Abstract
Different methods are emp loyed in applying probability distribution in hydrology. The most common among these methods is the Probability Distribution method. In this study in order to determine suitable probability d istribution for estimating of annual discharge series with different return periods, annual mean and peak discharges over a 30 years' time period had been collected fro m M inab river (Barantin gage) in Hormo zgan province, Iran. After ho mogeneity and adequacy test, data has analyzed by SMADA software and residual sum of squares (R.S.S). The best probability distribution selected according to SMADA output and R.S.S results. Log Pearson type III with R.S.S (124.4) for annul peak discharge and Log Pearson type III and then Pearson with R.S.S (1.16) and (1.9) demonstrated the most fitting respectively, for annual mean discharge.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Probability and Statistics
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
