A comparative survey between cascade correlation neural network (CCNN) and feedforward neural network (FFNN) machine learning models for forecasting suspended sediment concentration. [PDF]
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An Intelligent, low-cost water quality monitoring system with on-device machine learning and cloud integration. [PDF]
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Sediment Rating Curve and Sediment Concentration Estimation for Mahanadi River
Lecture Notes in Networks and Systems, 2021The sediment rating curve for Mahanadi River is rare to produce, so the sediment rating curve for three tributaries of size medium to large of the Mahanadi River is estimated. The various curves fitting technique has been applied to estimate the sediment rating curve.
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Regional rating curve models of suspended sediment transport for Turkey
Earth Science Informatics, 2013Estimations of annual suspended sediment loads are required for various types of water resources studies. Often estimation of the sediment load is needed for ungauged watersheds. Regionalization methods provide a practical solution to solve such problems.
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The accurate prediction of suspended sediment flowing into reservoirs is very important during their design and operation stage.
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Analysis of flow-sediment rating curve hysteresis based on flow and sediment travel time estimations
International Journal of Sediment Research, 2018Abstract A flow-sediment rating curve is used to describe the relation between flow discharge and suspended-sediment concentration for a specific location. Five types of flow-sediment rating curves - single-valued line, clockwise loop, counterclockwise loop, single-valued line plus loop, and figure eight - were found to rely on the flow and available
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Estimating suspended sediment loads in the Pearl River Delta region using sediment rating curves
Continental Shelf Research, 2012Abstract In this study, sediment rating curves are employed to study the variations in relationships between water discharge and suspended sediment concentration based on the recent 50 years of monthly data set in the three major rivers of the Pearl River Delta. Results show that sediment rating parameters vary with time.
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