Unraveling the Influence of Satellite-Observed Land Surface Temperature on High-Resolution Mapping of Ground-Level Ozone Using Interpretable Machine Learning-Reference-Cited by-同舟云学术

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Unraveling the Influence of Satellite-Observed Land Surface Temperature on High-Resolution Mapping of Ground-Level Ozone Using Interpretable Machine Learning

Published:2024-08-28 Issue:36 Volume:58 Page:15938-15948
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

He Qingqing¹²^ORCID,Cao Jingru¹,Saide Pablo E.²³^ORCID,Ye Tong¹,Wang Weihang¹

Affiliation:

1. School of Resource and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China

2. Department of Atmospheric & Oceanic Sciences, University of California, Los Angeles, Los Angeles, California 90095, United States

3. Institute of the Environment and Sustainability, University of California, Los Angeles, Los Angeles, California 90095, United States

Funder

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.4c02926

Reference50 articles.

1. Impact of Tropospheric Ozone on Crop Plants

2. Evaluating the impact of long-term exposure to fine particulate matter on mortality among the elderly

3. Effect of urban ozone levels on laboratory-induced respiratory infections

4. Joint occurrence of heatwaves and ozone pollution and increased health risks in Beijing, China: role of synoptic weather pattern and urbanization

5. An Acceptable Concentration (0.1 ppm) of Ozone Exposure Exacerbates Lung Injury in a Mouse Model

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