基于强降水时序特征的TSVGG-Light暴雨灾情指数预测模型构建及风险灾情一致性分布验证

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Abstract This paper proposes a TSVGG-Light rainstorm disaster index prediction model based on the temporal characteristics of heavy precipitation disaster prediction.This model uses the precipitation time series characteristics from meteorological observation data as input to extract and model features from the data,and predicts the index of severe precipitation disasters in the future.In order to verify the effectiveness of the model,the paper also verified the risk disaster consistency distribution.The experimental results show that TSVGG-Light model has high accuracy and stability in the prediction of heavy precipitation disaster,and and the model prediction results have good agreement with the actual disaster distribution.The TSV GG-Light model can be an effective tool for predicting and assessing heavy precipitation disasters.

Key words： the temporal characteristics of heavy precipitation TSVGG-Light rainstorm disaster index forecasting model risk disaster consistency

Received: 11 December 2023

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	Articles by authors
	Liu Fuyongzai
	Feng Mingliang
	Huang Yunzhe
	Tian Lin

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Liu Fuyongzai,Feng Mingliang,Huang Yunzhe等. Construction of TSVGG-Light rainstorm disaster index prediction model based on the temporal characteristics of heavy precipitation and verification of risk disaster consistency distribution[J]. Meteorological Hydrological and Marine Instrument, 2024, 41(2): 41-45.

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http://www.qxswhy.com/EN/ OR http://www.qxswhy.com/EN/Y2024/V41/I2/41

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