Integrating Meteorological and Air Quality Data for Advanced Correlation Analysis in Urban Environments: A Case Study of Astana
Yedilkhan D. Sarsenova Z. Yermekov A. Saleshova S.
2025Institute of Electrical and Electronics Engineers Inc.
IEEE European Technology and Engineering Management Summit, E-TEMS
2025Issue 2025270 - 275 pp.
This study performs a correlation analysis of the relationships between meteorological parameters (temperature, relative humidity, wind speed and direction) and concentrations of atmospheric pollutants (CO, NO, PM10, PM2.5, SO2) in different seasons - heating and non-heating. The analysis is calculated using Pearson correlations, which reveals seasonal differences in the relationships. The main purpose of the study is to identify and quantify the relationships between meteorological parameters and concentrations of atmospheric pollutants, as well as to determine how these relationships vary depending on the season (heating/non-heating period). As a result, the analysis showed that during the heating period, temperature and wind speed have a pronounced negative effect on the concentrations of pollutants, especially CO and PM10, while in the non-heating period the role of relative humidity increases, that is, in summer, relative humidity contributes to the accumulation of all pollutants. There are also stable positive correlations between some pollutants (for example, PM10 and PM2.5, CO and NO), which may indicate their common origin. The results obtained are important for an in-depth understanding of the mechanism of air pollution formation and can be taken into account when building predictive models and making management decisions in the field of environmental protection. Based on the results obtained, it is proposed to increase the number of monitoring stations or add mobile sensors to the existing network to ensure dense and continuous data collection. A hybrid approach combining stationary and mobile sensors will expand the coverage area, increase the accuracy of the analysis and provide a reliable basis for the development of effective environmental solutions.
air monitoring , air pollution , meteorological data , meteorological parameters , pollution levels , smart city
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Astana IT University, Astana, Kazakhstan
Astana IT University
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