Projection of Precipitation and its Variability under the Climate Change Conditions in the Future Periods (Case Study: Tabriz)

Sadeqi, Amin; Dinpashoh, Yagob

doi:10.22034/jewe.2020.210941.1339

Document Type : Research Paper

Authors

Amin Sadeqi ¹
Yagob Dinpashoh ²

¹ M.Sc., Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran

² Assoc. Professor, Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran

https://doi.org/10.22034/jewe.2020.210941.1339

Abstract

In this research, projection of precipitation in the three distinct 20-years future periods (i.e. 2021-2040, 2041-2060, and 2061-2080) was performed using the LARS-WG6 statistical downscaling model. For this purpose, two scenarios of the IPCC fifth assessment report (namely RCP4.5 and RCP8.5) and MPI-ESM-MR general circulation model, which is known to be a CMIP5 coupled models were utilized. The precipitation trends were analyzed in the base and future periods using the Mann-Kendall method for both seasonal and annual time scales. Sen’s estimator method was used to estimate the slopes of trend lines. The results showed that winter precipitation will be increased during the three considered future periods. Moreover, in the spring and autumn, according to the RCP8.5 scenario, precipitation will be decreased in all future periods. The precipitation in December and January would be increased in all three future periods using both scenarios. March, July, September, and October will also experience a decline in precipitation in the three future periods, according to both scenarios. The mean annual precipitation in the future period of 2061-2080 would be decreased based on both scenarios. The highest reduction in precipitation would occur in the period 2061-2080 belonged to the RCP8.5 scenario in which the amount of reduction in mean annual precipitation is equal to 10.4%. In addition, based on the RCP4.5 scenario, the highest increase in the average annual precipitation during the future period of 2041-2060 was equal to 8.1%. There was no significant trend in precipitation series at 5% level. The slope of the trend lines in the base period and the future periods, based on the scenario RCP8.5, was found to be negative in all seasons. While in the future period, based on the RCP4.5 scenario, the trend line slope was positive for in all seasons.

Keywords

Main Subjects

water resource management

References

Asakereh H. and Akbarzadeh Y. (2017). Simulation of temperature and precipitation changes of Tabriz synoptic station using statistical Downscaling and Canesm2 climate change model output. Geogr. Environ. Hazard., 23, 153-174 [In Persian].

Baule W., Allred B., Frankenberger J., Gamble D., Andresen J., Gunn K. M. and Brown L. (2017). Northwest Ohio crop yield benefits of water capture and subirrigation based on future climate change projections. Agri. Water Manage., 189, 87-97.‏

Chen H., Guo, J, Zhnag Z. and Xu, C. Y. (2013). Prediction of temperature and precipitation in Sudan and South Sudan by using LARS-WG in future. Theor. Appl. Climatol., 113, 363-375.

Golmohammdi M. and Masshah Bavani A. (2011). The persual of climate change impact on drought intensity and duration. J. Water Soil, 25, 315-326 [In Persian].

Hamidianpour M., Baaghideh M. and Abbasnia M. (2016). Assessment of the Precipitation and temperature changes over south east iran using downscaling of general circulation models outputs. Phys. Geogr. Res. Quart., 48(1), 15-17 [In Persian].

Hannah L. (2015). The climate system and climate change. climate change biology (Second Edition). Academic Press, Boston, 13-53.

IPCC (2014). Climate change: impacts, adaptation, and vulnerability. Summaries, frequently asked questions, and cross-chapter boxes. Working Group II Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press.

Mohammadlou M., Haghizadeh A., Zeinivand H. and Tahmasebipour N. (2014). Evaluation of climate change on temperature and precipitation trends in Barandozchay watershed, in the West Azerbaijan, using general circulation models (GCM). J. Geogr. Space, 56 (16), 151-168 [In Persian].

Nikbakht Shahbazi, A. (2017). Assessment of climate change impact on precipitation and temperature variation in watershed of Karoon 3 Dam. J. Environ. Water Eng., 3(2), 133 – 143 [In Persian].

Parajuli P., Jayakodi P., Sassenrath G. and Ouyang Y. (2016). Assessing the impacts of climate change and tillage practices on stream flow, crop and sediment yields from the Mississippi River Basin. Agri. Water Manage., 168, 112-124.

Pinkerton K. E. and Rom W. N. (2016). Global climate change and public health, Springer.

Rajbhandari R., Shreshta A. B., Nepal S., Wahid S. and Ren G. Y. (2017). Extreme climate projections over the transboundary Koshi River Basin using a high resolution regional climate model. Adv. Clim. Chang. Res., 8(3), 199-211.‏

Rajsekhar D. and Gorelick S. M. (2017). Increasing drought in Jordan: climate change and cascading Syrian land-use impacts on reducing transboundary flow. Sci. Adv., 3(8), e1700581, 1-15.‏

Sadeqi A., Dinpashoh Y. and Zarghami M. (2019). Projection and spatial analysis of agroclimatic indices in Ghezel Ozan River Basin during the growing season. J. Water Soil Resour. Conserv., 8(4), 162-139 [In Persian].

Sanikhani H., Kishi O. and Amirataee B. (2018). Impact of climate change on runoff in Lake Urmia basin, Iran. Theor. Appl. Climatol., 132, 491-502.

Sharma B. (2016). Outcomes of the UN climate change conference in Paris. Pacific Inst Management Pacific Hills, Pratap Nagar Extention, Airport Rd, Udaipur, Rajasthan, 313 001, India.

Stevens T. and Madani K. (2016). Future climate impacts on maize farming and food security in Malawi. Sci. Rep., 6, 36241.

Wang Z., Lin L., Zhang X., Zhang H., Liu L. and Xu Y. (2017). Scenario dependence of future changes in climate extremes under 1.5° C and 2°C global warming. Sci. Reports, DOI: 10.1038/srep46432.‏

Zareabyaneh H., Ghobaeisoogh M. and Mosaedi A. (2016). Drought monitoring based on Standardized Precipitation Evaoptranspiration Index (SPEI) under the effect of climate change. J. Water Soil, 29, 374-392 [In Persian].

Zareian M. J., Eslamian S. and Safavi H. R. (2015). A modified regionalization weighting approach for climate change impact assessment at watershed scale. Theor. Appl. Climatology, 122, 497-516.

Zarghami, M. Abdi, A. Babaeian, I. Hassanzadeh, Y. and Kavani, R. (2011). Impacts of climate change on runoffs in East Azerbaijan, Iran. Global Planetary Change, 78, 137-146.

Zarghami M., Y. Hassanzadeh, Babaeian I. and Kanani R. (2009). Climate change and water resources vulnerability: Case study of Tabriz City. SENSE symposium on climate proofing cities, Amsterdam/Volendam.

Environment and Water Engineering

Projection of Precipitation and its Variability under the Climate Change Conditions in the Future Periods (Case Study: Tabriz)

References

References

Volume 5, Issue 4
December 2019
Pages 339-350

Projection of Precipitation and its Variability under the Climate Change Conditions in the Future Periods (Case Study: Tabriz)

References

References

Volume 5, Issue 4December 2019Pages 339-350

Volume 5, Issue 4
December 2019
Pages 339-350