Quantile-based Bayesian maximum entropy approach for spatiotemporal modeling of ambient air quality levels

Environmental Science and Technology

Volumn 47, Issue 3, 2013, Pages 1416-1424

  Yu, Hwa Lung ^a   Wang, Chih Hsin ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

AMBIENT AIR POLLUTION; AMBIENT AIR QUALITY; AMBIENT CONCENTRATIONS; BAYESIAN MAXIMUM ENTROPIES; CHEMICAL MECHANISM; DAILY CHANGE; ENVIRONMENTAL DATA; ENVIRONMENTAL HEALTH; ESTIMATION PERFORMANCE; HIGH HETEROGENEITY; HIGH VARIABILITY; HUMAN EXPOSURES; MEAN ABSOLUTE ERROR; NON-HOMOGENEOUS; NONSTATIONARY; PM10 CONCENTRATION; POLLUTION LEVEL; SITE-SPECIFIC; SMOOTHING TECHNIQUES; SPACE AND TIME; SPATIO-TEMPORAL VARIATION; SPATIOTEMPORAL MODELING; STANDARD DEVIATION; TEMPORAL SCALE;

AIR QUALITY; PARTICLES (PARTICULATE MATTER); POLLUTION;

MAXIMUM ENTROPY METHODS;

ACCURACY ASSESSMENT; AIR QUALITY; AMBIENT AIR; ASSESSMENT METHOD; ATMOSPHERIC POLLUTION; BAYESIAN ANALYSIS; CARBON MONOXIDE; CONCENTRATION (COMPOSITION); DATA SET; ENTROPY; HETEROGENEITY; HOMOGENEITY; NUMERICAL MODEL; PHYSICOCHEMICAL PROPERTY; POLLUTION EXPOSURE; SPATIOTEMPORAL ANALYSIS;

ACCURACY; AIR POLLUTANT; AIR POLLUTION; AIR QUALITY; AMBIENT AIR; ANALYTICAL ERROR; ARTICLE; BAYES THEOREM; CONCEPTUAL FRAMEWORK; ENTROPY; ENVIRONMENTAL EXPOSURE; QUANTILE BASED BAYESIAN MAXIMUM ENTROPY; SPATIOTEMPORAL ANALYSIS; TAIWAN;

AIR; AIR POLLUTION; BAYES THEOREM; CARBON MONOXIDE; ENTROPY; ENVIRONMENTAL MONITORING; MODELS, THEORETICAL; PARTICLE SIZE; PARTICULATE MATTER; REPRODUCIBILITY OF RESULTS; SEASONS; TAIWAN;

EID: 84873477866     PISSN: 0013936X     EISSN: 15205851     Source Type: Journal    
DOI: 10.1021/es302539f     Document Type: Article

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