Prediction of Sediment Yields Using a Data-Driven Radial M5 Tree Model

Prediction of Sediment Yields Using a Data-Driven Radial M5 Tree Model

Reliable estimations of sediment yields are very important for investigations of river morphology and water resources management. Nowadays, soft computing methods are very helpful and famous regarding the accurate estimation of sediment loads. The present study checked the applicability of the radia...

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Bibliographic Details
Main Authors: Behrooz Keshtegar, Jamshid Piri, Waqas Ul Hussan, Kamran Ikram, Muhammad Yaseen, Ozgur Kisi, Rana Muhammad Adnan, Muhammad Adnan, Muhammad Waseem
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Water
Subjects:
Gilgit River
snowmelts
suspended sediment yields
M5Tree
RM5Tree
Upper Indus Basin (UIB)
Online Access:https://www.mdpi.com/2073-4441/15/7/1437

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