ИСТИНА

In order to visualize numerous data on maps and (or) process large amounts of data in tables, the figures obtained in the field are adapted to materials convenient for use in practical activities. The environmental task is to have up-to-date information about the state of nature. This information is useful in the implementation of business management procedures, and is also important for the decision-making system in the exploitation of natural resources, restoration of disturbed lands, and ecosystems in general. For the phytoindication assessment, which is used as a large database, there is information on 113 monitoring points in the territory of Central Donbass - these are special registration sites for collecting material. For the first time, a general monitoring scheme was laid down in 1998, however, due to military operations, such a system was limited only to those places where economic development of the territory is carried out and environmental research can be carried out with relative safety for life. For the Donetsk-Makeevka, Enakievo-Gorlovka agglomeration system, additional monitoring points have been formed for a more detailed analysis. 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 geolocation accuracy of 5 m. The mechanism of constructing the observation network, including the formation of the base part on topographic maps of 1:10000 and 1:100000 scaling was described earlier. The WGS 1984 Web Mercator public coordinate system and the Spatial Analyst and 3-D Analyst modules were used. In the set of statistical analysis methods, the most acceptable are the Principal Component Analysis (PCA), all variants of correlation analysis, and R-modeling. All primary data related to the structure of the plant organism (length, width, %, frequency of occurrence) also necessarily undergo a procedure for establishing statistical reliability. In most cases, a system of phytoindicative quantification has been developed so that it is possible to build ecological scales of plants and convert from qualitative to quantitative characteristics. As a perspective, we are considering the possibility of modeling the localization of geochemical anomalies and obtaining information about the migration flows of toxic elements that affect human life and health. It has been established that more than 65% of the territory of Central Donbass is in a degraded 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 methods of remediation of polluted natural environments.