United States
                   Environmental Protection
                   Agency
 Robert S. Kerr Environmental
 Research Laboratory
 Ada OK 74820
                   Research and Development
  EPA/600/S2-89/039  Aug. 1989
&EPA         Project  Summary

                   Sensitive  Parameter
                   Evaluation  for  a Vadose Zone
                   Fate  and Transport Model

                   David K. Stevens, William J. Grenney, Zhao Van, and Ronald C. Sims
                    The full report presents information
                  pertaining to quantitative evaluation
                  of the potential impact of selected
                  parameters on output of vadose zone
                  transport and fate models used  to
                  describe  the behavior of hazardous
                  chemicals in soil. The Vadose Zone
                  Interactive Processes (VIP)  model
                  was selected as the test model for
                  this study.
                    Laboratory  and  field experiments
                  were conducted to evaluate the effect
                  of sensitive soil and model param-
                  eters  on  the degradation and soil
                  partitioning of hazardous chemicals.
                  Laboratory experiments  were con-
                  ducted to determine the effect  of
                  temperature,  soil moisture and soil
                  type on the degradation  rate. Field-
                  scale experiments were conducted  to
                  evaluate oxygen dynamics, through
                  depth  and time, for petroleum waste
                  applied to soil.
                    Results of laboratory experiments
                  demonstrated that the sensitivity  of
                  the degradation rate to changes  in
                  temperature and soil moisture was
                  generally  greater for  low  molecular
                  weight compounds and less for high
                  molecular weight compounds. For the
                  two soil types evaluated, soil type
                  was more significant  with regard to
                  immobilization.  Soil type was  not
                  found  to have an effect on degrada-
                  tion kinetics for the majority of chem-
                  icals evaluated.
                    The effect of oxygen concentration
                  on chemical  degradation as pre-
                  dicted  by the test model was found to
                  depend upon the  magnitude of the
                  oxygen half-saturation  constant.
                  Oxygen-limited degradation would be
 anticipated to occur shortly after the
 addition of chemicals to  soil and
 during active microbial metabolism of
 chemicals.
  Model output results for temper-
 ature dependent reactions indicated
 that depth-concentration  profiles
 would  be  sensitive to, and directly
 related to  the temperature correction
 coefficient (0)  for each chemical.
 Model  outputs would be very  sensi-
 tive to soil temperature when values
 for 8 were  1.04 or greater.
  Results from laboratory and  short-
 term field studies indicated that
 sensitive model parameters-of a site-
 specific nature need to be addressed
 in modeling the fate and behavior of
 hazardous chemicals in the unsatu-
 rated zone of a soil system.
  This  Project Summary was devel-
 oped by EPA's Robert S. Kerr Environ-
 mental Research Laboratory,  Ada, OK,
 to announce key findings of the re-
 search project  that is fully  docu-
 mented in a separate report of the
 same title  (see Project Report order-
 ing information at back).


 Introduction
  A mathematical description of the
 soil/waste system establishes a unifying
 framework for evaluation of laboratory
 screening and field data that is useful for
 determination of treatment potential for a
 waste in soil. Mathematical models pro-
vide an approach for integration of the
simultaneous processes of degradation
and partitioning in soil systems so that an
assessment can  be made of the pres-
ence of hazardous substances  in  leach-

-------
ate,  soil and  air. Models provide  an
estimate of the potential for groundwater
and  air contamination through a  deter-
mination  of  the  rate  and  extent of
contaminant transport and degradation in
soil  as related   to  specific  soil  and
compound characteristics for a particular
site. Description  of quantitative fate and
transport of chemicals in soil systems
also allows for  identification of  those
chemicals that   require  management
through control of mass transport  and/or
treatment  to reduce or eliminate their
hazardous potential. Thus, mathematical
models represent powerful tools for rank-
ing design, operation, and  management
alternatives, as well as for the design of
monitoring programs  for soil  treatment
systems.
  The Regulatory and  Investigative Treat-
ment Zone (RITZ) model, was developed
at the  Robert S. Kerr  Environmental
Research  Laboratory (RSKERL), Ada,
Oklahoma, for use in evaluating  volatil-
ization-corrected  degradation  and  parti-
tioning of  organic constituents in  land
treatment systems (USEPA,  1988). The
RITZ model incorporates factors involved
in soil  treatment at  a land  treatment
facility, including  site, soil,  and  waste
characteristics. The Vadose Zone Inter-
active  £rocesses (VIP)  model  was
developed as an enhancement  of  the
RITZ model to allow for prediction of the
dynamic  behavior of hazardous sub-
stances in unsaturated  soil systems
under  conditions  of variable precipitation,
temperature, and waste application
(Grenney et a).  1987; Van  1988). These
models simulate  vadose zone processes
including  volatilization, degradation,
sorption/desorption.advection, and  dis-
persion.  The VIP model, Version  3.0
(Stevens  et al.,  1988) was used  as the
test model in this study.
   Rational mathematical models  of  soil
treatment  are  based upon  conceptual
models of soil treatment processes.  The
degradation  process  represents an
important destructive  mechanism for
organic substances in soil systems.
 Important  variables that may affect the
 degradation of organic chemicals in soil
 include temperature, oxygen  concentra-
 tion, moisture, and soil type. Therefore,
 these  variables are  anticipated to
 influence the  degradation   rate  of  a
 hazardous substance. Quantitative  rela-
 tionships for  temperature and  oxygen
 concentration were incorporated into the
 current version of the test model to allow
 for determination  of the  effects of
 sensitive parameters on  model  predic-
 tions of chemical fate and transport.
  The overall objective of this research
project was to  determine the effect oi
sensitive  model and  soil  parameters oh
soil treatment and on model outputs.
  Specific  objectives of  this research
project were fo:

1.  Select  and  modify a vadose  zone
    transport!and.fate model to simulate
    the oxygen transport  mechanism in
    the unsaturated zone,  including trans-
    port in air,  water,  and free hydro-
    carbon phases  with  exchange
    between each phase  and  losses due
    to degradation,
2.  Evaluate j model output as a function
    of soil oxygen tension,
3.  Evaluate [ model output as a function
    of soil temperature.
    Evaluate  the effect of soil  moisture
    and type on degradation  rates of
    organic substances, and
    Compare model simulations with field
4.
5.
    subsurface oxygen measurements.
Research Approach
  Model modification  —  The  selected
test model was modified  and evaluated
with respect, to incorporation of oxygen
transport and oxygen-limited  biodegra-
dation, and  with respect to the effect of
temperature! on degradation  rate.  The
model describes a soil column 1.0 meter
square with pepth specified by the user.
The column( consists of  a  plow  zone
(Zone of Incorporation, ZOI) and a lower
treatment zone (LTZ). The plow zone is
typically defined as the top 15 cm of soil
into which the substance is mixed during
application.  The LTZ extends below the
ZOI to the bottom of the soil column  and
may contain [substances which have been
mobilized  and transported  downward
from the ZOi.
  The soil environment within the column
is  made up, of four phases:  soil  grains;
pore water^  pore  air, and pore  oil.
Characteristics of the soil environment
may change with depth and/or time. An
organic contaminant being tracked by the
model  mayi be a pure compound  or  a
mixture of several compounds as long as
the behavior  of  the mixture can be
adequately  described by  composite
constituent  parameters. A waste can be
applied  and incorporated into the  plow
zone at loading rates and frequencies
 specified by! the user.
   These types of models simulate the
 fate of hazardous organic substances  in
 unsaturated j soil  systems. The fate  of a
 constituent  in  the soil is influenced by
 mobilization' volatilization, and decompo-
sition  processes.  The test model also
simulates oxygen transport in the vadose
zone by air, water, and free hydrocarbon
phases  with exchange  between each
phase and  losses due to degradation of
the hazardous waste constituents within
the soil column.
    Once applied to the land  and mixed
into the soil, the constituent and oxygen
may be mobilized by three mechanisms:
advection,  dispersion,  and  migration
between phases.
  Dispersion —  Mobilization of  the con-
stituent and oxygen by dispersion of the
phase  within  the  soil column  is only
included in  the vapor phase.
  Advection — The advection  mecha-
nism for the constituent  and oxygen  is
used for the  water and vapor phases
only. This version of the test model con-
strains the  oil  to the zone of application
and mixing.
  Sorption/desorption   —  This  term
represents  migration of the constituent or
oxygen between phases. This mass flux
of the constituents  or  oxygen among
phases  is  modeled as a  linear  sorption
mechanism. This term is applied between
the water phase  and  each of the other
phases for the constituent, and between
the air phase and water or oil phases for
oxygen.
  Volatilization is represented in the
model  by two processes:  mass flux into
the air  phase and advection/dispersion.
The constituent is transported with the air
phase  by  advection and/or  dispersion,
and may  leave the system through the
top or bottom boundaries of the control
volume.
   Degradation is  represented  by  bio-
chemical,  photochemical or hydrolytic
processes.  Field  and laboratory studies
have indicated that the use of first order
kinetics provides  a reasonable  approxi-
mation for the  degradation of many
hazardous  substances in soil  systems.
Others have  found that the  microbial
metabolism can be limited by  a lack of
either substrate  (carbon and energy
source), oxygen  (electron acceptor)  or
both  simultaneously.  The  degradation
expression in version  3.0  of  the VIP
model combines the first order kinetics of
the previous version with  a  modified
 Monod function. Because the constituent
 may degrade at different rates in different
 phases, separate rate and half-saturation
 coefficients are  provided for  each phase
 in the model. The apparent  degradation
 rate coefficients  also  are permitted  to
 vary with depth.
   Effect of soil oxygen  tension  — The
 effect of  oxygen  tension on constituent

-------
degradation was evaluated by conducting
a series of  model  simulations using
different values  of  the  oxygen  half-
saturation coefficient, Kq.
  Effect of soil temperature -r Tempera-
ture is an  important  climatic  factor
influencing  rates  of decomposition  in
soils. Laboratory scale experiments using
glass  beakers were conducted for 16
PAH  compounds  representative  of
hazardous chemicals of  concern to the
U.S. Environmental  Protection Agency.
Experiments  were conducted  at  three
temperatures  (10°C,  20°C,  and 30°C)
using a Kidman sandy loam soil. Details
of these experiments have been reported
by Coover. 1987.
  A form of the Arrhenius expression, V.T
 = IIT  e(T~T°>, was used in the test model
to evaluate the effect of temperature on
the  rate  of  degradation  of  several
hazardous constituents in the soil.  Here
HT  and  HT  are  the first  order  rate  .
constants  at temperatures  T and T0,
respectively, and  9  is the  temperature
correction factor.  The method  of  non-
linear least squares was used to establish
the degradation rate at 20 °C and the
temperature  correction coefficient values
 (9)  for a subset  of  the hazardous sub-
stances given  in Table 1, fluorene,
 benzo[b]fluoranthene, and chrysene. The
 parameter  estimates were then used  in
the VIP model to predict the degradation
 of  fluorene,  benzo[b]fluoranthene,  and
 chrysene in  a soil system  at 10°, 20°,
 and 30°C. The sensitivity of the output of
 the model  was evaluated with respect  to
 the effect of temperature on degradation
 rate for these three PAH compounds.
  Effect of soil moisture  — Soil  water
 serves an  important function as a trans-
 port medium through which nutrients are
 transported  and  through which  waste
 products are removed from the microbial
 cell surface. Under  saturation  or  near-
 saturation  conditions the  diffusion  of
 gases through  the  soil  is  severely
 restricted, oxygen is consumed and  the
 soil becomes-anaerobic, and major shifts
 in  microbial metabolic activity occur.
   Experiments, were conducted  to deter-
 mine  the effect  of  soil  moisture on  the
 rate of apparent degradation of a subset
 of hazardous substances. Soil  moisture
 levels of -0.33, -1.0, and -5.0 bars matric
 potential were  used. Temperature was
 maintained  at 20°C, and glass beaker
 reactors containing 200 g sandy loam soil
 were  incubated  in  the  dark to prevent
 photodegradation.  Periodically  through
 time triplicate sets of reactors containing
 each  soil  type were- removed • .from
  incubation, solvent  extracted with dichlo-
romethane,  and  analyzed  by  HPLC
analysis of the soil extracts.
  Effect of soil type — Soil texture and
clay  mineralogy  are  also  important
factors affecting soil microbial processes,
controlling  factors such as  swelling,
cation  exchange capacity, buffer  capac-
ity, and sorption of organic compounds
and  inorganic ions. Soil organic  matter
content  plays  an important role  in
sorption  as well  as  degradation, con-
trolling availability  for microbial metabo-
lism  and transformation. Soil  pH  is
important  for controlling competition
between fungi, that are effective at pH <
5, and other microorganisms whose opti-
mum pH is  between 6.5 and 8.5. The
effect of pH in soils is less clear  than in
aqueous systems,  however, because the
buffer capacity of  clay and humic mate-
rials affects the concentration  of protons
at the microsite scale.
   Two soil  types, a McLaurin sandy loam
and a Kidman sandy loam, were evalu-
ated with  regard  to  degradation and
immobilization, or partitioning, of a subset
of hazardous substances. For  biodegra-
dation rate determination, selected sub-
stances  were mixed  with the  two  soils
and incubated in glass beaker reactors at
20°C  and  constant  -0.33  bar  matric
potential in the dark. Periodically through
time triplicate sets of reactors containing
each soil type were removed from  incu-
bation, solvent extracted with dichloro-
methane, and analyzed by HPLC analysis
of the .soil  extracts.. Details  of these
experiments  have  been  reported  by
Coover (1987) and Park (1987).
-  Field verification of oxygen  dynamics
 — A  field-scale  experiment was -con-
ducted  to  evaluate the spatial and
temporal variability of oxygen in soil after
 a petroleum  waste was applied to the top
 six  inches  of soil.  Air  phase  oxygen
 sensors were installed in the soil at 6
 inches,  12 inches, and 24 inches below
 the site, and a.continuous record of air
 phase oxygen content was kept before,
 during,  and after waste  application.
 Measurements from  the test plots were
 compared with VIP model predictions.


 Results  and Discussion
   Tesf model — the  modular structure of
 the VIP   model,  programmed   in
 FORTRAN and solved numerically, also
 provides a convenient means for evalu-
 ating the  behavior of various  processes
 by isolating  the modules for  independent
 analysis. The main solution  algorithm is
 divided into functional modules: loading
 rates, degradation, oil decay, and phase
 transport and sorption.
  Effect of soil oxygen tension  — Com-
parison of the test model results with and
without oxygen limits (Figure 1a) show no
discernible difference between  the con-
stituent concentration profiles for the two
cases. Both constituent  and   oxygen
depth profiles are shown in Figure  1b.
The oxygen concentration  decreases
over these  depths  due  to  the  oxygen
demand  imposed  by  microbial degra-
dation  of the  constituent.  No microbial
activity has occurred below the constit-
uent wave  front, therefore  the  oxygen
concentration is maintained at the satu-
ration concentration.
  Breakthrough curves of the constituent
and oxygen concentration  in the  water
phase at a depth of 1.0 meter are shown
in Figure 1c.  The oxygen  concentration
decreases when the  constituent passes
this depth due to microbial degradation of
the constituent. After the  constituent slug
passes  a  particular  depth,  the oxygen
concentration  is replenished due to  the
advective transport mechanism  in the  air
and water phases. The effect of the half-
saturation  constant for the same input
data set  are shown in Figure  1d for a
range of KQ from 0.01  to 10 g/m3  in the
air, oil, and water phases.  These simu-
lations demonstrate that, as the value of
this constant  increases,  the  oxygen-
limitation of degradation increases,  as
would be expected.
   It is recognized that, under field condi-
tions, where 02 is replenished by dis-
persion/diffusion from the  atmosphere,
this rate  limitation will be less severe over
the long term, for slowly degradable sub-
strates. However, for short  term dynam-
ics, such  as  immediately  after a waste
application in land treatment of petroleum
sludges, 02 limits may be very  important
and warrant inclusion in the model.
   Effect of soil temperature — The per-
centages of each "compound remaining in
the soil  at the end of  the   240-day
incubation period are presented in Table
 1.  Also presented are the estimated half-
 lives based on a first-order  kinetic model
 for degradation and  representative half-
 life values obtained from  the literature.
   The extent and rate of apparent  loss
 was much  greater  for PAHs  of  low
 molecular  weight  and  high  aqueous
 solubility. Substantial  loss  of  three-ring
 compounds acenapthene, fluorene,  and
 phenanthrene  was observed at all tem-
 peratures during the course of  the study.
 Four-ring  compounds, including fluoran-
 thene,  pyrene, and benz[a]anthracene
 demonstrated  greatly reduced rates  of
 degradation. Loss of chrysene, a four-ring
 compound, and the  remaining  five- and

-------

Table 1. Percentages
Compound
Acenapthene
Fluorone
Phenanthrene
Anthracene
Fluoranthene
Pyrene
Bonzfajanthracent
Chrysene
Benzo[b]ftuoranthene
Benzo[k]fluoranthene
Benzofajpyrene
Dlberafahjanthracene
Benzo[g,h,i]perylene
lndeno[l,2,3-c,d]pyrene
of PAH Remaining at the End of the 240-Day Study Period and Estimatec
Percent of PAH Remaining , Estimated Half-Life (day)*
10°C 20°C 30°C 10°C
500, ,39l>,2-39°
69b,23l>,26°,9.7<',14<>
28b,17>>,108-175°,17,29>>,44-1S2<:,39d,34.27b,3-35°,58<',48<'
52>>,123b, 102-252°, 240*. 130*
7O»,42t>,5.5-10.5°,328,74t>
91",69l>,30-420,42t>, 100-1 90*
179b,70b
S7>>,42*>,200-600*
      >>Sims [1986], r=20°C
      cSims and Overcash [1983], T=15-25°C
      "PACE [1985], T=20"C
      'Sims [1982], r-20"C                                J
      'Least squares slope (for calculation of t1tz) = zero with 95% \confidence
six-ring compounds  was minimal  at all
three temperatures.
  A series of simulations using fluorene,
benzo[b]fluoranthene, and chrysene was
run  to evaluate  the effects of soil
temperature on the model prediction. The
0 values  (± 95% confidence  intervals)
were 1.04 ± 0.0075,  1.024  ± 0.012, and
1.003  t  0.016,  for  these  compounds,
respectively. For this series  of runs, a
high recharge rate 3.95  (cm3/day/cm3)
was used, the  mass  transfer rate
coefficients for  the  constituents and
oxygen were 1000 day1, assuming the
constituents and oxygen  reached  equi-
librium very rapidly.
  A summary of degradation data of the
three  compounds after a one  year
simulation in the Kidman sandy  loam is
presented in Table 2. The extent and rate
of apparent  loss due to the  biochemical
degradation  for, the higher  temperature
are greater  than  those for the lower
temperature  for  each  of   the  three
compounds studied. However, the effect
of temperature on the apparent toss from
decay  are quite  different for each com-
pound. At 30°C'the apparent degradation
loss ranged from 20 percent for chrysene
to 100  percent for fluorene. Figure 2
demonstrates the depth  profiles of chry-
sene, benzo[b]fluoranthene, and fluorene
in the water phase after one year in the
Kidman sandy loam. Compared  to  the
profiles for benzo[b]fluoranthene  (Figure
2b) and fluorene (Figure 2c), the profile
for chrysene  shows little apparent effect
of temperature.  The plot for fluorene
(Figure 2c) shows the largest apparent
effect of temperature on the model output
profiles. The effect of temperature on the
degradation rate depends on the value of
9. Higher values of e (1.040 for fluorene),
show more sensitivity to temperature in
the model prediction  than that for  9
values close to 1.0 (1.003 for chrysene).
  Effect of soil moisture — Results for
the effects of soil moisture  at 20°C on

-------
                               la
                                                                        Ib
        540


    ^  «0f     A—,
        360-
     o
     5  270-
        180-
     8   904
             WITHOUT O-UM1TS
                •—•

              WITH 02-LIMITS
500


400 ••


300
                                               §  200
                                               o

                                               ?  100-•
          o.a
0.5           1.0

    DEPTH (m)
                                                  t.5
                                                                            0.0
   E
10 ,2
                                                                                         0.5
                                                                                                       1.0
                                                                                                                    1.5
                                                                                             DEPTH (m)
                               1C
                                                                       Id
uw
"E
x.
«s
•i 400
w
§

8 200
t
\
0<


S \
* \

1
|


I
•u •





. . . A._. ..
0 30 60





l-rt..^^ m 	 t
1 O
to~*
12 ^
a^
z
UJ
8 ^
X
o
•4
4 i
1
•4
n
9O 120
                                                                        o
                                                                        I
800

600

400
200
0
0
• — • Ko
»— *— » A . ..,
A 	 A Ko









'-T-T
f'*3&-i
1 	
a — a KO
V 	 T Ko
« 	 * Ko


i • - ^ 	 « 	 a__j™_
0 0.4 0.8
= 0.0
= 0.01
= 0.1
= 1
= 10


Apt •• A
CJ ~ 	 *
1.
                         TIME (DAYS)
                                                                        DEPTH (m)
 Figure 1.  Effect of oxygen tension on VIP model simulation.
rat>/e 2.   Degradation  Summary from
           Oufpuf R/es

                      Temp.       %
      Compound         °C     Decayed
Chrysene


Benzo[b]fluoranthene


Fluorene


10
20
30
10
20
30
10
20
30
18.6
19.2
19.7
37.9
45.5
53.4
98.3
99.8
100.0
the rate of degradation of a subset of
PAH compounds, expressed in  terms of
the  half-life  values  and their  95%
confidence intervals (Cl), are presented in
Table 3. Half-life values were calculated
based  on  a first-order model  for PAH
disappearance.
                      Degradation rates were significantly
                   different at different soil  moisture  levels
                   for the three-ring  anthracene  and  the
                   four-ring  fluoranthene.  No  significant
                   effect of soil moisture was evident for the
                   naphthalene  (two-ring),  phenanthrene
                   (three-ring),  and  pyrene  (four-ring).
                   Because  of the  lack  of a  rational
                   quantitative relationship between soil
                   moisture content and rate of degradation,
                   it was not possible to evaluate the mathe-
                   matical model VIP  with regard to model
                   output as a function of soil moisture.
                      Effect of. soil type — Results for volatil-
                   ization-corrected  degradation  rates as  a
                   function of soil  type are presented  in
                   Table 4 for a subset of PAH compounds
                   and pesticides incubated  individually at
                   -0.33 bar soil moisture and 20°C. Half-life
                   values were calculated  based on a first-
                   order kinetic model for degradation; 95%
                   confidence intervals (Cl) are also given.
                      There was no statistically  significant
                   difference  in  degradation rate  as  a
            function of soil type for the majority of
            PAH compounds investigated.  A  statis-
            tically significant difference was observed
            for anthracene  and phenanthrene;  how-
            ever, the difference was not consistent for
            one soil type.
              Eight pesticides were also  evaluated
            (Table 4).  There were'statistically  signif-
            icant differences for degradation rates as
            a  function of soil  type  for  only two,
            aldicarb and  pentachloronitrobenzene;
            however  the  differences  were  not
            consistent  across the  two soil  types
            investigated. Because of  the  lack  of a
            rational quantitative  relationship between
            soil type and rate of degradation, it Was
            not possible  to  evaluate  the VIP model
            with regard to model output as a function
            of soil type.
              Field verification of oxygen  dynamics
            —  The  test model was run for the  5-day
            period of the data record. Air  phase  02
            concentrations predicted by the model at
            the 6-inch,  12-inch, and 24-inch depths

-------
                              2a
                                                                     2b
      0.600
      o.4oo
      0,200
      0.000
          Chrysene

          	  10°C
          	  20°C

          	  30°C
          0.0
0.5           1.0

    DEPTH (m)
                                                  1.5
                                                                       I
                                                                      K)
                                                                      o
                                                                         0.600
                                                                         0.400-
                                                                         0.200--
                                                  0.000-1
                                                      O.O
          Benzo[b]fluoranthene

              — 10°C

              	 20°C

              	 30°C
      0.5            1.0
          DEPTH (m)
                                                                                                                     -1.5
                                                             2c
                                        0.030
                                     £  0.020
                                     1
                                     UJ
                                     o
                                        0.010-
                                        0.000-I
                                            0.0
                                          fluorene

                                          	 10°C
                                          	 20°C
                                          	 30°C
                                                    ^L
                                                         0.5           1.0

                                                             DEPTH (m)
                                                                                   1.5
 figure 2.   Simulated concentration profiles for chrysene, benzofblfluoranthene, and tiuorene, at W, 29", and 30°C.
were  plotted alongside  the field data.
Results are given in Figure 3 for 6-inch,
12-inch, and 24-inch depths. The  solid
lines  on the plots  represent  the model
simulation and the dashed lines represent
the field data.
  The results for the 6-inch depth (Rgure
3a) showed quite  good  agreement be-
tween the model prediction and  the field
data  during the first  80  hours of the
simulation. The model was able to  track
the descending leg of the data record but
was unable to simulate  the recovery  of
the O2 content at this level after 80 hours.
For the 12-inch depth (Figure  3b), the
model was able to predict the  general
behavior of the data for 60 hours but was
unable to predict the recovery after this
time.  At a depth of 24 inches (Figure 3c),
the model was able to predict the  initial
drop  in the 02 level, but continued  to
descend while the field data leveled off.
However,  at 60 hours, when the  O2 had
decreased to  about 25 g/m3, the model
and data  agreed.  The model failed  to
predict the recovery after about 80 hours.
                     The  inability  of  the test  model  to
                   predict the recovery of the O2 levels after
                   about 80  houh  may be  related to the
                   boundary conditions at the bottom of the
                   treatment  zon6.  For the simulations pre-
                   sented, the treatment zone was assumed
                   to extend to the  24-inch level.  Below that
                   level, the  soil'was assumed to be satu-
                   rated with  water,  and therefore  no oxygen
                   could be transported from  below. A more
                   realistic condition for this  physical sys-
                   tem, in which: the groundwater was well
                   below the 24-inch level,  is a  boundary
                   that  permits free transport of vapor. This
                   would provide an  oxygen source  from
                   below and would make the 02  drop more
                   slowly at this [level, and therefore would
                   provide an oxygen source for recovery.

                   Summary and Conclusions
                     The VIP model for  simulating the fate
                   and  transport |of organic contaminants in
                   the  vadose Izone was  enhanced  to
                   include  dynamics  of oxygen  transport
                   and  oxygen-limited  degradation. The
                   model  was  verified against an analytical
solution for a linear, two-phase case, and
used to evaluate the sensitivity of vadose
zone processes to  temperature, subsur-
face oxygen tension,  soil type  and
moisture content.  Specific  conclusions
based  on the objectives  of this research
are:
1.   Under field  conditions with petroleum
    waste  addition,  the model  success-
    fully predicted the depth location of
    the decrease in  the oxygen  con-
    centration in the air phase, and semi-
    quantitatively predicted  the oxygen
    concentration.  The  model  did not
    predict the  recovery of  oxygen  with
    depth.
2.   The effect  of  oxygen concentration
    on chemical degradation predicted by
    the test model was found to depend
    upon the magnitude of  the oxygen
    half-saturation constant  and the soil
    oxygen concentrations.  Low  oxygen
    concentrations in  the soil would be
    expected to occur shortly after waste
    addition  to  soil and during  active
    microbial metabolism of waste.

-------
Table 3.    The Effect of Soil Moisture on Degradation Rate of PAH Compounds in Sandy Loam

                      20-40% F.C.'             40-60% F.C.              60-80% F.C.
Compound
Naphthalene
Anthracene
Phenanthrene
Fluoranthene
Pyrene
tl/2
(days)
30
72
79
530
-
95% Cl
15-93 a +
50-128 a
53-154 a
462-578 a
-
(days)
28
46
-
200
7500
95% Cl
14-93 3
27-173 a
•
765-267 b*
877- oo a
fr/2
(days)
33
18
58
230
5300
95% Cl
18-23 a
7-46 b
72-147 a
193-289 b
2500- °o a
 "F.C.  = field capacity of the soil.                ,                         ,
 * The  same  letter (a or b) for a compound  at two  moisture contents indicates  no statistical
  difference at the 95% level based on the t-test.
Table  4.
Degradation Rates Corrected for Volatilization for PAH Compounds and
Pesticides Applied to Two Soils
                              Kidman Sandy Loam
                                           McLaurin Sandy Loam
Compound
PAHs:
Naphthalene
1 -Methyl-naphthalene
Anthracene
Phenanthrene
Fluoranthene
Pyrene
Chrysene
Benzfajanthracene
7, 12-Dimethyl-
benz[a]anthracene
Benzo[b]fluoranthene
Benzo[a]pyrene
Dibenz[a,h]anthracene
Dibenzo[a,i]pyrene
Pesticides:
Phorate
Aldicarb
Pentachloronitrobenzene
LJndane
Heptachlor
Famphur
Dinoseb
Pronamide
?1/2
(days)

2.1
1.7
134
16
377
260
371
261

20
294
309
361
371

32
385
17
: 61
58
53
103
96
95% Cl

1.7-2.7 a +
1.4-2.1 a
106-182 a
13-18 a
277-587 a
193-408 a
289-533 a
210-347 a

18-24 a
231-385 a
239-462 a
267-533 a
277-533 a

29-85 a
257-845 a
15-21 a
35-257 a
50-70 a
46-69 a
37-128 a
81-122 a
tin
(days)

2.2
2.2
50
35
268
199
387
162

28
211
229
420
232

24
30
51
65
63
69
92
94
95% Cl

1.7-3.4 a
1.6-3.2 a
42-61 b*
27-53 b
173-6303
131-4083
•257-866 a
131-217a

21-41 a
169-2773
178-31 5 a
267-990 a
178-330 a

19-35 a
27-35 b
38-74 b
39-204 a
58-76 a
58-98 a.
74-124 a
69-151 a
  + The same letter (a or b) for a compound at two soil types indicates no statistical
    difference at the 95% level based on a t-test


-------
                              3a
                 ftf Phase O2 Simulalion — Depth - 6"
                                                                                   Air Phase Oj Simulation,	Depth - 12"
                      40  50  M  70 H  to  100 110 130 130

                         Time (hours)
                                                                                            	 VIP Simulation

                                                                                            	 Fi«ld Dolo
                                    0  1O20304090M70AOMIOO  110 ISO 130

                                                  Time (hours)
                                                            3c
                                                 Air PHose <>2 Simulation	Depth — 24"
                                      I
                                      u
                                      ff
                                               10  » » to  50  <0  70 M M  100  110 1» 130
                                                          Time (hours)
 Figure 3.   Field oxygen data from Nanticoke Refinery high load plot and VIP model predictions.
 3.  Model output results for temperature
    dependent  reactions  indicated that
    depth-concentration  profiles were
    sensitive to and were directly related
    to  the  temperature correction coef-
    ficient (0) for each chemical used in
    the model.  Model outputs  were very
    sensitive to soil temperature when
    values  for 0  were 1.04 or  greater;
    however, for  chemicals with values
    for 0»1.02 or less, there was little
    sensitivity in  the  model output with
    respect to temperature.
4.  Results  of  laboratory experiments
    demonstrated that the sensitivity  of
    degradation  rate to  changes  in
    temperature, soil  moisture, and soil
    type  was generally greater  for low
    molecular  weight  compounds  and
    less for  high molecular weight com-
    pounds.
References
Copver, M. P. 1987.Studies of the per-
 sistence of  polycyclic aromatic  hydro-
 carbons in two  acclimated agricultural
  soils. Thesis, j Utah State University,
  Logan, UT.
 Grenney. W. J., [c. L. Caupp, R. C. Sims
  and  T. E. Short. 1987. A mathematical
  model for  the,fate of hazardous sub-
  stances in  soil: Model description and
  experimental; results.  Hazardous
  Wastes  and  iHazardous  Materials.
  4(3):223-239.  I
 PACE  (Petroleum  Association  for  Con-
  servation of the Canadian Environment).
  1985. "The persistence of  polynuclear
  aromatic hydrocarbons in soil." Ottawa,
  Ontario. Report No. 85-2,1985.1.
 Park, K. S. 1987j Degradation and trans-
  formation of polycyclic aromatic hydro-
  carbons in  soil;systems. PhD Disserta-
  tion.  Department  of Civil and Environ-
  mental Engineering, Utah State Univer-
  sity, Logan, UT:
Sims, R. C. andlM. R. Overcash.  1983.
  Fate  of  Polynuclear Aromatic  Com-
  pounds  (PNAs) in  Soil-Plant  Systems.
  Residue Reviews. 88:1 -68.
Sims, R. C. 1982. Land treatment of poly-
  nuclear aromatic  compounds.  PhD dis-
  sertation. North; Carolina  State Univer-
  sity, Raleigh, NC.
 Sims,  R.  C., Loading rates and frequen-
  cies  for land treatment  systems.  1986.
  In: R.C. Loehr and J.F. Malina (Eds.).
  Land  treatment: A waste management
  alternative.  Water Resources Sympo-
  sium  No.  13.   Center for Research in
  Water Resources.  University of Texas
  at Austin, Austin, TX.  pp. 151-170.
 Stevens,  D.  K., W.  J.  Grenney  and  Z.
  Van.  1988. User's Manual: Vadose zone
  interactive processes model. Depart-
  ment  of Civil  and Environmental  Engi-
  neering. Utah  State University, Logan
  UT 84322-4110.
 USEPA. 1988.   Interactive  simulation  of
  the fate  of hazardous  chemicals during
  land  treatment of  oily  wastes:  RITZ
  user's guide. EPA/600/8-89-001. Robert
  S. Kerr Environmental Research Labo-
  ratory, Ada, OK.
Van, Z. 1988. Evaluation  of the vadose
 zone  interactive processes (VIP) model
 using nonequilibrium adsorption kinetics
 and modification  of VIP  model. Thesis.
 Department of  Civil and  Environmental
 Engineering.  Utah State University,
 Logan, UT.

-------
David K. Stevens, William J. Grenney, Zhao Van, and Ronald C. Sims are with Utah
  State University, Logan, Utah 84322-4110.
John E. Matthews is the EPA Project Officer (see below).
The complete report, entitled "Sensitive Parameter Evaluation for a Vadose Zone
  Fate and Transport Model," (Order No. PB 89-213 987/AS;  Cost: $15.95, subject
  to change) will be available only from:
       National Technical Information Service
       5285 Port Royal Road
       Springfield, VA 22161
       Telephone: 703-487-4650
The EPA Project Officer can be contacted at
       Robert S. Kerr Environmental Research Laboratory
       U.S. Environmental Protection Agency
       Ada. OK 74820


-------

-------

-------
                                                            m
                                                            TO

                                                            I
                                                            o
                                                            o
                                                        3 3
                                                        Q) O
                                                                 ~* (O
                                                                    '
                                                                 •
                                                                 CD

                                                                 (A
£S-=  ffg-2
       ^* iH rt
ar o
O —" r+
•** w o

Mi
   -
  _ o
  = i5
  SS
       3.33
» 3
S-8
         S5-
         ** 0}
0. O
S =
s i
3 01
3-g-
                                                                     li
                                                                       3 $5
                                                                       (D 0)
                                                                       T3

                                                                       1
                                                                       §
                                                                       o
                                                                              T' 3 (D
                                                                              1.1 ill
                                                                     oo
                                                                                  1
                                                                                  3
                                                                            Tl
                                                                            O
                                                                       -n   O)
                                                                       ™   ^
                                                                       33   > CB
                                                                       S1   O C
                                                                       ^~ rnr-
                                                                       8  a'
                                                                       CJ1  ^
                                                                           D

-------