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A Digital Template for the Generic Multi-Risk (GenMR) Framework: A Virtual Natural Environment

Extreme disasters, defined as low-probability–high-consequences events, are often due to cascading effects combined to amplifying environmental factors. While such a risk complexity is commonly addressed by the modeling of site-specific multi-risk scenarios, there exists no harmonized approach that...

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Detalles Bibliográficos
Autor principal: Mignan, Arnaud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9736322/
https://www.ncbi.nlm.nih.gov/pubmed/36498170
http://dx.doi.org/10.3390/ijerph192316097
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author Mignan, Arnaud
author_facet Mignan, Arnaud
author_sort Mignan, Arnaud
collection PubMed
description Extreme disasters, defined as low-probability–high-consequences events, are often due to cascading effects combined to amplifying environmental factors. While such a risk complexity is commonly addressed by the modeling of site-specific multi-risk scenarios, there exists no harmonized approach that considers the full space of possibilities, based on the general relationships between the environment and the perils that populate it. In this article, I define the concept of a digital template for multi-risk R&D and prototyping in the Generic Multi-Risk (GenMR) framework. This digital template consists of a virtual natural environment where different perils may occur. They are geological (earthquakes, landslides, volcanic eruptions), hydrological (river floods, storm surges), meteorological (windstorms, heavy rains), and extraterrestrial (asteroid impacts). Both geological and hydrological perils depend on the characteristics of the natural environment, here defined by two environmental layers: topography and soil. Environmental objects, which alter the layers, are also defined. They are here geomorphic structures linked to some peril source characteristics. Hazard intensity footprints are then generated for primary, secondary, and tertiary perils. The role of the natural environment on intensity footprints and event cascading is emphasized, one example being the generation of a “quake lake”. Future developments, à la SimCity, are finally discussed.
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spelling pubmed-97363222022-12-11 A Digital Template for the Generic Multi-Risk (GenMR) Framework: A Virtual Natural Environment Mignan, Arnaud Int J Environ Res Public Health Article Extreme disasters, defined as low-probability–high-consequences events, are often due to cascading effects combined to amplifying environmental factors. While such a risk complexity is commonly addressed by the modeling of site-specific multi-risk scenarios, there exists no harmonized approach that considers the full space of possibilities, based on the general relationships between the environment and the perils that populate it. In this article, I define the concept of a digital template for multi-risk R&D and prototyping in the Generic Multi-Risk (GenMR) framework. This digital template consists of a virtual natural environment where different perils may occur. They are geological (earthquakes, landslides, volcanic eruptions), hydrological (river floods, storm surges), meteorological (windstorms, heavy rains), and extraterrestrial (asteroid impacts). Both geological and hydrological perils depend on the characteristics of the natural environment, here defined by two environmental layers: topography and soil. Environmental objects, which alter the layers, are also defined. They are here geomorphic structures linked to some peril source characteristics. Hazard intensity footprints are then generated for primary, secondary, and tertiary perils. The role of the natural environment on intensity footprints and event cascading is emphasized, one example being the generation of a “quake lake”. Future developments, à la SimCity, are finally discussed. MDPI 2022-12-01 /pmc/articles/PMC9736322/ /pubmed/36498170 http://dx.doi.org/10.3390/ijerph192316097 Text en © 2022 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mignan, Arnaud
A Digital Template for the Generic Multi-Risk (GenMR) Framework: A Virtual Natural Environment
title A Digital Template for the Generic Multi-Risk (GenMR) Framework: A Virtual Natural Environment
title_full A Digital Template for the Generic Multi-Risk (GenMR) Framework: A Virtual Natural Environment
title_fullStr A Digital Template for the Generic Multi-Risk (GenMR) Framework: A Virtual Natural Environment
title_full_unstemmed A Digital Template for the Generic Multi-Risk (GenMR) Framework: A Virtual Natural Environment
title_short A Digital Template for the Generic Multi-Risk (GenMR) Framework: A Virtual Natural Environment
title_sort digital template for the generic multi-risk (genmr) framework: a virtual natural environment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9736322/
https://www.ncbi.nlm.nih.gov/pubmed/36498170
http://dx.doi.org/10.3390/ijerph192316097
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