Shift changes and heterogeneity analysis of hydro-climatic variables (A case study: Aji Chai Watershed)

Document Type : Research Article

Authors

1 -Ph.D Student of Watershed Hydrology, Faculty of Natural Resources, University of Tehran

2 Associate Professor, Faculty of Natural Resources, University of Tehran

Abstract

Shift changes and heterogeneity analyses of hydro-climatic variables is very important in water resources planning and management. In order to shift changes and heterogeneity analyses of Tmin and Tmax, precipitation and discharge, 2, 7 and 7 stations was used over the 40 years (1972-2011), respectively. The results of annual Tmin and Tmax series showed that both of two stations had the significant increasing trend in 1 significance level. The results of precipitation showed no specific spatio-temporal trend in four last decades and identifying the exact pattern of changes was difficult in compared with other variables. Among 7 hydrometric stations, 5 stations showed the significant increasing trend. However, discharge had the most decreasing trend among the studding variables. Shift changes analyses of hydro-climatic variables by four heterogeneity tests, generally indicated the 50.5 percent of Tmax series, 62.5 percent of Tmin series, 26.25 percent of precipitation series and 45 percent of discharge series had heterogeneity in 95% confidence level in the studding stations. Studding shift changes in Tmin and Tmax series showed that all of the changes were positive/ or increasing. In compare with temperature series, shift changes of precipitation as same as its trend have no specific trend. In general, temporally all of the changes occurred in 1990s.
 

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Main Subjects

References

[1]-    Azari1 M, Moradi HR, Saghafian B, Faramarzi M. Assessment of Hydrological Effects of Climate Change in Gourganroud River Basin. Journal of Water and Soil. 2013; 27(3); 537-547.
[2]-    Abdul Aziz O I, Burn D H. Trends and variability in the hydrological regime of the Mackenzie River Basin. Journal of Hydrology. 2006; 319; 282-294.
[3]-    IPCC: Intergovernmental Panel on Climate Change, (IPCC), Climate Change 2007- Synthesis Report of the Forth Assessment Report. 2007.
[4]-    Wong H, Hu B Q, Ip W C, Xia J. Change-point analysis of hydrological time series using grey relational method. Journal of Hydrology. 2006; 324; 323-338.
[5]-    Teleab D, Mohamed Y, Uhlenbrook S. Hydro-climatic trends in the Abay/Upper Blue Nile basin, Ethiopia. Physics and Chemistry of the Earth. 2013; 61-62; 32-42.
[6]-    del Rio S, Anjum Iqbal M, Cano-Ortiz A, Herrero L, Hassan A, Penas A. Recent mean temperature trends in Pakistan and links with teleconnection patterns. Int. J. Climatol. 2013; 33; 277–290.
[7]-    Abghari H, Tabari H, Hosseinzadeh Talaee P. River flow trends in the west of Iran during the past 40 years: Impact of precipitation variability. Global and Planetary Change. 2013; 101; 52–60.
[8]-    Kazemzadeh M, Malekian A, Rasoulzadeh A. River flow trend analysis based on the parametric and nonparametric approaches in Ardebil province. Erath Science Reaserch. 2014: 4(15); 51-63.
[9]-    Fathian F, Morid M, Kahya E. Identification of trends in hydrological and climatic variables in Urmia Lake basin, Iran. Theor Appl Climatol. 2014; 14; 1120-40.
[10]-  Hosseinzadeh Talaee P, Kouchakzadeh M, Shifteh Some’e B. Homogeneity analysis of precipitation series in Iran. Theor Appl Climatol. 2013.
[11]-  Mann H B. Non-parametric tests against trend. Econometrica. 1945; 13; 245–259.
[12]-  Kendall M G. Rank Correlation Measures, Charles Griffin. London. 1975.
[13]-  Hojam S, Khoshkhoo Y, Shamsadin Vandi Y. Annual And Seasonal Precipitation Trend Analysis of Some Selective Meteorological Stations In Central Region of Iran Using Non-Poarametric Methods. Geoghraphic Research. 2008; 64; 157-168.
[14]-  Karpouzos D K, Kavalieratou S, Babajimopoulos C. Nonparametric trend analysis of precipitation data in Pieria Region (Greece). European Water. 2010; 30; 31-40. 12
[15]-  Sen P K. Estimates of the regression coefficient based on Kendall's tau. Journal of the American Statistical Association. 1968; 39; 1379 –1389.
[16]-  Theil H. A rank-invariant method of linear and polynomial regression analysis Part 3. Proceedings of Koninalijke Nederlandse Akademie van Weinenschatpen A53. 1950; 1397-1412.
[17]-  Von Neumann J: Distribution of the ratio of the mean square successive difference to the variance. Ann Math Stat. 1941: 13: 367–395.
[18]-  Bingham C, Nelson L S. An approximation for the distribution of the Von Neumann ratio. Technometrics. 1981; 23; 285–288.
[19]-  Buishand T A. Some methods for testing the homogeneity of rainfall records. Journal of Hydrology. 1982; 58; 11-27.
[20]-  Alexandersson H: A homogeneity test applied to precipitation data. Journal of Climate. 1986; 6; 661–675.
[21]-  Pettit A N. A non-parametric approach to the change-point detection. Applied Statistics. 1979; 28; 126–135.
[22]-  Kousari M R, Ekhtesasi M R, Tazeh M, Saremi Naeini M A, Asadi Zarch M A. An investigation of the Iranian climatic changes by considering the precipitation, temperature, and relative humidity parameters. Theor Appl Climatol. 2011; 103; 321–335.
Iranian journal of Ecohydrology
Volume 4, Issue 1
March 2017
Pages 163-175

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History

  • Receive Date: 04 December 2016
  • Revise Date: 10 January 2017
  • Accept Date: 16 January 2017
  • First Publish Date: 21 March 2017
  • Publish Date: 21 March 2017

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