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2022 IDS Oral Presentation
R Caleb Bruhn, Jorge Guzman, Prasanta K Kalita, Richard A Cooke
Seepage Considerations
in Drainage Canal Design
for Groundwater Quality
Why is it important to
consider seepage in
drainage ditch design?
Introduction
Surficial aquifers are important
Fresh groundwater withdrawals in Iowa, Michigan, Minnesota, and
Wisconsin during 1985, million gallons per day (USGS, 2000)
Surficial aquifer system – 1,495
Cretaceous aquifer – 87
Pennsylvanian aquifer – 88
Mississippian aquifer – 67
Silurian–Devonian aquifer – 224
Upper carbonate aquifer – 20
Cambrian–Ordovician aquifer system – 548
Jacobsville and crystalline-rock aquifers – 16
Fresh groundwater withdrawals in Illinois, Indiana, Kentucky, Ohio, and
Tennessee during 1985, million gallons per day (USGS, 2000)
Surficial aquifer system – 1,488
Mississippian embayment aquifer system – 308
Pennsylvanian aquifers – 164
Mississippian aquifers – 71
Silurian–Devonian aquifer – 488
Ordovician aquifers – 45
Cambrian–Ordovician aquifer system – 396
Blue Ridge aquifers – 12
Surficial aquifers are being polluted
Kumar, 2017
Tang et al., 2021
Ouedraogo et al., 2016
Blocks (%) in District reporting
groundwater nitrate > 45 ppm
Agricultural drainage is one source
Often, through canal seepage
How does canal
shape affect
seepage rate?
d = water depth in canal
s = bank slope horizontal
w = ½ water surface width
Field work in Sierra Leone
Njala University
The local context
Conceptual Model
Numerical analysis using
finite element discretization
Method
HYDRUS 2D/3D simulations
d = water depth in canal
s = bank slope horizontal
w = ½ water surface width
Hydraulic
radius (m)
Wetted Perimeter &
Cross-section Area
Bank slope
(#H:1V)*
*H - Horizontal, V - Vertical
R = 0.354
P = 2.828 m
A = 1.0 m
2 1
R = 0.447
P = 4.472 m
A = 2.0 m2 2
P = 3.578 m
A = 1.6 m2 1
R = 0.474
P = 6.325 m
A = 3.0 m
2 3
P = 4.743 m
A = 2.25 m2 2
P = 3.795 m
A = 1.8 m2 1
Surprising behavior!
Results
Seepage not function of R alone
[CELLRANGE]
[CELLRANGE] [CELLRANGE]
10.0
11.0
12.0
13.0
14.0
15.0
16.0
1 2 3
Water
table
location
below
ground
surface
(cm)
Nominal bank slope ( _H:1V)
Canals with Hydraulic Radius = 0.474 m
Triangle Trapezoid Rectangle
[CELLRANGE]
[CELLRANGE]
10.0
11.0
12.0
13.0
14.0
15.0
16.0
1 2 3
Water
table
location
below
ground
surface
(cm)
Nominal bank slope ( _H:1V)
Canals with Hydraulic Radius = 0.447 m
Triangle Trapezoid Rectangle
[CELLRANGE]
10.0
11.0
12.0
13.0
14.0
15.0
16.0
1 2 3
Water
table
location
below
ground
surface
(cm)
Nominal bank slope ( _H:1V)
Canals with Hydraulic Radius = 0.354 m
Triangle Trapezoid Rectangle
Seepage not function of A, P alone
11.0
11.5
12.0
12.5
13.0
13.5
14.0
14.5
15.0
15.5
16.0
1 1.2 1.4 1.6 1.8 2 2.2 2.4 2.6 2.8 3
Water
table
location
below
ground
surface
(cm)
Area (m2)
Influence of cross-sectional area
Triangle
Trapezoid
Rectangle
11.0
11.5
12.0
12.5
13.0
13.5
14.0
14.5
15.0
15.5
16.0
0.600 1.100 1.600 2.100 2.600 3.100
Water
table
location
below
ground
surface
(cm)
(m)
Influence of canal surface width
Triangle
Trapezoid
Rectangle
Seepage not function of width alone
11.0
11.5
12.0
12.5
13.0
13.5
14.0
14.5
15.0
15.5
16.0
0.500 0.600 0.700 0.800 0.900 1.000 1.100 1.200 1.300 1.400
Water
table
location
below
ground
surface
(cm)
(m)
Influence of water depth in canal
Triangle
Trapezoid
Rectangle
Seepage not function of depth alone
Size of data point
corresponds to
cross-section area
Do these results match
others’?
Why does this pattern
occur?
Discussion
Others’ Work
Circular Arc
𝑧 ∝
𝜋 − acot 𝑆 × 𝑃𝑠𝑙𝑜𝑝𝑒 + 𝜋 × 𝑃𝑓𝑙𝑎𝑡
𝑃𝑡𝑜𝑡𝑎𝑙
11
12
13
14
15
16
11 12 13 14 15 16
Predicted
water
table
depth
(cm)
Actual water table depth (cm)
Conclusions
Conclusions
• Shape changes seepage rate by changing the streamline paths
• This changes the head loss: Ernst’s concept of “radial resistance”
• The difference in seepage can result in almost 3 cm difference in the
steady state location of water table midway between canals
Acknowledgements
• College of ACES International Graduate Research Grant
• Dr. Richard Cooke
• Richard Williams
• Navo
References
Bouwer, H. (1965). Theoretical Aspects of Seepage from Open Channels. Journal of the Hydraulics Division, 91(3), 37–59.
https://doi.org/10.1061/JYCEAJ.0001259
Feick, S., Siebert, S. and Döll, P. (2005): A Digital Global Map of Artificially Drained Agricultural Areas. Frankfurt Hydrology Paper 04,
Institute of Physical Geography, Frankfurt University, Frankfurt am Main, Germany
Jägermeyr, Jonas & Gerten, Dieter & Heinke, Jens & Schaphoff, Sibyll & Kummu, Matti & Lucht, W. (2015). Water savings potentials of
irrigation systems: Global simulation of processes and linkages. Hydrology and Earth System Sciences. 19. 3073-3091.
10.5194/hess-19-3073-2015.
Kumar, M. D. (2017). Market Analysis: Desalinated Water for Irrigation and Domestic Use in India. U.S. Global Development Lab.
http://rgdoi.net/10.13140/RG.2.2.25518.72006
Ouedraogo, I., Defourny, P., & Vanclooster, M. (2016). Mapping the groundwater vulnerability for pollution at the pan African scale.
Science of The Total Environment, 544, 939–953. https://doi.org/10.1016/j.scitotenv.2015.11.135
Richts, A., Struckmeier, W. & Zaepke, M. (2011): WHYMAP and the Groundwater Resources of the World 1:25,000,000. In: Jones J.
(Eds.): Sustaining Groundwater Resources. International Year of Planet Earth; Springer. doi: 10.1007/978-90-481-3426-7_10
Swamee, P. K., Mishra, G. C., & Chahar, B. R. (2000). Design of Minimum Seepage Loss Canal Sections. Journal of Irrigation and
Drainage Engineering, 126(1), 28–32. https://doi.org/10.1061/(ASCE)0733-9437(2000)126:1(28)
Tang, F. H. M., Lenzen, M., McBratney, A., & Maggi, F. (2021). Risk of pesticide pollution at the global scale. Nature Geoscience, 14(4),
206–210. https://doi.org/10.1038/s41561-021-00712-5
U. S. Geological Survey. (2000). Ground Water Atlas of the United States. In Hydrologic Atlas (No. 730). U.S. Geological Survey.
https://doi.org/10.3133/ha730
Thank you!
Questions

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NO1 Famous Kala Jadu specialist Expert in Pakistan kala ilam specialist Exper...
 

September 1 - 1139 - R. Caleb Bruhn

  • 1. 2022 IDS Oral Presentation R Caleb Bruhn, Jorge Guzman, Prasanta K Kalita, Richard A Cooke Seepage Considerations in Drainage Canal Design for Groundwater Quality
  • 2. Why is it important to consider seepage in drainage ditch design? Introduction
  • 3. Surficial aquifers are important Fresh groundwater withdrawals in Iowa, Michigan, Minnesota, and Wisconsin during 1985, million gallons per day (USGS, 2000) Surficial aquifer system – 1,495 Cretaceous aquifer – 87 Pennsylvanian aquifer – 88 Mississippian aquifer – 67 Silurian–Devonian aquifer – 224 Upper carbonate aquifer – 20 Cambrian–Ordovician aquifer system – 548 Jacobsville and crystalline-rock aquifers – 16 Fresh groundwater withdrawals in Illinois, Indiana, Kentucky, Ohio, and Tennessee during 1985, million gallons per day (USGS, 2000) Surficial aquifer system – 1,488 Mississippian embayment aquifer system – 308 Pennsylvanian aquifers – 164 Mississippian aquifers – 71 Silurian–Devonian aquifer – 488 Ordovician aquifers – 45 Cambrian–Ordovician aquifer system – 396 Blue Ridge aquifers – 12
  • 4. Surficial aquifers are being polluted Kumar, 2017 Tang et al., 2021 Ouedraogo et al., 2016 Blocks (%) in District reporting groundwater nitrate > 45 ppm
  • 7. How does canal shape affect seepage rate? d = water depth in canal s = bank slope horizontal w = ½ water surface width
  • 8. Field work in Sierra Leone Njala University
  • 11. Numerical analysis using finite element discretization Method
  • 12. HYDRUS 2D/3D simulations d = water depth in canal s = bank slope horizontal w = ½ water surface width Hydraulic radius (m) Wetted Perimeter & Cross-section Area Bank slope (#H:1V)* *H - Horizontal, V - Vertical R = 0.354 P = 2.828 m A = 1.0 m 2 1 R = 0.447 P = 4.472 m A = 2.0 m2 2 P = 3.578 m A = 1.6 m2 1 R = 0.474 P = 6.325 m A = 3.0 m 2 3 P = 4.743 m A = 2.25 m2 2 P = 3.795 m A = 1.8 m2 1
  • 14. Seepage not function of R alone [CELLRANGE] [CELLRANGE] [CELLRANGE] 10.0 11.0 12.0 13.0 14.0 15.0 16.0 1 2 3 Water table location below ground surface (cm) Nominal bank slope ( _H:1V) Canals with Hydraulic Radius = 0.474 m Triangle Trapezoid Rectangle [CELLRANGE] [CELLRANGE] 10.0 11.0 12.0 13.0 14.0 15.0 16.0 1 2 3 Water table location below ground surface (cm) Nominal bank slope ( _H:1V) Canals with Hydraulic Radius = 0.447 m Triangle Trapezoid Rectangle [CELLRANGE] 10.0 11.0 12.0 13.0 14.0 15.0 16.0 1 2 3 Water table location below ground surface (cm) Nominal bank slope ( _H:1V) Canals with Hydraulic Radius = 0.354 m Triangle Trapezoid Rectangle
  • 15. Seepage not function of A, P alone 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0 1 1.2 1.4 1.6 1.8 2 2.2 2.4 2.6 2.8 3 Water table location below ground surface (cm) Area (m2) Influence of cross-sectional area Triangle Trapezoid Rectangle
  • 16. 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0 0.600 1.100 1.600 2.100 2.600 3.100 Water table location below ground surface (cm) (m) Influence of canal surface width Triangle Trapezoid Rectangle Seepage not function of width alone
  • 17. 11.0 11.5 12.0 12.5 13.0 13.5 14.0 14.5 15.0 15.5 16.0 0.500 0.600 0.700 0.800 0.900 1.000 1.100 1.200 1.300 1.400 Water table location below ground surface (cm) (m) Influence of water depth in canal Triangle Trapezoid Rectangle Seepage not function of depth alone Size of data point corresponds to cross-section area
  • 18. Do these results match others’? Why does this pattern occur? Discussion
  • 20. Circular Arc 𝑧 ∝ 𝜋 − acot 𝑆 × 𝑃𝑠𝑙𝑜𝑝𝑒 + 𝜋 × 𝑃𝑓𝑙𝑎𝑡 𝑃𝑡𝑜𝑡𝑎𝑙 11 12 13 14 15 16 11 12 13 14 15 16 Predicted water table depth (cm) Actual water table depth (cm)
  • 22. Conclusions • Shape changes seepage rate by changing the streamline paths • This changes the head loss: Ernst’s concept of “radial resistance” • The difference in seepage can result in almost 3 cm difference in the steady state location of water table midway between canals
  • 23. Acknowledgements • College of ACES International Graduate Research Grant • Dr. Richard Cooke • Richard Williams • Navo
  • 24. References Bouwer, H. (1965). Theoretical Aspects of Seepage from Open Channels. Journal of the Hydraulics Division, 91(3), 37–59. https://doi.org/10.1061/JYCEAJ.0001259 Feick, S., Siebert, S. and Döll, P. (2005): A Digital Global Map of Artificially Drained Agricultural Areas. Frankfurt Hydrology Paper 04, Institute of Physical Geography, Frankfurt University, Frankfurt am Main, Germany Jägermeyr, Jonas & Gerten, Dieter & Heinke, Jens & Schaphoff, Sibyll & Kummu, Matti & Lucht, W. (2015). Water savings potentials of irrigation systems: Global simulation of processes and linkages. Hydrology and Earth System Sciences. 19. 3073-3091. 10.5194/hess-19-3073-2015. Kumar, M. D. (2017). Market Analysis: Desalinated Water for Irrigation and Domestic Use in India. U.S. Global Development Lab. http://rgdoi.net/10.13140/RG.2.2.25518.72006 Ouedraogo, I., Defourny, P., & Vanclooster, M. (2016). Mapping the groundwater vulnerability for pollution at the pan African scale. Science of The Total Environment, 544, 939–953. https://doi.org/10.1016/j.scitotenv.2015.11.135 Richts, A., Struckmeier, W. & Zaepke, M. (2011): WHYMAP and the Groundwater Resources of the World 1:25,000,000. In: Jones J. (Eds.): Sustaining Groundwater Resources. International Year of Planet Earth; Springer. doi: 10.1007/978-90-481-3426-7_10 Swamee, P. K., Mishra, G. C., & Chahar, B. R. (2000). Design of Minimum Seepage Loss Canal Sections. Journal of Irrigation and Drainage Engineering, 126(1), 28–32. https://doi.org/10.1061/(ASCE)0733-9437(2000)126:1(28) Tang, F. H. M., Lenzen, M., McBratney, A., & Maggi, F. (2021). Risk of pesticide pollution at the global scale. Nature Geoscience, 14(4), 206–210. https://doi.org/10.1038/s41561-021-00712-5 U. S. Geological Survey. (2000). Ground Water Atlas of the United States. In Hydrologic Atlas (No. 730). U.S. Geological Survey. https://doi.org/10.3133/ha730

Editor's Notes

  1. Master’s thesis
  2. How are they vulnerable to this?
  3. Thousands of kilometers of canals convey water worldwide for a variety of purposes including agricultural irrigation and drainage, and the number is increasing every year. The rate at which water is expected to seep through the banks and bed of a proposed canal design is always an important consideration. Several factors play into the quantity of seepage, including the morphology of the landscape in which a canal is excavated, and whether a canal is lined or unlined. For example, Bouwer identified three different conditions, shown in figure one. Condition A exists when the canal is excavated in uniform soil underlain by a drainage layer. A special case of A occurs when the water table is at or below the top of the drainage layer, denoted A-prime and shown in Figure 2. Condition B exists when an impermeable layer lies below the canal, and Condition C refers to the existence of a slowly permeable layer on the canal’s perimeter – in other words, a lining.
  4. Bouwer studies did not keep constant R, A/P; and I wanted to look at this seepage in the specific context of Sierra Leone. Does the change in seepage rate predominantly follow nominal head diff and area over which it works, or shape because of extra head loss “radial resistance”?
  5. Discussion of new ideas for swamp development, dry season irrigation, traditional system, and the Dutch system
  6. Note seepage measured as midpoint water table location
  7. Started with triangle and largest S -> R -> other Ss
  8. The pattern of changes in water table depth did not correspond to the changes of any single canal dimension; rather, they corresponded to a change in shape!
  9. However, the pattern shown in the previous figures did not make sense – or rather, it was unexpected. Was this an artifact of HYDRUS or an error in the investigation, or do other studies support this finding? And why does this pattern occur?
  10. Least seepage for trapezoidal with slopes less than or equal to one. They found the most seepage from rectangular, this could have been due to changes in P for Bouwer and free draining for Swamee et al.
  11. So why does this happen? I tested multiple hypotheses, none of which explained the phenomenon perfectly, but one of which seemed like a promising start and like it could give valuable insight for continued work. Imagine, if you will, that the longest flow path from the canal boundary to the water table is a compound circular arc. The radius is equal to the wetted perimeter. It’s actually not a compound arc for the triangular canals, and the arc length is equal to the radius times pi minus the inverse cotangent of S. For the trapezoidal and rectangular canals, we can imagine the flat portion of the wetted perimeter is the radius of a small circle that rotates until it points in the same direction as the sloped part; it then continues to rotate as one straight line, the radius of a large circle. The length of this compound circular arc is equal to the length of the sloping part of the wetted perimeter times pi minus the inverse cotangent of S, plus pi times the flat part of P. The figure at left shows that when the arc length is divided by the total wetted perimeter, the result is very nearly proportional to the water table location. A larger factor of proportionality was used for trapezoidal canals than rectangular. One cause that would make this reasonable would be greater streamline divergence from the arc through this region of the domain.