Investigation the effect of climate change scenarios on the monthly flow discharge at the outlet of Gelevard Dam

Document Type : Complete scientific research article

Authors

1 Associate Professor, Water Engineering Department, Sari Agricultural Sciences and Natural Resources University

2 Assistant Professor, Water Engineering Department, Sari Agricultural Sciences and Natural Resources University

Abstract

Background and Objectives: In recent years, hydrological models such as the SWAT model have been widely used by managers and hydrologists as a tool to identify natural and human activities affecting the basin hydrological system and their management and planning. As the eastern plains of Mazandaran is the only forbidden groundwater harvesting area in the north of the country, thus, with accurate prediction of inflow to the Gelevard dam for future periods, can provide accurate planning for downstream water supplies and manage demand for water and agricultural development. Therefore, the purpose of this study was to investigate the effect of climate change on the fluctuations of the flow discharge of Gelevard Dam in the east of Mazandaran province.
Materials and Methods: In this study, HadGEM2 and EC-Earth models were used to produce the minimum and maximum temperature and precipitation data for the period of 2021-4040 using a combination of Berma station data and global data at the Gelevard Dam. The LARS-WG6 model was used to fine-tune this data. Also, the Mann-Kendall and Sen Gradient tests were used to study the trend of climate parameters. Then, the data were entered to the SWAT model which was calibrated using local data and information (from 1984 to 2010 for calibration and 2011 to 2014 for validation) and the runoff changes were evaluated. The accuracy of the SWAT model in simulation of the output current was evaluated using evaluation indexes.
Results: The results showed that the climate change had negative effects on the climate of the Gelevard dam area which increased the minimum and maximum temperatures by 1.40 and 2.40 °C, respectively. The SWAT model appropriately simulated the time of peak discharge and the peak discharge values so that it corresponds to the time of high rainfall event. Comparison of the effects of precipitation and the minimum and maximum temperatures on the outflow indicates that the effects of temperature are more than the precipitation, so that in the basic period, the minimum temperature is equal to 1.41 and the maximum temperature is 2.34. Also, the changes of monthly mean discharges in RCP4.5 (-0.01) and RCP8.5 (-0.11) scenarios are lower than the observed discharges (-0.16) and the output discharge is reduced in the hot months of the year. With investigation of the percentage of difference between maximum and minimum temperature and rainfall under RCP4.5 and RCP8.5 scenarios compared to the base period found that increasing of temperature caused more reduction in outflow rate in the future period. So that the effect of climate change on rainfall-runoff process reduced the water resources of Gelevard dam by 13%. The results of sensitivity analysis showed that soil evaporation coefficient, average length (slope), mean air temperature for snowfall (degree Celsius) and curve number in moisture conditions had the most effect on the output discharge.
Conclusion: The results, irrespective of the changes in each component, indicate the importance of the temporal pattern of changes throughout the year which has an important role in the water resources management of the basin. The results of the present study, emphasize the importance of potential effects of climate change at basin hydrology status, highlights the climate change and implications in the management of water resources in the Gelevard Dam.

Keywords


1.Abbaspour, K. 2015. SWAT Calibration and Uncertainty Programs-A User Manual. Swiss Federal Institute of Aquatic Science and Technology: Eawag, Switzerland. 100p.
2.Abbaspour, K.C. 2011. SWAT-CUP4: SWAT calibration and uncertainty programs–a user manual. Swiss Federal Institute of Aquatic Science and Technology, Eawag. 100p.
3.Aghakhani, M., Nasrabadi, T., and Nejad, A.V. 2019. Hydrological Simulation of Taleqan Watershed Using SWAT. Environmental Science and Technology, 21: 147-159.
4.Andreadis, K.M., and Lettenmaier, D.P. 2006. Trends in 20th century drought over the continental United States. Geophysical Research Letters, 33: 3. 1-4.
5.Arnold, J. 1994. SWAT-soil and water assessment tool. 506p.
6.Bahri, M., and Zahedi, E. 2016. Investigation of climate change impacts on streamflow regime of a river Arazkooseh river basin. Sci. J. Manage. Syst. 16: 42. 109-132.
7.Bavay, M., Grünewald, T., and Lehning, M. 2013. Response of snow cover and runoff to climate change in high Alpine catchments of Eastern Switzerland. Advances in Water Resources, 55: 4-16.
8.Bieger, K., Hörmann, G., and Fohrer, N. 2015. Detailed spatial analysis of SWAT-simulated surface runoff and sediment yield in a mountainous watershed in China. Hydrol. Sci. J. 60: 5. 784-800.
9.Cheng, C., Yang, Y.E., Ryan, R., Yu, Q., and Brabec, E. 2017. Assessing climate change-induced flooding mitigation for adaptation in Boston’s Charles River watershed, USA. Landscape and Urban Planning, 167: 25-36.
10.Fazeli Farsani, A., and Ghazavi, R. 2019. Investigating the effects of land use change on surface runoff using SWAT model. J. Water Soil Cons. 25: 6. 191-206. (In Persian)
11.Fu, G., Barber, M.E., and Chen, S. 2007. Impacts of climate change on regional hydrological regimes in the Spokane River Watershed. J. Hydrol. Engin.12: 5. 452-461.
12.Golshan, M., Kavian, A., Ruohani, H., and Esmali Ouri, A. 2015. Effect of Scale on SWAT Model Performance in Simulation of Runoff (Case Study: Haraz Catchment in Mazandaran Province). Iran. J. Soil Water Res. 46: 2. 293-303. (In Persian)
13.Gosain, A., Rao, S., and Basuray, D. 2006. Climate change impact assessment on hydrology of Indian river basins. Current Science, 90: 3. 346-353.
14.Hajihoseini, H., Hajihosseini, M., Najafi, A., Morid, S., and Delavar, M. 2015. Assessment of changes in hydro-meteorological variables upstream of Helmand Basin during the last century using CRU data and SWAT model. Iran-Water Resources Research, 10: 3. 38-52. (In Persian)
15.Higgins, R., Kousky, V., Silva, V., Becker, E., and Xie, P. 2010. Intercomparison of daily precipitation statistics over the United States in observations and in NCEP reanalysis products. J. Clim. 23: 17. 4637-4650.
16.Hoang, L.P., Lauri, H., Kummu, M., Koponen, J., Van Vliet, M., Supit, I., Leemans, R., Kabat, P., and Ludwig, F. 2016. Mekong River flow and hydrological extremes under climate change. Hydrology and Earth System Sciences, 20: 3027-3041.
17.Jalali, M.N., Sarai Tabrizi, M., and Babazadeh, H. 2020. Investigating the effect of climate change on water flow and water balance of Latyan dam using SWAT model. Iran. J. Ecohydrol.
7: 1. 17-28. (In Persian)
18.Kahya, E., and Kalaycı, S. 2004. Trend analysis of streamflow in Turkey. J. Hydrol. 289: 1. 128-144.
19.Kalcic, M.M., Chaubey, I., and Frankenberger, J. 2015. Defining Soil and Water Assessment Tool (SWAT) hydrologic response units (HRUs) by field boundaries. Inter. J. Agric. Biol. Engin. 8: 3. 69-80.
20.Kavian, A., Namdar, M., Golshan, M., and Bahri, M. 2017. Hydrological modeling of climate changes impact on flow discharge in Haraz river basin. J. Natur. Environ. Hazard. 6: 89-104.
(In Persian)
21.Kord Rostami, F., Pedram, A., Omid Bozorg, H., Vahid, E., Karim, A., and Ralf, L. 2020. Evaluation of hydrological response of Latian Dam watershed to afforestation in semi-arid climate. Iran. J. For. 12: 1. 89-100.(In Persian)
22.Malkian, A., Mirdashtvan, M., and Ghadimi, M. 2019. Investigating the impacts of climate change on some hydrological characteristics of water resources in Ardebil province. Iran. J. Ecohydrol. 6: 6. 695-705. (In Persian)
23.Massah Bavani, A., and Mord. S. 2006. Study effects of climate change on zayande rood discharge. J. Water Soil Sci. 17: 47-27. (In Persian)
24.Mohammed, I.N., Bomblies, A., and Wemple, B.C. 2015. The use of CMIP5 data to simulate climate change impacts on flow regime within the Lake Champlain Basin. J. Hydrol: Region. Stud. 3: 160-186.
25.Moss, R., Babiker, M., Brinkman, S., Calvo, E., Carter, T., Edmonds, J., Elgizouli, I., Emori, S., Erda, L., and Hibbard, K. 2008. Towards New Scenarios for Analysis of Emissions. in  Proceedings of the Climate Change, Impacts, and Response Strategies (IPCC Expert Meeting Report, IPCC, Geneva, 2008).
26.Nazari, B., Batoukhteh, F., Mohammadi Ghaleni, M., and Ababaei, B. 2018. The estimation of runoff and sediment volume of in the Geraty sub basin using the SWAT model. J. Water Soil Cons. 25: 4. 321-330. (In Persian)
27.Neitsch, S.L., Arnold, J.G., Kiniry,J.R., and Williams, J.R. 2011. Soiland water assessment tool theoretical documentation version 2009. Texas Water Resources Institute.
28.Nikkhoo Amiri, S., Khoshravesh, M., and Norooz Valashedi, R. 2019. Simulation of outflow time series at shahid Rajaee dam using SWAT model. J. Irrig. Water Engin. 10: 37. 67-81.(In Persian)
29.Patil, A., and Ramsankaran, R. 2017. Improving streamflow simulations and forecasting performance of SWAT model by assimilating remotely sensed soil moisture observations. J. Hydrol. 555: 683-696.
30.Piri, J., Amin, S., Moghaddamnia, A., Keshavarz, A., Han, D., and Remesan, R. 2009. Daily pan evaporation modeling in a hot and dry climate. J. Hydrol. Engin. 14: 8. 803-811.
31.Stager, J.C., and Thill, M. 2010. Climate Change in the Champlain Basin: What natural resource managers can expect and do, The Nature Conservancy. 38p.
32.Wang, J., Ishidaira, H., and Xu, Z. 2012. Effects of climate change and human activities on inflow into the Hoabinh Reservoir in the Red River basin. Procedia Environmental Sciences,13: 1688-1698.
33.Xu, H., and Luo, Y. 2015. Climate change and its impacts on river discharge in two climate regions in China. Hydrology and Earth System Sciences, 19: 4609-4618.