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Russian Meteorology and Hydrology

, Volume 43, Issue 8, pp 544–550 | Cite as

The Climate Change Effect on the Water Regime. The Case Study: the Karun Catchment, Iran

  • Z. Ramak
  • J. Porhemmat
  • H. Sedghi
  • E. Fattahi
  • M. Lashni-Zand
Article
  • 1 Downloads

Abstract

One of the most important effects of climate change is changes in the water regime and the frequency of flood occurrence. The Karun catchment is one of the most important Iran catchments, but it has never been studied specifically. This study considers the effect of climate change on the annual and the maximum runoff of the Karun catchment in the Shalu bridge area. First, temperature and monthly precipitation of the HadCM3 model were downscaled based on three scenarios, AlB, A2, and B1, ustng the LARS-WG model. Then data were spatially downscaled based on the change factor model, and the SRM model was used to simulate runoff. The results show that the climate change affects the water regime of this catchment.

Keywords

Climate change water regime maximum runoff return period downscaling 

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References

  1. 1.
    L. Alfieri, P. Brurek, L. Feyenand, and G. Forzieri, “Global Warming Increases the Frequency of River Floods in Europe,” Hydrology and Earth System Sci., 19 (2015).Google Scholar
  2. 2.
    E. Barrow, M. Hulme, and M. Semenov, “Effect of Using Different Methods in the Construction of Climate Change Scenarios: Examples from Europe,” Climate Res., 7 (1996).Google Scholar
  3. 3.
    V. A. Belchikov, A. Ya. Polunin, Yu. A. Simonov, and A. V. Khristoforov, “Polyvariant Estimation of Possible Climatologic River Runoff Changes with Emphasis on the Northern Dvina Catchment,” Meteorol. Gidrol., No. 3 (2009) [Russ. Meteorol. Hydrol., No. 3, 34 (2009)].Google Scholar
  4. 4.
    D. Dewalle and A. Rango, Principles of Snow Hydrology, Chapter 3 (2009).Google Scholar
  5. 5.
    C. Donnelly, W. Yang, and J. Dahne, “River Discharge to the Baltic Sea in a Future Climate,” Climate Change, 122 (2014).Google Scholar
  6. 6.
    D. L. Ficklin, Y. Luo, E. Luedeling, and M. Zhang, “Climate Change Sensitivity Assessment of a Highly Agricultural Watershed Using SWAT,” J. Hydrol., No. 1–2, 374 (2009).Google Scholar
  7. 7.
    IPCC-TGCIA, Guidelines on the Use of Scenario Data for Climate Impact and Adaptation Assessment, Version 1.69: Intergovernmental Panel on Climate Change, Task Group on Scenarios for Climate Impact Assessment, Ed. by T. R. Carter, M. Hulme, and M. Lal (1999).Google Scholar
  8. 8.
    P. D. Jones and M. Hulme, “Calculating Regional Climatic Time Series for Temperature and Precipitation: Methods and Illustrations,” Int. J. Climatol., 16 (1996).Google Scholar
  9. 9.
    A. V. Khristoforov, G. V. Kruglova, and T. V. Samborski, “Stochastic Model of the Runoff Fluctuations for Rivers with a Flood Flow Regime,” in Hydrological Models for Environmental Management. NATO Science Series, Environmental Security, 79 (1999).Google Scholar
  10. 10.
    J. Martinec, A. Rango, and R. Roberts, Snowmelt Runoff Model (SRM) User’s Manual version 1.11 (2008).Google Scholar
  11. 11.
    M. Mendizabal, J. Sepulveda, and P. Torp, “Climate Change Impacts on Flood Events and Its Consequences on Human in Deba River,” Int. J. Environ. Res., No. 1, 8 (2014).Google Scholar
  12. 12.
    J. M. Murphy, B. Booth, M. Collins, G. Harris, D. Sexton, and M. Webb, “A Methodology for Probabilistic Predictions of Regional Climate Change from Perturbed Physics Ensembles,” Philos. T. Roy. Soc. A, 365 (2007).Google Scholar
  13. 13.
    M. A. Semenov and E. M. Barrow, LARS a Stochastic Weather Generator for Use in Climate Impact Studies. User’s Manual, Version 3 (2002).Google Scholar
  14. 14.
    M. A. Semenov and R. J. Brooks, “Comparison of the WGEN and LARS-WG Stochastic Weather Generators for Diverse Climates,” Climate Res., 10 (1998).Google Scholar
  15. 15.
    R. L. Wilby and I. Harris, “A Framework for Assessing Uncertainties in Climate Change Impacts: Low Flow Scenarios for the River Thames, UK,” Water Resour. Res., 42 (2006).Google Scholar

Copyright information

© Allerton Press, Inc. 2018

Authors and Affiliations

  • Z. Ramak
    • 1
  • J. Porhemmat
    • 2
  • H. Sedghi
    • 1
  • E. Fattahi
    • 3
  • M. Lashni-Zand
    • 4
  1. 1.Islamic Azad University, Science and Research BranchTehranIran
  2. 2.Soil Conservation and Watershed Management Research Institute—Agricultural Research, Education and Extension OrganizationTehranIran
  3. 3.Climatological Research InstituteNational Center of ClimatologyTehranIran
  4. 4.Agricultural Research, Education and Extension OrganizationKhoramabadIran

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