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- Title
基于 SARIMA 预警模型的水位监测 效果分析与研究.
- Authors
张 健
- Abstract
In order to improve the accuracy of urban water level monitoring and the early warning ability of floods and other disasters, a water level monitoring and early warning model based on the seasonal autoregressive integral moving average ( SARIMA) model was proposed. This model combines autoregressive model, moving average model, and seasonal difference model, suitable for analyzing and predicting time series data with seasonal and non-stationary characteristics. The results show that the water level monitoring system based on the SARIMA warning model has a good fitting effect on the water level monitoring around the city, and can effectively monitor the water level around the city, greatly improving the warning effect of responding to urban waterlogging disasters.
- Publication
Water Conservancy Science & Techonlogy & Economy, 2024, Vol 30, Issue 4, p23
- ISSN
1006-7175
- Publication type
Article
- DOI
10.3969/j.issn.1006-7175.2024.04.005