Predictive Analysis of Yellow River Water and Sand Monitoring Data Based on the ARIMA Model

This paper takes the monitoring data of a hydrological station located at the downstream of Xiaolangdi Reservoir for the past 6 years as the research object, analyzes and mathematically processes the monitoring data of water and sand flux of the Yellow River, establishes a model of predicting hydrological state and law, further excavates and finds the changing law of water and sand flux and puts forward the prediction results with high credibility. It provides effective theoretical guidance for optimizing water resources allocation in the Yellow River basin, coordinating human-land relations, water and sand transfer, flood prevention and disaster reduction.