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Variations in the aerosol index and its relationship with meteorological parameters over Pakistan using remote sensing

Particulate pollution has become a major issue in developing countries including Pakistan. Aerosols are causing severe impacts on climate and human health. To understand the effects of aerosols on the environment and human health, we must first understand their optical and physical properties. In th...

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Autores principales: Khan, Muhammad, Tariq, Salman, Haq, Zia Ul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9904527/
https://www.ncbi.nlm.nih.gov/pubmed/36749519
http://dx.doi.org/10.1007/s11356-023-25613-5
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author Khan, Muhammad
Tariq, Salman
Haq, Zia Ul
author_facet Khan, Muhammad
Tariq, Salman
Haq, Zia Ul
author_sort Khan, Muhammad
collection PubMed
description Particulate pollution has become a major issue in developing countries including Pakistan. Aerosols are causing severe impacts on climate and human health. To understand the effects of aerosols on the environment and human health, we must first understand their optical and physical properties. In this paper, we used ozone monitoring instrument (OMI) retrieved ultraviolet aerosol index (UVAI) to analyze spatial and temporal distribution, annual and seasonal trends of absorbing aerosols, and their relationship with meteorological parameters (e.g., temperature, relative humidity, and wind speed) over Pakistan from October 2004 to December 2021. Significant spatiotemporal changes in UVAI values were found with high values in southern and central regions and low values in northern regions of Pakistan. The mean UVAI over Pakistan showed an increasing trend of 2.89% year(−1). Seasonally, UVAI increases at the rate of 3.97% winter(−1), 3.24% autumn(−1), 0.81% summer(−1), and 0.71% spring(−1). A strong positive correlation of UVAI with precipitation and temperature (~ 0.6) is observed in the central and southern regions of Pakistan. A negative and positive correlation of −0.3223 and 0.4284 of UVAI with CO(2) emissions and primary industry is observed in Pakistan, respectively. We also found potential sources of aerosols over major cities of Pakistan using the Hybrid Single Particle Langrangian Integrated Trajectory (HYSPLIT) model. It determines that the dominant aerosols over Karachi are natural aerosols like sea salt and dust particles and anthropogenic aerosols are dominant over Lahore. Moreover, the natural and anthropogenic factors influencing absorbing aerosols are also discussed herein. Considering the outcomes of this study different methods would be used to reduce the concentration of particulate pollution like afforestation, efficient fuel energy consumption, promotion of public transport networks, etc.
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spelling pubmed-99045272023-02-08 Variations in the aerosol index and its relationship with meteorological parameters over Pakistan using remote sensing Khan, Muhammad Tariq, Salman Haq, Zia Ul Environ Sci Pollut Res Int Research Article Particulate pollution has become a major issue in developing countries including Pakistan. Aerosols are causing severe impacts on climate and human health. To understand the effects of aerosols on the environment and human health, we must first understand their optical and physical properties. In this paper, we used ozone monitoring instrument (OMI) retrieved ultraviolet aerosol index (UVAI) to analyze spatial and temporal distribution, annual and seasonal trends of absorbing aerosols, and their relationship with meteorological parameters (e.g., temperature, relative humidity, and wind speed) over Pakistan from October 2004 to December 2021. Significant spatiotemporal changes in UVAI values were found with high values in southern and central regions and low values in northern regions of Pakistan. The mean UVAI over Pakistan showed an increasing trend of 2.89% year(−1). Seasonally, UVAI increases at the rate of 3.97% winter(−1), 3.24% autumn(−1), 0.81% summer(−1), and 0.71% spring(−1). A strong positive correlation of UVAI with precipitation and temperature (~ 0.6) is observed in the central and southern regions of Pakistan. A negative and positive correlation of −0.3223 and 0.4284 of UVAI with CO(2) emissions and primary industry is observed in Pakistan, respectively. We also found potential sources of aerosols over major cities of Pakistan using the Hybrid Single Particle Langrangian Integrated Trajectory (HYSPLIT) model. It determines that the dominant aerosols over Karachi are natural aerosols like sea salt and dust particles and anthropogenic aerosols are dominant over Lahore. Moreover, the natural and anthropogenic factors influencing absorbing aerosols are also discussed herein. Considering the outcomes of this study different methods would be used to reduce the concentration of particulate pollution like afforestation, efficient fuel energy consumption, promotion of public transport networks, etc. Springer Berlin Heidelberg 2023-02-07 2023 /pmc/articles/PMC9904527/ /pubmed/36749519 http://dx.doi.org/10.1007/s11356-023-25613-5 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 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 Research Article
Khan, Muhammad
Tariq, Salman
Haq, Zia Ul
Variations in the aerosol index and its relationship with meteorological parameters over Pakistan using remote sensing
title Variations in the aerosol index and its relationship with meteorological parameters over Pakistan using remote sensing
title_full Variations in the aerosol index and its relationship with meteorological parameters over Pakistan using remote sensing
title_fullStr Variations in the aerosol index and its relationship with meteorological parameters over Pakistan using remote sensing
title_full_unstemmed Variations in the aerosol index and its relationship with meteorological parameters over Pakistan using remote sensing
title_short Variations in the aerosol index and its relationship with meteorological parameters over Pakistan using remote sensing
title_sort variations in the aerosol index and its relationship with meteorological parameters over pakistan using remote sensing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9904527/
https://www.ncbi.nlm.nih.gov/pubmed/36749519
http://dx.doi.org/10.1007/s11356-023-25613-5
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