United States
               Environmental Protection
               Agency
Environmental Research
Laboratory
Athens GA 30605-2720
               Research and Development
EPA/600/SR-92/233   January 1993
EPA       Project  Summary

               Evaluation  of  Source Term  Initial
               Conditions  for  Modeling
               Leachate Migration  from  Landfills

               Lee A. Mulkey, Anthony S. Donigian, Jr., Terry L. Allison, and C.S. Raju
                 Leachate migration modeling is a
               necessary part of conducting exposure
               assessments in  the development of
               land  disposal regulations for  solid
               wastes. Development of toxicity char-
               acteristics to define leachate concen-
               tration levels that pose unacceptable
               risks to humans  and the environment
               requires  modeling studies for a wide
               range of leachate generation-migration
               scenarios. This study investigated the
               influence of five  alternative modeling
               initial conditions on down-gradient
               ground water concentrations predicted
               by two  models  (MULTIMED and
               AT123D) and for four typical hazardous
               waste constituents. Differences be-
               tween steady-state  and transient con-
               ditions also were investigated.
                 The alternate initial conditions stud-
               ied were shown to be representative of
               typical leachate patterns reported from
               laboratory and field studies. The square
               wave pulse initial condition was found
               to be the most conservative represen-
               tation of leachate generation for both
               models. Sorptive and degradation prop-
               erties of chemicals strongly influence
               predictions and,  for some chemicals,
               steady-state  modeling and transient
               modeling of  the  same scenario pro-
               duced significantly different results.
                 This Project Summary was developed
               by EPA's  Environmental  Research
               Laboratory, Athens, GA,  to announce
               key findings  of  the research project
               that Is fully documented In a separate
               report (see Project Report ordering In-
               formation at back).
Overview
   The study described in this report is
part of an ongoing investigation of the
behavior of land disposal systems for solid
and hazardous wastes. Major program ob-
jectives are  development, testing, and
implementation of predictive tools for use
in  land disposal regulations that protect
human health and the environment. The
U.S. Environmental Protection Agency's
Office of Solid Waste and Emergency Re-
sponse is a  major collaborator with the
Office  of Research and Development in
the overall research program and has par-
ticipated in the development and execu-
tion of this study. The modeling scenario
and the modeling details under investiga-
tion are part of the Office of Solid Waste's
current approach to modeling leachate mi-
gration from land disposal units. In particu-
lar, the development  of solid waste
characteristics that render such wastes haz-
ardous under expected future management
conditions has evolved to include the use
of  models and their boundary conditions
as described  in this report.
   The work summarized  in this  report
advances knowledge of how modeling as-
sumptions influence predicted exposures,
how boundary conditions compare to labo-
ratory and field observations, how different
dominant chemical properties influence pre-
dicted exposures, and how currently avail-
able models can be used to refine exposure
estimates.
   The appropriate selection and use of
mathematical models in conducting expo-
sure estimates within a regulatory frame-
work depends on many  different factors.
Paramount among them are the system
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being modeled and the data available to
describe its features. In cases where site-
specific decisions are under study—for ex-
ample, the siting, design, or permitting of a
disposal facility—site characterization data
are particularly important.
   Once a site has been completely char-
acterized and the study objectives clearly
defined, then  choices among  individual
models to use, boundary conditions to  ap-
ply, and validation studies to complete can
be made. Often the model calibration pro-
cess is used to refine the approach and
test the model to insure that the specific
circumstances understudy are represented
in the most  nearly accurate manner.  For
example, measured site data can be used
to define the most appropriate model, in-
cluding  the  model  boundary conditions,
and the best choice of parameter values.
   Boundary conditions  and parameter
values become much  more problematic,
however, when scenarios or hypothetical
case studies are modeled as a means of
developing more generic regulations and
standards or when only screening level
analyses are desired. The most appropri-
ate set of assumptions is not always  ap-
parent, and  often the  major  issue is  not
only how representative but also how "safe"
the assumptions are given the wide variety
of possible circumstances.
   The main emphasis of the report is an
analysis of two major assumptions used in
the OSW modeling. The first assumption is
that the contaminant source has a suffi-
ciently large mass to enable an  assump-
tion of an infinite source. That is, the down
gradient contamination, once reached,  will
be maintained. The second assumption is
that transient behavior is unimportant, per-
mitting the overall  response to be repre-
sented by steady-state estimates.
   These two assumptions are convenient
as an interface between the modeling and
the physical tests proposed as a means to
measure the teachability of a given waste.
The assumptions also dominate the choice
of modeling boundary conditions, espe-
cially the initial  conditions. The form or
shape of the  initial  conditions is deter-
mined by the  steady-state assumptions;
magnitudes are  determined by  reference
to the leaching test values.
   In the study,  literature searches were
performed to  identify alternate leachate
models, leachate characteristics, and model
initial  conditions. Based on  available
leachate data, the range  of initial condi-
tions  that are most  consistent with ob-
served  data was  determined.  Modeling
simulations were conducted with different
models and initial conditions to character-
ize  groundwater contaminant sensitivities
for  a range of  scenarios and chemical
properties.

Findings
   Four key findings were apparent with
respect to leachate quantity and  quality.
First, leachates vary widely in quantity and
quality among different sites and  change
with time at a given site. Second, leachate
quantity responds to precipitation infiltra-
tion  and the subsequent  water balance.
Several models exist with which to predict
quantities, and many are  variants on the
USEPA HELP  model. Third, time histories
of leachates rarely are measured, but ex-
isting data suggest a  range of patterns
from relatively constant concentrations to
declining concentrations with time. Fourth,
for regulatory modeling purposes, leachate
time patterns  can be  represented  by a
limited number of simple curves including
square wave pulses,  exponentially decay-
ing  pulses, and a series of pulses  emulat-
ing  highly variable concentrations.
   For some chemicals, steady-state and
transient modeling of leachate migration
give remarkably different results. In such
cases, steady-state modeling is inappro-
priate. Sorption and  transformation  rates
are most important in this regard.
   Transient modeling results  are  influ-
enced strongly by the duration of inputs
corresponding to available source mass
within the facility. Departure from steady-
state  results for any given duration de-
pends on chemical properties.
   The square wave pulse load pattern
consistently produced the highest concen-
trations for all chemicals and all locations.
Differences in concentrations among the
five pulse types were insignificant for some
combinations of chemicals and locations
forthe scenario investigated.
   For highly sorptive chemicals, time vari-
ability of the leachate  inputs  is relatively
unimportant  when predicting maximum
down gradient concentrations. This applies
as long as the total mass and duration of
leaching is the same.
   For less sorptive,  more  mobile chemi-
cals, the duration of the leaching period is
more important in influencing down gradi-
ent concentrations than the leachate vari-
ability during the period. This is true under
conditions where the total mass loading is
the same.
   Transient modeling should be imple-
mented in regulatory modeling analyses of
leachate migration from landfills.
   Forthe OSW modeling scenario, square
wave pulse inputs are the most conserva-
tive option in selection of modeling initial
conditions to represent leachate genera-
tion.
   Additional field studies to characterize
detailed patterns of solid waste leachates
are needed to better define modeling as-
sumptions.
                                                                                       •U.S. Government Printing Office: 1993 — 750-071/60189

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 LOB A. Mulkey (also the EPA Project Officer, see below) is with the Environmental
   Research Laboratory, Athens, GA; Anthony S. Donigian, Jr., and C.S. Raju are
   with AQUA TERRA Consultants, Mountain View, CA; Terry L Allison is with
   Computer Sciences Corporation, Athens, GA.
 The complete report,  entitled "Evaluation of Source Term Initial Conditions for
   Modeling Leachate Migration from Landfills, "(Order No. PB93-131464/AS; Cost:
   $19.50; subject to change) will be available only from:
         National Technical Information Service
         5285 Port Royal Road
         Springfield, VA 22161
         Telaphone: 703-487-4650
 The EPA Project Officer can be contacted at:
         Environmental Research Laboratory
         U.S. Environmental Protection Agency
         Athens GA 30605-2720
United States
Environmental Protection Agency
Center for Environmental Research Information
Cincinnati, OH 45268

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