Desert Ecosystem Engineering Journal

Desert Ecosystem Engineering Journal

Drought Trend Assessment in Riverheads of Karkheh and Dez Basins based on Streamflow Drought Index (SDI)

Document Type : Original Article

Authors
HASSAN KHOSRAVI 1
Hadi Eskandari Dameneh 2
Hamed Eskandari Dameneh 3
Moslem Borji 4
Sara Nakhaee Nejadfard 2
1 Faculty of Natural Resources, University of Tehran
2 PhD Student of Combating Desertification, Hormozgan University
3 PhD Student of Combating Desertification, University of Tehran
4 PhD in Watershed Management, Faculty of Natural Resources, University of Tehran, Iran
10.22052/jdee.2018.101087.1019
Abstract
This paper focused on the phenomenon of drought defined by the streamflow drought index (SDI) at hydrometric stations in riverheads of Karkheh and Dez Basins in Lorestan province. For this purpose, the monthly discharge data from 21 hydrometric stations were used over the period 1975-2011. The Mann-Kendall and Sen's Estimate methods were applied to explore the trends in the time series of 12 months. The results showed that detection of the drought trend has been almost the same in both methods. So that 70% and 100% of stations in Karkheh dam had significant trend based on Mann-Kendall method and Sen's Estimate Approach, respectively. But this amounts in Dez dam for Mann-Kendall and Sen's Estimate methods were 58% and 78% respectively. The stations of Dare Takht (Marbareh), Dorud (Tire) and Dorud (Marbareh) in Dez dam basin suffered from the highest intensity trend of hydrological drought. The stations of Doab (Vesseyan), Horo (Kaka Reza) and Tang Syab in Karkhe dam basin also had the highest intensity of hydrological drought. Based on these results, Karkheh dam has spent more severity and a long time of water deficit in recent years. According to the position and distribution of the stations in the study area this two studied dams have a special spatial trend.
Keywords
Drought
Mann-Kendall
Sen’s Estimate
Trend
SDI
Subjects
  1. Amiri M J, Karbasi A, Zoghi M, Sadat M. Detection of Climate Change by Analyzing the Kendal Graphic Test and Drought Indicators (Case Study: Aggelagh Hamedan wetland Margin). Ecology, 2015; 41 (3): 545-561
  2. Azimi Hosseini M, Application of Goghrafical Information System in Drought Zonation, Gematic Conference, September, Tehran 2008.
  3. Dupigny‐Giroux LA. Towards Characterizing And Planning For Drought In Vermont‐Part I: A Climatological Perspectwe 1. Jawra Journal of the American Water Resources Association. 2001; 37(3):505-25.
  4. Fathabadi A, Gholami H, Salajeghe A, Azanivand H, Khosravi H., Drought forecasting using neural network and stochastic models. Advances in Natural and Applied Sciences. 2009; 3(2), 137-146.
  5. Fathian F, Morid S, Trend Analysis of Meteorological and Hydrological Variables in Urmia Lake Basin by use of Non-Parametric Methods, Iranian Journal of Soil and Water Research, 2012; 43(3): 259-269.
  6. Maroofi S, Tabari H., Detecting the trends in discharge of the Maroon river by using parametric and nonparametric methods. Geographical Research, 2.Cagatay K., 2007. Trends in drought patterns of Turkey, Journal of Environment Engineering Science. 2011; 6(1): 45-52.
  7. Rahimi N, Arian M, Ghorashi M. Active Tectonics of the Saymareh-Karkheh River Basin (Northwest of Persian Gulf, Iran). Open Journal of Marine Science. 2017; 7(02):238.
  8. Heim R R., A review of twentieth-century drought indices used in the United States, Bulletin of the American Meteorological Society. 2002; 83(8):1149-1165.          
  9. Kendall M G., Rank Correlation Methods, Oxford Univ, Press New York. 1975
  10. Eskandari Damaneh H, Zahtabian GH, Khosravi H, Azareh A. Investigation and analysis of temporal and spatial relationship between meteorological and hydrological droughts in Tehran province. Quarterly Journal of Geographic Information "Sepehr",2016; 24 (96) : 113-120.
  11. Kousari MR, Dastorani MT, Niazi Y, Soheili E, Hayatzadeh M, Chezgi J. Trend detection of drought in arid and semi-arid regions of Iran based on implementation of reconnaissance drought index (RDI) and application of non-parametrical statistical method. Water resources management. 2014 1; 28(7):1857-72.
  12. Kwon HJ, Kim SJ. Assessment of distributed hydrological drought based on hydrological unit map using SWSI drought index in South Korea. KSCE Journal of Civil Engineering. 2010; 14(6):923-9.
  13. Liu L, Hong Y, Bednarczyk CN, Yong B, Shafer MA, Riley R, Hocker JE. Hydro-climatological drought analyses and projections using meteorological and hydrological drought indices: a case study in Blue River Basin, Oklahoma. Water resources management. 2012; 26(10):2761-79.
  14. Malek N H, Soleim Motlagh M, Jayderi A, Shater abshouri S. Analysis of the trend of rainfall and drought changes using Man-Kendall and Sen Tests in Tehran province. Nivar, 1392; 37 (81-80): 43-54.
  15. Mann HB. Nonparametric tests against trend. Econometrica: Journal of the Econometric Society. 1945; 1:245-59..
  16. Mishra AK, Singh VP. A review of drought concepts. Journal of hydrology. 2010; 391(1-2):202-16.
  17. Nalbantis I., Evaluation of a hydrological drought index. European Water. 2008; 23(24):67-77.
  18. Nalbantis I., Tsakiris G. Assessment of hydrological drought revisited. Water Resources Management. 2009; 23(5):881-97.     
  19. Pandey RP, Mishra SK, Singh R, Ramasastri KS. Streamflow drought severity analysis of Betwa river system (India). Water resources management. 2008; 22(8):1127-41.
  20. Sen PK.. Estimates of the regression coefficient based on Kendall’s tau. Journal of the American statistical association. 1968; 63(324):1379-89..
  21. S Smakhtin VU. Low flow hydrology: a review. Journal of hydrology. 2001; 240(3-4):147-86.
  22. Tabari H, Nikbakht J, Talaee PH. Hydrological drought assessment in Northwestern Iran based on streamflow drought index (SDI). Water resources management. 2013; 27(1):137-51.           
  23. Tallaksen LM, Van Lanen HA, editors. Hydrological drought: processes and estimation methods for streamflow and groundwater. Elsevier; 2004.
  24. Tate EL, Gustard A. Drought definition: a hydrological perspective. InDrought and drought mitigation in Europe 2000; (pp. 23-48). Springer, Dordrecht.
  25. Thiel H., A rank-invariant method of linear and polynomial regression analysis, Part 3. InProceedings of Koninalijke Nederlandse Akademie van Weinenschatpen A 1950; 53: 1397-1412.
  26. Vicente-Serrano SM, López-Moreno JI, Beguería S, Lorenzo-Lacruz J, Azorin-Molina C, Morán-Tejeda E. Accurate computation of a streamflow drought index. Journal of Hydrologic Engineering. 2011; 17(2):318-32.     
  27. Wu H, Soh LK, Samal A, Chen XH. Trend analysis of streamflow drought events in Nebraska. Water Resources Management. 2008; 22(2):145-64.
  28. Yazdi Sheikh VB, Bahremand A, Mooshakhian Y. A Comparison of Trends in Hydrologic Variables in the Atrak River Basin Using Non-parametric Trend Analysis Tests 2011; 1-21.
  29. Zehtabian G, Karimi K, Mirdashtvan M, Khosravi H. ComparabilityAnalyses of the SPI and RDI Meteorological Drought Indices in South Khorasan Province in Iran. International Journal of Advanced Biological and Biomedical Research. 2013; 1(9): 981-992.

 

 

 

 

 

Desert Ecosystem Engineering Journal
Volume 1, Issue 2
2018
Pages 45-54