What is it about?

Through fitting and predicting the annual sediment concentration in Gaocun station, it is shown that the MEEMD-ARIMA model not only considers the evolution of sediment concentration in various frequency domains, but also solves the problem that the ARIMA model requires sequence to be stable, the relative error of prediction is within ±6%, and the prediction accuracy is high, thus providing a new method for the prediction of sediment concentration.

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Why is it important?

Through fitting and predicting the annual sediment concentration in Gaocun station, it is shown that the MEEMD-ARIMA model not only considers the evolution of sediment concentration in various frequency domains, but also solves the problem that the ARIMA model requires sequence to be stable, the relative error of prediction is within ±6%, and the prediction accuracy is high, thus providing a new method for the prediction of sediment concentration.

Perspectives

I hope that through the research content and results of this paper, we can provide a new solution and application model for sediment concentration prediction of other rivers.

Liu Fei

Read the Original

This page is a summary of: Prediction of sediment concentration based on the MEEMD-ARIMA model in the lower Yellow River, Journal of Water and Climate Change, November 2019, IWA Publishing, DOI: 10.2166/wcc.2019.077.
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