List of Articles LARS-WG model

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  1 - Simulation of the Effect of Climate Change on Yield and Water Use Efficiency of Potato (Solanum Tuberosum L.) in Ardabil
  Atousa Shafaroodi Abdolghayom Gholipouri Broumand Salahi
  10.30495/jest.2021.49801.4934
  Background and Objective: Climate change causes changes in rainfall patterns, temperatures and their amount, and these changes can affect plant performance. In this study, the efficiency of DSSAT model in simulating tuber yield and water use efficiency of potato plant u More

  Background and Objective: Climate change causes changes in rainfall patterns, temperatures and their amount, and these changes can affect plant performance. In this study, the efficiency of DSSAT model in simulating tuber yield and water use efficiency of potato plant under future climate change in different irrigation treatments and cultivar as an adaptation strategy was investigated.Material and Methodology: For this purpose, the precipitation data, minimum and maximum temperatures were produced using the LARS-WG5 statistical exponential micro-scale model (Long Ashton Research Station-Weather Generator) under the HadCM3 general circulation model. The A1B scenario was applied to future periods of 2011-‎‎2040, 2041-2070, 2071-2100 and the basic period 1988-2016. DSSAT model and SUBSTOR-Potato model were used to simulate potato growth and yield. Prior to use, field data collected from Ardebil, Iran that were calibrated and validated. Then the values of tuber yield and water use efficiency were simulated in future periods. Three irrigation treatments were used such as full irrigation (FI), 15% less than control (LI1) and 30% less than control treatment (LI2), with five potato cultivars Agria (the conventional cultivation of the area), Caeser, Savalan, clones 397081-1, and 397082-10 with 3 replications.Finding: According to the results, under the A1B scenario at the irrigation levels of FI and LI1, simulated values of tuber yield and water use efficiency showed the highest values for 2040 and 2070 compared to the basal period. It was also simulated by selecting Savalan cultivars, 397081-1, and 397082-10 the highest increase for tuber yield and water use efficiency values for 2040 and 2070 periods.Discussion and Conclusion: In following, The Less reduction in percentage of yield allowed the low irrigation (LI1) to replace the full irrigation (FI) treatment in future periods compared to the baseline period. Because of the importance of conserving and saving water resources in future climate ‎change periods, irrigation of 15% less than full irrigation is recommended for irrigation of potato ‎fields. The results of the simulation of water use efficiency can also emphasize the use of irrigation treatment 15% less than the control. Manuscript profile
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  2 - The chaotic nature of monthly rainfall in the Tabriz under climate change
  Rasoul Jani Mohammad Ali Ghorbani Abolfazle Shamsai
  Population increase, changes in land usage and industrial activities' development have caused climate changes indifferent regions of the Earth. So studying these effects on rainfall process which is one of the most importantcomponents of water engineering studies. To co More

  Population increase, changes in land usage and industrial activities' development have caused climate changes indifferent regions of the Earth. So studying these effects on rainfall process which is one of the most importantcomponents of water engineering studies. To considering ,extraordinary capabilities in chaos theory formodeling nonlinear and complex hydrological phenomena such as rainfall. In this study, monthly precipitation ofTabriz in the historical condition and climate change condition has been studied with this theory. For estimatelag time and phase state is using autocorrelation function and for chaos dimension applying correlationdimension method. Thus, the statistical period 1971-2000 as a historical period is chosen and the results of theLARS-WG model under two scenarios are (B1) and (A2) in three periods (2011-2030, 2046-2065 and 2080-2099) as future periods. Results show historical period data with the fractal dimension of 5/96 which has a goodchaotic nature. In scenario A2, three series of data, has chaotic nature and their fractal dimension is lower ofhistorical data while in scenario B1, The three periods have stochastic behavior. Manuscript profile
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  3 - Investigation of Rainfall and Air Temperature Changes Under Different Scenarios of Climate Change (Case study: Shahrekord)
  Zohre Izadi Ali Heidar Nasrollahi Bizhan Haghighati Borujeni
  In this research outputs of the general circulation model HadCM3 under the three climatic change scenarios A1, B1 and A1B are downscaled using LARS-WG model in Shahrekord synoptic weather station and the results were evaluated for the base period (1971-1995) and the fut More

  In this research outputs of the general circulation model HadCM3 under the three climatic change scenarios A1, B1 and A1B are downscaled using LARS-WG model in Shahrekord synoptic weather station and the results were evaluated for the base period (1971-1995) and the future periods 2011-2030 and 2046-2065 for weather parameters of temperature and precipitation. The results of prediction of the model in future periods indicate that the maximum and minimum temperatures increase for all months and scenarios in the study area compared to the base period. Accordingly, the maximum increase in maximum and minimum monthly temperatures was 3.62 and 3.55 °C, respectively, which was observed under the A1B scenario during 2046-2065. Although, the results of the model for the precipitation were very fluctuating and no specific order was observed. However, rainfall decreased in the vegetative seasons of the plants, especially in spring and April and May. Manuscript profile