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

Arnaud Mignan
Author Information
  1. Arnaud Mignan: Institute of Risk Analysis, Prediction and Management (Risks-X), Academy for Advanced Interdisciplinary Studies, Southern University of Science and Technology (SUSTech), Shenzhen 518055, China. ORCID

Abstract

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 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 : topography and soil. , 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, �� la , are finally discussed.

Keywords

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Grants

  1. 42074054/National Natural Science Foundation of China
  2. GJHZ20210705141805017/Shenzhen Science and Technology Innovation Commission
  3. 265138/European Community's Seventh Framework Programme

MeSH Term

Disasters
Landslides
Earthquakes
Floods
Rivers

Word Cloud

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