Issue |
E3S Web of Conf.
Volume 531, 2024
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2024)
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Article Number | 04006 | |
Number of page(s) | 9 | |
Section | Environmental Monitoring and Pollution Control | |
DOI | https://doi.org/10.1051/e3sconf/202453104006 | |
Published online | 03 June 2024 |
Analysis of the implementation of sustainable development goals and information support systems using the example of the Rostov region
Don State Technical University, sq. Gagarina, 1, Rostov-on-Don, 344003, Russia
* Corresponding author: kurdvn@mail.ru
The purpose of the study is to analyze the compliance of the information support system with the goals of the transition to sustainable development of the territory. The object of the study is the Rostov region and the regional center - Rostov-on-Don. The article presents the dynamics of indicators from official statistics characterizing environmental pollution and its consequences. In response to the promotion of tax initiatives related to carbon footprints in different countries, Russia is implementing plans to develop a system for monitoring and accounting for pollutant emissions to improve the efficiency and timeliness of information. At the first stages of accounting for carbon dioxide emissions, the objects of monitoring are large stationary sources of pollution. At the same time, an important element of information support for making management decisions for the transition to sustainable development of a territory is information about the potential of the territory to resist environmental pollution (for example, the assimilation potential of the ecosystem of the main pollutants of the territory , the maximum permissible load on the ecosystem). The disadvantages of the assessment, verification and control methodology, the small number of pollutants involved in regulation, can significantly limit a number of alternatives that can be effectively used to transition to sustainable development of the territory. In addition, limitations in the methodology for collecting data and assessing pollution (for example, from motor vehicles) reduce the effectiveness of the information system and the adequacy of the analysis of the situation and decisions made in general.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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