آمار

تعداد نشریات22
تعداد شماره‌ها323
تعداد مقالات3,394
تعداد مشاهده مقاله3,872,389
تعداد دریافت فایل اصل مقاله2,746,812
Amirabadizadeh, Mahdi, Puyafar, Mohammad, Yaghoobzadeh, Mostafa. (1402). Climatic Zoning of South Khorasan Province in the Future Using General Circulation Models. , 6(2), 157-171. doi: 10.22077/jwhr.2023.6872.1112
Mahdi Amirabadizadeh; Mohammad Puyafar; Mostafa Yaghoobzadeh. "Climatic Zoning of South Khorasan Province in the Future Using General Circulation Models". , 6, 2, 1402, 157-171. doi: 10.22077/jwhr.2023.6872.1112
Amirabadizadeh, Mahdi, Puyafar, Mohammad, Yaghoobzadeh, Mostafa. (1402). 'Climatic Zoning of South Khorasan Province in the Future Using General Circulation Models', , 6(2), pp. 157-171. doi: 10.22077/jwhr.2023.6872.1112
Amirabadizadeh, Mahdi, Puyafar, Mohammad, Yaghoobzadeh, Mostafa. Climatic Zoning of South Khorasan Province in the Future Using General Circulation Models. , 1402; 6(2): 157-171. doi: 10.22077/jwhr.2023.6872.1112

Climatic Zoning of South Khorasan Province in the Future Using General Circulation Models

Water Harvesting Research
دوره 6، شماره 2، آذر 2023، صفحه 157-171    اصل مقاله (1.37 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22077/jwhr.2023.6872.1112
نویسندگان
Mahdi Amirabadizadeh* 1؛ Mohammad Puyafar2؛ Mostafa Yaghoobzadeh3
1Assistant Professor, Department of Water Engineering, University of Birjand, Birjand, Iran & Research Group of Drought and Climate Change, University of Birjand, Birjand, Iran.
2MSc in Water Resources, Department of Water Engineering, University of Birjand, Birjand, Iran.
3Associate Professor, Department of Water Engineering, University of Birjand, Birjand, Iran & Research Group of Drought and Climate Change, University of Birjand, Birjand, Iran.
چکیده
Climate is a complex system that is affected by changes in climatic parameters. By predicting and examining the range of changes in meteorological parameters in the future, it is possible to adopt appropriate solutions to reduce the harmful effects of climate change. Using atmospheric general circulation models is the most reliable method. In this study, precipitation, maximum and minimum temperatures of five synoptic stations of Birjand, Qaen, Nehbandan, Ferdows and Tabas, for the base period of 1988 to 2005 as well as the outputs of six climate models of CanESM2, GFDL-CM3, CSIRO-MK3, MPI-ESM - LR, MIROC-ESM and GISS-ES-R, were collected under RCP8.5 and RCP4.5 emission scenarios for a 16-year period (2020-2035) and downscaled using the LARS-WG5.0 model. Then, using the RMSE and MAE statistical indices, the quality of the down-scale representation was evaluated. Afterwards, by calculating the climate classification indices of De Martonne and Amberger, the province was classified with the help of GIS software. De Martonne classification indicates that the climate of the province will not change in the near future compared to the base period while based on the classification of Amberger and under all six models and both scenarios, Birjand, Qaen and Ferdows cities are predicted to have temperate climate and Tabas city is expected have a hot and mild desert climate. For Nehbandan city, the GFDL-CM3, CSIRO-MK3 and GISS-ES-R models of the fifth report under the RCP4.5 scenario predicted a moderate climate and the rest of the large-scale models predicted a moderate desert climate.
کلیدواژه‌ها
Amberger؛ Climate change؛ De Martonne؛ Downscaling؛ South Khorasan Province
مراجع

Abassi, F., Malbusi, S., Babaeian, I., Asmari, M., & Borhani, R. (2010). Climate change prediction of south Khorasan Province During 2010-2039 by using statistical Downscaling of ECHO-G Data. Water and Soil, 24(2).

Allahverdipour, P., Ghorbani, M. A., & Asadi, E. (2023). Evaluating the effects of climate change on the climatic classification in Iran. Water and Soil Management and Modelling, (in press), -. doi: 10.22098/mmws.2023.12755.1271

Babaian, I., Najafinik, Z., Zabol Abbasi, F., Habibi Nokhandan, M., Adab, H., & Malboosi, S. (2009). Assessing the country's climate change in the period of 2010-2039 using the exponential downscale data of ECHOG atmospheric general circulation model. Journal of Geography and Development, 7(16), 152-135.

Bandari Khalafabadi, V., Shakiba, A., & Azimi, F. (2012). Prediction of precipitation regime and temperature in Khuzestan with atmospheric general circulation models. Journal of Natural Geography, 6(19), 59-70.

Delghandi, M. (2011). Investigating the impact of climate change on wheat production and providing solutions to adapt to it by considering the uncertainty of AOGCM models and greenhouse gas emission scenarios in order to increase food security (case study: Khuzestan plain). PhD thesis on irrigation and drainage, University of Shahid Chamran Ahvaz.

FAO, (2007). Adaptation to climate change in agriculture, forestry and fisheries: Perspective, framework and priorities. Interdepartmental Working Group on Climate Change. Rome. Available on: http://www.fao.org

Hamed, M. M., Nashwan, M. S., Shahid, S., Wang, X. J., Ismail, T. B., Dewan, A., & Asaduzzaman, M. (2023). Future Köppen-Geiger climate zones over Southeast Asia using CMIP6 Multimodel Ensemble. Atmospheric Research, 283, 106560.

Khosravi, M. & Aramesh, M. (2011). Climatic zoning of Central province using factor-cluster analysis. Journal of Geography and Environmental Planning, 23(2), 87-100.

Kilsby, C.G., Jones, P.D., Burton, A., Ford, A.C., Fowler, H. J., Harpham, C., & Wilby, R. L. (2007). A daily weather generator for use in climate change studies. Environmental Modelling & Software, 22(12), 1705-1719.

Mohammadlu M., & Tahmasbipour, N. (2017). Assessment of the effects of climate change on climate classifications in parts of northwestern Iran. Rainwater catchment systems. 5 (4), 35-46.

Peel, M. C., Finlayson, B. L., & McMahon, T. A. (2007). Updated world map of the Köppen-Geiger climate classification. Hydrology and earth system sciences, 11(5), 1633-1644.

Rahimi, J., Laux, P., & Khalili, A. (2020). Assessment of climate change over Iran: CMIP5 results and their presentation in terms of Köppen–Geiger climate zones. Theoretical and Applied Climatology, 141, 183-199.

Semenov, M. A., & Barrow, E.M. (1997). Use of a stochastic weather generator in the development of climate change scenarios. Climatic change, 35(4), 397-414.

Soltani, A., & Hoogenboom, G. (2003). Minimum data requirements for parameter estimation of stochastic weather generators. Climate Research, 25(2), 109-119.

Taghavi, F., Naseri, M., Bayat, B., Metolian, S. S., & Azadi Fard, D. (2013). Determination of climate behavior patterns in different regions of Iran based on spectral analysis and clustering of extreme values of precipitation and temperature. Natural Geography Research, 77 (43), 109-124.

Taseh, M. & Barimani, F. & Ismail Nejad, M., (2017). Climatic zoning of Sistan and Baluchistan province. Journal of Geography and Development, 6(12), 101-116

Zarenistanak, M., Dhorde, A.G., & Kripalani, R.H. (2014). Temperature analysis over southwest Iran: trends and projections. Theoretical and applied climatology, 116(1-2), 103-117.

آمار
تعداد مشاهده مقاله: 218
تعداد دریافت فایل اصل مقاله: 253


نماد الکترونیک 

 

سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب