The changing PM2.5 dynamics of global megacities based on long-term remotely sensed observations

Satellite observations show that the rapid urbanization and emergence of megacities with 10 million or more residents have raised PM2.5 concentrations across the globe during the past few decades. This study examines PM2.5 dynamics for the 33 cities included on the UN list of megacities published in...

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Main Authors: Lili Zhang, John P. Wilson, Beau MacDonald, Wenhao Zhang, Tao Yu
Format: Article
Language:English
Published: Elsevier 2020-09-01
Series:Environment International
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0160412020318171
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spelling doaj-25cb6414a0be410494f7e9024bb65d9a2020-11-25T03:17:36ZengElsevierEnvironment International0160-41202020-09-01142105862The changing PM2.5 dynamics of global megacities based on long-term remotely sensed observationsLili Zhang0John P. Wilson1Beau MacDonald2Wenhao Zhang3Tao Yu4Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; Spatial Sciences Institute, University of Southern California, Los Angeles, CA 90089-0374, USA; Corresponding author.Spatial Sciences Institute, University of Southern California, Los Angeles, CA 90089-0374, USA; Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaSpatial Sciences Institute, University of Southern California, Los Angeles, CA 90089-0374, USANorth China Institute of Aerospace Engineering, Langfang, Hebei 065000, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaSatellite observations show that the rapid urbanization and emergence of megacities with 10 million or more residents have raised PM2.5 concentrations across the globe during the past few decades. This study examines PM2.5 dynamics for the 33 cities included on the UN list of megacities published in 2018. These megacities were classified into densely (>1500 residents per km2), moderately (300–1500 residents per km2) and sparsely (<300 residents per km2) populated areas to examine the effect of human population density on PM2.5 concentrations in these areas during the period 1998–2016. We found that: (1) the higher population density areas experienced higher PM2.5 concentrations; and (2) the megacities with high PM2.5 concentrations in these areas had higher concentrations than those in the moderately and sparsely populated areas of other megacities as well. The numbers of residents experiencing poor air quality is substantial: approximately 452 and 163 million experienced average annual PM2.5 levels exceeding 10 and 35 μg/m3, respectively in 2016. We also examined PM2.5 trends during the past 18 years and predict that high PM2.5 levels will likely continue in many of these megacities in the future without substantial changes in their economies and/or pollution abatement practices. There will be more megacities in the highest PM2.5 pollution class and the number of megacities in the lowest PM2.5 pollution class will likely not change. Finally, we analyzed how the PM2.5 pollution burden varies geographically and ranked the 33 megacities in terms of PM2.5 pollution in 2016. The most polluted regions are China, India, and South Asia and the least polluted regions are Europe and Japan. None of the 33 megacities currently fall in the WHO’s PM2.5 attainment class (<10 μg/m3) while 9 megacities fall into the PM2.5 non-attainment class (>35 μg/m3). In 2016, the least polluted megacity was New York and most polluted megacity was Delhi whose average annual PM2.5 concentration of 110 μg/m3 is nearly three times the WHO’s non-attainment threshold.http://www.sciencedirect.com/science/article/pii/S0160412020318171MegacitiesGridded population countsRemotely sensed PM2.5 concentrationsPollution burden
collection DOAJ
language English
format Article
sources DOAJ
author Lili Zhang
John P. Wilson
Beau MacDonald
Wenhao Zhang
Tao Yu
spellingShingle Lili Zhang
John P. Wilson
Beau MacDonald
Wenhao Zhang
Tao Yu
The changing PM2.5 dynamics of global megacities based on long-term remotely sensed observations
Environment International
Megacities
Gridded population counts
Remotely sensed PM2.5 concentrations
Pollution burden
author_facet Lili Zhang
John P. Wilson
Beau MacDonald
Wenhao Zhang
Tao Yu
author_sort Lili Zhang
title The changing PM2.5 dynamics of global megacities based on long-term remotely sensed observations
title_short The changing PM2.5 dynamics of global megacities based on long-term remotely sensed observations
title_full The changing PM2.5 dynamics of global megacities based on long-term remotely sensed observations
title_fullStr The changing PM2.5 dynamics of global megacities based on long-term remotely sensed observations
title_full_unstemmed The changing PM2.5 dynamics of global megacities based on long-term remotely sensed observations
title_sort changing pm2.5 dynamics of global megacities based on long-term remotely sensed observations
publisher Elsevier
series Environment International
issn 0160-4120
publishDate 2020-09-01
description Satellite observations show that the rapid urbanization and emergence of megacities with 10 million or more residents have raised PM2.5 concentrations across the globe during the past few decades. This study examines PM2.5 dynamics for the 33 cities included on the UN list of megacities published in 2018. These megacities were classified into densely (>1500 residents per km2), moderately (300–1500 residents per km2) and sparsely (<300 residents per km2) populated areas to examine the effect of human population density on PM2.5 concentrations in these areas during the period 1998–2016. We found that: (1) the higher population density areas experienced higher PM2.5 concentrations; and (2) the megacities with high PM2.5 concentrations in these areas had higher concentrations than those in the moderately and sparsely populated areas of other megacities as well. The numbers of residents experiencing poor air quality is substantial: approximately 452 and 163 million experienced average annual PM2.5 levels exceeding 10 and 35 μg/m3, respectively in 2016. We also examined PM2.5 trends during the past 18 years and predict that high PM2.5 levels will likely continue in many of these megacities in the future without substantial changes in their economies and/or pollution abatement practices. There will be more megacities in the highest PM2.5 pollution class and the number of megacities in the lowest PM2.5 pollution class will likely not change. Finally, we analyzed how the PM2.5 pollution burden varies geographically and ranked the 33 megacities in terms of PM2.5 pollution in 2016. The most polluted regions are China, India, and South Asia and the least polluted regions are Europe and Japan. None of the 33 megacities currently fall in the WHO’s PM2.5 attainment class (<10 μg/m3) while 9 megacities fall into the PM2.5 non-attainment class (>35 μg/m3). In 2016, the least polluted megacity was New York and most polluted megacity was Delhi whose average annual PM2.5 concentration of 110 μg/m3 is nearly three times the WHO’s non-attainment threshold.
topic Megacities
Gridded population counts
Remotely sensed PM2.5 concentrations
Pollution burden
url http://www.sciencedirect.com/science/article/pii/S0160412020318171
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