Land Use Regression Models for Ultrafine Particles and Black Carbon Based on Short-Term Monitoring Predict Past Spatial Variation-Reference-Cited by-同舟云学术

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Land Use Regression Models for Ultrafine Particles and Black Carbon Based on Short-Term Monitoring Predict Past Spatial Variation

Published:2015-07-08 Issue:14 Volume:49 Page:8712-8720
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Montagne Denise R.¹,Hoek Gerard¹,Klompmaker Jochem O.¹,Wang Meng¹,Meliefste Kees¹,Brunekreef Bert¹²

Affiliation:

1. Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, Utrecht University, 3584 CK Utrecht, The Netherlands

2. Julius Center for Health Sciences and Primary Care, University Medical Center, University of Utrecht, 3584 CK Utrecht, The Netherlands

Funder

Royal Netherlands Academy of Arts and Sciences

Seventh Framework Programme

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/es505791g

Reference22 articles.

1. Nanotoxicology: An Emerging Discipline Evolving from Studies of Ultrafine Particles

2. Acute Health Effects of Ambient Air Pollution: The Ultrafine Particle Hypothesis

3. Black Carbon as an Additional Indicator of the Adverse Health Effects of Airborne Particles Compared with PM10and PM2.5

4. A review of land-use regression models to assess spatial variation of outdoor air pollution

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