Simulating typhoon waves by SWAN wave model in coastal waters of Taiwan

Ou, Shan‐Hwei; Liau, Jian-Ming; Hsu, Tai‐Wen; Tzang, Shiaw-Yih

doi:10.1016/s0029-8018(01)00049-x

Cited by 83 publications

(35 citation statements)

References 17 publications

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“…In this study, the NOAA WAVE-WATCH III (NWWIII) model (Tolman, 1991) is used for simulating waves in the East Asia domain, and the SWAN model (Booij et al, 1999) is used for simulating coastal waves because it has high spatial resolution and uses superior physics calculations for shallow water areas. Ou et al (2002) has demonstrated the capability of typhoon wave simulation using SWAN. The Princeton Ocean Model (POM) (Blumberg and Mellor, 1987) is used for storm surge forecasting in the proposed warning system.…”

Section: Operational Numerical Modelingmentioning

confidence: 99%

Development of an operational coastal flooding early warning system

Doong

Chuang

et al. 2012

Nat. Hazards Earth Syst. Sci.

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Abstract. 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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Section: Operational Numerical Modelingmentioning

confidence: 99%

Development of an operational coastal flooding early warning system

Doong

Chuang

et al. 2012

Nat. Hazards Earth Syst. Sci.

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“…The East coasts consists of rocks and gravel and high mountains (many of them are more than 3000 m high) plunging down into the sea with a steep slope (slope in order of 1 in 10; (Ou et al, 2002)), resulting in 4000 m of water depth less than 50 km off the coast. Conversely, the western coastal plains, which are our areas of interest, consist of finer sand with a very mild slope (slope in order of 1 in 200 to 500; (Ou et al, 2002)) due to the occurrence of the Taïwan strait. Taïwan straight is 350-400 km long, 180-200 km large and less than 60 m deep continental shelf between Taïwan and mainland China (Lin et al, 2005;Liao et al, 2008;Zhang et al, 2013).…”

Section: Geodynamics Contextmentioning

confidence: 99%

“…The former are associated to small waves (H s < 1 m, 4 < T p < 7s) (Zhang et al, 2013) while the six to eight typhoons crossing or passing close to the island each year (Lin, 2013;Zhang et al, 2013) drive extreme winds, waves (32 m during the typhoon Krosa in 2007 (Liu et al, 2008)) and rain falls (2777 mm of water measured during the Morakot typhoon in 2009 (Ge et al, 2010)). Typhoons are mainly generated in either the South China Sea or the North-West Pacific Ocean East of the Philippine islands (Ou et al, 2002). From April to May, the spring winds correspond to a transitional period between monsoon and summer regimes.…”

Section: Hydro-morphodynamics Contextmentioning

confidence: 99%

Typhoons Driven Morphodynamics of the Wan-Tzu-Liao Sand Barrier (Taïwan)

Campmas

Bouchette²,

Meulé³

et al. 2014

Int. Conf. Coastal. Eng.

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This study focuses on the dynamics of the Wan-Tzu-Liao sand barrier when it is struck by one typhoon, a group of typhoons or the whole season of typhoons and monsoon. In the framework of the KUN-SHEN project, 7 months of monitoring (2011)(2012) provided 20 topobathymetric surveys (within a 200 m long segment of the barrier from the subtidal zone to the back-barrier) and acquisitions of offshore, nearshore and shallow water hydrodynamics including velocity profiling, free surface measurement and absolute pressure. Offshore waves were extracted at Cigu buoy (18 m of water depth). Nearshore waves were acquired from the current profiler deployed 400 m off the coast in 4 m of water depth and water level on the subaerial beach were acquired from two pressure sensors deployed in the lower part of the subtidal zone and the dune crest. Morphologic changes of the emerged beach were monitored using D-GPS each week during winter monsoon season and just before and after each event during summer typhoons season. Amongst the eight studied typhoons, TALIM is the most energetic event observed. Offshore wave height reached H s = 10.34 m (T p = 14.6 s) at Cigu buoy and H s = 2.3 m (T p = 13.4 s) at the profiler. Surface waves dynamics throughout surf and swash zones are progressively dominated by infragravity motions. A part of the dune is surged at the storm apex. Morphological changes include 6.7 m of dunefoot retreat and a sand transfer from a dune breach to wash-over deposits in the lagoon. More surprisingly, the foreshore was nourished (2261 m

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“…The methodology followed was that described by Plan et al (2002), which had already been applied in Rio Grande do Sul in studies on shoreface delimitation on the Tramandaí continental platform -Rio Grande do Sul (GRUBER et al, 2006).…”

Section: Preparation Of a Bathymetric Model Of The Lakementioning

confidence: 99%

Dynamic and resuspension by waves and sedimentation pattern definition in low energy environments: guaíba lake (Brazil)

2013

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A B S T R A C TLittle research has been undertaken into sediment dynamics in lakes, and most of it only analyses particular aspects such as the texture of the sediments. In this study, the characteristics of the wave field in Guaíba Lake are investigated. The parameters significant wave height (Hs), period (T) and direction of wave propagation are examined together with their relation to the resuspension of sediments at the bottom. For this purpose, the mathematical model SWAN (Simulating Waves Nearshore) has been validated and employed. The results pointed out that the highest waves modeled reached 0.55 m at a few points in the lake, particularly when winds were blowing from the S and SE quadrants with an intensity over 7 m.s-1. Generally speaking, waves follow wind intensity and direction patterns, and reach maximum height in about 1 to 2 hours after wind speed peaks. Whenever winds were stronger, waves took some 2 hours to reach 0.10 m. However, with weak to moderate winds, the waves took around 3 hours to achieve this value in significant wave height. In addition to speed and direction, wind regularity proved relevant in generating and propagating waves on Lake Guaíba. In conclusion the lake's sediment environments were mapped and classified as follows: 1) Depositional Environments (51% of the lake); 2) Transitional Environments (41%); and 3) Erosional or Non-Depositional Environments (8%). As a contribution to the region's environmental management, elements have been created relating to the concentration of suspended particulate matter. R E S U M OPesquisas referentes à dinâmica sedimentar em lagos são escassas e a maioria trata da distribuição e textura dos sedimentos, sendo raras aquelas que fazem menção ao padrão de ondas e suas relações com a ressuspensão destes sedimentos e suas consequências. Este trabalho analisa as características das ondas incidentes no Lago Guaíba (Brasil) por meio da utilização do SWAN (Simulating Waves Nearshore) e suas relações com a ressuspensão de sedimentos junto ao fundo. Os resultados mostraram que as maiores ondas incidentes atingiram 0.55 m, particularmente quando de ventos do quadrante S e SE e com velocidades maiores que 7 m/s. Em termos gerais, as características das ondas seguem os padrões de intensidade e direção dos ventos, atingindo seus máximos valores aproximadamente 1 ou 2 horas após a velocidade de pico dos ventos. Em conclusão, os ambientes de sedimentação do lago foram mapeados e classificados da seguinte forma: 1) Ambientes Depositionais (51% da área do lago); 2) Ambientes Transicionais (41%); e 3) Ambientes Erosionais ou de não deposição (8%).Como forma de contribuir à gestão ambiental da região, foram gerados subsídios referentes ao potencial de concentração de material particulado em suspensão.

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Simulating typhoon waves by SWAN wave model in coastal waters of Taiwan

Cited by 83 publications

References 17 publications

Development of an operational coastal flooding early warning system

Development of an operational coastal flooding early warning system

Typhoons Driven Morphodynamics of the Wan-Tzu-Liao Sand Barrier (Taïwan)

Dynamic and resuspension by waves and sedimentation pattern definition in low energy environments: guaíba lake (Brazil)

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