Satellite-Based Estimates of Daily NO2 Exposure in China Using Hybrid Random Forest and Spatiotemporal Kriging Model-Reference-Cited by-同舟云学术

Satellite-Based Estimates of Daily NO2 Exposure in China Using Hybrid Random Forest and Spatiotemporal Kriging Model

Published:2018-03-16 Issue:7 Volume:52 Page:4180-4189
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Zhan Yu¹²³,Luo Yuzhou⁴,Deng Xunfei⁵,Zhang Kaishan¹,Zhang Minghua⁴,Grieneisen Michael L.⁴,Di Baofeng¹²^ORCID

Affiliation:

1. Department of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan 610065, China

2. Institute for Disaster Management and Reconstruction, Sichuan University, Chengdu, Sichuan 610200, China

3. Sino-German Centre for Water and Health Research, Sichuan University, Chengdu, Sichuan 610065, China

4. Department of Land, Air, and Water Resources, University of California, Davis, California 95616, United States

5. Institute of Digital Agriculture, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang 310021, China

Funder

Ministry of Education of the People's Republic of China

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.7b05669

Reference61 articles.

1. WHO. Particulate matter, ozone, nitrogen dioxide and sulfur dioxide. In Air Quality Guidelines: Global Update, 2005. http://www.euro.who.int/__data/assets/pdf_file/0005/78638/E90038.pdf (accessed August 15, 2016).

2. Associations between short-term exposure to nitrogen dioxide and mortality in 17 Chinese cities: The China Air Pollution and Health Effects Study (CAPES)

3. Long-Term Trends Worldwide in Ambient NO 2 Concentrations Inferred from Satellite Observations

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