Document Type : Research Paper

Authors

1 Associate Prof., Departman of Water Engineering, Faculty of Agriculture, Zanjan University, Zanjan, Iran

2 Member of Younger Researcher and Elite Club, Urmia Branch, Islamic Azad University, Urmia, Iran

3 Associate Professor, Dep. of Water Engineering, Faculty of Agriculture, Urmia University, Umia, Iran

Abstract

Temperature is one of the major parameters of plant growth and influences the amount of water requirement.Therefore, in this paper, the future temperature trend in the Abhar area was studied under the influence of climate change during the future time periods and compared with the observation period. In this way, the observation period of 1986-2010, the horizon near 2045-2011, the middle horizon of 2046-2070, and the far horizon of 2080-2100 was considered. The LARS-WG software was used in order to downscale, scenario file generation and general circulation atmospheric model simulation. In order to simulate the climate was used, the HadCM3 model by A2 scenario. In generating a scenario file, the numbers of both series (GCM PREDICTIONS and LARS-WG PARAMETERS) were considered, and the scenario file was generated for each of the three horizons future near, middle and far. The results of this study show the increasing trend of minimum, average and maximum temperature parameters over the next horizons. The amounts of the increase of the parameters studied during the mentioned horizons, respectively, in the parameter of the minimum annual temperature of 0.63,1.64 and 3.34°C, the mean annual temperature was 0.26, 0.72 and 1.46 °C and maximum temperature parameter will be 0.32, 0.55 and 0.81°C.

Keywords

Main Subjects

Amini Rokan A.  Khalili P. and Behmanesh J. (2015). Evaluation of genetic programing performance in modeling the average monthly temperature of climatic samples in Iran. Agri. Meteorol. J., 3(1), 13- 24 [In Persian]. 
 
Asad Falsafizadeh N. and Sabouhi Sabouni M. (2013). Investigation of climate change phenomenon on agricultural production. J. Agri. Econom. Develop., 26(4), 272-286 [In Persian]. 
 
Azizi Q. and Yarahmadi D. (2002). Investigating the relationship between climatic parameters and dryland wheat performance using regression model (Case study of Silakhor Plain). Geogr. Res., 35(44), 23-44 [In Persian]. 
 
Hosseini S. T., Khosh Ravesh M. and Ziatabar Ahmadi M. (2015). Investigating the effect of climate change and assessment of planting date change on soybean yield. J. Water Res. Agri., 29(4), 574-560 [In Persian]. 
 
Houghton J. (Eds.). (2001). Climate Change: The Scientific Basis (Published for the Intergovernmental Panel on Climate Change). Cambridge University Press, Cambridge, United Kingdom and New York, USA. 
IPPC. (2007). Climate Change: The physical science basis. Contribution of working group I to fourth Assessment report of the intergovernmental panel on climate change. Cambridge university press, Cambridge, 1:18. 
 
IPCC. (1999). Aviation and global atmosphere. Penner J. E., Lister D. H., Griggs D. J., Dokken D. J. and McFarland M. (Eds.). Cambridge University Press. U.K. 
 
Khalili A. (2000). Investigating the climate change effects on water resources of the country. Report of the JAMAB Country, Synthesis Report. Meteorological Season, Ministry of Energy [In Persian]. 
 
Kohestani S. H., Eslamiyan S. S. and Basalatpour A. (2017). The effect of climate change on the temperature of the Zayandeh Rood basin using Bayesian Machine Learning Soft Computation. J. Water Soil Sci. (Sci. Technol. Agri. Natur. Resour.), 21(1), 203216 [In Persian]. 
 
Masood M. P., Yeh J. F., Hanasaki N. and Takeuch K. (2015). Model study of the impacts of future climate change on the hydrology of Ganges–Brahmaputra– Meghna basin, Hydrol. Earth Syst. Sci., 19, 747–770. 
 
Moameni S. and Zibae M. (2013). Potential impacts of climate change on agriculture in Fars province. J. Econom. Agri. Develop., 3, 169-179 [In Persian]. 
 
Noel R., Justin S., James E., Haibin L. and Eric F.W. (2015). Evaluation of historical and future simulations of precipitation and temperature in central Africa from CMIP5 climate models. J. Geophys. Res. Atm., 121(1), 130-152. 
 
Semenov M. and Stratonovich P. (2010). Use of multimodel ensembles from global climate models for assessment of climate change impact, Climate Res., 41(1), 1-14. 
 
Taj Abadi S. H., Ghahreman B. and Ziaie A. (2017). The time down scaling of air temperature using fractal and periodic regression of two dry and semi-arid climates. J. Agri. Meteorol., 4(1), 44-54 [In Persian]. 
 
Wilby R. L. and Dettinger M. D. (2000). Streamflow changes in Sierra Nevada, Clifornia, simulated using a statistically downscaled general circulation model scenario of climate change.  Kluwer Academic Publishers, Netherlands, pp. 120. 
 
Xu C. (1999). From GCMs to river flow: A review of downscaling methods and hydrologic modeling approaches. Progress Phys. Geogr., 23(2), 229-249. 
 
Zhong L., Guohe H., Xiuquan W., Jingcheng H. and Yurui F. (2016). Impacts of future climate change on river discharge based on hydrological inference: A case study of the Grand River Watershed in Ontario, Canada. Sci. Total Environ., 548–549, 198–210.