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Titel |
Development of models for maximum and time variation of storm surges at the Tanshui estuary |
VerfasserIn |
C.-P. Tsai, C.-Y. You |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1561-8633
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Digitales Dokument |
URL |
Erschienen |
In: Natural Hazards and Earth System Sciences ; 14, no. 9 ; Nr. 14, no. 9 (2014-09-01), S.2313-2320 |
Datensatznummer |
250118651
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Publikation (Nr.) |
copernicus.org/nhess-14-2313-2014.pdf |
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Zusammenfassung |
In this study, artificial neural networks, including both
multilayer perception and the radial basis function neural networks, are
applied for modeling and forecasting the maximum and time variation of
storm surges at the Tanshui estuary in Taiwan. The physical parameters,
including both the local atmospheric pressure and the wind field factors,
for finding the maximum storm surges, are first investigated based on the
training of neural networks. Then neural network models for forecasting the
time series of storm surges are accordingly developed using the major
meteorological parameters with time variations. The time series of storm
surges for six typhoons were used for training and testing the models, and
data for three typhoons were used for model forecasting. The results show
that both neural network models perform very well for the forecasting of the
time variation of storm surges. |
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