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Natural Hazards

, Volume 61, Issue 3, pp 1443–1462 | Cite as

A model-based approach for a systematic risk analysis of local flood emergency operation plans: a first step toward a decision support system

  • E. Piatyszek
  • G. M. Karagiannis
Original Paper

Abstract

The recurring heavy precipitations which have struck the south of France these last few years highlight that the affected cities have little pertinent information on how to manage these emergencies, and therefore appear powerless. In response, the development of a local emergency operations plan (EOP) for communities threatened by natural and technological hazards was made compulsory by French law in 2004. This article describes a systematic risk analysis approach for local EOPs. This method is based on a functional model that represents a local EOP as a set of interacting functions, each of them using resources and controls. This decomposition facilitates the identification of the human, technical, and organizational resources that are essential to safeguard the inhabitants of a community threatened by a hazard. This model provides a precise frame for performing an exhaustive and rigorous risk analysis of a local EOP. Based on this model and this risk analysis, potential failures are identified and organized into fault tree for each function. Then assessment checklists of the functions of the EOP are structured via these fault trees. By using these checklists, the analysis of a local EOP becomes more rigorous, exhaustive, and systematic, which makes it possible to broadly study the criticality of the plan. Therefore, this method enhances the potential success of the pre-planned actions during a disaster. This is the first step of a decision support system for city emergency managers who are designing their local emergency plan.

Keywords

Local emergency operation plan Functional modelling SADT Fault tree Risk assessment Flood risk 

Notes

Acknowledgments

The authors wish to acknowledge all the personnel of the city of Alès and in particular Sarah Garcia for their help. They gave us access to their EOP and made us benefit from their expertise and feedback not only on the monitoring of previous floods but also in simulation exercises.

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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  1. 1.Ecole Nationale Supérieure des Mines de Saint-EtienneSaint-Etienne, cedex 2France

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