Statistical modelling of particle number concentration in Zurich at high spatio-temporal resolution utilizing data from a mobile sensor network-Reference-Cited by-同舟云学术

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Statistical modelling of particle number concentration in Zurich at high spatio-temporal resolution utilizing data from a mobile sensor network

Published:2016-02 Issue: Volume:126 Page:171-181
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Mueller M.D.,Hasenfratz David,Saukh Olga,Fierz Martin,Hueglin Christoph

Funder

Swiss Confederation financing

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference41 articles.

1. A land use regression model for ultrafine particles in Vancouver, Canada;Abernethy;Environ. Sci. Technol.,2013

2. Influence of meteorology on PM10 trends and variability in Switzerland from 1991 to 2008;Barmpadimos;Atmos. Chem. Phys.,2011

3. The effects of roadside structures on the transport and dispersion of ultrafine particles from highways;Bowker;Atmos. Environ.,2007

4. Mapping urban air pollution using GIS: a regression based approach;Briggs;Int. J. Geogr. Inf. Sci.,1997

5. A mobile pollutant measurement laboratory measuring gas phase and aerosol ambient concentrations with high spatial and temporal resolution;Bukowiecki;Atmos. Environ.,2002

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