SEISMIC RISK ASSESSMENT OF INTERDEPENDENT ELECTRIC POWER AND WATER SUPPLY SYSTEMS IN CHRISTCHURCH, NEW ZEALAND

This paper applies a generalized framework for modelling interdependent infrastructure system performance to a case study
\nof the electric power and water supply systems in Christchurch, New Zealand. Based on geospatial exposure data provided
\nby infrastructure operators, the case study identifies the key assets in each system and selects appropriate fragility functions.
\nThese are applied along with existing hazard prediction methods to first measure the performance of each system
\nindependently and then interdependencies are accounted for by two methods: supply area and proximity. A new
\ninterdependency response metric is proposed to measure the magnitude of the interdependency effect of electric power on
\nwater supply with minimal computation. For a 10,000-year stochastic earthquake catalogue the electric power network
\nexhibits high resilience with system performance issues arising in less than 3% of events. Exceedance probability curves
\nshow that the water supply system is less resilient, due to the effect of ground shaking and liquefaction on pipelines, and
\nthat for this case study, the method for modelling interdependency makes little difference to the results. The
\ninterdependency metric calculated for each event is low in most cases. However, regression analysis shows a strong linear
\ntrend between the interdependency metric and the loss metric for the electric power network and this observation may be
\nexploited in future to develop a simple method for predicting the interdependency effect between any two systems without
\nfull simulation.

Authors

Publication Details

Journal
UCL Discovery (University College London)
Published
2025-12-18
DOI
https://doi.org/10.71846/16-wcee-1717
Citations
2
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
0.95
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article

SEISMIC RISK ASSESSMENT OF INTERDEPENDENT ELECTRIC POWER AND WATER SUPPLY SYSTEMS IN CHRISTCHURCH, NEW ZEALAND

Indranil Kongar, Tiziana Rossetto, Sonia Giovinazzi
2 citations
UCL Discovery (University College London)
Infrastructure Resilience and Vulnerability Analysis
0.95
article

SEISMIC RISK ASSESSMENT OF INTERDEPENDENT ELECTRIC POWER AND WATER SUPPLY SYSTEMS IN CHRISTCHURCH, NEW ZEALAND

Indranil Kongar, Tiziana Rossetto, Sonia Giovinazzi
article en
2 citations

Abstract

This paper applies a generalized framework for modelling interdependent infrastructure system performance to a case study
\nof the electric power and water supply systems in Christchurch, New Zealand. Based on geospatial exposure data provided
\nby infrastructure operators, the case study identifies the key assets in each system and selects appropriate fragility functions.
\nThese are applied along with existing hazard prediction methods to first measure the performance of each system
\nindependently and then interdependencies are accounted for by two methods: supply area and proximity. A new
\ninterdependency response metric is proposed to measure the magnitude of the interdependency effect of electric power on
\nwater supply with minimal computation. For a 10,000-year stochastic earthquake catalogue the electric power network
\nexhibits high resilience with system performance issues arising in less than 3% of events. Exceedance probability curves
\nshow that the water supply system is less resilient, due to the effect of ground shaking and liquefaction on pipelines, and
\nthat for this case study, the method for modelling interdependency makes little difference to the results. The
\ninterdependency metric calculated for each event is low in most cases. However, regression analysis shows a strong linear
\ntrend between the interdependency metric and the loss metric for the electric power network and this observation may be
\nexploited in future to develop a simple method for predicting the interdependency effect between any two systems without
\nfull simulation.

UCL Discovery (University College London)
Industry, innovation and infrastructure
Openalex Percentile: Top 30%
Infrastructure Resilience and Vulnerability Analysis
0.95
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