An innovative land use regression model incorporating meteorology for exposure analysis

Science of the Total Environment

Volumn 390, Issue 2-3, 2008, Pages 520-529

  Su, Jason G ^a   Brauer, Michael ^a   Ainslie, Bruce ^a   Steyn, Douw ^a   Larson, Timothy ^b   Buzzelli, Michael ^c  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b University of Washington   (United States)

^c UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

Exposure analysis; Land use regression; Meteorology; Source area analysis; Spatio temporal model

Indexed keywords

AIR POLLUTION; GEOGRAPHIC INFORMATION SYSTEMS; LAND USE; METEOROLOGY; NITROGEN OXIDES; POLLUTION DETECTION;

EXPOSURE ANALYSIS; LAND USE REGRESSION METHOD; SOURCE AREA ANALYSIS; SPATIAL ANALYSIS; SPATIO-TEMPORAL MODEL;

REGRESSION ANALYSIS;

NITRIC OXIDE; NITROGEN DIOXIDE;

ATMOSPHERIC POLLUTION; CONCENTRATION (COMPOSITION); GIS; LAND USE; METEOROLOGY; POLLUTION EXPOSURE; PUBLIC HEALTH; SEASONAL VARIATION; SPATIAL ANALYSIS;

ARTICLE; CLOUD; COMPARATIVE STUDY; CONCENTRATION (PARAMETERS); ENVIRONMENT; ENVIRONMENTAL EXPOSURE; GEOGRAPHIC INFORMATION SYSTEM; LAND USE; METEOROLOGY; PRIORITY JOURNAL; REGRESSION ANALYSIS; SEASONAL VARIATION; SUNLIGHT; VELOCITY; WIND;

AIR POLLUTANTS; GEOGRAPHIC INFORMATION SYSTEMS; METEOROLOGICAL FACTORS; MODELS, THEORETICAL; NITRIC OXIDE; NITROGEN DIOXIDE; REGRESSION ANALYSIS; SPACE-TIME CLUSTERING; WEATHER;

EID: 37149024585     PISSN: 00489697     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2007.10.032     Document Type: Article

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