Ln kjj CxNj MxAj g

"Aj" is the alcohol EACN, and g, M, and N are correlation constants obtained by regression of data from partitioning alcohols and NAPLs. Thus, "B" of equation (2) is equal to (MxAj + g) in Equation (3), and "C" of equation (2) is equal to "C" of equation (3). Dwarkanath and Pope (1998) obtained values of M, g, and C for 22 different alcohols and nine NAPLs. Referring to "B" values in Table II, the alcohol EACN ranking is consistent with their alcohol EACN ranking. Furthermore, the EACNs of 2-methyl 2-hexanol, 2-methyl 3-hexanol, and 2,4-dimethyl 3-pentanol are similar since these alcohols contain the same number of carbons. The greatest EACN alcohol, 2,4-dimethyl 3-pentanol, exhibits greater branching than the other two alcohols. 1-pentanol is the lowest EACN alcohol from Table III, which is consistent with the fact that it has two less carbons than the other three alcohols listed above.

NAPL EACNs for commercial diesel oil, NAPL from Hill AFB OU1, and commercial motor oil were determined by measuring the alcohol partitioning into each NAPL and back-estimating the NAPL EACN via Figure 2 and Equation 2, with results summarized in Table III. The EACN of diesel is very close to the value estimated from the gas chromatographic analysis of commercial diesel fuels using the linear mixing rules described previously, (e.g., CHROM 2033, Alltech Catalog 450, 1999, P. 69). Both motor oil and Hill OU1 oil have EACNs greater than diesel, as expected. Thus, determining NAPL EACNs by partitioning alcohols is a very useful tool for hydrophobic oil characterization.

Table III. EACN determination of several multi-component hydrophobic oils.

2,4dm 2me 2me Average

3 ptnl 3hxnl 2hxnl NAPL

EACN

Motor oil

11.69 15.6

Hill OUI

9.37

15.4

22.2

15.4

23.5

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