论文信息 - On the propagation of error in air pollution measurements

On the propagation of error in air pollution measurements

Four methods for estimating the uncertainties in air pollution measurements are outlined. The approaches are: analytical solution-approximation; application of distribution theory; experimentation; and simulation. The advantages and disadvantages of each method are illustrated using data from High-Volume air samplers, the instrument most commonly used for monitoring ambient concentrations of airborne particles.

[1] M. Stephens. Use of the Kolmogorov-Smirnov, Cramer-Von Mises and Related Statistics without Extensive Tables , 1970 .

[2] S. Shapiro,et al. An Analysis of Variance Test for Normality (Complete Samples) , 1965 .

[3] Richard Stevens Burington,et al. Handbook of Probability and Statistics, with Tables , 1954 .

[4] T. Stanley,et al. Collaborative testing of methods to measure air pollutants. I. The high-volume method for suspended particulate matter. , 1972, Journal of the Air Pollution Control Association.

[5] K. A. Busch,et al. Occupational exposure sampling strategy manual , 1977 .

[6] William G. Cochran,et al. Experimental Designs, 2nd Edition , 1950 .

[7] R. C. Gatti,et al. A .beta.-gage method applied to aerosol samples. , 1981, Environmental science & technology.

[8] D.Lynn Shaeffer,et al. A model evaluation methodology applicable to environmental assessment models , 1980 .

[9] G. B. Wetherill,et al. Quality control practices , 1975 .

[10] M. Stephens. EDF Statistics for Goodness of Fit and Some Comparisons , 1974 .

[11] J. Aitchison,et al. The Lognormal Distribution. , 1958 .