The study of the change rule of the water and sand flux of the Yellow River has an important impact and significance on the environmental management, people's life, and climate change along the Yellow River basin, and also has an important theoretical guiding significance for optimizing the water resources allocation, water and sand transfer, flood prevention and disaster mitigation in the Yellow River basin. This paper analyzes and researches the water and sand fluxes as well as the change trends of a hydrological station downstream of Xiaolangdi Reservoir on the Yellow River. The main purpose is to use the actual monitoring data of water level, water flux, and sand content of a hydrological station downstream of the Yellow River Xiaolangdi Reservoir for the past 6 years, pre-process the data using MATLAB, process the missing values or abnormal values, and set up mathematical models to calculate the long-term trend of the sand content of the Yellow River, the total water flux and the total sand discharge of the hydrological station of the Yellow River in the past 6 years, as well as to predict the dynamic change of the water-sand flux and the change trend of the sand content of the Yellow River based on the calculated and analyzed data. The dynamic change of water and sand fluxes and the situation of sudden change, seasonal and cyclic patterns of sand content can set up a reasonable monitoring program for the management of the Yellow River. The research in this paper can provide reliable predictions in a short time, which can be generalized to river management and water resource allocation, and has important reference value for future river management.

Kun Zhang, Yuanmeng Li, Mingxuan Jiang, Yi Jin. Data-Driven Analysis of Water and Sediment Flux at the Xiaolangdi Station of the Yellow River. Academic Journal of Environment & Earth Science (2024), Vol. 6, Issue 2: 59-65. https://doi.org/10.25236/AJEE.2024.060208.

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