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Application of Least Squares Support Vector Machine Regression for Historical Reconstruction and Real-Time Prediction of Flood Inundation

Author(s): M. Bermudez; L. Cea; J. Puertas; J. Sopelana; S. Ruano

Linked Author(s): Jerónimo Puertas Agudo, María Bermúdez Pita, Luis Cea Gómez

Keywords: Flood inundation; Surrogate model; Least squares support vector machine; Real-time prediction; Historical reconstruction

Abstract: A surrogate model of the two-dimensional shallow water equations based on least squares support vector machine is applied to flood inundation modelling. Two applications are presented: (1) real-time prediction of flood inundation maps, and (2) reconstruction of long-term time series of water levels.

DOI: https://doi.org/10.3850/978-981-11-2731-1_222-cd

Year: 2018

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