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What Factors Dominate the Change of PM(2.5) in the World from 2000 to 2019? A Study from Multi-Source Data

As the threat to human life and health from fine particulate matter (PM(2.5)) increases globally, the life and health problems caused by environmental pollution are also of increasing concern. Understanding past trends in PM(2.5) and exploring the drivers of PM(2.5) are important tools for addressin...

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Autores principales: Xu, Xiankang, Shi, Kaifang, Huang, Zhongyu, Shen, Jingwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915345/
https://www.ncbi.nlm.nih.gov/pubmed/36767646
http://dx.doi.org/10.3390/ijerph20032282
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author Xu, Xiankang
Shi, Kaifang
Huang, Zhongyu
Shen, Jingwei
author_facet Xu, Xiankang
Shi, Kaifang
Huang, Zhongyu
Shen, Jingwei
author_sort Xu, Xiankang
collection PubMed
description As the threat to human life and health from fine particulate matter (PM(2.5)) increases globally, the life and health problems caused by environmental pollution are also of increasing concern. Understanding past trends in PM(2.5) and exploring the drivers of PM(2.5) are important tools for addressing the life-threatening health problems caused by PM(2.5). In this study, we calculated the change in annual average global PM(2.5) concentrations from 2000 to 2020 using the Theil–Sen median trend analysis method and reveal spatial and temporal trends in PM(2.5) concentrations over twenty-one years. The qualitative and quantitative effects of different drivers on PM(2.5) concentrations in 2020 were explored from natural and socioeconomic perspectives using a multi-scale geographically weighted regression model. The results show that there is significant spatial heterogeneity in trends in PM(2.5) concentration, with significant decreases in PM(2.5) concentrations mainly in developed regions, such as the United States, Canada, Japan and the European Union countries, and conversely, significant increases in PM(2.5) in developing regions, such as Africa, the Middle East and India. In addition, in regions with more advanced science and technology and urban management, PM(2.5) concentrations are more evenly influenced by various factors, with a more negative influence. In contrast, regions at the rapid development stage usually continue their economic development at the cost of the environment, and under a high intensity of human activity. Increased temperature is known as the most important factor for the increase in PM(2.5) concentration, while an increase in NDVI can play an important role in the reduction in PM(2.5) concentration. This suggests that countries can achieve good air quality goals by setting a reasonable development path.
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spelling pubmed-99153452023-02-11 What Factors Dominate the Change of PM(2.5) in the World from 2000 to 2019? A Study from Multi-Source Data Xu, Xiankang Shi, Kaifang Huang, Zhongyu Shen, Jingwei Int J Environ Res Public Health Article As the threat to human life and health from fine particulate matter (PM(2.5)) increases globally, the life and health problems caused by environmental pollution are also of increasing concern. Understanding past trends in PM(2.5) and exploring the drivers of PM(2.5) are important tools for addressing the life-threatening health problems caused by PM(2.5). In this study, we calculated the change in annual average global PM(2.5) concentrations from 2000 to 2020 using the Theil–Sen median trend analysis method and reveal spatial and temporal trends in PM(2.5) concentrations over twenty-one years. The qualitative and quantitative effects of different drivers on PM(2.5) concentrations in 2020 were explored from natural and socioeconomic perspectives using a multi-scale geographically weighted regression model. The results show that there is significant spatial heterogeneity in trends in PM(2.5) concentration, with significant decreases in PM(2.5) concentrations mainly in developed regions, such as the United States, Canada, Japan and the European Union countries, and conversely, significant increases in PM(2.5) in developing regions, such as Africa, the Middle East and India. In addition, in regions with more advanced science and technology and urban management, PM(2.5) concentrations are more evenly influenced by various factors, with a more negative influence. In contrast, regions at the rapid development stage usually continue their economic development at the cost of the environment, and under a high intensity of human activity. Increased temperature is known as the most important factor for the increase in PM(2.5) concentration, while an increase in NDVI can play an important role in the reduction in PM(2.5) concentration. This suggests that countries can achieve good air quality goals by setting a reasonable development path. MDPI 2023-01-27 /pmc/articles/PMC9915345/ /pubmed/36767646 http://dx.doi.org/10.3390/ijerph20032282 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Xu, Xiankang
Shi, Kaifang
Huang, Zhongyu
Shen, Jingwei
What Factors Dominate the Change of PM(2.5) in the World from 2000 to 2019? A Study from Multi-Source Data
title What Factors Dominate the Change of PM(2.5) in the World from 2000 to 2019? A Study from Multi-Source Data
title_full What Factors Dominate the Change of PM(2.5) in the World from 2000 to 2019? A Study from Multi-Source Data
title_fullStr What Factors Dominate the Change of PM(2.5) in the World from 2000 to 2019? A Study from Multi-Source Data
title_full_unstemmed What Factors Dominate the Change of PM(2.5) in the World from 2000 to 2019? A Study from Multi-Source Data
title_short What Factors Dominate the Change of PM(2.5) in the World from 2000 to 2019? A Study from Multi-Source Data
title_sort what factors dominate the change of pm(2.5) in the world from 2000 to 2019? a study from multi-source data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915345/
https://www.ncbi.nlm.nih.gov/pubmed/36767646
http://dx.doi.org/10.3390/ijerph20032282
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