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DOMINO

DOMINO

Full Scale Exercise DOMINO 2022 France.

Overview

Status

Closed

Start

End

Type
Full-scale exercises
EU contribution amount
EUR 1 176 472.47
Funding source
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Description

DOMINO 2022 is a full-scale exercise mainly dealing with chemical risks with a disaster medicine component while taking into account a maritime pollution event. This field 48 hours exercise will be implemented beginning of June 2022, and will be mainly based on the experience feedback carried out following the explosions and the fire at the Lubrizol factory in Rouen in France in September 2019. An adapted scenario will be implemented in the industrial risk basin of Fos-sur-Mer, in the south of France near Marseille, including more than 20 sites classified SEVESO. This field exercise will be preceded by various preparatory activities (planning conferences, specific training, training on the use of new tools deployed during the exercise, tabletop exercise, command post exercise) and an important sequence of lessons learned and experience sharing. It will involve, in the national response framework to a disaster, the municipal support chains for the populations, the inter-agencies local operational chain supported by the regional structures and the national reinforcement means of the French general directorate for Civil Protection in application of the usual processes of crisis management in France. Given the foreseeable scale of the disaster, operational European modules (mobilized by the consortium partners and by other MS) as well as a EUCP Team mobilized by the ERCC would also be deployed, as part of a request activation of the MPCU by France trough CECIS, in order to fill the capacity gaps in a context where French means would be mobilized on other operations and in other places. These European modules would offer NRBC operational intervention capacity but also high capacity pumping, water purification and EMT 1/2. The HNS SOPs will be tested. It will also present the opportunity to share good practices and operational intervention techniques within the framework of the MPCU knowledge network.

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