Jahanbakhsh, S., Sari Sarraf, B., Ghafouri Roozbahani, A., Rahimi Bandarabadi, S. (2016). The spatio-temporal analysis of low flow in Karkheh drainage basin. , 8(1), 55-67. doi: 10.22092/ijwmse.2016.105974
Saeed Jahanbakhsh; Behrouz Sari Sarraf; Abdolmohammad Ghafouri Roozbahani; Sima Rahimi Bandarabadi. "The spatio-temporal analysis of low flow in Karkheh drainage basin". , 8, 1, 2016, 55-67. doi: 10.22092/ijwmse.2016.105974
Jahanbakhsh, S., Sari Sarraf, B., Ghafouri Roozbahani, A., Rahimi Bandarabadi, S. (2016). 'The spatio-temporal analysis of low flow in Karkheh drainage basin', , 8(1), pp. 55-67. doi: 10.22092/ijwmse.2016.105974
Jahanbakhsh, S., Sari Sarraf, B., Ghafouri Roozbahani, A., Rahimi Bandarabadi, S. The spatio-temporal analysis of low flow in Karkheh drainage basin. , 2016; 8(1): 55-67. doi: 10.22092/ijwmse.2016.105974

The spatio-temporal analysis of low flow in Karkheh drainage basin

مهندسی و مدیریت آبخیز
Article 5, Volume 8, Issue 1, April 2016, Pages 55-67    PDF (685.7 K)
Document Type: Research Paper
DOI: 10.22092/ijwmse.2016.105974
Authors
Saeed Jahanbakhsh1; Behrouz Sari Sarraf1; Abdolmohammad Ghafouri Roozbahani2; Sima Rahimi Bandarabadi* 3
1Professor, Faculty of Geography and Planning, University of Tabriz, Iran
2Associate Professor, Soil Conservation and Watershed Management Research Institute, Iran
3PhD Student, Faculty of Geography and Planning, University of Tabriz, Iran and Scientific Board, Soil Conservation and Watershed Management Research Institute, Iran
Abstract
Hydrologic drought can be studied in different ways. One of the common methods is the use of low flow indexes. In this study for the purpose of determine of the identity of aspects of low flow, the homogenous zones, the extraction of regional regression models, and finally, the study of low flow trends of Karkheh river basin, applied the data of 13 hydrometric stations during the statistical period of 1960-2000. After qualitative and quantitative controlling and the retrieval of missing data used flow duration curves for indexes such as Q75, Q90 and Q95. Also frequency analysis of 10-day, and 20-day low flows was carried out for indexes such as Q10,5, Q10,50, Q10,100, Q30,5, Q30,50, Q30,100 and some more indexes. Afterwards, some other factors like physiographic, climatic, geologic and vegetation cover were applied as influential parameters in the regional analysis. These factors were used in cluster analysis and stepwise regression estimations. Final step was the trend analysis of times series of the indexes. Results indicate that among the indexes being calculated, Q10,100 and  Q95 had the minimum quantities, whose amounts reduced as the return periods increased. On the hand, the time spans of 1998-1999, 1999-2000, 2000-2001 have undergone severe and long droughts in most of the stations. The review of the spatial distribution of indexes show better conditions of the south-eastern parts of the study area compared to the northern and southern sections in terms of dryness. Results of cluster analysis divided the area into two distinct homogenous units (in 0.01 significant level). In the area No. 1, the elevation factor, in the area No. 2, the drainage density, and in general, the factors such as the mean of area and drainage density have the highest effects. The Spearman statistic, and Mann-Kendall findings also indicate that the low flow in upper basin have negative trend during the statistical period.
Keywords
Hydrologic drought; Karkheh Basin; Low flow index; Regional analysis; trend
References
  1. Durrans, S.R. and S. Tomic. 2001. Comparison of parametric tail estimators for low-flow frequency analysis. Journal of the American Water Resources Association, 37(5): 1203- 1214.
  2. Fleig, A. 2004. Hydrological drought–a comparative study using daily discharge series from around the world. Der Albert-Ludwigs-Universität Freiburg i. Br.
  3. Hisdal, H., B. Clausen, A. Gustard, E. Peters and L.M. Tallaksen. 2004. Developments in Water Science, 48. Amsterdam, Elsevier Science B.V., in press.
  4. Lahha, G. and G. Bloschl. 2007. A national low flow estimation procedure for Austria. International Journal of Hydrology Science, 52(4): 625- 644.
    1. Nosrati, K., S. Eslamian and A. Shahbazi. 2004. Investigation of effect of climate change on hydrological drought. Journal of Agriculture, 6(1): 49-56 (in Persian).
    2. Pyrce, R. 2004. Hydrological low flow indices and their uses. Report of Watershed Science Center, 33 Pages.
    3. Rifai, H.S., S.M. Brock, K.B. Ensor and P.B. Bedient. 2000. Determination of low flow characteristics for Texas streams. Journal of Water Resources Planning and Management, 126(5): 310-319.
    4. Rivera-Ramirez, H.D., G.S. Warner and F.N. Scatena. 2002. Prediction of master recession curves and base flow recessions in the Luquillo mountains of Puerto Rico. Journal of the American Water Resources  Association, 38: 693-704.
    5. Sarhadi, A., S. Soltani and R. Modarres.  2007. Regional low flow frequency distribution in Jiroft area by L-moments. Iranian Water Research Journal, 2(3): 45-54 (in Persian).

10. Samiee, M., M. Mahdavi and B.Saghafian. 2006.Regional analysis of hydrological drought in Tehran watersheds. Iranian Journal of Natural Resources, 59(1): 27-40 (in Persian).

11. Smakhtin, V.U., D.A. Watkins and D.A. Hughes. 1995. Preliminary analysis of low-flow characteristics of South African rivers. Water SA,21:201-210.

12. Smakhtin, V.U. 2001. Low flow hydrology: a review. Journal of Hydrology Science, 240: 147-186.

13. Smakhtin, V.Y. 1998. Generation of natural flow sequences in regulated rivers. Regulated Rivers: Research and Management, 15: 311–323.

14. Smakhtin, V.Y. and M. Toulouse. 1998. Relationships between low flow characteristics of South African streams. Water SA, 24(2): 107–112.

15. Tharme, R.E. 2003. A global perspective on environmental flow assessment: emerging trends in the development and application of environmental flow methodologies for rivers. River Research and Application, 19(5-6): 397-441.

Yilmaz, K.K., H.V. Gupta and T. Wagener. 2008. A process-based diagnostic approach to model evaluation: application to the NWS distributed hydrologic model. Water Resources Research, 44: 94-114

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