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Assessment of Climate Change Impacts on Extreme Precipitation Events in Lake Urmia Basin, Iran | ||
Desert | ||
دوره 27، شماره 1، شهریور 2022، صفحه 13-33 اصل مقاله (2.75 M) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22059/jdesert.2022.88507 | ||
نویسندگان | ||
Kh. Javan* 1؛ A.R. Movaghari2 | ||
1Urmia Lake Research Institute, Urmia University, Urmia, Iran | ||
2Department of Geography, Urmia University, Urmia, Iran | ||
چکیده | ||
Climate change is known as one of the fundamental challenges of mankind, which has affected all aspects of human life. The present study aimed to evaluate the changes in precipitation and predict extreme precipitation in Lake Urmia basin. For this purpose, we evaluated the indices associated with changes in precipitation of eight synoptic stations of Lake Urmia basin for three time periods, namely near (2021-2040), middle (2041-2060) and far future (2061-2080), under two scenarios (RCP4.5 and RCP8.5). Using the CanESM2 model, we compared these periods to the observational period (1986-2005). To this end, after examining the capability of the SDSM model in simulating the reference period climate (1986-2005), future daily precipitation was downscaled. Subsequently, using the RClimDex, extreme precipitation indices were calculated for future periods. The results of the spatial distribution of precipitation variations showed that the average precipitation increased in the following decades, based on both scenarios. Investigation of the changes in extreme indices also revealed that percentile indices (R95p and R99p), Rx1day, SDII, and PRCPTOT rose based on both scenarios and in most future periods; meanwhile, the Rx5day, CWD, and CDD were reduced compared to the baseline period. Among the threshold indices, R10 increased based on RCP4.5 and decreased based on RCP8.5 whereas R20 and R25 did not change significantly compared to the reference period. However, in the far future, all the indices, except for CWD, had a decreasing trend. Although there is a great deal of uncertainty concerning precipitation and extreme precipitation forecasting, the results of such research can be conducive to the future policy making of a country, such as risk assessment. | ||
کلیدواژهها | ||
Extreme precipitation indices؛ Forecasting؛ Trend analysis؛ SDSM model؛ Lake Urmia basin | ||
مراجع | ||
References Abbasnia M, Toros H. 2019. Analysis of long-term changes in extreme climatic indices: a case study of the Mediterranean climate, Marmara Region, Turkey. In: Meteorology and Climatology of the Mediterranean and Black Seas. Birkhäuser, Cham; p. 141-153. AghaKouchak A, Norouzi H, Madani K, Mirchi A, Azarderakhsh M, Nazemi A. 2015. Aral Sea syndrome desiccates Lake Urmia: call for action. Journal of Great Lakes Research, 41(1); 307-311. Ahmadi H, Fallah Ghalhari GA, Goodarzi M. 2018. Estimation and determination of spatial pattern of Apple tree water requirement in Iran. Iranian Journal of Eco Hydrology, 5(1); 149-160. Alesheikh AA, Ghorbanali A, Nouri N. 2007. Coastline change detection using remote sensing. International Journal of Environmental Science & Technology, 4(1); 61-66. Alexander LV, Arblaster JM. 2017. Historical and projected trends in temperature and precipitation extremes in Australia in observations and CMIP5. Weather and climate extremes, 15; 34-56. Alexander LV, Zhang X, Peterson TC, Caesar J, Gleason B, Klein Tank AMG. 2006. Global observed changes in daily climate extremes of temperature and precipitation. Journal of Geophysical Research: Atmospheres, 111(D5). Ashofteh P, Massah AR. 2009. Uncertainty of climate change impact on the flood regime case study: Aidoghmoush Basin, East Azerbaijan, Iran. Iran-Water Resources Research, 5(2). Azizzadeh M, Javan Kh. 2018. Temporal and spatial distribution of extreme precipitation indices over the lake Urmia Basin, Iran. Environmental Resources Research, 6(1); 25-40. Boccolari M, Malmusi S. 2013. Changes in temperature and precipitation extremes observed in Modena, Italy. Atmospheric Research, 122; 16-31. Casanueva A, Rodríguez-Puebla C, Frías MD, González-Reviriego N. 2014. Variability of extreme precipitation over Europe and its relationships with teleconnection patterns. Hydrology & Earth System Sciences Discussions, 18; 709-725. Chen H, Xu CY, Guo S. 2012. Comparison and evaluation of multiple GCMs, statistical downscaling and hydrological models in the study of climate change impacts on runoff. Journal of Hydrology, 434; 36-45. Chen L, Frauenfeld OW. 2014. A comprehensive evaluation of precipitation simulations over China based on CMIP5 multimodel ensemble projections. Journal of Geophysical Research: Atmospheres, 119(10); 5767-5786. Cinco TA, de Guzman RG, Hilario FD, Wilson DM. 2014. Long-term trends and extremes in observed daily precipitation and near-surface air temperature in the Philippines for the period 1951– 2010. Atmospheric research, 145; 12-26. DESERT2022, 27(1): 13-33 30 Danesh AS, Ahadi MS, Fahmi H, Habibi Nokhandan M, Eshraghi H. 2016. Climate change impact assessment on water resources in Iran: applying dynamic and statistical downscaling methods. Journal of Water and Climate Change, 7(3); 551-577. Darand M. 2020. Projected changes in extreme precipitation events over Iran in the 21st century based on CMIP5 models. Climate Research, 82; 75-95. Davarpanah S, Erfanian M, Javan K. 2021. Assessment of Climate Change Impacts on Drought and Wet Spells in Lake Urmia Basin. Pure and Applied Geophysics, 178; 545-563. Degefie DT, Fleischer E, Klemm O, Soromotin AV, Soromotina OV, Tolstikov AV, Abramov NV. 2014. Climate extremes in South Western Siberia: past and future. Stochastic environmental research and risk assessment, 28(8); 2161-2173. Delju AH, Ceylan A, Piguet E, Rebetez M. 2013. Observed climate variability and change in Urmia Lake Basin, Iran. Theoretical and applied climatology, 111(1-2); 285-296. Dibike YB, Coulibaly P. 2005. Hydrologic impact of climate change in the Saguenay watershed: comparison of downscaling methods and hydrologic models. Journal of hydrology, 307(1-4); 145- 163. Donat MG, Alexander LV, Yang H, Durre I, Vose R, Dunn RJH, Hewitson B. 2013. Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: The HadEX2 dataset. Journal of Geophysical Research: Atmospheres, 118(5); 2098-2118. Dong Z, Pan Z, He Q, Wang J, Huang L, Pan Y. 2018. Vulnerability assessment of spring wheat production to climate change in the Inner Mongolia region of China. Ecological Indicators, 85; 67- 78. Emami F, Koch M. 2018. Evaluation of statistical-downscaling/bias-correction methods to predict hydrologic responses to climate change in the zarrine river basin, Iran. Climate, 6(2); 30. Fakhri M, Farzaneh MR, Eslamian S, Khordadi MJ. 2012. Uncertainty assessment of downscaled rainfall: impact of climate change on the probability of flood. Journal of Flood Engineering, 3(1); 19-28. Fowler HJ, Blenkinsop S, Tebaldi C. 2007. Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling. International Journal of Climatology: A Journal of the Royal Meteorological Society, 27(12); 1547-1578. Frich P, Alexander AV, Della-Marta PM, Gleason B, Haylock M, Tank AK, Peterson T. 2002. Observed coherent changes in climatic extremes during the second half of the twentieth century. Climate Research, 19(3); 193-212. Fung CF, Lopez A, New M. 2011. Modelling the impact of climate change on water resources. John Wiley & Sons. Goudarzi M, Salahi B, Hosseini SA. 2015. Performance Assessment of LARS-WG and SDSM Downscaling Models in Simulation of Climate Changes in Urmia Lake Basin. Iran-Watershed Management Science & Engineering. 9(31). Graham LP, Hagemann S, Jaun S, Beniston M. 2007. On interpreting hydrological change from regional climate models. Climatic change, 81(1); 97-122. Hafezparast M, Pourkheirolah Z. 2017. Meteorological drought monitoring in order to sustainability in RCP scenarios Case study: Doiraj watershed. Iranian Journal of Eco Hydrology, 4(4); 1227-1239. Hassan Z, Harun S, Malek MA. 2012. Application of ANNs Model with the SDSM for the Hydrological Trend Prediction in the Sub-catchment of Kurau River, Malaysia. Journal of Environmental Science and Engineering. B1; 577-585. Hassanzadeh E, Zarghami M, Hassanzadeh Y. 2012. Determining the main factors in declining the Urmia Lake level by using system dynamics modelling. Water Resources Management, 26(1); 129- 145. Hashmi MZ, Shamseldin AY, Melville BW. 2011. Comparison of SDSM and LARS-WG for simulation and downscaling of extreme precipitation events in a watershed. Stochastic Environmental Research and Risk Assessment, 25(4); 475-484. Hussain MS, Lee S. 2013. The regional and the seasonal variability of extreme precipitation trends in Pakistan. Asia-Pacific Journal of Atmospheric Sciences, 49(4); 421-441. IPCC. 2001. Climate Change 2001. Synthesis Report, A Contribution of Working Groups. I, II and III to the Third Assessment Report of the Intergovernmental Panel on Climate Change, Watson and the Core Writing Team (eds). Cambridge University, Cambridge, UK and New York, USA. 31 Javan & Movaghari IPCC. 2007. Climate change 2007: the physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University, Cambridge, UK. IPCC. 2013. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, United Kingdom and New York, NY, USA: Cambridge University Press. IPCC. 2014, Summary for policymakers. In: IPCC. Climate change, impact, adaptation and vulnerability. Contribution of working group 2 to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, pp. 132. Cambridge, UK and New York, USA, Cambridge University Press. IRIMO. 2012. Summary Reports of Iran’s Extreme Climatic Events. Ministry of Roads and Urban Development, Iran Meteorological Organization, 26p. (www.cri.ac.ir) Ishida K, Gorguner M, Ercan A, Trinh T, Kavvas ML. 2017. Trend analysis of watershed-scale precipitation over Northern California by means of dynamically-downscaled CMIP5 future climate projections. Science of The Total Environment, 592, 12-24. Jakob D, Walland D. 2016. Variability and long-term change in Australian temperature and precipitation extremes. Weather and Climate Extremes, 14; 36-55. Jalili S, Kirchner I, Livingstone DM, Morid S. 2012. The influence of large‐scale atmospheric circulation weather types on variations in the water level of Lake Urmia, Iran. International Journal of Climatology, 32(13), 1990-1996. Jiang M, Felzer BS, Sahagian D. 2016. Predictability of precipitation over the conterminous US based on the CMIP5 multi-model ensemble. Scientific reports, 6; 1-9. Jolliffe IT, Stephenson DB. 2012. Forecast verification: a practitioner's guide in atmospheric science. John Wiley & Sons. Jung IW, Bae DH, Kim G. 2011. Recent trends of mean and extreme precipitation in Korea. International journal of climatology, 31(3); 359-370. Keihanpanah M, Zare Bidaki R, Bazrafshan J. 2018. Flow Modelling in Great Karun Sub-basins in terms of Future Climate. Ecohydrology, 4(4). Kharin VV, Zwiers FW, Zhang X, Wehner M. 2013. Changes in temperature and precipitation extremes in the CMIP5 ensemble. Climatic change, 119(2); 345-357. Khazaei MR. 2016. Climate change impact assessment on hydrological regimes of a mountainous river basin in Iran. Journal of Soil and Water Resources Conservation, 5(3). Khazaei B, Khatami S, Alemohammad SH, Rashidi L, Wu C, Madani K. 2019. Climatic or regionally induced by humans? Tracing hydro-climatic and land-use changes to better understand the Lake Urmia tragedy. Journal of Hydrology, 569; 203-217. Kilsby CG, Jones PD, Burton A, Ford AC, Fowler HJ, Harpham C. 2007. A daily weather generator for use in climate change studies. Environmental Modelling & Software, 22(12); 1705-1719. Klein Tank, Zwiers FW, Zhang X. 2009. Guidelines on Analysis of extremes in a changing climate in support of informed decisions for adaptation. World Meteorological Organization. (Switzerland). Ly S, Charles C, Degré A. 2010. Spatial interpolation of daily rainfall at catchment scale: a case study of the Ourthe and Ambleve catchments, Belgium. Hydrology and Earth System Sciences Discussions, 7; 7383-7416. Mo XG, Hu S, Lin ZH, Liu SX, Xia J. 2017. Impacts of climate change on agricultural water resources and adaptation on the North China Plain. Advances in Climate Change Research, 8(2); 93-98. Molanejad M, Soltani M, Ranjbar A. 2014. Changes in precipitation extremes in climate variability over northwest Iran. International Journal of Agricultural Policy and Research, 2(10); 334-345. Moss RH, Edmonds JA, Hibbard KD, Manning MR, Rose SK, Van Vuuren DP. 2010. The next generation of scenarios for climate change research and assessment. Nature, 463(7282); 747-756. Mozafari GA, Shafiei S, Roknadini B. 2014. Spatial-statistical analysis of the predicted precipitation of Iran using HadCM3 atmospheric-oceanic coupled model .Agricultural Meteorology, 2(2); 37-46. Najafi R, Hesami Kermani MR. 2017. Uncertainty modelling of statistical downscaling to assess climate change impacts on temperature and precipitation. Water resources management, 31(6); 1843-1858. Najafi MR, Moazami S. 2016. Trends in total precipitation and magnitude–frequency of extreme precipitation in Iran, 1969–2009. International Journal of Climatology, 36(4); 1863-1872. DESERT2022, 27(1): 13-33 32 Nourani V, Razzaghzadeh Z, Baghanam AH, Molajou A. 2019. ANN-based statistical downscaling of climatic parameters using decision tree predictor screening method. Theoretical and Applied Climatology, 137(3-4); 1729-1746. Nuri AZ, Farzaneh M, Espanayi K. 2014. Assessment of climatic parameters uncertainty under the effect of different downscaling techniques. International Research Journal of Applied and Basic Sciences, 8(9); 838-225. Öztopal A. 2017. Extreme precipitation climate change scenario evaluation over Turkey. International Journal of Global Warming, 11(4); 479-494. Perkins SE, Moise A, Whetton P, Katzfey J. 2014. Regional changes of climate extremes over Australia– a comparison of regional dynamical downscaling and global climate model simulations. International Journal of Climatology, 34(12); 3456-3478. Pingale SM, Khare D, Jat MK, Adamowski J. 2014. Spatial and temporal trends of mean and extreme rainfall and temperature for the 33 urban centers of the arid and semi-arid state of Rajasthan, India. Atmospheric Research, 138; 73-90. Rahimzadeh F, Asgari A, Fattahi E. 2009. Variability of extreme temperature and precipitation in Iran during recent decades. International Journal of Climatology: A Journal of the Royal Meteorological Society, 29(3); 329-343. Rashidian L, Ebrahimi A. 2016. Investigating Climate Change Trend Based on Data Simulation and IPCC Scenario during 2010-2030 AD: Case Study of Fars Province. International Journal of Environmental and Ecological Engineering, 10(8); 836-841. Razmara P, Massah Bavani AR, Motiee H, Torabi S, Lotfi S. 2013. Investigating uncertainty of climate change effect on entering runoff to Urmia Lake Iran. Hydrology and Earth System Sciences Discussions, 10(2); 2183-2214. Requena AI, Burn DH, Coulibaly P. 2019. Estimates of gridded relative changes in 24-h extreme rainfall intensities based on pooled frequency analysis. Journal of Hydrology, 577; 123940. Romm J. 2018. Climate Change: What Everyone Needs to Know. Oxford University Press. Roshan GR, Khosh Akhlagh F, Azizi G. 2012. Assessment of suitable general atmosphere circulation models for forecasting temperature and precipitation amounts in Iran under the condition of global warming. Geography and Development, 10(27). Salon S, Cossarini G, Libralato S, Gao X, Solidoro C, Giorgi F. 2008. Downscaling experiment for the Venice lagoon. I. Validation of the present-day precipitation climatology. Climate Research, 38(1); 31-41. Samadi S, Ehteramian K, Sarraf BS. 2011. SDSM ability in simulate predictors for climate detecting over Khorasan province. Procedia-Social and Behavioral Sciences, 19; 741-749. Sanikhani H, Kisi O, Amirataee B. 2018. Impact of climate change on runoff in Lake Urmia basin, Iran. Theoretical and applied climatology, 132(1-2); 491-502. Schoof JT, Robeson SM. 2016. Projecting changes in regional temperature and precipitation extremes in the United States. Weather and climate extremes, 11; 28-40. Shadkam S, Ludwig F, Van Oel P, Kirmit C, Kabat P. 2016. Impacts of climate change and water resources development on the declining inflow into Iran's Urmia Lake. Journal of Great Lakes Research, 42(5); 942-952. Shrestha A, Babel M, Weesakul S, Vojinovic Z. 2017. Developing Intensity–Duration–Frequency (IDF) curves under climate change uncertainty: the case of Bangkok, Thailand. Water, 9(2); 145. Sillmann J, Kharin VV, Zwiers FW, Zhang X, Bronaugh D. 2013. Climate extremes indices in the CMIP5 multimodel ensemble: Part 2. Future climate projections. Journal of geophysical research: atmospheres, 118(6); 2473-2493. Sobhani B, Eslahi M, Babaeian I. 2016. The efficiency of statistical downscaling models of SDSM and LARS-WG in the simulation of meteorological parameters in Lake Urmia basin. Physical Geography, 47(4); 1. Soltani M, Laux P, Kunstmann H, Stan K, Sohrabi MM, Molanejad M. 2016. Assessment of climate variations in temperature and precipitation extreme events over Iran. Theoretical and Applied Climatology, 126(3-4); 775-795. Song X, Song S, Sun W, Mu X, Wang S, Li J, Li Y. 2015. Recent changes in extreme precipitation and drought over the Songhua River Basin, China, during 1960–2013. Atmospheric Research, 157; 137- 152. 33 Javan & Movaghari Soudi M, Ahmadi H, Yasi M, Hamidi SA. 2017. Sustainable restoration of the Urmia Lake: History, threats, opportunities and challenges. European Water, 60(1); 341-347. Sun W, Mu X, Song X, Wu D, Cheng A, Qiu B. 2016. Changes in extreme temperature and precipitation events in the Loess Plateau (China) during 1960–2013 under global warming. Atmospheric Research, 168; 33-48. Thibeault JM, Seth A. 2014. Changing climate extremes in the Northeast United States: observations and projections from CMIP5. Climatic change, 127(2); 273-287. Tourian MJ, Elmi O, Chen Q, Devaraju B, Roohi S, Sneeuw N. 2015. A spaceborne multisensor approach to monitor the desiccation of Lake Urmia in Iran. Remote Sensing of Environment, 156; 349-360. VanVuuren DP, Edmonds J, Kainuma M, Riahi K, Thomson A, Hibbard K. 2011. The representative concentration pathways: an overview. Climatic change, 109(1-2); 5. Wang XL, Feng Y. 2010. Rhtests V3. User manual. climate research division. atmospheric science and technology directorate. Science and Technology branch. Environment Canada. Wang B, Li Liu D, Asseng S, Macadam I, Yu Q. 2015. Impact of climate change on wheat flowering time in eastern Australia. Agricultural and Forest Meteorology, 209; 11-21. Wang H, Pan Y, Chen Y, Ye Z. 2017. Linear trend and abrupt changes of climate indices in the arid region of northwestern China. Atmospheric research, 196; 108-118. Westra S, Alexander LV, Zwiers FW. 2013. Global increasing trends in annual maximum daily precipitation. Journal of Climate, 26(11); 3904-3918. Wilby RL, Dawson CW, Barrow EM. 2002. SDSM—a decision support tool for the assessment of regional climate change impacts. Environmental Modelling & Software, 17(2); 145-157. Willems P, Arnbjerg-Nielsen K, Olsson J, Nguyen VTV. 2012. Climate change impact assessment on urban rainfall extremes and urban drainage: Methods and shortcomings. Atmospheric research, 103; 106-118. Zamani Nuri A, Farzaneh MR, Fakhri M, Dokoohaki H, Eslamian S, Khordadi MJ. 2013. Assessment of future climate classification on Urmia Lake basin under the effect of climate change. International Journal of Hydrology Science and Technology, 3(2); 128-140. Zarghami M. 2011. Effective watershed management; case study of Urmia Lake, Iran. Lake and Reservoir Management, 27(1); 87-94. Zhang X, Aguilar E, Sensoy S, Melkonyan H, Tagiyeva U, Ahmed N. 2005. Trends in Middle East climate extreme indices from 1950 to 2003. Journal of Geophysical Research: Atmospheres, 110(D22). Zhang X, Alexander L, Hegerl GC, Jones P, Tank AK, Peterson TC. 2011. Indices for monitoring changes in extremes based on daily temperature and precipitation data. Wiley Interdisciplinary Reviews: Climate Change, 2(6); 851-870. Zhang X, Yang F. 2004. RClimDex 10 user manual Climate Research Branch Environment Canada. Zhao L, Xu J, Powell AM. 2013. Discrepancies of surface temperature trends in the CMIP5 simulations and observations on the global and regional scales. The climate of the Past Discussions, 9(6); 6161- 6178. Zhao L, Xu J, Powell AM, Jiang Z. 2015. Uncertainties of the global-to-regional temperature and precipitation simulations in CMIP5 models for past and future 100 years. Theoretical and applied climatology, 122(1-2); 259-270. Zhou Y, Ren G. 2011. Change in extreme temperature event frequency over mainland China, 1961− 2008. Climate Research, 50(2-3); 125-139. | ||
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