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| Titel |
Simplified Spatially-distributed Model for Inundation Simulations |
| VerfasserIn |
M. H. Hsu, C. J. Huang, Y. H. Su, A. S. Chen |
| Konferenz |
EGU General Assembly 2009
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 11 (2009) |
| Datensatznummer |
250024963
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| Zusammenfassung |
| Although traditional inundation models have been applied with good accuracy in Taiwan,
they usually require a long computing time for simulations. However, the meteorological and
geographical conditions in Taiwan frequently cause inundation within a short time period
when storm occurs. The lead-time for emergency response in too short to indicate
the areas with high flood risks for evacuation by using the traditional inundation
models.
The study established an inundation model for Taiwan and integrated the QPESUMS
system which constructed and developed by the Central Weather Bureau. The radar
precipitations by the QPESUMS system, as well as the rain-gauge records, are considered in
the inundation model for real-time simulations. The precipitation data of typhoon NARI were
simulated and evaluated different scale of grid size that the accuracy and efficiency of model
would be suggested for practical applications.
The Keelung River basin is adopted as the study areas of the inundation model. By use of
QPESUMS radar precipitation for the typhoon HAITANG and KROSA, the inundation
simulations can be calculated in a short time. The model will be executed in the future, to
simulate the flood scenarios induced by the occurring and the forecasted rainfalls. The
inundation will be predicted in 1-3 hours ahead to help the emergency managers taking
proper strategies for disaster mitigations.
Traditional inundation models have been widely applied with good accuracy to many
studies in Taiwan. The main drawback of these models is that extraordinary requirement of
computing time, which causes the obstacle for real-time applications. The meteorological and
geographical conditions in Taiwan frequently result in flashfloods within short time
periods when storms occur. The lead time for emergency response is too short to
indicate the areas with high flood risks by using the traditional inundation models. |
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