Estimation of Suspended Sediment Load Using Artificial Intelligence-Based Ensemble Model

• Published in: Complexity (New York, N.Y.) Vol. 2021; no. 1
• Main Authors: Nourani, Vahid, Gokcekus, Huseyin, Gelete, Gebre
• Format: Journal Article
• Language: English
• Published: Hoboken Hindawi 2021; John Wiley & Sons, Inc; Wiley
• Subjects: Accuracy; Adaptive systems; Artificial intelligence; Case studies; Decision making; Hydrology; Modelling; Neural networks; Performance prediction; Rivers; Root-mean-square errors; Runoff; Sediments; Support vector machines; Suspended sediments; Verification; Water resources; Watersheds; Ethiopia

Suspended sediment modeling is an important subject for decision-makers at the catchment level. Accurate and reliable modeling of suspended sediment load (SSL) is important for planning, managing, and designing of water resource structures and river systems. The objective of this study was to develo...