Artificial Intelligence Models as a Tool for Environmental Monitoring: Review and Analysis

The application of artificial intelligence (AI) for environmental monitoring enables accurate forecasts of natural disasters, identification of pollution sources, and comprehensive monitoring of air and water quality. This article provides an overview of the challenges associated with monitoring using traditional methods, as well as the potential for implementing AI-based solutions. The article discusses several models that apply artificial intelligence in the implementation of environmental monitoring, demonstrating case studies of environmental research. However, realizing the full potential of AI faces obstacles such as the lack of specialized AI experts in the environmental sector and the problem of data access, control and privacy. The above challenges are more acute in regions with developing technological infrastructure.

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Publication Details

Journal
Rossijskij žurnal nauk o zemle/Russian journal of earth sciences
Published
2025-11-14
DOI
https://doi.org/10.2205/2025es001070
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence Models as a Tool for Environmental Monitoring: Review and Analysis

Saida K. Kuizheva, Vitaly Dovgal
Rossijskij žurnal nauk o zemle/Russian journal of earth sciences
Air Quality Monitoring and Forecasting
article

Artificial Intelligence Models as a Tool for Environmental Monitoring: Review and Analysis

Saida K. Kuizheva, Vitaly Dovgal
article en

Abstract

The application of artificial intelligence (AI) for environmental monitoring enables accurate forecasts of natural disasters, identification of pollution sources, and comprehensive monitoring of air and water quality. This article provides an overview of the challenges associated with monitoring using traditional methods, as well as the potential for implementing AI-based solutions. The article discusses several models that apply artificial intelligence in the implementation of environmental monitoring, demonstrating case studies of environmental research. However, realizing the full potential of AI faces obstacles such as the lack of specialized AI experts in the environmental sector and the problem of data access, control and privacy. The above challenges are more acute in regions with developing technological infrastructure.

Rossijskij žurnal nauk o zemle/Russian journal of earth sciences
Maikop State Technological University (RU)
Openalex Percentile: Top 62%
Air Quality Monitoring and Forecasting
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