SAPWAT |
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for the estimation of crop irrigation requirements by irrigation engineers , planners , agriculturalists , administrators , teachers and students . The development of the SAPWAT3 and SAPWAT4 programs is based on the FAO published Irrigation and Drainage Report No . 56 , Crop evapotranspiration . Guidelines for computing crop water requirements ( Allen , et al ., 1998 ).
Figure 3 Variables taken into account when estimating irrigation water requirements
This intuitive and comprehensive document is highly acclaimed and has become accepted internationally . As the calculation of crop evapotranspiration is the first and essential element
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of any routine for estimating crop irrigation requirement , SAPWAT4 has at its core the computer procedures contained in FAO 56 . Extensive use was also made of FAO Irrigation and Drainage Report No . 66 , Crop Yield Response to Water ( Steduto , et al ., 2012 ) for reviewing crop coefficients . |
Figure 4 Weather stations included in SAPWAT4 , each dot represents a weather station
The irrigation requirement of crops is dominated by climate , particularly in the yearly and seasonal variation in the evaporative demand of the atmosphere as well as precipitation . SAPWAT4 has included in its installed database comprehensive weather data that is immediately available to the user ( Figure 4 ).
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Weather data base
Firstly , it includes the complete FAO CLIMWAT weather data base ( Smith , 1993 ) encompassing not only South Africa , but many other countries in the world where there is irrigation development . CLIMWAT comprises 3 262 weather stations from 144 countries , and contains long-term monthly average data for calculating Penman-Monteith ET0 values as well as rainfall . While CLIMWAT weather data output is monthly averages , SAPWAT4 calculations are based on daily values requiring interpolation . This has been facilitated in SAPWAT4 by statistically fitting a cosine curve to the monthly ET0 values .
Secondly , the installed set of weather data in SAPWAT4 also includes derived weather stations , presently only applicable to South Africa . This database was developed from the South African Atlas of Climatology and Agrohydrology by the team from the School of Bioresources Engineering and Environmental Hydrology , University of KwaZulu- Natal ( Schulze and Maharaj ,
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2006 ). The derived weather stations are located at the centroid of the polygon that represents each quaternary drainage region of the country and provide not only comprehensive coverage , but also 50 or more years of historical and predicted ( 1950- 1999 for most cases ) daily weather data . This capability has major implications for planning and for strategy development .
SAPWAT4 provides facilities for importing additional weather station data , including data produced by the New LocClim Climate Estimator , an FAO program that produces monthly climate data for any place on earth .
Figure 5 Köppen-Geiger climatic system for Southern Africa
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D1000 |
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Thin Wall Drip Line with |
A |
ActiveFlexTechnology |
Product Options |
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Diameter |
Wall |
Flow Rate |
Standard Dripper Spacing |
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( mm ) |
( mil ) |
( mm ) |
( l / h ) |
cm |
16 |
6 |
0.15 |
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16 |
8 |
0.20 |
1.0 , 1.5 |
15 , 20 , 25 , 30 and 40 |
22 |
8 |
0.20 |
Product Options |
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Diameter |
Wall |
Flow Rate |
Standard Dripper Spacing |
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( mm ) |
( mil ) |
( mm ) |
( l / h ) |
cm |
|
16 |
30 , 35 , 40 , 45 |
0.76 , 0.89 , 1.02 , 1.14 |
1.0 , 1.5 , 2.0 , 4.0 |
20 *, 25 *, 30 , 33 , 40 , 50 , 60 , 75 , |
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20 |
40 |
1.02 |
1.0 , 1.5 |
100 cm (* only for 1,0 and 2,0 l / h ) |
Diameter |
Wall |
Flow Rate |
Standard Dripper Spacing |
|
( mm ) |
( mil ) |
( mm ) |
( l / h ) |
cm |