Author/Authors
terzi, özlem suleyman demirel university - technology faculty - civil engineering dept., Turkey , baykal, tahsin suleyman demirel university - technology faculty - civil engineering dept., Turkey
Title Of Article
DATA MINING PROCESS FOR RIVER SUSPENDED SEDIMENT ESTIMATION
شماره ركورد
35863
Abstract
The accurate estimation of the amount of suspended sediment of rivers is important in water resources engineering because sediment in rivers can also shorten the lifespan of dams and reservoirs. For this purpose, the models are developed to estimate suspended sediment of Kızılırmak River using the data mining process. The river flow values are used as input parameter by developing sediment models. The most appropriate model is obtained by the M5’Rules algorithm. The determination coefficient of the model is obtained as 0.66 and it is observed that the data mining process can be used to estimate suspended sediment of rivers in hydrology field.
From Page
19
NaturalLanguageKeyword
sediment , data mining process , M5’Rules , Kızılırmak River
JournalTitle
Sdu International Technologic Science
To Page
26
JournalTitle
Sdu International Technologic Science
Link To Document