Spatial Changes of Seasonal Reference Evapotranspiration in Iran Based on CMIP۶ Models

Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: Persian
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JR_JESPHYS-49-4_013

تاریخ نمایه سازی: 7 اسفند 1402

Abstract:

The aim of the present study is to investigate the spatial changes of seasonal ETo in Iran in the future (۲۰۲۰–۲۰۵۰), based on SSP۱-۲.۶, SSP۲-۴.۵ and SSP۵-۸.۵ scenarios of CMIP۶ models (MRI-ESM۲ and GFDL-ESM۴) compared to the observed data (۱۹۹۲–۲۰۱۴). The FAO۵۶-PM method was used to estimate ETo, and the CV was utilized to investigate the changes. The results showed that ETO will decrease in all seasons across the country under all GFDL-ESM۴ scenarios (except winter under SSP۵-۸.۵). However based on the scenarios of the MRI-ESM۲ model for ۲۰۲۰–۲۰۵۰, the amount of ETO will increase in the southeastern and southern regions in winter, but in the northwest, west, east, and areas corresponding to the Zagros highlands, ETo will decrease. In spring and summer, ETo will increase in the Caspian Coast, northeastern, western and interior areas of Iran, and even in the northwest (in summer). In the fall, ETO will increase in the eastern and western regions of the country, east of the Caspian Sea and the northern Iranian plateau. Fall, summer, winter and spring, respectively, represent the highest levels of spatial changes in ETo, but it will expand only according to the MRI-ESM۲ model in the winter (۲۱% – ۲۵%) under SSP۱-۲.۶. Other seasons show fewer changes than in the past, based on models. Accordingly, the need for detailed planning in water resource management is emphasized, especially in the southern and eastern parts of Iran toward the inner areas.

Authors

Kobra Soltani

Department of Geography, Faculty of Literature and Human Sciences, Razi University, Kermanshah, Iran.

Jafar Masoompour Samakosh

Department of Geography, Faculty of Literature and Human Sciences, Razi University, Kermanshah, Iran.

Firouz Mojarrad

Department of Geography, Faculty of Literature and Human Sciences, Razi University, Kermanshah, Iran.

Sahar Hadi Pour

School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia.

Abdollah Jalilian

Department of Statistics, Faculty of Science, Razi University, Kermanshah, Iran.

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