Identifying sources of fugitive emissions in industrial facilities using trajectory statistical methods

Atmospheric Environment

Volumn 51, Issue , 2012, Pages 46-55

  Brereton, Carol A ^a   Johnson, Matthew R ^a  

^a CARLETON UNIVERSITY   (Canada)

Author keywords

Backward trajectories; Fugitive emissions; Source location; Trajectory statistical methods

Indexed keywords

BACKWARD TRAJECTORY; CFD SIMULATIONS; COMPUTATIONALLY EFFICIENT; CORRELATION MEASURES; EMISSIONS SCENARIOS; FUGITIVE EMISSIONS; INDUSTRIAL FACILITIES; LARGE DATA; OIL AND GAS INDUSTRY; POLLUTANT SOURCES; POTENTIAL SOURCE CONTRIBUTION FUNCTION; PROOF OF CONCEPT; QUANTITATIVE COMPARISON; RESIDENCE TIME; SEARCH AREA; SOURCE AREA; SOURCE LOCATION;

GAS EMISSIONS; GAS INDUSTRY; GAS PLANTS; GREENHOUSE GASES; STATISTICAL METHODS; TRAJECTORIES;

INDUSTRIAL EMISSIONS;

ATMOSPHERIC POLLUTION; COMPUTATIONAL FLUID DYNAMICS; COMPUTER SIMULATION; CONCENTRATION (COMPOSITION); CORRELATION; DATA SET; GREENHOUSE GAS; IDENTIFICATION METHOD; INDUSTRIAL EMISSION; NUMERICAL MODEL; POLLUTANT SOURCE; PRIMARY SECTOR INDUSTRY; QUANTITATIVE ANALYSIS; SENSITIVITY ANALYSIS; STATISTICAL ANALYSIS;

AIR POLLUTANT; ARTICLE; CONCENTRATION WEIGHTED TRAJECTORY; GEOMETRY; INDUSTRIAL WASTE; NOISE; PETROCHEMICAL INDUSTRY; POTENTIAL SOURCE CONTRIBUTION FUNCTION; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; QUANTITATIVE TRANSPORT BIAS ANALYSIS; RESIDENCE TIME WEIGHTED CONCENTRATION; SENSITIVITY ANALYSIS; SIMULATION; STATISTICAL ANALYSIS; TRAJECTORY STATISTICAL METHOD;

EID: 84863399594     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2012.01.057     Document Type: Article

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