| Issue |
E3S Web Conf.
Volume 258, 2021
Ural Environmental Science Forum “Sustainable Development of Industrial Region” (UESF-2021)
|
|
|---|---|---|
| Article Number | 01003 | |
| Number of page(s) | 8 | |
| Section | IT in Environmental Science | |
| DOI | https://doi.org/10.1051/e3sconf/202125801003 | |
| Published online | 20 May 2021 | |
Digitalization wildfire management near smart city
1 Russian State Hydrometeorological University, 79, Voronezhskaya str., 192007, St. Petersburg, Russia
2 Murmansk Arctic State University, 15, Kapitana Egorova str., 183038, Murmansk, Russia
3 Saint-Petersburg University of State Fire Service of EMERCON of Russia, 149, Moskovskiy prospect, 196051, St. Petersburg, Russia
* Corresponding author: mil.shilin@mail.ru
In article, there are considered results in digitalization wildfire management near smart city within Industry 4.0 period, when while climate change and Covid-19 pandemic. While research, there are used methods of data bases constructing, web-technologies and virtual reality tools. Also, there are used Foresight technologies, theory of decision making under uncertainties and risk management. As digitalization tools, authors propose to use online platforms, which integrate heterogeneous hardware and software resources in distributed networks. As study result, there is proposed a block model, that combines the investment objectives with cost of wildfire management near smart city adapted to Covid-19 pandemic and climate change conditions. Authors demonstrate usage of developed digital tools. The research results presented in this article has significant scientific novelty and can be useful for private investors, public environmental organizations of the civil sector and state environmental control bodies. They can be used in training and educational purposes, including development of Master’s programs in environmental economics.
© 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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