• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to project page

2023 Fiscal Year Final Research Report

Development of numerical model of storm surge inundation seamlessly considering hydraulic phenomena in shallow water, levees and land areas

Research Project

  • PDF
Project/Area Number 22K20447
Research Category

Grant-in-Aid for Research Activity Start-up

Allocation TypeMulti-year Fund
Review Section 0303:Civil engineering, social systems engineering, safety engineering, disaster prevention engineering, and related fields
Research InstitutionTottori University

Principal Investigator

Fukui Nobuki  鳥取大学, 工学研究科, 助教 (70962306)

Project Period (FY) 2022-08-31 – 2024-03-31
Keywords市街地浸水 / 高潮 / 建物モデル / 質量保存則 / 浸水
Outline of Final Research Achievements

The objective of the research project is set to develop a model that seamlessly evaluates hydraulic phenomena associated with storm surge in shallow water and land areas, with particular emphasis on modeling buildings during inundation. The model was developed by the principal investigator for a subgrid model of storm surge inundation in urban areas, and the building information was fed back to the mass conservation law, which had been identified as a problem. The developed model was applied to an idealized numerical experiment using a simple urban topography, a reproduction of an inundation experiment using an urban model, and a storm surge inundation calculation for the Tokyo Bay coastal area. The results are more consistent with experimental and high-resolution calculations of the inundation depth and extent.

Free Research Field

海岸工学

Academic Significance and Societal Importance of the Research Achievements

市街地を対象とした高潮浸水計算において,建物形状を考慮する場合は建物を解像可能な高解像度計算が求められ,計算負荷の観点から建物よりも粗い解像度で建物形状を考慮できる数値モデルが求められる.当該研究では,建物幅よりも格子間隔が大きい解像度でも建物群を一括で表現可能なモデル構築を行い,質量保存則の改良により浸水深及び浸水範囲について水理実験や高解像度計算とより整合する結果を得ることに成功した.本モデルの運用を,気候変動予測結果を外力とした大量ケースの高潮浸水計算に発展させることによって,気候変動による高潮浸水リスク評価を行うことが可能になると期待される.

URL: 

Published: 2025-01-30  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi