Volume 5, Number 2 (summer 2001)                   JCPP 2001, 5(2): 1-13 | Back to browse issues page


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Izadbakhsh M, Eslamian S, Mosavi S. Maximum-Daily Mean-Discharge Predicting Models Using Physiographic Characteristics of Catchments in Some Western Iran Watersheds. JCPP. 2001; 5 (2) :1-13
URL: http://jcpp.iut.ac.ir/article-1-148-en.html

Abstract:   (27508 Views)

Flood is one of the catastrophic events that has attracted the hydrologists’ attention. In this research one of the important flood indices, i.e. maximum-daily mean-discharge, was determined for several western Iran watersheds, namely, in the catchments of Gamasiab, Qarasou, Saimare, Kashkan, Sezar and Abshineh. Daily data were prepared from stream-gauging stations and a 30-year concurrent period was selected.

 Flood frequency analysis was performed using HYFA and TR computer programs and optimum distributions were chosen by goodness of fit tests. Extreme flow values having different return periods of 2, 5, 10, 25, 50, 100, 500 and 1000 years were calculated. Modeling was done with regional analysis using multiple regression technique between maximum-daily mean-discharge and physiographic characteristics of the basins. The most important parameter for the selection of the model was the adjusted coefficient of determination while significant level, standard error and observed discharger vs. computed discharge plot acted as controlling parameters. Finally, different models with different parameters were selected from power, exponential, linear and logarithmic forms. The results showed the power model to be the best among the four types. The main channel length, drainage density and time of concentration were the most effective parameters on flow. After analyzing the errors, it appeared that increasing the return period would cause an increase in the model error. At 1000-year return period, the error reached 32.2%.

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Type of Study: Research | Subject: General

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