Evaluation of IHACRES hydrological model for simulation of daily flow (case study Polrood and Shalmanrood rivers)

Document Type : Research Article

Authors

1 Department of Water Engineering, Islamic Azad University, Lahijan Branch, Lahijan.

2 M.Sc. student of Engineering and Water Resources Management, Civil Engineering Department, Islamic Azad University Lahijan Branch, Lahijan

Abstract

Due to the lack of information on most stations and economic constraints for collecting observed data. Identification of a suitable hydrological model can help in the management of water resources. The IHACRES model doesn't require complex data for input, so this model is superior to other models. In this research the efficiency of IHACRES model for simulation of daily flow for Polrood and Shalmanrood rivers which is located in a humid area are (Guilan Province) evaluated. According to results, R2 (Coefficient of Determination) are between 0.60 and 0.70 and also low APRE (Average Parameter Relative Error) results for both rivers that for Polrood is (APRE= 0.367) and for Shalmanrood is (APRE= 0.058). The results of the evaluation showed that the IHACRES model has low deflection for simulation of daily flow amounts and has good ability for simulation of flow in humid area that has high flow. The efficiency of IHACRES model in predicting daily flow was found to be fairly good.
 
 
 

Keywords

Main Subjects

References

 
1.Ashofte, P. Masah Bovani, A. 2008. Analysis uncertainty impacts of climate change on flood regime Bayesian approach; Case Study Aidoghmoush Basin, East Azerbaijan, thesis, Tehran University.
 
2. Beven, K. J. 2000. Rainfall-Runoff Modeling. John Willey and Sons Ltd, England, 200 pp.
 
3. Booij, M. J. 2002. Appropriate modeling of climate change impacts of river flooding, Ph.D. Thesis, University Twente, Netherlands, 179 pp.
 
4.Carla Carcano, E., Bartolini, P., Muselli, M., and Piroddi, L. 2008. Jordanrecurrent neural network versus IHACRES in modelling daily streamflows. J.Hydrol. 362: 291-307.
 
5. Croke B. F. W. and Jakeman A. J. 2008. Use ofthe IHACRES rainfall-runoff model in arid andsemiarid regions. In: Weather H. S. SorooshianS. and Sharma K. D. (Eds.), HydrologicaModeling in Arid and Semi-arid Areas.Cambridge University Press, Cambridge. pp.41-48.
 
6. Day.P.J and Croke.B.F.W.(2003), Evalution of streamflow predictions by the IHACRES rainfall-runoff model in two South African catchments, Enviromental Modeling & software 18.705-712
 
7. Dooge, J.C.I. 1973. Linear Theory of Hydrologic Systems. Technical Bulletin No 1468. United States Department of Agriculture,Washington DC. 327.
 
8.Doosti, M. Shahedi, K. 2012. IHACRES in the semi-conceptual model to simulate daily flow (Case study: Tamar Basin )
 
9. Eyad Abushandi & Broder Merkel. Modelling Rainfall Runoff Relations Using HEC-HMS and IHACRES for a Single Rain Event in an Arid Region of Jordan. Water Resour Manage (2013) 27:2391–2409
 
10.Goodarzi, M. Masah, A. 2012. Comparison of hydrologic models IHACERS, SWAT. SIMHYD Gharehsou in simulating runoff, water management and irrigation Journal 2 (1), 40-25.
 
11.KheyrFam , H. Sadeghi, H.R. 2011. Using the model to estimate daily discharge IHACRES some watersheds in Golestan Province Journal of Watershed Management
 
12. Littlewood, I. G. K., J. R. Parker and D. A. Post. 1997. IHACRES Catchment-Scale Rainfall-Streamflow Modelling (PC version), Center for Ecology and Hydrology, The Australian National University, 95 p.
 
13.Littlewood, L.G., Clarke, R.T., Collischonn, W., and Croke, B.F.W. 2007.Predicting daily Streamflow using rainfall forecasts, a simple loss module andunit hydrographs: Two Brazilian catchments.Environmental Modelling andSoftware, 22: 1229-1239
 
14. Motovilov, Y.G., L. Gottschalk, K. Engeland and A. Rohde. 1999. Validation of adistributed hydrological model against spatial observations. Agricultural and Forest Meteorology, 98-99: 257-277.
 
15. Sadeghi, S.H.R., B. Yasrebi, and F. NoorMohammadi. 2005. Development and analysis of monthly precipitation runoff relationships for Haraz Watershed in Mazandaran Province. Journal of Agricultural Sciences and Natural Resources of Khazar, 3(1): 1-12. (In Persian)
 
16.Sadeghi, H.R. Moradi, H. 2004. Effectiveness of different methods of statistical analysis on rainfall-runoff modeling, Journal of Agricultural Sciences and Natural Resources, Gorgan

17. Sedaghat, A. Fatahi, A. 2008. Drought early warning indicators in Iran. Journal of Geography and Development, University of Sistan and Baluchestan. The sixth volume. Numbers 11: 76-59
 
18. Wondimu Tolcha, Istvan Waltner. Performance Assessment of the IHACRES Model in the Upper Catchment of Dawa Sub-basin, Borna Rangeland, Ethiopia. Engineering and Applied Sciences. Vol. 1, No. 2, 2016, pp. 13-19. doi: 10.11648/j.eas.20160102.11
 
19. Ye, W., A.J. Jakeman and P.C. Young. 1998. Identification of improved rainfallrunoff models for an ephemeral low-yielding Australian catchment. Environmental Modelling and Software, 13: 59-74.
 
 20. Zarei, M., Ghanbarpour, M., Habibnezhad Roshan, M., and Shahedi, K. 2010. Calibration and evaluation of IHACRES hydrological model to simulate runoff. J. Water Soil Agric. Sci. Tech. 25: 104-114.
 
21. Zarei, M., Ghanbarpoor, M.R. 2009. River flow simulations using rainfall-runoff models IHACRES (Kasilian River case study). Of watershed Iran. Number 8: 20-11
 
22. Zlatunova, D., G. Gergov and I.G. Littlewood. 2002. Preliminary assessment of a unit hydrograph-based continuous simulation model for bulgarian rivers, Proceedings International Environmental Modelling and Software Society Conference, iEMSs. Lugano, Switzerland. Vol. I, 405-409 pp.
 
Iranian journal of Ecohydrology
Volume 3, Issue 4
January 2017
Pages 533-543

Files

History

  • Receive Date: 27 September 2016
  • Revise Date: 15 December 2016
  • Accept Date: 09 November 2016

Share

How to cite

Statistics