Issue |
E3S Web Conf.
Volume 295, 2021
International Scientific Forum on Sustainable Development and Innovation (WFSDI 2021)
|
|
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Article Number | 03012 | |
Number of page(s) | 8 | |
Section | Sustainable Development and Ecology | |
DOI | https://doi.org/10.1051/e3sconf/202129503012 | |
Published online | 26 July 2021 |
Methodology for constructing an environmental barometer based on artificial intelligence technologies
1
Novosibirsk State University of Economics and Management, 630102, Novosibirsk, Russia
2
The Russian Presidential Academy of National Economy and Public Administration – the Siberian Institute of Management, 630102, Novosibirsk, Russian Federation
* Corresponding author: glinskiy-vv@ranepa.ru
The presented article is aimed at solving the problem of implementing effective quality management of the regional ecosystem and preventing environmental threats. Trends in the reduction of species biological diversity and climate change are observed. Forecast and prevention of large-scale emergencies of various nature should become the basis for a new environmental and economic policy, at the center of which should be an updated system of environmental regulation. The problem arises of standardizing the quality of the environment, which requires the development of a methodology for its assessment based on a certain tool that determines the permissible or unacceptable anthropogenic load and thereby warns of the emergence of a threat. The scientific novelty of the research consists in the development of a methodology for constructing an environmental monitoring system (IAS “Environmental Barometer”), aimed at measuring negative pressure on the territorial ecosystem and based on a digital information and analytical system used by federal and regional authorities for effective management of environmental quality and sustainable development of the territory on the basis of formed strategies. The scientific novelty of the research consists in the development of a methodology for the implementation of environmental monitoring.
© The Authors, published by EDP Sciences, 2021
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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