The effect of climate change on meteorological drought using the data of the Sixth Climate Change Report (Case study: Shiraz city)

Document Type : Research Paper

Authors

1 Assistant Professor, Department of Water Science and Engineering, Faculty of Agriculture, University of Birjand, Birjand, Iran

2 PhD Student, Water Resources, Department of Water Science and Engineering, Faculty of Agriculture, University of Birjand, Birjand, Iran

3 Associate Professor, Department of Water Science and Engineering, Faculty of Agriculture, University of Birjand, Birjand Research Group of Drought and Climate Change, University of Birjand, Birjand, Iran

Abstract

Abstract
Introduction: Numerous studies have shown that climate change will have a severe impact on water resources around the world. In the present research, we have tried to investigate the occurrence of drought in Shiraz region under the conditions of climate change.
Methods: In this research, using 4 models of the Sixth Climate Change Report and two scenarios, rainfall data was generated for the next two periods, and after microscaling, the severity of drought was determined using the SPI index with different time scales. The length of the base period of the analyzed data in the current research was 20 years and related to the time period of 1985-2005.
Findings: Microscale results using the BCSD method indicate an increase in temperature in both future periods. According to the results, it can be seen that the difference of the MIROC6 model in both emission scenarios with the observed values was greater than the other GCM models used. According to the results of the current research, in all the models used and in both scenarios, the 20-year average values ​​of the six-month SPI index show the most negative values. In addition, the comparison of models and scenarios in the present study shows that the CanESM5 model shows a higher intensity of drought with a small difference than other models. Also, the results of the average values ​​of the SPI index show that this index shows the severity of the drought with a time scale of 48 months.

Keywords


1.       Waseem M, Park D H, Kim T W. 2016. Comprehensive climatological drought projection over South Korea under climate change. Procedia engineering, 154, 284-290.‏

2.       Bagheri R, Mohammadi S. 2012. Investigation on spatial variations of drought using geostatistics in Kerman province over a thirty-year period (1970- 2000). 19(2), 283-296. doi: 10.22092/ijrdr.2012.103158

3.       Hernández-Vásquez C. C, Ibáñez-Castillo L. A, Gómez-Díaz J D, Arteaga-Ramírez R. 2020. Analysis of meteorological droughts in the Sonora River Basin, Mexico. Atmósfera.‏

4.       Heim Jr R R. 2002. A review of twentieth-century drought indices used in the United States. Bulletin of the American Meteorological Society, 83(8), 1149-1166.‏

5.       Mostafazadeh R, Shahabi M, Zabihi M. 2015. Analysis of meteorological drought using Triple Diagram Model in the Kurdistan Province, Iran. Geographical Planning of Space, 5(17), 129-140.

6.       Naserzadeh MH, Ahmadi E. 2013. Investigating the performance of meteorological drought indicators in assessing drought and its zoning in Qazvin province. Journal of Applied Research in Geographical Sciences; 12 (27), 141-162.

7.       Montaseri M, Nourjoo A, Behmanesh J, Akbari M. 1397. Investigation of wet season and meteorological drought in the southern basins of Lake Urmia (Case study: Zarrineh and Siminehroud catchments). Echo Hydrology, 5 (1), 189-202.

8.       McKee T B, Doesken N J, Kleist J. 1993, January. The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology (Vol. 17, No. 22, pp. 179-183).‏

9.       Morid S, Smakhtin V, Moghaddasi M. 2006: Comparison Of Seven Meteorological Indices For Drought Monitoring In Iran. Int. J. Climatol, Volume 26, Issue 7, Pp. 971–985

10.   Huang Y F, Ang J T, Tiong Y J, Mirzaei M, Amin M Z M. 2016. Drought forecasting using SPI and EDI under RCP-8.5 climate change scenarios for Langat River Basin, Malaysia. Procedia Engineering, 154, 710-717.‏

11.   Hashemi-Ana SK, Khosravi M, Tavousi T, Nazaripour H. Validation of AOGCMs capabilities for simulation length of dry spells under the climate change and uncertainty in Iran. Scientific-Research Quarterly of Geographical Data. 2017; 26(103): 43-58.

12.   LI X X, Hui J U, Sarah G, YAN C R, Batchelor W D, Qin L I U. 2017. Spatiotemporal variation of drought characteristics in the Huang-Huai-Hai Plain, China under the climate change scenario. Journal of integrative agriculture, 16(10), 2308-2322.

13.   Yaghoubzadeh M, Ahmadi M, Seyed Kaboli H, Zamani G, Amirabadizadeh M. 2017. The evaluation of Effect of Climate Change on Agricultural Drought Using ETDI and SPI Indexes. Journal of Water and Soil Conservation, 24(4), 43-61

14.   Hernández-Vásquez C. C, Ibáñez-Castillo L. A, Gómez-Díaz J D, Arteaga-Ramírez R. 2020. Analysis of meteorological droughts in the Sonora River Basin, Mexico. Atmósfera.‏

15.   Saharwardi M S, Mahadeo A S, Kumar P. 2021. Understanding drought dynamics and variability over Bundelkhand region. Journal of Earth System Science, 130(3), 1-16.‏

16.   Noguera I, Domínguez-Castro F, Vicente-Serrano S M. 2021. Flash Drought Response to Precipitation and Atmospheric Evaporative Demand in Spain. Atmosphere, 12(2), 165.‏

17.   Aadhar S, Mishra V. 2020. On the projected decline in droughts over South Asia in CMIP6 multimodel ensemble. Journal of Geophysical Research: Atmospheres, 125(20), e2020JD033587.

18.   Wang T, Tu X, Singh V P, Chen X, Lin K. 2021. Global data assessment and analysis of drought characteristics based on CMIP6. Journal of Hydrology, 596, 126091.‏

19.   Chiang F, Mazdiyasni O, AghaKouchak A. 2021. Evidence of anthropogenic impacts on global drought frequency, duration, and intensity. Nature communications, 12(1), 1-10.‏

20.   Song Z, Xia J, She D, Li L, Hu C, Hong S. 2021. Assessment of meteorological drought change in the 21st century based on CMIP6 multi-model ensemble projections over mainland China. Journal of Hydrology, 601, 126643.‏

21.   Meresa H, Murphy C, Fealy R. 2021, April. Climate change impact on the hydrometeorological drought propagation. In EGU General Assembly Conference Abstracts (pp. EGU21-8285).‏‏

22.   Ayugi B, Shilenje Z W, Babaousmail H, Sian K. T. L. K, Mumo R, Dike V. N, Ongoma V. 2021. Projected Changes in Meteorological Drought Over East Africa Inferred from Bias-Adjusted CMIP6 Models.‏

23.   Ashofteh P, Massah A. 2010. Impact of Climate Change Uncertainty on Temperature and Precipitation of Aidoghmoush Basin in 2040-2069 Period. Water and Soil Science, 19(2), 85-98.

24.   Hewitson B. C, Crane R G. 1996. Climate downscaling: techniques and application. Climate Research, 7(2), 85-95.

25.   Jafarzadeh A, Pourreza-Bilondi M, Afshar A A, Khashei-Siuki A, Yaghoobzadeh M. 2019. Estimating the reliability of a rainwater catchment system using the output data of general circulation models for the future period (case study: Birjand City, Iran). Theoretical and Applied Climatology, 137(3), 1975-1986. ‏

26.   Poodineh MR, Heidarinia M, Moosavi SR, DoostiMoghadam H. 2020. Monitoring drought indicators in Zahedan in different periods. Geography Quarterly, 13(47), 133-143.‏

27.   Yaghoobzadeh M, Amirabadizadeh M, khozeymehnezhad H, zeraatkar Z. 2018. The evaluation of the three downscaling methods in Meteorological droughts forecastingunder the effects of climate change. Iranian Journal of Irrigation & Drainage, 12(2), 323-334.

28.   Nasiri MA, Jabbari S, Bustani F, Shamsnia SA. 2009. Drought Analysis and Monitoring Using Standardized Precipitation Index (SPI) Case Study: Marvdasht County, National Conference on Water Crisis Management, Marvdasht University.

29.   Hosseinabadi S, Yaghoobzadeh M, Amirabadizadeh M, Foroozanmehr M. 2020. Meteorological Drought Assessment in Future Periods by Using of the Data of the Fifth Report of Climate Change (Case Study: Zabol and Shiraz Cities). Arid Regions Geographic Studies. 10 (40) :78-87