
Irrigation
Notes
California State
University, Fresno, California 93740-0018
January 1988
Irrigation
Systems and Water Application Efficiencies
By Kenneth H. Solomon
Water application efficiency is an irrigation concept
that is very important both in system selection and design and
in irrigation management. The ability of an irrigation system
to apply water uniformly and efficiently to the irrigated area
is a major factor influencing the agronomic and economic viability
of the farming enterprise.
Attainable water application efficiencies vary greatly
with irrigation system type and management, but the following
ranges give some idea of the efficiencies that may be achieved
with reasonable design management as shown in Table 1.
Irrigation efficiency can be divided into two components:
water losses and uniformity of application. If either the water
losses are large, or application uniformity is poor, efficiency
will be low. Although both components of efficiency are influenced
by system design and management, losses are predominantly affected
by management, while uniformity is predominantly affected by system
design.
Table 1. Water Application Efficiencies
| Type of System | Attainable Efficiencies
|
| Surface Irrigation
| |
| Basin | 80 - 90%
|
| Border | 70 - 85%
|
| Furrow | 60 - 75%
|
| Sprinkler Irrigation
| |
| Hand Move or Portable |
65 - 75% |
| Traveling Gun | 60 - 70%
|
| Center Pivot & Linear Move
| 75 - 90% |
| Solid Set or Permanent
| 70 - 80% |
| Trickle Irrigation
| |
| With Point Source Emitters
| 75 - 90% |
| With Line Source Products
| 70 - 85% |
WATER LOSSES
Over-watering is probably the most significant cause of water
loss in any irrigation system. No matter how well the system is
designed, if more water is applied than can be beneficially used
by the crop, efficiency will suffer. Thus, proper irrigation scheduling
is important if high efficiencies are to be achieved. Other types
of possible water losses are specific to the type of irrigation
system used.
Aside from over-watering, the major losses associated with surface
irrigation systems are direct evaporation from the wet soil surface,
runoff losses, and seepage losses from water distribution ditches.
Direct evaporation losses can be important when irrigating young
orchard crops. Runoff losses can be virtually eliminated with
return flow systems that capture the runoff water and direct it
back to the originating field, or to other fields. The amount
of seepage loss from unlined ditches will depend on soil characteristics
and the extent of the ditch network, but may range from 10 to
15% of the supplied water. Seepage losses are eliminated with
lined canals or pipe distribution systems.
The primary losses associated with sprinkler irrigation (other
than those due to over-watering) are direct evaporation from wet
soil surfaces, wind drift and evaporation losses from the spray,
system drainage and leaks. Evaporation from the soil surface will
depend upon irrigation frequency and the extent of bare soil between
the plants to be irrigated. These losses can be high in young
orchards. Some of the water "lost" to wind drift and
evaporation from the sprinkler spray is not actually lost, since
it substitutes for crop transpiration. Net losses in this case
may be as low as 2-3%, to as high as 15-20% under extreme adverse
conditions. Well maintained sprinkler systems should have leak
and drainage losses below 1%, but poorly managed systems have
shown losses of near 10%.
If not over-irrigated, trickle system losses should be low. Though
a relatively small portion of the soil surface is wetted, the
irrigation frequency is high, so there will be some loss due to
evaporation from wet soil. With good management, losses due to
leaks, system drainage, and flushing of filters and lateral lines
should not exceed 1%.
IRRIGATION UNIFORMITY
Ideally, an irrigation system would apply water in a completely
uniform manner, so that each part of the irrigated area receives
the same amount of water. Unfortunately, there seems to no way
achieve this. Even natural rainfall is not completely uniform.
So the phrase "irrigation uniformity" actually refers
to the variation or non-uniformity in the amounts of water applied
to locations within the irrigated area. Significant effort in
irrigation system design and management is directed towards dealing
with problems related to irrigation uniformity, or the lack of
it.
Whenever water is applied with less than perfect uniformity, some
parts of the crop will receive more water than others. If the
irrigation system is operated so that the part of the crop receiving
the most water has its requirement met, then the remainder of
the crop will be over-irrigated. Thus, a non-uniform irrigation
unavoidably results in some degree of under- or over-watering.
Irrigation uniformity is related to crop yields through the agronomic
effects of under- and over-watering. Insufficient water leads
to high soil moisture tension, plant stress and reduced crop yields.
Excess water may also reduce crop yields below potential levels
through mechanisms such as leaching of plant nutrients, increased
disease incidence or failure to stimulate growth of commercially
valuable parts of the plant.
Irrigation uniformity is also linked to the efficiency with which
agricultural resources are used. To the extent that non-uniformity
results in the application of excess water, several water related
resources are lost:
· The excess
water itself;
· Energy for
pumping the excess water;
· Fertilizers,
either applied with the irrigation water or leached by the excess
water;
· Other chemicals
which may be applied with or washed away by the water;
· Investment
losses due to the extra capacity designed into the irrigation
and drainage systems to carry the excess water.
To the extent that non-uniformity causes crop yields
to fall below potential levels, agricultural inputs applied in
anticipation of full yields are wasted.
Because irrigation uniformity relates to crop yield
and the efficient use of resources, engineers regard it as an
important factor to be considered in the selection, design and
management of irrigation systems. Various measures of uniformity
are used as indices of performance by which, for example, sprinklers
and sprinkler spacings are judged. Uniformity plays a similar
role in decisions regarding other types of irrigation systems.
In surface irrigation design, limits on factors like flow rates
or furrow length are set so that non-uniformity in the water application
will not be excessive. Hydraulic limitations on pipe networks
for trickle and sprinkler irrigation are similarly determined.
MEASURES OF IRRIGATION UNIFORMITY
There are many measures of irrigation uniformity
in use, and a discussion of all of them is beyond the scope of
this paper. Two commonly used measures will be presented here
to facilitate comparisons in some later examples. The first is
the Uniformity Coefficient (UC) proposed by J.E. Christiansen
in 1942.
UC = 100(1-[D/M])
where
UC = Uniformity Coefficient (%)
D = Average Absolute Deviation of Irrigation
Amounts
M = Average of Irrigation Amounts
The second measure is the Distribution
Uniformity (DU), proposed in one form or another by various workers.
DU = 100 (1-[LQ/M])
where
DU = Distribution Uniformity (%)
LQ = Average of the Lowest 1/4 of the
Irrigation Amounts
M = Average of Irrigation Amounts
These two uniformity measures are (approximately)
related by the equations:
UC = (0.63)(DU) + 37
DU = (1.59)(UC) - 59
Christiansen developed UC to measure
the uniformity of sprinkler systems, and it is most often applied
in sprinkler irrigation situations. UC has been occasionally applied
to other forms of irrigation, though. DU has been applied to all
types of irrigation systems. In trickle irrigation, it is also
known as Emission Uniformity (EU). It has been applied to sprinkler
situations under the name of Pattern Efficiency (PE).
UNIFORMITY AND SYSTEM ECONOMICS
Irrigation systems can be designed to apply water
with varying degrees of uniformity. A number of techniques can
be used in the design of a system to increase its uniformity.
For pressurized systems, these techniques include using larger
pipe sizes to minimize pressure differences due to friction losses,
using pressure regulators to minimize pressure differences due
to elevation differentials, using close sprinkler spacings, or
trickle emitters with low manufacturing variations. All such techniques
will increase the cost of the system, and in general, the cost
of the irrigation system goes up with the uniformity of application
(for a particular type of irrigation system).
But since higher uniformities mean higher irrigation
efficiencies, there are some savings associated with the higher
uniformity systems, notably savings in water and energy costs.
Sometimes these savings can offset the increased cost of the system.
I would like to illustrate this situation using a trickle irrigation
example developed by R.J. Kunde ("Life Cycle Costs Resulting
from Various Design Emission Uniformities," Proceedings of
the 3rd International Drip/Trickle Irrigation Congress, Volume
II, pages 859-866).
This example is based on a series of trickle system
designs for an 80 acre vineyard, using sound engineering practice
and actual costs for 1985 in the San Joaquin Valley of California.
Mr. Kunde compared investment costs, water costs and power costs
for 9 designs ranging in DU from 80 to 94% (this corresponds roughly
to a UC range of from 87 to 96%). The results of Mr. Kunde's analysis
are shown in table 2. Costs are given in 1985 US dollars. The
investment costs were converted to equivalent annual costs using
a Capital Recovery Factor of 0.1598 (15% interest rate, and 20
year investment period).
Initial investment costs increase with DU, while
water and power costs decrease. These trends are general, and
are to be expected in any agricultural area. The present example
is based on the relatively low water cost of 1.2 cents per cubic
meter, and power costs of 8 cents per kilowatt hour. The water
and power cost savings amount to roughly US $1.40 per acre/year
for each percentage point of DU improvement, more than enough
to pay back the increased cost of higher DUs. In agricultural
areas with higher water costs,
the savings due to improved efficiencies would be even higher.
For this example, the lowest total annual cost occurs with the
highest DU (94%).
Table 2. Irrigation Equipment, Water
and Power Costs for a Range of Distribution Uniformities
------------Annual Costs Per Acre---------
| Distribution
Uniformity
(DU)
| Initial
Cost
($/acre)
|
Investment
($/acre/yr)
|
Power
($/acre/yr)
|
Water
($/acre/yr)
|
Total
($/acre/yr)
|
| 94% |
809 | 129.26
| 19.34
| 36.23 |
184.83 |
| 92% |
798 | 127.52
| 20.73 |
37.01 | 185.26
|
| 90% |
800 | 127.88
| 22.89 |
37.84 | 188.61
|
| 88% |
795 | 127.06
| 23.91 |
36.69 | 189.66
|
| 86% |
788 | 125.98
| 25.76 |
39.59 | 191.33
|
| 84% |
780 | 124.66
| 27.84 |
40.54 | 193.04
|
| 82% |
775 | 123.77
| 30.14 |
41.53 | 195.44
|
| 80% |
774 | 123.63
| 32.59 |
42.56 | 198.78
|
CROP RESPONSE TO WATER AND UNIFORMITY
The response of a crop to applied water can be summarized in a
water yield function. This equation is used to calculate the yield
from the seasonal water application. It is convenient to express
both yield and applied water in relative or dimensionless terms.
Relative yield (y) is defined as the ratio of actual yield
to maximum yield, and relative applied water (w) is defined
as the ratio of actual applied water to that amount corresponding
to maximum yields. If w is taken to include effective rainfall
and soil moisture stored at the beginning of the season, the yield
function will be fairly general and can be representative of more
than one location or year. If the yield function is adjusted so
that w refers only to the water applied by the irrigation
system, the significance of various irrigation options is more
apparent, though some generality is lost. The shape of the yield
function also depends on the irrigation frequency, but it is generally
assumed that a yield function is valid for most "reasonable"
irrigation schedules.
A particular yield function for sugar
cane is given below. It is based on data from a number of sources,
and assumes that rainfall and soil moisture stored in the rootzone
at the beginning of the season amount to 20% of the water necessary
for maximum yield, and that sensitivity to excess is relatively
low.
y(w) = 0.05 + 2.47w
- 2.19w2 + 0.77w3 - 0.10w4
where
y(w) = Relative
Sugar Cane Yield corresponding to an irrigation application w
w = Relative Seasonal
Irrigation Application
Table 3 shows how relative sugar cane
yield changes with the relative seasonal irrigation application.
Because plants respond to water, they
respond to how uniformly the water is applied. Suppose, for example,
that sugar cane is irrigated so that 60% of the area receives
the yield maximizing amount of water (w=1.00), but that
for 20% of the area w=0.75, and that for the remaining
20% of the area, w=1.25. You would naturally expect the
overall yield to be the weighted average yield from these particular
irrigation amounts:
Table 3. Relative Sugar Cane Yield for Differing
Relative Irrigation Amounts
Relative
Irrigation
| Relative
Sugar Cane
Yield
|
| w
| y
|
| 0.25 |
0.54 |
| 0.50 |
0.83 |
| 0.75 |
0.96 |
| 1.00 |
1.00 |
| 1.25 |
0.98 |
| 1.50 |
0.92 |
| 1.75 |
0.85 |
Relative Yield = (20%)[y(0.75)] + 60%)[y(1.00)]
+ (20%)[y(1.25)]
Relative Yield = (20%)[0.96] + (60%)[1.00]
+ (20%)[0.98]
Relative Yield = 0.99
The small degree of non-uniformity
in the water application causes only a 1% decrease in yield. But
suppose the irrigation is much less uniform: for 35% of the area
w=0.50; for 30% of the area w=1.00; and for 35%
of the area w=1.50. In this case,
Relative Yield = (35%)[y(0.55)]
+ (30%)[y(1.00)] +(35%)[y(1.50)]
Relative Yield = (35%)[0.83] + (30%)[1.00]
+ (35%)[0.92]
Relative Yield = 0.91
The larger degree of non-uniformity
causes a 9% decrease in yields. The general formula for estimating
crop yields from non-uniform irrigation is:
Relative Yield = (P1)[y(w1)]
+ (P2)[y(w2)] +...+ (Pi)[y(wi)] +...
where P1, P2,...Pi are the percentages of the area
that receive relative irrigation amounts w1, w2,...,wi...,
and y(wi) is the relative yield associated with
wi by the yield function. In this way the crop response to various
degrees of non-uniformity can be estimated.
Based on the yield function given previously, the
relationship between uniformity and sugar cane yield is calculated
(Table 4). It is assumed that the irrigation amounts are normally
distributed.
Similar calculations can be done with yield functions
for other crops and circumstances to evaluate the yield influence
of irrigation uniformity.
Table 4. Influence of Uniformity on Sugar Cane
Yield
| Uniformity
Coefficient
UC
| Sugar Cane
Relative
Yield
|
| 100% |
1.00 |
| 95% |
1.00 |
| 90% |
0.99 |
| 85% |
0.98 |
| 80% |
0.97 |
| 75% |
0.95 |
| 70% |
0.93 |
| 65% |
0.90 |
| 60% |
0.86 |
| 55% |
0.82 |
| 50% |
0.77 |
Irrigation efficiency is important not only for the conservation
of agricultural resources, it can have important implications
in terms of system design and cost, operational costs, and crop
yields.
REFERENCES
Heermann DF and Kohl RA. 1980. Fluid Dynamics of Sprinkler Systems.
In: Design and Operation of Farm Irrigation Systems, ME Jensen
(ed), ASAE, St. Joseph, MI, pp 583-618.
Keller J. 1976. Irrigation Scheduling and Efficiency. Proceedings,
Rain Bird Seminars Relating to Irrigation Decision Making, Rain
Bird, Glendora, CA, pp 85-95.
Kunde RJ. 1985. Life Cycle Costs Resulting from Various Design
Emission Uniformities. Proceedings, 3rd International Drip/Trickle
Irrigation Congress, November 18-21, Fresno, CA, Volume II, pp
859-866.
Solomon KH. 1983. Irrigation Uniformity and Yield Theory. PhD
dissertation, Department of Agricultural and Irrigation Engineering,
Utah State University, Logan UT, 287 p.
Solomon KH. 1987. Sprinkler Irrigation Uniformity. Extension Bulletin
No. 247, Food & Fertilizer Technology Center, Tapei City,
Taiwan, Republic of China.
{ page top }