He Y. Information technology of the environmental pollution monitoring based on trend forecasting models.

The dissertation is devoted to developing methods, models and information technology for monitoring the state of environmental pollution based on trend forecasting models, statistical fractal estimation, etc. The developed methods, models and information technology can be used to improve the efficiency of environmental management in the region, in particular in large cities, based on monitoring the level of pollution, the stability of pollution in the dynamics, the cyclicality of emissions, forecasting pollution levels for future periods and trends in future pollution levels. Developing models of methods and information technology for monitoring environmental pollution is urgent. First, creating effective technologies for monitoring pollution is key to preserving citizens' health and quality of life, particularly in large cities. Monitoring the level of pollution and developing effective control strategies are critical to preserving the health of citizens. Effective pollution monitoring systems can also lead to economic benefits, including reduced disease treatment costs, improved quality of life, and promoting sustainable development. some types of pollution, such as greenhouse gas emissions, can lead to climate change, which has global impacts on ecosystems and human society. Monitoring and reducing these emissions is important to preserve the climate and reduce its negative impacts. Many countries have legislation regulating the level of environmental pollution. Developing and implementing effective monitoring systems helps ensure compliance with these regulations and standards.