Unknown

Dataset Information

0

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


ABSTRACT: 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 ~ 66% of the observed variance and ~ 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.

SUBMITTER: Islam MR 

PROVIDER: S-EPMC8373937 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC7005259 | biostudies-literature
| S-EPMC7655860 | biostudies-literature
| S-EPMC6961847 | biostudies-literature
| S-EPMC8568897 | biostudies-literature
| S-EPMC8096961 | biostudies-literature
| S-EPMC9286652 | biostudies-literature
| S-EPMC6997351 | biostudies-literature
| S-EPMC5995094 | biostudies-literature
| S-EPMC10901343 | biostudies-literature
| S-EPMC6994974 | biostudies-literature