universitÀ degli studi di firenze water requirement and scheduling irrigation to...then a pipe line...
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UNIVERSITÀ DEGLI STUDI DI FIRENZE
First Level Master degree in
Irrigation Problems in Developing Countries
THESIS ON
Estimating Water Requirement and Scheduling Irrigation to
soybean with optimization design of a drip irrigation system in
AL- ISHAQI -salah AL-Dean , Iraq .
Supervisor Student Name
Dott. Agr. Ivan Solinas Yasser Mohammed Ahmmed
Florence – Italy 2013-‘14
I
THESIS APPROVAL
Supervisor : Dott. Agr. Ivan Solinas
Supervisor signature
Date:
Student : Yasser Mohammed Ahmmed
Student signature
Date:
II
DEDICATION
To
My Parents
My wife Duaa and my children Deima and Amar
My brother and sister and their children
All my friends
All the students
III
ACKNOWLEDGEMENT
First and foremost, I would like to express of gratitude and honest
appreciation to my supervisor, Dr. Ivan Solinas, a lecturer at Florence
University, for his precious guidance and technical support that he gave me
throughout my work to successfully complete my thesis.
I would like to express my special gratitude to Dr. Nicola Arbaci the
Director of Istituto Agronomicodelll’Oltremare for the warm welcome he
showed us during our stay in IAO.
I would like to express my special gratitude to the Coordinator of the
Master, Professor Elena Bresci,and all the teachers who contributed and
participated in this program for their precious time and knowledge they shared
with us.
I am grateful Dr. Andrea Merli , and Dr. Elisa Masi , and all staff of IAO
who showed genuine concern in my studies and stay here in Florence, Italy.
Special thanks to Italian Ministry of Foreign Affairs, IstitutoAgronomico
Per L’Oltremare (IAO) , the UniversitàDegliStudi Di Firenze and Iraqi
Ministry of Agricultural for the opportunity to study here in Florence, Italy as
well as the numerous logistics and resources they placed at my disposal
without which conducting this study would have been very difficult.
I would like to make special mention of all my colleagues and mentors, my
dear family and friends all over the world who gave me moral support.
Thank you!!!
IV
TABLE OF CONTENTS
Acknowledgement …………………………………………………….... III
Table of contents ………………………………....................................... IV
List of table………………………………………… ………………...... VI
List of figure ………………………………………………… ………… VI
List of Abbreviations………………………………………………… … VII
Abstract …………...……………………………………………… ……VIII
Introduction……………………………………..………………..………..1
I.1Back ground of the study………………………………………….........1
I.1.2 statement of the problem……………………………………........3
I.1.3opjective of the study…………………………………………......3
I.1.3.1General objective……………………………………………...3
I.1.3.2Specific objective …………………………………………......3
I.1.4Justifiction of the study……………………………………….......3
Chapter II : literature review ………………………………………...........4
II.1 Drip irrigation…………………………………………….…………....4
II.1.1. Advantages of Drip irrigation …………………………..……......4
II.1.2. Disadvantages of Drip irrigation………………………………….5
II.2.Drip irrigation scheduling……………………………………………...6
II. 3. Crop water requirements under drip irrigation ………………………8
II.4.Irrigation requirements under arid and semi arid condition…………...9
II. 5.Ideal Percentage wetted area………………………………...............10
II. 6. soil wetting …………………………………………………....……10
II.7. Number of emitters per plant and emitter spacing…………………...11
II.8. Emitter selection………………………………………………..........12
II.9.soybean cultivation……………………………………………...........12
II.9.1. Climate…………………………………………………………...13
II.9.2. Soils and Fertilizer dose …………………………………….…...13
II.9.3. soybean duration……………………………………....................14
II.9.4 Water Requirements……………………………………………....14
Chapter III study area and metrology ……................................................15
III.1.presentation of the hydro-agricultural of Iraq…………………..…...15
V
III.1.1. Agro-climatic data of Iraq…………………………….............16
III.1.2 soil………………………………………………………….…..17
III.2. project located in Iraq………………………………………...…....17
III.3. Soils of the project area………………………………………........19
III.4. methodology ……………………………………………..…….….19
III.4.1. Collection of agro-climatic data. ……………………….........19
III.4.2. Determination of the Soybean water requirement………….....20
III.4.3. Design Software………………………………………..….…20
A) EPANET 2.0 ………………………………………………......20
B)Ve.pro. LG. s………………………………………………..........21
III.5.1. Choice of Plot………………………………………………........23
III.5.2. Plot division……………………………………………...............23
III. 6. irrigation equipment and cropping system…………………….......24
chapter IIII : result and discussion ……………………………….……..25
IIII.1. estimate crop water requirement ………………………………...25
Tables discussion …………………………………………..…..............26
IIII.2. drip line design …………………………………………...............26
IIII.2.1. Result ………………………………………………….……..27
IIII.2.2.Discussion…………………………………………… …...…..27
IIII.3.ranking include non pressure compensate ………………………....28
IIII.4.Operating under Python …………………………………….….....29
III.5. Discussion ……………………………………………….................30
IIII.6. pipe line design………………………………………………...…..32
IIII.6.1. Results………………………………………….……….…....32
A) System Overview………………………………………………...32
B)Characteristics of system components………………………….....33
Pipes…………………………………………………………....…..33
Pump…………………………………………………………….....33
C) System in operation. ……………………………………................34
IIII.6.2. Discussion………………………..………………………... ...35
Conclusion ……………………………………………………………....37
Recommendation………………………………………………………….37
VI
References ………………………………………………………….…..38
LIST OF TABLES
1- Table1 Values of Kr………………………………………………...9
2- Table 2 Area wetted by one emitter…………………………….....11
3- Table 3: Crop coefficient (Kc) values of soybean………………....15
4- Table 4: Agro-climatic data of AL- ISHAQI…………………......18
5- Table 5: Properties of AL- ISHAQI………………………………19
6- Table 6 : soil data…………………………………………………..25
7- Table7 :water requirement………………………………………....25
8- Table 8 : maximum daily requirement……………………………..26
9- Table 9 python d.22q.0.84s.o.3(2004),…………………………….27
10-Table 10: uniwine d.16 q.2.3s . 0.8comp(2005), ………………....27
11-Table 11 shown the Pipe characteristics……………………….....33
LIST OF FIGURES
1- Figure 1:Wetted area by one emitter…………………………….…11
2- Figure 2: maps of Iraq rivers……………………………………….16
3- Figure 3 project area………………………………………………..23
4- Figure 4: sub plot division……………………………………….…24
5- Figure 5: Ranking of Drip line……………………………………..28
6- Figure 6: Line checking under Python……………………………..29
7- Figure 7: Area checking under Python…………………………….30
8- Figure 8 :the best design for project location……………………...32
9-figure 9 : pump curve from network……………………………..…33
9- Figure 10: system watering the sub-plot 2 , 3……………………..34
10-Figure 11: System watering the sub-plot 1,4………………….….35
VII
List of Abbreviations
IAO Istituto Agronomico per l’Oltremare
LPD Liters per day
S soil water storage
Q emitter flow rate
L length between emitters,
H hedge (plant) width
ET depth of evapotranspiration
ETo Reference crop evapotranspiration
Kc Crop factor Kc
Kr Ground cover reduction factor
Etc potential crop evapotranspiration on t (mm)
T time
Pw Percentage wetted area
Aw Area wetted by one emitter
q emitter discharge
Kd discharge coefficient that characterizes each emitter.
H emitter operating pressure
x emitter discharge exponent
atm atmosphere
ha Hectare
FAO Food and Agriculture Organization
m.w.c. meter water column
IT information technology
VIII
ABSTRACT
with the objective that this study proposes optimal design of drip irrigation
system appropriate for soybean crop and scheduling irrigation in study area
which has loam texture through the use of computer software
project area was bordered by Google Earth software the latitude 33.790284 ,
longitude 44.375646 and elevation 43 m above the sea level . Then
CLIMWAT 2.0 was used to import climate data
First of all , the soybean water requirement as total gross irrigation
requirement 14632 m3/ ha / annual and net irrigation requirement 10242 m
3/ ha
/annual . according the efficiency 98% net daily irrigation requirement 10.9
mm has been determined with the software Cropwat based on the local climatic
and field conditions,
Having identified and ranked the drip lines available in the study area with
the software Ve.Pro.LG, the drip line Python proved to be one that provides the
best uniformity (98.5%) at the plot level, according to the field feature.
Then a pipe line system has been designed with EPANET to convey water
from the pool (water intake) to the plot. The pipe line system was fully
designed with pipe diameter (158.6 , 110.2) mm that makes it possible to
supply water with a discharge of 43.92 m3/hour and a flow velocity of 1.2 m/s
with a pressure of 2.70 m.w.c at end valves . These features ensure proper
operation of Python design.
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Introduction
I.1. Back ground of the study
The Iraqi lands irrigated by two means, regions are northern and
northwestern irrigated by rain, and wells that rely on groundwater, while the
areas of Central and South mainly irrigated by rivers water . The increase in
crop production with the provision of irrigation water has become one of the
important goals at the moment not only in Iraq but in all countries of the world
(Jason L., D. Bruin and P. Pederson ,2008)the soybean crops one of plants
with high water needs (Mahdawi. H. O., Abdullah J. and others , 2002),
therefore, identify or provide appropriate amounts of water for the crop to get
the High production is one of the difficult problems in arid and semi-arid lands
, Iraq is a part of them.
It was found that the efficiency of water use depends on the management of
soybean crop and appropriate irrigation method (Alessi J. and J. F. Power
1981). And that the occurrence of the crop moisture stress reduces the number
of plant branches and yield in general (Foroud, N.; H.H. Mundel; et al
,1993). also( Rotundo et al. 2009) observed that high seed protein content was
linked to greater leaf area index.
(Rose ,1988) indicated that oil and protein are key constituents of soybean
seed. Synthesis and deposition of oil and protein in the seed occurs during pod
filling stage. Therefore, semi- arid environmental conditions, deficit irrigation
and moisture stress affect the deposition of these two key constituents.
Moisture stress occurred early in pod filling resulted in a low protein and high
oil percentage. Increases in irrigation interval throughout the whole growing
season maintained protein contents constant while increased oil content, And
that the critical period of the need for water is pods formation stage and is fill
of seeds , the occurrence of any water stress during this phase reduce the yield
of plants . As found the shortage of irrigation water generally clearly caused a
low of yield . (Kranz, WL. ; R.W. Elmore et al, 1998) also that the increase in
irrigation water caused a negative impact on yield and its components , deficit
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irrigation should be avoided in order to obtain a high quality seed composition
and growth.
Soybean (Glycine max.) is an economical and valuable agricultural
commodity due to its unique chemical composition, It is one of the world’s
most important leguminous plants, It is considered as a good source of high
quality plant protein and vegetable oil. Given it's has high concentration of
protein (36-48%), oil (18- 24%), and carbohydrate (20%), soybean is grown in
almost all parts of the world for human consumption, industry and animal feed
(Arıoglu,; Boydak et al., 1989) Besides, diets including soybean have been
proposed to reduce risk of major diseases such as breast cancer, cardiovascular
disease, osteoporosis, diabetes and obesity. The biochemical composition of
soybean seeds affect the quality of various soy foods such as soy milk, soy
flour, tofu, soy sprouts, soy concentrates and soy isolates. Higher protein
content and low oil content are generally desirable characteristics for food
users (Kumar et al., 2006).
in order to save water under limited water conditions, take in account
the risk of lowered yield. less applied water compared to full irrigation (H.
Kirnak, E. Dogan1 et al , 2010 ) where it is necessary to determine the
quantities optimization of irrigation water, scheduling suitable for soybean
irrigation , which gives stability for plant to production high seeds yield
without any negative indexing so we should to search for alternatives for
optimal use and good management of irrigation water and using less possible
amount of Irrigation and regular , which guarantees the distribution of water is
ideal and without excess in water use , and this depends on the selection of
irrigation method , also irrigation criteria used in the field and optimal design
with low cost to provide large quantities of water with yield a high seeds.
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I.1.2. statement of the problem
The scarcity of water in the summer and use non-ideal prevents the
expansion in the cultivation of agricultural crops, including soybeans, where
conception in Iraq is the cultivation of the crop between two wheat season in
the agricultural cycle in the summer. it were getting varieties suitable for
environmental of Iraq through breeding and Improvement , planting date
beginning in June and harvested at the end of the October.
Soybean crops need to be irrigated frequently in order to avoid yield and
quality losses (Constable, G. A., Hearn , A.B . , 1980). Also ( Sutherland P.L.,
Danileson R.E., 1980) found that full irrigation after water stress during
flowering increased growth and quality. Water stress has also been known to
reduce oil and protein contents in soybean (Kumuwat et al., 2000; Rotundo et
al., 2009).
I.1.3. objective of the study.
I. 1.3.1. General objective.
The overall objective of the study is to design optimal drip irrigation system
for soybean production to support farmers in Iraq.
I. 1.3.2. Specific objective.
1-To determinate the rate of consumption of water for the growth season
2-To determinate how many water can save by management and design
optimization .
3-To save energy by optimization use of water by designing a reliable
irrigation system.
I.1.4.Justifiction of the study
The scarcity of water resources and increasing demand for water requires
the use of modern irrigation systems with high efficient irrigation in addition
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to improving the management of irrigation used in the current systems in order
to reduce water losses for the irrigation of the crop . increase the efficiency of
irrigation or of water use, taking into account the positive effects of these
systems , strategies used in the quantity , characteristics of the crop , and
maintain the soil.
CHAPTERI I : LITERATURE REVIEW
II.1. Drip irrigation
is one of the means of motorized irrigation where it is the addition of water
to the soil directly. The design of drip irrigation systems is very important in
order to improve the uniformity of distribution , reduce the cost and increase
production so the design is optimized design that gives higher efficiency and
lower the cost of distribution.
potential, drip irrigation can reach levels of uniformity of water distribution
and so a very high efficiency. While sprinkler systems are around 75-85%
efficient, drip systems typically are 90% or higher. What that means is much
less wasted water! For this reason drip is the preferred method of irrigation in
the simi arid regions ,but drip irrigation has other benefits which make it useful
almost anywhere. It is easy to install , easy to design, can be very inexpensive,
and can reduce disease problems associated with high levels of moisture on
some plants. drip irrigation best choice for soybean crops .
II.1.1. Advantages of Drip irrigation
Many claims as to the advantages of drip irrigation have been and are still
being made. currently, the following advantages are recognized:
* The evaporative component of evapotranspiration is reduced, as only a
limited area of the soil is wetted.
* The higher degree of inbuilt management that localized irrigation offers
reduces substantially deep percolation and runoff losses, thus attaining
5
higher irrigation efficiencies. Consequently, localized irrigation is
considered as water-saving technology;
* The limited wetted area results in reduced weed growth.
* Applicable to all forms of plots.
* Unaffected by wind.
* Reduced operating costs and labor. Human intervention is reduced to the
periodic inspection of equipment for filtering and control, and the proper
operation of drippers;
* Reduced risk of fungal diseases;
* Reduced sensitivity to the use of salt water. The salts are leached to each
application and rained at the periphery of the bulb humidifying outside the
scope of the active root zone. No risk of damage to the aerial parts of
plants by spraying of saline water.
II.1.2. Disadvantages of Drip irrigation
The major disadvantages of localized irrigation are:
* Localized systems are prone to clogging because of the very small aperture
of the water emitting devices hence the need for proper filtration and, at
times chemigation .
* The movement of salts to the fringes of the wetted area of the soil may
cause salinity problems through the leaching of salts by rain to the main
root volume. This can be avoided if the system is turned on when it rains,
especially when the amount of rain is not enough to leach the salts beyond
the root zone depth.
* Rodents, dogs and other animals in search of water can damage the lateral
lines.
6
* For crops of very high population density, the system may be uneconomic
because of the large number of laterals and emitters required.
* The relatively high investment cost of the system.
* The spatial development of the root zone is limited and concentrated in the
vicinity of the dripper making plants more susceptible to wind.
II.2.Drip irrigation scheduling
Drip Irrigation scheduling is the process of deciding when to run the drip
irrigation system, and for how long. It is a complex topic but of utmost
importance because it influences whether the crop gets the right amount of
water and nutrients, and whether valuable water is wasted to runoff or deep
percolation. It is both an art and a science because the irrigator must balance
known facts such as weather , chemistry, stage of plant growth and farm
cultural operations. Irrigation decisions are made by combining this data. Three
methods of scheduling are widely employed : soil moisture monitoring, plant
water stress monitoring, or the water balance method that predicts plant water
use. All three techniques may be used separately or together, and vary in the
types of data collected. On one end of the spectrum, the irrigator may make
decisions by physically evaluating the moisture content in a sample of soil, or
visually monitoring the appearance and color of the crop. On the other hand,
sophisticated instruments may be used to collect data on soil moisture, plant
water stress, weather conditions, and theoretical plant water use. while
automation equipment may actually run the system.
Because the wetting patterns from the emitters overlap, the in-line emitter
drip system can be considered a line source of water rather than a set of point
sources. This makes the irrigation schedule calculation simpler. The watering
schedule for the hedge is a function of the hedge geometry and the wetting
pattern geometry.
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Instead of calculating a watering time based on the entire hedge, it is simpler
to calculate based on a length of hedge equal to the distance along the tubing
between two emitters.
• Calculate plant water use (LPD/emitter) Where LPD = Liters per day
used by the hedge for a
distance equal to the Emitter
spacing.
• Calculate soil water storage (S / emitter) Where S = volume of usable
water (liters) in soil in
wetted area for each emitter.
• Calculate days between irrigation (S / LPD)
• Calculate irrigation run time (S / Q) Where Q = emitter flow rate
(LPH)
The evapotranspiration rate (LPD) for a length of hedge equal to the
distance between two emitters is calculated as follow;
LPD = ( ET mm / day ) ( m / 1000 mm) * H * L ( 1000L / m3)
= ET * H * L
Where:
LPD = evapotranspiration per emitter , liters per day ,
L = length between emitters, m,
H = hedge (plant) width, m,
ET = depth of evapotranspiration, mm
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II. 3. Crop water requirements under drip irrigation
The first step in irrigation scheduling is to determine crop water
requirements. Actual monthly crop water requirements can be estimated from
reference evapotranspiration and crop coefficient as bellow .
evapotranspiration is composed of the evaporation from the soil and the
transpiration of the plant. Since under localized irrigation only a portion of the
soil is wetted , the portion component of evapotranspiration can be reduced
accordingly using the appropriate ground cover reduction factor Kr.
For the design of localized irrigation systems:
ET crop-loc = ETo * Kc * Kr
Where:
ETo = Reference crop evapotranspiration using the Penman-Monteithmethod.
Kc = Crop factor
Kr = Ground cover reduction factor Kr.
FAO (1984) provides the reduction factors suggested by various researchers
in order .
The allowable depletion differs from one crop to another and it is a function
of evaporation power of the atmosphere. (Allen et al,1998) gave an allowable
depletion for Etc = 5 mm/day.
FAO (1984) provides the reduction factors suggested by various researchers
in order to account for the reduction in evapotranspiration (Table 1 ).
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Table 1: Values of Kr suggested by different authors (Source: FAO, 1984)
II.4.Irrigation requirements under arid and semi arid condition
In arid climates or during extended dry seasons , irrigation is necessary to
compensate for the evapotranspiration (crop transpiration and soil evaporation)
deficit due to insufficient or erratic precipitation. Irrigation consumptive water
use is defined as the volume of water needed to compensate for the deficit
between potential evapotranspiration on the one side and effective precipitation
over the crop growing period and change in soil moisture content on the other
side . It varies considerably with climatic conditions, seasons, crops and soil
types. For a given month, the crop water balance can be expressed as follows:
(FAO, 1998)
Etc (t) = Kc * ETo (t)
Where:
T = time (days)
Ground cover
(%)
Crop factor Kr according to
Keller
&Karmeli
Freeman
&Garzoli
Decroix CTG
REF
10 0.12 0.10 0.20
20 0.24 0.20 0.30
30 0.35 0.30 0.40
40 0.47 0.40 0.50
50 0.59 0.75 0.60
60 0.70 0.80 0.70
70 0.82 0.85 0.80
80 0.94 0.90 0.90
90 1.00 0.95 1.00
100 1.00 1.00 1.00
11
ETc(t) = potential crop evapotranspiration on t (mm)
ETo(t) = reference evapotranspiration on t (mm)
Kc = crop or land use factor
II. 5. Ideal Percentage wetted area
No proper minimum value for percentage wetted area pw has been
established .nevertheless ,system having high pw provide more stored water
should be easier to schedule and bring more of the soil system into action for
storage and supply of nutrient .as reasonable objective of design for widely
spaced crops ,to wet at least one-third and as much as two-third of the potential
horizontal cross-section area of root system 33% < pw < 67 values lower than
one-third are acceptable for medium and heavy soil texture .
For widely spaced crops pw must held below 67% to keep the strip between
rows relatively dry for cultural practices also reduce loss of water due to
evaporation even where cover crop are used .furthermore it is less costly to
have low pw for more emitter and tubing are required.
II. 6. soil wetting
Drip irrigation system normally wet only a portion the horizontal ,cross
sectional area of soil the percentage wetted area PW compared with the entire
cropped area depend on the volume and rate of discharge at each emission
point , spacing of emission point and type soil being irrigated ,the area wetted
at each emission is usually quit small at the soil surface expands somewhat
with depth to form an inverted bulb-shaped cross section .PW is determined
from estimate of average area wetted at depth of 150 to 300 mm beneath the
emitter divided by the total cropped area served .
Area wetted by one emitter depending on soil type (Source: Rainbird
International, 1980) .Table 2 , and figure 1
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Soil type Area wetted by one emiter (m2)
Sandy soils 0.5 - 2
Loamy soil 2 - 6
Clay 6 - 15
Table 2 Area wetted by one emitter
Figure 1 : Wetted area by one emitter depending on the soil type
II.7. Number of emitters per plant and emitter spacing
The number of the emitters required per plant is established as follows
Emitters per plant = ( Area per plant / Aw) * Pw
Where :
Area per plant ( m2)
Pw = Percentage wetted area /100 (%/100).
Aw = Area wetted by one emitter (m2).
12
II.8. Emitter selection
Amount of water enter to the soil and use by plant roots not depending on
the surface measured in mm per hour to provide readily available water
identified irrigation intensity , The following are some of the major emitter
characteristics that affect the system efficiency and should all be taken into
consideration during the emitter selection process:
* Emitter discharge exponent
* Discharge-pressure relationship to design specifications
q = Kd * Hx
Where:
q = emitter discharge (lph) .
Kd = discharge coefficient that characterizes each emitter.
H = emitter operating pressure (m).
x = emitter discharge exponent .
* Stability of discharge-pressure relationship over a long time.
* Manufacturer coefficient of variation.
* Range of operating pressure.
* Susceptibility to clogging .
* Type of emitter connection to lateral and head losses.
II.2. soybean cultivation
Soybean is considered as an economically important plant due to high
protein and oil levels and it’s several industrial uses. The plant is also used as
green, silage and dry fed. Plant biomass at the end of the flowering stage
13
contains high levels of proteins, oil, carbohydrates. Remarkably, each 100 kg
of plant biomass equals 21 forage units.
a varieties suitable for the cultivation in the Iraqi environment which have
Short growth season, High yield and Good quality .
The superiority yield from seeds of soybean crop shows the high efficiency
in the exploitation of environmental factors surrounding it to serve the process
of photosynthesis and then transport the outputs to the yield economic so the
soybean crop is planted in 70 cm between rows and 10 cm separate each plant
in result 140000 plant/ ha . (Jumaili, J. M. and Sarhan, I. A. ,2010 ) .
II.2.1. Climate
Soybean belong to short day plants and it is be affected by the optical
length of the period, on the basis of response for the day length soybean
varieties has been classified in 13 groups it were named according the different
maturity groups to fit agriculture in different regions of the world according its
geographical location, north and south.
The soybean crop needs to appropriate temperatures during the period of
pods formation and full of seeds and preferably not more than ˚ 35 c to ensure
get the seeds intact and free of crease (Board, J. E. ,1987). When exposed
plants to high temperatures during the pods fomentation and full of seeds,
especially at night will produce atrophic seeds where increases breathing and
consuming part of the products of photosynthesis as energy for purposes of
breathing and decreases the transform of these products to the seed newly
formed. (Caviness,C.E., and Fagala, B.L.1973) .
II.2.2. Soils and Fertilizer dose
soybean cultivation possible in all types of lands .the optimal soil for
cultivation have flat land with fertile soil , medium texture , good drainage ,
good aeration and high field capacity . free salt (no more than 4mmhos ) and ph
range 6 - 7 ideal for soybean .
14
it as one from leguminous crops fixing Nitrogen but due to the high
temperatures in Iraq kill bacteria which fixing N and the absence inoculation,
so must double the amounts of N , where up to 140 kg / ha N where used urea
(N 46%)350 kg/ha allocation in three shuts and supper phosphate fertilizer (p
21%) 240 kg/ha also potassium k 2o5 (k 41%) 75 kg / ha , supper phosphate
and potassium fertilizers has been added before cultivate (Jumaili, J. M , 2007).
II.2.3. soybean duration
Internalization of Soybean crop for environment is narrow, therefore, its
varieties grow in specific environmental areas appropriate for a group of
maturity which belongs , which amounted to 16 maturity set divided according
to the period from planting to maturity for each region from southern Canada
to the southern United States (Alsahoeke, M. ,1991).
life cycle of the plant was divided on the basic stages starting stage of
germination where the show seedling above the soil surface , with the growth
of the main stem and leaves that come out from its bases the lower section of
the side branches and phase begins tillering , and then activates the plant
growth starts flowering stage after 35-70 days of germination, where showing
floral buds and inflorescences on the stem on a regular basis from the bottom to
the top, (continue flowering 25-35 days or more), then the budding of the pods
and begins mature gradually, to change the color of the plant to yellow and dry
up the pods than The falling leaves .
II.2.4 Water Requirements
one of the factors used in determining the amount of irrigation water and
determine the water balancing and scheduling irrigation in the calculation of
factor of relative production it is water consumption(Fipps , F. ,2001)
Soybean crop is considered a medium drought-resistant, and need more
than 6000-7000 cubic meters of water per hectare required for the plant in
different quantities through stages of growth. It is less during the early stages
of growth and even flowers (60-70% gross of plants in field) and then
increased during the period of the budding and flowers, pods and full maturity,
15
where the plant needs water during this period than 70-80% at field capacity.
So soybean is grown on land where irrigation water is available, table 3 shown
crop coefficient of soybean .
Table 3: Crop coefficient (Kc) values of soybean From: FAO Irrigation
and drainage Paper 33, Table 18.
CHAPTER III : STUDY AREA AND METHODOLOGY
III.1. PRESENTATION OF THE HYDRO-AGRICULTURAL
OF IRAQ
The water resources of Iraq depend largely on the surface water of the Tigris
and Euphrates rivers and most of the natural renewable water resources of Iraq
come from outside the country. The sources of the Euphrates and Tigris are in
the Armenian Plateau. The Euphrates receives its main tributaries before
entering Iraq, while the Tigris receives several streams on the eastern bank
within the country (nations encyclopedia). In the hills more to the north, spring
water from aquifers is used as the main source for drinking water (figure 2).
Crop Crop development stages Total
growing
period
Initial Crop
Development
Middle
season
Late
season
At
harvest
soybean 0.3 -
0.4
0.7 –
0.8
1.0 -
1.15
0.7 -
0.8
0.4 -
0.5
0.75 -
0.9
16
figure 2: maps of Iraq rivers
III.1.1. Agro-climatic data of Iraq.
The climate in Iraq is mainly of the continental, subtropical semi-arid type,
with the north and north-eastern mountainous regions having a Mediterranean
climate. Rainfall is very seasonal and occurs in the winter from December to
February, except in the north and northeast of the country, where the rainy
season is from November to April. Average annual rainfall is estimated at 216
mm, but ranges from 1 200 mm in the northeast to less than 100 mm over 60
percent of the country in the south. Winter are cold, with a day temperature of
about 16 °C dropping at night to 2 °C with a possibility of frost. Summers are
dry and hot to extremely hot, with a shade temperature of over 43 °C during
July and August, yet dropping at night to 26 °C.
Iraq can be divided into four agro-ecological zones (FAO, 2003):
17
Arid and semi-arid zones with a Mediterranean climate. A growing
season of about nine months, over 400 mm of annual winter rainfall, and
mild/warm summers prevail. This zone covers mainly the northern
governorates of Iraq. Major crops include wheat, barley, rice and chickpea.
Other field crops are also produced in smaller quantities. There is some
irrigation, mainly from springs, streams and bores.
Steppes with winter rainfall of 200–400 mm annually. Summers are
extremely hot and winters cold. This zone is located between the
Mediterranean zone and the desert zone. It includes the feed barley production
areas, limited wheat production, and it has limited irrigation.
The desert zone with extreme summer temperatures and less than 200
mm of rainfall annually. It extends from just north of Baghdad to the Saudi
Arabian and Jordanian borders. It is sparsely populated and cultivated with just
a few crops in some irrigated spots.
The irrigated area which extends between the Tigris and Euphrates
rivers from the north of Baghdad to Basra in the south. Serious hazards for this
area are poor drainage and salinity.
III.1.2. soil
Soils vary from one site to another. The General Scheme of Water Resource
and Land Development in Iraq divided Iraqi territory to four zones (General
scheme of water resources and land development in Iraq, 1982) they are:
mountain-valley soil, Jazeera desert (its northern part), piedmont gently
sloping–undulating plain, and lower Mesopotamian plain. (Allen R.; L. Pereira
and et al,1998).
III.2. project located in Iraq
AL- ISHAQI Is a city in the central province of Salah al-Din at a latitude
of 33 ° , longitude 44° and elevation 43 m , on the main road linking Baghdad
to Tikrit and Mosul. Located on the Tigris River and it is surrounded by many
of the farming villages. Away from the city of Baghdad 100 km . It is bordered
to the south area of the island bordering the east side of the Tigris River .
18
Irrigation Irrigation Project ISHAQI current: - branched project right
Tigris River discharge design of 80 m3 / s and the main stream transfer water
to the wide irrigation network in the project and a length of 41.700 km , a
padded concreted and plate , rubber and concrete slabs and branching out from
6-channel irrigation work conduct a total of 5823 liters / sec irrigates area of
25546 acres . branching from the main stream are two channel , channel
eastern and western stretches where channels for irrigation work Ikunan
network wide extension of Salah al-Din province until Baghdad province with
a total area of 637 667 thousand without . Where the reclaimed land 249 478
acres and partially reclaimed land and 37,000 acres of land reclaimed third
parties 90 748 acres. Below agro-climatic data for project area according use
new –loc software program (Table 4).
month Min
Temp
Max
Temp
Humidity Wind
Km/ h
Sun
Hrs
Rad
Et
Mm/d
Rain
mm
Rain
effect
January 4.22 16.19 8.81 7.58 5.42 10.08 41.59 22.45 21.7
February 5.77 18.87 8.52 8.74 6.33 10.56 65.12 21.65 20.9
March 8.97 22.84 9.31 9.39 6.48 11.56 112.44 24.75 23.8
April 14.11 28.88 12.84 8.80 7.46 12.59 142.81 16.75 16.3
May 19.66 35.96 11.28 9.33 8.52 13.51 219.72 10.44 10.2
Jun 22.96 41.19 9.67 10.44 11.04 14.18 278.17 0.00 0.0
July 24.80 43.61 10.50 10.84 10.47 14.06 302.24 0.00 0.0
august 24.70 43.39 11.19 9.77 10.32 13.20 270.99 0.00 0.0
September 21.31 39.83 10.75 8.37 9.39 12.21 207.18 0.00 0.0
October 16.23 33.53 10.92 6.79 8.04 11.18 142.49 7.05 7.0
November 10.79 24.79 11.93 6.77 6.27 10.22 71.85 10.64 10.4
December 5.74 17.83 10.25 6.58 5.40 9.53 40.55 23.92 23.0
Table 4: Agro-climatic data of AL- ISHAQI , data From: New_LocClim_1.10
from the table 4 the data showed there is no rainfall in the months from Jun
till the September and a low amount in the October so must provide amounts of
water for irrigation because the soybean crop growth season being in that
months no rain with highest evapotransperaition.
19
III.3. Soils of the project area
Table 5: Properties of AL- ISHAQI soil the project area use HWSD
(harmonized world database viewer) soil group software to get data below .
Topsoil Dominant soil 0-30 cm Dominant soil30-100 cm
Sand fraction 35 37
Silty fraction 47 45
Clay fraction 18 18
Texture classification Loam Loam
Reference bulk density (kg/m3 1.41 1.42
Bulk density (kg/m3) 1.39 1.41
Gravel content 10 11
Organic carbon % 0.6 0.4
Ph 8 8.1
CEC(clay)(cmol/kg) 65 84
ECE(soil)(cmol/kg) 14 13
Base saturation 100 100
TEP (cmol/kg 19.8 20.7
Calcium carbonate 11.7 12.2
Gypsum % weight 0.2 0.3
Sodicity (ESP)% 2 3
Salinity (ECe ds/m) 0.2 0.3
Table 5: Properties of project soil
III.4. METHODOLOGY
III.4.1. Collection of agro-climatic data
meteorological data were generated by the software New LocClim 1.10
from the interpolation done locally after enter coordinates of project location
that obtained by google Earth software. use HWSD Viewer-HWSD soil group
software to get soil information for project area .
21
III.4.2. Determination of the Soybean water requirement
Soybean water requirement is determined using the software CROPWAT
8.0 developed by FAO. The crop coefficient Kc, however, was adjusted to
bring them closer to arid and semi-arid conditions.
III.4.3. Design Software
As well as the software that was mentioned before ,two programs were used
to design the irrigation system:
A) - EPANET 2.0 is a computer program that performs extended period
simulation of hydraulic and water quality behavior within pressurized pipe
networks. A network consists of pipes, nodes (pipe junctions), pumps, valves
and storage tanks or reservoirs. it tracks the flow of water in each pipe, the
pressure at each node, the height of water in each tank, and the concentration of
a chemical species throughout the network during a simulation period
comprised of multiple time steps. In addition to chemical species, water age
and source tracing can also be simulated.
EPANET is designed to be a research tool for improving our understanding
of the movement and fate of drinking water constituents within distribution
systems. It can be used for many different kinds of applications in distribution
systems analysis. Sampling program design, hydraulic model calibration,
chlorine residual analysis, and consumer exposure assessment are some
examples.
Full-featured and accurate hydraulic modeling is a prerequisite for doing
effective water quality modeling. EPANET contains a state-of-the-art hydraulic
analysis engine that includes the following capabilities:
• places no limit on the size of the network that can be analyzed
• computes friction head losses.
• includes minor head losses for bends, fittings, etc.
21
• models constant or variable speed pumps
• computes pumping energy and cost
• models various types of valves including shutoff, check, pressure
regulating, and flow control valves • allows storage tanks to have any
shape (i.e., diameter can vary with height)
• considers multiple demand categories at nodes, each with its own pattern
of time variation
• models pressure-dependent flow issuing from emitters (sprinkler heads)
• can base system operation on both simple tank level or timer controls
and on complex rule-based controls.
Steps in Using EPANETOne typically carries out the following steps when
using EPANET to model a water distribution system:
1. Draw a network representation of your distribution system or import a
basic description of the network placed in a text file .
2. Edit the properties of the objects that make up the system .
3. Describe how the system is operated .
4. Select a set of analysis options .
5. Run a hydraulic/water quality analysis .
6. View the results of the analysis .
B) - Ve.pro. LG. s for the design of the distribution network at the sub-plot
level, namely drip lines systems is a software application that performs
operation checks dimensioning and design of drip irrigation systems, with the
aim to increase the uniformity of distribution irrigated, to save water and to
reduce energy consumption. Through the use of Ve.Pro.LG / s is possible to
assess the functioning of entire sectors of irrigated field crops, trees and
22
nurseries, even if grown on soils with high slopes and slope changes along the
row.
To use the full potential of Ve.Pro.LG s. must first provide details on the
specific situation in which we act. Having this information, software, through
its operational instruments, produces a complete picture of technical and
economic evaluations.
In particular, on existing systems, specifying the model used drip line, the
slope of the terrain, the length and pressure lines, the operational tools "test
lines on the header of unilateral (l / h. m) and verify lines bilaterally on the
head (l / h. m) reconstruct the operation in terms of proper maintenance and
adequate water filtration, and provide for individual lines or optionally the
entire industry, the value of the following parameters:
* Index to estimate the uniformity of delivery EU (%).
* Energy input required for water delivery (W h / m³).
* Minimum, maximum and average in liters per hour per meter of line (l/h.m).
* Pressure min, max and average, expressed as water column height H(m w.c).
* Average intensity of irrigation (mm/h).
* Waste water or water that is lost in seepage, deep, to avoid excessive
portions of crops are irrigated in a deficit, expressed both in percentage
terms than in m³ / ha or even in m³ / year on the sector.
* Annual energy consumption in kwh/ha or optionally in kwh for the entire
industry.
* Annual energy cost in € / ha or optionally in € for the whole industry, both in
the case of pumps coupled to electric motors, which powered by a diesel
internal combustion engines.
* Annual incidence of the purchase cost of the drip lines in € / ha or optionally
in € for the entire industry.
23
III.5.1. Choice of Plot
Have been bordered experiment area by use Google earth software (figure
4) for the establishment designing drip irrigation in the project study, the
land is rectangular in shape has dimensions 260 m width and 500 m length an
area of about 13 hectares next to research station , it is a plane nearby
recharge reservoir
.III.5.2. Plot division
To give some flexibility to the scheme, the plot of 13 ha has been divided
into four (4) sub-plots of 3.25 ha each one . This division is designed to enable
simultaneous operation or not of these four sub-plots, Allowing to vary the
crop pattern ( figure 3 , 4) .
figure 3 project area
24
500 m
250 m
130
260
Figure 4: sub plot division
III.6. irrigation equipment and cropping system
A census of all irrigation equipments (pipe and pipeline) available in the
study area and surrounding countries has been conducted. Only identified
equipments have been used in the modeling of irrigation system .
the distance between two line irrigation 140 cm for four crop raw . 178 line
irrigation per sub-plot irrigated by , line length 130 m established middle
between two crop raw which far each other 70 cm.
the distance among plants 10 cm that’s mean 2600 plants irrigated by one
line resulting 462.800 plants irrigated for each sub-plot .
Sub-plot 3
Sub-plot 2
Sub-plot 4
Sub-plot 1
25
CHAPTER IIII : RESULTS AND DISCUSSION
IIII.1. estimate crop water requirement
studies started on the soybean crop in Iraq recently so there are no
measurements of the crop coefficient Kc climatic Iraq conditions as well as
the different maturity groups for varieties which belong its (the length of the
growing period). the crop coefficient taken from studies of FAO areas similar
to the climatic conditions in Iraq and the length of the period of growth and use
it in cropwat software , get the result below .
Table 6 : soil data that obtained by soil water characteristic software was
entered.
Table 7 :water requirement
26
Table 8 : maximum daily requirement
From: Cropwat analysis
Tables discussing
the total available soil moisture at field capacity 130 mm/m ( table 6).also
The total gross irrigation is equal 1463.4 mm (table 7), with a maximum daily
net water requirement of 10.7 mm/day in August (Table 8) due to highest
temperature in that month in semi drought areas lead to increased
evapotranspiration averages as well as no rainfall during season growth . we
can get gross irrigation daily by divided net irrigation daily on distributed water
efficiency that has resulted from drip irrigation design. The irrigation system
must be able to meet this needs . It will therefore be sized in relation with this
requirements.
IIII.2. drip line design
The drip line design is the design of the irrigation system at field level. It is
consists in choosing, depending on the characteristics of the field, the drip line
that provides better uniformity while having a look at the investment cost. Was
chosen connection type layflat, its available in the study area . because the
land is flat there is no slop so is used pumping . the lateral length is 130 m
,manifold 250 m to decrease the roughness and get high efficiency as well as
maintain flow rate and pleasure for each sup plot .
27
IIII.2.1. Result
Has been use manifold manicone sf 10 with a variable internal diameter
(156 , 127 , 104 mm) the suggestion design include non pressure compensate
is ( python d.22q.0.84s.o.3(2004)) according VePeoLG software . the
suggestion design include pressure compensate is ( uniwine d.16 q.2.3s .
0.8comp(2005)) below get result consideration characteristic that required (
table 8 , 9 ) respectively .
Table 9: VePeoLG Software,python d.22q.0.84s.o.3(2004),non pressure
compensate
internal
diameter
Inlet
pressure
Plot flow
rate l/s
EU Available
water %
Lost ater
%
156 mm 2.7 12.2 98.5 98 2
127 mm 2.7 12.1 98.1 98 2
104 mm 2.9 12.3 98.1 98 2
Table 10 : VePeoLG Software,uniwine d.16 q.2.3s . 0.8comp(2005),
pressure compensate
IIII.2.2. Discussion.
From table 9 shows highest efficiency with more advantage from water with
use internal diameter 156 mm also lowest Inlet pressure 2.7 m c.h and flow rate
12.2 l/s ,and vice when use 104 mm internal diameter Inlet pressure 2.9 mc h
, flow rate 12.3 l/s . available water is the same 98% . we have a conflict , To
internal
diameter
Inlet
pressure
Plot flow
rate l/s
EU Available
water %
Lost ater
%
156 mm 8.7 18.8 96.5 97 3
127 mm 9.1 18.6 97.8 98 2
104 mm 9.4 18.6 98.1 98 2
28
reduce material cost we need to use small pipes diameter, to reduce energy cost
we need to reduce head loss and so to increase pipes diameter , the system
design parameters vary with diameter of pipe.
The table 9 shows high efficiency with pressure compensate ,but high inlet
pressure and flow rate not suitable to save water and energy so we rely on table
8 choose internal diameter 156 mm is suitable for our projective .
IIII.3.ranking include non pressure compensate
According to the sub plots features i.e. rectangular of side 130 m with no
slope the rank of drip line according to the distribution uniformity gives the
result shown in figure 10.
Figure 5: Ranking of Drip line according to uniformity
From: VeProLG analysis
29
All design provide uniformity above 95 %, which is potentially useful in
designing a system of drip irrigation and the highest design number one 98.3 %
for line drip with intensity 1.9 mm/h suitable to soil project area (hydraulic
conductivity ).
IIII.4.Operating under Python
Figure 6: Line checking under Python
From: VeProLG analysis
Python provides uniformity on line of 98.3 %, with an operating pressure of
6.00 m w.c and an irrigation intensity of 1.94 mm/hour (figure 6).
31
Figure 7: plot Area checking under Python
From: VeProLG analysis
The area uniformity is 98.1 % and the area flow rate is 12.2 l/s equal 43.92
m3 / hour (figure 4).
Application efficiency at plot level, is the ratio between the amount of water
used by the crop (évapotranspiration, ET) and the amount supplied to the plot
so by increasing efficiency can saving more water for another land to irrigate .
IIII.5. Discussion
Verification and design of drip line and plant areas for saving water and
energy (VEPROLGS) is an application software, that performs the operation
checks dimensioning and design of systems of drip irrigation, the aim to
increase the uniformity of distribution of irrigation, to save water and reduce
31
energy consumption. Through this software it is possible to assess the
functioning of entire sectors of irrigated field crops, even if grown on slopes
and strongly with changes in elevation along the row.
Among the drip line available in the study area, provide a uniform
distribution over 90% . (90% being the acceptable threshold in drip
irrigation)., i.e. drip line whose discharge varies very little or not in case of
change of pressure (Emitter discharge exponent x close to zero). Another
characteristic drip lines is their relatively high cost due to this particular
characteristic.
ranking drip line (Python) is not self-compensating and does provide a very
satisfactory uniformity of 98.3 % on line and 98.1 % on sup plot area .
Moreover, Python has the advantage of operating under a very low pressure 6
m.w.c on line and 2.7 m.w.c. on area which means a low energy requirement
by pumping (Annual cost of energy €/ha).
Knowing that the cost of non self-compensating drip lines is significantly
less than the cost of self-compensating drip line, and also considering that a
uniformity of 98.1 % is sufficient to ensure proper functioning of the system, it
is preferable to choose the drip line Python to design the irrigation system.
Considering that the system operates by rotational distribution of irrigation
water within the four (4) sub-plots and the drip line Python delivers a irrigation
intensity of 1.4 mm / hour to each two sub-plot a pump that provides a flow
rate of 43.92 m3 / hour is enough to cover the system water needs.
Python has an operating pressure of 2.7 m c h therefore the choice of the
pump’s pressure will reflect this operational pressure and should take into
account the head losses due to the transport of water inside the pipe lines as
well as head losses by use filter .
Moreover, the intensity of irrigation issued by Python (1. 4 mm/hour) is
sufficient to meet the maximum daily water requirement of 10.7 mm/day in
just 8 hours to supply water for two sup plot . It implies that in a system of
32
rotational irrigation between the 4 sub plots, it is possible to irrigate the whole
sub plots in less than 16 hours per day .
IIII.6. pipe line design
Irrigation efficiency is ratio between the amount of water used by the crop
(évapotranspiration, ET) and the amount withdrawn from the available water
source so must decrease Losses in the conveyance system.
our target about water velocity is 1 m/s. So means that we have to be able to
design a pipe diameter for each different pipes that allow us to have a velocity
less than 1 m/s but also near than 1 m/s.
The Pipe line design concerns the design of the system from the water
intake (pool) to the head of each of the four sub-plots. It aims to choose the
size of the pipes that ensure to each two sub-plot an optimal operating pressure
and flow rate.
IIII.6.1. Results
a) System Overview , from figure 8 get the best design for project location
pool
33
b) Characteristics of system components
- Pipes Table11 shown the Pipe characteristics which used in drip irrigation
system
Pipe identity Pipe 1 Pipe 2 Pipes 3 &4
Pipe characteristics
Length (m)
Diameter(mm)
Roughness
170
158.6
140
131
158.6
140
125
110.2
140
Table11
- Pump Using a pump catalog to find a family of pumps that have a good
curve (means like horizontal curve , more than as possible ) , and we want
work, if is possible, in the middle position of pump curve (this mean good
efficiency) . From the relation between flow rate and total hydraulic head that
is resulted by python design we can determine a family of pump (NB / NK 80_
200 ). The characteristics of the pump used in the design are given in the
(figure 9).
figure 9 : pump curve from network GRUNDFOS WECAPS .
the curve of pump be compatible with Hertz ( HZ electricity )to govern on
required flow rate.
34
c) System in operation
watering system as clarified below for the sub-plot 2 , 3(Figure 9)
Figure 9: watering system to sub-plot 2,3
The system delivers to the sub-plot 2 , 3 a Flow rate of 43.92 m3/ hour with
a Pressure of 2.7 m.w.c and a flow velocity of 1.26 m / s in the pipe (3 , 4).
but in the pipe (1 , 2) it's 1.24 m / s (figure 9).
35
watering system as clarified below for the sub-plot 1,4(Figure 10)
Figure 10: watering System to sub-plot 1 , 4
The system delivers to the sub-plot 2 , 3 a Flow rate of 43.92 m3/ hour with
a Pressure of 2.7 m.w.c and a flow velocity of 1.26 m / s in the pipe 3 , 4 but
in the pipe 1 , 2 it's 1.24 m / s (figure 10) .
In same time two sub plot irrigated together for lower irrigation time and
maintain operation system with best demand to distribute water by use two
valve , each one recharge 178 drip line ( sub-plot) to insure high efficient
distribution uniformity.
IIII.6.2. Discussion
The advantage of EPANET is that every change in pipe diameter and length
is automatically calculated and changes in key parameters such as velocity and
pressure are indicated at the particular location for the designer to make a
decision.
36
Because the project land is plane There is no head losses resulting from
elevations , the head losses just from pipe length and the filter used pluses with
inlet pressure 2.7 equal 13.2 mwc.
High velocities tend to increase the unit head losses in the pipe stretches so
we can reduce the velocity by increase diameter of pipes The pipe line system
was designed with 158.6 for pipe(1.2) and110.2mm for pipes(3,4) diameter.
This diameter ensures a flow velocity equal 1.2 m/s while maintaining a
pressure close to 2.7 m.w.c. This corresponds to the operational pressure of
Python.
Pump has been used with low operating pressure 23.18 MWC design.
Although Python works in operating pressure 2.7mw.c., was used with a pump
pressure of 23.18 m w.c. in order to compensate for the loss caused by the
transfer of the water inside the pipe (friction).
The same diameter of the pipe 1 , 2 was kept constant because the delivery
system will be by rotation between the 2 sub plots. Then all the water from the
pump will be used by a double sub-plot at a time. This means that the same
discharge (43.92 m3 / hour) will be conveyed from the pump to two sub-plot.
Hence the necessity to ensure a constant flow velocity.
Has also been used valves (PRV) with the loss coefficient for the head
pressure required at each level two sup plot. If you open all the valves together
pump is unable to provide all of this flow rate and pressure will be unstable. In
fact 4 sub plot are getting the head pressure a little bit higher than they need,
and the need to reduce the pressure to the desired pressure
Has been also integrated a filter to the design although EPANET does not
offer this option. But in order to assure to the drip line system good water
quality and thereby avoid emitters clogging, the use of filter is required. The
choice of this filter could indeed integrate a sand filter and a disc filter as the
source of water for irrigation is surface water (dam).
37
Conclusions
The main objective in the design of pressurized irrigation networks is to
achieve an optimal system irrigation which satisfies water requirement for
plants , Hydraulic Modeling computer software can be used for.
The using of tools such as Soil Water Characteristics , Cropwat, VeProLG
and EPANET software helped to design a complete drip irrigation system .
Final design of irrigation system has distributed efficiency 98.1%, and
operating with very low demand of energy by pumping, only 2.7 mwc of
operating pressure. This increases performance significantly in the provision of
water for irrigation, and therefore, allows the extension of irrigated areas with
the same resources, as well as the sustainable use.
This design was designed for the cultivation of soybean in project area in
Iraq but the same approach might be applied to other crops on different
agricultural fields . As well as The system also has the advantage of being
designed with a fully irrigation facilities available in the study area , which
makes its eventual implementation feasible and quite easy.
This methodological approach and especially the final result provide a guide
for the future of irrigated agriculture to develop . The study includes the
optimal design irrigation network and analyzing a real simple irrigation
network to verify the adequacy of pumps installed .
Recommendations
Complementarily to networks are the agro meteorological irrigation
information systems , and Simulation models be relevant to support farmers
selection of water-use options, including crop patterns and irrigation systems to
implement appropriate irrigation scheduling . Management for irrigation under
water scarcity includes agronomic, economic, and technical practices lead to
design optimal irrigation system . IT in irrigation can help but real and actual
data from field are always the best approach . Many simulations also mean a
lot of trial and sometimes can be far from the reality.
38
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