The characteristics of the soil cover of the city Cherkassy and the sources of anthropogenic changes of its acidbase properties are presented. The results of the research of soils from different functional zones of the city Cherkassy showed that its reaction is mainly alkaline. The cartographic model of experimental data was made with the program SURFER showing acid-base regime characteristics of soils in different functional zones of the city. This mapping allowed to identify the following soils: fertile (рН = 6.5–7.0) and potentially fertile (рН = 7.0–7.5), hardly suitable (рН = 7.5–8.0), moderately (рН = 8.0–8.5) and highly (рН = 8.0–8.5) toxic. It is concluded that only 60% of urban soils can be identified as fertile or potentially fertile in terms of characteristics of acid-base regime. The results of the evaluation of acid-base regime of urban soilsare correlated with the results of the previous studies of pollution of snow cover in the areas of permanent emissions and the anionic composition of soils. The analysis of the cause-effect relationships in the impact of adverse environmental factors on urban landscapes showed that the formation of acid-base regime of soils is influenced both by the natural landscape, i.e. geochemical, and anthropogenic factors.
Information technology is characterized by an increasing pace of development, a high level of innovation and an increasing share in the GDP of most countries. Similar tendencies are inherent in Ukraine. But it should be noted that the economic crisis in the country began in 2014 and the historical conditions of development cause a number of problems that slow down development and create barriers for the integration of the Ukrainian IT market with the world market. The article analyzes the current situation of information technology in Ukraine as the leading innovative industry and identifies the main system problems, as well as industry trends, and suggests solutions to enhance the international competitiveness of the country.Forecasts were created using extrapolation polynomial trendline construction models and by the construction of an artificial neural network. Based on actual and predicted values of the IT market volumes, the authors estimated the level of its future development using taxonomic analysis. The results enable interested parties to determine the risks and increase the effectiveness of management decisions in IT field.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.