چکیده مقاله
So far, various models have been developed to identify the relation between discharge and suspended sediment load Empirical relations such as sediment rating curves are often applied to determine the average relationship between discharge and suspended sediment load This type of model generally underestimate when sediment load are estimated from water discharge using least squares regression of log transformed variables To avoid that drawback, it is proposed to employ HBMO algorithm as a new tool for optimization of this relation Results of this model are compared with two different sediment rating curves SRC The daily streamflow and suspended sediment concentration data from Mad River Catchment near Arcata, USA are used as a case study Statistics and graphs present that the HBMO algorithm performs better than the other models in estimation of suspended sediment concentration in the particular data sets used in this study
کلیدواژهها
نویسندگان
Hassan Ebrahimi
Department of Civil Engineering, Iran University of Science & Technology, Tehran, Iran
Mostafa Ghasemi
Department of Electrical Engineering, Science & Research Islamic Azad University, Tehran, Iran
Ebrahim Jabbari
Hassan Ebrahimi Department of Civil Engineering, Iran University of Science & Technology, Tehran, IranMostafa Ghasemi Department of Electrical Engineering, Science & Research Islamic Azad University, Tehran, Iran
شیوه ارجاع
Ebrahimi, Hassan and Ghasemi, Mostafa and Jabbari, Ebrahim,1391,Suspended sediment concentration estimation by Honey-Bees Mating Optimization (HBMO) algorithm,9th International Congress on Civil Engineering,Isfahan
ارائهشده در
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