تحقیقات کاربردی علوم جغرافیایی

تحقیقات کاربردی علوم جغرافیایی

A Comparative Evaluation of Drought Indices Using CMIP6 Climate Model Simulations: A Case Study of Semnan Province, Iran

نویسندگان
Hossein Ghorbani
Mohammad baaghideh
alireza entezari
Asgari elaheh.asgari2011@gmail.com
Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar
چکیده
In recent years, the world has experienced more frequent droughts, largely due to climate change. This study monitors and projects drought conditions in Semnan Province, Iran, using the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI). It also evaluates drought characteristics under future climate scenarios. Projections of temperature and precipitation from 12 CMIP6 climate models were downscaled using Quantile Mapping. To reduce uncertainty, a Bayesian Model Averaging (BMA) ensemble was created. These projections were then used to calculate 12-month SPI and SPEI values for both the baseline and near-future period (2031–2054).

Drought characteristics—such as duration, intensity, and magnitude—were analyzed using Run theory and compared across two periods. Ensemble model projections suggest that mean temperatures in the province will rise by approximately 1.1-1.2 °C relative to the baseline period under both scenarios. Furthermore, annual average precipitation is expected to increase by 3-8% at most stations in the province, except for Shahrud station. The SPI and SPEI indices exhibited a significant positive correlation, demonstrating relatively similar performance despite minor differences. Based on both indices, drought characteristics such as duration and intensity are projected to increase significantly during the latter years of the 2031–2054 horizon compared to the baseline period. The most notable increase was observed for the SPEI index under the SSP585 scenario, where drought duration rose from 6.6 months during the baseline period to 8.9 months under the SSP245 scenario and 16 months under the SSP585 scenario. For the SPI index, drought duration decreased from 6.3 months in the baseline period to 5.6 months under the SSP245 scenario, then increased to 7.8 months under the SSP585 scenario.


کلیدواژه‌ها
میانگین‌گیری مدل بیزن
نگاشت چندک
تئوری ران
استان سمنان
- Abdolalizadeh, F., Khorshiddoust, M., & Jahanbakhsh, S. (2023). Projection and evaluation of the trend of temperature, precipitation and drought in Urmia Lake catchment. Journal of Hydrogeomorphology, 10(36), 57-39.
- Ahrari, S., & Raja, O. (2025). Investigation of meteorological, agricultural, and hydrological drought indicators in Mahabad plain. Water Management in Agriculture, 12(1), 29-48.
- Asadi-RahimBeygi, N., Mofidi, A., Zarrin, A., & Dadashi-Roudbari, A. (2025). Near-term climate extremes in Iran based on compound hazards analysis. Scientific Reports, 15(1), 43843.
- Asgari, E., Nazar, M. S. N., Baaghideh, M., Entezari, A., & Shourian, M. (2024). Possible changes in future reservoir inflow and hydropower production potential under CMIP6 GCMs projections for the Dez Dam, Western Iran. Climatic Change, 177(12), 181.
- Azareh, A., Rafiei Sardooi, E., & Jafari Gadaneh, M. (2022). Investigating the effect of climate change on future temperature, precipitation, and droughts using BNU-ESM and HadGEM2 models. Desert Ecosystem Engineering, 10(31), 95-110.
- Bolan, S., Padhye, L. P., Jasemizad, T., Govarthanan, M., Karmegam, N., Wijesekara, H., ... & Bolan, N. (2024). Impacts of climate change on the fate of contaminants through extreme weather events. Science of The Total Environment, 909, 168388.
- Cannon, A. J., Sobie, S. R., & Murdock, T. Q. (2015). Bias correction of GCM precipitation by quantile mapping: how well do methods preserve changes in quantiles and extremes? Journal of climate, 28(17), 6938-6959.
- Chen, P., Zhang, X., Li, E., & Han, S. (2025). Analyzing the Impact of Land Use Changes on Hydrological Drought in the Yiluo River Basin Based on SWAT. Environmental and Sustainability Indicators, 101052.
- Delghandi, M., Joorablou, S., & Ganji Nowroozi, Z. (2023). The impact of climate change on severity, duration and magnitude of drought using SPI and RDI in Semnan Region. Journal of drought and climate change research, 1(1), 1-18.
- El-Rawy, M., Fathi, H., Zijl, W., Alshehri, F., Almadani, S., Zaidi, F. K., ... & Gabr, M. E. (2023). Potential effects of climate change on agricultural water resources in Riyadh region, Saudi Arabia. Sustainability, 15(12), 9513
- Environment, U.N, IPCC Sixth Assessment Report, 2022. GSTDTAP. Climate Change (2022).
- Ghaemi, A., Hashemi Monfared, S. A., Bahrpeyma, A., Mahmoudi, P., & Zounemat-Kermani, M. (2024). Spatiotemporal variation of projected drought characteristics in Iran under climate change scenarios using CMIP5-CORDEX product. Journal of Water and Climate Change, 15(3), 1054-1075.
- Ghazi, B., Salehi, H., Przybylak, R., & Pospieszyńska, A. (2025). Projection of climate change impact on the occurrence of drought events in Poland. Scientific Reports, 15(1), 5609. ‌
- Guerrero-Salazar, P. L. A., & Yevjevich, V. M. (1975). Analysis of drought characteristics by the theory of runs (Vol. 80). Fort Collins, CO, USA: Colorado State University.‌
- Gumus, V. (2023). Evaluating the effect of the SPI and SPEI methods on drought monitoring over Turkey. Journal of Hydrology, 626, 130386. ‌
- Hashemi Monfared, S. A., Bahrpeyma, A., Mahmoudi, P., & Zounemat-Kermani, M. (2022). Spatiotemporal variation of projected drought characteristics of Iran under the climate change scenarios. Journal of Meteorology and Atmospheric Science, 5(1), 68-80.
- Joorabloo, S., Azhdary, K., Ganji, Z., & Delghandi, M. (2018). Climate change impact on reference evapotranspiration and precipitation deficit in Semnan region. Irrigation Sciences and Engineering, 41(4), 61-75.‌
- Li, L., Peng, Q., Li, Z., & Cai, H. (2024). Evolution of drought characteristics and propagation from meteorological to agricultural drought under the influences of climate change and human activities. Environmental Science and Pollution Research, 31(18), 26713-26736. ‌
- Li, Y., Lu, H., Yang, K., Wang, W., Tang, Q., Khem, S., & Huang, Y. (2021). Meteorological and hydrological droughts in Mekong River Basin and surrounding areas under climate change. Journal of Hydrology: Regional Studies, 36, 100873. ‌
- Lu, Q., Yuan, S., Zhu, L., Ji, F., & Jin, J. (2025). Impact of climate change and human activities on runoff variability in the Yellow River Basin: its responses to multi-year droughts. Water, 17(6), 777.
- Luterbacher, J., Xoplaki, E., Dietrich, D., Jones, P. D., Davies, T. D., Portis, D., ... & Wanner, H. (2001). Extending North Atlantic oscillation reconstructions back to 1500. Atmospheric Science Letters, 2(1‐4), 114-124.‌
- McKee, T. B., Doesken, N. J. and Kleist, J., (1993), The relationship of drought frequency and duration to time scales, In Proceedings of the 8th Conference on Applied Climatology, 17(22), 179-183.
- Meresa, H., & Murphy, C. (2023). Climate change impacts on spatial and seasonal meteorological drought characteristics for the island of Ireland. International Journal of Climatology.
- Mirzayi Hasanlo, A., Abghari, H., & Erfanian, M. (2020). The Effect of Teleconnection Patterns on Rainfall and Drought in the Urmia Lake Basin. Journal of the Earth and Space Physics, 46(3), 537-559.
- Mostafazadeh, R., & Zabihi, M. (2016). Comparison of SPI and SPEI indices to meteorological drought assessment using R programming (Case study: Kurdistan Province). Journal of the Earth and Space Physics, 42(3), 633-643.
- Nikbakht, J., & Hadeli, F. (2021). Comparison of SPI, RDI and SPEI indices for drought smonitoring under climate change conditions (Case study: Kermanshah station). Journal of Agricultural Meteorology, 9(1), 14-25.
- Raftery, A. E., Gneiting, T., Balabdaoui, F., & Polakowski, M. (2005). Using Bayesian model averaging to calibrate forecast ensembles. Monthly weather review, 133(5), 1155-1174.
- Rahman, G., Jung, M. K., Kim, T. W., & Kwon, H. H. (2025). Drought impact, vulnerability, risk assessment, management and mitigation under climate change: A comprehensive review. KSCE Journal of Civil Engineering, 29(1), 100120.
- Sadhwani, K., & Eldho, T. I. (2023). Assessing the Effect of Future Climate Change on Drought Characteristics and Propagation from Meteorological to Hydrological Droughts—A Comparison of Three Indices. Water Resources Management, 1-22.
- Teutschbein, C., & Seibert, J. (2012). Bias correction of regional climate model simulations for hydrological climate-change impact studies: Review and evaluation of different methods. Journal of hydrology, 456, 12-29.
- Vicente-Serrano S.M., Beguería S., and López-Moreno J.I. 2010. A Multi–scalar drought index sensitive to global warming: The Standardized Precipitation Evapotranspiration Index – SPEI. Journal of Climate, 23(7): P 1696– 1718.
- Wang, B., Zheng, L., Liu, D. L., Ji, F., Clark, A., & Yu, Q. (2018). Using multi‐model ensembles of CMIP5 global climate models to reproduce observed monthly rainfall and temperature with machine learning methods in Australia. International Journal of Climatology, 38(13), 4891-4902.
- Wubneh, M. A., Alemu, M. G., Fekadie, F. T., Worku, T. A., Demamu, M. T., & Aman, T. F. (2023). Meteorological and hydrological drought monitoring and trend analysis for selected gauged watersheds in the Lake Tana basin, Ethiopia: under future climate change impact scenario. Scientific African, 20, e01738. ‌
- Yang, X., Li, Y. P., Huang, G. H., Li, Y. F., Liu, Y. R., & Zhou, X. (2022). Development of a multi-GCMs Bayesian copula method for assessing multivariate drought risk under climate change: a case study of the Aral Sea basin. Catena, 212, 106048. ‌
- Yousefizadeh, Rahim & Jalali, Masoud (2014). The Role of Positive and Negative Phases of the NAO on the Precipitation Regime and Temperature Trends in the Northern Regions of Iran’s Central Desert. Second National Conference on Desert Studies with an Approach to Dry and Desert Area Management, Semnan.
- Zareabyaneh, H., Ghobaeisoogh, M., & Mosaedi, A. (2015). Drought monitoring based on Standardized Precipitation Evaoptranspiration Index (SPEI) under the effect of climate change. Water and Soil, 29(2), 374-392.
- Zheng, J., Zhou, Z., Liu, J., Yan, Z., Xu, C. Y., Jiang, Y., & Wang, H. (2023). A novel framework for investigating the mechanisms of climate change and anthropogenic activities on the evolution of hydrological drought. Science of the Total Environment, 900, 165685.
تحقیقات کاربردی علوم جغرافیایی
دوره 25، شماره 0
زمستان 1404