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Tsunami Hazard Reduction System

Sector: Government • Location: Italy

Source: Keep.EU

Project
Closed

SIMIT THARSY jointly addresses issues related to monitoring, emergency planning and alert in the case of tsunamigenic earthquakes which may occur in the Mediterranean, with particular attention to the cross-border region facing the Sicily Channel and on the eastern Sicily coast.The project will contribute to the strengthening of infrastructural systems already present in the cross-border region, a

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The project “Tsunami Hazard Reduction System” is an infrastructure initiative in the Government sector, located in Italy. Taiyo aggregates data on it from Keep.EU.

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Description

Description

SIMIT THARSY jointly addresses issues related to monitoring, emergency planning and alert in the case of tsunamigenic earthquakes which may occur in the Mediterranean, with particular attention to the cross-border region facing the Sicily Channel and on the eastern Sicily coast.The project will contribute to the strengthening of infrastructural systems already present in the cross-border region, and will constitute a new platform for the exchange of data and information towards proper management of emergencies and contingency planning. Moreover, in selected test-sites (Marzamemi in Sicily and Marsaxlokk in Malta), an audible warning system for the local population will be installed, and the Civil Protection departments of the two countries will launch emergency procedures and equipment preparation in order to enable rapid intervention in the event of a natural calamity in the cross-border region. The coronavirus pandemic adds a new level of challenges and risks and community leaders need to plan, in a structured way, how to deal with worst-case scenarios. Through additional activities "COVID oriented" Simit-Tharsy project aims to address a pandemic and, simultaneously, a natural disaster in a cross-border area with the consequent need to propose procedures and guidelines to become truly resilient when facing multiple catastrophes at the same time.

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Source reliability

Medium

Data quality score

100%

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