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Influence of Temperature and Relative Humidity on PM(2.5) Concentration over Delhi
The present study is an attempt to establish relationship between the concentrations of particulate matter especially (PM(2.5)) and background meteorological parameters over Delhi, India with the help of statistical and correlative analysis. This work presents the evaluation of air quality in three...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer India
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176274/ http://dx.doi.org/10.1007/s12647-023-00656-8 |
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author | Vaishali Verma, Gaurav Das, Rupesh M. |
author_facet | Vaishali Verma, Gaurav Das, Rupesh M. |
author_sort | Vaishali |
collection | PubMed |
description | The present study is an attempt to establish relationship between the concentrations of particulate matter especially (PM(2.5)) and background meteorological parameters over Delhi, India with the help of statistical and correlative analysis. This work presents the evaluation of air quality in three different locations of Delhi. These locations were selected to fulfil the characteristics as residential, industrial and background locations and performed the analysis for pre and post covid-19, i.e. for 2019 and 2021. The outcome of the study shows that the meteorological parameters have significant influence on the PM(2.5) concentration. It was also found that it has a seasonality with low concentration in the monsoon season, moderate in the pre-monsoon season and high during the winters and post-monsoon seasons. However, the statistical and correlative study shows a negative relation with the temperature during the winter, pre-monsoon and post-monsoon and has a positive correlation during the monsoon season. Similarly, it also has been observed that the concentration of PM(2.5) shows strong negative correlation with temperature during the high humid conditions, i.e. when the relative humidity is above 50%. However, a weak correlation with ambient temperature has been established during the low humidity condition, i.e. below 50%. The overall study showed that the highest PM(2.5) pollution has been observed at residential location followed by industrial and background. The study also concluded that the seasonal meteorology has a complex role in the PM(2.5) concentration of the selected areas. |
format | Online Article Text |
id | pubmed-10176274 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer India |
record_format | MEDLINE/PubMed |
spelling | pubmed-101762742023-05-14 Influence of Temperature and Relative Humidity on PM(2.5) Concentration over Delhi Vaishali Verma, Gaurav Das, Rupesh M. MAPAN Original Paper The present study is an attempt to establish relationship between the concentrations of particulate matter especially (PM(2.5)) and background meteorological parameters over Delhi, India with the help of statistical and correlative analysis. This work presents the evaluation of air quality in three different locations of Delhi. These locations were selected to fulfil the characteristics as residential, industrial and background locations and performed the analysis for pre and post covid-19, i.e. for 2019 and 2021. The outcome of the study shows that the meteorological parameters have significant influence on the PM(2.5) concentration. It was also found that it has a seasonality with low concentration in the monsoon season, moderate in the pre-monsoon season and high during the winters and post-monsoon seasons. However, the statistical and correlative study shows a negative relation with the temperature during the winter, pre-monsoon and post-monsoon and has a positive correlation during the monsoon season. Similarly, it also has been observed that the concentration of PM(2.5) shows strong negative correlation with temperature during the high humid conditions, i.e. when the relative humidity is above 50%. However, a weak correlation with ambient temperature has been established during the low humidity condition, i.e. below 50%. The overall study showed that the highest PM(2.5) pollution has been observed at residential location followed by industrial and background. The study also concluded that the seasonal meteorology has a complex role in the PM(2.5) concentration of the selected areas. Springer India 2023-05-12 /pmc/articles/PMC10176274/ http://dx.doi.org/10.1007/s12647-023-00656-8 Text en © Metrology Society of India 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Vaishali Verma, Gaurav Das, Rupesh M. Influence of Temperature and Relative Humidity on PM(2.5) Concentration over Delhi |
title | Influence of Temperature and Relative Humidity on PM(2.5) Concentration over Delhi |
title_full | Influence of Temperature and Relative Humidity on PM(2.5) Concentration over Delhi |
title_fullStr | Influence of Temperature and Relative Humidity on PM(2.5) Concentration over Delhi |
title_full_unstemmed | Influence of Temperature and Relative Humidity on PM(2.5) Concentration over Delhi |
title_short | Influence of Temperature and Relative Humidity on PM(2.5) Concentration over Delhi |
title_sort | influence of temperature and relative humidity on pm(2.5) concentration over delhi |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176274/ http://dx.doi.org/10.1007/s12647-023-00656-8 |
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