Hossin Badibarzin; Mhamood Hashemi tabar; S.Mehdi Hossini
Abstract
Since agricultural sector is the largest consumer of water, it is crucial to introduce effective policies to manage water resources in this sector. In the present study, the economic analysis of allocation and pricing of irrigation water on cropping pattern and water demand management in Sistan plain ...
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Since agricultural sector is the largest consumer of water, it is crucial to introduce effective policies to manage water resources in this sector. In the present study, the economic analysis of allocation and pricing of irrigation water on cropping pattern and water demand management in Sistan plain was investigated by use of a positive mathematical programming model (PMP). In this regard, an economic modeling system including a state wide agricultural production model (SWAP) was used. The GAMS software version 24.1 was used to solve the proposed modeling system. The results showed that the use of pricing and allocation policies for irrigation water led to a decrease in the total area of designated cropping products and a reduction in the farm gross margins in Sistan plain. However, the aforementioned policies resulted in savings of 4.594 to 46.256 and 7.123 to 29.484 million cubic meters of water consumed in the region as a result of applying allocation and pricing, respectively. Decrease in total area of cultivation of selected crops under different scenarios of irrigation water quotas policy, especially higher economical crops such as watermelon, melon, and onion. Total gross yield of Sistani farmers would be reduced from 1425694 to 1292677 million Rials, reducing the gross profit by 2.17% to 9.33% in the region's agricultural pattern. Thus, applying the policy of water allocation could save about 30 million cubic meters of water available to farmers. Compared to pricing policy, the use of water allocation policy is recommended due to its superior effect on preserving water resources in the Sistan plain.
mokhtar Salehi Tabas; Mostafa Yaghoubzadeh; Reza Hashemi; Hamed Mansori; Saeed ghavamsaeedi
Abstract
Moisture content of surface soil is an important variable in nature's water cycle, which plays an important role in the global equilibrium of water and energy due to its impact on hydrological, ecological, and meteorological processes. Soil moisture is a determining factor in many complex environmental ...
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Moisture content of surface soil is an important variable in nature's water cycle, which plays an important role in the global equilibrium of water and energy due to its impact on hydrological, ecological, and meteorological processes. Soil moisture is a determining factor in many complex environmental processes and plays a determinative role in the occurrence of agricultural drought. In this study, based on estimated soil moisture data by SWAP model and data of the IPCC Fifth Assessment Report, agricultural drought was determined by the use of soil moisture deficit index for the future period. The climatic data was estimated using six GCM models and two RCP4.5 and RCP8.5 emissions scenarios, and downscaled by LARS-WG model, and was entered into the SWAP model. Finally, by using soil moisture data of 30 cm depth, agricultural drought was evaluated using SMDI index. The results of climate parameter changes showed that the minimum and maximum temperatures and rainfall in the future period would increase compared to the base period and RCP8.5 scenario estimated higher temperatures and less rainfall than RCP4.5 scenario. Results of estimated SMDI values for the future period showed that RCP4.5 scenario has a higher average of SMDI amount than RCP8.5 scenario. Also, both scenarios show the normal moisture amount for future period and the predicted SMDI amount for the future period is higher than the base period.
m y; Mohsen Ahmadee; s b; a h
Abstract
Climate change has important impacts on most of the natural processes, including hydrological cycle. Evapotranspiration, as a part of hydrological cycle, will also undergo these changes. Due to the importance of evapotranspiration in water resources and agricultural management, this research was ...
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Climate change has important impacts on most of the natural processes, including hydrological cycle. Evapotranspiration, as a part of hydrological cycle, will also undergo these changes. Due to the importance of evapotranspiration in water resources and agricultural management, this research was conducted to study climate change effect on evapotranspiration in Neyshabour plain. Evapotranspiration was calculated for five farms in Neyshabour plain using SWAP software and meteorological and agronomic data. In irrigated farms, the HADCM3, ECHAM5OM and CGCM3T47models were used to calculate crop actual evapotranspiration for 2020-2039 and 2080-2099 periods based on A2, B1 and A1B scenarios and the climate model used in rainfed farms was the HADCM3 based on A2 and B1 scenarios. The greatest calculated difference in evapotranspiration was found between the period 2080-2099 and base period (1992-2011) in the A2 scenario. Also, evapotranspiration values for the period 2080-2099 will increase compared to the period 2020-2039 in all three scenarios. Among the crops of investigate, wheat will have the greatest changes (12%) in evapotranspiration in the future periods compared to the base period, while changes of maize will be only 3%. However, the average daily evapotranspiration of maize during the growing season (about 12 mm/day) will be more than the other crops.
Mahboubeh Aghajani; Maryam Navabian; Majid Vazifehdost; Mojtaba Rezaee
Abstract
In recent years, discharge of Sefidroud River, which is the main source of agricultural water in Guilan province, has been decreasing because of construction of several dams in the upstream of Sefidroud basin. The future of rice production will depend on appropriate management strategy for optimization ...
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In recent years, discharge of Sefidroud River, which is the main source of agricultural water in Guilan province, has been decreasing because of construction of several dams in the upstream of Sefidroud basin. The future of rice production will depend on appropriate management strategy for optimization of water consumption in the paddy fields. In this research, to maximize water productivity in paddy fields, two optimal models were selected for irrigation management as fixed interval irrigation in the entire growing season and variable interval irrigation in different physiological growth stages of Hashemi variety, using SWAP model and Genetic Algorithm (GA). After validation of SWAP model, the chosen values were optimized by GA. In the optimal models, irrigation water depths and rice irrigation intervals were selected as the decision variables in different crop growth stages. Periodic irrigation management with fixed interval i.e. 7.33 days during the growing season, showed the maximum efficiency of irrigation water. However, the optimal variable intervals were 6.53, 4.60, 4.31 and 7.74 days during establishment, tillering stage, maturity, and harvest respectively. Finally, for saving of water, improvement of irrigation water productivity, reduction of evapotranspiration, proper irrigation interval in Sefidroud irrigation network, and ease of measurement of inflow water volume, a fixed irrigation interval of 8 days and irrigation depth of 52, 30, 40 and 12 mm in, respectively, establishment stage, tillering, maturity, and harvest stages was recommended. The highest water productivity obtained was 1.59 kg/ m3.