Statistical models to assess the health effects and to forecast ground-level ozone

Environmental Modelling and Software

Volumn 21, Issue 4, 2006, Pages 547-558

  Schlink, Uwe ^a   Herbarth, Olf ^a   Richter, Matthias ^a   Dorling, Stephen ^b   Nunnari, Giuseppe ^c   Cawley, Gavin ^b   Pelikan, Emil ^d  

^a HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^b UNIVERSITY OF EAST ANGLIA   (United Kingdom)

^c UNIVERSITY OF CATANIA   (Italy)

^d INSTITUTE OF COMPUTER SCIENCE   (Czech Republic)

Author keywords

Forecasting; Generalised additive model; Ground level ozone; Health effects; Integrated assessment; Logistic model; Neural network; Prediction performance; Statistical models

Indexed keywords

AIR POLLUTION; HEALTH; MATHEMATICAL MODELS; NEURAL NETWORKS; STATISTICAL METHODS; TROPOSPHERE; WEATHER FORECASTING;

GENERALIZED ADDITIVE MODELS; GROUND-LEVEL OZONE; HEALTH EFFECTS; INTEGRATED ASSESSMENT; LOGISTIC MODELS; PREDICTION PERFORMANCE; STATISTICAL MODELS;

OZONE;

ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC POLLUTION; FORECASTING METHOD; HEALTH IMPACT; OZONE; POLLUTION EXPOSURE;

EID: 32144456452     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2004.12.002     Document Type: Conference Paper

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