Cargando…
Trends, Extreme Events and Long-term Health Impacts of Particulate Matter in a Southern Indian Industrial Area
The present study uses various statistical tools to understand the behaviour of PM(2.5) and PM(10) in the Kanjikode industrial area of Southern India. Annual PM(2.5) and PM(10) average concentrations in 2018–2020 were three times more than the World Health Organization–specified standards (5 and 15 ...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10139910/ https://www.ncbi.nlm.nih.gov/pubmed/37152894 http://dx.doi.org/10.1007/s11270-023-06302-y |
_version_ | 1785033049962971136 |
---|---|
author | Peter, Anju Elizbath Raj, Monish Gangadharan, Praveena P., Athira Nagendra, S. M. Shiva |
author_facet | Peter, Anju Elizbath Raj, Monish Gangadharan, Praveena P., Athira Nagendra, S. M. Shiva |
author_sort | Peter, Anju Elizbath |
collection | PubMed |
description | The present study uses various statistical tools to understand the behaviour of PM(2.5) and PM(10) in the Kanjikode industrial area of Southern India. Annual PM(2.5) and PM(10) average concentrations in 2018–2020 were three times more than the World Health Organization–specified standards (5 and 15 µg m(−3)). The statistical distribution analysis suggested well-fitted lognormal and gamma distributions of 24-h average PM(2.5) concentrations and gamma distributions of 24-h average PM(10) concentrations. Trend analysis observed a notable monotonic increasing trend for 24-h average PM(2.5) concentrations with an increasing magnitude of 0.43 µg m(−3) per annum. A downward trend was found for 24-h average PM(10) concentrations, with a decreasing magnitude of 0.2 µg m(−3) per year. Extreme event analysis of PM(2.5) and PM(10) has provided the highest concentration levels expected in the coming 10 years, 193 and 165 µg m(−3), respectively, higher than the Indian National Ambient Air Quality Standards and considered a public health threat. The health risk assessment by AirQ + emphasized that more than 15, 34, and 27 premature deaths caused by total mortality in 2018, 2019, and 2020 could have been prevented if PM(2.5) concentrations in the Kanjikode industrial area did not exceed 10 μg m(−3). Statistical analysis and health risk assessment suggested adopting various constructive and multipronged approaches to reduce pollution levels and develop a health risk management plan in the industrial region. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11270-023-06302-y. |
format | Online Article Text |
id | pubmed-10139910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-101399102023-05-01 Trends, Extreme Events and Long-term Health Impacts of Particulate Matter in a Southern Indian Industrial Area Peter, Anju Elizbath Raj, Monish Gangadharan, Praveena P., Athira Nagendra, S. M. Shiva Water Air Soil Pollut Article The present study uses various statistical tools to understand the behaviour of PM(2.5) and PM(10) in the Kanjikode industrial area of Southern India. Annual PM(2.5) and PM(10) average concentrations in 2018–2020 were three times more than the World Health Organization–specified standards (5 and 15 µg m(−3)). The statistical distribution analysis suggested well-fitted lognormal and gamma distributions of 24-h average PM(2.5) concentrations and gamma distributions of 24-h average PM(10) concentrations. Trend analysis observed a notable monotonic increasing trend for 24-h average PM(2.5) concentrations with an increasing magnitude of 0.43 µg m(−3) per annum. A downward trend was found for 24-h average PM(10) concentrations, with a decreasing magnitude of 0.2 µg m(−3) per year. Extreme event analysis of PM(2.5) and PM(10) has provided the highest concentration levels expected in the coming 10 years, 193 and 165 µg m(−3), respectively, higher than the Indian National Ambient Air Quality Standards and considered a public health threat. The health risk assessment by AirQ + emphasized that more than 15, 34, and 27 premature deaths caused by total mortality in 2018, 2019, and 2020 could have been prevented if PM(2.5) concentrations in the Kanjikode industrial area did not exceed 10 μg m(−3). Statistical analysis and health risk assessment suggested adopting various constructive and multipronged approaches to reduce pollution levels and develop a health risk management plan in the industrial region. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11270-023-06302-y. Springer International Publishing 2023-04-28 2023 /pmc/articles/PMC10139910/ /pubmed/37152894 http://dx.doi.org/10.1007/s11270-023-06302-y Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 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 | Article Peter, Anju Elizbath Raj, Monish Gangadharan, Praveena P., Athira Nagendra, S. M. Shiva Trends, Extreme Events and Long-term Health Impacts of Particulate Matter in a Southern Indian Industrial Area |
title | Trends, Extreme Events and Long-term Health Impacts of Particulate Matter in a Southern Indian Industrial Area |
title_full | Trends, Extreme Events and Long-term Health Impacts of Particulate Matter in a Southern Indian Industrial Area |
title_fullStr | Trends, Extreme Events and Long-term Health Impacts of Particulate Matter in a Southern Indian Industrial Area |
title_full_unstemmed | Trends, Extreme Events and Long-term Health Impacts of Particulate Matter in a Southern Indian Industrial Area |
title_short | Trends, Extreme Events and Long-term Health Impacts of Particulate Matter in a Southern Indian Industrial Area |
title_sort | trends, extreme events and long-term health impacts of particulate matter in a southern indian industrial area |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10139910/ https://www.ncbi.nlm.nih.gov/pubmed/37152894 http://dx.doi.org/10.1007/s11270-023-06302-y |
work_keys_str_mv | AT peteranjuelizbath trendsextremeeventsandlongtermhealthimpactsofparticulatematterinasouthernindianindustrialarea AT rajmonish trendsextremeeventsandlongtermhealthimpactsofparticulatematterinasouthernindianindustrialarea AT gangadharanpraveena trendsextremeeventsandlongtermhealthimpactsofparticulatematterinasouthernindianindustrialarea AT pathira trendsextremeeventsandlongtermhealthimpactsofparticulatematterinasouthernindianindustrialarea AT nagendrasmshiva trendsextremeeventsandlongtermhealthimpactsofparticulatematterinasouthernindianindustrialarea |