T. Honar; A. Sabet Sarvestani; A.A. Kamgar Haghighi; Sh. Shams
Abstract
Abstract
The propose of this study was evaluation of CropSyst Model on growth simulation and yield stimation of canola under different irrigation treatments. Canola (Talaye) was sown under 5 treatment and 4 replicants in completed randomized block designs at the college of Agriculture, Shiraz Universityduring ...
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Abstract
The propose of this study was evaluation of CropSyst Model on growth simulation and yield stimation of canola under different irrigation treatments. Canola (Talaye) was sown under 5 treatment and 4 replicants in completed randomized block designs at the college of Agriculture, Shiraz Universityduring 2007-2008. During the growth season dry mass and LAI was meseaured frequently, then model was calibrated by the resukts. Obtained results showed very good esyimation by the simulation model, as the correlation coefficient square between dry mass and LAI in defferent treatments were more than 0.99 and 0.95, respectively. Also correlation coeficient between meseaured and simulated crop yeild was 0.96, that shows the accuracy of model in simulation on crop parameter. Also the model was valuated by independent data. Obtained results showed the accuracy of model simulation in dry matter as the correlation cofficient was achieved 0.9. Also LAI simulation in all treatments had good reults, as generaly is reliable in canola investigations.
Keywords: Simiulatinng models, Alfalfa, Leaf area index
T. Honar; S. Pourhamzeh
Abstract
Abstract
Many studies have been conducted on the characteristics of hydraulic jump over gradually expanding cross sections, but comparatively few have been carried out on basins with convergent wall. In the present research, the hydraulic jump characteristic of the stilling basin with convergent wall ...
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Abstract
Many studies have been conducted on the characteristics of hydraulic jump over gradually expanding cross sections, but comparatively few have been carried out on basins with convergent wall. In the present research, the hydraulic jump characteristic of the stilling basin with convergent wall has been investigated. The main objective of this research is evaluation of conjugate depths ratio, jump length and evaluation of hydraulic jump energy loss. According to the charts and results of this study, which are based on measured data, conjugate depth ratio decreases 56 % compared with the vertical case. Also, convergence of the walls along is decreased by 51% of the jump length compared with the classic jump.
Keywords: Hydraulic jump, Convergent wall, Hydraulic jump length
M.K. Shabani; T. Honar
Abstract
Abstract
Due to limitation of available water and soil resources in Iran, the challenge of optimizing the utilization of these resources has become more significant. In this study it was attempted to maximize the project benefit, estimating crop water requirements at different growth stages, and optimizing ...
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Abstract
Due to limitation of available water and soil resources in Iran, the challenge of optimizing the utilization of these resources has become more significant. In this study it was attempted to maximize the project benefit, estimating crop water requirements at different growth stages, and optimizing the cropping pattern and irrigation management. In order to achieve these objectives mathematical model was solved with simple genetic algorithm (GA) and linear programming (LP) methods. The proposed model was applied to an irrigation project with 7000 ha of farmland irrigated by the main canal network of Doroodzan dam (Fars province). Comparing the optimal cropping pattern proposed by this model (IPM) with those practiced by the farmers showed that the model had a good consistency with farmers’ decisions for cultivating different crops. The results of this model also indicated that optimal planting pattern (in the 1st and 2nd growing season) was the same for GA and LP models. To find the best response from GA in this study the number of generations of 800, population size of 100, probability of crossover of 0.6, and probability of mutation of 0.02 was considered.
Key words: Genetic algorithm, linear programming, Cropping pattern, Optimizing, Fars province, Irrigation planning model (IPM)
