Differential probability functions for investigating long-term changes in local and regional air pollution sources

Aerosol and Air Quality Research

Volumn 19, Issue 4, 2019, Pages 724-736

  Masiol, Mauro ^a   Squizzato, Stefania ^a   Cheng, Meng Dawn ^b   Rich, David Q ^a   Hopke, Philip K ^a,c  

^a UNIVERSITY OF ROCHESTER MEDICAL CENTER   (United States)

^b OAK RIDGE NATIONAL LABORATORY   (United States)

^c CLARKSON UNIVERSITY   (United States)

Author keywords

Air pollution; Differential probability functions; Long term trends

Indexed keywords

AEROSOLS; AIR POLLUTION; AIR QUALITY; ELECTRON TRANSITIONS; LOCATION; ORGANIC CARBON; PARTICULATE EMISSIONS; PLANT SHUTDOWNS; ROADS AND STREETS; SULFUR COMPOUNDS;

CONDITIONAL PROBABILITIES; CONDITIONAL PROBABILITY FUNCTION; DIFFERENTIAL PROBABILITIES; LONG-TERM TREND; NATIONAL EMISSION INVENTORIES; NUCLEATION MODE PARTICLES; POTENTIAL SOURCE CONTRIBUTION FUNCTION; SECONDARY INORGANIC AEROSOL;

PROBABILITY;

AEROSOL; AIR QUALITY; ATMOSPHERIC POLLUTION; BLACK CARBON; CONCENTRATION (COMPOSITION); EMISSION INVENTORY; LONG-TERM CHANGE; PARTICULATE MATTER; POLLUTANT SOURCE; POWER PLANT; PROBABILITY DENSITY FUNCTION; SOURCE IDENTIFICATION;

NEW YORK [UNITED STATES]; ROCHESTER; UNITED STATES;

EID: 85059750207     PISSN: 16808584     EISSN: 20711409     Source Type: Journal    
DOI: 10.4209/aaqr.2018.09.0327     Document Type: Article

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