mahdi fallah; Mohammad Shayannejad; Mohammad Hassan Rahimian
Abstract
Pistachio is the most important export product of Iranian agricultural sector. This product is very important because of valuation, job creation, value added as well as tolerance to salinity and drought. The purpose of this study was to investigate and analyze the evapotranspiration of pistachio (ETc ...
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Pistachio is the most important export product of Iranian agricultural sector. This product is very important because of valuation, job creation, value added as well as tolerance to salinity and drought. The purpose of this study was to investigate and analyze the evapotranspiration of pistachio (ETc and ETa), gross water requirement (IWR), and depth or volume of water used in pistachios (AW) in several selected gardens in Bahadoran region of Yazd province. The study area is one of the pistachio growing centers in Yazd province. The results show that the total annual irrigation water depth in the selected orchards varies from 823 to 1600 mm (equal to 0.27 to 0.57 L/s/ha). However, due to the salinity of irrigation water and to overcome the problems of accumulation of salts in the soil, the hydromodule necessary to supply the water needed for pistachios varies from 0.6 to more than 1 L/s/ha. According to the critical condition of the water resources in the plain, it is virtually impossible to provide it. Also, by using Surface Energy Balance Algorithm, the actual evapotranspiration of pistachios during the growing season was 556 mm for the whole study area and 672 mm for the selected orchards. Regarding the comparisons between pistachio water demand, actual evapotranspiration, and volume of water used in the selected orchards, a managed deficit irrigation strategy can be recommended for the study area. Optimization of traditional irrigation systems, changes in water utilization system with the aim of reducing irrigation interval, considering the spatial variations of pistachio water requirement in the region, off-season leaching, and implementation of proper management at the orchard level are among the solutions that can be useful in overcoming the salinity and water shortage problems and prevent product loss.
Ali Javadi; b m; m sh; m m
Abstract
In order to design or evaluate an irrigation system, the infiltration phenomenon and its variations should be determined accurately. In saline and sodic soil and water conditions, the importance of this issue will become greater. The main objective of this study was to estimate the coefficients of different ...
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In order to design or evaluate an irrigation system, the infiltration phenomenon and its variations should be determined accurately. In saline and sodic soil and water conditions, the importance of this issue will become greater. The main objective of this study was to estimate the coefficients of different infiltration equations (Kostiakov, Kostiakov-Lewis, Horton, Philip, and U. S. Soil Conservation) and to evaluate the performance of these equations under different qualities of irrigation water, initial soil moistures, and constant water head. Using a laboratory method, infiltrations were measured in soil columns for constant water head. Then, by applying the cumulative infiltration and drainage outflow data to HYDRUS-1D model, soil hydraulic parameters were determined by the inverse solution. To determine the coefficients of infiltration equations, the outputs of the HYDRUS-1D model including cumulative infiltration verses time were corrolated. The values of root mean square error (RMSE), standard deviation root mean square error (SDRMSE), normalized root mean square error (NRMSE), percent relative absolute error (AE) and percent relative error (RE), were used to evaluate the performance of each infiltration equation and to rank the equations. The equation that had the highest rank was considered as the best and more stable equation. The Horton equation with RMSE, SDRMSE, NRMSE and AE of 0.043, 0.018, 0.006 and 1 and the Kostiakov equation with the values of 0.234, 0.175, 0.025 and 4, were the most and the least suitable eqations, respectively. The evaluation of the performance of infiltration equations using statistical indicators showed that the Kostiakov-Lewis and the Kostiakov infiltration equations were the best and the worst equations, respectively. Comparison of NRMSE values showed that in most cases, under deficit irrigation, infiltration equations estimate infiltration more accurately. For a given treatment, the errors of Kostiakov-Lewis and Philip infiltration equations increased as the amount of irrigation water increased, and as the end of the season approached. The rest of the equations did not show any especial trends. To measure infiltration, it is necessary to consider the effects of irrigation water quality, initial soil moisture, and water heads, because these parameters influence the coefficients of infiltration equations and, consequently, the irrigation efficiency.