Climate Change Impact on Extreme Rainfalls in Arid Region of Iran
Subject Areas : Water Resource ManagementMohammad Reza Khazaei 1 , hadis khazaee 2 , bahram saghafian 3
1 - Assistant Professor, Department of Civil Engineering, Payame Noor University, Iran (Correspondence Author)
2 - Faculty of Engineering, Tehran Branch of Science and Research, Islamic Azad University, Tehran, Iran.
3 - Professor, Faculty of Engineering, Tehran Science and Research Branch, Islamic Azad University, Tehran, Iran
Keywords: Rainfall, Downscaling, Climate Change, arid, extreme rainfall,
Abstract :
Background and Objective: One of the major impacts on climate changes is change in extreme precipitation regime in the future, which have to be predicted to counteract the harmful effects of climate change. In this paper, climate change impact is assessed on extreme rainfalls in arid regions of Iran. Method: Future scenarios are downscaled using the NSRP model. Long-term daily rainfall series are generated for current climate and future scenarios. By comparing the distribution of extreme daily rainfalls for current and future conditions, the impacts of climate change on extreme rainfalls are assessed. In downscaling method, a wide range of statistics of large-scale scenarios has been transferred to downscaled scenarios. The understudying stations are in Bam, Zahedan, Tehran and Yazd synoptic stations as representatives of the arid regions of Iran. Findings: Validation results indicate that the performance of this method in simulating daily rainfall series and distribution of extreme rainfall is acceptable. Results for most of stations and scenarios show that intensity of extreme daily rainfalls will increase in the future while average rainfall will decrease. As instance, in Yazd, extreme rainfall of 50 years return period would increase between 14 to 58 percent, while the average precipitation will change between +3 to -20 percent. Discussion and Conclusion: These results indicate that the precipitation situation in arid areas of Iran will worsen in the future. Therefore, more extensive investments and taking preventive activities to adapt to climate change is essential.
- IPCC 2001. Climate change 2001. Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the third assessment report of the Intergovernmental Panel on Climate Change. UK: Cambridge University Press.
- IPCC. 2012. Summary for Policymakers. In: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK, and New York, NY, USA, 1-19
- Tryhorn, L., DeGaetano, A., 2011. A comparison of techniques for downscaling extreme precipitation over the Northeastern United States. International Journal of Climatology, vol. 31, pp. 1975-1989.
- Asgari, A., Rahimzade, F., Mohammadian, N., Fattah, E., 2008. Terend Analysis of Extreme Precipitation Indices Over Iran. Iran-Water Resources Research, vol. 3(3), pp. 42-55 (In Persian)
- Arnbjerg-Nielsen, K., 2006. Significant climate change of extreme rainfall in Denmark. Water Sci. Technol. 54 (6–7), pp. 1–8.
- Zhai, P., Zhang, X., Wan, H., Pan, X., 2005. Trends in total precipitation and frequency of daily precipitation extremes over China. J. Climate, 18, pp. 1096–1108.
- Agilan, V., Umamahesh, N.V., 2016. Is the covariate based non-stationary rainfall IDF curve capable of encompassing future rainfall changes? Journal of Hydrology, 541, pp. 1441-1455.
- Cheng, L., AghaKouchak, A., 2014. Nonstationary Precipitation Intensity-Duration-Frequency Curves for Infrastructure Design in a Changing Climate. Scientific Reports, 4, pp. 7093 (1-6)
- Tfwala, C.M., Rensburg, L.D., Schall, R., Mosia, S.M., Dlamini, P., 2017. Precipitation intensity-duration-frequency curves and their uncertainties for Ghaap plateau. Climate Risk Management, 16, pp. 1–9.
- Khazaei, M.R., Khazaei, H., 2018. Scenarios In Climate Change Impact Assessment on Monthly Stream-flow of Karun Basin. Journal of Environmental Science and Technology, 20(1), pp. 29-40 (In Persian)
- Khazaei, M.R., Zahabiyoun, B., Saghafian, B., 2012. Assessment of climate change impact on floods using weather generator and continuous rainfall-runoff model. International Journal of Climatology, vol. 32(13), pp. 1997- 2006
- Khazaei, M.R., Ahmadi, S., Saghafian, B., Zahabiyoun, B., 2013. A new daily weather generator to preserve extremes and low-frequency variability. Climatic Change, 119, pp. 631-645
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- IPCC 2001. Climate change 2001. Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the third assessment report of the Intergovernmental Panel on Climate Change. UK: Cambridge University Press.
- IPCC. 2012. Summary for Policymakers. In: Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK, and New York, NY, USA, 1-19
- Tryhorn, L., DeGaetano, A., 2011. A comparison of techniques for downscaling extreme precipitation over the Northeastern United States. International Journal of Climatology, vol. 31, pp. 1975-1989.
- Asgari, A., Rahimzade, F., Mohammadian, N., Fattah, E., 2008. Terend Analysis of Extreme Precipitation Indices Over Iran. Iran-Water Resources Research, vol. 3(3), pp. 42-55 (In Persian)
- Arnbjerg-Nielsen, K., 2006. Significant climate change of extreme rainfall in Denmark. Water Sci. Technol. 54 (6–7), pp. 1–8.
- Zhai, P., Zhang, X., Wan, H., Pan, X., 2005. Trends in total precipitation and frequency of daily precipitation extremes over China. J. Climate, 18, pp. 1096–1108.
- Agilan, V., Umamahesh, N.V., 2016. Is the covariate based non-stationary rainfall IDF curve capable of encompassing future rainfall changes? Journal of Hydrology, 541, pp. 1441-1455.
- Cheng, L., AghaKouchak, A., 2014. Nonstationary Precipitation Intensity-Duration-Frequency Curves for Infrastructure Design in a Changing Climate. Scientific Reports, 4, pp. 7093 (1-6)
- Tfwala, C.M., Rensburg, L.D., Schall, R., Mosia, S.M., Dlamini, P., 2017. Precipitation intensity-duration-frequency curves and their uncertainties for Ghaap plateau. Climate Risk Management, 16, pp. 1–9.
- Khazaei, M.R., Khazaei, H., 2018. Scenarios In Climate Change Impact Assessment on Monthly Stream-flow of Karun Basin. Journal of Environmental Science and Technology, 20(1), pp. 29-40 (In Persian)
- Khazaei, M.R., Zahabiyoun, B., Saghafian, B., 2012. Assessment of climate change impact on floods using weather generator and continuous rainfall-runoff model. International Journal of Climatology, vol. 32(13), pp. 1997- 2006
- Khazaei, M.R., Ahmadi, S., Saghafian, B., Zahabiyoun, B., 2013. A new daily weather generator to preserve extremes and low-frequency variability. Climatic Change, 119, pp. 631-645