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Empirical approaches in prediction of reservoir sediment distribution——An experience of 57 reservoirs in the USA and India

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International Journal of Sediment Research 2017年第2期32卷 260-276页

作者： Dipankar Chaudhuri DVC

An accurate prediction of sediment distribution may minimize economic losses through proper and timely planning of the functional activities of a *** study assesses different temporal and spatial factors that affect for sediment deposition in a reservoir and its *** study also focuses on evaluation of two popular distribution prediction methodologies,Area Increment and Empirical Area Reduction,based on experience with sediment distribution in 57 reservoirs in the USA and India.A non-iterative processed empirical distribution model(NPEDM) and a linear regression trend model(LRTM) are proposed to predict sediment *** contributing area and inflow entering a reservoir are found to be the most significant factors affecting in reservoir sediment *** to the Empirical Area Reduction method,the Area Increment method provided better *** reservoir classification approach and empirical design distribution type curves given by Borland and Miller(1960) are found to be *** factor values for different periods indicate that reservoir shape(type) changes with ***,long term prediction is not desirable in Type-Ⅱ & Ⅲ reservoirs using the Empirical Area Reduction *** developed the NPEDM shows reasonably good prediction of sediment *** NPEDM is very easy to apply and can be used in any reservoir of any *** of the trend of sediment distribution obtained from the LRTM indicates an accurate short term prediction in a few reservoirs as causes of temporal and spatial variations of sediment distribution including the factors of uncertainties of sediment deposition are implicit within the methodology.

关键词： deposition factors Temporal and spatial variations Trend projection Model performance Type curve Relative depth

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