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Design of a geographic information supported database for the management of pressurised irrigation systems at the plantation du Haut Penja, Cameroon

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par Chick Herman AZAH
University of Dschang - Agric engineer 2009
  

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4.3 Water requirements in each plot 4.3.1 System requirements

The system water requirements vary with respect to the system in place. From the database, the quantity of water that was needed by each plot was obtained. The number of sprinkler heads which function simultaneously and the efficiency of the system concerned were considered in these calculations. Figure 4.3 shows a report of a query to calculate the system requirement using MS Access 2003.

The various systems found in the PHP group and their characteristics are: Big gun (canon) system

Rain bird big guns: 60 m3/h at 5 bars

Rainfall depth: 10 mm/h

Microjet system

Rondo type: 300 l/h at 1.5 bars

Rainfall depth: 3 mm/h

Undertree system

Rain bird type: 620 l/h at 3.0 bars

Rainfall depth: 4.78 mm/h

Figure 4.3: System water requirement as calculated in MS access

4.3.2 Crop water requirements

Climatic data for a period of 20 years (1989-2008) from meteorological stations in the plantation were used in this study. These stations provide rainfall and pan evaporation data.

The average annual rainfall varies from 2400 mm to 3200 mm and distributed as thus in the plantation, with Mantem being the highest in elevation and Bonanadam the lowest in altitude:

Mantem : 3200 mm/yr

Loum : 3200 mm/yr

PHP-haut : 2800 mm/yr

Dia-Dia, Bonandam : 2600 mm/yr

Sir, Mpoula : 2500 mm/yr

Four : 2400 mm/yr

There seems to exist a relationship between altitude and rainfall and enables us to distinguish the high altitude plantations (Mantem and Loum), low altitude plantations (DiaDia, Bonandam, Mpoula, Sir and Four) and intermediate altitude plantations (PHP-haut). The evapotranspiration was calculated in the database by applying a pan coefficient, Kp of 1.1 as indicated by Allen et al. (1998) and the crop coefficient as given by the database.

The RAW was found to vary by a factor of 10 with respect to the type of soil and by a factor of 4 with respect to root depth. The RAW was considered to be 10 mm for every 10 cm of root depth.

A probability study for the risk of non satisfaction of the crop water requirements was done on the 20 years climatic data available. All the rainfall data was assumed to be effective because of the following reasons:

· Rainfall in the dry season are the most susceptible to modify the terms of the water balance equation. We thus considered that during this period due to the physical properties of the soil (high water retention, high hydraulic conductivity), the quantity of water loss as run-off and drainage is negligible.

· Rainfall data obtain were already cumulated for each month and it was therefore difficult to distinguish rainfall that are less than 5 mm/day as proposed by Smith et al. (1998).


· Most of the soils of the group are andosols and hence have a high capillarity. This upward movement of water is thus considered to compensate for the non effective rainfall.

Table 4.4 gives the probability of satisfaction of irrigation requirements for a total of 20 years so as to better schedule irrigation with the use of the database knowing the risks that could arise I these water requirements are not fully satisfied. The table shows a summary of the average monthly water requirements for banana in the area.

Table 4.4: Probability of satisfaction of crop water requirements (requirements in mm)

 

Jan

Feb

Mar

Apr

May

Jun

Jul

Aug

Sep

Oct

Nov

Dec

1 yr/2

>102

>69

0

0

0

0

0

0

0

0

>31

>98

1 yr/5

>137

>127

>50

0

0

0

0

0

0

0

>82

>127

1 yr/10

>144

>139

>65

=0

=0

=0

0

0

0

0

>123

>139

1 yr/20

172

138

124

64

34

36

0

0

0

9

133

149

 

If we consider a probability of satisfaction of crop water requirements 1 yr out of 5, then we need to apply a total of 137 mm of water per month, an average of 32 mm/week.

If this risk of satisfaction is considered to be 1 yr/10, the quantity of water to be brought in through irrigation is 144 mm per month, giving an average of 33.5 mm/week.

Taking a risk factor of 1:20, that is, satisfying the crop water needs 1 out of 20 years, the water required by the crops will be 172 mm per month giving an average requirement of 40.2 mm/week for an average root depth of 50 cm.

With respect to the irrigation systems this water requirement could further be adjusted by applying the efficiency of the system, Keff. Table 4.5 thus shows the weekly dose of water to be applied taking into consideration the various satisfaction probabilities and the irrigation system concerned.

Table 4.5: Irrigation dose (mm) for two irrigation systems

Probabilty of non satisfaction Undertree Microjet

of irrigation water Keff =0.8 Keff =0.9

requirements

1 year/2

30

26

1 year/5

40

35

1 year/10

42

37

0 risk

50

45

 

This water requirement is been fractioned and applied three times in a week for soils with light textures as shown in the irrigation calendar in Appendix II. Thus for an application of 40 mm a week, the application could be 13.3 mm in 3 days.

When this water requirement is calculated, depending on the events of the previous day, the value is adjusted in the database. If for example, we simulate a situation where the effective rainfall is say 10 mm and that ETc is 4 mm then for a 21.3 mm crop demand, we would apply only 7.7 mm after a reduction of Peff and ETc. This shows that 7.7 mm of water could be saved. This could lead to reduction in the pumping time and cost of operation and increase in marginal profits.

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