Информационная система для дистанционного обучения определению механической устойчивости, аварийности и эколого-биологических особенностей основных видов древесных растений, используемых в озеленении города Донецка
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Information training system for distance learning of mechanical stability, accident rate and ecological and biological features of the main types of trees plants used in landscaping of the city of Donetsk

idKornienko V.O., idKalaev V.N., idPreobrazhenskiy A.P., idLvovich I.Y.

UDC 712.413: 574.2
DOI: 10.26102/2310-6018/2020.31.4.035

  • Abstract
  • List of references
  • About authors

Informational training system contains visual, generalized, structured material on mechanical stability, accidents and ecological-biological peculiarities of the main types used in landscaping in the city of Donetsk: taxonomic position, biology and ecology, biogeography, representation in the city of Donetsk, the mechanical resistance and the accident rate, wind resistance, root system, different properties of wood, critical age in the city of Donetsk, the presence of the saw cut/core in xiloteca, recommendations for landscapers, landscaping concepts, publications, photographs. The informational training system allows to the researcher to quickly and visually get acquainted with the ecological and biological features of tree species used in gardening in the city of Donetsk, learn how to assess the general condition of the tree and use this knowledge in the future when conducting monitoring environmental and dendrological studies. This information system summarizes the results of russian and international research on the ecological and biological characteristics of the presented species and supplements them with growth characteristics, physical and mechanical properties of wood, mechanical resistance to dynamic (wind) and static (icing, snow sticking, etc.) loads in a large industrial city. The information system contributes to the implementation of the presented results in the educational process (as a methodological guide for students and postgraduates of biological universities), monitoring studies of the state of the environment and assessing the accident rate of woody plants by «Zelenstroy» services, as well as by employees of the city environmental management.

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8. Kornienko V.O., Kalaev V.N. Mekhanicheskaya ustoichivost' drevesnykh porod i rekomendatsii po predotvrashcheniyu ikh avariinosti v gorodskikh nasazhdeniyakh. Voronezh: Roza Vetrov; 2018.

9. Kornienko V.O., Kalaev V.N., Preobrazhenskii A.P., L'vovich I.Ya., Choporov O.N. Svidetel'stvo RF o gosudarstvennoi registratsii bazy dannykh № 2020620885. Informatsionnaya obuchayushchaya sistema po mekhanicheskoi ustoichivosti, avariinosti i ekologii osnovnykh vidov-ozelenitelei goroda Donetska. – Zayavka № 2020620885 ot 08.06.2020. – Registratsiya 30.06.2020 g.

Kornienko Vladimir Olegovna

Email: kornienkovo@mail.ru

ORCID |

Donetsk National Universit

Donetsk, Donetsk People's Republic

Kalaev Vladislav Nikolaevich
Doctor of Biology Sciences, Professor
Email: dr_huixs@mail.ru

ORCID |

Voronezh State University

Voronezh, Russian Federation

Preobrazhenskiy Andrey Petrovich
Doctor of Technical Sciences, Professor
Email: app@vivt.ru

ORCID |

Voronezh Institute of High Technologies

Voronezh, Russian Federation

Lvovich Igor Yakovlevich
Doctor of Technical Sciences, Professor
Email: office@vivt.ru

ORCID |

Voronezh Institute of High Technologies

Voronezh, Russian Federation

Keywords: database, mechanical stability, accident rate, ecological and biological features of species, woody plants in the urban environment

For citation: Kornienko V.O., Kalaev V.N., Preobrazhenskiy A.P., Lvovich I.Y. Information training system for distance learning of mechanical stability, accident rate and ecological and biological features of the main types of trees plants used in landscaping of the city of Donetsk. Modeling, Optimization and Information Technology. 2020;8(4). URL: https://moitvivt.ru/ru/journal/pdf?id=884 DOI: 10.26102/2310-6018/2020.31.4.035 (In Russ).

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Published 31.12.2020