Abstract
The results of the development and application of specialized situational models are presented, allowing for simulation experiments to assess and predict the impact level of various components of emissions from anthropogenic sources into the atmosphere. Two types of models have been developed. The first model enables structural graphical analysis of emission volumes for different types of economic activities in a specific area (region, district, city, etc.) based on enterprise report data and statistics, with visualization and spatial analytics on an interactive map. The second type of model is an artificial neural network integrated with geographic information system tools and an electronic map, which allows for the assessment and forecasting of greenhouse gas dispersion and accumulation results in the studied area based on the following parameters: emission volumes from enterprises, wind speed and direction, as well as the geographical layout of the area of interest to the researcher. The results of using the models for a specific area—the Belgorod region, which is a major agricultural region in Russia—are demonstrated. The simultaneous use of the presented models provides the opportunity to select optimal areas for planting priority agricultural crops or carbon plants, ensuring increased productivity of the area and its economic significance while considering ecological safety. Based on the conducted simulation experiments, practical recommendations have been developed.
Presenters
Olga IvashchukChief Researcher, Kazakh National Research Technical University, Almaty oblysy, Kazakhstan Bagdat Yagaliyeva
Associate Professor, Cybersecurity, Information Processing and Storage, Satbayev University, Almaty, Kazakhstan
Details
Presentation Type
Theme
Assessing Impacts in Diverse Ecosystems
KEYWORDS
Modeling, Assessment and Forecasting, Technogenic Impact, Greenhouse Gases, Agroecological Zoning of Territories
