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Problem set 7 for a soil physics course, covering topics such as co2 distribution in the root zone, soil heat capacity, temperature variation, and hydraulic conductivity. Students are required to calculate various quantities and analyze data provided in the document.
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SSC 107 Soil Physics Dec. 1, 1999 Due Dec. 8, 1999 Problem Set #
o m
2 m
g (^) D z C
z 2 D
C (z) +
α
α =−
Where Co is the CO 2 concentration at the soil surface, Dm is the apparent diffusion coefficient, z is the depth, L is the depth to an impermeable layer, and α is the CO 2 production rate and assumed to be constant over time and depth. Assume that the bulk-air diffusion coefficient D ag is 0.19 cm^2 /sec, the total porosity is 0.45 cm^3 /cm^3 , the water content is 0.35 cm^3 /cm^3 over the depth L of 600 mm. If the CO 2 concentration at the surface is 400 ppm, show how the consumption rate affects the CO 2 distribution in the root zone. List any assumptions you make.
a. Calculate the volumetric heat capacity of the soil (heat required to raise the temperature of 1 cm^3 of wet soil by 1 oC.) b. Calculate the heat capacity of the soil on a mass basis. c. Calculate the thermal diffusivity if the thermal conductivity is 18 cal/cm hr oC. d. If this soil exists in a field, calculate the heat required to increase the temperature of a 15 cm deep soil, 2 hectare in area, by 5 oC.
a. Compute the angular frequency ω=2π/τ with τ denoting time in hours for one complete temperature cycle. b. Compute the damping depth of the soil if the thermal diffusivity of the soil material is 10 cm^2 /hr. c. Determine the amplitude of the wave (Ao) at the surface and calculate the amplitude of the temperature wave at the 15-cm depth. d. Compute the maximum temperature change at the 15-cm depth. e. Compute the time (in hours) at which the maximum temperature occurs at the 15- cm depth.
f. Sketch the temperature cycle for the 15 cm depth in the diagram, in relation to the surface temperature wave.
a. Determine the mean, standard deviation, and coefficient of variation, b. Take the natural log of the data and determine the true mean, true standard deviation and the true coefficient of variation of the log transformed values, c. Make a fractile diagram in order to evaluate if the hydraulic conductivity values are better described by a normal or a ln normal distribution.
Sample # K(cm/day) 1 0. 2 64 3 1. 4 38. 5 2. 6 12. 7 32. 8 17 9 387 10 25. 11 31. 12 13. 13 35. 14 1. 15 41.
0
5
10
15
20
25
30
0 6 12 18 24
time, hrs
temperature, oC