Cargando…

Seasonal correlation of aerosols with soil moisture, evapotranspiration, and vegetation over Pakistan using remote sensing

Aerosols have a severe impact on the Earth's climate, human health, and ecosystem. To understand the impacts of aerosols on climate, human health, and the ecosystem we must need to understand the variability of aerosols and their optical properties. Therefore, we used Aqua-MODIS retrieved aeros...

Descripción completa

Detalles Bibliográficos
Autores principales: Basharat, Uzma, Tariq, Salman, Chaudhry, Muhammad Nawaz, Khan, Muhammad, Bonah Agyekum, Ephraim, Fendzi Mbasso, Wulfran, Kamel, Salah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589797/
https://www.ncbi.nlm.nih.gov/pubmed/37867878
http://dx.doi.org/10.1016/j.heliyon.2023.e20635
_version_ 1785123860980432896
author Basharat, Uzma
Tariq, Salman
Chaudhry, Muhammad Nawaz
Khan, Muhammad
Bonah Agyekum, Ephraim
Fendzi Mbasso, Wulfran
Kamel, Salah
author_facet Basharat, Uzma
Tariq, Salman
Chaudhry, Muhammad Nawaz
Khan, Muhammad
Bonah Agyekum, Ephraim
Fendzi Mbasso, Wulfran
Kamel, Salah
author_sort Basharat, Uzma
collection PubMed
description Aerosols have a severe impact on the Earth's climate, human health, and ecosystem. To understand the impacts of aerosols on climate, human health, and the ecosystem we must need to understand the variability of aerosols and their optical properties. Therefore, we used Aqua-MODIS retrieved aerosol optical depth (AOD) (550 nm) and Angstrom exponent (AE) (440/870) data to analyze the Spatio-temporal seasonal variability of aerosols and their relationship with different meteorological parameters over Pakistan from 2002 to 2021. High (>0.5) AOD values were observed during the summer season and low (<0.8) in the spring season. AE values were observed to be high (>1) in the northern regions of Pakistan indicating the dominance of fine mode particles during the winter season. Moreover, AOD showed a positive correlation with Relative Humidity (RH), Evapotranspiration, Wind speed (WS), and Temperature. On the other hand, it showed a negative correlation with Soil moisture (SM), Normalized difference vegetation index (NDVI), and precipitation over Pakistan. Therefore, considering the outcomes of this study will help policymakers to understand the spatiotemporal variability of aerosols and their seasonal correlation with different meteorological parameters.
format Online
Article
Text
id pubmed-10589797
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-105897972023-10-22 Seasonal correlation of aerosols with soil moisture, evapotranspiration, and vegetation over Pakistan using remote sensing Basharat, Uzma Tariq, Salman Chaudhry, Muhammad Nawaz Khan, Muhammad Bonah Agyekum, Ephraim Fendzi Mbasso, Wulfran Kamel, Salah Heliyon Research Article Aerosols have a severe impact on the Earth's climate, human health, and ecosystem. To understand the impacts of aerosols on climate, human health, and the ecosystem we must need to understand the variability of aerosols and their optical properties. Therefore, we used Aqua-MODIS retrieved aerosol optical depth (AOD) (550 nm) and Angstrom exponent (AE) (440/870) data to analyze the Spatio-temporal seasonal variability of aerosols and their relationship with different meteorological parameters over Pakistan from 2002 to 2021. High (>0.5) AOD values were observed during the summer season and low (<0.8) in the spring season. AE values were observed to be high (>1) in the northern regions of Pakistan indicating the dominance of fine mode particles during the winter season. Moreover, AOD showed a positive correlation with Relative Humidity (RH), Evapotranspiration, Wind speed (WS), and Temperature. On the other hand, it showed a negative correlation with Soil moisture (SM), Normalized difference vegetation index (NDVI), and precipitation over Pakistan. Therefore, considering the outcomes of this study will help policymakers to understand the spatiotemporal variability of aerosols and their seasonal correlation with different meteorological parameters. Elsevier 2023-10-04 /pmc/articles/PMC10589797/ /pubmed/37867878 http://dx.doi.org/10.1016/j.heliyon.2023.e20635 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Basharat, Uzma
Tariq, Salman
Chaudhry, Muhammad Nawaz
Khan, Muhammad
Bonah Agyekum, Ephraim
Fendzi Mbasso, Wulfran
Kamel, Salah
Seasonal correlation of aerosols with soil moisture, evapotranspiration, and vegetation over Pakistan using remote sensing
title Seasonal correlation of aerosols with soil moisture, evapotranspiration, and vegetation over Pakistan using remote sensing
title_full Seasonal correlation of aerosols with soil moisture, evapotranspiration, and vegetation over Pakistan using remote sensing
title_fullStr Seasonal correlation of aerosols with soil moisture, evapotranspiration, and vegetation over Pakistan using remote sensing
title_full_unstemmed Seasonal correlation of aerosols with soil moisture, evapotranspiration, and vegetation over Pakistan using remote sensing
title_short Seasonal correlation of aerosols with soil moisture, evapotranspiration, and vegetation over Pakistan using remote sensing
title_sort seasonal correlation of aerosols with soil moisture, evapotranspiration, and vegetation over pakistan using remote sensing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589797/
https://www.ncbi.nlm.nih.gov/pubmed/37867878
http://dx.doi.org/10.1016/j.heliyon.2023.e20635
work_keys_str_mv AT basharatuzma seasonalcorrelationofaerosolswithsoilmoistureevapotranspirationandvegetationoverpakistanusingremotesensing
AT tariqsalman seasonalcorrelationofaerosolswithsoilmoistureevapotranspirationandvegetationoverpakistanusingremotesensing
AT chaudhrymuhammadnawaz seasonalcorrelationofaerosolswithsoilmoistureevapotranspirationandvegetationoverpakistanusingremotesensing
AT khanmuhammad seasonalcorrelationofaerosolswithsoilmoistureevapotranspirationandvegetationoverpakistanusingremotesensing
AT bonahagyekumephraim seasonalcorrelationofaerosolswithsoilmoistureevapotranspirationandvegetationoverpakistanusingremotesensing
AT fendzimbassowulfran seasonalcorrelationofaerosolswithsoilmoistureevapotranspirationandvegetationoverpakistanusingremotesensing
AT kamelsalah seasonalcorrelationofaerosolswithsoilmoistureevapotranspirationandvegetationoverpakistanusingremotesensing