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Using Spatial Data Science in Energy-Related Modeling of Terraforming the Martian Atmosphere

Authors :
Piotr Pałka
Robert Olszewski
Agnieszka Wendland
Source :
Energies, Vol 15, Iss 14, p 4957 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

This paper proposes a methodology for numerical modeling of terraforming Mars’ atmosphere using high-energy asteroid impact and greenhouse gas production processes. The developed simulation model uses a spatial data science approach to analyze the Global Climate Model of Mars and cellular automata to model the changes in Mars’ atmospheric parameters. The developed model allows estimating the energy required to raise the planet’s temperature by sixty degrees using different variations of the terraforming process. Using a data science approach for spatial big data analysis has enabled successful numerical simulations of global and local atmospheric changes on Mars and an analysis of the energy potential required for this process.

Details

Language :
English
ISSN :
19961073
Volume :
15
Issue :
14
Database :
Directory of Open Access Journals
Journal :
Energies
Publication Type :
Academic Journal
Accession number :
edsdoj.3c38dab654914f2999d6fa80d09379b5
Document Type :
article
Full Text :
https://doi.org/10.3390/en15144957