Spatial representativeness of PM2.5 monitoring stations and its implication for health assessment-Reference-Cited by-同舟云学术

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Spatial representativeness of PM2.5 monitoring stations and its implication for health assessment

Published:2022-05-09 Issue:9 Volume:15 Page:1571-1581
ISSN:1873-9318
Container-title:Air Quality, Atmosphere & Health
language:en
Short-container-title:Air Qual Atmos Health

Author:

Bai Heming,Yan Rusha,Gao Wenkang,Wei Jing,Seong Myeongsu

Funder

Nantong University Scientific Research Foundation for the Introduced Talents

Jiangsu Provincial Double-Innovation Doctor Program

National Key Research and Development Program of China

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Management, Monitoring, Policy and Law,Atmospheric Science,Pollution

Link

https://link.springer.com/content/pdf/10.1007/s11869-022-01202-2.pdf

Reference45 articles.

1. Bai H, Gao W, Zhang Y, Wang L (2022) Assessment of health benefit of PM2.5 reduction during COVID-19 lockdown in China and separating contributions from anthropogenic emissions and meteorology. J Environ Sci 115:422–431. https://doi.org/10.1016/j.jes.2021.01.022

2. Bai H, Zheng Z, Zhang Y, Huang H, Wang L (2021) Comparison of satellite-based PM2.5 estimation from aerosol optical depth and top-of-atmosphere reflectance. Aerosol and Air Quality Research 21:1–17. https://doi.org/10.4209/aaqr.2020.05.0257

3. Baró R, Jiménez-Guerrero P, Balzarini A, Curci G, Forkel R, Grell G, Hirtl M, Honzak L, Langer M, Pérez JL, Pirovano G, San José R, Tuccella P, Werhahn J, Žabkar R (2015) Sensitivity analysis of the microphysics scheme in WRF-Chem contributions to AQMEII phase 2. Atmos Environ 115:620–629. https://doi.org/10.1016/J.ATMOSENV.2015.01.047

4. Barrero MA, Orza JAG, Cabello M, Cantón L (2015) Categorisation of air quality monitoring stations by evaluation of PM10 variability. Sci Total Environ 524–525:225–236. https://doi.org/10.1016/j.scitotenv.2015.03.138

5. Blanchard CL, Tanenbaum S, Hidy GM (2014) Spatial and temporal variability of air pollution in Birmingham, Alabama. Atmos Environ 89:382–391. https://doi.org/10.1016/j.atmosenv.2014.01.006

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