Statistical Distributions of Ambient Air Pollutants in Shanghai,China

HAI-DONG KAN; BING-HENG CHEN

PDF
Cite
Share

facebook

twitter

google

linkedin

Volume 17 Issue 3

Sep. 2004

Turn off MathJax

Article Contents

Article Navigation > Biomedical and Environmental Sciences > 2004 > 17(3): 366-372

HAI-DONG KAN, BING-HENG CHEN. Statistical Distributions of Ambient Air Pollutants in Shanghai,China[J]. Biomedical and Environmental Sciences, 2004, 17(3): 366-372.

Citation:

HAI-DONG KAN, BING-HENG CHEN. Statistical Distributions of Ambient Air Pollutants in Shanghai,China[J]. Biomedical and Environmental Sciences, 2004, 17(3): 366-372.

Statistical Distributions of Ambient Air Pollutants in Shanghai,China

Department of Environmental Health, School of Public Health, Fudan University, Box 249, 138 Yixueyuan Road, Shanghai 200032, China

Funds: This work was supported by Shanghai Municipal Committee of Science and Technology through grant(03DZ05052)

Abstract

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.
- Air pollution,
- Statistical distribution,
- Shanghai,
- Maximum likelihood
References
Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Get Citation

PDF

XML

Article Metrics

Article views(1112) PDF downloads(29) Cited by()

Proportional views

Statistical Distributions of Ambient Air Pollutants in Shanghai,China

Department of Environmental Health, School of Public Health, Fudan University, Box 249, 138 Yixueyuan Road, Shanghai 200032, China

Funds: This work was supported by Shanghai Municipal Committee of Science and Technology through grant(03DZ05052)

Key words:

Abstract: 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. Statistical Distributions of Ambient Air Pollutants in Shanghai,China[J]. Biomedical and Environmental Sciences, 2004, 17(3): 366-372.

Citation:

HAI-DONG KAN, BING-HENG CHEN. Statistical Distributions of Ambient Air Pollutants in Shanghai,China[J]. Biomedical and Environmental Sciences, 2004, 17(3): 366-372.