Document Type : Research Paper

Authors

1 M.Sc. Student, Department of Range and Watershed Management Engineering, Faculty of Agriculture, Ilam University, Ilam, Iran

2 Assoc. Professor, Department of Range and Watershed Management Engineering, Faculty of Agriculture, Ilam University, Ilam, Iran

3 Professor, Department of Range and Watershed Management Engineering, Faculty of Agriculture, Ilam University, Ilam, Iran

Abstract

In this research, the baseflow at the Gol Gol station, as a part of the Ilam dam watershed from 1991 to 2015, was separated from the entire river flow. For this purpose, WETSPRO methods, one-parameter and two-parameter numerical filters for continuous flow with porous and rocky aquifers, and using flow index and WHAT software with different filtration coefficients were used. To compare the methods and to select the most appropriate method, BFI index was used as an observational baseflow. Based on the results obtained, the baseflow occupies a major part of the total flow. The mean of the total flow rate was 1.945 m3/s and the mean of the baseflow index was 1.445 m3/s, which indicates the permeability of the watershed. RMSE, MAE, and Nash-Sutcliffe criteria were used to evaluate the efficiency of the methods. The results showed that the Lyne and Hollick method based on WHAT software had the best result and then followed by Eckhart for continuous flow with a porous aquifer with a significance level of 0.742, mean 1.250 m3/s, with a confidence level of more than 95%. Therefore, the Eckhart method can be considered suitable for continuous flow with a porous aquifer with a filter coefficient of 0.990 due to the proximity of the mean baseflow in it to the mean of the baseflow index.

Keywords

Main Subjects

Ahiablame L., Chaubey I., Engel B., Cherkauer K. and Merwade V. (2013). Estimation of annual base flow at ungauged sites in Indiana USA. J. Hydrol., 476, 13-27.
Arnold J. G. and Allen P. M. (1999). Validation of automated methods for estimating base flow and groundwater recharge from stream flow records. J. Am. Water Resour. Assoc., 35(2), 411- 424.
Bloomfield J., Allen D. and Griffiths K. (2009). Examining geological controls on base flow index (BFI) using regression analysis: An illustration from the Thames Basin, UK. J. Hydrol., 373, 164–176.
Bosch D. D., Arnold J. G., Allen P. G., Lim K. J. and Park Y. S. (2017). Temporal variations in baseflow for the Little River experimental watershed in South Georgia, USA. J. Hydrol. Reg. Stud., 10, 110–121.
Capesius, J. P. and Arnold L. R. (2012). Comparison of Two Methods for Estimating Base Flow in Selected Reaches of the South Platte River, Colorado, US. Geological Survey: Reston, VA, USA.
Chimtengo M., Ngongondo C., Tumbare M. and Monjerezi M. (2014). Analysing changes in water availability to assess environmental water requirements in the Rivirivi River basin, Southern Malawi. Phys. Chem. Earth A/B/C, 67, 202–213.
Combalicer E. A., Lee S. H., Ahan S., Kim D. Y. and Im S. (2008). Comparing ground water recharge and Base flow in The Bukmoongol Small-Forested Watershed, Korea. J. Earth Syst. Sci., 117(5), 553-566.
Hasani M., Rahimi M., Samee M. and Khamoushi M. R. (2012). Study of efficiency of various base flow separation methods in arid and semi-arid rivers (Case study: Hablehroud basin). Arid. Biom. Scie. Res. J., 2(2), 10-22 [In Persian].
Kazemi R. and Fourod Sh. (2017). Regional investigation and estimation of base flow index in ‎homogeneous basins of Kerman Providence. J. Watershed Manag. Eng., 9(1), 97-107 [In Persian].
Kazemi R., Safari A., Karam A., Porhemat J. (2017). Investigation on impact of stream flow data temporal resolution on base flow separation in Karkhe Basin. J. Watershed Manag. Eng., 8(4), 400-413 [In Persian].
Kazemi R. and Porhemmat J. (2020). Calibration of recursive digital filters to separate the base flow, case study: Karkheh Basin. J. Watershed Manag. Eng., 12(1), 30-43 [In Persian].
Kelly L., Kalin R. M., Bertram D., Kanjaye M., Nkhata M. and Sibande H. (2019). Quantification of Temporal Variations in Base Flow Index Using Sporadic River Data: Application to the Bua Catchment, Malawi. Water, 11, 9.
Lim K. J., Engel B. A., Tang Z., Choi J., Kim K. S., Muthukrishnan S. and Tripathy D. (2005). Automated web GIS based hydrograph analysis tool, WHAT. J. Am. Water Resour. Assoc., 41(6), 1407–1416. Available online at: https://engineering.purdue.edu/mapserve/WHAT
Lodouche A., Probst D., Viville S., Baque M., Loubet J., Probst L. and Bariac T. (2001). Hydrograph separation using isotopic, chemical and hydrological approaches (Strengbach catchment, France). J. Hydrol., 242, 255-274.
Lyne V. D. and Hollick M. (1979). Stochastic time-variable rainfall runoff modeling. Hydrology and Water Resources Symposium, Institute of Engineers Australia National Conference, 89–92.
Mehri S., Mostafazadeh R., Esmali Ouri A. and Ghorbani A. (2017). Comparison of base flow separation techniques and its seasonal variations in some watersheds of Ardabil Province. J. Conserv. Utiliz. Nat. Resour., 6(2), 123-137 [In Persian].
Mei Y. and Anagnostou E. N. (2015). A hydrograph separation method based on information from rainfall and runo_records. J. Hydrol., 523, 636–649.
Mosavipor F. and Saied Tabtabaei S. (2011). Optimal removal of industrial audio noise by single channel method. M.Sc. Thesis, Shahed University, (Iran) [In Persian].
Nathan R. J, and McMahon T. A. (1990). Evaluation of automated techniques for base flow and recession analyses. J. Water Resour. Res., 26(7), 1465-1473.
Rezaei Tavabea K., Taheri Azad L., Mahmodi M., Yazdanpanah A. (2007). An approach to the barriers and limitations of water resources management and provide management solutions in sustainable development. The 9th national seminar on irrigation and evaporation reduction, Kerman, Iran [In Persian].
Santhi C., Allen M. P., Muttian R. S., Arnold J. G. and Tuppad P. (2008). Regional estimation of base flow for the conterminous United States by hydrologic landscape regions. J. Hydrol., 351, 139– 153
Smakhtin V. U. (2001). Low flow hydrology: A review. J. Hydrol., 240, 147-186.
 
Soltani A. and Soltani M. (2018). Assessment of base flow separation methods in Karaj dam watershed. J. Environ. Water Eng., 4(3), 216 – 228 [In Persian].
Stewart M., Cimino J. and Ross M. (2007). Calibration of base flow separation methods with stream flow conductivity. Ground water, 45(1), 17-27.
Taimori M., Ghanbarpor M., Bashirgonbad M., Zolfaghari M., Kazemikia S. (2012). Comparing of base flow index of different methods of hydrograph analysis in some rivers of West Azerbaijan. J. Water Soil Sci., 15(57), 2019-228 [In Persian].
Tallaksen L. M. and Van Lanen H. A. (2004). Hydrological Drought: Processes and Estimation Methods for Stream flow and Groundwater, Elsevier: Amsterdam, the Netherlands, 579 pp.
Tavakoli M., Karimi H. and Norollahi H. (2018). Investigation the effects of climate change on water resources of Ilam Dam Watershed. Watershed Eng. Manag., 10 (2), 157-170 [In Persian].
Willems P. (2009). A time series tool to support the multi-criteria performance evaluation of rainfall–runoff models. Environ. Model. Softw., 24(3), 311–321.
Zare Bidaki R., Gharahi N. and Mahdianfard M. (2019). Comparison of separation methods for baseflow from direct runoff in Doroud Basin, Lorestan, Iran. J. Environ. Water Eng., 5(3), 200–212 [In Persian].