Long-Term Flooding Maps Forecasting System Using Series Machine Learning and Numerical Weather Prediction System

Long-Term Flooding Maps Forecasting System Using Series Machine Learning and Numerical Weather Prediction System

Accurate real-time forecasts of inundation depth and area during typhoon flooding is crucial to disaster emergency response. The development of an inundation forecasting model has been recognized as essential to manage disaster risk. In the past, most researchers used multiple single-point forecasts...

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Bibliographic Details
Main Authors: Ming-Jui Chang, I-Hang Huang, Chih-Tsung Hsu, Shiang-Jen Wu, Jihn-Sung Lai, Gwo-Fong Lin
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Water
Subjects:
early flood warning
disaster risk
self-organizing map
support vector machine
flood inundation forecasting
flood inundation map
Online Access:https://www.mdpi.com/2073-4441/14/20/3346

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https://www.mdpi.com/2073-4441/14/20/3346

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