Ensc 4400 Project PDF
Transcript of Ensc 4400 Project PDF
Predicting Hydraulic Conductivity and Flow Rate of a Saturated Porous Media: A Modeling Perspective
By: Veatasha H. Dorsey
ENSC 4400 Environmental Modeling and Systems Dynamics
Instructor: Garrett Love, PhD
May 5, 2011
Introduction
The rate at which water flows through a porous media, or hydraulic conductivity, provides many useful
applications to our understanding of the hydrologic cycle. It is difficult to infer results from hydraulic
conductivity from measurements made at the sample level in application to a more realistic scenario.
Furthermore, incidences of error and disturbances are high when collecting hydraulic conductivity data. For
those reasons it is challenging to characterize the hydraulic conductivity of an aquifer, or even a small cross-
sectional area through direct laboratory experimentation. Modeling through STELLA offers the ability to
manipulate different parameters measured at the sample level (soil column) in order to simulate a real-world
dynamic system such as a groundwater aquifer. Policy can also be inferred from the model in the areas of rate
of recharge, groundwater use, depletion and transport of contaminants. In the area of groundwater
contamination hydraulic conductivity is an important soil property because the size of pore spaces largely
determine the transport and potency of the contaminant.
Materials and Methodology
Empirical Method
In this experiment, the saturated hydraulic conductivity or coefficient of permeability, K, was measured using the constant head method with a formula
K = VL/Ath
wherein V is the collected volume of water (cm3), L is the length of the soil column (cm), A is the cross-
sectional area of the column, t is the total time required to get volume (s) and h is the hydraulic head.
Essentially, the volume, V, of water that flows through the column during time, t, determines the saturated
hydraulic conductivity.
Limitations to this experiment primarily lie within the difficulty of determining the hydraulic conductivity of a
saturated media. The movement within media, inflow of water, and air pockets present in the medium
collectively impede on accuracy.
Systems Dynamics Modeling Method
The essence of systems dynamics lies in its focus on feedback mechanisms and rates of change over time. With
the empirical data, or saturated hydraulic conductivity of coarse-grained soil, collected utilizing the constant
head permeability, this portion of the study attempts to model the dynamic system by altering certain
parameters such as the change in head (∆h), cross-sectional area and length. Changing the aforementioned parameters could essentially allow for the simulation of falling head permeability used for fine grained soils. The formula for the falling head permeability is
K = aL/At * ln(h0-h1)
wherein a is the area of the burette, h0 is the initial height of water, h1 is the final height of water and t is the
time required to get a head drop of ∆h. The falling-head test essentially consists of measuring change in head
and quantity of flow over time.
The goal of this model is to attempt to simulate for conditions with falling head permeability (fine-grain soils)
by using the saturated hydraulic conductivity estimate found using constant head permeability (coarse-grain
soils). The ability to manipulate the flow (Q) by changing specified parameters: hydraulic conductivity (K),
cross-sectional area (A), head loss (∆h) and length (L) and verify the results mathematically using relevant
formulas will demonstrate a successful model. The flow equation used for the STELLA model is
Q = KA ∆h/L
STELLA modeling is a technology that can be used to better understand the relationships between components
of any system. It will also enable us to project changes into the future, subject to changes today. The stocks, or
units which will change in time, is the exited water (volume) out of the tube in the permeameter and the
hydraulic head. The flow into the “exited volume” stock (Figure.1) indicates a rate of change which is
coincidentally termed the “flow of water into the graduated cylinder (stock)”. The changeable parameters
feeding into the flow are the variables in the equations already listed.
Fig.1 Stella© Model for Constant and Falling Head Permeability
Stella Equation and “Switches/Dials”
Needless to say, one unit that is not included as a parameter in the STELLA model is time. Flow rates and
hydraulic conductivities are in terms of volume and length per unit time respectively. Consequently, the
functions used to compute flow rates will be different for different time units. Calculating flow per day (time
step of one day) will differ from flow per minute (time step of one minute). A time step that progressively
moves toward the termination at designated “length”, or DT, should have the same dimension as time. If DT is
too large the model becomes numerically unstable. Likewise, if DT is too small it will take longer to run the
model. In this study I used the common modeling DT values ≈ 0.5, 0.25, .0125.
The instrumentation used in the experimental portion of this study was a constant/falling head permeameter and two graduated cylinders.
Results
Constant Head Method Experimental DATA
Volume (v) Time (t) Flow Q (V/t) hydraulic conductivity K
50 9.7 5.154639175 0.097081698
100 17.3 5.780346821 0.108866181
150 26.9 5.576208178 0.105021465
200 33.6 5.952380952 0.112106246
250 42 5.952380952 0.112106246
Slope = 5.8529 0.110232637
50 7.5 6.666666667 0.071150097
100 14.75 6.779661017 0.072356031
150 21.75 6.896551724 0.073603549
200 29.25 6.837606838 0.072974459
250 36.5 6.849315068 0.073099415
Slope = 6.8449 0.073052295
50 3.7 13.51351351 0.086533902
100 7.25 13.79310345 0.088324259
150 11 13.63636364 0.087320574
200 14.6 13.69863014 0.087719298
250 18.2 13.73626374 0.087960285
Slope = 13.709 0.087785702
50 2.1 23.80952381 0.095290309
100 4.2 23.80952381 0.095290309
150 6.3 23.80952381 0.095290309
200 8.3 24.09638554 0.096438385
250 10.4 24.03846154 0.096206562
Slope = 23.996 0.096036623
cross-sectional area (A) head loss (∆h) length (L)
45.6 17 14.6
30
50
80
Constant Head System (Comparative Graph)
Number K Q
1 0.11023 5.8529
2 0.07305 6.8449
3 0.08779 13.709
4 0.09603 23.996
Falling Head Permeability (Comparative Graph)
Number K Q
1 0.11023 5.8529
2 0.07305 6.8449
3 0.08779 13.709
4 0.09603 23.996
Falling Head Permeabilities at Various Head Lengths (standard h0=0.05cm)
Head cm Experimental Stella Relative
TIME (s) TIME (s) Error
0 0 0 -----------
17 13 13.24 1.81%
30 24 23.81 0.80%
50 41 39.24 4.49%
80 64 62.8 1.91%
Head length vs. Time
90
Vo
lum
e 80
70
60
50
He
ad
/Ex
ite
d
40
30 Head/Exited Volume vs. Time
20
10
0
0 10 20 30 40 50 60 70
Time (s)
Conclusion
Based on the indicated results and parameters used in the model, this study concludes that the model is indeed
efficacious in predicting hydraulic conductivities at various head lengths. The volume vs. time graphs as well as
the comparative graphs (constant head permeability) displays a linear relationship found under a constant head
system, wherein the exited volume is the changing variable and the other parameters remain constant. Under
falling head conditions, the theory stands in the representation of the comparative graphs shown above. The rate
of flow, Q, under falling head conditions, displays decay, which is the inverse of the natural log function present
in the falling head calculation.
k
Soil Type cm/sec
Clean Gravel 1.0 to 100
Coarse Sand 0.01 to 1.0
Fine Sand 0.001 to 0.01
Silty Clay 0.00001 to 0.001
Clay Less Than 0.000001 Hydraulic Conductivities for various soil/clay types. Average K for experiment using coarse grained aquarium gravel (0.091776814)
Some potential sources of error in conducting both the constant and falling head experiments are air trapped in
sample or sample not 100% saturated; soil was washed from the sample; some of the head loss occurred in the
apparatus rather than in the sample; not starting and stopping stop watch at correct point; sample settling during
test; sample disturbed by flowing water at inlet and significant figures.