Urban shoreline amplification of storm surge during extreme tropical cyclones: Current and future flood risks
极端热带气旋期间风暴潮的城市海岸线放大:当前和未来的洪水风险
基本信息
- 批准号:20K15003
- 负责人:
- 金额:$ 2.75万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for Early-Career Scientists
- 财政年份:2020
- 资助国家:日本
- 起止时间:2020-04-01 至 2024-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Complex urban shorelines can amplify storm surge from extreme tropical cyclones in ways that are different from natural coasts. The purpose of this research is to identify main properties that amplify storm surge and better understand present and future flood risks that urban coastal communities face. A high-resolution storm surge model is being developed and coupled with a large-ensemble climate dataset in order to quantify changes in urban flood risk. This research is being conducted in two main phases: modeling and simulation.Work on Phase 1 (model development) continued in FY2022 with the assistance of two international experts. A prototype with a spatially-flexible finite difference numerical scheme was used to investigate the role bathymetry plays in urban storm surge amplification in Osaka Bay. Parallel work on Phase 2 (ensemble simulation) continued in FY2022. A dataset generated in FY2021 was used to analyze changes in extreme tropical cyclone events and how they might affect coastal flooding in the target areas.Research results from this project were presented at both domestic and international venues. An international conference session was organized in Japan in early FY2022 to facilitate discussion on the research topic and to encourage international collaboration. The conference included domestic and international speakers, both early-career and established. In addition, results of Phase 2 were presented at the Institute for Mathematical and Statistical Innovation (USA) during a three-month workshop, and at Argonne National Laboratory in Chicago (USA).
复杂的城市海岸线会以不同于自然海岸的方式放大极端热带气旋带来的风暴潮。这项研究的目的是确定放大风暴潮的主要特性,更好地了解城市沿海社区目前和未来面临的洪水风险。目前正在开发一个高分辨率风暴潮模型,并与一个大型集合气候数据集相结合,以量化城市洪水风险的变化。这项研究主要分两个阶段进行:建模和仿真。在两名国际专家的协助下,第一阶段(模型开发)的工作在2022财年继续进行。利用空间柔性有限差分数值格式的原型,研究了水深测量在大阪湾城市风暴潮放大中的作用。第二阶段(集成模拟)的并行工作在2022财年继续进行。2021财年生成的数据集用于分析极端热带气旋事件的变化以及它们如何影响目标地区的沿海洪水。该项目的研究成果已在国内外发表。于2022财年初在日本组织了一次国际会议,以促进对研究主题的讨论并鼓励国际合作。会议邀请了来自国内和国际的演讲者,既有创业初期的,也有成熟的。此外,在数学和统计创新研究所(美国)为期三个月的讲习班和芝加哥阿贡国家实验室(美国)介绍了第二阶段的结果。
项目成果
期刊论文数量(20)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Uncertainty in future projections of extreme ocean waves
未来极端海浪预测的不确定性
- DOI:
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Seike Miho;Lu Yung-Chi;Kawabata Nobuyoshi;Hasegawa Masato;Adrean Webb
- 通讯作者:Adrean Webb
San Diego State University/Department of Mathematics and Statistics(米国)
圣地亚哥州立大学/数学与统计系(美国)
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
Argonne National Laboratory/Environmental Science Division(米国)
阿贡国家实验室/环境科学部(美国)
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
Progress on Detection and Analysis of Cyclones and Associated Coastal Waves Using Mega-Ensemble and Seamless MRI-AGCM Projections
利用巨型系综和无缝 MRI-AGCM 投影检测和分析气旋及相关海岸波浪的进展
- DOI:
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Adrean Webb;Tomoya Shimura;Nobuhito Mori
- 通讯作者:Nobuhito Mori
University of Colorado Boulder/Department of Applied Mathematics(米国)
科罗拉多大学博尔德分校/应用数学系(美国)
- DOI:
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- 期刊:
- 影响因子:0
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