 10/29 12 PM 10/30 12 AM 10/30 12 PM 10/31 12 AM 10/31 12 PM 11/01 12 AM 11/01 12 PM 11/02 12 AM 11/02 12 PM 500 1000 1500 Discharge (cfs) Time
USGS Gauge @ Moretown - 10/31/12
500 1000 1500 TSS (mg/l) Discharge (cfs) Turbidity (NTU) TSS (mg/l)
Discharge Turbidity TSS Sample
Mad River at Moretown, Vermont
Winooski River Gravel Roads Mad River Floodplain Deposition Streambanks (Forested) Hillslopes Agricultural Fields Urban/ Suburban Upper Basin Streambank /Slopes
Turbidity sensors to capture near real- time sediment concentration
Coordination with RACC River ISCO sampling efforts and team
5,000 10,000 15,000 20,000 25,000
1-Apr 1-May 1-Jun 1-Jul 1-Aug 1-Sep 1-Oct 1-Nov
Cumulative Sediment Load (tonnes)
2013
1 10 100 1000 0.1 10 1000
TSS (mg/L) Turbidity (NTU) 1-Jun 1-Jul 1-Aug 1-Sep 1-Oct
2014 Discharge (cfs) Turbidity (NTU)
Clustering of storm events using a self-organized map
Discharge Time TSS Discharge TSS Discharge Discharge TSS TSS Time
Time to Peak Peak Discharge Max Rainfall Rate Baseflow at Start Total Load
. . .
Storm Event Characteristics Sediment Response Pattern
Clockwise Counter- Clockwise Figure 8 Statistical Mapping Other
Hierarchical ANN model uses predicted streamflows as an input to predict sediment load Inputs Output Suspended Sediment Load
Test predictions in other similar watersheds
Utilize future climate simulations of meteorological data
Turbidity (NTU) 15-Min Rainfall (in) Time (days)
Winooski River Gravel Roads Mad River Floodplain Deposition Streambanks (Forested) Hillslopes Agricultural Fields Urban/ Suburban Upper Basin Streambank /Slopes
SenseFly eBee Unmanned Aircraft System (UAS) used
Six comparison sites with terrestrial LiDAR
Hamshaw, S.D., Dewoolkar, M., Rizzo, D.M., O’Neil-Dunne, J., Frolik, J., Bryce, T
., Engel, T . (2016). Quantifying streambank erosion: a comparative study using an unmanned aerial system (UAS) and a terrestrial laser scanner, Earth Surface Processes and Landforms (In Process)
Expected Publications:
Recurrent Counterpropagation Neural Network for Predicting Suspended Sediment Load in Ungauged Catchments, to be submitted to Journal of Hydrology
Classification and Prediction of Event-Based Suspended Sediment Flux using Artificial Neural Networks, to be submitted to Hydrological Processes
Sediment yields and storm event dynamics in the Mad River watershed, to be submitted to Journal of Hydrology Regional Studies
National Science Foundation Graduate Research Fellowship under Grant No. DGE- 0925179.
Vermont EPSCoR with funds from the National Science Foundation Grant EPS- 1101317.
Vermont Water Resources & Lake Studies Center Grant
With additional support by:
U.S. Department of Transportation Office of the Assistant Secretary for Research & Technology
NSF Grant CMMI-1229045
Richard Barrett Foundation
Robert & Patricia Switzer Foundation
And thanks to:
UVM Spatial Analysis Lab
Beverley Wemple Lab
Bowden Watershed Research Lab
2000 4000 6000 8000 10000 12000
Folsom Brook Freeman Brook High Bridge Brook Mill Brook Shepard Brook
Catchment TSS Load tonnes/km2
Eric Smeltzer (unpublished 2013) Estimates of annual sediment loads for Mad River tributaries.