CREATING AN INFORMATION MODEL TO ANALYZE THE IMPACT OF FOREST COVER ON CARBON DIOXIDE EMISSIONS

Kartashov A.; Kunitsyn V.; Tolkachev Akim Vladimirovich

doi:doi:10.58168/PPSPM2025_273-279

Home / Conferences / PROBLEMS AND PROSPECTS IN SYSTEMS AND PROCESS MODELING / PROBLEMS AND PROSPECTS IN SYSTEMS AND PROCESS MODELING : Materials of the All-Russian Scientific and Practical Conference, Voronezh, October 14, 2025

CREATING AN INFORMATION MODEL TO ANALYZE THE IMPACT OF FOREST COVER ON CARBON DIOXIDE EMISSIONS

Submit manuscript

To cite

CREATING AN INFORMATION MODEL TO ANALYZE THE IMPACT OF FOREST COVER ON CARBON DIOXIDE EMISSIONS

Section: SECTION 2. COMPUTER-AIDED DESIGN SYSTEMS

Proceedings: PROBLEMS AND PROSPECTS IN SYSTEMS AND PROCESS MODELING : MATERIALS OF THE ALL-RUSSIAN SCIENTIFIC AND PRACTICAL CONFERENCE, VORONEZH, OCTOBER 14, 2025

UDC 004.9

Kartashov A. ¹

Kunitsyn V. ²

Tolkachev Akim Vladimirovich ³

Author and publication information

Authors:

1. Voronezh State University of Forestry and Technologies named after G.F. Morozov
Russian Federation

2. Voronezh State University of Forestry and Technologies named after G.F. Morozov
Russian Federation

3. Voronezh State University of Forestry and Technologies named after G.F. Morozov
Voronezh State University

Type:

Сonference article

DOI:

https://doi.org/10.58168/PPSPM2025_273-279

Pages:

from 273 to 279

Published:

15.01.2026

Subject area:

UDC 004.9

Language:

Russian

Keywords:

data analysis, mathematical models, and graphical representation

Abstract and keywords

Abstract (English):
The impact of forest cover on the carbon footprint remains one of the most important environmental issues in the Russian Federation. The use of accurate models and graphs for analysis allows us to reflect the real situation by region. This work helps us understand the mechanisms involved in reducing CO2 emissions. It also highlights the impact of economic factors on this process.

Keywords:
data analysis, mathematical models, and graphical representation

References

1. Levochkin, R. G. Vzaimootnoshenie ekologicheskogo i uglerodnogo sleda / R. G. Levochkin, A. V. Kozachek // Mir nauki bez granic : Materialy XI Vserossiyskoy nauchno-prakticheskoy konferencii molodyh uchenyh s mezhdunarodnym uchastiem, Tambov, 26 aprelya 2024 goda. – Tambov: Tambovskiy gosudarstvennyy tehnicheskiy universitet, 2024. – S. 183-186. EDN: https://elibrary.ru/HWCMVP

2. Ilkevich, D. A. Artificial intelligence and remote sensing: a new approach to monitoring carbon footprint in cities / D. A. Ilkevich // 28 noyabrya 2024 goda, 2024. – P. 59-64.

3. Zav'yalova, E. B. Sravnitel'nyy analiz effektivnosti mehanizmov uglerodnogo rynka i uglerodnogo naloga dlya realizacii celey obschemirovogo snizheniya uglerodnogo sleda / E. B. Zav'yalova, C. Li // Vestnik Rossiyskogo universiteta druzhby narodov. Seriya: Ekonomika. – 2023. – T. 31, № 4. – S. 740-759. – DOIhttps://doi.org/10.22363/2313-2329-2023-31-4-740-759. EDN: https://elibrary.ru/SJRCKB

4. Romanceva, Yu. N. Cifrovye resheniya dlya rascheta uglerodnogo sleda v sel'skom hozyaystve / Yu. N. Romanceva, A. M. Bodur // Ekonomika i upravlenie: problemy, resheniya. – 2024. – T. 15, № 11(152). – S. 150-159. – DOIhttps://doi.org/10.36871/ek.up.p.r.2024.11.15.021. EDN: https://elibrary.ru/PIBJXJ

5. Neminuschaya, S. A. Innovacionnye sposoby sokrascheniya uglerodnogo sleda v mirovoy ekonomike / S. A. Neminuschaya, E. V. Moiseeva, N. A. Azarova // Transformaciya ekonomicheskih sistem: nizkouglerodnaya ekonomika i klimaticheskaya politika : materialy Mezhdunarodnoy nauchno-prakticheskoy konferencii, Voronezh, 15 aprelya 2022 goda. – Voronezh: Voronezhskiy gosudarstvennyy lesotehnicheskiy universitet im. G.F. Morozova, 2022. – S. 68-73. – DOIhttps://doi.org/10.58168/LCECP2022_68-73.

Submit manuscript

To cite

Citations:

Confirmation

Регистрация