Quantifying uncertainties in pollutant mapping studies using the Monte Carlo method

Atmospheric Environment

Volumn 99, Issue , 2014, Pages 333-340

  Tan, Yi ^a   Robinson, Allen L ^a   Presto, Albert A ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Air pollution; Long term exposure; Pollutant mapping; Spatial temporal variation; Uncertainty analysis

Indexed keywords

AIR POLLUTION; AIR QUALITY; MAPPING; MONTE CARLO METHODS; URBAN GROWTH;

ACCURATE MEASUREMENT; ANNUAL AVERAGE CONCENTRATION; LONG TERM EXPOSURE; MONTE CARLO EXPERIMENTS; POLLUTANT MAPPING; POLLUTION CONCENTRATION; SEASONAL AND DIURNAL VARIATIONS; SPATIAL TEMPORALS;

UNCERTAINTY ANALYSIS;

ACCURACY ASSESSMENT; AIR QUALITY; ATMOSPHERIC POLLUTION; MONTE CARLO ANALYSIS; POLLUTION EXPOSURE; POLLUTION MONITORING; PRECISION; SPATIOTEMPORAL ANALYSIS; UNCERTAINTY ANALYSIS;

AIR MONITORING; AIR POLLUTANT; AIR POLLUTION; AIR SAMPLING; ARTICLE; LONG TERM EXPOSURE; MEASUREMENT ACCURACY; MONTE CARLO METHOD; QUANTITATIVE ANALYSIS; SEASONAL VARIATION; URBAN AREA;

EID: 84907982414     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2014.10.003     Document Type: Article

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