| Issue |
E3S Web Conf.
Volume 403, 2023
XII International Scientific and Practical Forum “Environmentally Sustainable Cities and Settlements: Problems and Solutions” (ESCP-2023)
|
|
|---|---|---|
| Article Number | 06001 | |
| Number of page(s) | 9 | |
| Section | Ecological Cycle: Renewable Heat and Electricity, Waste Water, Vegetation and Cultivation | |
| DOI | https://doi.org/10.1051/e3sconf/202340306001 | |
| Published online | 25 July 2023 | |
Methodology for ensuring the environmental safety of territories with science-based choice of environmental measures
Don State Technical University, Department of Environmental Engineering, Institute of Engineering and Construction, Rostov-on-Don, Russia
1 Corresponding author: katerina.lysova0803@gmail.com
In modern conditions, ensuring the environmental safety of urbanized territories is very relevant. However, the selection and implementation of environmental measures without scientific justification are not always successful. The aim of the research is to develop a methodology for ensuring the environmental safety of urbanized territories with science-based choice of environmental measures. The authors have developed an algorithm for implementing a methodology for ensuring the environmental safety of urbanized territories with environmentally efficient and energy-efficient-based choice environmental measures, including three main stages: collecting initial information about the object, choosing and ranking indicators for evaluating the effectiveness of environmental measures, search and choice of the optimal solution to the problem from the existing array of current technical solutions. The algorithm automation using artificial intelligence will allow the authors to launch an online service with environmental measures based choice.
Key words: environmental safety / urbanized territory / environmental measures / functional area / negative factor / remediation measures
© The Authors, published by EDP Sciences, 2023
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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