Using different spatial scale measurements in a geostatistically based approach for mapping atmospheric nitrogen dioxide concentrations Application to the French Centre region

Laure Malherbe 1 Giovanni Cardenas 1 Patrice Colin 2 Abderrazak Yahyaoui 2
1 INERIS - Institut National de l'Environnement Industriel et des Risques
2 LIG' AIR
Abstract : Passive sampling surveys followed by geostatistical data analysis have become a common and efficient approach for mapping background concentrations at regional and urban scales. Traffic-related pollution is also a matter of concern as regards population exposure but since it acts at shorter spatiotemporal scales, it is usually not integrated in the same maps. However, to provide more comprehensive information to the authorities and the public, the agencies responsible for air quality monitoring are searching for innovative ways of representing background and roadside concentrations together. A methodology based on geostatistics and the examination of the relationships between seasonal nitrogen dioxide concentrations and auxiliary variables is proposed in this study. It is applied to data collected in the French Centre region
Keywords : AIR QUALITY MAPPING NITROGEN DIOXIDE TRAFFIC-RELATED POLLUTION MULTIVARIATE GEOSTATISTICS KRIGING AUXILIARY VARIABLES
Document type :
Journal articles
Complete list of metadatas
https://hal-ineris.archives-ouvertes.fr/ineris-00963138
Contributor : Gestionnaire Civs <>
Submitted on : Friday, March 21, 2014 - 2:17:28 PM
Last modification on : Friday, March 21, 2014 - 2:17:28 PM

Links full text

openaccess

Identifiers

  • HAL Id : ineris-00963138, version 1
  • DOI : 10.1002/env.947
  • INERIS : EN-2008-310

Collections

INERIS

Citation

Laure Malherbe, Giovanni Cardenas, Patrice Colin, Abderrazak Yahyaoui. Using different spatial scale measurements in a geostatistically based approach for mapping atmospheric nitrogen dioxide concentrations Application to the French Centre region. Environmetrics, Wiley, 2008, 19 (7), pp.751-764. ⟨10.1002/env.947⟩. ⟨ineris-00963138⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

111

Contact

Informations

CCSD