Extraction of Spatiotemporal Distribution Characteristics and Spatiotemporal Reconstruction of Rainfall Data by PCA Algorithm

Extraction of Spatiotemporal Distribution Characteristics and Spatiotemporal Reconstruction of Rainfall Data by PCA Algorithm

Scientific analyses of urban flood risks are essential for evaluating urban flood insurance and designing drainage projects. Although the current rainfall monitoring system in China has a dense station network and high-precision rainfall data, the time series is short. In contrast, historical rainfa...

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Bibliographic Details
Main Authors: Yuanyuan Liu, Yesen Liu, Shu Liu, Hancheng Ren, Peinan Tian, Nana Yang
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Water
Subjects:
machine learning
PCA algorithm
spatiotemporal distribution of heavy rain
feature extraction
low-resolution reconstruction
Luzhou
Online Access:https://www.mdpi.com/2073-4441/15/20/3596

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