Mass fraction spatiotemporal geostatistics and its application to map atmospheric polycyclic aromatic hydrocarbons after 9/11

Stochastic Environmental Research and Risk Assessment

Volumn 23, Issue 8, 2009, Pages 1213-1223

  Allshouse, William B ^a   Pleil, Joachim D ^a,b   Rappaport, Stephen M ^a,c   Serre, Marc L ^a  

^a University of North Carolina at Chapel Hill   (United States)

^b U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Bayesian maximum entropy; Particulate matter; Polycyclic aromatic hydrocarbons; Space time modeling; World Trade Center

Indexed keywords

ATMOSPHERIC POLYCYCLIC AROMATIC HYDROCARBONS; BAYESIAN MAXIMUM ENTROPIES; ESTIMATION METHODS; GEO-STATISTICS; GEOSTATISTICAL ESTIMATION; MASS FRACTION; MEAN SQUARED ERROR; MONITORING NETWORK; NEW YORK; PARTICULATE MATTER; WORLD TRADE CENTER;

BAYESIAN NETWORKS; ENTROPY; INTERNATIONAL TRADE; MEAN SQUARE ERROR; OFFICE BUILDINGS; ORGANIC COMPOUNDS; POLYCYCLIC AROMATIC HYDROCARBONS; STRAIN ENERGY;

AROMATIC HYDROCARBONS;

BAYESIAN ANALYSIS; CONCENTRATION (COMPOSITION); GEOSTATISTICS; MAXIMUM ENTROPY ANALYSIS; NUMERICAL MODEL; PAH; PARTICULATE MATTER; SPATIOTEMPORAL ANALYSIS; WORLD TRADE CENTER;

NEW YORK [NEW YORK (STT)]; NEW YORK [UNITED STATES]; NORTH AMERICA; UNITED STATES;

EID: 71149085392     PISSN: 14363240     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00477-009-0326-y     Document Type: Article

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