Version 1
: Received: 28 February 2024 / Approved: 29 February 2024 / Online: 29 February 2024 (13:02:06 CET)
How to cite:
Shin, S.; Kim, H.; Son, S.; Kang, D. Visualizing the Atmospheric Wind Flow Animation and Optimizing Air Flow Data in Digital Twin Based Environmental Impact Assessments. Preprints2024, 2024021710. https://doi.org/10.20944/preprints202402.1710.v1
Shin, S.; Kim, H.; Son, S.; Kang, D. Visualizing the Atmospheric Wind Flow Animation and Optimizing Air Flow Data in Digital Twin Based Environmental Impact Assessments. Preprints 2024, 2024021710. https://doi.org/10.20944/preprints202402.1710.v1
Shin, S.; Kim, H.; Son, S.; Kang, D. Visualizing the Atmospheric Wind Flow Animation and Optimizing Air Flow Data in Digital Twin Based Environmental Impact Assessments. Preprints2024, 2024021710. https://doi.org/10.20944/preprints202402.1710.v1
APA Style
Shin, S., Kim, H., Son, S., & Kang, D. (2024). Visualizing the Atmospheric Wind Flow Animation and Optimizing Air Flow Data in Digital Twin Based Environmental Impact Assessments. Preprints. https://doi.org/10.20944/preprints202402.1710.v1
Chicago/Turabian Style
Shin, S., Sungdo Son and Dongjin Kang. 2024 "Visualizing the Atmospheric Wind Flow Animation and Optimizing Air Flow Data in Digital Twin Based Environmental Impact Assessments" Preprints. https://doi.org/10.20944/preprints202402.1710.v1
Abstract
In this paper, we aim to present real implementation cases where non-visible elements of environmental impact assessments (EIA), wind flow, are visualized using a 3D digital twin technology. The conventional EIA process serves as a crucial tool in the evaluation of potential environmental impacts prior to the initiation of development projects. This evaluation helps to establish a legal and institutional framework that seeks to minimize the adverse effects on the environment. However, traditional EIA methods present challenges, particularly for non-experts, in comprehending the results of assessments involving non-visible environmental factors such as noise, air quality, and wind flow. These elements are often represented in static images or numerical tables, limiting accurate understanding and engagement. Our proposed method, termed Digital Twin based EIA, addresses these limitations by leveraging digital twin technology. This advanced methodology allows for the visualization of non-visible environmental elements in a spatio-temporal dimension, providing a more interactive and comprehensive user interface/experience for both citizens and stakeholders. In this context, we present a unique case study that focuses on visualizing wind flow using this technology. This paper serves as an example of how digital twin platforms can enhance traditional EIA processes, offering a more immersive and informative experience. The evolution of EIA into the digital realm signifies an important step forward in fostering public understanding and engagement in environmental protection efforts.
Keywords
digital twin; environmental impact assessments; visualization; Spatio-temporal; 4D
Subject
Environmental and Earth Sciences, Environmental Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
