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Interaction of Oil Residues in Patagonian Soil
161
TABLE 9 Experimental Parameters for Eq. (11)
Oil spill
age
Sample (years)
1
2
3
4
5
6
7
Ͼ10
10
6
3
3
2
—
Without catalyst
With catalyst
f
k F (dayϪ1 )
10 3 k s (dayϪ1 )
f
k F (dayϪ1 )
10 3 k s (dayϪ1 )
0.063
0.159
0.156
0.135
0.198
0.051
0.170
0.09
0.043
0.10
0.09
0.13
0.13
0.08
3.9
0.1
0.8
0.4
0.02
0.4
0.9
0.086
0.135
0.086
0.159
0.246
0.136
0.166
0.11
0.06
0.08
0.04
0.07
0.14
0.19
3.2
1.0
1.9
1.4
0.2
0.9
1.6
Ct
ϭ f exp (Ϫk F t) ϩ (1 Ϫ f ) exp (Ϫk S t)
C0
(11)
The experimental parameters ( f, k F , and k S ) are summarized in Table 9 for
the degraded environmental samples (1–6) and for an artificial sample (7), without catalyst and with catalyst. Figure 14 shows the experimental data for oil
residual in soil with 10 years of exposure time. The results indicate that only the
slow kinetics could correspond to a photodegradative process, because only it is
affected by the AOP (TiO 2 /Fenton’s) catalysis. Figure 15 shows that, in the case
of oil residual with two years of exposure time, it is probable that both kinetics
could be affected by AOP (TiO 2 /H 2 O 2 ) catalysis. This is in agreement with our
FIG. 14 C t /C 0 (%), the fraction percentage of oil remaining as a function of sunlight
exposure time (days) for sample 2: without catalyst (circles) and with TiO 2 /Fenton’s catalyst (triangles).
TM
Copyright n 2003 by Marcel Dekker, Inc. All Rights Reserved.
162
´
Nudelman and Rıos
FIG. 15 C t /C 0 (%), the fraction percentage of oil remaining as a function of sunlight
exposure time (days) for sample 6: without catalyst (circles) and with TiO 2 /H 2 O 2 catalyst
(triangles).
FIG. 16 C t /C 0 (%), the fraction percentage of oil remaining as a function of sunlight
exposure time (days) for the artificial sample: without catalyst (circles) and with TiO 2 /
H 2 O 2 catalyst (triangles).
TM
Copyright n 2003 by Marcel Dekker, Inc. All Rights Reserved.
Interaction of Oil Residues in Patagonian Soil
163
observation of similar behavior for an artificial sample. Figure 16 shows an important reduction in the concentration (probably by partial evaporation of the
volatile fraction) and similar initial AOP (TiO 2 /H 2 O 2 ) catalytic effects from the
beginning of the curve, as shown previously.
Because light penetration into soils is very limited (i.e., 0.1 to maximal 0.5
mm) and wavelength dependent, the fraction of total compounds actually exposed
to light depends on the type of soil, on the thickness of the soil layer, and on
the light absorption spectrum of the compounds. Thus, the rate of transport of
the compounds from dark to irradiated zones influences the observed overall
elimination rate. Because transport depends on the gas/solid partitioning behavior
of the compounds, and since sorption is strongly influenced by humidity and
other factors [25], the reported rates may have a comparative value. Transportdiffusion problems to the irradiated zone were excluded in the evaluation of the
rates in the slow kinetics, because the slow kinetics is clearly affected by catalytic
effects, Figures 14–16. The possibility of important catalytic surface effects on
crude oil adsorption can be excluded in the present study, since the solid catalysts
were no better than the liquids (i.e., H 2 O 2 ).
IV.
CONCLUSIONS
The determination of physical chemical parameters in natural field samples can
be an important mechanistic tool for understanding the fate of oil residues, its
significance to bioavailability, and the remediation of organic pollutants and a
guide to the right choice of the cleanup technology. Studies with crude oil and
aged oil residues were preferred to artificial, mock mixtures of few known components, since field studies are more realistic and the parameters and empirical
equations determined can be used straightforwardly in the environmental models
designed to evaluate likely remediation techniques.
Because of the exceptionally low organic matter content of Patagonian soils,
an alternative model for sorption of oils in soils was proposed, involving interactions with clays (dipole–dipole, ion–dipole, and van der Waals types of interactions), based on the finding of biparametric relationships between K d and the clay
and water content of the soils. The model was confirmed by other measurements,
which showed that the sorption and desorption of the oil residues depend on the
age of the spill, the clay and water content of the soil, the salinity of the aqueous
phase in contact with the residue, and the salinity of the soil. A characteristic
compositional index could give the degree of oil residual stabilization.
The influence of AOP catalysts on oil residue photodegradation was shown to
be important, especially in the slow kinetic steps, and catalytic photodegradation
should be considered as a possible remediation treatment of the contaminated
soils, together with other technologies. A numerical model was developed capa-
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Copyright n 2003 by Marcel Dekker, Inc. All Rights Reserved.
´
Nudelman and Rıos
164
ble of handling complex and long time-dependence systems, one that could make
sound contributions to the management of oil residues in the petroleum industry.
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Copyright n 2003 by Marcel Dekker, Inc. All Rights Reserved.