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Bear River Basin Water Plan
Technical Memoranda
| SUBJECT: |
Appendix H
Speadsheet Modeling Support -
Efficiencies and Return Flow Patterns |
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| PREPARED BY: |
Bear River Basin Planning Team |
Introduction
The spreadsheet model determines the mass balance at locations along the river.
Therefore, historic or estimated river headgate diversions are used as the demands that
drive the model. However, only a portion of the headgate diversion is actually available
to satisfy crop consumptive use requirements, municipal demands, or industrial demands.
The unused portion of the headgate diversions is either lost in route to the farm or
treatment plant (conveyance loss) or lost during crop application (application or on-farm
loss).
Efficiencies and Return Flow Patterns
This unused portion of headgate diversion either returns to the river as surface runoff
during the month it is diverted, or "deep percolates" into the alluvial aquifer. The deep
percolation portion returns to the river through the aquifer but generally lags the time of
diversion by several months, or even years. It is important for the model to simulate both
the percent of headgate diversions that return to the river, and the timing of which this
unused portion returns. In the Bear River Basin, water from the river is reused many
times from the headwaters to the Great Salt Lake.
Diversion efficiency for agricultural use is the common measure of the portion of
headgate diversion that is consumed, and therefore not returned to the river. Diversion
efficiency for municipal and industrial use is the percent of headgate diversion that makes
it to the treatment plant or industrial site. The remaining percent is lost during
conveyance, and returns to the river as surface runoff or deep percolation. Diversions for
agricultural use experience both conveyance losses and application losses, and both these
loss percents return to the river as surface runoff or deep percolation.
Conveyance Efficiency
Factors that affect conveyance efficiencies include:
- Frequency and duration of diversion. More losses occur during the first
month of the irrigation season due to canal "wetting".
- Underlying soil characteristics. More permeable soil will experience greater
conveyance losses.
- Canal capacity and length. Larger canals generally serve more lands and have
more opportunity to "lose" water in route to the farm.
- Location of water table relative to the canal. Canals running through areas
with high water tables can actually "gain" water in route to the farm.
- Canal evaporation. Water evaporates from the surface of canals. The amount
of is generally small and depends on the width and length of canals.
- Phreatophyte occurance. Phreatophytes, such as willows and cottonwood
trees that grow unchecked along canals, can use a portion of diverted water.
The report "Irrigation Conveyance Systems - Working Paper for the Bear River Basin
Type IV Study", USDA and SCS, April 1976, estimated conveyance efficiencies
throughout the Bear River Basin. The conveyance efficiencies for the Unita County
irrigation systems ranged from 30 percent to 75 percent. The conveyance efficiencies for
Lincoln County ranged from 50 percent to 85 percent. Tables are provided in that report
showing conveyance efficiencies by major ditch system, however, there is no
documentation provided on how these estimates were developed. Therefore, we
estimated conveyance efficiencies based on main canal length and the proximity of
irrigated acreage to the main canal. The maps provided in the Type IV Study report were
used to measure canal lengths. In most cases, our estimated conveyance efficiencies
were consistent with the efficiencies summarized in the Type IV Study report. Note that
the ditch systems in the Bear River basin in Wyoming have changed very little since
1976.
Table 1 shows the conveyance efficiencies estimated for the key ditch systems
represented in the modeling effort for the upper division. The upper division aggregate
ditch systems were assigned a conveyance efficiency of 60 percent, because they
represent smaller ditches generally irrigating lands close to the river.
Table 2 shows the conveyance efficiencies estimated for the key ditch systems
represented in the modeling effort for the central division. The central division aggregate
ditch systems were assigned a conveyance efficiency of 65 percent, again because they
represent smaller ditches generally irrigating lands close to the river. The exception is
the aggregate diversion representing the irrigated lands in Utah between Woodruff
Narrows and Pixley Dam. These lands are dependent on each other's return flows for
diversion supply, but because of the aggregation, all diversion will be modeled at one
location. A conveyance efficiency of 45 percent was used to represent these diversions.
Application (on-farm) Efficiencies
Factors that affect application efficiencies include:
- Irrigation practice. Flood irrigation techniques require more water to be
applied than the crops require. Flood irrigation causes much more runoff and
deep percolation than sprinkler irrigation. Sprinkler irrigation is generally
applied more frequently and directly to the crops.
- Crop types. Row crops generally cause more runoff than field crops, such as
irrigated meadow.
Ranges of irrigation application efficiencies are widely published. For this study, we
used efficiency percents presented by Duane D. Klamm and John S. Brenner in the 1995
Evapotranspiration and Irrigation Efficiency Seminar sponsored by the American
Consulting Engineers Council of Colorado and the Colorado Division of Water
Resources. Flood irrigation application efficiencies were estimated to be 55 percent
basin wide for the modeling effort. Center pivot and side-roll sprinkler application
efficiencies were estimated at 85 percent, and hand-line sprinklers were estimated at 80
percent.
Most crop acreage in the upper division of the Bear River basin is irrigated using flood
application techniques. There is only one sprinkler irrigated quarter-section shown in the
1993 irrigated acreage assessment. The local water administrator further verified that all
other farms use flood irrigation in the upper division.
The central division is also mostly flood irrigated, however, there has been a greater trend
towards sprinkler irrigation. Through interviews with water administrators and users, we
have estimated the percent of acreage under the key ditch systems that apply water
through sprinklers. Center pivot and side-roll sprinklers are most common; however
there are a few hand-line sprinklers.
In addition to conveyance efficiencies, Table 1 shows the suggested application
efficiency for the key ditch systems in the upper division. Because lands in the upper
division are flood irrigated, the application efficiencies are all 55 percent. An application
efficiency of 55 percent is also used for aggregated ditch systems.
Table 2 shows the suggested application efficiency for the key ditch systems in the
central division. An application efficiency of 65 percent was used for aggregated ditch
systems in the central division, which represents an average of key ditch system
efficiencies.
The model uses a diversion efficiency that represents the actual amount of headgate
diversion used to satisfy crop consumptive use demands. It is calculated as the product of
conveyance efficiency and application efficiency. The diversion efficiency is also
provided in Tables 1 and 2.
Table 1
Upper Division Diversion Efficiencies
| Model Node ID |
Diversion Name |
Conveyance Efficiency |
Application Efficiency |
Diversion Efficiency |
Irrigation Methods |
| 1.01 |
Lannon and Lone Mountain |
45 % |
55 % |
25 % |
100 % Flood |
| 1.02 |
Hilliard West Side |
40 % |
55 % |
22 % |
100 % Flood |
| 1.03 |
Bear Canal |
40 % |
55 % |
22 % |
100 % Flood |
| 1.04 |
Crown and Pine Grove |
50 % |
55 % |
27 % |
100 % Flood |
| 1.05 |
McGraw (and Big Bend) |
55 % |
55 % |
30 % |
100 % Flood |
| 1.06 |
Lewis |
55 % |
55 % |
30 % |
100 % Flood |
| 1.07 |
Myers No 2 |
50 % |
55 % |
27 % |
100 % Flood |
| 1.08 |
Myers No 1 |
50 % |
55 % |
27 % |
100 % Flood |
| 1.09 |
Myers Irrigation |
55 % |
55 % |
30 % |
100 % Flood |
| 1.11 |
Booth |
50 % |
55 % |
27 % |
100 % Flood |
| 1.12 |
Anel |
55 % |
55 % |
30 % |
100 % Flood |
| 1.13 |
Evanston Water Supply |
50 % |
55 % |
27 % |
100 % Flood |
| 3.01 |
Evanston Water Ditch |
65 % |
55 % |
36 % |
100 % Flood |
| 3.02 |
Rocky Mountain Blythe |
65 % |
55 % |
36 % |
100 % Flood |
| 4.01 |
John Simms |
65 % |
55 % |
36 % |
100 % Flood |
| 4.02 |
SP Ramsey |
60 % |
55 % |
33 % |
100 % Flood |
| 5.01 |
Chapman (WY portion) |
50 % |
55 % |
27 % |
100 % Flood |
| 5.02 |
Morris Brothers |
65 % |
55 % |
36 % |
100 % Flood |
| 5.04 |
Tunnel |
65 % |
55 % |
36 % |
100 % Flood |
| 7.01 |
Francis Lee |
60 % |
55 % |
33 % |
100 % Flood |
| 7.02 |
Bear River Canal |
60 % |
55 % |
33 % |
100 % Flood |
| 7.03 |
Utah Aggregate Ditches |
45 % |
65 % |
30 % |
67 % Flood
33 % Center Pivot |
| 8.00 |
BQ Dam Diversions |
55 % |
60 % |
33 % |
90 % Flood
10 % Center Pivot |
| 8.01 |
Pixley Dam |
55 % |
60 % |
33 % |
90 % Flood
10 % Center Pivot S |
| Varies |
Aggregate Systems |
60 % |
55 % |
33 % |
100 % Flood |
Table 2
Central Division Diversion Efficiencies
| Model Node ID |
Diversion Name |
Conveyance Efficiency |
Application Efficiency |
Diversion Efficiency |
Irrigation Methods |
| 10.02
| Button Flat |
65 % |
55 % |
36 % |
100 % Flood |
| 10.03 |
Emelle |
65 % |
55 % |
36 % |
100 % Hand-line Sprinkler |
| 10.04 |
Cooper |
65 % |
55 % |
36 % |
100 % Flood |
| 10.05 |
Covey |
45 % |
65 % |
30 % |
70 % Flood
30 % Center Pivot Sprinkler |
| 10.06 |
VH Canal |
55 % |
85 % |
47 % |
100 % Center Pivot Sprinkler |
| 10.07 |
Goodell |
55 % |
85 % |
47 % |
100 % Center Pivot Sprinkler |
| 10.08 |
Whites Water |
60 % |
65 % |
40 % |
60 % Flood
40 % Hand-line Sprinkler |
| 10.09 |
S. Branch Irrigating |
60 % |
70 % |
42 % |
40 % Flood
60 % Hand-line Sprinkler |
| 11.02 |
Alonzo F. Sights |
60 % |
65 % |
40 % |
60 % Flood
40 % Hand-line Sprinkler |
| 11.03 |
Oscar E. Snyder |
73 % |
55 % |
40 % |
100 % Flood |
| 11.04 |
Cook Brothers |
73 % |
55 % |
40 % |
100 % Flood |
| Varies |
Aggregate Systems |
65 % |
65 % |
42 % |
67 % Flood
33 % Center Pivot Sprinkler |
Return Flow Patterns
As discussed above, the unused, or inefficient, portion of diversions are returned to the
river either by direct surface runoff, or through the alluvial aquifer. For modeling
purposes, an estimate must be made of both:
- the location or locations on the river where the unused portion of diversions
will return, and
- the timing of those returns.
Again, this information becomes very important in water supply-limited systems, such as
the Bear River basin, because return flows are often re-diverted many times by
downstream users.
The location where unused water is returned to the river is based on the location of
irrigated lands. Unless a "drain" has been constructed to remove excess water from lands
with high water tables, return flows do not generally return to a specific point on the
river. However, for modeling purposes, it needs to be returned to a specific node in the
network. The return flows can be re-diverted at the return flow location node and any
nodes downstream. For the larger ditch systems, unused water may return at more than
one location. The irrigated acreage GIS theme was used to estimate these locations,
shown in Table 3 for the upper division and Table 4 for the central division.
Return flow patterns represent the timing of return flows back to the river. Generally, the
surface runoff portion of unused diversion returns to the river the same month as
diversions, whereas the deep percolation portion may take much longer. The timing of
return flows can be determined using standard Glover equations, basin water budgets, or
more detailed ground water modeling techniques. Return flow patterns were estimated in
the publication "Water Budget Studies - Utah, Bear River Study Area", State of Utah
Natural Resources, September 1994. Return flow patterns were developed for several
river reaches, including both the upper and central portion of the Bear River Basin in
Wyoming. The following return flow patterns were adopted from this study for the
modeling effort, and represent the timing of the return of unused diversions. Note that
month 0 is the month of diversion, month 1 is the 1st month after diversion, etc.
Return Pattern 1 = 50 % month 0, 25 % month 1, 15 % month 2, 10 % month 3
Return Pattern 2 = 70 % month 0, 20 % month 1, 10 % month 2
Return Pattern 3 = 100 % month 0
Return flow pattern 1 is used to represent larger ditch systems that serve lands further
from the river. Return flow pattern 2 is used to represent smaller ditch systems that serve
lands adjacent to the river. Return flow pattern 3 is used to represent municipal and
industrial nodes, where water is returned to the river from treatment plants or industrial
processes directly. In addition to the return flow node location in the river, Tables 3 and
4 show the return flow pattern used to represent each ditch system.
Table 3
Upper Division Return Flow Locations and Patterns
| Model Node ID |
Diversion Name |
Return Nodes |
Return Pattern |
| 1.01 |
Lannon and Lone Mountain |
30 % Lewis Ditch
70 % Confluence with Mill Ck |
1 |
| 1.02 |
Hilliard West Side |
100 % Sulphur Creek Reservoir |
1 |
| 1.03 |
Bear Canal |
60 % Sulphur Creek Reservoir
40 % Ag-Sulphur Creek bl Reservoir |
1 |
| 1.04 |
Crown and Pine Grove |
25 % Lewis
25 % Confluence with Mill Ck
50 % Myers No 2 |
2 |
| 1.05 |
McGraw (and Big Bend) |
100 % Lewis |
2 |
| 1.06 |
Lewis |
100 % Myers No 1 |
2 |
| 1.07 |
Myers No 2 |
100 % Myers No 1 |
2 |
| 1.08 |
Myers No 1 |
50 % Booth |
50 % Ag-Sulphur Creek bl Reservoir
2 |
| 1.09 |
Myers Irrigation |
100 % Anel |
2 |
| 1.11 |
Booth |
100% Evanston Water Ditch |
2 |
| 1.12 |
Anel |
100 % Ag-Bear River between Mill
Creek and Sulphur Creek |
2 |
| 1.13 |
Evanston Water Supply |
50 % Rocky Mountain Blythe
50 % John Simms |
2 |
| 1.15 |
Ag-Bear River between Mill
Creek and Sulphur Creek |
100 % Confluence Bear and Sulphur
Creek |
2 |
| 2.01 |
Ag-Sulphur Creek Above Res |
100 % Sulphur Creek Res. |
2 |
| 2.03 |
Ag-Sulphur Creek Below
Reservoir |
100 % Confluence Bear and Sulphur
Creek |
2 |
| 3.01 |
Evanston Water Ditch |
100 % Rocky Mountain Blythe |
2 |
| 3.02 |
Rocky Mountain Blythe |
70 % John Simms
30 % SP Ramsey |
2 |
| 4.01 |
John Simms |
50 % SP Ramsey
50 % Ag-Bear River between Sulphur
and Yellow Creeks |
2 |
| 4.02 |
SP Ramsey (also called Adin
Brown) |
50 % Ag-Bear River between Sulphur
and Yellow Creeks
50 % Chapman |
2 |
| 4.03 |
Ag-Bear River between Sulphur
and Yellow Creeks |
100 % Chapman |
2 |
| 5.01 |
Chapman |
100 % Ag-Bear River between Yellow
Creek and Woodruff |
2 |
| 5.02 |
Morris Brothers |
30 % Ag-Bear River between Yellow
Creek and Woodruff
70 % Woodruff Narrows |
2 |
| 5.03 |
Ag-Bear River between Yellow
Creek and Woodruff Narrows |
100 % Tunnel |
2 |
| 5.04 |
Tunnel |
100 % Woodruff Narrows |
2 |
| 7.01 |
Francis Lee |
100 % Ag- Utah Diversions |
1 |
| 7.02 |
Bear River Canal |
100 % Ag-Utah Diversion |
1 |
| 7.03 |
Ag-Utah diversion |
70 % USGS Gage 10026500
5 % Pixley
25 % Return Flow Node 7.04 |
2 |
| 8.02 |
BQ Dam Diversions |
100 % Pixley |
2 |
| 8.01 |
Pixley Dam |
100 % Confluence with Smiths Fork |
2 |
Table 4
Central Division Return Flow Locations and Patterns
| Model Node ID |
Diversion Name |
Return Nodes |
Return Pattern |
| 9.02 |
Ag-Bear River between Twin |
Fork and Smiths Fork
100 % Confluence with Smiths Fork |
2 |
| 10.01 |
Quinn Bourne |
100 % Button Flat |
2 |
| 10.02 |
Button Flat |
100 % Emelle |
2 |
| 10.03 |
Emelle |
50 % Cooper Ditch
50 % Covey |
2 |
| 10.04 |
Cooper |
100% Covey |
2 |
| 10.05 |
Covey |
10 % White Water
90 % Ag-Bear River below Smiths Fork |
1 |
| 10.06 |
VH Canal |
100 % White Water |
1 |
| 10.07 |
Goodell |
100 % White Water |
1 |
| 10.08 |
Whites Water |
100 % Ag-Bear River below Smiths Fork |
2 |
| 10.09 |
S. Branch Irrigating |
100 % Ag-Bear River below Smiths Fork |
2 |
| 10.10 |
Ag-Smiths Fork |
100 % Confluene Bear and Smiths Fork |
2 |
| 11.01 |
Ag-Bear River below Smiths
Fork |
40 % Alonzo F. Sights
40 % Oscar E. Snyder
20 % Cook Brothers |
2 |
| 11.02 |
Alonzo F. Sights |
50 % Oscar E. Snyder
50 % Cook Brothers |
2 |
| 11.03 |
Oscar E. Snyder |
50 % Cook Brothers
50 % Bear River at Border Gage
(1003950) |
2 |
| 11.04 |
Cook Brothers |
50 % Bear River at Border Gage
50% Ag-Idaho Diversions |
2 |
Sources
USDA and SCS, Irrigation Conveyance Systems - Working Paper for the Bear River
Basin Type IV Study, April 1976,
State of Utah Natural Resources, Water Budget Studies - Utah, Bear River Study Area,
September 1994.
Duane D. Klamm and John S. Brenner, excerpts from the 1995 Evapotranspiration and
Irrigation Efficiency Seminar sponsored by the American Consulting Engineers
Council of Colorado and the Colorado Division of Water Resources.
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