Land use regression models for crustal and traffic-related PM2.5 constituents in four areas of the SAPALDIA study-Reference-Cited by-同舟云学术

Land use regression models for crustal and traffic-related PM2.5 constituents in four areas of the SAPALDIA study

Published:2015-07 Issue: Volume:140 Page:377-384
ISSN:0013-9351
Container-title:Environmental Research
language:en
Short-container-title:Environmental Research

Author:

Aguilera Inmaculada,Eeftens Marloes,Meier Reto,Ducret-Stich Regina E.,Schindler Christian,Ineichen Alex,Phuleria Harish C.,Probst-Hensch Nicole,Tsai Ming-Yi,Künzli Nino

Funder

Swiss National Science Foundation

Swiss Federal Office for the Environment

Publisher

Elsevier BV

Subject

General Environmental Science,Biochemistry

Reference41 articles.

1. Follow-up of the Swiss Cohort Study on Air Pollution and Lung Diseases in Adults (SAPALDIA 2) 1991–2003: methods and characterization of participants;Ackermann-Liebrich;Soz Praventivmed,2005

2. A cost-effective weighing chamber for particulate matter filters;Allen;J. Air Waste Manag. Assoc.,2001

3. Effect of the number of measurement sites on land use regression models in estimating local air pollution;Basagaña;Atmos. Environ.,2012

4. 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

5. Addressing equity in interventions to reduce air pollution in urban areas: a systematic review;Benmarhnia;Int. J. Public Health,2014

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