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International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP) (12th : 2015)
Probabilistic assessment of increased flooding vulnerability in Christchurch city after the Canterbury 2010-2011 Earthquake Sequence, New Zealand Cavalieri, Francesco; Franchin, Paolo; Ko, Su Young; Giovinazzi, Sonia; Hart, Deirdre E.
Abstract
Major earthquakes can extensively transform the above and below ground natural and built environments of cities, leading to decreased drainage system capacity and, ultimately, to Increased Flooding Vulnerability (IFV). This has been the case for Christchurch city in New Zealand, which experienced the 2010 to 2011 Canterbury Earthquake Sequence (CES). These seismic events were followed by extreme rainfall in March-April 2014, with much of the city experiencing damaging flooding. This paper uses data from a Christchurch case study to extend a recently-developed infrastructure damage simulation tool to the probabilistic assessment of earthquake-altered flood risk in a built environment. In particular, the focus is on the IFV caused by the earthquake-induced damage to the pipeline component of Christchurch’s storm water system, which was analysed at both connectivity and capacity levels. The probabilistic analysis was carried out via a plain Monte Carlo simulation, enabling the uncertainty affecting several key parameters to be taken into account. Final analysis results are presented spatially and in the form of cumulative distribution of flood height, the latter being an impact metric of great interest for infrastructure owners and emergency managers.
Item Metadata
Title |
Probabilistic assessment of increased flooding vulnerability in Christchurch city after the Canterbury 2010-2011 Earthquake Sequence, New Zealand
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Creator | |
Contributor | |
Date Issued |
2015-07
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Description |
Major earthquakes can extensively transform the above and below ground natural and
built environments of cities, leading to decreased drainage system capacity and, ultimately, to Increased
Flooding Vulnerability (IFV). This has been the case for Christchurch city in New Zealand, which
experienced the 2010 to 2011 Canterbury Earthquake Sequence (CES). These seismic events were
followed by extreme rainfall in March-April 2014, with much of the city experiencing damaging
flooding. This paper uses data from a Christchurch case study to extend a recently-developed
infrastructure damage simulation tool to the probabilistic assessment of earthquake-altered flood risk in
a built environment. In particular, the focus is on the IFV caused by the earthquake-induced damage to
the pipeline component of Christchurch’s storm water system, which was analysed at both connectivity
and capacity levels. The probabilistic analysis was carried out via a plain Monte Carlo simulation,
enabling the uncertainty affecting several key parameters to be taken into account. Final analysis
results are presented spatially and in the form of cumulative distribution of flood height, the latter being
an impact metric of great interest for infrastructure owners and emergency managers.
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Genre | |
Type | |
Language |
eng
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Notes |
This collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver.
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Date Available |
2015-05-21
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivs 2.5 Canada
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DOI |
10.14288/1.0076154
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URI | |
Affiliation | |
Citation |
Haukaas, T. (Ed.) (2015). Proceedings of the 12th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP12), Vancouver, Canada, July 12-15.
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Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty; Researcher
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivs 2.5 Canada