Estimation of water distribution uniformity coefficient in sprinkler irrigation using Genetic Algorithm;.
2014
Sohrabi, Borhan | Hezarjeribi, Abootaleb | Agoshide, Gholamreza | Farzadmanesh, Somayeh
Knowing how operate sprinkler in various conditions such as pressure and Rizer 's length have important role in the planning and management of a farm irrigation. In this study, two types of sprinklers AQ20 and KA-6 were evaluated using a new technique called as Genetic Algorithm. The following equation is introduced due to the high correlation coefficient (R2), low standard deviation of the measured- estimated ratio from Genetic Algorithm calculations and NASH (Nash–Sutcliffe coefficient) as the ultimate model for sprinkler uniformity coefficient: Cu= 67.417 -3.453Sm0.696 + 131.781 (P-0.001RH 0.024 SL-0.560) Cu= -0.669 + 5.285P-14.349 + 0.683RH0.507 + 192.855 ( SL-0.244 Sm-0.138) The most CU of AQ20 were obtained in a rectangular arrangement and 20m pressure and KA-6 at 30m pressure. The lowest CU occurred in a triangular arrangement and working pressure 2.5 and two atmospheres (1/72 per cent), respectively. At The all pressures, the average CU of square and rectangular layout was achieved over 80%. Keywords:Sprinklers assessment, genetic algorithms, classical system, the uniformity of water distribution
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