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RESEARCH· ·1970·

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..;<br />

ppm. Then U = 0.7 and s.d. = ·o.15 + (0.063) (0.7)<br />

= 0.19 ppm, or the expected standard deviation<br />

would be about 0.2 ppm, and the expected coefficient<br />

of variation would be 27 percent after rounding.<br />

TABLE 2.-The arithmetic mean and standard deviation for duplicate<br />

uranimn determinations grouped by ranges regardless of<br />

plant species<br />

Number of pnlrs of dotcrmlnntlons<br />

43 _____________________ _<br />

106 ____________________ _<br />

78----------------------<br />

51 _____________________ _<br />

17 _____________________ _<br />

20 _____________________ _<br />

11 _____________________ _<br />

z 3.0<br />

0<br />

::i<br />

..J<br />

:::E 2.5<br />

0:<br />

w<br />

Q..<br />

~ 2.0<br />

0:<br />

~<br />

~ 1.5<br />

z<br />

0<br />

i=<br />

=:; 1.0<br />

> w<br />

0<br />

~ 0.5<br />

c(<br />

0<br />

z<br />

c(<br />

1-<br />

rn<br />

0 5 10 15<br />

Rnngc (ppm)<br />

0. 0- 0. 8<br />

. 8- 1. 6<br />

1. 6- 3. 2<br />

3. 2- 6. 4<br />

6. 4-12. 8<br />

12. 8-25. 6<br />

25. 6-51. 2<br />

Arithmetic<br />

menn<br />

(ppm)<br />

0. 54<br />

1. 15<br />

2. 31<br />

4. 45<br />

9.46<br />

18. 22<br />

34. 77<br />

Regression line<br />

Standard deviation in parts per<br />

million= 0.15 + 0.063 X uranium<br />

concentration (For range 0.4 to<br />

35 ppm)<br />

HUFFMAN AND RILEY<br />

Standard<br />

deviation<br />

(ppm)<br />

0. 14<br />

. 21<br />

. 31<br />

. 39<br />

. 73<br />

1. 48<br />

2. 26<br />

20 25 30 35 40<br />

URANIUM CONCENTRATION IN PLANT ASH,<br />

IN PARTS PER MILLION<br />

FIGURE 1.-Arlthmetlc means and standard deviations from<br />

table 2 and their 1 re~ression line.<br />

B183<br />

2. Observed concentration of uranium in ash = 10.0<br />

ppm. Then s.d. = 0.15 + ( 0.063) ( 10.0) = 0.78 ppm,<br />

or the expected standard deviation would be about<br />

0.8 ppm, and the expected coefficient of variation<br />

would be about 8 percent after rounding.<br />

For many purposes the equation could be rounded to<br />

standard deviation = 0.2 + 0.06 U. If ·m!Mly solutions<br />

are needed, the use of a graphical method similar to<br />

that shown in figure 1 may be helpful.<br />

Two precautions in the use of this equation should<br />

be noted : ( 1) the precision measured is for the analysis<br />

of uranium in a given sample of plant ash; the equation<br />

does not give the precision to be expected from two<br />

samples from the same tree; and (2) the equation<br />

should not be extra pol a ted beyond the range of the<br />

uranium content of the samples used in its derivation<br />

(0.4-35 ppm U in ash). ..<br />

A study of the accuracy of the fluorimetric method<br />

for determining uranium in plants, as contrasted with<br />

its precision, has not been attempted. However, the use<br />

of blanks and of known solutions as standards, as<br />

described in the procedure, gives considerable assurance<br />

that there is no appreciable bias in the m~thod.<br />

REFERENCES<br />

Cannon, H. L., 1954, Botanical methods of prospecting for<br />

uranium [Colorado Plateau]: Mining Eng., v. 6, no. 2,<br />

p. 217-220.<br />

Cannon, H. L., and Starrett, W. H., 1956, Botanical prospecting<br />

for uranium on r. .. a Ventana Mesa, Sandoval County,<br />

N. Mex. : U.S. Geol. Survey Bull. 1009-M, p. 391-407.<br />

Grimaldi, F. S., May, Irving, }~letcher, M. H., and Titcomb,<br />

Jane, compilers, 1954, Collected papers on methods of<br />

analysis for uranium and thorium: U.S. Geol. Survey Bull.<br />

1006, 184 p.<br />

Kinser, C. A., 1954, The Model VI transmission fluorimeter for<br />

the determination of uranium: U.S. Geol. Survey Circ. 330,<br />

9 p.<br />

· ..

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