Improving pollutant source characterization by better estimating wind direction with a genetic algorithm

Atmospheric Environment

Volumn 41, Issue 11, 2007, Pages 2283-2289

  Allen, Christopher T ^a   Young, George S ^a   Haupt, Sue Ellen ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Data assimilation; Dispersion model; Genetic algorithm; Source characterization; Wind data uncertainty

Indexed keywords

GAUSSIAN NOISE (ELECTRONIC); GENETIC ALGORITHMS; MATHEMATICAL MODELS; METEOROLOGY; SECURITY SYSTEMS; THERMAL PLUMES; WIND;

DATA ASSIMILATION; DISPERSION MODEL; SOURCE CHARACTERIZATION; WIND DATA UNCERTAINTY;

IMPURITIES;

ATMOSPHERIC POLLUTION; DATA ASSIMILATION; DISPERSION; EXPERIMENTAL STUDY; GAUSSIAN METHOD; GENETIC ALGORITHM; MODEL VALIDATION; NUMERICAL MODEL; POLLUTANT SOURCE; POLLUTANT TRANSPORT; POLLUTION MONITORING; WHITE NOISE; WIND DIRECTION;

AIR POLLUTANT; ARTICLE; DISPERSION; GENETIC ALGORITHM; MATHEMATICAL MODEL; PRIORITY JOURNAL; SCORING SYSTEM; WIND;

EID: 33847073334     PISSN: 13522310     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2006.11.007     Document Type: Article

References (12)

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