830 PARTICULATE EMISSIONS
certain mathematical manipulations. A comprehensive sum-
mary of various distribution functions is given by Orr.^39 The
most useful function in emission applications seems to be the
long-normal distribution. Commercial graph paper is avail-
able having one logarithmic scale and one cumulative normal
probability scale. If particle size is plotted vs. cumulative
percentage of sample at or below that size, the log-normal
distribution gives a straight line. A large percentage of emis-
sions and ambient particulate distributions have log-normal
distributions, and plotting on log-probability paper usually
facilitates interpolation and extrapolation even when the line
is not quite straight. For a true log-normal distribution very
simple relationships permits easy conversion between distri-
butions based on number, weight, surface area, and so on,
which are covered in Orr.^39 Relationships between weight
and number distribution are shown in Figure 12.
REFERENCES
- Stern, A.C. 1977, Air Pollution Standards, 5 , Chapter 13 in Air Pollu-
tion, 3rd Edition, Ed. by A.C. Stern, Academic Press, New York. - Greenwood, D.R., G.L. Kingsbury, and J.G. Cleland, “A Handbook of
Key Federal Regulations and Criteria for Multimedia Environmental
Control” prepared for U.S. Environmental Protection Agency. Research
Triangle Institute, Research Triangle N.C. 1979. - National Center for Air Pollution Control (1968), A Compilation of
Selected Air Pollution Emission Control Regulations and Ordinance,
Public Health Service Publication No. 999-AP-43. Washington. - National Research Council ad hoc Committee (vol. 1, 1998, vol.
2, 1999, vol. 3, 2001) “Research Priorities for Airborne Particulate
Matter”, National Academy Press, Washington, D.C.
5. Friedrich, R. and Reis, S. (2004) “Emissions of Air Pollutants” Springer,
Berlin.
6. Katz, M. ed. “Methods of Air Sampling and Analysis” American Public
Health Association, Washington, 1977.
7. Powals, R.J., L.V. Zaner, and K.F. Sporck, “Handbook of Stack Sam-
pling and Analysis” Technomic Pub. Co. Westport Ct., 1978.
8. Brenchley, D.L., C.D. Turley, and R.F. Yarmak “Industrial Source Sam-
pling Ann Arbor Science, Ann Arbor MI 1973.
9. Hawksley, P.G.W., S. Badzioch, and J.H. Blackett, “Measurement of
Solids in Flue Gases, 2nd Ed.” Inst. of Fuel, London, 1977.
10. Kudlich, R., Ringlemann Smoke Chart, US Bureau of Mines Informa-
tion Circular 7718, revised by L.R. Burdick, August, 1955.
11. Weisburd, M.I. (1962), Air Pollution Control Field Operations, Chapter
10, US Public Health Service, Publication 397, Washington.
12. Griswold, S.S., W.H. Parmelee, and L.H. McEwen, Training of Air pol-
lution Inspectors, 51st annual meeting APCA, Philadelphia, May 28,
1958.
13. Conner, W.D. and J.R. Hodkinson (1967), Optical Properties and Visual
Effects of Smoke-Stack Plumes, PHS Publication No. 999-AP-30.
14. Environmental Protection Agency, Standards of performance for new
stationary sources, Code of Federal Regulations 40 CFR, Part 60.
15. McKee, Herbert C. (1971), Instrumental method substitutes for visual
estimation for equivalent opacity, Jr. APCA 21 , 489.
16. Ensor, D.S. and M.J. Pilat (1971), Calculation of smoke plume opacity
from particulate air pollutant properties, Jr. APCA 21 , 496.
17. Carpenter, S.B., T.L. Montgomery, J.M. Leavitt, W.C. Colbaugh and
F.W. Thomas (1931), Principal plume dispersion models, Jr. APCDA
21, 491.
18. Air Pollution Control Association Directory and Resource Book pp
143–158. Pittsburgh, 1981.
19. Code of Federal Regulations 40:CFR 86.004–11. US Government
Printing Office, Washington 7/1/2004.
20. Code of Federal Regulations 40:CFR 89.112. US Government Printing
Office, Washington 7/1/2004.
21. Code of Federal Regulations 40:CFR 92.8, US Government Printing
Office, Washington 7/1/2004.
Geometric Mean
(Count Basis) And
Number-Median
Diameter
Geometric Mean
(Mass Basis)
And Mass-Median
Diameter
dgm
dgc
110100
99
98
95
90
80
70
60
50
40
30
20
10
5
2
1
LOG-NORMAL DISTRIBUTIONS
PARTICLE DIAMETER, MICRONS
(LOGARITHMIC SCALE)
(NORMAL PROBABILITY SCALE)
PERCENT UNDERSIZE
log = 6.91log
84.13
d 50
d
d gm
dgc
=
2
( ( σ
σ
Number Distributio
n
Mass Distribution
FIGURE 12
C016_001_r03.indd 830C016_001_r03.indd 830 11/18/2005 1:15:36 PM11/18/2005 1:15:36 PM