Improving the forecasts of extreme streamflow by support vector regression with the data extracted by self-organizing map

During typhoons or storms, accurate forecasts of hourly streamflow are necessary for flood warning and mitigation. However, hourly streamflow is difficult to forecast because of the complex physical process and the high variability in time. Furthermore, under the global warming scenario, events with...

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Veröffentlicht in:	Hydrological processes 2014-01, Vol.28 (2), p.386-397
Hauptverfasser:	Wu, Ming-Chang, Lin, Gwo-Fong, Lin, Hsuan-Yu
Format:	Artikel
Sprache:	eng
Schlagworte:	extreme events flood warning system self-organizing map streamflow forecasting support vector machine
Online-Zugang:	Volltext
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