HW 8 Excel sheets
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University of South Florida *
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2045L
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Geography
Date
Dec 6, 2023
Type
xls
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6
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Name ____________________
Practical Problems in Groundwater Hydrology
Chapter 5 - Problem 1
Page 1 of 6
Introduction
Introduction
This assignment uses Hazen's method (1911) to estimate values of hydraulic conductivity for the sandy sediments in the glaciated region of North Canton, Ohio. This method allows for the estimation of hydraulic conductivity from grain-size analysis but is limited in its application to sand and gravel lithologies. (Refer to the Reference Book
for the appropriate equations and principles needed for completion of the exercise.)
Five sediment samples were obtained for sieve analysis using a split-spoon sampler during drilling of several exploratory boreholes by the Ohio Drilling Company. The five sediment samples used for this exercise were taken from one soil boring (Boring #13) located in the Freedom Street Well Field operated by the city of North Canton. The results of the standard sieve analysis appear in Table 1 on the "
Grain-Size Analysis
" worksheet. Instructions
Calculations based on the grain-size analysis of sands in Table 1 on the "
Grain-Size Analysis
" worksheet are used to determine uniformity coefficients (Table 2) and hydraulic conductivities (Table 3). 1. Calculate the percent sample retained (% retained) and the cumulative percent finer by weight (cum % finer) for each sieve size for all five samples listed in Table 1. Summation of the percent sample retained in the right-h and column should be 100%. For each sample, the first column (0.3750 in sieve) should have 0% retained and 100% cummulative finer.
Note
: when calculating percentages you must multiply the quotient by 100. Using the excel "percentage" formatting option allows you to display the correct percentage in the table without multiplying by 100, but this will cause your graph to be incorrect.
ESTIMATING HYDRAULIC CONDUCTIVITY USING THE HAZEN GRAIN-SIZE METHOD
REMEDIATION OF TCE AND PCE AT NORTH CANTON, OHIO
Thin section of sandy-sized sediment showing quartz particles (clear) and porosity (blue) (courtesy of Dave Houseknecht, USGS Reston).
Name ____________________
Practical Problems in Groundwater Hydrology
Chapter 5 - Problem 1
Page 2 of 6
Introduction
2. Once Table 1 is complete, the grain-size distribution curves should automatically plot on the "
GS Graph
" worksheet showing the cumulative percent finer by weight grain-size distribution for each of the five sediment samples. Make sure that your graph looks correct. Note that the x-axis values are reversed from most graphs with the high values on the left and low values on the right.
3. Determine the D60 and D10 values for each sample using the grain-size distribution graph and record them in Table 2.
4. Calculate the uniformity coefficient using the D60 and D10 values in Table 2. You can find the equation for the uniformity coefficient in the supplementary information provided.
5. Calculate the hydraulic conductivity for this poorly sorted, fine sand using the Hazen equation in both cm/s and ft/d [Table 3] for each sample. Refer to equation 5-4 and Table 5.1 in the Reference Book and calculate the average K value at the bottom of the table. Notice that Table 5.1 gives ranges for Hazen's C. Use the mean of the range given for a very fine, poorly sorted sand as your Hazen's C for all samples.
6. Calculate the transmissivity of each layer in Table 4 along with the average horizontal hydraulic conductivity (see Reference Book
). Recall that the average horizontal K is the weighted average of the Ks of each layer (weighted by layer thickness).
7
. Answer the questions provided in the "
Questions
" worksheet.
Reference
Hazen, A. 1911. Discussion: Dams on sand foundations. Transactions, American Society of Civil Engineers. 73:199.
Name ____________________
Practical Problems in Groundwater Hydrology
Chapter 5 - Problem 1
Page 3 of 6
Questions
Questions (6 Total)
Question #1. Which layers are considered poorly sorted based on equation 5-3 in the
Reference Book and why?
Question #2. Which layers are considered well sorted based on equation 5-3 in the Reference Book
and why?
Question #3.
What value of the Hazen coefficient (C) would best describe all five layers in the aquifer based on size and sorting of the samples? Why?
Question #4. Describe the uncertainties that exist when using the Hazen equation for estimating hydraulic conductivity values.
Question #5.
What is the difference between your calculated average K and the calculated average horizontal hydraulic conductivity (K
havg
)? Why is there a difference? ESTIMATING HYDRAULIC CONDUCTIVITY USING THE HAZEN GRAIN-SIZE METHOD
REMEDIATION OF TCE AND PCE AT NORTH CANTON, OHIO
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Name ____________________
Practical Problems in Groundwater Hydrology
Chapter 5 - Problem 1
Page 4 of 6
Questions
Question #6.
Based on the available data, which of the five layers would transmit the most water and why? Which layer would transmit the least water and why?
Name ____________________
Practical Problems in Groundwater Hydrology
Chapter 5 - Problem 1 Page 5 of 6
Grain-Size Analysis
Sieve Size (in)
0.3750
0.1310
0.0970
0.0780
0.0600
0.0390
0.0203
0.0116
0.0041
Fines
Grain Size (phi)
-3.25
-1.74
-1.28
-1.00
-0.60
0.00
0.95
1.75
3.30
Pan
Totals
Grain Size (mm)
9.50
3.34
2.43
2.00
1.52
1.00
0.52
0.30
0.10
0.05
#1
Weight (gm)
0.0
107.9
29.0
20.7
29.0
62.2
83.0
49.8
29.0
4.15
414.8
% retained
0.0
26.0
7.0
5.0
7.0
15.0
20.0
12.0
7.0
1.0
100
cum % finer
100
74.0
67.0
62.0
55.0
40.0
20.0
8.0
1.0
0.0
#2
Weight (gm)
0.0
29.7
7.4
3.7
7.4
18.5
92.7
159.4
48.2
3.7
370.7
% retained
0.0
8.0
2.0
1.0
2.0
5.0
25.0
43.0
13.0
1.0
100
cum % finer
100
92.0
90.0
89.0
87.0
82.0
57.0
14.0
1.0
0.0
#3
Weight (gm)
0.0
65.4
19.2
15.4
19.2
42.3
65.4
84.6
69.2
3.8
384.6
% retained
0.0
17.0
5.0
4.0
5.0
11.0
17.0
22.0
18.0
1.0
100
cum % finer
100
83.0
78.0
74.0
69.0
58.0
41.0
19.0
1.0
0.0
#4
Weight (gm)
0.0
132.4
24.1
16.0
16.0
32.1
44.1
44.1
60.2
32.1
401.1
% retained
0.0
33.0
6.0
4.0
4.0
8.0
11.0
11.0
15.0
8.0
100
cum % finer
100
67.0
61.0
57.0
53.0
45.0
34.0
23.0
8.0
0.0
#5
Weight (gm)
0.0
85.36
23.28
15.52
15.52
31.04
42.68
46.56
93.12
34.92
388.0
% retained
0.0
22.0
6.0
4.0
4.0
8.0
11.0
12.0
24.0
9.0
100
cum % finer
100.0
78.0
72.0
68.0
64.0
56.0
45.0
33.0
9.0
0.0
BORING #13
Sample #1: Depth =
48 to 55 feet
cu is uniformit
D60 (mm)
D10 (mm)
Cu
Sample #2: Depth =
55 to 62 feet
Sample #1
1.80
0.33
5.5
Sample #3: Depth =
62 to 65 feet
Sample #2
0.56
0.22
2.5
Sample #4: Depth =
65 to 69 feet
Sample #3
1.15
0.18
6.4
Sample #5: Depth =
69 to 76 feet
Sample #4
2.40
0.13
18.5
Sample #5
1.40
0.11
12.7
Layer
D10 (cm)
Hazen's C
K (cm/s)
K (ft/d)
(ft/d)
(ft)
(ft/d)
Sample #1
0.0330
75
0.0817
231
Sample #1
231
1
7.0
1620
57.9
Sample #2
0.0220
65
0.0315
89
Sample #2
89
2
7.0
624
22.3
Sample #3
0.0180
60
0.0194
55
Sample #3
55
3
3.0
165
5.9
Sample #4
0.0130
50
0.0085
24
Sample #4
24
4
4.0
96
3.4
Sample #5
0.0110
48
0.0058
16
Sample #5
16
5
7.0
115
4.1
Ave K =
83.2
83
Total
28.0
18.7
K
m
b
m
K
m * b
m
(K
m * b
m
)/b
(ft
2
/d)
K
h
avg
=
Table 1: Results of Grain-Size Analysis
Table 2: Uniformity Coefficient
Table 3: Hydraulic Conductivity
Table 4: Equivalent Horizontal Hydraulic Conductivity (K
havg
) & Transmissivity (K
m
* b
m
)
sample
Name ____________________
Practical Problems in Groundwater Hydrology
Chapter 5 - Problem 1
Page 6 of 6
GS Graph
0.01
0.10
1.00
10.00
100.00
0
10
20
30
40
50
60
70
80
90
100
GRAIN-SIZE DISTRIBUTIONS
#1
Column S
Column S
Grain Size (mm)
Cumulative Percent Finer by Weig
COARSE
SAND
GRAVEL
M. SAND
F. SAND
FINES
SAMPLE
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