Research on Rain Pattern Classification Based on Machine Learning: A Case Study in Pi River Basin

Research on Rain Pattern Classification Based on Machine Learning: A Case Study in Pi River Basin

For the purpose of improving the scientific nature, reliability, and accuracy of flood forecasting, it is an effective and practical way to construct a flood forecasting scheme and carry out real-time forecasting with consideration of different rain patterns. The technique for rain pattern classific...

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Bibliographic Details
Main Authors: Xiaodi Fu, Guangyuan Kan, Ronghua Liu, Ke Liang, Xiaoyan He, Liuqian Ding
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Water
Subjects:
rain patterns
distribution over time characteristics
dynamic time planning
LightGBM
LSTM
Decision Tree
Online Access:https://www.mdpi.com/2073-4441/15/8/1570

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