Evaluation of 30 Years changing of River Flow Discharges in Urmia Lake Basin

Document Type : Original Article

Authors

1 Young Researchers and Elite Club, Urmia Branch, Islamic Azad University, Urmia, Iran

2 Assistant Professor, Water Engineering Department, Faculty of Agricultural, Urmia University. Iran

Abstract

Changes in the amount and distribution of flow discharge are a remarkable manifestation of climate change. Reducing or increasing the amount of flow discharge affects many other climatic and environmental phenomena such as runoff, flood, humidity and also affect many human activities such as agriculture, economics, the fight against soil erosion and so on. In this study, the trend of river flow discharge in the Urmia lake basin was investigated in two annual and monthly scales using modified non-parametric Mann-Kendall test (MMK) with complete removal of the self-correlation structure. In this study, 26 hydrometric stations were surveyed in the Urmia Lake basin during the statistical period of 1984-1984. Also, a non-parametric Pettett test was used to determine the time of change in flow trend. The results of the study of the trend of the studied stations at the Urmia lake basin showed that the course of the changes in the flow of water is decreasing in most months. On a yearly scale, at all stations, there was a trend of decreasing flow at the basin level. Also, the trend of flow discharge decline is more intense in both autumn and winter. The time of change in the decreasing trend of the flow discharge in the Urmia Lake basin was also taking place between 1994 and 1998. With evaluation the time of changing in the trend of the Urmia Lake water level and its hydrometric stations found that the decreasing trend of Urmia Lake water level data occurred one year after the decreasing trend in flow data.

Keywords

References

 
Abeysingha,N.S., Singh,M., Sehgal,V.K., Khanna,M., Pathak,H. 2016. Analysis of trends in streamflow and its linkages with rainfall and anthropogenic factors in Gomti River basin of North India, Theoretical and applied climatology. 123.3-4: 785-799.
Abghari,H., Tabari,H., Hosseinzadeh Talaee,P. 2013. River flow trends in the west of Iran during the past 40 years: impact of precipitation variability. Glob Planet Change. 101:52–60.
Déry,S.J, Stieglitz,M., McKenna,E.C., Wood,E.F. 2005. Characteristics and trends of river discharge into Hudson, James, and Ungava bays, 1964–2000, Journal of Climate. 18:2540-2557.
Dixon,H., Lawler,D.M., Shamseldin,A.Y. 2006. Streamflow trends inwest-ern Britain, Geophysical Research Letters. 32.19:1-7.
Fathian,F., Morid,S., Kahya,E. 2015. Identification of trends in hydrological and climatic variables in Urmia Lake basin, Iran. Theoretical and Applied Climatology. 119.3-4: 443-464.
Gan,T. 2000. Reducing vulnerability of water resources of Canadian prairies to potential droughts and possible climatic warming. Water Resources Management.14:111-135.
Kendall,M.G. 1975. Rank Correlation Measures, Charles Griffin, London.
Khalili,K., NazeriTahrudi,M., Khanmohammadi,N. 2014. Trend Analysis of Precipitation in Recent two Decades over Iran. Journal of Applied Environmental and Biological Sciences. 4(1s): 5-10.
Khalili,K., Tahoudi,M.N., Mirabbasi,R., Ahmadi,F. 2016. Investigation of spatial and temporal variability of precipitation in Iran over the last half century, Stochastic Environmental Research and Risk Assessment. 30:1205-1221.
Kousari,M.R., Ahani,H., Hendi-Zadeh,R. 2013. Temporal and spatial trend detection of maximum air temperature in Iran during 1960-2005, Global and Planetary Change. 111: 97-110.
Kumar,S., Merwade,V., Kam,J., Thurner,K. 2009. Stream flow trends in Indiana: Effects of long term persistence, precipitation and subsurface drains. Journal of Hydrology. 374: 171-183.
Lins,H.F., Slack,J.R. 2005. Seasonal and regional characteristics of US streamflow trends in the United States from 1940 to 1999, Physical Geography. 26.6: 489-501.
Mann,H.B. 1945. Nonparametric test against trend, Econometrica. 13: 245-259.
Pettitt,A.N. 1979. A non-parametric approach to the change-point problem. Applied statistics. 126-135.
Saboohi,R., Soltani,S., Khodagholi,M. 2012. Trend analysis of temperature parameters in Iran. Theoretical and Applied Climatology. 109:529–547.
Sen,P.K. 1968. Estimates of the regression coefficient based on Kendall’s tau. Journal of American Statistical Association. 63:1379-1389.
Stojković,M.A,, Prohaska,S., Plavšić, J. 2014. Multi-temporal analysis of mean annual and seasonal stream flow trends, including period-icity and multiple non-linear regression. Water Resources Management. 28:4319-4335
Tabari,H., Hosseinzadeh-Talaee,P. 2011. Recent trends of mean maximum and minimum air temperatures in the western half of Iran. Journal of Meteorological Atmosphere Physics. 111: 121–131.
Tao,H., Gemmer,M., Bai,Y., Su,B., Mao,W. 2011. Trends of streamflow in the Tarim River Basin during the past 50years: Human impact or climate change?. Journal of hydrology. 400.1: 1-9.
Thiel,H. 1950. A rank-invariant method of linear and polynomial analy-sis, part 3. Nederlandse Akademie van Wettenschappen, Proceedings 53:1397-1412.
Yang,C., Lin,Z., Yu,Z., Hao,Z., Liu,S. 2010. Analysis and simulation of human activity impact on streamflow in the Huaihe River basin with a large-scale hydrologic model. Journal of Hydrometeorology.11.3: 810-821.
Zamani,R., Mirabbasi,R., Nazeri,M., Gajbhiye Meshram,S., Ahmadi,F. 2018. Spatio-temporal analysis of daily, seasonal and annual precipitation concentration in Jharkhand state, India. Stochastic Environmental Research and Risk Assessment. 32.4: 1085-1097.
Zarenistanak,M., Dhorde,A.G., Kripalani,R.H. 2014. Temperature analysis over southwest Iran: trends and projections. Theoretical and Applied Climatology. 116: 103-117.
Iranian Journal of Irrigation & Drainage
Volume 12, Issue 2 - Serial Number 68
July and August 2018
Pages 424-433

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