Abstract : 3M.4
Optimizating hydrologic empirical models for estimating the flood peak in north slopes of Alborz Mountain strings
Ali Akbar Jamali,
Seyed Ali Ayyoubzadeh, Mohammad Mahdavi
Islamic Azad University-Maybod Branch, Maybod
Many of developing countries as well as Iran are face with lack of sufficient recorded hydrologic data and they have not fit empirical method. In order to cope with data scarcity and study ungauged catchment, application of developed empirical models based on other gauged catchment is a common strategy used by hydrologists. The present research work is an effort to evaluate a number of ten general empirical models for flood (m3/s) estimation with different return periods (2, 5, 10, 25, 50, 100 years) via watershed areas (Km2). Methods were estimating the best coefficient with RSS (Residual Sum of Square) factor in Solver programmer of Microsoft-Excel. briefly solver options in this study: max 100 seconds, iterations 100, precision 10-6, tolerance 5%, convergence 10-4, tangent estimates, forward derivatives and search method was Newton. The objective data of peak discharge (m3/s) collected and processed with hydrologic statistic models. Objective discharges (m3/s) were compared with estimated discharges (m3/s). The models have tested in North slopes of Alborz Mountain Strings. The results highlight that the Bremner Model is best for smaller return periods in North slopes of Alborz Mountain Strings (Caspian Sea watersheds in Iran) but the Murphy Model can act better as a general model over there. With these new models for north of Iran can estimate floods and design dams and flood control structures better.