Article
Analysis of the Yellow River water and sediment monitoring data
Authors
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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
W. Liu and D. Liu, “Analysis of the yellow river water and sediment monitoring data,” Applied Mathematics and Nonlinear Sciences, vol. 9, no. 1, 2024, doi: 10.2478/amns-2024-0744.
Liu W, Liu D. Analysis of the yellow river water and sediment monitoring data. Applied Mathematics and Nonlinear Sciences. 2024;9(1). doi:10.2478/amns-2024-0744.
Liu, W. and Liu, D. (2024), ‘Analysis of the yellow river water and sediment monitoring data’, Applied Mathematics and Nonlinear Sciences, 9(1). Available at: https://doi.org/10.2478/amns-2024-0744.
Liu, Wenbin, and Dongbing Liu. “Analysis of the Yellow River Water and Sediment Monitoring Data.” Applied Mathematics and Nonlinear Sciences, vol. 9, no. 1, 2024. https://doi.org/10.2478/amns-2024-0744.
Liu, Wenbin, and Dongbing Liu. “Analysis of the Yellow River Water and Sediment Monitoring Data.” Applied Mathematics and Nonlinear Sciences 9, no. 1 (2024). https://doi.org/10.2478/amns-2024-0744.
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Published by: Engineering Journals


