Application of mobile sampling to investigate spatial variation in fine particle composition

Atmospheric Environment

Volumn 142, Issue , 2016, Pages 71-82

  Li, Hugh Z ^a   Dallmann, Timothy R ^a   Gu, Peishi ^a   Presto, Albert A ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Air pollution; Land use regression; Mobile sampling; Particle composition; Spatial variation; Traffic

Indexed keywords

AIR POLLUTION; CALCIUM; GEOGRAPHIC INFORMATION SYSTEMS; LEAD; MAGNESIUM; MANGANESE; POLLUTION; REDOX REACTIONS; REGRESSION ANALYSIS; STATISTICAL METHODS; STRONTIUM; TELECOMMUNICATION TRAFFIC; TITANIUM; TRACE ELEMENTS; ZINC;

INDEPENDENT VARIABLES; LAND USE REGRESSION; LEAVE-ONE-OUT CROSS-VALIDATION (LOOCV); MOBILE SAMPLINGS; NATIONAL EMISSION INVENTORIES; PARTICLE COMPOSITION; REGRESSION DIAGNOSTICS; SPATIAL VARIATIONS;

LAND USE;

ALUMINUM; ANTIMONY; ARSENIC; BROMINE; CADMIUM; CALCIUM; CHLORIDE; CHROMIUM; COBALT; COPPER; IRON; LEAD; MAGNESIUM; MANGANESE; NICKEL; POTASSIUM; RUBIDIUM; SELENIUM; SILICON; SODIUM; STRONTIUM; SULFUR; TITANIUM; TRACE ELEMENT; VANADIUM; ZINC; ZIRCONIUM;

ATMOSPHERIC POLLUTION; CHEMICAL COMPOSITION; CONCENTRATION (COMPOSITION); GIS; LAND USE CHANGE; PARTICLE SIZE; PARTICULATE MATTER; POINT SOURCE POLLUTION; POLLUTION MONITORING; PUBLIC HEALTH; REGRESSION ANALYSIS; SAMPLING; SPATIAL VARIATION; TRAFFIC EMISSION;

ARTICLE; CHEMICAL COMPOSITION; CONTROLLED STUDY; COST EFFECTIVENESS ANALYSIS; HUMAN; INDEPENDENT VARIABLE; LAND USE; MASS; OXIDATION REDUCTION POTENTIAL; PARTICULATE MATTER; PRIORITY JOURNAL; SUMMER; UNITED STATES; WINTER; X RAY FLUORESCENCE;

PENNSYLVANIA; PITTSBURGH; UNITED STATES;

EID: 84979294013     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2016.07.042     Document Type: Article

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