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...

Full description

Saved in:
Bibliographic Details
Main Authors: Naresh Kumar, Priya Ranjan, Suman .
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2024-12-01
Series:Journal of Air Pollution and Health
Subjects:
Online Access:https://japh.tums.ac.ir/index.php/japh/article/view/714
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1823863928906579968
author Naresh Kumar
Priya Ranjan
Suman .
author_facet Naresh Kumar
Priya Ranjan
Suman .
author_sort Naresh Kumar
collection DOAJ
description 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.
format Article
id doaj-art-82c804e7c71a4624b4d16b3ffe8cd655
institution Kabale University
issn 2476-3071
language English
publishDate 2024-12-01
publisher Tehran University of Medical Sciences
record_format Article
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