چکیده مقاله
Hydrological models comprehension is one of the basic steps in the optimal operation and management of water and flood control Several parameters related to infiltration process, routing, and conversion of precipitation into runoff for estimation; On the other hand, estimating the parameters by different optimization methods has always been associated with errors Therefore, uncertainty analysis is necessary In the present study, the Monte Carlo based algorithms in the HEC HMS model were used to investigate the curve numbers' parametric uncertainty of the Kan watershed with a 34 78 sq km area in the North of Tehran province The results showed that the model can be used in flood risk assessment and management by considering the uncertainty in peak flood assessment and considering geomorphological features as a reliability coefficient
کلیدواژهها
نویسندگان
Parnian Yazdani
Master Student of Engineering and Water Resources Management, Tarbiat Modares Water Research Institute
Jafar Yazdi
Assistant Professor, Faculty of Civil Engineering, Water and Environment, Abbaspour Technical and Engineering Department, Beheshti University
Seyed Ali Akbar Salehi Neyshabouri
Salehi Neyshabouri, Professor, Faculty of Civil and Environmental Engineering, Tarbiat Modares University
شیوه ارجاع
Yazdani, Parnian and Yazdi, Jafar and Salehi Neyshabouri, Seyed Ali Akbar,1400,Automatic Calibration of the Conceptual HEC-HMS Model and Parametric Uncertainty Investigation of Rainfall-Runoff Model,12th International River Engineering Conference
ارائهشده در
مجموعه مقالات دوازدهمین سمینار بین المللی مهندسی رودخانه4 بهمن 1400 · اهواز