High-Resolution Spatiotemporal Modeling for PM<sub>2.5</sub> Major Components in the Pearl River Delta and Its Implications for Epidemiological Studies-Reference-Cited by-同舟云学术

High-Resolution Spatiotemporal Modeling for PM_2.5 Major Components in the Pearl River Delta and Its Implications for Epidemiological Studies

Published:2024-06-11 Issue:25 Volume:58 Page:10920-10931
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Wen Li¹,Kang Ning²^ORCID,Wang Lijie¹,Wei Qiannan¹,Zhang Hedi¹,Shen Jianling¹,Yue Dingli³,Zhai Yuhong³,Lin Weiwei¹^ORCID

Affiliation:

1. Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China

2. Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing 100083, China

3. State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Ecological and Environmental Monitoring Center, Guangzhou 510308, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.3c11091

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5. PM2.5 constituents and onset of gestational diabetes mellitus: Identifying susceptible exposure windows