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Storm Tide and Wave Simulations and Assessment



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Autore: Hsiao Shih-Chun Visualizza persona
Titolo: Storm Tide and Wave Simulations and Assessment Visualizza cluster
Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica: 1 online resource (148 p.)
Soggetto topico: Technology: general issues
Soggetto non controllato: aeolian processes
artificial intelligence techniques
artificial neural network
coastal freak wave
coastal hazard
coastal morphology
current
direct modification method
empirical orthogonal function
ERA5
fetch
FVCOM
hybrid winds
landscape
numerical modeling
probabilistic forecasting
SCHISM-WWM-III
sea-water level
statistical analysis
storm surge
storm tide
storm wave
storm wave height
super typhoon
supply limitations
surface moisture
SWAN
tidal current
tidal elevation
typhoon tracks
typhoon wave
typhoon wave climate
unmanned aerial vehicle
vulnerability assessment
wave distribution
wave-circulation model
WAVEWATCH-III
Persona (resp. second.): ChiangWen-Son
ChenWei-Bo
HsiaoShih-Chun
Sommario/riassunto: In this Special Issue, seven high-quality papers covering the application and development of many high-end techniques for studies on storm tides, surges, and waves have been published, for instance, the employment of an artificial neural network for predicting coastal freak waves [1]; a reproduction of super typhoon-created extreme waves [2]; a numerical analysis of nonlinear interactions for storm waves, tides, and currents [3]; wave simulation for an island using a circulation-wave coupled model [4]; an analysis of typhoon-induced waves along typhoon tracks in the western North Pacific Ocean [5]; an understanding of how a storm surge prevents or severely restricts aeolian supply [6]; and an investigation of coastal settlements and an assessment of their vulnerability [7].
Titolo autorizzato: Storm Tide and Wave Simulations and Assessment  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910557204203321
Lo trovi qui: Univ. Federico II
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