Comparison and Evaluation of Suspended Sediment Estimation Methods using Data Classification (Case of Study: Doab Mark, Shirgah and Krikla Stations)

Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
The present study conducted for performance comparsion of suspended sediment estimation methods to data classification method and also comparsion of abservation and estimation sediment in all methods for thre stations of Doab Merk and Shirgah and Krikla. The results showed that the normal rating curve using hydroseason introducted as optimation model in Dooab Mark stationwith the lowest root mean square error (700.96). While, the Shirgah and Krikla stations the CF2 method using calendar method had better performance with root mean square error of amount of 12074.648 and 559.73, respectively. But, FAO model had not high performance in three stations using three applied methods. Also, the compersion of estimated and observed sediment in Shirgah and Karikla stations using hydocimate and without data classification, the CF2 modified method and the normal sediment rating curve had the better estimation with different percent with different percent of -9.56% and -6.17%, respectively. While, the results showed that for the Krikla station calendar and hydroclimatic classification, the CF2 modified method had the best estimation with different percent of -22.33 and -22.55%, respectively. The conclusion showed that the changing of climate region in studied stations cased the changing of optmimal models in estimated suspended sediment.
Language:
Persian
Published:
Iran Water Resources Research, Volume:13 Issue: 3, 2017
Pages:
187 to 193
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