Abstract

In July 2018, Super Typhoon Maria moved in the northwestward direction, passed by the northern tip of Taiwan Island, and severely impacted the coasts along Fujian and Zhejiang Provinces, China. In this paper, the storm surge and wind waves induced by Typhoon Maria are numerically simulated using a weather research and forecasting (WRF) model and the wind–surge–wave modeling suite [semi-implicit cross-scale hydroscience integrated system model (SCHISM)—wind wave model III (WWMIII)]. Numerical results are compared against available field measurements, including winds, atmospheric pressures, storm tides, and wave parameters. Using the model results, the significance of waves on modulating storm surges during Typhoon Maria is examined. Wind waves contribute significantly to surge heights in the Taiwan Strait and in nearshore waters. The models are then employed to conduct numerical experiments by reducing the topographic heights of Taiwan to 25% of their original values so as to investigate their effects on wind fields, surges, and currents. From these results, we observe that reduced topography weakens the wind intensity on the eastern side of the island while intensifying the wind on the other side of the island by up to 10 m/s, which is due to the terrain-induced blocking and channeling effects. The scenario with reduced topography also shows elevated surge heights on the right-hand side of typhoon landfalling coasts but slightly attenuated surge in the Taiwan Strait. Storm surge tends to increase the southwestwardly flux via the Taiwan Strait with maximum current velocities increased by approximately 0.5 m/s, compared with the case induced by astronomical tides only. The reduced island topography slightly weakens the southwestwardly current, decreasing maximum flux by approximately 16%, relative to the hindcast simulation using the original island topography. The results in this study indicate that the presence of island influences the propagation of surge wave with elevated surge height and storm-induced flux in the Taiwan Strait, this blocking effect weakens with reduced island topographic heights; meanwhile, the terrain-induced channeling effect, which alters the typhoon circulation and further impacts the surge pattern, is prone to forming in the case of high island topography.

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Acknowledgments

We would like to dedicate this paper to Professor Theodore Yaotsu Wu of Caltech for his leadership in water wave research and its applications to coastal hazards. This research was supported by the National Key Research and Development Program of China (Grant No. 2018YFC0407506) and the Ng Teng Fong Charitable Foundation (Hong Kong) under the joint research project “The impact of climate changes on coastal flooding hazard in South and East China Seas” between National University of Singapore and Tsinghua University. This work was also supported by the Key Laboratory of Ministry of Education for Coastal Disaster and Protection in Hohai University, Guangdong Province Introduced Innovative R&D Team of Geological Processes and Natural Disasters around the South China Sea (2016ZT06N331), and National Natural Science Foundation of China (41774049, 41976197 and 51761135015). The WRF model can be downloaded from https://www2.mmm.ucar.edu/wrf/users/downloads.html after registration. The SCHISM modeling suite is available at http://ccrm.vims.edu/schismweb. The meteorological data for comparing WRF results was obtained from https://gis.ncdc.noaa.gov/maps/ncei, and the astronomical tide data was retrieved from https://uhslc.soest.hawaii.edu/. The GEBCO data used in this study was downloaded from http://www.gebco.net in October 2014. The navigational charts in the Zhejiang and Fujian Provinces were purchased from Beijing Situo Ocean Information Technology Co. Ltd. The coastline data used for establishing numerical model and generating plots was retrieved from the GSHHG (Global Self-consistent, Hierarchical, High-resolution Geography Database) shoreline database (Wessel and Smith 1996; https://www.ngdc.noaa.gov/mgg/shorelines/gshhs.html). The hindcast products of WAVEWATCHIII were downloaded from ftp://ftp.ifremer.fr/ifremer/ww3/HINDCAST.

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Go to Journal of Waterway, Port, Coastal, and Ocean Engineering
Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 147Issue 2March 2021

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Received: May 12, 2020
Accepted: Sep 1, 2020
Published online: Nov 30, 2020
Published in print: Mar 1, 2021
Discussion open until: Apr 30, 2021

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Key Laboratory of Ministry of Education for Coastal Disaster and Protection, Hohai University, 1 Xikang Rd., Gulou District, Nanjing 210098, China (corresponding author). ORCID: https://orcid.org/0000-0002-1083-1321. Email: [email protected]
Chuan-yao Lin [email protected]
Research Center for Environmental Changes, Academia Sinica, No. 128, Sec. 2, Academia Rd., Taipei 115201, Taiwan. Email: [email protected]
Haijiang Liu [email protected]
College of Civil Engineering and Architecture, Zhejiang Univ., 866 Yuhangtang Rd., Hangzhou 310058, China. Email: [email protected]
Dept. of Earth Sciences and Engineering, Sun Yat-Sen Univ., 135 Xingang Xi Rd., Guangzhou 510275, China. Email: [email protected]
Graduate Institute of Hydrological and Oceanic Sciences, National Central Univ., No. 300, Zhongda Rd., Zhongli District, Taoyuan 32001, Taiwan. Email: [email protected]
Peitao Wang [email protected]
National Marine Environmental Forecasting Center (NMEFC), No. 8 Dahuisi Rd., Haidian District, Beijing 100081, China. Email: [email protected]
National Marine Environmental Forecasting Center (NMEFC), No. 8 Dahuisi Rd., Haidian District, Beijing 100081, China. Email: [email protected]
Philip L.-F. Liu, Dist.M.ASCE [email protected]
Dept. of Civil and Environmental Engineering, National Univ. of Singapore, Engineering Drive 2, Block E1A #07-03, Singapore 117576, Singapore. Email: [email protected]

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