United States
Environmental Protection
Agency
Environmental Monitoring Systems
Laboratory
Las Vegas NV 89114
Research and Development
EPA-600/S4-83-030 Aug. 1983
Project  Summary
Guidelines  for  Field  Testing
Aquatic  Fate  and  Transport
Models:   Final  Report
Stephen C. Hern, George T. Flatman, Wesley L Kinney, Frank P. Beck, Jr.,
James E. Pollard, and Alan B. Crockett
  These guidelines have been written
for the Office of Pesticides and Toxic
Substances (OPTS) U.S. EPA as an aid
in field validation  of aquatic fate and
transport models. Included are discus-
sions of the major steps in validating
models and sections on the individual
fate and transport processes: biotrans-
formation, oxidation, hydrolysis, pho-
tolysis, ionization, sorption, biocon-
centration, volatilization, and physical
transport. For each process, the  fol-
lowing information is provided: a gen-
eral description of the process, a list
and discussion of environmental fac-
tors affecting the process, a list of the
priority pollutants for which the process
is important, a list of model-specific
environmental inputs, and field methods
for collecting these input data.
  This Project Summary was developed
by EPA's Environmental Monitoring
Systems Laboratory. Las Vegas. NV, to
announce key findings of the research
project that is fully documented in a
separate report of the same title (see
Project Report ordering information at
back).

Introduction
  Aquatic fate and transport models have
been developed which predict the fate and
concentration of chemicals released into
natural waters. These  models may be
based upon either an empirical approach
or a theoretical approach that considers
transport and  fate processes.  Empirical
models, which are  based on  extensive
field observation, are usually calibrated to
specific existing sites and chemicals and
provide no rational basis for making pre-
dictions outside their range of prior  ob-
servation. Thus, models of this type are
generally not suited to predicting the fate
of new chemicals and are not considered
in these guidelines.
  The theoretical approach is based upon
an understanding  of environmental fate
and transport processes,  including bio-
transformation, hydrolysis, oxidation, pho-
tolysis, ionization, sorption, volatilization,
bioconcentration and physical transport
This type of model is considerably more
versatile, since it is designed to predict
environmental fate and pollutant concen-
trations based upon degradation rate con-
stants and relatively simple chemical and
environmental input data. Therefore, the-
oretical models can be applied to chem-
icals which have not yet been introduced
into the environment Such models are of
considerable interest to the U.S. EPA and,
in particular, the OPTS.

Guidelines
  The guidance provided consists  of a
beginning section which addresses the
steps in validation. Subsequent sections
cover the environmental fate processes
and field methods for collecting environ-
mental input and output data. The major
steps in the field validation process are
outlined in Table 1.
  Validation of a model is defined in this
report as a comparison of model results
with numerical data derived from obser-
vations of the environment.  Complete
model validation requires testing over the
full range of conditions for which pre-
dictions are intended. At a minimum, this
requires a series of validations in various
aquatic environments  (streams, lakes,
estuaries) with chemicals that typify the
major  fate  and  transport  process.  Vali-

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Table 1.    Steps in Field Validation of Aquatic Fate and Transport Models
Step 1.  Identify Model User's Needs: The first step in field validation is to obtain a clear
        understanding of the model user's needs and how the model would be used.
Step 2.  Develop Acceptance Criteria for validations: The potential model user should provide
        criteria against which the model is to be judged.
Step 3.  Examine the Model: This step involves a detailed examination of the model to precisely
        define input data requirements, output predictions and model assumptions.
Step 4.  Evaluate  the  Feasibility of Field Validation: It may not be feasible to attempt field
        validation for some models, and the validator should consider this possibility.
Step 5.  Determine Validation Scenario: There are many different approaches to field validation
        and a scenario should be identified or approved by the potential model user.
Step 6.  Plan and Conduct field validations by performing the following steps:
        Step 6a.   Select a Site and Compound(s): There are many factors to consider in selecting
                 a site and compound(s).
        Step 6b.  Collect Preliminary Data and conduct Sensitivity Analyses: Preliminary data
                 are required to conduct a sensitivity analysis and determine the most important
                 input variables.
        Step 6c.   Develop a Field Study Design: Development of a detailed field sampling plant for
                 the specific model compound and site.
        Step 6d.   Conduct Field Study: Implementation of the field plan not addressed in these
                 guidelines.
        Step 6e.  Analyze Samples: The document does  not provide specific guidance on
                 analytical methods and quality  assurance procedures  but  references are
                 provided.
        Step 6f.  Compare Model Performance  with Acceptance  Criteria:  Graphical and
                 statistical comparison.
                                                                                        input parameters. The report also briefly
                                                                                        covers the collection of input loading data,
                                                                                        field sampling  for predicted  model  out-
                                                                                        puts, and quality assurance.  Experience
                                                                                        gained during field validation of the EXAMS
                                                                                        model was used to modify and improve
                                                                                        this document  The guidance provided by
                                                                                        this document was constructed for simpli-
                                                                                        fied aquatic fate and transport models, e.g.
                                                                                        EXAMS.   However,  the  steps in  field
                                                                                        validation and many of the environmental
                                                                                        measurement techniques would apply to
                                                                                        all aquatic fate  and transport  models.
dated models are useful in the regulatory
process because they withstand scientific
scrutiny and are  defensible in courts of
law.
   Much of the information  presented in
the first section relates to the identification
of potential problems associated with field
verification of models.  Where possible,
solutions or approaches have been sug-
gested, but many problems are specific to
a site, compound, or model and have to be
dealt with individually. An example of the
type of information important  in Site and
Compound Selection Criteria,  is depicted
in Table 2.
                                              Subsequent sections of this report deal
                                            individually with environmental fate and
                                            transport processes. For each process, the
                                            following information  is given: a general
                                            description of the process, a list and dis-
                                            cussion of environmental factors affecting
                                            the process, a list of the priority organic
                                            pollutants for which the process is important
                                            a list of model-specific environmental in-
                                            puts and, finally, field methods for collecting
                                            the model input data Environmental inputs
                                            to several models are listed in Table 3. In
                                            addition.  Table  3  includes  parameters
                                            which can be important to a specific pro-
                                            cess but are not currently required model
Table 2.     Compound and Site Selection Criteria
Compound Factors

Analytical methods

Compound inputs

Environmental Fate

Compound Toxicity
Source
Site Factors

Traceable
                   - Methods must exist for quantifying the input loadings to the model and the concentration of the compound in environmental
                     media.
                   - The availability of compound specific inputs such as aqueous solubility, degradation rate constants is a factor in selecting
                     compounds.
                   - The predicted half-life of the compound by each fate and transport process must be considered relative to the time which the
                     compound can be followed. Ideally, the compound should be tracked through several half-lives.
                   - The least toxic compound representative of a given process should be selected.
                   - Select compounds that exist in concentrations that can be tracked in aquatic systems. Although many compounds have been
                     detected in effluents, relatively few, have been found in easily detectable levels in receiving waters.
                   - The compound of interest must be present in sufficiently high levels to be traced for considerable time or distance. Factors
                     influencing traceability include input load, water body size, flow rate, half-life, mixing and dilution.
Ability to collect     - The collection of most site specific model input data presents no unusual problems. However, particular consideration should
  data               be given to mixing, flow sediment transport ground water movement weather, season, size of the water body and access.
Historical site       - If historical data are available, they can be used to conduct preliminary sensitivity analyses. Depending upon the amount and
  data               type of data, it may not be necessary to conduct a preliminary sampling study.
Input loadings       - The pollutant load to the system must be known. The accuracy of these data will depend upon the types and number of
                     sources, their relative loading, and their variability.
Analytical problems  - Chemicals found in the water body to be studied may interfere with analyzing for the compound of interest. Samples or
                     environmental media should be  analyzed prior to any major field effort

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Table 2.
(Continued)
Model assumptions

Type
Simplicity
        - Conditions at the site should not violate model assumptions. Proper site and compound selection offers an opportunity to
          design around some model assumptions.
        - Compounds with short or long half-lives can easily be studied in small, well-mixed pounds. Rivers or streams are best suited to
          test the degradation or transport of short lived compounds. Long lived compounds should only be used to test physical
          transport and bioconcentration processes. It is usually impossible to track long lived compounds through several half-lives in
          rivers or streams.
        - Generally, the simpler the site in terms of the amount of data that must be obtained, the more cost effective the validation
          effort. Multiple sources may significantly increase expense of collecting data, increase input data and complicate data
          interpretation.
Table 3.     Environmental Inputs by Process, to Aquatic Fate and Transport Models
Biotransformation
  Temperature (C)
  Total Bacteria Pop. (Cells/ml) or (Cells/100 g dry sed.)
  Active Degrading Pop. (% of Total)
  Nutrients C/N. P (mg/lj
  Acclimation State
  PH (pH Units)
  Dissolved Oxygen (mg/l)

Hydrolysis
  POH (pH Units)
  PH fpH Units)
  Temperature (C)
  Oxidation
  Temperature (C)
  Oxidant Concentration (moles/1)
  Reaeration (cm/hr)
  Suspended Paniculate (mg/l)
  Dissolved Oxygen (mg/l)
  Dissolved Organic Carbon (mg/l)

Photolysis
  Depth (m)
  Chlorophyll (mg/l)
  Latitude (degrees)
  Cloudiness (tenths)
  Dissolved Organic Carbon (mg/l)
  Suspended Sediment (mg/l)
  Spectral light intensity at surface
  Altitude (m)
  Temperature (C)
  Time of Day (24 hr time)

lonization
  POH (pH Units)
  PH (pH Units)
  Temperature (C)
  Total Dissolved Solids (mg/l) Ionic Strength

Volatilization
  Temperature (C)
  Compartment Dimensions, area and volume
  Mixing Reaeration Rate (cm/hr)
  Wind (m/s)
  Slope (m/m)
  Water Velocity (m/s)

Sediment Sorption
  Organic Carbon Content (% of dry sediment)
  Percent Water of Benthic Sediment
        (100 FreshWt.)

        (   Dry Wt.  )
  Bulk Density Benthic Sed. (g/cc)
  Suspended Sediment (mg/l)
  Compartment Dimensions ft Areas
                                                      Cation Exch. Cap. (meg/100 g dry sediment)
                                                      Anion Exch. Cap. (meg/100 g dry sediment)
                                                      Particle Size (mm)
                                                      PH of Sediment (pH Units)

                                                    Bioconcentration
                                                      Total Biomass (mg/l or g/m2)
                                                      Planktonic Biomass (fraction of total)
                                                      Fish  (g/m3)
                                                      Water Bugs (g/m3)
                                                      Zooplankton (g/m3)
                                                      Phytoplankton (g/m3)
                                                      Paniculate Organic Matter (g/m3)
                                                      Floating Particulates Organic Matter (g/m3)
                                                      Floating Macrophytes (g/m3)
                                                      Dissolved Organic Matter (g/m3)
                                                      Zoobenthos (g/m3)
                                                      Chlorophyll a (mg/l)
                                                      Fish  by species (g/m3)
                                                      Fish  by Age or Size Class (g/m3)
                                                      Periphyton (g/m3)
                                                      Zoobenthos by Functional Group (g/m3)
                                                      Temperature (C)
                                                      Dissolved Oxygen (mg/l)
                                                      Macrophytes, Rooted (g/m3)

                                                    Physical Transport
                                                      Evaporation-(mm/month)
                                                      Interflow (m3/hr)
                                                      NFS Sediment Load (kg/hr)
                                                      NFS Water Load (m3/hr)
                                                      Percent Water of Bottom Sed.
                                                      (100 x fresh/dry Wt. sed.)
                                                      Rainfall (mm/month)
                                                      Suspended Sediment (mg/l)
                                                      Bulk Density Bottom Sed. (g/cc) Stream Inflow (m3/hr)
                                                      Stream Borne Sediment Inflow (kg/hr)
                                                      Compartment Volume (m3)
                                                      Eddy Diffusivity (m2/hr) Cross Section Area for Dispersive
                                                      Exchange (m2)
                                                      Surface Area (m2) Dist Between Compt Centers (m)
                                                      Compartment Dimensions L W, H (m)
                                                      Sediment Bed Load (kg/hr)
                                                      Planktonic Biomass (mg/l)
                                                      Water Velocity (m/s)
                                                      Dissolved Organic Carbon (mg/l)
                                                      Bed  Load by Part. Size
                                                      Classes (%)
                                                      Total Organic Carbon (mg/l)

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        The EPA authors Stephen C. Hern (also the EPA contact, see below). George T.
         Flat/nan. Wesley L. Kinney. and Frank P. Beck, Jr., are with the Environmental
         Monitoring Systems Laboratory. Las Vegas, NV 89114; James f. Pollard is
         with the University of Nevada, Las Vegas, NV 89154; and Alan B. Crockett is
         with EG&G Idaho. Inc., Idaho Falls. ID 83415.
        The complete report,  entitled "Guidelines for Field Testing Aquatic Fate and
         Transport Models: Final Report," (Order No. PB 83-222 760; Cost: $19.00,
         subject to change) will be available only from:
               National Technical Information Service
               5285 Port Royal Road
               Springfield, VA 22161
                Telephone: 703-487-4650
        Stephen C.  Hern can be contacted at:
               Environmental Monitoring Systems Laboratory
               U.S. Environmental Protection Agency
               P.O. Box 15027
               Las Vegas, NV 89114
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