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

Presentation Outline Motivation Project Goals Procedure Results Conclusions

Project Motivation and Background

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.

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

Longitudinal Physical Controls Downwelling Upwelling

Solute Transport

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.

PROCEDURE

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

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

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.

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.

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.

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.

RESULTS

RESULTS Unit Maps for 4 reaches.

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: 0.0076 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: 0.0055 Average Pool Length: 80 m Average Riffle Length: 38 m Average Rapid Length: N/A

RESULTS Unit Maps for 4 reaches Unit distribution

RESULTS Unit Maps for 4 reaches Unit distribution Riffle analysis

CONCLUSIONS

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

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.

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.

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.