Development, Evaluation, and Comparison of Land Use Regression Modeling Methods to Estimate Residential Exposure to Nitrogen Dioxide in a Cohort Study-Reference-Cited by-同舟云学术

Development, Evaluation, and Comparison of Land Use Regression Modeling Methods to Estimate Residential Exposure to Nitrogen Dioxide in a Cohort Study

Published:2016-09-30 Issue:20 Volume:50 Page:11085-11093
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Gillespie Jonathan¹,Beverland Iain J.¹,Hamilton Scott²,Padmanabhan Sandosh³

Affiliation:

1. Department of Civil and Environmental Engineering, University of Strathclyde, James Weir Building, 75 Montrose Street, Glasgow, G1 1XJ, U.K.

2. Ricardo Energy and Environment, 18 Blythswood Square, Glasgow G2 4BG, U.K.

3. University of Glasgow, Institute of Cardiovascular and Medical Sciences, British Heart Foundation Glasgow Cardiovascular Research Centre, 126 University Place, Glasgow G12 8TA

Funder

Engineering and Physical Sciences Research Council

University of Strathclyde

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

http://pubs.acs.org/doi/pdf/10.1021/acs.est.6b02089

Reference41 articles.

1. WHO. Review of evidence on health aspects of air pollution– REVIHAAP Project http://www.euro.who.int/en/what-we-do/health-topics/environment-and-health/air-quality/publications/2013/review-of-evidence-on-health-aspects-of-air-pollution-revihaap-project-final-technical-report(accessed September 16, 2013) .

2. Mapping urban air pollution using GIS: a regression-based approach

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

4. The use of wind fields in a land use regression model to predict air pollution concentrations for health exposure studies

5. A sub-neighborhood scale land use regression model for predicting NO2

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