GIS technologies and methods of mathematical statistics for assessing degraded lands of Donbass

Germonova, E.; Nespirnyi, V.; Safonov, A.

Авторы: Germonova Ekaterina, Nespirnyi Vitalii, Safonov Andrei
Сборник: GREEN ECONOMY AND ADAPTATION OF INDUSTRY TO CLIMATE CHANGES
Тезисы
Год издания: 2024
Место издания: Naučno-stručno društvo za zaštitu životne sredine Srbije ECOLOGICA Белград
Первая страница: 32
Последняя страница: 32
Аннотация: In order to visualize numerous data on maps and (or) process large amounts of data intables, the figures obtained in the field are adapted to materials convenient for use inpractical activities. The environmental task is to have up-to-date information about the stateof nature. This information is useful in the implementation of business managementprocedures, and is also important for the decision-making system in the exploitation ofnatural resources, restoration of disturbed lands, and ecosystems in general.For the phytoindication assessment, which is used as a large database, there is informationon 113 monitoring points in the territory of Central Donbass - these are special registrationsites for collecting material. For the first time, a general monitoring scheme was laid downin 1998, however, due to military operations, such a system was limited only to those placeswhere economic development of the territory is carried out and environmental research canbe carried out with relative safety for life. For the Donetsk-Makeevka, Enakievo-Gorlovkaagglomeration system, additional monitoring points have been formed for a more detailedanalysis.The authors had developed a project in GIS ArcView 10.4, which allowed to link 113 nodes(trial areas) of the monitoring network with a common information center with a geolocationaccuracy of 5 m. The mechanism of constructing the observation network, including theformation of the base part on topographic maps of 1:10000 and 1:100000 scaling wasdescribed earlier. The WGS 1984 Web Mercator public coordinate system and the SpatialAnalyst and 3-D Analyst modules were used.In the set of statistical analysis methods, the most acceptable are the Principal ComponentAnalysis (PCA), all variants of correlation analysis, and R-modeling. All primary data relatedto the structure of the plant organism (length, width, %, frequency of occurrence) alsonecessarily undergo a procedure for establishing statistical reliability. In most cases, asystem of phytoindicative quantification has been developed so that it is possible to buildecological scales of plants and convert from qualitative to quantitative characteristics.As a perspective, we are considering the possibility of modeling the localization ofgeochemical anomalies and obtaining information about the migration flows of toxicelements that affect human life and health.It has been established that more than 65% of the territory of Central Donbass is in adegraded state as a result of anthropogenic transformation of the territory. And another 22%are in a depressed state, some can be corrected using green industry methods and methodsof remediation of polluted natural environments.
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