Estimating 2013–2019 NO2 exposure with high spatiotemporal resolution in China using an ensemble model-Reference-Cited by-同舟云学术

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Estimating 2013–2019 NO2 exposure with high spatiotemporal resolution in China using an ensemble model

Published:2022-01 Issue: Volume:292 Page:118285
ISSN:0269-7491
Container-title:Environmental Pollution
language:en
Short-container-title:Environmental Pollution

Author:

Huang Conghong^ORCID,Sun Kang,Hu Jianlin,Xue Tao,Xu Hao,Wang Meng

Funder

National Institute of Environmental Health Sciences

University at Buffalo

National Institutes of Health

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Toxicology,General Medicine

Reference65 articles.

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2. National spatiotemporal exposure surface for NO2: monthly scaling of a satellite-derived land-use regression, 2000–2010;Bechle;Environ. Sci. Technol.,2015

3. Development of NO2 and NOx land use regression models for estimating air pollution exposure in 36 study areas in Europe–the ESCAPE project;Beelen;Atmos. Environ.,2013

4. Beijing Environmental Monitoring Center. http://zx.bjmemc.com.cn/. Accessed: May 01, 2021.

5. Bayesian geostatistical modelling of high-resolution NO2 exposure in Europe combining data from monitors, satellites and chemical transport models;Beloconi;Environ. Int.,2020

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