Reservoir turbidity modelling using artificial neural networks and the estimation of performance indicators

Reservoir turbidity modelling using artificial neural networks and the estimation of performance indicators

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Ensuring proper suspended sediment and turbidity control requires an understanding of water body response to turbidity-causing events. This thesis describes an approach which evaluates turbidity control using risk-based performance indicators, and which is suitable for application in a wide range...

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Bibliographic Details
Main Author:	Chan-Yan, Deborah A.
Language:	English
Published:	2009
Online Access:	http://hdl.handle.net/2429/10379

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