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

Auteurs :
GULDMANN, J.-M.
KIM, H.-Y.

Description :
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.


Type de document :
Article de périodique

Source :
Geographical analysis, issn : 0016-7363, 2001, vol. 33, n°. 2, p. 156-180, Collation : Illustration, Références bibliographiques : 39 ref.

Date :
2001

Editeur :
Pays édition : Etats-Unis, Columbus, OH, Ohio State University Press