Reservoir turbidity modelling using artificial neural networks and the estimation of performance indicators
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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| Language: | English |
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2009
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| Online Access: | http://hdl.handle.net/2429/10379 |