A Support Vector Machine Forecasting Model for Typhoon Flood Inundation Mapping and Early Flood Warning Systems

A Support Vector Machine Forecasting Model for Typhoon Flood Inundation Mapping and Early Flood Warning Systems

Accurate real-time forecasts of inundation depth and extent during typhoon flooding are crucial to disaster emergency response. To manage disaster risk, the development of a flood inundation forecasting model has been recognized as essential. In this paper, a forecasting model by integrating a hydro...

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Bibliographic Details
Main Authors: Ming-Jui Chang, Hsiang-Kuan Chang, Yun-Chun Chen, Gwo-Fong Lin, Peng-An Chen, Jihn-Sung Lai, Yih-Chi Tan
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Water
Subjects:
early flood warning
disaster risk
<i>k</i>-means clustering algorithm
support vector machine
flood inundation forecasting
flood inundation map
Online Access:https://www.mdpi.com/2073-4441/10/12/1734

Internet

https://www.mdpi.com/2073-4441/10/12/1734

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