Application of plume analysis to build land use regression models from mobile sampling to improve model transferability

Atmospheric Environment

Volumn 134, Issue , 2016, Pages 51-60

  Tan, Yi ^a   Dallmann, Timothy R ^a   Robinson, Allen L ^a   Presto, Albert A ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Air pollution; Black carbon; Exposure assessment; Geographic information systems; Land use regression

Indexed keywords

AIR POLLUTION; AROMATIC HYDROCARBONS; GEOGRAPHIC INFORMATION SYSTEMS; HYBRID VEHICLES; LAND USE; PARTICULATE EMISSIONS; POLLUTION; REGRESSION ANALYSIS;

BLACK CARBON; EXPOSURE ASSESSMENT; HIGH EMITTING VEHICLES; INFORMATION CONTENTS; LAND USE REGRESSION; LAND-USE REGRESSION MODELS; MODEL TRANSFERABILITIES; SOURCE CONTRIBUTIONS;

POLYCYCLIC AROMATIC HYDROCARBONS;

BLACK CARBON; PARTICLE BOUND POLYCYCLIC AROMATIC HYDROCARBON; POLYCYCLIC AROMATIC HYDROCARBON DERIVATIVE; UNCLASSIFIED DRUG;

AIR SAMPLING; ATMOSPHERIC MODELING; ATMOSPHERIC PLUME; ATMOSPHERIC POLLUTION; BLACK CARBON; GIS; LAND USE; MONITORING SYSTEM; POLLUTANT SOURCE; POLLUTION EXPOSURE; REGRESSION ANALYSIS; SUBURBAN AREA; TRAFFIC EMISSION;

AIR ANALYSIS; AIR MONITORING; AIR POLLUTANT; AIR POLLUTION; ARTICLE; ATMOSPHERIC DISPERSION; CONTROLLED STUDY; ENVIRONMENTAL EXPOSURE; KERNEL METHOD; LAND USE; MEASUREMENT; MOBILE APPLICATION; PLUME; PRIORITY JOURNAL; REGRESSION ANALYSIS; SPATIAL ANALYSIS; STATISTICAL MODEL; SUBURBAN AREA; URBAN AREA;

PENNSYLVANIA; PITTSBURGH; UNITED STATES;

EID: 84961644339     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2016.03.032     Document Type: Article

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