IDENTIFICATION OF POTENTIAL STORM SURGES DUE TO TYPHOON RAI USING NUMERICAL MODELS

Justin Joseph Valdez; Tomoya Shibayama; Miguel Esteban

doi:10.9753/icce.v37.management.73

No. 37 (2022), Coastal Management, Environment, and Risk

No. 37 (2022)

IDENTIFICATION OF POTENTIAL STORM SURGES DUE TO TYPHOON RAI USING NUMERICAL MODELS

Coastal Management, Environment, and Risk

Published 2023-09-01

Justin Joseph Valdez
Tomoya Shibayama
Miguel Esteban

Justin Joseph Valdez

Tomoya Shibayama

Miguel Esteban

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IDENTIFICATION OF POTENTIAL STORM SURGES DUE TO TYPHOON RAI USING NUMERICAL MODELS. (2023). Coastal Engineering Proceedings, 37, management.73. https://doi.org/10.9753/icce.v37.management.73

Abstract

In December 2021, Typhoon Rai (local name: Odette) hit the Visayas region of the Philippines. It had a minimum sea level pressure (MSLP) of 915 hectopascals (hPa) and a maximum sustained wind speed of 54.02 m/s and was classified as a violent typhoon by the Japan Meteorological Agency. Rai caused massive damage to infrastructure and housing (NDRRMC 2022). Rai passed through the vulnerable islands of Bohol and Cebu, where high storm surge heights could be expected from strong typhoons (Lapidez et al., 2015). Field surveys were conducted right after a typhoon event to investigate the condition of the affected areas. However, Rai hit during the pandemic when travel restrictions were effective in the country. Thus, it was difficult to identify the areas hit by potential storm surges immediately. Satellite imagery is one method; however, it is generally difficult to identify if the area was affected by storm surges using images. Numerical modeling of the typhoon event over select areas is one way to solve the problem of disaster information shortage. In this study, Rai is simulated using weather and storm models over the provinces of Bohol and Cebu.

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References

Esteban et al. (2022): “Survey of Storm Surge due to Typhoon Rai in December 2021 in the Philippines”, ICCE 2022 Abstract Submission.

GEBCO Compilation Group. 2021. “GEBCO 2021 Grid”, accessed online on July 13, 2022.

JMA (2021): “RSMC Best Track Data”, accessed online on 07 February 2022.

Lapidez et al. (2015): “Identification of storm surge vulnerable areas in the Philippines through the simulation of Typhoon Haiyan-induced storm surge levels over historical storm tracks”, Nat. Hazards Earth Syst. Sci., 15, 1473-1481.

NDRRMC (2022): “Situational Report No. 46 for TC ODETTE (2021)”, accessed online on 25 Feb. 2022.

Wessel and Smith (1996): “A global, self-consistent, hierarchical, high-resolution shoreline database”, J. Geophys. Res., 101(B4), 8741-8743.

This work is licensed under a Creative Commons Attribution 4.0 International License.

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IDENTIFICATION OF POTENTIAL STORM SURGES DUE TO TYPHOON RAI USING NUMERICAL MODELS

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