Virginia Smith CE397 – Spring 2009 Sediment in the Trinity River Basin 1 Virginia Smith CE 397
Outline The Trinity River Basin Sediment Data Trends of the Main Channel Trends of the Catchments Conclusions 2 Virginia Smith CE 397
The Trinity River Basin Large population and growing Lots of agriculture 80-90% of the basin’s water supply is from surface water 28 water supply reservoirs The first was in 1911 The master planning has 13 remaining reservoirs to built 3 Virginia Smith CE 397
Sediment Data in the Basin 4 Virginia Smith CE 397
Classifying the Gages 5 Virginia Smith CE 397
Mainstream Sediment Gages 6 Virginia Smith CE 397
Sediment Rating Curves 7 Virginia Smith CE 397
Dam Influence 8 Virginia Smith CE 397
Dam Influence 9 Virginia Smith CE 397
Catchment Sediment Gages 10 Virginia Smith CE 397
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Delineating Catchments 13 Virginia Smith CE 397
Natural Regions 14 Virginia Smith CE 397
Land Cover 15 Virginia Smith CE 397
Data Attached to Counties 16 Virginia Smith CE 397
Regression Variables Collected Hill slope Storm Depth Vegetation Density Precipitation Precipitation Intensity Urban Land Agricultural Land Forested Land Variance Inflation Factors 17 Virginia Smith CE 397
Correlation Precipitation / Precipitation Intensity / Vegetation Cover Density Hill slope/Erosion Rate Agriculture and Forest Land 18 Virginia Smith CE 397 HillslopeAvg Flood DepthErosionsVegetationPrecipitationPrecip IntensityUrbanAgricultureForest Hillslope1 Average Flood Depth Erosions (Tons/year) Vegetation Cover Density Precipitation (mm/month) Precipitation Intensity (mm/month) Urban Agriculture Forest
Regression SAS Conc. = Hill slope*(5.16) t=5.16 R 2 =0.792 p-value = F = Excel matched the results of SAS 19 Virginia Smith CE 397
Conclusions Virginia Smith CE Sediment Rating Curves: a greater slope means a higher concentration Dams have influenced the transport of sediment in the main channel Hill slope is the main influence of sediment in the Trinity River Basin
Questions Virginia Smith CE
Mainstream Flow Duration Curves 22 Virginia Smith CE 397
SAS Regression Data Virginia Smith CE
Excel Regression Data Virginia Smith CE SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations8 ANOVA dfSSMSF Significan ce F Regression Residual Total Coefficien ts Standard Errort StatP-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept0#N/A Hillslope
Storm DepthData Virginia Smith CE Storm Depth Rainfall depth during a storm L moment statistics Based on hourly rainfall during the storm duration Data Data by county Data in inches
Correlation Virginia Smith CE Spearmans Rho HillslopeAvg Flood DepthErosionsVegetationPrecipitationPrecip IntensityUrbanAgricultureForest Hillslope1 Average Flood Depth Erosions (Tons/year) Vegetation Cover Density Precipitation (mm/month) Precipitation Intensity (mm/month) Urban Agriculture Forest Kendall's Tau HillslopeAvg Flood DepthErosionsVegetationPrecipitationPrecip IntensityUrbanAgricultureForest Hillslope1 Average Flood Depth Erosions (Tons/year) Vegetation Cover Density Precipitation (mm/month) Precipitation Intensity (mm/month) Urban Agriculture Forest
NCRS Dams 27 Virginia Smith CE 397