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Development of a Geomorphic Model to Predict Erosion of Pre-Dam Colorado River Terraces Containing Archaeological Resources. Kate Thompson and Andre Potochnik Principal Investigators SWCA, Inc. Environmental Consultants and Gary O’Brien, Ron Ryel, and Lynn Neal. Problem.
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Development of a Geomorphic Model to Predict Erosion of Pre-Dam Colorado River Terraces Containing Archaeological Resources Kate Thompson and Andre Potochnik Principal Investigators SWCA, Inc. Environmental Consultants and Gary O’Brien, Ron Ryel, and Lynn Neal
Problem Apparent rapid gully erosion of pre-dam terraces during the past two decades has caused loss of numerous cultural sites in Grand Canyon river corridor
Objectives of Study • Test hypotheses: • Has erosion increased in the post dam period? • If so, is erosion climate driven or dam-related? • Develop a model that predicts relative vulnerability of sites to erosion
Processes Driving and Resisting Erosion Illustrated by Gary O’Brien
Part 1 Test Hypotheses
Null Hypothesis: Degree of gully erosion has remained unchanged from the pre-dam to post-dam period • Test 1 - Use air photos to determine the degree of channel lengthening since 1965 • Test 2 - Compare amount of gully erosion in Cataract Canyon (control section) to Furnace Flats section in Grand Canyon
Climatic Variation Hypothesis: High precipitation anomalies in the post-dam period increases severity of gully erosion • Test 1 - Evaluate previous research on variation of 20th century precipitation • Test 2 - Investigate variation in monsoon season rainfall at equivalent time periods before and after closure of the dam
Decadal Variation in 20th Century Precipitation Webb et al. in prep.
Monsoon Precipitation for 13 Weather Stations,Colorado River Corridor (> 50 mm / month) Line of equal events
Monsoon Precipitation for 13 Weather Stations, Colorado River Corridor (>25 mm/day) Line of equal events
Base-Level Hypothesis: Reduction of sand supply and large floods in the post-dam period increases degree of gully erosion • Test 1 - Report on rebuilding of high-elevation sand bars in both Grand Canyon and Cataract Canyon • Test 2 - Assess catchment and river processes at each study site in Grand Canyon
Granite Park19631000 cfs(Belnap collection) Granite Park 1996 8000 cfs (Lisa Leap photo)
Old Unkar Camp 1963 (Belnap collections) Old Unkar Camp 1998
Cross Canyon March 1999 Cross Canyon August 1999
Rapid 12 March 1999 Rapid 12 August 1999
Sites Supporting Base-Level Hypothesis n = 119 < 3 not supported = 3 weakly supported = 4 supported = 5 strongly supported
Part 2 Geomorphic Model for the Small-Catchment System
Steps to Building Geomorphic Model • Classify catchments by geomorphic setting • Construct process-based conceptual model • Construct predictive mathematical model • Use model to predict vulnerability of individual sites
Geomorphic Settings Illustrated by Gary O’Brien
Mathematical Model - Step 1 • Quantify driving and resisting parameters • Q = C*I*A (Am. Soc. Civil Engineers) Total runoff (m3 ) upper catchment • Axt = Wt * Dt Cross-sectional area of terrace segment
Mathematical Model - Step 2 • Vr = ln(Q)/ln[Axt * (1+TF)] Vr is raw vulnerability • FVCi = (Vr * FVCi-1)/100 FVCi is cumulative vulnerability thus: vulnerability rating of archaeological terrace = Vr of highest terrace and: vulnerability rating/catchment = mean FVCi
Vulnerability Plot n = 128 Grand Canyon Cataract Canyon 1.2 1 0.8 Threshold line Gully depth ratio 0.6 0.4 0.2 0 0 20 40 60 80 100 Vulnerability of top terrace
Conclusions(hypotheses testing) • Gully erosion in terraces is more severe from 1978-1999 than 1942-1977 • Gully erosion is more extensive in Grand Canyon today than in Cataract Canyon control site. • Gully erosion is increased due to both a high precipitation anomaly and a decrease in sediment renewal. • 78% of channels draining archaeological sites show most elements of restorative base-level process • Eolian redistribution of fresh flood sand is on-going at about 50% of catchments
Conclusions(the predictive model) • Process-based model works best for this small-catchment geomorphic system • it simplifies enormous variety and complexity of small catchments • Statistically based model does not work well • poor correlation of gully depth/width to most measured parameters • Highest vulnerabilities are function of large catchment area and narrow terrace width
Recommendations • Site mitigation achieved by slowing erosion: • decrease stream power • increase terrace diffusivity • Data recovery suggested at sites where: • outliers occur on plot • gully-depth ratios are close to 1.0 • there are few base-level controls • Use vulnerability plot to: • identify high risk sites • use as a base to track how points shift in future
Future Work • Integrate mathematical model results with mainstem studies (Wiele, 2000). • Refine model through application and observation. • Quantify drainage density of uppermost terrace: could be more important than gully depth and width. • Eolian studies: quantify redistribution of sand. • Repeat historic photography.