Uncertainty Quantification of Flood Damage Estimation for Urban Drainage Risk Management

Masaru Morita, Yeou Koung Tung

研究成果: Conference contribution

抄録

The study presents an inundation damage estimation method which quantifies the uncertainty in inundation damage statistical data for urban drainage management. The flood damage is usually estimated by multiplying inundated asset value by damage rate determined by the inundation depth. The dispersions of the asset values and the damage rates related to the uncertainty were expressed quantitatively using probability distributions for the actual flood damage data surveyed by the national government. Monte Carlo simulation was utilized to calculate the damage from the two parameters with probability distributions. Thus the simulations brought about the monetary flood damage not in deterministic but in probabilistic form.

本文言語English
ホスト出版物のタイトルNew Trends in Urban Drainage Modelling - UDM 2018
編集者Giorgio Mannina
出版社Springer Verlag
ページ470-474
ページ数5
ISBN(印刷版)9783319998664
DOI
出版ステータスPublished - 2019 1 1
イベント11th International Conference on Urban Drainage Modelling, UDM 2018 - Palermo, Italy
継続期間: 2018 9 232018 9 26

出版物シリーズ

名前Green Energy and Technology
ISSN(印刷版)1865-3529
ISSN(電子版)1865-3537

Conference

Conference11th International Conference on Urban Drainage Modelling, UDM 2018
CountryItaly
CityPalermo
Period18/9/2318/9/26

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Industrial and Manufacturing Engineering
  • Management, Monitoring, Policy and Law

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