Investigating sediment changes during dry and wet periods at both upstream and downstream stations of the Karkheh Dam

Document Type : Research Paper

Authors

1 Department of Rangeland and Watershed Management, Faculty of Natural Resources, Yazd University, Yazd, Iran.

2 Department of Rangeland and Watershed Management, Faculty of Natural Resources , Yazd University, Yazd, Iran.

Abstract

Estimating sediment yield accurately in watershed areas is always a concern for planners. A noteworthy aspect in this regard is the variation in river behavior within watershed areas during dry and wet periods. The objective of this study is to investigate sediment variations during dry and wet periods at both upstream and downstream stations of the Karkheh Dam. To achieve this, flow and sediment statistics from the Afrineh-Kashkan station upstream of the dam and the Pay-Pol station downstream, spanning a 38-year period (1350-1398), were utilized. For this purpose, dry and wet periods were initially identified, and for each, sediment rating curve was plotted. To enhance the sediment rating curve relationship, corrective factors including FAO, QMLE and Smearing were employed. Performance evaluation of each was conducted using indicators such as RMSE, ME and P. The results of the sediment analysis at each station during dry and wet periods indicate that the specific sediment yield has decreased during dry periods and experienced a significant increase during wet periods. Moreover, the specific sediment yield at the downstream station (Pay-Pol) of the Karkheh Dam has also shown a considerable reduction, indicating the dam's impact on sediment regulation downstream.

Keywords

References

  1. Sadeghi, S.H.R., Mizuyama, T., Miyata, S., Gomi, T., Kosugi, K., Fukushima, T., Mizugaki, S. & Onda, Y. (2008). Development, evaluation and interpretation of sediment rating curves for a Japanese small mountainous reforested watershed. Geoderma, 198-211.
  2. Kao, Sh., Lee. T., & Milliman, J.D.)2005(. Calculating highly fluctuated suspended sediment fluxes from mountainous rivers in Taiwan. Terrestrial Atmospheric and Oceanic Sciences, )16 (3, 653-
  3. Horowitz, A. J. (2003). An evaluation of sediment rating curves for estimating suspended sediment concentrations for subsequent flux calculations. Hydrological Processes. 17(17), 3387–3409.
  4. Thampson, S, A. (1999). Hydrology for water management, Balkema, Rotterdam.
  5. Ghafari, G., & Mahdavi, M. (2013). The effect of periods of dry and dry on the amount of specific sediment (case study: Karkheh watershed). Iranian Journal of Watershed Management Science and Engineering, 8(27), 49. (In Persian)
  6. Nazari Samani, A., Hervey, H., Panahi, M., & Jafari Shalmazari, M. (2012). The effect of land use change and precipitation on the sediments of Taleghan basin. Rangeland and watershed management journal. 165-157. (In Persian)
  7. Garbrecht, J. )2010(. Climate variations, soil conservation, and reservoir sedimentation, Federal Interagency Conference, In 2nd Joint Federal Interagency Conference, Las Vegas.
  8. Benjamin, H. )2008(. Draft National Water Program Strategy: Response to Climate Change Request for Comments, United States environmental protection agency, Washington, D. C.20460.
  9. Talebi, A., Bahrami, A., Mardian, M., & Mahjoobi, J. (2015). Determination of optimized sediment rating equation and its relationship with physical characteristics of watershed in semi-arid regions. Desert, 20(2): 135-144.
  10. Talebi, A., & Pourmohammadi, S. (2015). Investigating the most appropriate sediment measurement equation in dry (southwestern Iran) and humid (northern Iran) climates. Geographical Research, 31 (1) :118-128 (In Persian)
  11. Mahmoudian Shushtari, M., & Ranginkaman, M. (2009). Investigation and comparison of different methods of preparation of sediment Rating curve based on water regime in Dez River (Tale Zang station), 8th International Seminar on River Engineering. Ahvaz, Iran. (In Persian)
  12. Masfaei, J., Pourjam, A., & Tabatabai, M. (2016). Comparing the efficiency of sediment Rating model and neural network in river bed load estimation. Geography and Sustainability of Environment, 33-44. (In Persian)
  13. Verwani, J., Najafinejad, A., & Mirmoini Kohrorudi, A. (2008). Modification of sediment Rating curve using minimum variance method, Journal of Agricultural Sciences and Natural Resources.

 

 

 

 

 

 

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