Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

April 10, 2024


Pages


DOI

Article

Analysis of the Yellow River water and sediment monitoring data

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Authors

Wenbin Liu Affiliation:
Wuhan Technology And Business University, Wuhan, 430065, Hubei, China
and Dongbing Liu Affiliation:
College of Mathematics and Computer, Panzhihua University, Panzhihua, 617000, Sichuan, China.


Abstract

Graphics are drawn about the sediment content, water flow, and water level of the Yellow River with time. A cluster scatter plot of sand content is made with changes over time. Using variance analysis of a factor, it is concluded that sediment content is affected by two variables month and year. By studying the changing pattern of water-sand flux, the timing diagram of the water and sediment flux of the Yellow River with time is drawn. The flux of water and sand is predicted for the next two years. According to the prediction results, the optimal sampling and monitoring scheme is developed.


Keywords

water and sediment, variance analysis of a factor, water-sand flux, linear-regression analysis, 00A71


Citation

Liu, W. & Liu, D. (2024). Analysis of the yellow river water and sediment monitoring data. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0744

Published by: Engineering Journals

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