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

Arnaud Mignan^1,2

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

International Journal of Environmental Research and Public Health

|December 11, 2022

Summary

This study introduces a digital template for multi-risk research, enabling the simulation of diverse natural disasters like earthquakes and floods within a virtual environment. It enhances disaster modeling by considering environmental factors and cascading effects.

Keywords:

accumulation risk cellular automaton complex earth system digital twin geometric modeling morphometry multi-hazard virtual reality world simulation

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Area of Science:

Earth and Environmental Sciences
Computational Science
Risk Analysis

Background:

Extreme disasters result from cascading effects and environmental factors.
Current multi-risk modeling often focuses on site-specific scenarios, lacking a harmonized approach for the full possibility space.
Understanding the interplay between natural environments and perils is crucial for effective risk assessment.

Purpose of the Study:

To define a novel 'digital template' concept for multi-risk research and development.
To establish a framework for simulating diverse perils within a virtual natural environment.
To explore the influence of environmental characteristics on hazard intensity and cascading effects.

Main Methods:

Development of the Generic Multi-Risk (GenMR) framework incorporating a digital template.
Definition of virtual natural environments with topographic and soil layers.
Modeling of geological, hydrological, meteorological, and extraterrestrial perils.
Generation of hazard intensity footprints for primary, secondary, and tertiary perils.

Main Results:

The digital template allows for the simulation of various perils (e.g., earthquakes, floods, volcanic eruptions, asteroid impacts).
Environmental layers (topography, soil) and objects significantly influence hazard intensity and cascading event generation (e.g., 'quake lake').
The framework emphasizes the critical role of the natural environment in modulating disaster impacts.

Conclusions:

The proposed digital template offers a harmonized approach to multi-risk R&D and prototyping.
This virtual environment facilitates the study of complex disaster interactions and environmental influences.
Future developments, inspired by simulation games, hold potential for advanced multi-risk analysis.