Document Detail

Statistical distributions of ambient air pollutants in Shanghai, China.
MedLine Citation:
PMID:  15602835     Owner:  NLM     Status:  MEDLINE    
OBJECTIVE: To determine the best statistical distribution of concentration data of major air pollutants in Shanghai. METHODS: Four types of theoretic distributions (lognormal, gamma, Pearson V and extreme value) were chosen to fit daily average concentration data of PM10, SO2 and NO2 from June 1, 2000 to May 31, 2003 in Shanghai by using the maximum likelihood method. The fit results were evaluated by Chi-square test. RESULTS: The best-fit distributions for PM10, SO2 and NO2 concentrations in Shanghai were lognormal, Pearson V, and extreme value distributions, respectively. CONCLUSION: The results can be further applied to local air pollution prediction and control, e.g., the probabilities exceeding the air quality standard and emission source reduction of air pollutant concentration to meet the standard.
Hai-Dong Kan; Bing-Heng Chen
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Biomedical and environmental sciences : BES     Volume:  17     ISSN:  0895-3988     ISO Abbreviation:  Biomed. Environ. Sci.     Publication Date:  2004 Sep 
Date Detail:
Created Date:  2004-12-16     Completed Date:  2005-02-17     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8909524     Medline TA:  Biomed Environ Sci     Country:  United States    
Other Details:
Languages:  eng     Pagination:  366-72     Citation Subset:  IM    
Department of Environmental Health, School of Public Health, Fudan University, Box 249, 138 Yixueyuan Road, Shanghai 200032, China.
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MeSH Terms
Air Pollutants / analysis*
Air Pollution / statistics & numerical data*
Environmental Monitoring
Nitric Oxide / analysis*
Particle Size
Statistical Distributions*
Sulfur Dioxide / analysis*
Reg. No./Substance:
0/Air Pollutants; 10102-43-9/Nitric Oxide; 7446-09-5/Sulfur Dioxide

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