Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Estimation of trends in urban traffic NOx emissions by an empirical model
SMHI, Research Department, Air quality.ORCID iD: 0000-0001-6713-5741
Show others and affiliations
1999 (English)In: Science of the Total Environment, ISSN 0048-9697, E-ISSN 1879-1026, Vol. 235, no 1-3, p. 367-369Article in journal (Refereed) Published
Abstract [en]

A model has been developed to estimate trends in urban traffic NOx emissions by measured NO2 concentrations. (C) 1999 Elsevier Science B.V. All rights reserved.

Place, publisher, year, edition, pages
1999. Vol. 235, no 1-3, p. 367-369
Keywords [en]
urban NO2 concentrations, traffic NOx emissions, dispersion model, air pollution trends
National Category
Environmental Sciences
Research subject
Environment
Identifiers
URN: urn:nbn:se:smhi:diva-1532DOI: 10.1016/S0048-9697(99)00237-5ISI: 000082966700041OAI: oai:DiVA.org:smhi-1532DiVA, id: diva2:851621
Available from: 2015-09-07 Created: 2015-08-31 Last updated: 2017-12-04Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Omstedt, Gunnar

Search in DiVA

By author/editor
Omstedt, Gunnar
By organisation
Air quality
In the same journal
Science of the Total Environment
Environmental Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 56 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf