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Mehdi Akbari; Fariborz Abbasi; Abolazal Nasseri; Mohammad Ali Shahrokhnia; Mohammad Khorramian; Masoud Farzamnia; majid keramati targhi; Azarakhs Azizi; Mohamad Abasi; Eshag Zare; Hasan Khosravi; Esmaeil Moghbeli; Mohammad Mehdi Nakhjavanimoghaddam; Nader Abbasi; Javad Baghani
Abstract
This project was implemented with the aim of measuring water applied to onion under farmers’ management in 190 selected sites at the production hubs of onion in Iran including Azarbaijan Sharghi, Isfahan, Khusestan, Zanjan, Kerman, Fars, Khorasan Razavi, Khorasan Shomali, and Hormozgan provinces. ...
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This project was implemented with the aim of measuring water applied to onion under farmers’ management in 190 selected sites at the production hubs of onion in Iran including Azarbaijan Sharghi, Isfahan, Khusestan, Zanjan, Kerman, Fars, Khorasan Razavi, Khorasan Shomali, and Hormozgan provinces. According to the results, differences between the average volumes of irrigation water in those provinces, different irrigation methods, various sources and salinities of irrigation water and soil, and different onion varieties were significant (p<1%), during the growing season of 2020-2021. The average amount of applied water by farmers in those provinces was 9502, 13273, 9740, 16588, 9618, 13880, 11998, 8438 and 7057 m3/ha, respectively, with the weighted average of 10823 m3/ha. The onion yield in selected sites, varied from 20000 to 90000 kg/ha, with an average of 49980 kg/ha. The measured values were compared with the net irrigation water requirement estimated by the FAO Penman-Monteith method and with the National Water Document values. The results showed that the differences between average volumes of applied water by farmers, yield and irrigation water productivity, and irrigation water plus effective rainfall productivity in the selected sites were significant at 5% probability level. Irrigation water productivity varied from 3.13 to 6.30 kg/m3 and its average was 4.93 kg/m3. The average irrigation water plus effective rainfall productivity for onion in Iran was 4.50 kg/m3. The average net irrigation water requirement in the study areas by the Penman-Monteith method and the National Water Document were 8834 and 6972 m3/ha, respectively. These results showed that the average applied water in surface, sprinkler, and drip irrigation methods were 11453, 12740 and 10317 m3/ha, respectively, with significant (p<5%) difference. These results showed that in drip irrigation method, applied water was 10% lesser while irrigation water plus effective rainfall productivity was 35% higher. Transplanting seedling compared to direct seeding caused 14.7% reduction in applied water and 16.7% increase in water productivity. According to the results of this study, drip irrigation and transplanting method for onion fields is recommended.
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Javad Baghani; Hormoz Asadi
Abstract
The present research was conducted in 2017 with the aim of investigating the possibility of using solar energy (photovoltaic systems) compared to energy from national network of electricity in three irrigation systems of Tape, Center pivot, and Fixed classical sprinkler irrigation in Alborz province. ...
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The present research was conducted in 2017 with the aim of investigating the possibility of using solar energy (photovoltaic systems) compared to energy from national network of electricity in three irrigation systems of Tape, Center pivot, and Fixed classical sprinkler irrigation in Alborz province. At first, 2 dominant crops in the region (wheat and maize) were identified and the water requirement of these crops was determined under Karaj conditions. Then, the energy needed to supply the necessary power in each of the irrigation systems using the electricity network and solar power was determined. Afterwards, the number of solar panels needed to supply this amount of energy and the initial cost for the construction of the solar system was examined, as well as the costs of using the electricity network. Then, by evaluating the crops yield performance in the region and its economic value, the profitability of the products was determined in the region. The t-test was used to determine the difference between the mean cost and revenue or profit of the systems statistically. According to the economic results in the analysis period, in network electricity with irrigation systems of Fixed classical sprinkler, Center pivot, and Tape irrigation, net present value was estimated as 753.7, 770.3, and 1212.2 Iraniak million Rials, and benefit cost ratio in these systems was estimated at 1.64, 1.67 and 2.1. In solar system with irrigation systems of Fixed classical sprinkler, Center pivot, and Tape irrigation, net present value was estimated as 322.6 , 713, and 988.8 Iraniak million Rials, and benefit cost ratio in these systems was estimated at 1.2, 1.59, and 1.73. Therefore, based on profitability indices, national power network with drip irrigation system treatment is recommended as the better treatment.
Mina Taheri; Vahid Rezaverdinejad; Javad Behmanesh; Fariborz Abbasi; Javad Baghani
Abstract
Water resource deficiency and the necessity of sustainable production in irrigated lands have attracted much attention to water productivity issues. In this regard, analysis, estimation, and preparation of water productivity map are necessary as an influential factor to recognize cultivation potential ...
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Water resource deficiency and the necessity of sustainable production in irrigated lands have attracted much attention to water productivity issues. In this regard, analysis, estimation, and preparation of water productivity map are necessary as an influential factor to recognize cultivation potential in irrigated lands. The aim of this study was to select a proper interpolation method for water productivity and investigate spatial changes in water productivity in Iranian wheat production centers. In this research, 241 field data were used, of which range of water productivity (irrigation water + effective precipitation) was estimated between 0.3 to 2.58 kg.m-3 with the average of 0.79 kg m-3, in 2016-2017 season. Interpolation methods used included Ordinary Kriging, Inverse Distance Method (IDW), and Radial Basis Function (RBF). Cross Validation technic was applied to evaluate methods by statistical measures such as Root Mean Square Error (RMSE), Mean Bias Error (MBE), and Mean Absolute Relative Error (MARE). Interpolation methods evaluation showed that between available procedures, typical Kriging method with exponential semi-variogram model had the most proper condition to prepare wheat water productivity zoning map. The results of the spatial analysis of water productivity confirmed that geostatistics could be used with acceptable accuracy (MBE=0.005) to provide water productivity mapping. Results of Cluster analysis of the effective factors (salinity of irrigation water, soil salinity, and crop cultivar) on wheat water productivity index showed that the areas suitable for wheat cultivation were separated into 13 independent groups (at the 5 percent level), such that the highest and lowest mean water productivity of wheat were observed in group 5 (Mean = 0.84 kg.m-3) and group 10 (Mean = 0.41 kg.m-3), respectively.