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Intro to Geomorphology (Geos 450/550) Lecture 5: watershed analyses field trip #3 – Walnut Gulch watersheds estimating flood discharges.

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Presentation on theme: "Intro to Geomorphology (Geos 450/550) Lecture 5: watershed analyses field trip #3 – Walnut Gulch watersheds estimating flood discharges."— Presentation transcript:

1 Intro to Geomorphology (Geos 450/550) Lecture 5: watershed analyses field trip #3 – Walnut Gulch watersheds estimating flood discharges

2 Lidar shaded relief image of WGEW

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7 Liquid water flow predicts: observed runout distance if freezing rate is tuned optimally a single distal lobe inconsistent with observations

8 Please read: Pearthree and Calvo (1987)

9 Gully head migration:

10 Rainfall

11 Runoff

12 Channel geometry

13 Heat, mass exchange (flux tower)

14 Water budget

15 Dispersion of flood waves

16 Manipulation experiments

17 Sediment transport:

18 The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL Types of Transport Suspension occurs here Particles entrained at the bed-load layer Suspended load transported by convection, diffusion, and turbulence Figure from Chanson, p. 200

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20 Isotopic tracers

21 How much water? Method 1: Event rank analysis Rank all events – decreasing size –rank of event (m) –number of years (n) Frequency = f = m / n Recurrence Interval = T = 1 / f (= n / m)

22 Frequency in Pictures Monthly Discharge (Q in mm)

23 Frequency in Pictures Monthly Discharge (Q in mm)

24 Frequency in Pictures  200 mm rank (m) = 12 m=12 n=number of years =10 F=m / n =12 / 10 =1.2 On average, monthly Q will be  200 mm 1.2 times a year T=return period =1 / F =1 / 1.2 =0.833 years Monthly Discharge (Q in mm)

25 Frequency in Pictures rank (m) = 1 m=1 n=number of years =10 F=m / n =1 / 10 =0.1 On average, monthly Q will be  345 mm 0.1 times a year T=return period =1 / F =1 / 0.1 =10 years largest event Monthly Discharge (Q in mm)

26 Runoff in WGEW

27 Frequency-size distribution, wildfire SNP

28 How much water? Method 2: Regression analysis Compute contributing area using DEM Estimate Q n using regression curves

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33 Suspended sediment yield is a function of: relief/slope, precipitation, temperature, vegetation, and soil texture at all points in a drainage basin

34 Conceptual model for sediment detachment from hillslopes: Rainsplash is the key mechanism for sediment release from hillslopes. Rainsplash is proportional to rainfall (not precipitation) rate and varies inversely with leaf area index (LAI). LAI varies from 0 to approx. 8. With each increase in LAI value of 0.5, rainsplash disturbance drops by 50%, i.e.

35 Detachment rate varies nonlinearly with slope: This study Nearing et al. (1997) based on USLE datasets

36 This model distinguishes detachment and transport. Detachment is primarily a function of rainsplash, which in turn is a function of rainfall intensity and leaf area index (LAI). Transport is a function of slope (at the hillslope scale) and bed shear stress and sediment texture (and the watershed scale). D(x,y,d) = detachment rate (kg m –2 yr –1 ), c 1 is a free parameter (dimensionless) calibrated to measured global sediment discharge data, ρ b is the bulk density of the soil (kg m –3 ), f d is the fraction of the soil within each soil texture bin of grain diameter d (dimensionless), S is slope gradient (dimensionless), R k is the mean monthly rainfall (m yr –1 )), and L k is the mean monthly LAI (dimensionless). The first equation provides a map of the average detachment rate for every month. Sediment is routed downslope in suspension if the Rouse number is smaller than one (the definition of suspended sediment).

37 More on Rouse number calculation: Shear velocity (in the Rouse number denominator) is a function of slope and flow depth (related to unit discharge). However, flow depth varies by only one order of magnitude over a wide range of scales while slope varies by 4 – 5 orders of magnitude. So, we assume that Rouse number varies only with slope.

38 Input data layers: (5 arcmin or 10 km resolution)

39 Brute-force model calibration:

40 Model results:

41 Model predictions versus observed data:

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44 Model reproduces observed relations between sediment delivery ratio and drainage basin area (top), yield and basin area (middle), and yield and average basin slope (bottom).


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