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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 electronic resource (148 p.)
Soggetto topico: Technology: general issues
Soggetto non controllato: coastal freak wave
probabilistic forecasting
artificial neural network
storm wave height
super typhoon
wave-circulation model
hybrid winds
coastal hazard
vulnerability assessment
unmanned aerial vehicle
landscape
wave distribution
typhoon tracks
WAVEWATCH-III
typhoon wave climate
empirical orthogonal function
aeolian processes
surface moisture
storm surge
supply limitations
fetch
SCHISM-WWM-III
ERA5
direct modification method
storm wave
tidal elevation
tidal current
typhoon wave
SWAN
FVCOM
current
sea-water level
numerical modeling
statistical analysis
artificial intelligence techniques
storm tide
coastal morphology
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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