Estimation of discharge in ungauged sub-basins using regional analysis of runoff (Case study: Hablehroud Basin)

Document Type : Research Article


1 Assistant Professor, Department of Water Engineering, Faculty of Agricultural Sciences, University of Guilan, Iran

2 Ph.D. Candidate, Water Engineering Department, College of Agricultural, Isfahan University of Technology, Iran


Estimation of discharge using regional analysis is an effective method for water resources management in ungauged basins. In the present study, in order to estimate annual discharge in the ungauged sub-basins of Hablehroud Basin, linear regression and three independent variables including area, precipitation and slope were used. The basin under study was divided into five major and 44 minor sub-basins and using the data from five active hydrometric stations in the basin, regression equations for estimating annual discharge and specific discharge (the ratio of discharge to basin area) were extracted. The extracted equations were assessed in both major and minor sub-basins. The results showed that discharge estimation using the three variables of area, precipitation and slope in the five major sub-basins has an average error of 1.3%. However, the average error in the 44 minor sub-basins was totally unacceptable. The results also showed that the average error of specific discharge estimation in the five major sub-basins is 2.6%. Despite the increase of error in the major sub-basins, the average error of specific discharge estimation in the 44 minor sub-basins was reduced to 5.33%. The results of the present study indicate that when the basin under study is divided into small sub-basins, specific discharge can be considered as an appropriate variable in regional analysis of runoff.


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[1].Sivapalan M, Takeuchi K, Franks SW, Gupta VK, Karambiri H, Lakshmi V, et al. IAHS decade on predictions in ungauged basins (PUB), 2003-2012: Shaping an exciting future for the hydrological sciences. Hydrolog Sci J. 2003; 48(6): 857-880.
[2].Kim U, Kaluarachchi JJ. Application of parameter estimation and regionalization methodologies to ungauged basins of the Upper Blue Nile River Basin, Ethiopia. J Hydrol. 2008; 362: 39-56.
[3].Lall U, Olds J. A parameter estimation model for ungaged streamflows. J Hydrol. 1987; 92: 245-262.
[4].Servat E, Dezetter A. Rainfall-runoff modeling and water resources assessment in northwestern Ivory Coast. Tentative extension to ungauged catchments. J Hydrol. 1993; 148: 231-248.
[5].Rao AR, Hsieh CH. Estimation of variables at ungaged locations by empirical orthogonal functions. J Hydrol. 1991; 123: 51-67.
[6].Zhu Y, Day RL. Regression modeling of streamflow, baseflow, and runoff using geographic information systems. J Environ Manage. 2009; 90: 946-953.
[7].Fernandez W, Vogel RM, Sankarasubramanian A. Regional calibration of a watershed model. Hydrolog Sci J. 2000; 45(5): 689-707.
[8].Khedmati1 H, Manshouri M, Heydarizadeh M, Sedghi H. Zonation and estimation of flood discharge in unguaged sites located in south-east basins of iran using a combination of flood index and multi-variable regression methods (Sistan and Baluchistan, Kerman, Yazd and Hormozgan Provinces). Journal of Water and Soil (Agricultural Sciences and Technology). 2010; 24(3): 593-609. [Persian].
[9].Bocchiola D, Mihalcea C, Diolaiuti G, Mosconi B, Smiraglia C, Rosso R. Flow prediction in high altitude ungauged catchments: A case study in the Italian Alps (Pantano Basin, Adamello Group). Adv Water Resour. 2010; 33: 1224-1234.
[10].Johnson BH, Padmanabhan G. Regression estimates of design flows for ungaged sites using bankfull geometry and flashiness. Catena. 2010; 81: 117-125.
[11].Bao Z, Zhang J, Liu J, Fu G, Wang G, He R, et al. Comparison of regionalization approaches based on regression and similarity for predictions in ungauged catchments under multiple hydro-climatic conditions. J Hydrol. 2012; 466-467: 37-46.
[12].Supriya P, Krishnaveni M, Subbulakshmi M. Regression analysis of annual maximum daily rainfall and stream flow for flood forecasting in Vellar River Basin. Aquatic Procedia. 2015; 4: 957-963.
[13].Charron C, Ouarda TBMJ. Regional low-flow frequency analysis with a recession parameter
from a non-linear reservoir model. J Hydrol. 2015; 524: 468-475.
[14].Naeimi Kalourazi Z, Ghorbani Kh, Salarijazi M, Dehghani A. A. Investigation of effect of basin’s physiographic and climatic parameters in seasonal river flow simulation. Iranian Journal of Ecohydrology. 2017; 3(4): 545-555. [Persian].
[15].Cho H, Bones E. Quantification of uncertainties in the 100-year flow at an ungaged site near a gaged station and its application in Georgia. J Hydrol. 2016; 539: 640-647.
[16].Farzin S, Karimi H, Doostmohammadi M, Ghanbari A, Zamiri E. The performance of Artificial Neural Network in prediction and analysis of hydrological processes (Case study: Water shortage in Nazloo-chai watershed, West Azerbaijan province). Iranian Journal of Eco Hydrology. 2017; 3(4): 631-644. [Persian].
[17].Haghizadeh A, Mohammadlou M, Noori F. Simulation of rainfall-runoff process using multilayer perceptron and adaptive neuro-fuzzy interface system and multiple regressions (Case study: Khorramabd watershed). Iranian Journal of Ecohydrology. 2015; 2(2): 233-243. [Persian].
[18].Raghunath HM. Hydrology, Principles, Analysis, Design. 2nd ed. New Delhi: New Age International; 2006.
[19].Hirpa FA, Gebremichael M, Over TM. River flow fluctuation analysis: Effect of watershed area.
Water Resour Res. 2010; 46: 1-10.
[20].Khalili D, Yousefi A. Developing a model for the estimation of mean and maximum daily discharges using physiographic parameters for Atrak Watershed. J Sci Technol Agr Nat Resour (JWSS). 1998; 2(3): 1-11. [Persian].
[21].Malekinejad H, Pourmohammadi S. Investigating the peak flood estimation methods in a regional analysis approach for low-data catchments. Water Soil Sci. 2011; 21(1): 115-125. [Persian].