Seasonal trend analysis and influence of meteorological factors on the concentration of atmospheric pollutants in an urban area
Introduction: Air pollution is a growing concern in Greater Noida, Uttar Pradesh, where meteorological factors play a major role. As urbanization accelerates, the region has not yet thoroughly examined the impact of factors like temperature, humidity, wind direction, and speed on pollutants like P...
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Language: | English |
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Tehran University of Medical Sciences
2024-12-01
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Series: | Journal of Air Pollution and Health |
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Online Access: | https://japh.tums.ac.ir/index.php/japh/article/view/714 |
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author | Naresh Kumar Priya Ranjan Suman . |
author_facet | Naresh Kumar Priya Ranjan Suman . |
author_sort | Naresh Kumar |
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Introduction: Air pollution is a growing concern in Greater Noida, Uttar Pradesh, where meteorological factors play a major role. As urbanization accelerates, the region has not yet thoroughly examined the impact of factors
like temperature, humidity, wind direction, and speed on pollutants like Particulate Matters (PM2.5, PM10), Nitrogen dioxide (NO2), and Sulfur dioxide (SO2).
Materials and methods: To explore this issue, a 12-month study (January to December 2023) was conducted to analyze the relationships between these meteorological factors and pollutant levels. In the present study, pollutant movement was tracked over time. Pearson correlation was used to correlate air pollution concentrations with weather conditions.
Results: The study revealed that the average concentrations of PM10, PM2.5, and NO2 were 912.54 µg/m³, 257.42 µg/m³, and 65.98 µg/m³, respectively. In contrast, SO2 had an average concentration of 26.85 µg/m³.
Conclusion: The study indicates that particulate matter and temperature are strongly negatively correlated, while wind speed shows a weak positive correlation with particulate matter. Pollution levels and relative humidity also display a negative correlation, as do particulate matter concentrations and humidity. However, gaseous pollutants exhibit little to no significant correlation with these weather conditions.
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format | Article |
id | doaj-art-82c804e7c71a4624b4d16b3ffe8cd655 |
institution | Kabale University |
issn | 2476-3071 |
language | English |
publishDate | 2024-12-01 |
publisher | Tehran University of Medical Sciences |
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series | Journal of Air Pollution and Health |
spelling | doaj-art-82c804e7c71a4624b4d16b3ffe8cd6552025-02-09T09:03:19ZengTehran University of Medical SciencesJournal of Air Pollution and Health2476-30712024-12-019410.18502/japh.v9i4.17650Seasonal trend analysis and influence of meteorological factors on the concentration of atmospheric pollutants in an urban areaNaresh Kumar0Priya Ranjan1Suman .2Atmospheric Research Laboratory, Department of Environmental Sciences, Sharda School of Basic Sciences and Research, Sharda University, Greater Noida, IndiaDepartment of Environmental Sciences, Sharda School of Basic Sciences and Research, Greater Noida, IndiaSharda University Department of Environmental Sciences, Sharda School of Basic Sciences and Research, Greater Noida, India Introduction: Air pollution is a growing concern in Greater Noida, Uttar Pradesh, where meteorological factors play a major role. As urbanization accelerates, the region has not yet thoroughly examined the impact of factors like temperature, humidity, wind direction, and speed on pollutants like Particulate Matters (PM2.5, PM10), Nitrogen dioxide (NO2), and Sulfur dioxide (SO2). Materials and methods: To explore this issue, a 12-month study (January to December 2023) was conducted to analyze the relationships between these meteorological factors and pollutant levels. In the present study, pollutant movement was tracked over time. Pearson correlation was used to correlate air pollution concentrations with weather conditions. Results: The study revealed that the average concentrations of PM10, PM2.5, and NO2 were 912.54 µg/m³, 257.42 µg/m³, and 65.98 µg/m³, respectively. In contrast, SO2 had an average concentration of 26.85 µg/m³. Conclusion: The study indicates that particulate matter and temperature are strongly negatively correlated, while wind speed shows a weak positive correlation with particulate matter. Pollution levels and relative humidity also display a negative correlation, as do particulate matter concentrations and humidity. However, gaseous pollutants exhibit little to no significant correlation with these weather conditions. https://japh.tums.ac.ir/index.php/japh/article/view/714Meteorological variable; Pearson correlation; Air pollutants; Linear relation; National ambient air quality standards (NAAQS) |
spellingShingle | Naresh Kumar Priya Ranjan Suman . Seasonal trend analysis and influence of meteorological factors on the concentration of atmospheric pollutants in an urban area Journal of Air Pollution and Health Meteorological variable; Pearson correlation; Air pollutants; Linear relation; National ambient air quality standards (NAAQS) |
title | Seasonal trend analysis and influence of meteorological factors on the concentration of atmospheric pollutants in an urban area |
title_full | Seasonal trend analysis and influence of meteorological factors on the concentration of atmospheric pollutants in an urban area |
title_fullStr | Seasonal trend analysis and influence of meteorological factors on the concentration of atmospheric pollutants in an urban area |
title_full_unstemmed | Seasonal trend analysis and influence of meteorological factors on the concentration of atmospheric pollutants in an urban area |
title_short | Seasonal trend analysis and influence of meteorological factors on the concentration of atmospheric pollutants in an urban area |
title_sort | seasonal trend analysis and influence of meteorological factors on the concentration of atmospheric pollutants in an urban area |
topic | Meteorological variable; Pearson correlation; Air pollutants; Linear relation; National ambient air quality standards (NAAQS) |
url | https://japh.tums.ac.ir/index.php/japh/article/view/714 |
work_keys_str_mv | AT nareshkumar seasonaltrendanalysisandinfluenceofmeteorologicalfactorsontheconcentrationofatmosphericpollutantsinanurbanarea AT priyaranjan seasonaltrendanalysisandinfluenceofmeteorologicalfactorsontheconcentrationofatmosphericpollutantsinanurbanarea AT suman seasonaltrendanalysisandinfluenceofmeteorologicalfactorsontheconcentrationofatmosphericpollutantsinanurbanarea |