(Article of periodic en Anglais - 2001)

Document title

Modeling air quality in urban areas : a cell-based statistical approach

Authors(s) and Affiliation(s)



Statistical regression models are presented that explain the observed variations, across USA urban areas, in the concentrations of two major pollutants, ozone and carbon monoxide. Model specification and estimation are based on an explicit and new spatial framework derived from the theoretical concept of well-mixed cells. The concentration in each cell results from the balance of pollutant flows into and out of this cell, and of pollutant emissions and removal within that cell. It is expressed as the sum of the local effect and of the regional effect. A large data base is developed, making extensive use of GIS technology, to spatially relate such data as pollution measurements, meteorological factors, and socioeconomic data


Article of periodic

published at : Geographical analysis / ISSN 0016-7363

Editor : Ohio State University Press, Columbus, OH - ETATS-UNIS (1969)

Millesime : 2001, vol. 33, no2 [pp. 156-180]

Bibliographic references : 39 ref.

Collation : Illustration ;




Laboratoire INTERGEO - Paris

INIST-CNRS, Cote INIST : 17078

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2001.
Refdoc record number (ud4) : 6181786 : Permanent link - XML version
Powered by Pxxo