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| Titel |
Development of an operational coastal flooding early warning system |
| VerfasserIn |
D.-J. Doong, L. Z.-H. Chuang, L.-C. Wu, Y.-M. Fan, C. C. Kao, J.-H. Wang |
| 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 Science ; 12, no. 2 ; Nr. 12, no. 2 (2012-02-17), S.379-390 |
| Datensatznummer |
250010505
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| Publikation (Nr.) |
 copernicus.org/nhess-12-379-2012.pdf |
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| Zusammenfassung |
| Coastal floods are a consistent threat to oceanfront countries, causing
major human suffering and substantial economic losses. Climate change is
exacerbating the problem. An early warning system is essential to mitigate
the loss of life and property from coastal flooding. The purpose of this
study is to develop a coastal flooding early warning system (CoFEWs) by
integrating existing sea-state monitoring technology, numerical ocean
forecasting models, historical database and experiences, as well as computer
science. The proposed system has capability of offering data for the past,
information for the present and future. The system was developed
for the Taiwanese coast due to its frequent threat by typhoons. An operational
system without any manual work is the basic requirement of the system.
Integration of various data sources is the system kernel. Numerical ocean
models play an important role within the system because they provide data
for assessment of possible flooding. The regional wave model (SWAN) that
nested with the large domain wave model (NWW III) is operationally set up
for coastal wave forecasting, in addition to the storm surge predicted by a
POM model. Data assimilation technology is incorporated for enhanced
accuracy. A warning signal is presented when the storm water level that
accumulated from astronomical tide, storm surge, and wave-induced run-up
exceeds the alarm sea level. This warning system has been in practical use
for coastal flooding damage mitigation in Taiwan for years. An example of the
system operation during the Typhoon Haitung which struck Taiwan in 2005 is illustrated
in this study. |
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