日本地球惑星科学連合2022年大会

講演情報

[E] ポスター発表

セッション記号 A (大気水圏科学) » A-AS 大気科学・気象学・大気環境

[A-AS01] 東アジアの異常天候・都市災害と気候変動との関わり

2022年5月29日(日) 11:00 〜 13:00 オンラインポスターZoom会場 (6) (Ch.06)

コンビーナ:Inatsu Masaru(北海道大学大学院理学研究院)、コンビーナ:高薮 縁(東京大学 大気海洋研究所)、Chairperson:Masaru Inatsu(北海道大学大学院理学研究院)

11:00 〜 13:00

[AAS01-P01] Establishment of Strong Wind Risk Optimization Standards by Regional to Improve Typhoon Impact Assessment

*Woo-Sik Jung1、Hee-Seong Yun1 (1.Department of Atmospheric Environment Information Engineering, INJE University.)

キーワード:Typhoon, Risk, Standard, Assessment

Most of the damage caused by typhoons occur due to the strong wind and heavy rain it brings, In order to predict and prepare for the possibility of damage in advance, fast provision and accuracy of information on the spatiotemporal characteristic of wind and heavy rain during a typhoon are required. Due to geographical and topographical complexity, wind strength appears to vary regionally even in a narrow spatial area on the Korean peninsula, so it is very important to set detailed regional standards for strong wind risk. Therefore, in this study, the regional strong wind risk information of the KMA (Korea Meteorological Administration), which set the whole country as the same standard value, and the regional strong wind risk information in detail considering the detailed regional strong wind characteristics were compared and analyzed. In addition, the 'maximum damage' for a region was calculated based on the strong wind risk of the typhoon impact assessment customized for the Korean Peninsula, again considering regional characteristics. Furthermore, an objective database was established as advance disaster prevention information that can be used in the actual fields. As a trial basis, the period of typhoon impact on the Korean peninsula from 2002 to 2019 was set as the research period, and the study was conducted in Seoul (west coast) and in Busan (southeast coast). If the research methods and results of this study are applied in the field, it can be an effective data for typhoon impact assessment considering regional characteristics.

This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2020R1F1A1068738)