Statistical spatial-temporal modeling of ambient ozone exposure for environmental epidemiology studies: A review-Reference-Cited by-同舟云学术

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Statistical spatial-temporal modeling of ambient ozone exposure for environmental epidemiology studies: A review

Published:2020-01 Issue: Volume:701 Page:134463
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Ma Runmei,Ban Jie,Wang Qing,Li Tiantian^ORCID

Funder

National Key Research and Development Program of China

Special Foundation of Basic Science and Technology Resources Survey of the Ministry of Science and Technology of China

Beijing Natural Science Foundation

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference44 articles.

1. An estimate of the global burden of anthropogenic ozone and fine particulate matter on premature human mortality using atmospheric modeling;Anenberg;Environ. Health Perspect.,2010

2. Spatiotemporal modeling of ozone levels in Quebec (Canada): a comparison of kriging, land-use regression (LUR), and combined Bayesian maximum entropy–LUR approaches;Adam-Poupart;Environ. Health Perspect.,2014

3. Mapping of background air pollution at a fine spatial scale across the European Union;Beelen;Sci. Total Environ.,2009

4. Ozone and short-term mortality in 95 US urban communities, 1987-2000;Bell;JAMA,2004

5. Random forests;Breiman;Machine Learning,2001

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