Relations between physical characteristics of basins and low flow discharges with different return periods (Case study: Kashafroud basin)

Document Type : Research Article

Authors

1 Faculty ofAgriculture and Natural Resources, University of TorbatHeydarieh, Iran

2 Soil Conservation and Watershed Management Research Institute, Tehran, Iran

Abstract

Regional analysis is one of the important methods for estimating the low flow in ungagged regions. Investigation of the relations between effective factors of hydrological drought is the most important strategy to contrast and reduction of drought losses. In this study to analyze of low flow, the daily discharge data from 20 gauging stations with 25 years period (1988-2012) in the Kashafroud basin have been used. Low flow series with durations of 7 and 15 days have been calculated and by using frequency analysis, Log Pearson type III distribution was recognized as the most appropriate distribution. Then, low flows with return periods of 2, 5, 10, 25, 50 and 100 years were calculated. After calculating the physical characteristics of basins effective parameters on low flow have been detected in two steps by factor analysis. Based on cluster analysis, studied basins divided to two homogenous regions and the low flow regional models were determined in each homogenous region by using the linear multivariate regression. Results showed the first and second factors indicated 66.1% and 24.2 % of variance. Basin area, mean of slope and drainage density are the most effective physiographical parameters to estimation of low flow discharge and respectively in 100%, 79% and 79% of significant regression models are known as effective parameters in estimation of low flow in both A and B homogenous regions. In addition,with regards to high coefficient of determination and low standard error of relationships, models for homogeneous regions compared with the whole area models are more accurate.
 
 

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References

 
[1]Akbari M, Soleimani K, Mahdavi M. & Habibnejad Roshan M. (2010). Investigation and analysis of low flow frequency with different duration in arid and semi-arid regions, Engineering of water resources, 3: 75-84.
[2]. Sarhaddi A, Soltani S. & Moddares R. (2008). Regional low flow frequency distribution in Jiroft area by L- moments. Journal of Iranian water research. 3: 45-54
[3]. HabibnejadRoshan M, Ebrahimi M, Solaimani K, Vafakhah M. (2010). Low Flow Analysis in Arid and Semi-Arid Areas of Northeastern of Khorasan Razavi Province. Journal of watershed management research. 1: 44-58.
[4]. Tajri A, Babanejad M, Kardel F, Soleimani K. (2015). Inspection of factors that influence the hydrological drought (Case study: Lorestan watershed province). Geographical planning of space quarterly journal. 16: 151-164.
[5]. Aliasgari Kashani A, Zakerinia M, Heydarizadeh M. & Sharifan H. (2014). Assessing the hydrologic homogeneous regions and regional distribution functions with linear moments method in Golestan Province. Journal of Water and Soil Conservation. 21 (1): 1-21.
[6]. Chogan M, Honarbakhsh A, Zare Bidaki R. & Pajohesh M. (2013). Ferequency analysis of low flood for perediction of hysrologic drought, first conference of engineering and management of agriculture, environment, and sustainable natural resources, Hamedan, Iran.
[7]Bayzidi M. & Saghafian B. (2011). Regional analysis of stream flow drought in southwestern of Iran.Watershed Management Science & Engineering. 5 (14): 37-52.
[8]Salavati B, Sadeghi S.H.R. & Telvari A.R. (2010). Runoff generation modeling for Kurdistan province watersheds by using physiographic and climatic variables. Journal of water and soil. ‌24 (1): 84-96
[9]. Charron C. & Ouarda T.B.M.J. (2015). Regional low-flow frequency analysis with a recession parameter from a non-linear reservoir model. Journal of Hydrology. 524: 468–475.
[10]. Grandry M, Gailliez S, Sohier C. & Verstraete A. (2013). A method for low-flow estimation at ungagged sites: a case study in Wallonia (Belgium). Hydrology and Earth System Sciences. 17: 1319-1330.
[11]. Leander R, Buishand T.A, Hurk B.J.J.M.V. & Wit M.J.M. (2008). Estimated changes in flood quantiles of the river Meuse from Resampling of regional climate model output. Journal of Hydrology. ‌351 (3-4): 331–343.
[12]. Pearson C.P. (1993). Application of L-Moments to maximum river flows. The New Zealand statistician.‌ 28: 2-10.
[13]. Shi P, Chen X, Qu S, Zhang Z. & Ma J. (2010). Regional Frequency Analysis of Low Flow Based on L Moments: Case Study in Karst Area, Southwest China. Journal of Hydrolologic Engineering. 15 (5): 370-377.
[14]. Alizadeh A. (2011). Principal of applied hydrology.32nd ed. Mashhad: Astan Ghods Razavi.
[15] Samiee M. & Telvari A. (2008). Investigation of hydrologic drought severity and duration at Tehran province watersheds. Pajouhesh & Sazandegi.‌ 79: 21-27.
 [16] Kim S.U. & Lee K.S. (2010). Regional low flow frequency analysis using Bayesian regression and prediction at ungauged catchment in Korea. KSCE Journal of Civil Engineering.‌ 14: 87-98.
[17]. Nosrati K, Laaha G, Sharifnia S.A. & Rahimi M. (2015). Regional low flow analysis in Sefidrood Drainage Basin, Iran using principal component regression. Hydrology Research. 46 (1): 121-135.
 [18]. Ouarda T.B.M.J. & shu C. (2009). Regional low-flow frequency analysis using single and ensemble artificial neural networks. Water Resources Research.‌45 (11): 1-16.
 [19]. Yue S. & Wang C.Y. (2004). Scaling of Canadian low flows. Stochastic Environmental Research and Risk Management.‌18: 291-305.
[20]. Eslami A.R. (2011). Telvari A.R. Effect of homogeneity of the basins on precision flood estimation methods. Journal of Watershed Engineering and Management. 3 (1): 22-32.
[21]. Saghafian B, Mohammadi S. & Ghermezchshme B. (2009). Estimation of low flows in un-gauged location using multivariate regression model. Journal of Watershed Engineering and Management. 1 (1): 32-45.
 
 
 
Iranian journal of Ecohydrology
Volume 3, Issue 2
June 2016
Pages 267-277

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History

  • Receive Date: 31 May 2016
  • Revise Date: 22 October 2016
  • Accept Date: 17 September 2016

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