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Evacuation planning with flood inundation as inputs

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conference contribution
posted on 23.07.2015 by Lili Yang, Qun Liu, Shuang-Hua Yang, Dapeng Yu
Recent flooding events happening in our city demonstrate frequency and severity of floods in the UK, highlighting the need to plan and prepare, and efficiently defend. Different from the numerous evacuation model and optimization algorithms, this paper aims to address flood evacuation planning with flood inundation as inputs. A dynamic flooding model and prediction to estimate the development of both surface water and flooding from rivers and watercourses has been fed into evacuation planning at various levels. A three-step approach is proposed. The first step is to identify assembly point designation. The second step is to find the candidate shortest path from each assembly point to all safe areas for all evacuees with consideration of possible inundation. The last step is to determine the optimal safe area for evacuees in the inundation area. The work presented in this paper has emphasized timing issue in evacuation planning. A case study is given to illustrate the use of the approach.

Funding

National Environment Research Council (NERC) through the project (NE/M008770/1)

History

School

  • Social Sciences

Department

  • Geography and Environment

Published in

The 12th International Conference on Information Systems for Crisis Response and Management

Pages

0 - 0 (0)

Citation

YANG, L. et al., 2015. Evacuation planning with flood inundation as inputs. IN: Palen. L. et al. (eds.) Proceedings of the 12th International Conference on Information Systems for Crisis Response and Management, Kristiansand, Norway, 24-27 May, 8pp.

Publisher

ISCRAM 2015

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2015

Notes

This is a conference paper.

ISBN

978-82-7117-788-1

ISSN

2411-3387

Language

en

Location

Norway

Exports