PM 2.5 estimation and its relationship with NO 2 and SO 2 in China from 2016 to 2020-Reference-Cited by-同舟云学术

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PM _2.5 estimation and its relationship with NO ₂ and SO ₂ in China from 2016 to 2020

Published:2024-09-02 Issue:1 Volume:17 Page:1-20
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Tan Huangyuan¹,Chen Yumin¹,Mao Feiyue²,Wilson John P.³,Zhang Tengfei¹,Cui Xiana¹,Li Zhanghui¹

Affiliation:

1. School of Resource and Environmental Sciences, Wuhan University, Wuhan, People’s Republic of China

2. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People’s Republic of China

3. Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA

Funder

Fundamental Research Funds for the Central Universities

National Key Research and Development Program of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2398055

Reference52 articles.

1. LGHAP: the Long-term Gap-free High-resolution Air Pollutant concentration dataset, derived via tensor-flow-based multimodal data fusion

2. Particulate Matter Air Pollution and Cardiovascular Disease

3. Effects of urban green space morphological pattern on variation of PM2.5 concentration in the neighborhoods of five Chinese megacities

4. Decadal change of the spring dust storm in northwest China and the associated atmospheric circulation

5. Recommendations on the Use of Satellite Remote-Sensing Data for Urban Air Quality

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