Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty-Reference-Cited by-同舟云学术

Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty

Published:2021-11-01 Issue:22 Volume:55 Page:15287-15300
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

van Donkelaar Aaron¹²^ORCID,Hammer Melanie S.¹^ORCID,Bindle Liam¹,Brauer Michael³⁴^ORCID,Brook Jeffery R.⁵,Garay Michael J.⁶,Hsu N. Christina⁷,Kalashnikova Olga V.⁶,Kahn Ralph A.⁷,Lee Colin²,Levy Robert C.⁷,Lyapustin Alexei⁷,Sayer Andrew M.⁷⁸,Martin Randall V.¹²

Affiliation:

1. Department of Energy, Environmental, and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States

2. Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia B3H 3J5, Canada

3. School of Population and Public Health, University of British Columbia, Vancouver, British Columbia V6T 1Z3, Canada

4. Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington 98195, United States

5. Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario M5T 1P8, Canada

6. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91109, United States

7. Earth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, United States

8. Goddard Earth Sciences Technology and Research, Universities Space Research Association, Columbia, Maryland 21046, United States

Funder

National Aeronautics and Space Administration

Natural Sciences and Engineering Research Council of Canada

Washington University in St. Louis

Canadian Urban Environmental Health Research Consortium

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.1c05309

Reference58 articles.

1. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

2. No one knows which city has the highest concentration of fine particulate matter

3. Global Estimates and Long-Term Trends of Fine Particulate Matter Concentrations (1998–2018)

4. Data Integration for the Assessment of Population Exposure to Ambient Air Pollution for Global Burden of Disease Assessment

5. Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors

Cited by 190 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Nonlinear effects of environmental regulation on PM2.5 and CO2 in China: Evidence from a quantile-on-quantile approach;Energy;2024-04

2. A review of machine learning for modeling air quality: Overlooked but important issues;Atmospheric Research;2024-04

3. Spatiotemporally continuous PM2.5 dataset in the Mekong River Basin from 2015 to 2022 using a stacking model;Science of The Total Environment;2024-03

4. Continuity between NASA MODIS Collection 6.1 and VIIRS Collection 2 land products;Remote Sensing of Environment;2024-03

5. Trends and attributions of the long-term thermal comfort across the urban–rural gradient in major Chinese cities;Applied Geography;2024-03