Issue |
E3S Web Conf.
Volume 480, 2024
II International Scientific and Practical Conference “Energy, Ecology and Technology in Agriculture” (EEA2023)
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Article Number | 02016 | |
Number of page(s) | 6 | |
Section | Ecology and Environmental Protection | |
DOI | https://doi.org/10.1051/e3sconf/202448002016 | |
Published online | 18 January 2024 |
Green spaces system analysis and assessment of plantings’ ecological state in Minsk city applying geoinformation technologies
Belarusian State University, Faculty of Geography and Geoinformatics, Minsk, 220030, Belarus
* Corresponding author: rondakulyana@gmail.com
The article presents the results of public green spaces system of Minsk city exploration and assessment of their plantings’ ecological state, implemented with applying geoinformation technologies. To conduct the study, the information about spatial distribution features of green spaces system parameters, urban planning indicators and the ecological state of atmospheric air was selected and ranked (groups 1-9). Using this data set, in ArcGIS program with its additional Spatial Analyst module territory modeling was implemented and an original assessment map of Minsk city, which shows various favorability degrees areas (6-1) for green spaces system organization, was created. It was revealed that the sites of the lowest favorability degree (1) are concentrated in the southwestern part of the city (Oktyabrsky, Moskovsky, Frunzensky administrative districts). On their territory the ecological condition monitoring of public green spaces was carried out. Within green areas boundaries 74 field areas were laid on which 2220 trees were examined. The assessment of plantings was conducted in stages: an individual assessment of trees based on a set of dendrometric indicators, calculation of tree stands condition indexes, identification of public green spaces ecological state category. The completed assessment became the basis for measures proposal to optimize the green spaces system.
© 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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