Assessing the Impact of Climate Change on Drought and Forecasting Neka River Basin Runoff in Future Periods

Document Type : Research Article


1 Ph.D. Student, Department of Water Engineering, Faculty of Agricultural Engineering , Sari Agricultural Sciences and Natural Resources University, Sari, Iran

2 Associate Professor, Department of Water Engineering, Faculty of Agricultural Engineering, Sari Agricultural Sciences and Natural Resources University, Sari, Iran


Several studies have shown that climate change will have severe impacts on available water resources worldwide. Due to the effect of climate change on droughts and river flow, it is necessary to investigate the drought and water resources status under climate change conditions. In this study, the effects of climate change on run-off and SPI drought index in the Neka River basin in Mazandaran province were investigated. For this purpose, the data of the weather stations of Barikola, Pajim, Sefidchah, Glevard and Tirtash were used. Historical data of the Neka river discharge was obtained from Glevard hydrometeor Station. For this purpose, during the upcoming period (2018-2081), temperature and precipitation were simulated under three RCP2.6, RCP4.5 and RCP8.5 climate scenarios for the Neka river basin. To determine the mean value of climatic parameters of rainfall and temperature, the Isohyetal method was used between meteorological stations. Then drought and run-off values were calculated. The IHACRES model was used to simulate run-off. The results showed that in all three climate scenarios, drought events will increase during the upcoming periods and wet and normal periods will decrease compared to the base period. Based on the findings, during the upcoming periods, the average annual flow of the Neka River under RCP2.6, RCP4.5, and RCP8.5 scenarios decrease between 15 and 43 percent. Thus, the average annual run-off volume of the Naka River at the Glevard dam will be reduced from 95 MCM in 2014 to 54 to 81 MCM. Therefore, in order to reduce the negative effects of the drought period and also reduce the flow of the Neka River, it is necessary to planning more accurate to avoid social, environmental, economic and cultural tensions.


[1].Waseem M, Park DH, Kim TW. Comprehensive Climatological Drought Projection over South Korea under Climate Change. Procedia engineering. 2016; 154: 284-290.
[2].Huang YF, Ang JT, Tiong YJ, Mirzaei M, Amin MZ. Drought Forecasting Using SPI and EDI under RCP-8.5 Climate Change Scenarios for Langat River Basin, Malaysia. Procedia Engineering. 2016; 154: 710-717.
[3].Alipour A, Moradkhani H, Demirel MC. A comparative assessment of projected meteorological and hydrological droughts: Elucidating the role of temperature. Journal of Hydrology. 2017; 553: 785-797.
[4].Li X, Ju H, Garré S, Yan C, Liu Q. Spatiotemporal variation of drought characteristics in the Huang-Huai-Hai Plain, China under the climate change scenario. Journal of Integrative Agriculture. 2017; 16(10): 2308-2322.
[5].Golmohammadi M, Massah Bavani A. The Perusal of Climate Change Impact on Drought Intensity and Duration. Journal of water and soil. 2011; 25(2): 326-315. (Persian)
[6].Khashei A, Shahidi A, Pourrezabilondi M, Amirabadizadeh M, jafarzadeh A. Performance Assessment of ANN and SVR for downscaling of daily rainfall in dry regions. Iranian Journal of Soil and Water Research. 2018; 49(4): 781-793. (Persian)
[7].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.
[8].Mirdashtovan M, Malekian A, Mohseni Saravi M. Stream flow simulation using statistical downscaling of climatic data: Urmia Lake Basin. Iranian Journal of Eco hydrology. 2018; 5 (2): 419-431. (Persian).
[9].Sadat Mousavi R, Marofi S. Investigation of the hydrologic response of river flow to climate change (Case study: Dez Dam Basin). Journal of Water and soil conservation. 2017; 23(6): 333-348. (Persian)
[10].Sanikhani H, Gohardoust MR, Sadeghi M. The Impacts of Climate Change on Runoff of Ghareh-Chay Basin in Markazi Province, Iran. Journal of Watershed Management Research. 2016; 13(7), 12-22. (Persian)
[11].Sadeghi SH, Ghasemieh H, Sadatinegad SJ. Performance Evaluation of the IHACRES Hydrological Model in Wet Areas (Case Study: Navrud Basin, Gillan). Journal of Water and Soil Science. Journal of Hydrology and Soil Science. 2015; 19(73): 73-82. (Persian)
[12].Chen J, Xia J, Zhao C, Zhang Sh, Fu G, Ning L. The mechanism and scenarios of how mean annual runoff varies with climate change in Asian monsoon areas. Journal of Hydrology. 2014; 517: 595-606.
[13].Nkomozepi T, Chung SO. The effects of climate change on the water resources of the Geumho River Basin, Republic of Korea. Journal of Hydro-environment Research. 2014; 8(4): 358-366.
[14].Al-Safi HIJ, Sarukkalige PR. The application of conceptual modelling to assess the impacts of future climate change on the hydrological response of the Harvey River catchment. Journal of Hydro-environment Research. 2020; 28(1): 22-33.
[15].Arora VK, Scinocca JF, Boer GJ, Christian JR, Denman KL, Flato GM, et al. Carbon emission limits required to satisfy future representative concentration pathways of greenhouse gases. Geophysical Research Letters. 2011; 38(5): 1-6.
[16].IPCC. Climate Change: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth. 2014.
[17].Huang HL, Chang FL. ESVM: Evolutionary support vector machine for automatic feature selection and classification of microarray data, Bio systems. 2007; 90(2): 516-528.
[18].McKee TB, Doesken NJ, Kleist J. The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology. Boston, MA: American Meteorological Society. 1993; 17( 22): 179-183.
[19].Goodarzi M, Motamed Vaziri B, Mirhosseini M. Assessment of IHACRES Model in Surface Run-off Simulation in Climate Change Status (Case Study: Kan Basin). Iran-Watershed Management Science & Engineering. 2017; 38(11): 83-94. (Persian)
[20].Littlewood IG, Clarke RT, Collischonn W, Croke BF. Predicting daily stream flow using rainfall forecasts, a simple loss module and unit hydrographs: Two Brazilian catchments. Environmental Modelling & Software. 2007; 22(9): 1229-1239.
Volume 7, Issue 2
July 2020
Pages 291-302
  • Receive Date: 06 August 2019
  • Revise Date: 09 March 2020
  • Accept Date: 09 March 2020
  • First Publish Date: 21 June 2020