Modeling of storm-induced coastal flooding for emergency management

Cheung, Kwok Fai; Phadke, Amal C.; Wei, Yong; Rojas, Rodrigo; Douyere, Y.J.-M.; Martino, Christopher D.; Houston, Sam; Liu, Philip L.‐F.; Lynett, Patrick; Dodd, Nicholas; Liao, Shijun; Nakazaki, Eiji

doi:10.1016/s0029-8018(02)00133-6

Cited by 94 publications

(42 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For example, Kawahara et al (1980), Westerink et al (1992), Blainetal (1994), and Hsu et al (1999) applied the finite element method for this purpose, while Yen and Chou (1979), Walton and Christensen (1980), Harper and Sobey (1983), and Hwang and Yao (1987) applied the finite difference method with nonlinear shallow water equations to simulate storm surges. Coupled wave-surge models have been proposed to simulate coastal flooding resulting from storm surges and waves generated by tropical cyclones (Cheung et al, 2003). Recently, Doong et al (2012) developed an operational coastal flooding early warning system that considered both wave setup and storm surge, in which the storm surge is predicted by the Princeton Ocean Model (POM).…”

Section: Introductionmentioning

confidence: 99%

Development of models for maximum and time variation of storm surges at the Tanshui estuary

Tsai

You

2014

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. In this study, artificial neural networks, including both multilayer perception and the radial basis function neural networks, are applied for modeling and forecasting the maximum and time variation of storm surges at the Tanshui estuary in Taiwan. The physical parameters, including both the local atmospheric pressure and the wind field factors, for finding the maximum storm surges, are first investigated based on the training of neural networks. Then neural network models for forecasting the time series of storm surges are accordingly developed using the major meteorological parameters with time variations. The time series of storm surges for six typhoons were used for training and testing the models, and data for three typhoons were used for model forecasting. The results show that both neural network models perform very well for the forecasting of the time variation of storm surges.

show abstract

Section: Introductionmentioning

confidence: 99%

Development of models for maximum and time variation of storm surges at the Tanshui estuary

Tsai

You

2014

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…This algorithm was implemented in numerical models and case studies conducted for various coastal settings around Australia 59 . Cheung et al 60 have discussed the critical need of coastal flood modelling for emergency management operations. Their study employed a system of four models to predict coastal flooding.…”

Section: Hubbert and Mcinnesmentioning

confidence: 99%

“…A pre-processor drives these four models that generates the computational grids and input atmospheric conditions, manages the data exchange between component models, and finally automates the simulation process with minimal user intervention. Cheung et al 60 validated the performance of this coupled modelling system for different case scenarios. The case study provided the wave and surge conditions simulated for hurricanes Ikini and Iwa that hit the Hawaiian Island of Kauai in 1982 and 1992 respectively.…”

Section: Hubbert and Mcinnesmentioning

confidence: 99%

Coastal Inundation Research:An overview of the Process

2017

View full text Add to dashboard Cite

Coastal inundation is the flooding of coastal zone resulting from increased river discharge, spring tides, severe storms, or generation of powerful waves from tectonic activity (tsunami). This article discusses the critical factors that contribute to coastal inundation. Among the probable factors that cause coastal flooding and destruction, storm surge is the most frequent, and hence this article provides a detailed evaluation of the progress made in storm inundation research. Recent advances in coastal inundation modelling include efforts to understand the nonlinear dynamic interaction of near-shore waves, wind and atmospheric pressure with still water sea level and coastal currents, and their combined effects on storm surge along the coast and interaction with coastal morphology. An advanced storm-surge model comprises different modules, viz. an atmospheric component, and two ocean components for surge and wave simulations; these modules are coupled with each other. The nesting of regional coastal model with an ocean-wide model captures the far-field boundary forcing of extreme events that usually originate from the warm open ocean. Even though significant advancements reported on the efficiency and accuracy of storm surge and inundation prediction, further studies are required to understand the nonlinear interaction of storm surge with coastal landforms and their vegetation (land cover). In the context of rising sea level, increased tropical cyclone activity and rapid shoreline change, it is pertinent to evaluate the future flooding risk associated with landfall of tropical cyclones in densely populated coastal cities.

show abstract

“…Due to the high risk of storm surge, there were also many studies conducted in Louisiana, USA (Westerink et al, 2008;Wamsley et al, 2009;Sheng et al, 2010;Butler et al, 2012) and the 20 Gulf of Mexico area (Dietrich et al, 2011a;Dietrich et al, 2011b;Dietrich et al, 2012). Cheung et al (2003) also analysed the emergency plan for Hawaii based on storm surge simulations. McInnes et al (2003) utilized a storm surge model to examine the impact of sea level rise and storm surge on the north-eastern Australian coast.…”

Section: Previous Workmentioning

confidence: 99%

Meso-scale Simulation of Typhoon Generated Storm Surge: Methodology and Shanghai Case Study

Dong¹,

Stephenson²,

Wakes³

et al. 2017

Preprint

View full text Add to dashboard Cite

Abstract. The increasing vulnerability of coastal mega-cities to storm surge inundation means both infrastructure and populations are subject to significant threat. Planning for further urban development should include consideration of the 10 changing circumstances in coastal cities to ensure a sustainable future. A sustainable urban plan relies on well preparedness and prediction of future climate change and multiple natural hazards. In light of these needs for urban planning, this paper develops a general method to simulate typhoon generated storm surge at the meso-scale (1 -100 km in length). Meso-scale simulation provides a general approach that could be implemented to fulfil the purpose of planning, and has relatively low requirements for computation time and data, while still providing reasonable accuracy. The case study of Shanghai was chosen 15 to implement this method. The meso-scale simulated results of two historical typhoons not only provides a realistic result at the city level, but is also suitable for implementing a large amount of simulations for future scenario studies. The method is generally applicable to all coastal cities around the world to examine the effect of future climate change on typhoon generated storm surge, even where historical observed data are inadequate or not available.

show abstract

Modeling of storm-induced coastal flooding for emergency management

Cited by 94 publications

References 37 publications

Development of models for maximum and time variation of storm surges at the Tanshui estuary

Development of models for maximum and time variation of storm surges at the Tanshui estuary

Coastal Inundation Research:An overview of the Process

Meso-scale Simulation of Typhoon Generated Storm Surge: Methodology and Shanghai Case Study

Contact Info

Product

Resources

About