Modelling air pollution for epidemiologic research - Part II: Predicting temporal variation through land use regression

Science of the Total Environment

Volumn 409, Issue 1, 2010, Pages 211-217

  Molter A ^a   Lindley, S ^b   de Vocht, F ^a   Simpson, A ^b   Agius, R ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Air pollution; Land use regression; Temporal variation

Indexed keywords

AIR DISPERSION MODEL; AIR POLLUTION EXPOSURES; ANNUAL MEAN; AUTOMATIC MONITORING; DEPENDENT VARIABLES; HEALTH EFFECTS; INDIVIDUAL MODELS; LAND USE REGRESSION; LAND-USE REGRESSION MODELS; MANCHESTER; MONITORING STATIONS; POLLUTANT CONCENTRATION; PREDICTION ERRORS; ROOT MEAN SQUARED ERRORS; SHORT-TERM MONITORING; SPATIAL SCALE; TEMPORAL VARIATION; TEMPORALLY RESOLVED; TIME-PERIODS; TRAFFIC INTENSITY;

AIR QUALITY; CONCENTRATION (PROCESS); FORECASTING; LAND USE; REGRESSION ANALYSIS;

POLLUTION;

NITROGEN DIOXIDE;

ASTHMA; ATMOSPHERIC POLLUTION; EPIDEMIOLOGY; HEALTH RISK; LAND USE; NUMERICAL MODEL; POLLUTION EXPOSURE; REGRESSION ANALYSIS; TEMPORAL VARIATION;

AIR MONITORING; AIR POLLUTION; ARTICLE; ATMOSPHERIC DISPERSION; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL HEALTH; EPIDEMIOLOGY; EXHAUST GAS; HEALTH HAZARD; LAND USE; LONG TERM EXPOSURE; PARTICULATE MATTER; PREDICTION; PRIORITY JOURNAL; UNITED KINGDOM;

AIR POLLUTANTS; AIR POLLUTION; ENVIRONMENTAL MONITORING; EPIDEMIOLOGIC STUDIES; MODELS, CHEMICAL; NITROGEN DIOXIDE; PARTICULATE MATTER; REGRESSION ANALYSIS;

ENGLAND; MANCHESTER [ENGLAND]; UNITED KINGDOM;

EID: 78149361897     PISSN: 00489697     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2010.10.005     Document Type: Article

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