Stepwise Identification of Influencing Factors and Prediction of Typhoon Precipitation in Anhui Province Based on the Back Propagation Neural Network Model

Stepwise Identification of Influencing Factors and Prediction of Typhoon Precipitation in Anhui Province Based on the Back Propagation Neural Network Model

Typhoon is one of the most frequent meteorological phenomena that covers most of central-eastern China during the summer. Typhoon-induced precipitation is one of the most important water resources, but it often leads to severe flood disasters. Accurate typhoon precipitation prediction is crucial for...

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Bibliographic Details
Main Authors: Yuliang Zhou, Yang Li, Juliang Jin, Ping Zhou, Dong Zhang, Shaowei Ning, Yi Cui
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Water
Subjects:
typhoon precipitation
stepwise identification of factors
typhoon precipitation prediction
influencing factors
back propagation model
Anhui Province
Online Access:https://www.mdpi.com/2073-4441/13/4/550

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