### Abstract

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.

Original language | English |
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Title of host publication | New Trends in Urban Drainage Modelling - UDM 2018 |

Editors | Giorgio Mannina |

Publisher | Springer Verlag |

Pages | 470-474 |

Number of pages | 5 |

ISBN (Print) | 9783319998664 |

DOIs | |

Publication status | Published - 2019 Jan 1 |

Event | 11th International Conference on Urban Drainage Modelling, UDM 2018 - Palermo, Italy Duration: 2018 Sep 23 → 2018 Sep 26 |

### Publication series

Name | Green Energy and Technology |
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ISSN (Print) | 1865-3529 |

ISSN (Electronic) | 1865-3537 |

### Conference

Conference | 11th International Conference on Urban Drainage Modelling, UDM 2018 |
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Country | Italy |

City | Palermo |

Period | 18/9/23 → 18/9/26 |

### Fingerprint

### Keywords

- Flood damage estimation
- Monte carlo simulation
- Uncertainty

### ASJC Scopus subject areas

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

### Cite this

*New Trends in Urban Drainage Modelling - UDM 2018*(pp. 470-474). (Green Energy and Technology). Springer Verlag. https://doi.org/10.1007/978-3-319-99867-1_80

**Uncertainty Quantification of Flood Damage Estimation for Urban Drainage Risk Management.** / Morita, Masaru; Tung, Yeou Koung.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*New Trends in Urban Drainage Modelling - UDM 2018.*Green Energy and Technology, Springer Verlag, pp. 470-474, 11th International Conference on Urban Drainage Modelling, UDM 2018, Palermo, Italy, 18/9/23. https://doi.org/10.1007/978-3-319-99867-1_80

}

TY - GEN

T1 - Uncertainty Quantification of Flood Damage Estimation for Urban Drainage Risk Management

AU - Morita, Masaru

AU - Tung, Yeou Koung

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - Flood damage estimation

KW - Monte carlo simulation

KW - Uncertainty

UR - http://www.scopus.com/inward/record.url?scp=85071602082&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85071602082&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-99867-1_80

DO - 10.1007/978-3-319-99867-1_80

M3 - Conference contribution

AN - SCOPUS:85071602082

SN - 9783319998664

T3 - Green Energy and Technology

SP - 470

EP - 474

BT - New Trends in Urban Drainage Modelling - UDM 2018

A2 - Mannina, Giorgio

PB - Springer Verlag

ER -