United States
                    Environmental Protection
                    Agency
Environmental Research
Laboratory
Athens GA 30601
                    Research and Development
EPA-600/S3-83-060  Sept. 1983
&EPA         Project Summary

                    Effects  of Suspended
                    Sediments  on  Penetration
                    of Solar  Radiation  into
                    Natural  Waters
                    R. C. Smith, K. S. Baker, and J. B. Fahy
                      Aquatic photochemical and photo-
                    biological processes that affect chem-
                    ical fate depend on both the amount and
                    the spectral  composition  of  solar
                    radiation penetrating  to depths in
                    natural waters. In turn, the depth of
                    penetration, as a function of wavelength,
                    depends on the dissolved and suspended
                    material in these waters. As a conse-
                    quence, the  rates of photochemical
                    transformation, as well asthe impact on
                    photobiological processes, depend on
                    the optical properties of these water
                    bodies as determined by their dissolved
                    and suspended material. In particular,
                    because photochemical processes are
                    frequently governed by radiation in the
                    ultraviolet region of the spectrum, the
                    optical properties of natural waters in
                    this spectral  region are especially
                    important.
                      In this study, several theoretical
                    models were developed and some
                    unique experimental data were collected
                    for characterizing the optical properties
                    of various natural waters.  Particular
                    emphasis was placed on optical prop-
                    erties in the ultraviolet  region of the
                    spectrum. Optical properties were
                    modeled in terms  of their dissolved
                    materials and suspended sediments so
                    that the solar radiant energy penetrating
                    to depths in these waters can be cal-
                    culated from available or easily collected
                    experimental  data. The theoretical
                    models, with  input of these data, can
                    then be used  to calculate the rates of
                    photochemical and photobiological
                    processes in various aquatic environ-
                    ments.
  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
of the same title (see Project Report
ordering information at back).

Introduction
  A variety of chemical pollutants are
known to be widespread contaminants of
natural waters. Concern over the envi-
ronmental  impact and persistence of
these pollutants has prompted studies of
processes that transport and transform
these chemicals in rivers and lakes. Many
of these chemicals have been shown to
undergo photochemical transformation,
particularly as a function of the amount of
ultraviolet (UV) and near-UV radiation.
  Photochemical and photobiological
processes that take place in water bodies
depend on  both  the intensity and the
spectral composition of solar  radiation
penetrating to depth. The depth of radiant
energy penetration depends on the
attenuation characteristics of the water,
which,  in turn,  is  a  function  of the
dissolved and suspended material in the
water. Consequently, the rates of photo-
processes in natural waters depend on
the materials in  these waters and how
these  materials  influence the optical
properties of the water.
  The range of optical  properties for
different bodies of water is so large, as is
the variability within a body of water with
time, that it is currently impractical to
make meaningful in-situ optical meas-
urements for a representative sample of
natural waters. A practical alternative to
measuring  the  optical properties for a

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 wide range of waters directly  is to
 theoretically model the optical properties
 and to base the inputs of the model on
 more easily or routinely obtained experi-
 mental data.
   Several models have been developed
 and tested for the purpose of calculating
 key optical properties based on a know-
 ledge of the dissolved and suspended
'material  in the water. In addition, we
 have obtained unique laboratory experi-
 mental data, with emphasis on the UV
 spectral  region, for selected dissolved
 and suspended material  We have  used
 the more  complete of our models to
 simulate realistic field data, which are
 then used for sensitivity analyses and the
 further development of simple  practical
 models.
   These results show how to characterize
 various natural  waters theoretically, in
 terms of their  constituents  and conse-
 quent optical  properties,  so  that the
 spectral radiant energy versus depth can
 be estimated.  Thus,  the models  solve
 numerous practical  environmental  prob-
 lems associated with  the optical  prop-
 erties of natural waters. In particular, the
 results of this research provide a basis for
 both  the  theoretical  and experimental
 study of  photoprocesses  in  natural
 waters.
   The figure shown herein summarizes
 the relationship between the  experi-
 mental and theoretical work carried out in
 this project. Field data are represented by
 triangles. These data serve as both inputs
 to  and checks of the  classification
 schemes and predictive models. Predictive
 models are portrayed as boxes; param-
 eters calculated  by  means of these
 models are represented by circles. In the
 figure, the lower dashed area refers to the
 Baker-Smith component model of the
 diffuse attenuation coefficient for irradi-
 ance The upper dashed box outlines our
 Monte Carlo modeling and  the various
 inputs to and calculated outputs from this
 model The left hand side of the figure
 shows  important constituents of the
 water (chlorophyll, dissolved  organic
 material, suspended particulate material),
 which are relatively easily measureable
 in  the field and serve as inputs to the
 models The right hand side of the figure
 shows the  calculated  outputs from the
 models (spectral radiance, irradiance and
 the diffuse attenuation coefficient),
 which are the optical properties necessary
 to model in water photoprocesses.

 Experimental results (input
 data)
   Inherent optical properties of a medium
 are  independent  of  the  geometrical
configuration  of  light-field  within the
water. Included within the set of inherent
optical  properties are the  absorption
coefficient, a, and the volume scattering
function, ft(ff). The absorption coefficient
is a measure of the radiant energy lost in
passing through the medium, and the
volume  scattering function is a measure
of  the  scattering  characteristics of the
medium. It can be shown theoretically
that the set (a, (5(8))  of inherent optical
properties of a  medium are a sufficient
and complete set for the description of the
optical properties of a medium under any
circumstance.  Figure 1   indicates  how
these optical properties serve as inputs
to the models for selected constituents of
natural  waters.
  The optical properties  of water as  a
function of wavelength are dependent on
both the inherent properties  of  water
itself and the dissolved and suspended
material in  the water. The optical
properties  of pure  water serve as  a
natural limit  and a baseline for natural
waters. We have collected and summa-
rized the most recent and most reliable
data for  the  optical  properties of pure
water,  in the spectral region from 200-
800 nm,  and these serve as basic input
data (the triangle "water") to the models.
  Important  constituents that are fre-
quently found in natural  waters and
significantly influence their optical
properties  include chlorophyll (due to
phytoplankton), dissolved organic  mate-
rial, and suspended particulates. The
respective triangles and subsequent
boxes shown in the figure represent the
experimentally determined and/or indi-
                                                                          ~l
                                      /Meas\
 I	
 |	

 Figure 1.    Relationships between experimental field data and computer models.

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vidual component model  input of these
parameters  to the  larger Monte Carlo
model (box labeled "MC model").
  As an example, consider the  path (in
the figure) from the triangle "particles" to
the box  "Mie"  to the circle  "a, ft."
Suspended particulate  material  is rela-
tively easily and  routinely measured for
various natural waters. Thus, information
on the amount and size distributions of
particulate material for various waters is
relatively common. Mie scattering theory
represents an analytic solution of the
scattering  of  light  by  small  spherical
particles  From particle size distributions
as input, the Mie theory can be used to
calculate the absorbing and scattering
properties of the  water containing these
particles. This information in turn can be
used as the required input to the Monte
Carlo model
  Complete modeling of radiation pene-
trating to depth  in  natural waters
requires  as  input  the solar  spectral
irradiance,  which is incident upon the
water surface having passed through the
atmosphere. Atmospheric  data inputs
include the ratio of sky to total irradiance
(triangle "Ymeas "), as input to the model
"skymake," or alternatively, data on the
atmospheric aerosol  and  ozone con-
centration, as input to an  atmospheric
model that emphasizes the UV region of
the spectrum
  Our project used existing data  sources
and in  addition obtained unique optical
data, which emphasized the UV region of
the spectrum, for selected representative
water types. Known amounts of dissolved
organic material  (DOM) and terrigenous
material (clay) were added  to a  tank of
filtered water,  and the optical properties
were continually monitored These data
were then  used todescribe and model the
influence of each substance individually
on the attenuation of radiant energy in
water These data are represented by the
triangle so labeled and are input to the
Baker-Smith III component model.

Theoretical results (models)
  Modeling will  continue to play an
important  role in the understanding and
prediction  of spectral radiation behavior
under  water, because field data are
difficult  and  relatively  expensive to
obtain Also, once a working model exists,
it can be used to extend and extrapolate
the necessarily limited field data Use of
the models also permits one to investigate
problems where  it is particularly difficult
to obtain field data (e.g., low sun angles
or great  depths), to study unsampled
water types by simulation, to simulate
large variations in b/c or 0(8), and to do
general sensitivity studies. Such modeling
helps verify our understanding  of sub-
microscopic processes and provides an
important theoretical link  between the
constituents of an optical  medium and
their resultant optical properties.
  Our  investigation of  computational
methods is outlined in the figure where
predictive  models are represented by
boxes.  For solution to the radiative
transfer equation, most of  our work has
focused on Dave's code  for an iterative
solution and a Monte Carlo code adapted
from Kirk for a more generally useful
solution. Both  of  these  codes were
extensively modified to suit our purposes:
the Dave code because it did not directly
apply to aquatic media and the Kirk code
because it was comparatively inefficient.
We also used a code that provided the
solutions to the Mie equations to deduce
the inherent optical properties for water
from the particle size  distribution of
suspended particles. The results of the
Mie solutions can then be used in either
the Dave or Monte Carlo models.
  As anticipated in Figure 1, the required
data inputs to the Monte  Carlo model are
optical properties of water for which we
had extensive data bases or for which we
developed appropriate component models.
These component models take as input
the relatively routine data in the form of
concentrations of the  component of
interest (e.g., chlorophyll,  DOM, partic-
ulates) and output the diffuse attenuation
for irradiance (for  example the lower
dashed area in Figure 1). Both the Monte
Carlo model that we developed and our
component models have  been compared
against experimental data and have been
shown to agree extremely well.

Overall results  (spectral
irradiance and photolysis  rates)
  In developing  models  for the  aquatic
environment, we first considered the
input radiance distribution, LO.  Both an
analytical  approach (the  atmospheric
model  of Dave) and an experimental
approach  ("skymake") were   useful
depending  on the specific problem and
input data available. The  inherent optical
properties of waters, based on represent-
ative  dissolved  and suspended com-
ponents, also  were modeled. These in-
dividual component models provide the
absorption and volume scattering function
(or alternatively the single scattering
albedo and phase function for scattering)
as input to the Monte Carlo model.
  The Monte Carlo model can then be
used to calculate the underwater spectral
irradiance, EM, z), and  the spectral
diffuse attenuation coefficient, K(A, z, 0).
Alternatively, if the concentrations of key
components are known, the multicom-
ponent model shown at the bottom of the
Figure can be used to calculate E and K.
  Once the underwater spectra I irradiance
can  be calculated, it  is possible  to
calculate the rates of underwater photo-
processes  in general  and chemical
photolysis  rates  in particular.  Equally
important, the rates of these photoproc-
esses can be calculated as a function of
all the input variables, for example, as a
function of atmospheric  properties, sun
angle, and various water properties. Thus
these photoprocesses can be character-
ized  in terms  of various environmental
parameters.


Conclusions and
Recommendations
  The experimental and theoretical study
of environmental processes in important
practical situations can be complex and
expensive. This research demonstrated
the cost effectiveness of an integrated
theoretical and experimental program
where limited, but  specifically chosen,
data were used to test and refine models.
These models, in turn, were  used  to
simulate realistic field data for sensitivity
analyses and the further development of
simple practical models.
  Our investigations have obtained
valuable new data  and created theoretical
models that provide solutions to diverse
environmental problems dealing with
natural waters. This work also suggests
new directions for further  productive
research. Specific recommendations
include:  (1) more complete experimental
work  in  controlled  environments (e.g.,
tank experiments)  with  emphasis on
determining the  optical  effects when
these are mixed, (2) work to increase the
speed and efficiency of the Monte. Carlo
model and the use of this model for
continued sensitivity  analysis directed
toward specific practical problems, (3)the
development and application of other
solutions of the radiative transfer equation
that can be expected to provide increased
insight into  the fundamental processes
underlying  various  significant environ-
mental problems,  and (4) the use of Mie
scattering theory to compute the inherent
optical properties of various natural
sediments and the subsequent use  of
these in our biooptical component model
to compute the apparent optical properties
for waters of interest.

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        R. C. Smith andJ. B. Fahy are with the University of California. La Jolla. CA 92093;
           K. S. Baker is with the University of California, Santa Barbara, CA 93106.
        R. G. Zepp is the EPA Project Officer (see below).
        The complete report, entitled "Effects of Suspended Sediments on Penetration of
           Solar Radiation into Natural Waters," (Order No. PB 83-238 188; Cost: $10.00,
           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:
                Environmental Research Laboratory
                U.S. Environmental Protection Agency
                College Station Road
                Athens,  GA 30613
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