Unites) Stat»        Office o* th« Admindtrator    EPA-SAe-CASAC-ii-Q if
Environmental Prettetlon   Seltne* Advisory lotrcf     April 1389
Agtncy          Wasftinften, OC 20460
              Clean Air Scientific
              Advisory Committee
              (CASAC)
              Review of the Lead
              NAAQS Exposure
              Analysis Methodology
              and Validation

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  SI-,,
          UNITED STATES ENVIRONMENTAL PROTECTION AGtNCY

                      WASHINGTON. O C 20-160
                          April  27,  1989
The Honorable William Reilly
Administrator
U.S. Environmental Protection Agency
401 M Street, SW
Washington, DC  20460

Dear Mr, Reilly;

     We are pleased to transmit via this letter the advice of the
Clean Air  Scientific Advisory  Committee  (CASAC)  concerning its
review  of  the EPA document  "Review of the  National  Ambient Air
Quality  Standards for  Lead; Exposure  Analysis  Methodology and
Validation" {August 1988) .

     This document was reviewed by the Lead Exposure Subcommittee
of CASAC on October 23, 1988. It was the unanimous consensus of the
Subcommittee that the document is scientifically adequate for use
in  the   standard  setting  process  for lead  as  an ambient air
pollutant.     The  CASAC  hereby   endorses  the  report  of  its
Subcommittee.  A detailed presentation of our views are contained
in the attached report.

     We  appreciate the  opportunity  to provide  advice  on  this
important  issue.   Further advice  concerning the  lead national
ambient  air quality  standards will  be contained  in  our closure
letter on the Lead Staff Paper.


                              Sincerely ,
                              Timothy Larson
                              Chairman, Lead Exposure
                                    ;omiitt**
                              Roger 0. McClellan
                              Chairman, Clean Air  Scientific
                                Advisory Committee

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                             ABSTRACT


     This  report  presents  the  views  of  the  EPA1a  Clean  Air
Scientific  Advisory  Committee on  its  review  of  the  Agency's
document  entitled*  "Review  of the  National Ambient  Air Quality
Standards for Leads  Estposure Analysis Methodology and Validation".
The  Committee  concurred  with the  general  modeling  framework
presented in  the report and endorsed  the use of  the biokinetic
model  in  children  under .six years of  age, and the  use  of the
disaggregate  approach in  adults.   The Committee  cautioned that
these modeling predictions were not valid for  pregnant women and
their fetuses due to a lack of information on this subpopulation.
The use of the Mokinetic model for metals other  than lead was not
recommended.

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                              NOTICE

     This report has been written as part of the activities of the
Science  Advisory   Board,   a   public   advisory  group  providing
extramural scientific information and advice to the Administrator
and other officials  off  the  Environmental Protection Agency.   The
Board  is  structured to  provide  a balanced expert  assessment of
scientific matters  related  to problems facing the  Agency.   This
report has  not been  reviewed for approval  by the  Agency;  and,
hence, the contents  of this report do not necessarily represent the
views and policies of the Environmental Protection Agency or other
agencies  in  the Federal Government.    Mention of trade  names or
commercial products does not constitute a recommendation for use.

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                U, S. Environmental protection Agency
                        Science Advisory Board
               Clean Air Scientific Advisory Coaoaittea
                           EXPOSURE SUBCOMMITTEE

Chairman

Dr. Timothy Larson, Environmental Engineering; and Science
     Program, Department of civil Engineering,
     University of Washington, Seattle, Washington

Members

Dr. J. Julian chisola, Jr., Associate Professor, Johns Hopkins
     School of Medicine, Francis Scott Key Medical Center,
     Baltimore, Maryland

Dr. Scott Clark, Professor of Environmental Health, Department
     of Environmental Health, University of Cincinnati Medical
     Center, Cincinnati, Ohio

Dr. Ian von Lindern, President, Terragraphics Environmental
     Engineering, Moscow, Idaho

Dr. Kathryn R. Mahaffey, Science Advisor, Office of the
     Director, NIEHS, University of Cincinnati Medical Center,
     Cincinnati, Ohio

Dr. M. Granger Morgan, Head, Department of Engineering and
     Public Policy, Carnegie Mellon University, Pittsburgh,
     Pennsylvania

Dr. Paul Mushak, Consultant and Adjunct Professor, University
     of North Carolina, Durham, North Carolina

Dr. Michael B. Rabinowitz, Investigator, Marine Biological
     Laboratory, Woods Hole, Massachusetts

Dr. Robert D, Rove, Senior Vice President, RCG/Haglor, Bailly
     Inc., Boulder, Colorado

Executive Secretary

Mr. A. Rotwrt Flaafc, Environmental Scientist, science Advisory
     Board (A-101F) , U.S. Environmental Protection Agency,
     401 M Street, SW, Washington, DC  20460

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               U.S.  ENVIRONMENTAL, PROTECTION AGENCY
                      SCIENCE ADVISOR* BOARD

             CLEAN AIR SCIENTIFIC ADVISORY
Chairman
Or, Roger 0, Mceiellan, President, Chemical Industry Institute
     of Toxicology, Research Triangle Park, North Carolina

Members

Dr. Timothy Larson, Environmental Engineering and Science Program,
     Department  of civil Engineering, University  of Washington,
     Seattle, Washington

Dr. Gilbert  S, Omenn,  trofessor of Medicine and of Environmental
     Health, Dean, School of Public Health  and community Medicine,
     University of Washington, Seattle, Washington

Dr. Marc B. Schenker, Director, Occupational and Environmental
     Health Unit, University of California* Davis, California

Dr, Mark J.~Utell, Professor of Medicine and Toxicology,
     co-Director, Pulmonary Disease Unit, University of Rochester
     School of Medicine, Rochester, New York

Dr. Jerome J.  Wesolowski,  Chief, Air and  Industrial Hygiene
     Laboratory,   California   Department  of  Health,   Berkeley,
     California

Dr, George T. Wolff, Principal Scientist, General Motors
     Research Labs, Environmental Science Department,
     Warren, Michigan

Executive Secretary

Mr, A. Robert Flamk, Environmental Scientist, Science Advisory
     Board (A-101P), U,S. Environmental Protection Agency,
     401 II Street, sw, Washington, D.C*  20460

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      REPORT OP THg CLEAN AIR SCIENTIFIC ADVISORY COMMITTEE
                       .  ON ITS  REVIEW OF
 "REVIEW OF THE NATIONAL AMBIENT AIR QUALITY STANDARDS FOR LEAD;
          EXPOSURE ANALYSIS METHODOLOGY AND VALIDATION"
     With the dramatic decline in the emissions of lead from mobile
sources, there has  been  increased  interest  in airborne  lead near
stationary sources.  Given a proposed change  in lead concentrations
near stationary  sources  due to reduced emissions, will  there be
predictable  changes  in  blood  lead  levels  in  the  surrounding
population?  Exposure models are currently the only practical tool
that can address  this question within the framework of the national
ambient  air  quality  standard   (NAAQS)  setting  process.    The
scientific framework for  such modeling is the basis of the document
reviewed by the Clean Air Scientific Advisory Committee's (CASAC)
Lead Exposure subcommittee.  In  addition to discussing various
modeling approaches, the  document also presents several validation
studies in order to  compare these   modeling approaches with actual
observations  of  blood lead levels near several point  sources of
lead.  It was  the unanimous consensus of this subcommittee that the
document  is  scientifically adequate  and  that  the  EPA  staff's
proposed  changes  to  the  document  discussed  at  the  meeting
appropriately  address the  written comments 'of the  Subcommittee'
members.   The Clean  Air  Scientific Advisory Committee  (CASAC)
hereby endorses this report of its Lead Exposure Subcommittee,

     The validation studies presented convincing evidence  for a
decrease in  blood lead  levels  with increasing distance  (out to
several kilometers)  from a point source.  The subcommittee agreed
with the conclusion that any attempt to predict blood lead levels
must include  all the important 'exposure pathways  and  that the
direct  inhalation  route  of  airborne lead is  a  relatively minor
pathway  in  children.   The validation  studies  also  provided
additional  information  on  the  lead levels  of other  important
exposure  media,   including  soil,  house  dust,  food  and  water.
Therefore, these studies provide a unique opportunity to test the
ability of various  exposure/uptake models to predict mean values
of blood lead from various  routes of exposure.  Blood lead levels
were predicted using both  a disaggregate approach as  well as  a
biokinetic approach.  The Subcommittee recognized that several of
the inputs to the exposure models are uncertain, but felt that this
uncertainty  was  adequately recognized  in   the  document.   More
important, the Subcommittee concurred with the general modeling
framework and endorsed the use of the biokinetic model, in children
under six years of age and the use  of the disaggregate approach in
adults.   The  Subcommittee  also  strongly emphasized  that  these
modeling predictions  were  not valid for pregnant women and  their
fetuses due to a  lack of  information on this potentially  important
subpopulation*      The  Subcommittee also  recommended  that  the
exposure model outputs include  not only the  predicted mean  blood
lead levels  as  a  function of  downwind distance  but  also  the

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 corresponding  lead levels  In  all  exposure media  including  air,
 soil,  dust,  food  and  water.    These outputs  would provide  an
 additional basis for evaluating model performance.

     Given  a.  predicted mean blood lead  level,  another  important
 component of the exposure mod*! is  the prediction of maximum blood
 lead  levels in exposed individuals.   EPA's  approach is  to  use
 empirical estimates  of the variance of blood lead  levels  in the
 general population,  as well as those in  populations living near
 lead point  sources,  as a predictor of peak to  mean values.   The
 document  correctly  recognized that the  population   variance
 estimates depend   on  many  different  factors (e.g.,  biological,
 climatic, behavioral)  that exposure modeling cannot fully capture
 at this  time.   Given  the  uncertainties,  the  Subcommittee  agreed
 that the only reasonable assumption is to use the range of variance
 estimates from  the empirical  data.   However,  because this  is a
 sensitive parameter, we  felt the additional concern that as blood
 lead levels continue to  decrease in the future,  the assumption of
 a constant proportional variance (log-normality  assumption) may be
 compromised by analytical uncertainties in the measurement of blood
 lead, but the Subcommittee  felt  that this issue  was adequately
 addressed in the document.

     The Subcommittee  felt very strongly that the results of this
 modeling  exercise  not  be  taken out  of  context.    for  example,
 because  the available  data on  lead  in  drinking water for the'
validation  studies was limited,  the biokinetic  model in  this
 application was used to calculate average drinking water exposures
 over tin*.   However,  the biokinetic  model  is sensitive to total
 intake from this route  and can account for variations in water lead
exposure where appropriate  data are available. While the model can
 be used now to evaluate relative changes  in blood lead levels from
 changes  in  water  lead  levels,  it has  not been  calibrated for
 absolute assessments of risk from  drinking water  in the same way
 as done for other  routes of exposure.  Use of the model for other
metals  was  also  not  recommended  at  this time.    in  addition,
 although the Subcommittee  agreed that an appropriate application
 of this approach might be for prediction of offsite  lead exposures
 from fugitive  dust emissions, there was  concern  that until non-
 linearities in  the relationship between  lead exposure  and blood
 lead are incorporated  into the model, the model be  limited to use
 in areas  where soil  lead  levels  do  not exceed  4000  ppm.   In
addition, th*  model  should not be used  in areas where ingestion
 (pica) of paint fragments  is an important  route of  intake because
 this variable  was not considered  in the  case  study validation.
 Finally, the  biokinetic model should not  be  used  for predicting
adult blood lead levels at this time due  to limited data regarding
historical exposures and the possible confounding  factor of blood
 lead coming from bone.

     The  Subcommittee  was also  asked  for guidance  on  several
technical Issues that  are summarized below*  As  to the range of

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F
  • i
         dirt ingestion rates used  in  the report (55-135 mg/day depending
         on ag«), the Subcommittee agreed that this is a relatively poorly
         defined parameter  subject  to climatic variations.   Some members
         felt that tft* value of*1QQ mg/day represented an upper limit for
         a high risJe child, whereas others felt that the use of the Binder
         et al. and  Clausing et al. studies  was as good a  choice as any
         until further data are available.  All members agreed that this is
         an important paraneter  in  determining total  intake and that the
         uncertainties have been adequately discussed in the document,  in
         this  regard,  there  was agreement  that the  emphasis  in future
         research should focus on the  lead levels in the surface layer of
         the soil and not on the older,  deeper  layers.  There was general
         agreement  that the  model  use  a constant  soil  lead  level  in
         predicting  future  scenarios,  but  that  the house  dust component
         should  track the  air  lead  value.    Finally,  the approach  of
         interfacing the biokinetic and disaggregate models for intermediate
         age groups was judged acceptable by the Subcommittee in  the absence
         oŁ any other available information to the contrary.

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