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- W2988008571 abstract "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." @default.
- W2988008571 created "2019-11-22" @default.
- W2988008571 creator A5045272535 @default.
- W2988008571 date "2004-01-01" @default.
- W2988008571 modified "2023-09-22" @default.
- W2988008571 title "Statistical Distributions of Ambient Air Pollutants in Shanghai, China" @default.
- W2988008571 hasPublicationYear "2004" @default.
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