1. Physical Controls on Hyporheic Flow By Randy Goetz
Longitudinal Bedform Classification for Comparison of Restored and Unrestored Reaches of the Provo River, Utah
Physical Controls on Hyporheic Flow By
Randy Goetz

2. Presentation Outline Motivation Project Goals Procedure Results
Conclusions

3. Project Motivation and Background

4. The Provo River Restoration Project
Restore 13 km of channelized river to a complex, dynamic, self-sustaining system.
Complete channel reconfiguration, increase habitat complexity, frequent floodplain inundation, and rejuvenate riparian habitat.

5. Hyporheic Flow
Integral component of nutrient transport and cycling processes in rivers
Hydrological and biological intermediary between stream and riparian habitats
Potentially critical to the successful restoration of stream ecosystems

6. Longitudinal Physical Controls
Downwelling
Upwelling

7. Solute Transport

8. Project Goals
To apply a simple algorithm to automate classification of bedforms (riffles, pools, rapids) from total station survey data.
Quickly classify and visualize geomorphic unit maps.
Compare bedform spatial and physical characteristics amongst restored and unrestored reaches of the Provo River.

9. PROCEDURE

10. PROCEDURE
Bring arbitrary total station survey coordinates into UTM for display with digital aerial photos.

12. PROCEDURE
Bring arbitrary total station survey coordinates into UTM for display with digital aerial photos.
Adjust survey points

14. PROCEDURE
Bring arbitrary total station survey coordinates into UTM for display with digital aerial photos.
Adjust survey points
Create a line feature class with slope information.

16. PROCEDURE
Bring arbitrary total station survey coordinates into UTM for display with digital aerial photos.
Adjust survey points
Create a line feature class with slope information.
Apply algorithm to classify each segment based on water surface slope.

18. PROCEDURE
Bring arbitrary total station survey coordinates into UTM for display with digital aerial photos.
Adjust survey points
Create a line feature class with slope information.
Apply algorithm to classify each segment based on water surface slope.
Create a new polygon feature class with segments surrounding each unit type.

20. PROCEDURE
Bring arbitrary total station survey coordinates into UTM for display with digital aerial photos.
Adjust survey points
Create a line feature class with slope information.
Apply algorithm to classify each segment based on water surface slope.
Create a new polygon feature class with segments surrounding each unit type.
Create a new line feature class whose segments comprise the center line of each unit. Join the attribute table of this feature class to the polygon feature class for a final table with unit type, and length information.

22. RESULTS

23. RESULTS
Unit Maps for 4 reaches.

24. Restored 1
Complete 2000
Length: 828 m
Average Slope: 0.011
Average Pool Length: 55 m
Average Riffle Length: 45 m
Average Rapid Length: 28 m
Unrestored 1
Current Construction
Length: 526 m
Average Slope:
Average Pool Length: 29 m
Average Riffle Length: 44 m
Average Rapid Length: 11 m
Unrestored 2
Current Construction
Length: 652 m
Average Slope: 0.013
Average Pool Length: 72 m
Average Riffle Length: 57 m
Average Rapid Length: 32 m
Restored 2
Complete 2003
Length: 590 m
Average Slope:
Average Pool Length: 80 m
Average Riffle Length: 38 m
Average Rapid Length: N/A

25. RESULTS
Unit Maps for 4 reaches
Unit distribution

27. RESULTS
Unit Maps for 4 reaches
Unit distribution
Riffle analysis

29. CONCLUSIONS

30. CONCLUSIONS
The use of GIS in classifying bedforms proved relatively fast, and useful in visualizing unit location and distribution.

31. CONCLUSIONS
The use of GIS in classifying bedforms proved relatively fast, and useful in visualizing unit location and distribution.
Analysis of survey data was enhanced through GIS processing.

32. CONCLUSIONS
The use of GIS in classifying bedforms proved relatively fast, and useful in visualizing unit location and distribution.
Analysis of survey data was enhanced through GIS processing.
Results suggest that there are not consistently significant physical differences in longitudinal controls between restored and unrestored reaches.

33. CONCLUSIONS
The use of GIS in classifying bedforms proved relatively fast, and useful in visualizing unit location and distribution.
Analysis of survey data was enhanced through GIS processing.
Results suggest that there are not consistently significant physical differences in longitudinal controls between restored and unrestored reaches.
Enhancing the data content should lead to a useful predictive and comparative tool in forming and testing hypothesis concerning geomorphic controls on hyporheic exchange.