Preprints
https://doi.org/10.5194/nhess-2023-220
https://doi.org/10.5194/nhess-2023-220
05 Jan 2024
 | 05 Jan 2024
Status: a revised version of this preprint is currently under review for the journal NHESS.

Spatial identification of regions at risk to multi-hazards at pan European level: an implemented methodological approach

Tiberiu-Eugen Antofie, Stefano Luoni, Alois Tilloy, Andrea Sibilia, Sandro Salari, Gustav Eklund, Davide Rodomonti, Christos Bountzouklis, and Christina Corbane

Abstract. The Disaster Risk Management Knowledge Centre (DRMKC) is hosting a web platform – the Risk Data Hub – intended to improve the access and sharing of curated EU-wide risk data, tools and methodologies for fostering Disaster Risk Management (DRM) related actions. Within the DRMKC’s Risk Data Hub (RDH) development, we integrate a methodology for the identification of regions with multi-hazard potential impact at pan European level. With this study we present the methodological approach and we stage it as one fundamental development in support of DRM decision-making at national and subnational level.

We adopt a meta-analysis approach, combining independent tests (the single hazards’ exposure hotspots), which seeks to solve the problem of “insignificant results” and provides an objective “statistical proof” of the multi-hazard potential of a region. We support these results through a validation process which considers empirical data as explanatory variables.

Presenting an implemented methodology, scalable down to local subnational level, that reveals types of assets at risk to multiple hazards and their location, we take one further step towards the identification of the disaster risk management  pathways in multi-hazard assessment.

The outcome of this study will provides valuable input and will assist national authorities on the integration of multi-hazard analysis in their National Risk Assessments and Disaster Risk Management plans.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Tiberiu-Eugen Antofie, Stefano Luoni, Alois Tilloy, Andrea Sibilia, Sandro Salari, Gustav Eklund, Davide Rodomonti, Christos Bountzouklis, and Christina Corbane

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2023-220', Anonymous Referee #1, 26 Jan 2024
    • AC1: 'Reply on RC1', Tiberiu Antofie, 12 Feb 2024
  • RC2: 'Comment on nhess-2023-220', Anonymous Referee #2, 22 Feb 2024
    • AC2: 'Reply on RC2', Tiberiu Antofie, 28 Mar 2024
Tiberiu-Eugen Antofie, Stefano Luoni, Alois Tilloy, Andrea Sibilia, Sandro Salari, Gustav Eklund, Davide Rodomonti, Christos Bountzouklis, and Christina Corbane
Tiberiu-Eugen Antofie, Stefano Luoni, Alois Tilloy, Andrea Sibilia, Sandro Salari, Gustav Eklund, Davide Rodomonti, Christos Bountzouklis, and Christina Corbane

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Short summary
This is the first study that uses spatial patterns (clusters/hot-spots) and meta-analysis in order to identify the regions at European level at risk to multi-hazards. The findings point out the socio-economic dimension as determinant factor for the risk potential to multi-hazard. The outcome provides valuable input for the Disaster Risk Management policy support and will assist national authorities on the implementation of a multi-hazard approach in the National Risk Assessments preparation.
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