Application of Artificial Intelligence for Monitoring and Forecasting the State of the Environment in Cities: The Case of Small Rivers

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Authors: E. V. Kotlyarova, Олейникова Полина Евгеньевна, D. A. Kovalenko, V.V. Filateva
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Abstract

This article is devoted to the study of modern experience in the application of artificial intelligence in monitoring and assessing the state of the environment in cities using the example of small rivers . reasons occurrence Environmental issues in megacities, the potential of neural networks for processing large volumes of data, and practical examples of their use are discussed. The importance of environmental monitoring for environmental protection and public health is explored. An overview of existing approaches is provided, prospects for further development within the framework of national projects and strategic initiatives are proposed, and a practical example of using the systemic approach developed by the authors to forecast the state of a small river based on proposed development scenarios is presented.

Fields of Study & Subjects

Hydrological Forecasting Using AI Environmental Quality and Pollution Environmental Monitoring and Data Management

Publication details

Journal / source
International Forum on GIS, Digital Economy and Sustainable Development
Pages
371–379
Publication date
11 February 2026
Language
EN