Research on water and sediment monitoring data analysis of Yellow River based on mathematical model

The variation law of water and sediment flux in the Yellow River has a profound impact on environmental governance, climate change and people's life along the Yellow River Basin. Based on the actual monitoring data of water level, water discharge and sediment concentration in a hydrological station on the Yellow River from 2016 to 2021, this paper mined and analyzed the variation law of water and sediment flux in the station. Based on this, the matplotlib library in Python is used to draw the time-varying water-sediment flux time series diagram. Through the parameter optimization and significance test analysis of the model, the optimal time series model SARIMA(0,1,1,12) for the water-sediment flux prediction of the Yellow River is determined. The water-sediment flux of the Yellow River in the next two years is analyzed and predicted. Finally, the actual effect of water and sediment regulation in Xiaolangdi Reservoir is analyzed. This study provides an accurate reference for the protection of the hydrological environment of the Yellow River and the “water and sediment regulation” of the Yellow River.

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Published
2025-05-16
DOI
https://doi.org/10.1145/3757110.3757200
Primary Topic
Hydrology and Watershed Management Studies
Type
article
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Research on water and sediment monitoring data analysis of Yellow River based on mathematical model

Wenfeng Tan, Gang Wang, Yaohui Pan
Hydrology and Watershed Management Studies
article

Research on water and sediment monitoring data analysis of Yellow River based on mathematical model

Wenfeng Tan, Gang Wang, Yaohui Pan
article en

Abstract

The variation law of water and sediment flux in the Yellow River has a profound impact on environmental governance, climate change and people's life along the Yellow River Basin. Based on the actual monitoring data of water level, water discharge and sediment concentration in a hydrological station on the Yellow River from 2016 to 2021, this paper mined and analyzed the variation law of water and sediment flux in the station. Based on this, the matplotlib library in Python is used to draw the time-varying water-sediment flux time series diagram. Through the parameter optimization and significance test analysis of the model, the optimal time series model SARIMA(0,1,1,12) for the water-sediment flux prediction of the Yellow River is determined. The water-sediment flux of the Yellow River in the next two years is analyzed and predicted. Finally, the actual effect of water and sediment regulation in Xiaolangdi Reservoir is analyzed. This study provides an accurate reference for the protection of the hydrological environment of the Yellow River and the “water and sediment regulation” of the Yellow River.

Jilin Engineering Normal University (CN), Jilin University of Chemical Technology (CN), Jilin Province Science and Technology Department (CN)
Openalex Percentile: Top 74%
Hydrology and Watershed Management Studies
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Research on water and sediment monitoring data analysis of Yellow River based on mathematical model — Wenfeng Tan, Gang Wang, et al. · (2025) | TGRS Research Map | TGRS