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To assess the impacts of climate change on runoff in Golestan Province, Iran

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Abstract

Climate is a complex environment that is evolving primarily as the greenhouse gases increase. Due to the importance of climate change and the impact it can have on water resources, evaluation of the effect of climate change on water sources has been considered in various watersheds on the planet in recent years. The aim of this research is to assess the impacts of climate change on runoff in Golestan Province. This research consists of two parts of climate and hydrology. In the climate change part, daily data of the minimum temperature, maximum temperature, precipitation, and sunny hours of the synoptic station of the Hashemabad of Gorgan and the rain gauge station of the Naharkhoran during the period of 1985–2013 were simulated using LARS-WG6 statistical model. After verifying the model efficiency in simulating the mentioned meteorological parameters in the Ziarat watershed, the data from three Representative Concentration Pathways (RCP) scenarios (RCP2.6, RCP4.5 and RCP8.5) from HadGEM2-ES model in two periods of 2041–2060 and 2061–2080 were downscaled by the use of LARS-WG6 model to evaluate the impact of climate change on runoff. In the hydrological part, rainfall and runoff were simulated using the IHACRES hydrological model. After calibration in the 1990–1992 period and validation in 2001, the temperature and rainfall data extracted from the LARS-WG6 model were entered in the IHACRES model and runoff changes caused by climate change were calculated in future period relative to the base period. Based on the estimation of LARS-WG6 model for the future scenarios, the results showed that the minimum and maximum temperature of the Ziarat watershed will increase to the amounts of 1.81 to 4.56 °C. The amount of rainfall also varies from 4.79to 16.38 mm in comparison with the base period. Also, the amount of runoff under three scenarios in three periods has changed from −0.373 to 0.308 m3/s in comparison with the base period. These results can be considered in the long-term development programs in water resources sector.

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References

  • Arnell NW (1999) Climate change and global water resources. Glob Environ Chang 9(1):S31–S49

    Article  Google Scholar 

  • Ashofte PS, Massah A (2012) Investigation of AOGCM model uncertainty and emission scenarios of greenhouse gases impact on the basin runoff under climate change, case study Gharanghu Basin, East Azerbaijan. Iran Water Resour Res 8(2):36–47

    Google Scholar 

  • Croke BFW, Jakeman AJ (2004) A catchment moisture deficit module for the IHACRES rainfall-runoff model. Environ Model Softw 19(1):1–5

    Article  Google Scholar 

  • Croke BFW, Merritt WS, Jakeman AJ (2004) A dynamic model for predicting hydrologic response to land cover changes in gauged and ungauged catchments. J Hydrol 291(1):115–131

    Article  Google Scholar 

  • Croke BFW, Andrews F, Jakeman AJ, Cuddy SM, Luddy A (2006) IHACRES classic plus: a redesign of the IHACRES rainfall-runoff model. Environ Model Softw 21(3):426–427

    Article  Google Scholar 

  • Croke B, Jakeman A (2008) Use of the IHACRES rainfall-runoff model in arid and semi-arid regions. Book Hydrol Model Arid semi-arid areas edited by Howard Wheater, Soroosh Sorooshian, KD Sharma, pp 41–48.

  • Croke BFW, Smith B, Jakeman J (2002) A one-parameter groundwater discharge model linked to the ihacres rainfall-runoff model. In: International congress on environmental modelling and software. Lugano, Switzerland pp 428–433.

  • Dousti M, Shahedi K, Habibnezhad Roshan M, Miryaghoubzade M (2014) Using IHACRES semi-conceptual model to simulate daily flow (Case study: Tamar Basin). J Water Soil Conserv 21(2):277–292

    Google Scholar 

  • Dye PJ, Croke BFW (2003) Evaluation of stream flow predictions by the IHACRES rainfall-runoff model in two South African catchments. Environ Model Softw 18(8):705–712

    Article  Google Scholar 

  • Gordon C, Cooper C, Senior CA, Banks H, Gregory JM, Johns TC (2000) The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments. Clim Dyn 16(2–3):147–168

    Article  Google Scholar 

  • Graham LP, Hagemann S, Jaun S, Beniston M (2007) On interpreting hydrological change from regional climate models. Clim Change 81(1):97–122

    Article  Google Scholar 

  • Hertig E, Jacobeit J (2008) Downscaling future climate change: temperature scenarios for the Mediterranean area. Glob Planet Chang J 63:127–131

    Article  Google Scholar 

  • IPCC (2013) The physical science basis. Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change.

  • Kokkonen TS, Jakeman AJ (2002) Structural effects of landscape and land use on stream flow response. Environ Foresight Model A Manif 22:303–321

    Article  Google Scholar 

  • Kokkonen TS, Jakeman AJ, Young PC, Koivusalo HJ (2003) Predicting daily flows in ungauged catchments: model regionalization from catchment descriptors at the Coweeta Hydrologic Laboratory, North Carolina. Hydrol Process 17(11):2219–2238

    Article  Google Scholar 

  • Littlewood IG, Clarke RT, Collischonn W, Croke BFW (2007) Predicting daily stream flow using rainfall forecasts, a simple loss module and unit hydrographs: Two Brazilian catchments. Environ Model Softw 22(9):1229–1239

    Article  Google Scholar 

  • Meshram SG, Singh SK, Meshram C, Deo RC, Ambade B (2018) Statistical evaluation of long term time series of rainfall in concurrence with agriculture and water resources of ken river basin, central India. Theor Appl Climatol 134(3–4):1231–1243. https://doi.org/10.1007/s00704-017-2335-y

    Article  Google Scholar 

  • Meshram SG, Kahya E, Meshram C, Ghorbani MA, Ambade B, Mirabbasi R (2020) Long term temperature trend analysis associated with agriculture crops. Theor Appl Climatol 140:1139–1159. https://doi.org/10.1007/s00704-020-03137-z

    Article  Google Scholar 

  • Pachauri RK, Reisinger A, Albritton DL, Barker T, Bashmakov IA, Canziani O (2008) Climate change, synthesis report, contribution of working groups first to fourth assess reports intergovermental panel climatic change IPCC:104.

  • Pichuka S, Prasad RR, Maity R, Kunstmann H (2017) Development of a method to identify change in the pattern of extreme streamflow events in future climate: application on the Bhadra reservoir inflow in India. J Hydrol Reg Stud 9:236–246

    Article  Google Scholar 

  • Pir MN, Hadinia H, Ashrafzadeh A (2016) Prediction of minimum and maximum temperature, radiation and rainfall in rasht synoptic station under different climate change scenarios. J Geogr Plan 20(55):29–44

    Google Scholar 

  • Pope VD, Gallani ML, Rowntree PR, Stratton RA (2000) The impact of new physical parametrizations in the Hadley Centre climate model: HadAM3. Clim Dyn 16(2–3):123–146

    Article  Google Scholar 

  • Racsko P, Szeidl L, Semenov M (1991) A serial approach to local stochastic weather models. Ecol Model 57:27–41

    Article  Google Scholar 

  • Rahman K, Da Silva AG, Tejeda EM, Gobiet A, Beniston M, Lehmann A (2015) An independent and combined effect analysis of land use and climate change in the upper Rhone River watershed, Switzerland. Appl Geogr 63:264–272

    Article  Google Scholar 

  • Semenov MA (2009) Impacts of climate change on wheat in England and Wales. R Soc Interface 6:343–350

    Article  Google Scholar 

  • Semenov MA, Barrow EM (1997) Use of a stochastic weather generator in the development of climate change scenarios. Clim Change 35(4):397–414

    Article  Google Scholar 

  • Semenov MA, Brooks RJ (1999) Spatial interpolation of the LARS-WG6 stochastic weather generator in Great Britain. Clim Res 11:137–148

    Article  Google Scholar 

  • Semenov MA, Stratonovitch P (2010) Use of multi-model ensembles from global climate models for assessment of climate change impacts. Clim Res 41(1):1–14

    Article  Google Scholar 

  • Semenov MA, Brooks RJ, Barrow EM, Richardson CW (1998) Comparison of the WGEN and LARS-WG6 stochastic weather generators for diverse climates. Clim Res 10:95–107

    Article  Google Scholar 

  • Singh D, Jain SK, Gupta RD (2015) Trend in observed and projected maximum and minimum temperature over NW Himalayan basin. J Mt Sci 12(2):417–433

    Article  Google Scholar 

  • Verma MK, Verma MK, Yadu LK, Murmu M (2017) A study of climate change impact on rainfall of Sheonath River Basin. Indian J Sci Technol 10(11):1–6

    Article  Google Scholar 

  • Ye W, Jakeman AJ, Barnes CJ (1995) A parametrically efficient model for prediction of streamflow in an Australian benchmark catchment with complex storage dynamics. Environ Int 21(5):539–544

    Article  Google Scholar 

  • Zare M, Mohamadreza G, Habibnezhad RM, Shahedi K (2009) Streamflow simulation using IHACRES rainfall-runoff model (case study: kasilian catchment). Watershed Manag Sci Eng 3(9):11–20

    Google Scholar 

  • Zarghami M, Abdi A, Babaeian I, Hassanzadeh Y, Kanani R (2011) Impacts of climate change on runoffs in East Azerbaijan, Iran. Glob Planet Chang J 3:1–10

    Google Scholar 

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Correspondence to Sarita Gajbhiye Meshram.

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The research work is not associated with any government or private organization so the conflict of interest is absent.

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The data sets used for the research are publicly available, so there is no need for ethical approval. The manuscript is not submitted any other journal before submission to this journal and further not submitted simultaneously to another journal.

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Silakhori, E., Dahmardeh Ghaleno, M.R., Meshram, S.G. et al. To assess the impacts of climate change on runoff in Golestan Province, Iran. Nat Hazards 112, 281–300 (2022). https://doi.org/10.1007/s11069-021-05181-y

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  • DOI: https://doi.org/10.1007/s11069-021-05181-y

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