پیش‌بینی تغییرات پارامترهای بارش، دما و تابش تحت سناریوهای اقلیمی مناطق کوهستانی مرتفع البرز میانی

نوع مقاله : مقاله پژوهشی

نویسندگان
1 ندارم
2 دانشگاه علوم کشاورزی و منابع طبیعی گرگان
3 مرکز تحقیقات کشاورزی و منابع طبیعی ساری
10.22034/wmji.2024.2026652.1063
چکیده
تغییر اقلیم، از بزرگ‌ترین چالش‌هایی است که بشر در قرن بیست‌ویک با آن مواجه بوده است چراکه می‌تواند اثرات شدیدی بر منابع آب، کشاورزی، انرژی و حتی زیست اقلیم انسان داشته باشد. هدف از این مطالعه بررسی تغییرات پارامترهای اقلیمی در چهار سایت پلور، رینه، کنگرچال و پشتکوه استان مازندران با استفاده از مدل‌های گردش عمومی جو می‌باشد. داده‌های مدل‌های IPSL-CM5A-MR و CSIRO-MK36 تحت سناریوهای RCP4/5 و RCP8/5 گزارش پنجم برای ارزیابی تأثیر تغییرات اقلیمی با ریزگردان آماری LARS WG ریزمقیاس شده‌اند. پس از انجام واسنجی، صحت سنجی و مدل‌سازی داده‌ها در دو ایستگاه­ (آبعلی و کیاسر) کارایی مدل‌ها ازنظر مقدار انطباق داده‌های مشاهده‌شده با مقدار شبیه‌سازی‌شده با استفاده از شاخص RMSE، R2، MAE ارزیابی گردید. نتایج به‌دست‌آمده نشان داد که مدل‌های IPSL-CM5A-MR و CSIRO-MK36 نتایج قابل قبولی به دست می‌دهند در  ایستگاه آبعلی مقدار بارندگی در دوره پایه 08/542 میلی‌متر می‌باشد تحت سناریوهای RCP4/5 و RCP8/5 در هر دو مدل IPSL-CM5A-MR و CSIRO-MK36 در آینده بین سال‌های (2060-2021) به میزان 0/97- 0/91 درصد افزایش خواهد داشت. میانگین دمای حداکثر 2/2-1/7 سانتی‌گراد و دمای حداقل 1/88-1/56 سانتی‌گراد نسبت به دوره پایه افزایش خواهد داشت. در ایستگاه کیاسر نیز مقدار بارندگی در دوره پایه 528/46 میلی‌متر می‌باشد که تحت سناریوهای RCP4/5 و RCP8/5 در هر دو مدل در آینده بین سال‌های (2060-2021) به میزان 0/96- 0/87 درصد افزایش خواهد داشت. میانگین دمای حداکثر 2/18-1/72 سانتی‌گراد و دمای حداقل 1/82-1/62 سانتی‌گراد نسبت به دوره پایه افزایش خواهد داشت.
کلیدواژه‌ها

عنوان مقاله English

Investigating changes in precipitation, temperature and radiation parameters under climatic scenarios in the high mountain areas of Middle Alborz

نویسندگان English

mehrnoush parsa 1
hossein barani 2
afshin soltani 2
abdolreza bahremand 2
hassan ghelichnia 3
1 no
2 دانشگاه علوم کشاورزی و منابع طبیعی گرگان
3 مرکز تحقیقات کشاورزی و منابع طبیعی ساری
چکیده English

Climate change is one of the biggest challenges that humanity has faced in the 21st century, because it can have severe effects on water resources, agriculture, energy, and even human bioclimate. The purpose of this study is to investigate the changes of climatic parameters in four sites of Plour, Rineh, Kangarchal and Poshtkoh in Mazandaran province using general atmospheric circulation models. For this purpose, the data of IPSL-CM5A-MR and CSIRO-MK36 models under RCP4/5 and RCP8/5 scenarios have been scaled with LARS WG statistical micro-rotator to evaluate the impact of climate change. After carrying out calibration, verification and modeling of data in two stations (Abali and Kiasar), the effectiveness of the models in terms of the amount of compliance of the observed data with the simulated value using the RMSE index, R2, MAE was evaluated. The obtained results showed that IPSL-CM5A-MR and CSIRO-MK36 models obtain acceptable results. Considering that in Abali station, the amount of rainfall in the base period is 542.08 mm under RCP4.5 and RCP8.5 scenarios in both IPSL-CM5A-MR and CSIRO-MK36 models in the future between (2021-2060) will increase by 0.91-0.97 percent. The average maximum temperature will increase by 1.7-2.2 centigrade and minimum temperature by 1.56-1.88 centigrade compared to the base period. Accordingly, the amount of rainfall in the base period in Kiasar station is 528.46 mm, which under the scenarios of RCP4.5 and RCP8.5 in both models in the future between the years (2021-2060) is 96. 0-87% will increase. The average maximum temperature will increase by 1.72-18.2 centigrade and the minimum temperature will increase by 1.62-1.82 centigrade compared to the base period.

کلیدواژه‌ها English

Climate change
Global circulation model
Trend
Simulation
Mazandaran
1-Abkar., A. G., Habibnejad, M., Soleimani, K and Naghavi, H. 2012. Investigating the effectiveness of SDSM model in simulating temperature indices in arid and semi-arid regions. Irrigation and water engineering scientific research quarterly. 14. 1-17. (In Persian (
2-Agriculture and Natural Resources Center.
3-Alizadeh, A. 2007. Principles of Applied Hydrology, University of Ferdowsi Mashhad, Iran. 698 pp. (In Persian)
4-Ashraf, B., Mousavibaygi, M., Kamali, GH., and Davoodi., K. 2011. Investigating the process of changing climatic parameters of Mashhad in the period from 2011 to 2030 using simulated data with the LARS WG model, Proceedings of the First National Conference on Meteorology and Agricultural Water Management, Tehran University of Agriculture and Natural Resources. 123-129. (In Persian)
5-Babaeian, I., and Najafinik., Z. 2000. Introduction and evaluation of LARS-WG model for modeling meteorological parameters of Khorasan province in the period of 1961-2003. 63. 24-30. (In Persian)
6-Chen, H., Guo, S.C.X., and Singh, V.P. 2007. Historical temporal trends of hydro-climatic variables and runoff response to climate variability and their relevance in water resource management in the Hanjiang basin. Journal of Hydrology, 344: 171-184.
7-Darzinaftchali, A., Maldarbadeli, M., Ziatabar Ahmadi, M,KH., and Karandish, F. 2014. Analysis of the effects of climate change on agricultural sustainability in Mazandaran province. Iran Irrigation and Drainage Journal. 6.9. 994-1004. (In Persian)
8-Esmaeili, R., Habibi Nokhandan, M., and Falahfalher, G.A. 2010. Evaluation of changes in the growth period and glaciers caused by climatic fluctuations, a case study of Razavi Khorasan, Journal of Natural Geography Research.73. 69-82. (In Persian)
9-Ghadamidehno, M., Godazi, M., Soltani, S., Naderi, S., and Kakapour, S. 2018. Performance of ATR and AR4 models in simulating climatic parameters with artificial neural network, case study: Caesar watershed. Journal of Abkhazdari Science and Engineering of Iran. Course 12. 42. 1-9. (In Persian)
10-Ghamghami, M., Ghahraman, N., and Hejabi, S. 2014. Revealing the impact of climate change on meteorological droughts in northwest Iran. Journal of Earth and Space Physics, 40. 1. 167-184. (In Persian)
11-Haghtalab, N., Godarzi, M., Habibinokhndan, M., Yavari, A.R., and Jafari, H.R. 2015. Modeling the climate of Tehran and Mazandaran provinces using the LARS-WG climate model and comparing its changes in the northern and southern fronts of Central Alborz, Environmental Science and Technology Quarterly.
12-Hejazizadeh, Z., Hosseini, M.H., and Karbalaeidaree, A. 2014. Simulation of climatic variables of Semnan province with the scenarios of general atmospheric circulation model hadcm3. Geography and Environmental hazards. 15. 1-24. (In Persian)
13-Kendall, M.G. 1975. Rank Correlation Measures London: Charles Griffin. 202 pp.
14-Khodamoradpour, M., and Khani, F., Mahmodvand, R. 2018. Prediction of climatic changes of air temperature by RegCM model coupled with lake model in the next decade (case study of northwest and west of Iran). Second National Conference on Hydrology and Meteorology of Iran. 19. (In Persian)
15-Kumar, A. A., Shekh, A. M., and Kumar, M. 2008. Growth and yield response of soybean in relation to temperature, photo period and sunshine duration at Anand Gujarat, India. American –Euarsian Journal of Agronomy, 2(1): 45-50.
16-Mann, H.B. 1945. Non-parametric tests against trend. Econometric, 13: 245-259.  
17-Mokhberi, Z., Fatahi, A., and Borna, R. 2020. Investigating the prospect of changes in precipitation in Karun-e-Borgar using the CMIP5 series of models. Geographical Sciences Applied Research Journal. (In Persian)
18-Moslemzadeh, A., Irannejad, P., and Alizadehcobri, A. 2018. Investigating the effects of climate change on the components of Iran's surface water balance. Proceedings of the 18th Iran Geophysical Conference.124-127.
19-Nadi, M., and Khalili, A. 2012. Classification of Iran's rainfall climate by cluster factor analysis method. Iran water and soil research. 44(3): 237-244. (In Persian)
20-Panahi, A., and Khoramabadi, F. 2009. Evaluation of accuracy of CSIRO data and LARS-WG model in simulating climatic variables of East Azarbaijan province. Journal of climate changes and hazards. first year. 2. Zanjan University. (In Persian)
21-Sedaghatkerdar, A., and Fattahi, E. 2008. Warningof droughtindicesinIran, Journalof Geographyand Development, 6 (11): 76-59. (In Persian)
22-Semenov, M.A., Brooks, R.J., Barrow, E.M and Richardson, C.W. 1998. Comparison of the WGEN and L16-RS-WG Stochastic Weather Generation in divers climates. Cliamate Research 10,95-107.
23-Shahabfar, A., and Ghiamibajgirani, A. 2001. Long-term forecasting of climatic variables by digital models of general circulation and methods of converting the output scale of these models from global to regional scale. Scientific Bulletin of Climatology Center. 8. 10-22. (In Persian)
24-Sharghi, A., Norani, V., and Aghayilahordi, F. 2016. Evaluation of climate change effects on temperature and precipitation parameters of Tabriz station in 2020-2049 using LARS-WG model and change factor method. The 16th Iranian Hydraulic Conference, Technical and Engineering Faculty, Mohaghegh Ardabili University. (In Persian)
25-Soltani, A., and Sinclair, T.R. 2012. Modeling physiology of crop development, growth and yield. CAB International, Wallingford, UK. (In Persian)
26-Soltani, A., and Mirzaee, A,R. 2021. sustainable agriculture. (In Persian)
27-Vatankhah, T., Moosavi, S. N., and Tabatabaei, S.M. 2020. The economic impacts of climate change on agriculture in Iran: A CGE model analysis. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 42, 1935-1949. (In Persian)
28-Walther, G., Post, E., Convey, P., Menzel, A., Parmesan, C., Beebee, T.J.C., Fromentin, J.M., Hoegh-Guldberg, O., and Bairlein, F. 2002. Ecological responses to recent climate change. Nature. 416: 389-395
29-Wilby R.L., and Wigley T.M.L. 1997. Downscaling general circulation model output: a review of methods and limitations. Progress in Physical Geography. 21: 530-548.
30-Yaghobzadeh, M., Khasheesioki, A., Ramezani, Y., and Hoseini, A. 2020. Choosing the best climate change model in estimating the meteorological variables of Birjand synoptic station. Geographical studies of dry areas. 10. 37. 68-78. (In Persian)
31-Yosefdost, A., Abonori, R., and Esmaeli, P. 2015. Analysis and evaluation of the performance of CSIRO-MK3 model compared to HasCM3 model in studying the effects of climate change on temperature and precipitation in Taleghan basin. International Conference on Civil Engineering, Architecture and Urban Infrastructure. (In Persian)