A new tropical cyclone surge index incorporating the effects of coastal geometry, bathymetry and storm information

被引:11
|
作者
Islam, Md. Rezuanul [1 ]
Lee, Chia-Ying [2 ]
Mandli, Kyle T. [3 ]
Takagi, Hiroshi [1 ]
机构
[1] Tokyo Inst Technol, Sch Environm & Soc, Dept Transdisciplinary Sci & Engn, Tokyo 1528550, Japan
[2] Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10964 USA
[3] Columbia Univ, Dept Appl Phys & Appl Math, Palisades, NY 10964 USA
基金
美国国家科学基金会; 日本学术振兴会;
关键词
PRESSURE; SLOWDOWN; SCALE; BAY;
D O I
10.1038/s41598-021-95825-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This study presents a new storm surge hazard potential index (SSHPI) for estimating tropical cyclone (TC) induced peak surge levels at a coast. The SSHPI incorporates parameters that are often readily available at real-time: intensity in 10-min maximum wind speed, radius of 50-kt wind, translation speed, coastal geometry, and bathymetry information. The inclusion of translation speed and coastal geometry information lead to improvements of the SSHPI to other existing surge indices. A retrospective analysis of SSHPI using data from 1978-2019 in Japan suggests that this index captures historical events reasonably well. In particular, it explains similar to 66% of the observed variance and similar to 74% for those induced by TCs whose landfall intensity was larger than 79-kt. The performance of SSHPI is not sensitive to the type of coastal geometry (open coasts or semi-enclosed bays). Such a prediction methodology can decrease numerical computation requirements, improve public awareness of surge hazards, and may also be useful for communicating surge risk.
引用
收藏
页数:14
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