&EPA
            United States       Region II Office
            Environmental Protection  26 Federal Plaza
            Agency         New York, N.Y. 10007
            Air
Participate Source
Contributions  in the
Niagara  Frontier

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                                   ERRATA






     An error has been discovered in the calibration factor which was used




during the x-ray fluorescence analysis for bromine in the particulate air




filters.  At the time that the xrf system was operated, an incorrect response




slope had been programmed into the computer software which lead to the high




values observed for bromine.  Subsequent reanalysis of two bromide standards




has confirmed the error and has given rise to the correction factor 0.62.  This




factor should be used to multiply all bromine concentrations as they appear in




appendices B and C.  As a result of this action, bromine concentrations less




than 0.017 micrograms/cubic meter should be considered to lie below the




analytical detection limit within this project.

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                                    TECHNICAL REPORT DATA
                             (Please read Instructions on the reverse before completing)
1. REPORT NO.
  EPA 902/4-79-006
                                                              3. RECIPIENT'S ACCESSION NO.
4. TITLE AND SUBTITLE
  PANICULATE. SOURCE CONTRIBUTIONS 'IN THE
  NIAGARA FRONTIER
5. REPORT DATE of  Preparation
  December, 1979	
6. PERFORMING ORGANIZATION CODE
7. AUTHOR(S)
                                                              8. PERFORMING ORGANIZATION REPORT NO.
  Dr. Nicholas  P. Kolak,  James Hyde, Robert Forrester
9. PERFORMING ORGANIZATION NAME AND ADDRESS
  New York State Department of Environmental Conservation
  Division of Air
  Bureau of Developmental   Technology
  50 Wolf Road,   Albany, New York,   12233
                                                              10. PROGRAM ELEMENT NO.
11. CONTRACT/GRANT NO".

   68-02-2880
12. SPONSORING AGENCY NAME AND ADDRESS
  U.S. Environmental Protection Agency
  Region II
  Air Programs  Branch
  New York City,   N. Y.            	
13. TYPE OF REPORT AND PERIOD COVERED
 Final Jan. 1978-Jan. 1980
14. SPONSORING AGENCY CODE
15. SUPPLEMENTARY NOTES
 16. ABSTRACT
17. KEY WORDS AND DOCUMENT ANALYSIS
a. DESCRIPTORS
TSP
particulate matter
ion chroma to graphy
x-ray fluorescence analysis
chemical element balance
dichotomous sampler
hi-vol sampler
_partien1afp sizp elassi Fi eati on
18. DISTRIBUTION STATEMENT
b.lDENTIFIERS/OPEN ENDED TERMS
inhalable particulates
urban area particulates
elemental analysis
micro -inventory
New York State air qualit;
filter analysis
air pollution control
19. SECURITY CLASS {This Report)
20. SECURITY CLASS (This page)
c. COSATI Field/Group

21. NO. OF PAGES
22. PRICE
 EPA Form 2220-1 (Rev. 4-77)   PREVIOUS EDITION i s OBSOLETE

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      Include a brief (200 words or less) factual summary of the most significant information contained in the report.  If the report contains i
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  17. KEY WORDS AND DOCUMENT ANALYSIS
      (a) DESCRIPTORS - Select from the Thesaurus of Engineering and Scientific Terms the proper authorized terms that identify the rnaja
      concept of the research and are sufficiently specific and precise to be used as index entries for cataloging.

      (b) IDENTIFIERS AND OPEN-ENDED TERMS - Use  identifiers for project names, code names, equipment designators, etc.  Use opeir
      ended terms written in descriptor form for those subjects for which no descriptor exists.

      (c) COSATI FIELD GROUP - Field and group assignments are to be taken from the 1965 COSATI Subject Category List. Since the m*
      jority of documents are multidisciplinary in nature, the Primary Field/Group assignment(s) will be specific discipline, area of human
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EPA Form 2220-1  (Rev. 4-77) (Reverse)

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       PARTICULATE SOURCE CONTRIBUTIONS  IN THE
                   NIAGARA FRONTIER
                           by
           N. P. Kolak,  J.  Hyde,  R.  Forrester
                     Division of  Air
          Bureau of Developmental Technology
                Albany,  New York  12233
              EPA Contract No.  68-02-2880
                     Deborah Brome
                    Project Officer
                    USEPA Region II
               New York City, N.Y. 10007
New York State Department of Environmental Conservation
                     50 Wolf Road
                  Albany, N.Y.  12233

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                                 DISCLAIMER




     This report has been reviewed by the Region II,  United States  Environ-




mental Protection Agency, and approved for publication.   Approval does  not




signify that the contents necessarily reflect the views  and policies  of the




U.S. Environmental Protection Agency, nor does mention of trade names or




commercial products constitute endorsement or recommendation for use.
                                     ii

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                                  ABSTRACT




     Several areas throughout the Niagara Frontier Air Quality Control Region




have consistently been faced with air particulate concentrations which exceed




the Federal primary AAQS.  Within this region there is much heavy  industry




associated with electric power production, coking, steelmaking, graphitizing,




and bulk material handling.  An attempt to investigate the  nature  of the




particulate composition at six receptor sites was initiated for an eighteen-




month period beginning January, 1978.  Dichotomous samplers employing teflon




filter membranes were utilized to provide two size fractions of air particulates




-- 0-4 and 4-15 micrometers particle diameter.  At least  two sampling runs were




conducted each week from summer through spring.   Approximately 550 pairs  of




air particulate filters were subjected to x-ray  fluorescence analysis for




twelve metals — lead, bromine, zinc, nickel, iron, manganese, chromium,




vanadium, calcium, sulfur, silicon,  and aluminum.  Extraction of these filters




and analysis by ion chromatography yielded data  for fluoride, chloride,




nitrite, bromide, phosphate, nitrate, sulfate, ammonium,  potassium, and sodium




ions.




     A chemical element balance approach was  used to model  the chemical compo-




sition of various particulate source categories  - iron and  steel,  soil, lime,




oil, refuse, and automobile.  The chemical fingerprints of  the particulates




derived for each of these categories were used to resolve the total particle




mass observed at each receptor site  into the  component categories.
                                     iii

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     Major differences were observed in site-to-site  concentrations of various




metals, especially lead, iron, and zinc.   Various  patterns were  observed  for




trace metal levels with respect to wind direction. Sulfate  loadings, when




expressed as a percent of TSP, exhibited only minor fluctuations throughout




the test area regardless of wind direction, and serve as a  indicator  of  back-




ground particulate levels which are transported into  New York State.




     This report was submitted in fulfillment of Contract No. 68-02-2880 by




the New York State Department of Environmental Conservation under the sponsor-




ship of the U.S. Environmental Protection Agency.  This report covers a  period




from January 1978 to December 1979, and work was  completed as of December 1979.
                                      IV

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                               CONTENTS


Disclaimer	
Abstract	
Figures	   vi
Tables	viii
Abbreviations	   ix
Acknowledgements	    x

   1.  Introduction	1-1
   2.  Conclusions and Recommendations	  2-1
   3.  Site Description	3-1
   4.  Collection of Air Particulates	4-1
            Hi-vol Samplers (Glass Fiber Filters)	4-1
            Hi-vol Samplers (Whatman-41 Filters) 	  4-1
            Dichotomous Samplers (Teflon Filters)	4-2
            GCA Air Particulate Monitor (APM)	4-8
   5.  Laboratory Analyses 	  5-1
            Suspended Particulate Weights	5-1
                Whatman-41 Filters	5-1
                Millipore Fluoropore  Filters	5-1
            X-Ray Fluorescence Analysis	5-2
            Ion Chromatography	5-4
            Scanning Electron Microscopy and Electron Microprobe
                Analysis	5-5
   6.  Suspended Farticulate Data	6-1
            Whatman-41 Hi-vol Data	6-1
            Dichotomous Sampler Data	6-8
            GCA Ambient Particulate  Monitor  (APM)  Data	6-15
   7.  Particulate  Sulfur and Sulfate	7-1
   8.  Chemical Components - General Observations	8-1
            Introduction	8-1
            Light Elements  (Al, Si,  S, Ca)	8-14
                Aluminum	8-14
                Silicon    	8-15
                Sulfur     	8-17
                Calcium    	8-17
            Transition Metals  (V,  Cr, Mn, Ni,  Zn,  Fe)	8-19
                Vanadium	8-19
                Chromium	8-19
                Manganese	8-20
                Nickel     	8-20
                Zinc      	8-20
                                 v-a

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                                                                       Page
                Iron	    8-21
                                                                       Q -OA
                Lead and Bromine	    o-^t
             Ion Chromatographic Data   	    8-25
                Introduction  	    8-25
                Sodium	    8~25
                Potassium   	    8-25
                Ammonium	    8-26
                Halides (F, Cl, Br)	    8-27
                Nitrate and Nitrite   	    8-27
    9.  Scanning Electron Microscopy  	    9-1
   10.  Chemical Element Balance  	   10-1
             Introduction   	   10-1
             Source Category Coefficients 	   10-3
             Six Source Resolution  	   10-7
             Seven Source Resolution  	   10-17
             Particulate Mass Balance   	   10-21

References	    R-l
Appendix A - Chemical Components-Project Averages For Each Site  .  .    A-l
Appendix B - Project Data - Fine Particle Fraction	    B-l
Appendix C - Project Data - Coarse Particle Fraction  	    C-l
Appendix D - Hi-Vol Suspended Particulate Data (Whatman-41)  ....    D-l
Appendix E - CEB Results - Six Source Category-Fine Fraction   .  .  .    E-l
Appendix F - CEB Results - Six Source Category*Coarse Fraction   .  .    F-l
Appendix G - CEB Results - Seven Source Category-Fine Fraction   .  .    G-l
Appendix H - CEB Results - Seven Source Category-Coarse Fraction   .    H-l
                                 v-b

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Number
1
2
3
4
5

6
7
8
9
10
11
12
13
14
15
16
17
18

19

20
FIGURES



Bell Inlet System 	
Details of Dichotomous Sampler 	
Relationship of suspended particulate concentrations using . .



Site 3 ratios of particulate weights (Fine/Total) 	
Site 6 Ratios of particulate weights (Fine/Total) 	


Wind rose for APM suspended particulates at site 5 	
Dosage rose for APM suspended particulates at site 5 	


Comparison of APM SP to Hi-Vol SP 	
Total Sulfate - monthly averages per site (M-g/m3) 	
Dichotomous sampler suspended particulates - monthly
averages per site (i-Lg/nr*) 	
Sulfate as a percent of total sulfur - monthly averages
per site 	
Fine particulate sulfate as a percent of IP 	

Page
3-4
3-5
4-4
4-5

6-2
6-5
6-6
6-10
6-11
6-13
6-14
6-16
6-17
6-18
6-20
6-21
7-2

7-4

7-5
7-7
vi

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Number                                                                    Page


                                                              •            Q Q
  21   Site variations for silicon, sulfur, aluminum,  and calcium .  -  •    °~°



  22   Site variations for chromium, vanadium, and nickel	    °~"


  23   Site variations for zinc and manganese	    8-10


  24   Site variations for iron, lead, and bromine	    8-11


  25   Site variations for sodium, potassium, nitrite, and halides  .  .    8-12



  26   Site variations for sulfate, ammonium, and nitrate 	    8-13


  27   Wind sector analyses for iron and silicon for sites 5 and 6  .  .    8-16



  28   Histogram of Predicted and Observed Suspended

         Particulate Concentrations   	   10-23
                                      vii

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                                     TABLES


Number                                                                       Page

  1   Sampler Location	3-2

  2   Site Identification Numbers	3-3

  3   XRF Detection Limits	5-3

  4   Statistical Characteristics of Hi-vol Measurements Using Whatman-41
        and Glass Fiber Filter Media	6-1

  5   Site Data Summary From Dichotomous Samplers	6-8

  6   Total Sulfate From Dichotomous Samplers ((j,g/m3)	7-1

  7   Average Values of Chemical Species for Total Dichotomous Suspended
        Particulates	8-2

  8   Chemical Species - Percentage of Fine Particulate Fraction	8-3

  9   Enrichment Factors for Chemical Components	8-6

  10   Chemical Species - Percentage Composition of Fine and Coarse Particle
        Fractions	8-7

  11   Wind Directions Observed for High Iron Concentrations	8-22

  12   Normalized Elemental Concentrations  for Each Source Category  (Fine)  .  .10-4

  13   Normalized Elemental Concentrations  for Each Source Category  (Coarse)  .10-5

  14   Six Source Category Distribution Summary (% FSP)  	  10-12

  15   Six Source Category Distribution Summary (% CSP)  	  10-16

  16   Seven Source Category Distribution Summary (% FSP)  	  10-18

  17   Seven Source Category Distribution Summary (% CSP)  	  10-19

  18   Mass Balance of Suspended Particulate Concentrations  	  10-22
                                     viii

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                      LIST OF ABBREVIATIONS AND SYMBOLS




SIP     — State Implementation Plan




NFAQCR  — Niagara Frontier Air Quality Control Region




AAQS    — Ambient Air Quality Standard




TSP     — Total Suspended Particulates (Glass Fiber Data)




IP      — Inhalable Particulates (Dichotomous Sampler Data; IP = FSP + CSP)




FSP     — Fine Suspended Particulates (Dichotomous Sampler Data)




CSP     — Coarse Suspended Particulates (Dichotomous Sampler Data)




SP      — Suspended Particulate (Whatman-41 Data)




CEB     — Chemical Element Balance




Hi-Vol  — High-Volume Air Sampler




SEM     -- Scanning Electron Microscopy




RH      -- Relative Humidity




xrf     -- X-Ray Fluorescence




BR-S    -- Soluble Bromide as measured by Ion Chromatography




Kev     -- Kilo Electron Volts




Kv      — Kilovolts




ma      -- Milliamperes




sec     -- Seconds




HR      — Hours




CFM     -- Cubic feet per minute




urn     -- Micrometer




LPM     -- Liters per minute






                                     ix

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                              ACKNOWLEDGMENTS




     Project Officer Deborah Brome's dedicated assistance contributed to  this




study and is gratefully acknowledged.  The authors  are grateful  to  many of the




staff members of the Division of Air for their support in this project.   In




particular, the assistance of Gopal Sistla has been invaluable in the area of




computer programming and in the development of a  chemical element balance




program.  Special thanks are extended to our staff  in Region 9,  particularly




Henry Sandonato and Frank Price, for assisting us in establishing and maintain-




ing field operations throughout the course of this  investigation.  The sem




work performed by Mr. Roger Cheng at the Atmospheric Sciences Research Center




is gratefully acknowledged.  The comments of Dr.  Glenn Gordon and Mr.  Scott




Rheingrover of the University of Maryland are greatly appreciated.  The authors




would like to thank Mrs. Catherine Cassidy and Miss Nancy Gardner for typing




this report, and Mrs. Carol Clas and Mr. Gary Lanphear for drafting the




figures.

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                                  SECTION 1




                                INTRODUCTION




     Traditional source dispersion models have been used in the Buffalo-




Lackawanna region of New York State to estimate TSP concentrations from




emissions inventory and meteorological data.  This approach balances its total




predicted TSP to 100% of actual observed concentrations, but suffers from an




inherent inability to describe in more detail the impact of various individual




contributors on any specific receptor site.  In order to provide a more




accurate assessment of the individual influences of various emission source




categories on receptor sites in the NFAQCR, it is necessary to  define the




chemical composition of the source categories and of the TS-P for each particu-




late filter sample.  This approach has been attempted in the past by various




groups (1-5) with increasing success.  Basically, a computer model is used to




resolve each air particulate sample among the various major source categories




which are located within the region.  Resolution is accomplished by the use




of a set of simultaneous equations which represent  a "chemical fingerprint"




for each of the major source categories.  The chemical composition observed in




the TSP sample is reconstructed from these equations until a best fit is




obtained.




     To provide detail in particle size, dichotomous samplers were employed




at each site to permit monitoring of the inhalable particulate  fraction, 0-15




micron particle diameter.  The field stations were equipped with hi-vol




samplers employing both Whatman-41 and glass fiber filter media to permit the





                                     1-1

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intercorrelation of all participate measurements.  All of  the particulate




filters collected by the dichotomous samplers  were analyzed by x-ray  fluores-




cence for the following elements - lead,  bromine, zinc, nickel,  iron, manganese,




chromium, vanadium, calcium, sulfur, silicon,  and aluminum.  Subsequent  ion




chromatographic analysis of the filter samples yielded  concentrations  for




fluoride, chloride, nitrite, bromide, phosphate, nitrate,  sulfate,  ammonium,




sodium, and potassium ions.  Chemical fingerprints,  descriptive  of  the major




particulate source categories, were derived in terms of the  latter  chemical




components and were used to resolve the particulate  concentrations  observed at




the receptor sites into the respective source  category  contributions.
                                     1-2

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                                  SECTION 2




                       CONCLUSIONS AND RECOMMENDATIONS






     The conclusions and recommendations which arise from an interpretation




of the final results of the Niagara Frontier study are presented below.  Since




many of the facts here are unrelated to each other, no attempt was made to




write this section in a continuous manner.  The facts are simply stated in




list form with no order of importance.




     1.  From the final analysis of all project data, it is concluded




         that the six field stations have provided a wealth of high quality




         data for the characterization of sources which contribute to




         the overall TSP observed in the Niagara Frontier.  Because of




         the predominant southwesterly winds and the intense industrial




         emission sources within the urban area, it is recommended that




         any future efforts attempt to set up at least two more stations.




         One station should be  located on the lake shore west of the area




         defined by Sites 2, 3, 4, and 5.  The second additional station




         should be situated south of the Bethlehem Steel complex below




         Site 5.  The purpose here is to provide additional TSP measure-




         ments which are close  to the existing sites and which provide




         upwind (background) data from areas which are adjacent  to major




         emission sources.  Coke oven emissions do not appear to  be




         adequately described by the present data  base and  future  investi-
                                     2-1

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    gations may wish to  consider upwind-downwind sites that are closer

    to  this industrial operation.   These additional sites  will be difficult

    to  install and must  consider the availability of power and the use

    of  private lands.

2.   Data for  suspended particulates which supercede that produced within

    this project represents information based on the use of glass fiber

    filter media.  The use of dichotomous samplers in this study has

    produced data which is size fractionated and previously unavailable

    to us.  From the final results of this study,  it is concluded that

    the fine and coarse particulate fraction and data are essential if

    one is to  resolve emission sources contributing to TSP.   However,
    »
    dichotomous  samplers represent a non-standard  methodology and

    results must be  related to glass fiber data  from current  hi-vol

    monitoring.  As  in  the Niagara Frontier study, it is  recommended

    that  stations  be simultaneously equipped with  instrumentation

    which provides particle size  classification  as well as hi-vol glass

     fiber data.   Such a data  base permits some comparisons to be made

     between  the two independent  systems  in regard  to  current  air

     quality  standards.   Without  these  comparisons, the results from

     size classified data are  almost  impossible  to  relate  to  standard

     hi-vol data.  It is further recommended  that dichotomous  samplers

     be used  which are better  designed  and possess  a coarse-fine

     separation at 2.5 microns particle diameter.  This  separation

     value would permit  data to be correlated with that  arising  from

     projects  outside the state and would allow a comparison of

     particulat'e data from regions throughout the nation.


                                2-2

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3.  Because size classified data has been judged so important, a further




    aspect to be considered in the collection of particulates is the




    diurnal variation of particulate concentrations.  The use of auto-




    matic dichotomous samplers should be used which have the capacity




    to collect samples on some multiple hour basis.  Samples collected




    in this manner would offer more source category information by




    permitting a closer accounting of variations in wind direction.




4.  One observes from the chemical analyses in this project that many




    components of TSP were monitored - 12 metals and 10 ions.  It is




    concluded that these 22 variables represent the main core of para-




    meters with which one should be concerned and that a reasonable




    characterization of SP has been achieved.  From knowledge of the




    application and function  of the GEB model, itfs expected that more




    accurate  source resolutions will be obtained as the number of




    parameters in  the chemical profiles is expanded.  Therefore, it




    is  recommended that chemical analyses be expanded to include more




    components and that detectable  limits be pushed to  levels consistent




    with time and  funding requirements.




 5.  It  is concluded that  sulfate comprises  the  single major species




     (50-99%)  of  all possible  forms  of  sulfur-containing particulates.




    Sulfate  and  sulfur particles are primarily  found  in the fine




     fraction (>95%) and  are most  likely representative  of  long  range




    transport of material  arising  from gas-to-particle  conversion




    processes.   Site  averages of  sulfate  throughout the course  of this




    project  have  shown  that  similar levels  are  observed at all six




    stations.   One concludes  that  major emissions  of sulfur particulates





                                2-3

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   from industrial processes are not readily discernible  in project


   data, and local emission sources may possibly be negligible  despite


   such activities as coking and the use of bulk sulfuric acid.   After


   consideration of wind direction data, it is concluded  that greater


   than 75% of all sulfate material enters New York State from  west  of


   Buffalo.  It is further observed that the overall  project  sulfate


   concentrations form approximately 187° of IP concentrations.   When


   ammonium and nitrate concentrations  are included with  sulfates as


   representing background particulate  concentrations,  this  fraction


   represents  one of  the  largest single groups which  contribute to


   the overall observed IP  levels.
                          9

6.  The following  list of  chemical  components was  found  to occur pre-


    dominantly (>60%)  in the  fine particle  fraction -  lead, bromine,


    zinc,  vanadium,  sulfur,  sulfate, nitrate, nitrite, potassium, and


    ammonium.   On  the  other  hand, calcium,  silicon, aluminum,  and iron


    were found mainly in coarse particles.   The  segregation of particle


    size and the  different chemical compositions  afford  one the


    opportunity to make  distinctions  in the contributing sources.  The


    remaining components  were fairly equally dispersed between the fine


    and coarse fractions  - nickel,  manganese,  chromium,  and sodium.


7.  The effects of the steel industry are evident at all urban sites.


    Project data permits  the conclusion that Sites 4 and  5 in Lackawanna


    experience heavy  localized concentrations of IP that  are rich in


    iron, manganese,  and calcium.   These metals implicate  the respective


    raw materials used in the production of steel.


8.  The elevated ammonium concentrations that are  observed at Sites  1



                              2-4

-------
    and 2 lead one to suspect that emissions from coking operations




    are responsible for the observed increases.  It is  felt that project




    results have not adequately addressed the contribution to  IP of




    emissions from coke production.  Filter samples from Sites 1 and  2




    were often quite black and suggestive of carbon from coal/coke.




    However, no chemical data currently resulting from  this project




    appears to be useful in estimating the percentage contribution of




    coke emissions to observed TSP-  It is recommended  that future




    studies concerned with this aspect may make  use of  analysis for




    polynuclear aromatic hydrocarbon components  or other similar classes




    of compounds which  are peculiar to coke production, thereby serving




    as a tracer.




 9.  The increased  levels of calcium within Lackawanna  implicate lime




    and/or slag operations at  Bethlehem Steel  Corp.  An initial data




    analysis  in Section 8 of this report  suggests  that  Ga/Fe  and Ga/Mn




    ratios may help  to  distinguish between these two emission sources




    in future work.




10.  Major  chemical components  which  are observed at  the background




     station are  silicon,  aluminum, ammonium,  and sulfate.   The conclusion




    can be drawn  at  Site 6  that  the  bulk  of  the   SP  is  composed of con-




    tributions mainly from soil  and  the  long range  transport  of parti-




    culates.




11.   Silicon data  is  found  to  increase  in  the direction of increasing




     traffic density.   Observed site  variations are attributed to an




     increase  in  re-entrainment and permit one to conclude that silicon




     is mainly representative  of  soil particulates.   To be sure, silicon






                               2-5

-------
    is used in the steel industry.  However, site data currently indicate




    that silicon contributions from steel emissions  are negligible.




    Support for these statements is also drawn  from  the aluminum data.




    Site data suggest that the bulk of all  aluminum  originates  from soil




    and that any industrial emissions of this metal  within the  study




    area are also negligible.  Because of the importance  of these two




    elements in distinguishing among all emission source  categories, it




    is  recommended that  future studies make use of improved analytical




    sensitivities for both components so that any subtle  variations in




    concentrations may be followed more accurately.




12.  The interpretation of zinc data is rather confusing at this time.




    The high metal  levels at  Site  1 are expected to  arise chiefly from




     abraded rubber  tire  particles  since this  station is usually downwind




     of the nearby New York  State  Thruway.   However,  zinc  occurs at




     similar high levels  only  at Sites 4 and 5 in Lackawanna.  Although




    major  roadways  exist upwind of these two  sites,  the realization that




     galvanizing operations  are  located nearby results in  confusion in




     the distinction of the  two  source categories.   It is  recommended that




     future investigations  accurately  define the importance of zinc from




     automotive emissions and  determine whether  or not galvanizing




     operations make any  contributions at all.




13.  An analysis of  the SP data permits the  conclusion that dichotomous




     samplers collect approximately 607, of  the particulate weight at all




    urban  sites which is similarly collected by conventional hi-vols




     employing glass-fiber  filter  media.  This fact  must  be well understood




     by anyone wishing to interpret the dichotomous  data and. to make







                                2-6

-------
    extrapolations to standard hi-vol data.  While one may multiply


    IP data by 100/60 to estimate comparable glass fiber TSP, one may


    introduce large errors by applying a similar procedure to individual


    chemical components.  For example, sulfates are essentially  fine

                                                    3
    particles and dichotomous sampler values in y,g/m  should compare


    directly to glass fiber data.  Presumably there is little or no


    sulfate in the 40% additional mass which is collected on glass fiber


    filters.  The application of the factor 100/60 to dichotomous-derived


    sulfate in order to obtain hi-vol (glass fiber)-derived sulfate would


    be  incorrect.  More generally, a component of a particular size


    fraction of IP cannot be so simply "scaled up" to a value which is


    expected for TSP since the factors are frequently different  for each


    particle size  fraction.


14.  The GEB model  attempts to distribute observed chemical component


    concentrations among pre-defined emission source categories, using


     as  a basis  the chemical profiles which are characteristic of each


     source category.  A detailed knowledge of the coefficients which


     comprise the  chemical profiles used  in this  study  lead one to


     conclude that  this  aspect of the  CEB model is deficient,  both  in


     terms of  accuracy  and in  the necessary detail.   Despite  these


     deficiencies,  the  resulting distribution of  IP  among  the  potential


     source categories  appears highly  reasonable  for all  sites.   However,


     improvements  in  the overall resolution can be expected  from the


     recommendation that chemical profiles  should be used in the  future


     which are  specific  for  the  Buffalo  region.   This action would


    necessitate the  collection  of  bulk  samples which adequately represent


                                2-7

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     the  bulk  emissions  for  each source  category.   Such an  approach is


     expected  to  provide more  accurate results  in  terms of  emission


     source resolution.  It  is impossible  to  determine  at this  time


     whether the  accuracy  would be  improved 10% or even 500%.   The degree


     of improvement involves the relationship of the data which is presently


     used in the  chemical  profiles  with  any such changes found  necessary


     in profile data which is  specifically determined for the Niagara


     Frontier.


15.   On the basis of the results of the  CEB analyses of FSP which was


     performed on project-average data  for each site, one may  state the


     following conclusions for a six source category resolution.  Soil
                                                                         »

     components average 45%.of the  observed FSP at the  three Buffalo sites.


     This material becomes airborne from the action of lake breezes on


     the shore and barren  lands and is  assisted inland by  re-entrainment


     from vehicular activities.  Steel,  oil,  and liming emission source


     categories account for a  combined  total of 10% of the  observed FSP


     in Buffalo.   Automotive particulates  represent approximately 40% of


     the contributions to  FSP  throughout all the urban sites,  decreasing


     to 25% at the rural station.  Emissions from the steel category do


     rise within Lackawanna (Sites  4 and 5) and form an appreciable


     portion (21%) of FSP.  One further concludes  that industrial steel-


     making contributions  to FSP are comparable to those which  are


     estimated from soil as well as auto categories.


16.   On the basis of the results of the CEB analysis of GSP on  project-


     average data, the following statements can be concluded for  the  six-


     source resolution.   Soil components at the Buffalo sites  comprise


                               2-8

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    the  single  largest  contribution  (807.)  to  observed  CSP.   Contributions




    from steel,  oil,  refuse,  and  auto  exhibit only minor inputs  to the




    coarse  particle  fraction.  The  liming  category reveals  a significant




    contribution (157.)  to GSP within Buffalo.  One should realize that,




    while the steel  category itself does not  reveal  much impact,  any




    possible contributions from slag operations would  appear in  the




     liming category.   A steel emission contribution  is observed  in




     Lackawanna but barely reaches 57..   Again, slag particles would appear




     in the liming category and the 107. rise noticed  here, above  the




     Buffalo values,  is believed to represent  slag and/or limestone




     operations which are associated with steel production.




17.  The GEB analysis was extended to seven sources with the inclusion of




     a category for particulates arising from the combustion of coal




     during power generation.  Interpretation  of the  CEB results  becomes




     more difficult.   The seventh category, coal, permits a  reasonable




     distribution of particulates in the FSP fraction without significantly




     changing the estimates derived from the six category resolution.




     While designed specifically for coal-fired power plant  emissions,




     the coal profile results in observed increases at Sites 4 and 5 and




     may reflect some contributions from the coal/coke processing




     operations in that area.  A similar attempt to analyze  the CSP




     fraction results in an overall poor fit so that the value of the




     addition of a coal source category is questionable.
                                2-9

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                                  SECTION 3




                               SITE DESCRIPTION




     Six field sites were chosen in the NFAQCR for the installation of air




sampling equipment.  The major consideration in the sitings was the knowledge




that there were only several "hot-spots" in the Buffalo-Lackawanna region




where excessive TSP levels were frequently observed.   After reviewing several




additional factors such as the availability of electrical power, ease of




access by personnel, and the time schedule, field stations were eventually




located in close proximity to existing and approved New York State network




sites.  The added benefit could then be realized of the direct comparison of




the TSP measurements to the State*s hi-vol system using standard fiberglass




filter media.




     A description of each site is provided in Table 1, where the location,




height above ground, and other characteristics are presented.  Table 2




presents New York State's site identification numbers which are renumbered 1-6




to aid in establishing the north-south relationship of sites.  Site 1 is the




northernmost station while Site 6 is the southernmost and rural background




station.
                                   3-1

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                                                    TABLE 1.   Sampler Location
City

Buffalo



Buffalo




Buffalo



Lackawanna



Lackawanna



Angola-On-The-Lake
                     Site Identification
1401-13
1401-11
1401-02
1402-10
1402-01
1463-02
Location

Public School #28
1515 South Park Avenue
UTME 186915 UTMN 4752215

Public School #26
84 Harrison Street
UTME 187100 UTMN 4750700
Holy Family Church & School
920 Tift Street
UTME 185800 UTMN 4748600

Friendship House
264 Ridge Road
UTME 185800 UTMN 4748600

Lackawanna Sewage Treatment Plant
252-282 Lehigh Street
UTME 186100 UTMN 4747700

Big Sister Creek Waste Water
  Treatment Plant
Old Lake Shore Road, near
  Benett Road
UTME 170000 UTMN 4722300
                                                            10 m
                                                            15 m
                                                             5 ra
                                                             5 m
                                                              6  m
                                                                                                    Land Use
                                                                         Industrial
                                                                                                                            Comments
                                                                                                 No obstructions.
Industrial-residential  Although other
                        buildings are near-
                        by, PS #26 is
                        tallest.

Residential-commercial  No obstructions.
                                                                         Commercial
                                                                                                 No obstructions.
Industrial-residential  No obstructions.
                                                                         Residential
                                                                                                 No  obstructions.

-------
                   TABLE 2.   SITE IDENTIFICATION NUMBERS





                      State  I.D. #    Project I.D.  #
1401-11
1401-13
1401-02
1402-10
1402-01
1463-02
1
2
3
4
5
6
Figures 1 and 2 reveal the spatial relationship among the five urban stations




and the single rural background station, respectively.  The urban sites




follow an approximate north-south line about 7.2 kilometers in length.  The




rural station, Site 6, is located approximately 24 kilometers south of Site 5,




well removed from the heavy industrial and populated urban centers.  Each




site was installed according to EPA siting guidelines, with special attention




paid to height above ground, distance from walls and other obstructions, and




proximity to major emission sources.
                                     3-3

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                                         1402-01
                                              TV V—
                                              J  I  <   x.;
                                                         1401-11
                                                         1401-13
                                                      £—1401-02
FIGURE 1.  LOCATION OF URBAN SITES IN BUFFALO AND LACKAWANNA.
                          3-4

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1463
         FIGURE 2.  LOCATION OF RURAL (BACKGROUND) SITE IN ANGOLA.
                                    3-5

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                                  SECTION 4

                       COLLECTION OF AIR PARTICUIATES


HI-VOL SAMPLERS (GLASS FIBER FILTERS)

     The locations of five project sites (Site 4 is excluded) were coincident

with stations in the Department's statewide particulate monitoring network.

The State's hi-vol samplers at the five locations used conventional glass

fiber filters.  This equipment was calibrated and operated according to

procedures    set forth by the Environmental Protection Agency.  The glass

fiber filters collected 24-hour suspended particulate samples and the

resultant  loadings were determined by the New York State Department of Health.

Access to  this TSP data permitted comparisons to be made with the project's

Whatman-41 and dichotomous data, respectively.

HI-VOL SAMPLERS (WHATMAN-41 FILTERS)

     Each  of the project's six sites was equipped with a second hi-vol unit

which was  operated using Whatman-41 cellulose filter media.  All of these
                                                                              (7)
samplers were essentially maintained and operated according to EPA procedures

mentioned  in the preceding section.  The project's hi-vol sampling schedule

was altered in August, 1978 so that one of the two weekly sampling runs would

always coincide with the State's once-every-six-day schedule.

     Several differences in the operation of the equipment are presented  here.

Instead of the standard Visi-float guages, each hi-vol was upgraded with  the

more accurate manometer system for determining flow.  The hi-vol orifice
                                    4-1

-------
manometer adapters were calibrated by passing a known quantity of air  (100




ft3) through the adapter and recording the elapsed time required for passage.




A Roots-Gonnersville positive, rotary dry gas meter was used to guage  the




volume of air.  A calibration curve was generated by operating the  system and




varying the number of filters in place to simulate an increase in flow




resistance.  The calibration curve for each hi-vol adapter was obtained  by




plotting flow  rate (CM) versus manometer readings on logarithmic paper.  The




resultant curve is described by the equation y = ax , where y = air volume




(CFM), x = manometer reading, a = intercept, and b = slope.  A total of  five




calibration points were obtained by operating the hi-vol motor (110 volts)




with 0,  1,  2,  3, and 4  filters  (Whatman-41) in place.  All flow rates  are then




corrected to standard conditions of temperature and pressure (STP).




      The manometer-equipped hi-vols had the following advantages over  their




rotameter counterparts:




           (1)  Worn brushes or  armatures could be replaced in the




               motors for  preventive maintenance in the  field with-




               out the  necessity of flow rate recalibration;




           (2)  A complete  motor could  be replaced without recali-




               bration;




           (3)  The manometer-equipped  adapters offer a more  reliable




               and accurate measurement of air flow through  the




               system.




 DIGHOTOMOUS SAMPLERS  (TEFLON  FILTERS)




      All six sites were equipped with  a dichotomous  sampler  in  order to




 obtain size classification data on  suspended particulates.   Thus,  each site




 had two  hi-vols  (one with glass  fiber  and  one with Whatman-41  filters) and






                                    4-2

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one dichotomous sampler, all spaced approximately 2-8 meters from each other




to minimize inter-sampler effects from pump and motor exhausts.  Site 4 was




not part of the State's hi-vol network system and was not equipped to produce




hi-vol glass fiber data.




     These dichotomous samplers  (manufactured by Environmental Research Corp.)




operate by removing particles larger than 3.5y, from the main airstream by




inertial separation.  Figures 3  and 4 show the inlet system and the main




features of the air flow internal to the dichotomous sampler.  The larger




particles are  directed into a region of relatively stagnant, low-flow air




which  is then  drawn through a filter, giving rise to the coarse particulate




fraction.  All remaining air containing the smaller particles is drawn




through a second  filter to give  rise to the fine particulate fraction.  One




should realize that the air flow directed to the coarse particulate filter




represents approximately 5% of the total inlet air flow and therefore contains




5% of  all fine particulates.  A  correction was made for the 5% fine parti-




culates deposited in  the coarse  particulate filter by use of the "uncontami-




nated" 95% fine particulate weight.




     The total volumetric  flow through the dichotomous sampler determines  the




cut point for  size  separation as well as the portion of fine particles




deposited on the  coarse filter.  It was originally intended that the samplers




would  operate  at  a  total flow rate of 50 1pm which would have resulted  in  a




50% cut point  at  3.5^,*.  When calibration was attempted, however,  it was




found  that the samplers could not achieve a 50  1pm flow rate when  using O.Sy,






*This  result is based on calculations using unit density, aerodynamic particle




diameters as determined by the manufacturer.
                                    4-3

-------
 cm
 Or

 2-

 4 •

 6 •

 8 •

10 •
  FLOW
                                             SHIELD
STILLING
CHAMBER
                            FLOW  TO (NCHOTOMOUS SAMPLER
          FIGURE 3.  BELL INLET SYSTEM
                        4-4

-------
                       SAMPLE FLOW
                           FROM
                      AEROSOL  INLET
                          INTAKE
 FIRST STAGE
 SEPARATION
   COARSE
  PARTICLE
    FLOW
  FINE
PARTICLE
  FLOW
SECOND STAGE
 SEPARATION
                  COARSE
                 PARTICLE
                  FILTER
      FINE
    PARTICLE
    /FILTER
          FIGURE 4.  DETAILS  OF DICHOTOMOUS SAMPLER
                           4-5

-------
teflon filters.  The highest flow rate that could be maintained was 35  1pm




which resulted in a 507. cutpoint at about 4p, as determined from the manu-




facturer's performance data.



     Each unit was equipped with rotometers for fine and coarse flow




adjustment and a vacuum gauge to measure the pressure at the fine flow




rotometer.  The fine flow rotometer and its pressure gauge were used  for




field measurement of flow and were calibrated using a wet test meter.   The




inlet head was removed from the sampler and tubing attached to the inlet of




the virtual imp actor head.  Air was drawn through the wet test meter  and into




the instrument.  It was not possible to measure the flow on the exhaust side




because of leaks in the carbon vane pump which was incorporated into  the




system.  The coarse flow rotometers were not calibrated but set at a  constant




value equivalent to 5% of the nominal total flow.  Because of the light




loading of the coarse filter and its low flow rate, it was assumed that




changes in the coarse flow would be small and would have a negligible effect




on the total flow.




     Even though the dichotomous samplers reject particles with diameters




greater than ISy, and, therefore, collect fewer particles, they are more




susceptible to filter overloading.  The teflon filters employed in this study




have a higher  initial pressure drop and lower particulate loading capacity




than either glass fiber or Whatman-41 filters.  Because frequent  filter




plugging occurred at the onset of this investigation, the filters were




switched  from  O.Sp, pore diameter to l.Oy, pore diameter to increase  the  flow




through the filter and yet  retain high capture efficiency.   However,  this




charge in porosity did not  result in  all subsequent  samples  having  elapsed




times of  24 hours.  Plugging of  filters  still occurred but  with reduced





                                    4-6

-------
frequency.  The dichotomous samples as delivered had no mechanism to detect

a low air flow condition caused by excessive particulate loadings.  The pump

and its timer would continue to operate even though the flow controllers

could no longer maintain the desired flow rate.  This situation resulted in

an inability to calculate the final total air volume.  The samplers were,

therefore, modified so that operation of the pump and timer would cease if

the flow rate through the fine particulate filters dropped below 90% of the

preset value.  This modification was accomplished by monitoring the pressure  drop

in the inlet above the filter with a pressure transducer set to terminate

power when  the inlet pressure drop indicated a decreasing flow condition.

The preset  value  was obtained from calibration data for flow rate versus
                                               »
pressure  data  and was selected to permit a maximum 10% decrease in the flow

rate.  Thus, the  data represented by a  filter which was beginning to plug

could  be  saved by terminating any  further operation.  A valid air volume and

particulate concentration  could then be computed.  It is possible that all six

 sites  operated for  14 hours  on a given  date.  The trace metal data contained

 in  such  samples can  be  invaluable  but would otherwise  have been  lost.

      Because of the  low temperatures encountered in the Buffalo area during

 the winter  months, problems  were anticipated  for operation of the dichotomous

 sampler pumps.  These pumps, unlike hi-vol motors, consist of high  tolerance

carbon vanes which were  not  designed  for such extreme temperature conditions.

It  was expected that moisture and  low temperatures could  cause  the  vanes  to

 freeze solid.  Upon  start-up, it is conceivable that  the  pump motors  could

then  burn out  from excessive power consumption  or  the pump could  spin freely

with  the  vanes frozen in the retracted  position.  To  circumvent this  problem,

a 100  watt  thermostated  heating tape  was attached  around  the  pump head assembly.


                                   4-7

-------
The tape supplied heat to the carbon vanes whenever the air temperature


dropped below 35°F.  The wiring was performed in such a manner that electrical


power to the heating tape was interrupted whenever the sampler was operating


and was re-supplied when the sampler had ceased operation.  This heating


scheme was judged a success since only one pump had failed during the entire


project.


GCA AIR PARTICULATE MONITOR (APM)


     The APM was provided for our use on this study through the courtesy of


GGA Corporation for the automatic and continuous monitoring of the concentra- _


tion of ambient air particulates.  Particulate matter is divided into fine


and total particle fractions by a cyclonic device and is collected on a tape


filter  from a known volume of air.  The resultant attenuation of low energy


beta radiation by  the particulates is converted into suspended particulate

                         3
concentration units (y,g/m ).  This entire system was pre-calibrated by the


manufacturer.


     The APM was installed at Site 5 on June  28, 1978 for  an approximate


6-week period.  Since this equipment was  somewhat cumbersome, Site  5 was


selected for the installation because of  its  relative ease of access and  its


proximity  to heavy industrial operations.  The  instrument  parameters were


selected to provide hourly suspended particulate data on  a 24-hour  basis,


seven days per week.  Data was only obtained  at Site 5  over  this  6-week period,


It was  thought to  be  of less value to gather  a  little data at each of  the


 six sites  since only  one  instrument was available.  The objective  here was


 to monitor and establish the diurnal variations  in  suspended particulate


 concentrations.   Operations  involving  the APM ceased  on September 7,  1978 and


 the equipment  was  returned  to  the manufacturer at  that  time.



                                    4-8

-------
                                  SECTION 5




                             LABORATORY ANALYSES






SUSPENDED PARTICULATE WEIGHTS




Whatman-41 Filters




     Whatman-41 cellulose filters were chosen for use in the high-volume air




samplers in order to facilitate x-ray fluorescence analysis.  Although these




filters have been found to be satisfactory for use in hi-vols, their use




greatly complicates weight measurements.  The cellulose fibers readily sorb/




desorb water with a consequent change in weight for which a correction must be




made.  A previous study (6) found the filter weight to change linearly and




reproducibly with relative humidity in the 35-55% range.  Comparable results




were obtained in this study when the RH was changed slowly in small stages.




The weight change was found to average 7.7 mg per 17, increment in RH.  Further




studies indicated that the history of the filter affected any subsequent equil-




ibration attempts with water vapor.  All filters in this study were equilibrated




for 24 hours in an enclosed chamber which was maintained at 21 + 1°C




(52-60% RH); weighings were conducted to the nearest 0.1 mg.  Although the




corrective weight term only approximated a first-order attempt, project data




demonstrated sufficient accuracy in this approach for our purposes.




Millipore Fluoropore Filters




     Fluoropore filters consist of teflon bonded to high density polyethylene




netting.  The filter weights do not^change appreciably with R H  and the filters




equilibrate rapidly.  These filter media were stored before weighing at 21 + 1°C




                                     5-1

-------
and 52-60% RH in order to achieve accurate weights and to minimize static




charge.  During weighing, the filter samples were exposed to p-radiation from




a 10 me Kr85 source to eliminate any residual static charge.  Weights of these




filters were measured on a microbalance to a accuracy of + 2 us and were not




corrected for relative humidity.




X-RAY FLUORESCENCE ANALYSIS




     Energy dispersive x-ray fluorescence was used to analyze all of the fine




and coarse particulate filters of the dichotomous samplers.   The xrf equipment




consisted of a Siemens Kristalloflex 4 x-ray generator and a Siemens VRS Vacuum




X-ray Spectrometer with a ten sample tray and automatic sample changer.  A




lithium-drifted silicon detector (United Scientific Spectrace Model 105-42) was




used with a Nuclear Semiconductor Model 513 amplifier and the data was processed




on a Tracor Northern TN 2000 X-Ray Analyzer.  All initial and final data were




stored on floppy disks.




     The TN 2000 software included a package (Super ML) which allows for back-




ground correction and the deconvolution of overlapping x-ray spectra..This




system permits the simultaneous quantitative analysis of several elements, even




when their spectra overlap.  Input into the program consists of element peak




shapes generated from pure samples, and calibration curve slopes and intercepts.




     Each sample was analyzed twice, once for the transition metals (vanadium,




chromium, manganese, iron, nickel, and zinc) and again for the other elements




(calcium, silicon, sulfur, aluminum, lead, and bromine)-  The transition metals




were analyzed with an aluminum filter inserted over the x-ray tube to reduce




spectral lines inherent from the geometry of the equipment and to enhance the




analytical sensitivity toward these metals.  No filter was used in the analysis




for bromine, lead, and the lighter elements.  Semiquantitative data were also




obtained and stored for titanium, cobalt, and copper; these  metals were not



                                    5-2

-------
of immediate concern and, therefore, calibration factors are not currently

available.

     The majority of the quantitative xrf calibration standards were prepared

in this laboratory by aerosol generation.  The procedure involved the deposition

of aerosols of the desired elements onto 142 mm filters.  Several deposition

times were used to produce a graded series of loadings.  Smaller samples were

cut from each large filter and analyzed setniquantitatively by xrf techniques.

One sample in each concentration range was analyzed by the New York State

Department of Health (typically by atomic absorption spectroscopy) to produce

a calibration curve for that metal.  The calibration curves were generated from

the least-squares straight line of the data and forced through the zero intercept.

The remaining filters for that metal were then normalized to this resultant

curve.

     Detection limits were calculated in Table 3  from the formula D.L. = 2m/CB>

where m is the slope (micrograms/sq. centimeter/pulse count) of the calibration

curve and Cg is the background pulse count.

                       TABLE  3.  XRF DETECTION LIMITS

ELEMENT LINE
Mv «
•^Qffl
Q • -rr
L^fi
K^yQ
f^a V
^*fyfl
V Kg'
Cr K£
Mn Ka
Fe KQ,
Ni K^
Zn KQ,
Br KQ,
Pb Lo
DETECTION
pg/Cm2
1.40
1.50
0.09
0.02
0.02
0.01
0.01
0.01
0.02
0.03
0.33
0.15
LIMITS
ng/m3 *
600
650
40
10
10
5
5
5
10
15
145
65
            ^Approximate airborne concentration detection limits
             when based on a 37 cubic meter average air volume.

                                     5-3

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     Energy calibration of the multichannel analyzer system was performed daily




using a titanium-zirconium standard.  All xrf spectra of all filter samples




were accumulated for 200 sec under vacuum over the energy range 0 to 20 Kev.




The xrf tube (molybdenum) was operated at 35 Kv and 10 ma without an aluminum




xrf filter for the analysis of the non-transition elements.  When the aluminum




filter was employed in the analysis of the transition metals, the current was




increased to 16 ma.  A coarse collimator was used for all analyses.




ION CHROMATOGRAPHY




     Ion chromatography was used to analyze aqueous extracts of both the dichot-




omous  fine and coarse particulate filters after these filters had already been




analyzed by xrf spectroscopy.  The apparatus consisted of a Dionex Model 10




Ion Chromatograph which was interfaced to a second similar unit that had been




constructed in this laboratory.  Sample loops and a splitting valve allowed for




simultaneous sample injection into each of the two units.  The Dionex unit was




equipped with analytical and suppressor columns for anion analysis while the




second unit was equipped for cation analysis.  This system permitted the simul-




taneous analysis of anions  (fluoride, chloride, bromide, nitrite, nitrate,




phosphate and sulfate) and cations (sodium, potassium and ammonium) in a single




sample.




     Samples were extracted on a shaker table for 24 hrs. with 25 ml of distilled




deionized water.  The extracts were loaded into a Technicon Sampler IV from




which  they were drawn through the rotary injection valve by a small pump. Sample




injection was pneumatically activated by a pre-programmed integrator.




     Output of the conductivity meter was recorded graphically and simultaneously




analyzed with an integrator  (Columbia Scientific Industries Supergrator 3).




Quantitative data was obtained by comparison of sample peak heights to the peak






                                     5-4

-------
heights of standards.  Calibration standards were prepared gravimetrically from

analytical reagent grade chemicals and were processed after every 10 samples to

provide a system check.

     The anion chromatography system consisted of a 3 x 150 mm precolumn, a

3 x 500 mm separator column and a 6 x 250 mm suppressor column.  The eluent

was a aqueous NaC03 - NaHCOg buffer and the suppressor regenerent was dilute

I^SO^..  The cation chroma to graphic system consisted of a 3 x 150 mm precolumn,

a 6 x 250 mm separator column and a 9 x 250 mm suppressor column.  The cation

eluent was dilute HN03 and the suppressor regenerent was dilute NaOH.

SCANNING ELECTRON MICROSCOPY AND ELECTRON MICROCROPROBE ANALYSIS

     The xrf analysis of the dichotomous filters provides much information about

the total particulate composition but provides little direct information on the

composition of individual particles.  Knowledge of the physical and chemical

characteristics of individual particles is more useful in defining source
                                                                           •
categories than are the xrf properties.  Therefore, individual particles were

analyzed by scanning electron microscopy and electron microprobe analysis.

Instrumentation consisted of a Coates and Welter field emission scanning electron

microscope interfaced with a Princeton Gammatech energy dispersive x-ray analyzer.

     In order to obtain an extremely flat field and a sample of particulates

with good spacial separation, a special sample collection was conducted.  The

samples were collected by dichotomous samplers using Nucleopore filters

(1 micron diameter pore size, 1 x 10  pores/cm^).  The field run was conducted

for a period of six hours on January 25, 1979 from 9:00 a.m. to 3:00 p.m.

Portions of the fine and coarse particulate filters exposed at Sites 5 and 6

were coated with carbon and examined by sem and by electron microprobe analysis

using energy dispersive x-ray spectroscopy.  About 25 particles on each filter


                                       5-5

-------
were selected at random to represent various  size  and  shape  categories.   For




each particle, the beam was placed on the  area  of  interest and  counts above




background for each of the elements of interest were recorded.
                                      5-6

-------
                                  SECTION 6

                         SUSPENDED PARTICULATE DATA


WHATMAN-41 HI-VOL DATA

     With the exception of Site 4, each of the sampling sites which were used

in this study were also maintained by New York State as hi-vol air sampling

stations using glass fiber filters.  A summary and comparison of this data

appears in Table 4 and are shown graphically in Figure 5.

                            Whatman-41   Glass Fiber     Ratio
                  No. of    Average SP   Average TSP   Ave. TSP/
           Site   Samples     Q-ig/m3)       (|ig/m3)     Ave. SP
1
2
3
5
6
42
38
45
103
40
76.62
76.21
68.93
100.54
45.92
98.10
92.10
82.67
126.37
37.22
1.28
1.20
1.20
1.26
.81
                                   TABLE 4

             STATISTICAL CHARACTERISTICS OF HI-VOL MEASUREMENTS
               USING WHATMAN-41 AND GLASS FIBER FILTER MEDIA

It is evident from the ratio data in Table 4 that the urban sites (1,2,3, and 5)

differ markedly from the rural background station (Site 6).  Application of a

test for homogeneity of variance indicated that the urban site data could be

grouped for subsequent regression analysis but that the background site could

not be so grouped.

     Linear regression analysis of the urban data yields the least squares line:

                              Y = 1.34 + 1.22X

where:  Y = TSP concentration using glass fiber filters
        X =  SP concentration using Whatman-41 filters

                                     6-1

-------
   380



   360



   340



   320



   300



   280



   260



_  240
(O
 £

 o»  220
oo  200
I—

ct
ijj  180
CD
u.

oo  160
CO
   140



   120



   100



   80



   60



   40



   20
                                   •  •
                               •• • • *
                              *    •
                                • •
                            ^
                                                       to I line
                                             Site 6  data is circled
     °   2°  4°   60   80  ,00   120  140  160 '  ,80  20O  220  240  260   280 ' 30O

                           WHATMAN-41  SP(ug/m3)


   Figure 5.  RELATIONSHIP OF SUSPENDED  PARTICIPATE CONCENTRATION

             USING GLASS FIBER AND WHATMAN - 41  FILTER MEDIA

                                    6-2

-------
The correlation coefficient of .91 and corresponding R.2 value of .83 are




indicative of a very good linear fit explaining some 83% of the variation




inherent in the data. Because the intercept value 1.34 is comparatively low,




forcing the regression line through the origin produces very little change in




the final results.  The resulting equation is:




                                  Y = 1.24X




where Y and X are as above.  The correlation coefficient and R2 value did not




change significantly from the least squares result.  This latter equation




indicates that on the average, glass fiber filter media at the urban sites




will lead to concentrations of TSP about 24% greater than that resulting from




the use of Whatman-41 filters.




     Separate regression of the Site 6 data yielded the least squares line:




                               Y = .91X - 4.63




where X and Y are as above.  The fit is also quite good as indicated by its




correlation coefficient of .91 and R2 value of .84.  Forcing this line through




the origin results in the equation:




                                  Y = .83X




with no significant reduction in the correlation coefficient or R2 value.




Site 6 data in Figure 5 is circled to show that most of it lies below the




1:1 line within a region bounded by 100 |j.g/m3.  This observation contrasts




with the urban data within this graphical region as indicated by the ratio




data in Table 4.  The regression equation for Site 6 indicates that hi-vols




equipped with Whatman-41 cellulose filters collect 17% more particulates at




the rural station than hi-vols employing glass fiber filters.  These analytical




results are provided here so that one may relate the Whatman-41 data in the




project in terms of standard glass fiber data.
                                     6-3

-------
     Whatman-41 suspended particulate (SP) averages are shown in Figures 6 and




7.  It should be noted that all averages in this report are arithmetic unless




otherwise stated.  Figure 6 illustrates the means of the monthly SP averages




among the six sites, together with the maximum and minimum month averages.




Figure 7 compares the means of the average urban monthly SP values observed at




Sites 1-5 and similar monthly data from the rural station (Site 6).




     In Figure 6 the urban averages fall into two categories: Sites 1,2, and




3 (Buffalo) and Sites 4 and 5 (Lackawanna).  The SP data at the Lackawanna




sites is approximately 30% greater than the SP data at the Buffalo sites. These




large differences are certainly due to local effects since the urban sites are




located over an aerial distance of only 3.5 miles.  In contrast to the urban




sites, the SP loadings observed at Site 6 are considerably lower.  All sites




have maximum monthly averages which are 2-3 times the respective minimum




monthly averages.  In Figure 7 the maximum monthly average for all sites




occurred in May.  The'minimum for all sites occurred in September, except Site




3 where it occurs in January.  The month-to-month variations (Figure 7) for a




composite of the urban sites (1-5) are compared against the rural site data.




The  two traces  follow each other fairly well with a deviation noted in December




when the urban  SP remains high while the background value drops sharply.  This




SP difference is not readily explainable at this time although it may somehow



be related to the "lake" effect.




     The effects of Lake Erie on TSP measured in the Buffalo-Lackawanna area




have been studied.  Anderson (8,9) developed a mathematical model for predicting




monthly TSP arithmetic averages at Site 5.  The model included a term containing




the  lake temperature minus the land temperature (AT), a parameter for steel



production (P), and a constant.  His equation is:




                   TSP(ng/m3) = p(0-20 + 0.0123 A T) + 76




                                     6-4

-------
    150-
—  100-
ro

>^
 o>
 0,


0.
en
     50-
<   HIGHEST MONTH AVG.



••  TOTAL AVG.



«,  LOWEST MONTH MQ.
            12345                    6


                                 SITE  NO.




             FIGURE 6.  WHATMAN-41 SP - MONTHLY AVERAGES AND EXTREMES
                                         6-5

-------
  100-
ro
 e
 \
 en
 3,
 Q.
 CD
    50
         MAR
                URBAN SITES AVERAGES
                                     RURAL SITES AVERAGES
JUN .       SEP
      1978
DEC        MAR
        1979
      FIGURE  7.   WHATMAN-41 SP - MONTHLY VARIATIONS
                            6-6

-------
According to the model, the relatively cold lake water chills the lower atmo-




sphere in the spring, stabilizes it, and thereby prevents good mixing of




emissions.  The TSP therefore is expected to be elevated in March, April and




May.  In the fall when the water is still warm, the lake heats and humidifies




the lower atmosphere and generates instability and turbulence.  The resultant




mixing and dispersion of particulate emissions causes the decrease in TSP for




October, November, and December.  This trend assumes that steel production does




not vary significantly.  The model predicts that steel production will have a




much greater effect on the observed TSP during the warm months than during the




cold months.  The model predicts that TSP will be independent of steel pro-




duction if A T = -16°F and that TSP will decrease with increased steel produc-




tion if A T < -16°F.  Such predictions begin to show the limitations of the




model.  However, such conditions for A T occur infrequently and are expected




to have a minor effect on the model's fit to the observed data.  If the factor




for steel production in the model equation is set equal to zero, the resulting




TSP value is 76 (ig/m^ (arithmetic average or 68 ng/mP geometric average).




     The data collected within this project has an overall annual pattern




which is consistent with the model although no quantitative checks were made.




While it is obvious that steel production should affect TSP and reasonable




that the lake have an effect, the background TSP concentration of 76 ng/ra"* is




more difficult to rationalize.  This value must be looked upon as a "background"




which is not affected by atmospheric turbulence or steel production.  The




value of 76 |ig/m^ appears too high when considering the TSP data in Figure 7




for the background site.
                                    6-7

-------
DICHOTOMOUS SAMPLER DATA

     The main reason for employing dichotomous samplers in this study was to

obtain chemical composition data for two size fractions of particulates.

Various emission sources, both natural and anthropogenic,  have characteristic

particle size distributions and chemical compositions which can aid in deter-

mining their respective contributions to the overall particulate burden.  This

section is concerned with the dichotomous sampler data from a gravimetric

standpoint only, while a later section will consider the composition of the

particulates which is distributed between the fractions.

     Table 5 summarizes the dichotomous sampler data for each of the six sites.

Probably the most important aspect of this data is the ratio of the fine particle

weight to the total particle weight.  This ratio is a function of:

      (a) the fine to coarse particle cut point of the dichotomous sampler;

      (b) the upper particle size exclusion limit of the dichotomous sampler; and

      (c) the size distribution of the particulates in the air being sampled.


            TABLE 5.  SITE DATA SUMMARY FROM DICHOTOMOUS SAMPLERS


                                                     Site #
                No. Samples              54     46     70    64    66    68
                Fine  Og/m3)             41     42     34    44    47    24
                Coarse  Gig/m3)           20     22     19    26    27     9
                Total  Gag/m3)            61     64     53    70    74    33

                Fine/Total  (%)           68     66     65    63    64    73

                No. Samples              28     23     33    27    24    45
                Total  (Dichotomous)*     .76     .67     .69    .74    .78    .67
                Hi-Vol  (Whatman-41)

      *The  data  base which was used in this ratio was comprised of  dichotomous
       sampler runs which spanned  23-24 hour elapsed time to  be consistent
       with the  hi-vol  data.
                                     6-8

-------
Assuming the effects of (a) and (b) to be relatively constant and equal for all




six samplers, changes in the weight ratio (fine/total, F/T) will indicate changes




in the particle size distribution of the measured air mass.




     Plots of this ratio with respect to the time of year are shown in Figure 8




(Site 3) and Figure 9 (Site 6).  The two plots are surprisingly similar even




though they represent urban and rural stations.  The fine/total particle




percentage rises slowly and erratically until late February at both sites, after




which it drops sharply.  The slopes of the least squares straight line through




each set of data (until mid-March) differ by less than 10% and the day-to-day




variations are fairly similar.  Because these sites are located far from each




other (approximately 16 miles) and in vastly different environments (urban




versus rural), it becomes obvious that a major component of the fine/total




particle percentage affects both the urban and background sites with similar




intensity.  The minima which occur in March appear to be associated with




decreases in sulfate and ammonium concentrations.  This decrease in F/T in March




also coincides with the spring thaw.  A decrease in the production of fine




particles resulting from less combustion of heating fuels may begin to be




realized at this time of year.  This effect may begin to be coupled with higher




winds and an increased entrainment of larger particles to dramatically change




the F/T ratio.  Site-to-site variations (Table 5) in F/T are small at the urban




sites; and the urban site values are significantly lower than background




(Site 6).  Since the coarse particle components arising from vehicular reentrain-




ment and industrial activities are much lower at Site 6 relative to the urban




sites, the F/T ratio at Site 6 is larger.




     The ratios of total dichotomous to Whatman-41 suspended particulates are




shown on the sixth line of Table 5.  There are no distinct site-to-site




variations.   The data do indicate, however, that one-quarter to one-third of




                                     6-9

-------
       1 0 -
I
I—1
o
      09 -
      0.8 -
      0.7 -
      06 -
      O5 -
     0.4 -
               SEP
OCT       I      NOV
DEC    |     JAN    |     FEB      |     MAR
                          FIGURE 8.   SITE 3 RATIOS  OF PARTICULATE WEIGHTS  (FINE/TOTAL)

-------
 1.0 -
0.9 -
0.8 -
O.7 -
0.6 -
0.5 -
0.4 -
        SEP   I      OCT       I       NOV     I     DEC     I     JAN    I      FEB      I    MAR
                 FIGURE 9.   SITE 6 RATIOS OF PARTICULATE WEIGHTS  (FINE/TOTAL)

-------
the suspended particulates  collected by the hi-vols is not collected by the




dichotomous samplers.   The  particulates which are not collected by dichotomous




samplers most likely represent that fraction of the coarse particulates with




particle diameters above the exclusion limit of the dichotomous sampler but




below that of the hi-vols.   Thus,  only 40-60% of the total coarse particulate




fraction is actually collected by  the dichotomous samplers.   Therefore, the




contribution of coarse particles to the hi-vol SP or TSP could be considerably




greater than is indicated by the dichotomous sampler data.




     A high percentage of fine particles observed at all six sites appear to be




transported into the Erie County area, predominantly from the southwest from




across Lake Erie.  The pollution roses for FSP concentrations at each site are




presented in Figure 10.  The solid lines show the average FSP values together




with their standard deviations. The dotted lines represent  dosage roses,  which




are actually frequency plots of pollution rose data which was normalized to




100%.  For all sites the fine particles predominantly arrive from the south-




west quadrant, accounting for approximately three-quarters (68-77%) of all the




observed FSP.  This data was obtained from a wind sector analysis approach




which was extended to each measured chemical variable in this study.




     Further interpretation of Site 6 data shows that a summation of the




project's average values of the sulfate, nitrate, and ammonium components  from




Appendix A accounts for almost one-half (45%) of the observed average FSP.  It




does not seem likely that much of  these materials (sulfate,  nitrate, and




ammonium) could arise from the beach proper, which is located approximately




one-quarter mile southwest of Site 6.  Particulate material  from the beach




would be expected to contribute to the coarse particle fraction, as opposed to




the fine particle fraction, and would not be expected to contain sulfate,




nitrate, and ammonium at the levels observed in the FSP samples.  It is more



                                    6-12

-------
                   SITE I
                                                 SITE 4
                   SITE 2
                     a*
                    SITE 3
                                 WE  w tTg* •
                                                 SITE 6
Figure  10.  POLLUTION AND DOSAGE  ROSES FOR FSP


                        6-13

-------
reasonable to assume that the FSP component at Site 6 arrives from the west of




New York State.  Since the average FSP at Site 6 in Table 5 is about one-half




that observed at the urban sites, then one could expect that 257=, of the




observed urban FSP is comprised of sulfates, ammonium, and nitrate components




necessarily produced outside of New York State.




     With such an interpretation it must be remembered that the background or




incoming FSP, its absolute value and chemical composition, must be expected to




overlay that FSP which is produced locally in the Erie County area.  However,




such an extrapolation to the CSP fraction (Figure 11) is not so readily made




since transport over short distances may not be as uniform as for fine




particles.  In other words, the CSP fraction observed at Site 6 may bear




little relation to that observed at the urban sites in regard to the CSP




absolute value or its chemical composition.




GCA AMBIENT PARTICIPATE MONITOR  (APM) DATA




     The APM was programmed to measure suspended particulates in one hour




intervals to permit the measurement of diurnal variations.  The data in




Figure 12 presents the wind rose for the APM data which was collected during




an eighteen day period during July-August, 1978.  Such data was only available




from Site 5 since use of the instrument was limited.




     The compass has been divided into 18 sectors of 20° each; the average




suspended particulate concentrations for those hours in which the wind was




from that sector is plotted radially.  Although Figure 12 shows that the




southwest quadrant possesses the strongest input of particulates, it is the




dosage rose in Figure 13 which more effectively displays the vector strengths




when combined with frequency of  occurrence.  The dosage rose data is obtained




by multiplying the average suspended particulate concentration  (pollution







                                    6-14

-------
         SITE <
                                      flTC t
FIGURE 11.  POLLUTION AND DOSAGE ROSES  FOR CSP
                       6-15

-------
           330
      320
       220
            210
                                                30
2OO   190   WO   170   16O
150
                                   140
FIGURE 12.  WIND ROSE  FOR APM SUSPENDED PARTICULATES  AT SITE 5
                              6-16

-------
                                 N
      320      330    340    350   0     10    20     30
     310
    230
    220
40
                                                            140
              210    200    190    180   170   160     150
FIGURE 13.  DOSAGE ROSE FOR APM SUSPENDED PARTICULATES  AT SITE 5
                                 6-17

-------
3-

i/>
    120-



    110-



    100



     90
o   80
o
T3
O>
T3
Q_
<
70



60



50



40



30



 20
        t
                  6         12        18

                      Hour of Day
                                        24
    FIGURE 14.   DIURNAL VARIATION OF SUSPENDED PARTICULATES
                              6-18

-------
rose data) for each wind sector by the number of occurrences of wind arising




from that sector and dividing this value by the sum  of all values from all




the sectors.




     The diurnal variation of suspended particulates is presented in Figure 14.




From 0500 hours to 1900 hours, the suspended particulate concentration rises




sharply and steadily and then drops precipitately until 2400 hours.   A sub-




sequent rise occurs until the daily low is registered between 0400 and 0500




hours.  This data would at first suggest an increase in local particulate




production throughout the day.  However, in view of the data presented in




Figure 15, the previous fact would not be the major reason for the observed




diurnal variation.  In fact, it appears that the "lake effect" strongly




influences the observed profile (Figure 15).  Late at night and early in the




morning,  land breezes tend to proceed toward the lake where warmer air is




rising.   Throughout the day the land heats up and reaches a peak in  the late




afternoon.  The air rising above the land is now met by cooler breezes




approaching more from the west from Lake Erie.  The hourly wind direction has




been observed to rotate clockwise through 360° and results in a more complex




picture for the interpretation of suspended particulate sources.  The strong




resemblance of Figures 14 and 15 suggests that most of the diurnal variation




of suspended particulates can be explained by changes in wind direction and




the unique source-sampler geometry present at Site 5.  Since most of this APM




data was obtained in July 1978, it is normal at this time of year for wind to




arrive predominantly from the southwest.  Such patterns may shift during other




portions of the year.




     Since the APM sampler is sufficiently different from hi-vol sampler




operation, the following information is intended to briefly describe the






                                    6-19

-------
    80
(VJ
 •   70
(VJ
    60
     50
.£
•o
 r
 o
     20
     10
                 6        12        18
                     Hour of Day
24
     FIGURE 15.   SOUTHWEST WINDS VS. TIME OF DAY
                         6-20

-------
   150-
E
o>
T  100-
£
Ji
3

 a>
 a.
 U)
 en
50
                     Least Squares Straight Line
            	1M Ratio Line
                  50              100
                      Whatrnan-41 Hi-Vol   SP
                                                       150
200
                FIGURE 16.  COMPARISON OF APM SP TO HI-VOL  SP
                                      6-21

-------
relationship of their resultant data.   It would not be expected that each




instrument would measure the particulate air mass in precisely the same manner.




The data in Figure 16 permits a comparison to be made between hi-vol




(Whatman-41) and APM data.   The APM hourly values of suspended particulate




concentrations are summed and plotted  against the hi-vol SP value for the




same 24-hour period.  In every case the APM values are lower than the hi-vol




values (dotted line represents one-to-one correspondence).   The solid line is




the least-squares straight  line fit to the data.   Although  the correlation




coefficient for fit (R^) is only 0.70, the intercept of the line is  very good.




The low R2 value could be due to the small data set and the compounding of




errors in both measurements.
                                   6-22

-------
                                  SECTION 7




                       PARTICULATE SULFUR AND SULFATE






     Early project data had indicated that sulfur-containing particulates form




a significant percentage of the total particulate aerosol in the Niagara Frontier




Air Quality Control Region.  The following dichotomous sampler data is presented




to define these site-to-site concentrations and variations.




     The data in Figure 17 was obtained from the analysis of approximately 720




air filter samples which were collected over an eight month period.  Total




sulfate from the combination of fine and coarse particulate fractions is




expressed as monthly averages.  Although annual data is lacking here, the sul-




fate pattern appears consistent with the general contention that sulfate con-




centrations are higher during the summer period and lowest during the winter




months.  The data for total sulfate in Table 6 presents the maxima, minima, and




arithmetic averages which were found for each site throughout the course of this




investigation.




          TABLE 6.  TOTAL SULFATE FROM DICHOTOMOUS SAMPLERS 0-ig/m3)




                       August 1978 through March 1979




                                          Site No.
Maximum
Minimum
Arith. Avg.
1
51.0
1.0
12.1
2
33.8
0.8
11.8
3
57.1*
0.8
10.2
4
71.4
0.8
12.2
5
68.5
1.0
12.1
6
44.3
1.1
7.9
               *Represents Fine Particle Fraction Only.
                                    7-1

-------
   Siti
                                     Sift 4
50-


40-
                                   50-
20-


10-


 0
    ASONDJFM
                                         ASONDJFM
   Site 2
   50-

   40
o

i30
 S20-

   10-
                                       SiteS
                                  50-
     i    i   i    i    i    i    i   i
     ASONOJFM
                                         i
                                         A
               L   I    I    I       I    '
               S   0   N   D   J   F   M
   Sitt3
50-


40-
10-
       '    I    I    I   I    I
       A   S    0    N   D   J
                                       Site6
                                     50-
F   M
A   S   0  N   D   J   F
                                                                  i
                                                                  M
    FIGURE 17.  TOTAL SULFATE  -  MONTHLY AVERAGES  PER SITE (ng/m3)
                                 7-2

-------
The minimum sulfate concentrations at each site are fairly constant at 1

while the mean of the urban arithmetic averages is 11.7 iig/m^.  However, the
                                                                                 o
mean sulfate concentration at Site 6 exhibits  a slightly lower value of 7.9 ng/m .

The singular high sulfate values observed in Table 6 may be associated with

particular weather patterns and/or higher than normal particulate loadings and

are presented to simply illustrate the high concentrations which were obtained

under actual field conditions.

     The monthly averages per site for suspended particulates are presented in

Figure 18.  Trends are displayed for the fine, coarse, and inhalable particulate

(fine plus coarse) fractions.  A comparison of the sulfate data in Figure 17

with the FSP data in Figure 18 exhibits very good correlation.  Upon consider-

ation of the findings in Section 6, it is concluded that a significant percentage

of  fine particulates arrives from the west from outside of New York State.  It

is  similarly concluded that most (> 75%) of the sulfate material which enters

New York State arises from the west beyond Lake Erie.  Although the data in

Table 6 for Site 6 indicates an annual mean of 7.9 i-ig/m^ for sulfate, this value

is  3.8 (ig/m3 lower than the mean value observed for the urban sites.  It is

possible that this enhancement of observed sulfate levels at the urban sites

may arise from local emission sources within the Buffalo-Lackawanna area.  This

increase in sulfate represents almost 33% of the observed total sulfate concen-

trations.  It is difficult to explain this sulfate increase with regard to the

industrial processes which are located between Lake Erie and the line of field

stations.

     Additional data in Figure 19 supports the conclusion that much (50-99%) of

the sulfur in the particulate aerosol exists in the form of sulfate.  In general,

all sites exhibit a decline in the sulfate/sulfur percentage during the colder

months.   The decline in this ratio may be associated with the increased usage

                                    7-3

-------
       Sit*1
                                          Srtt4
10
  100-

   80-

6  60

   40

   20
                                       100
     0«-r
10
  120-

  100-

   80-

   60-

   40

   20

    0
        ASONDJFM       ASONDJ
       Site 2                               Sit* 5

                                       120-1
        ~~l~l    I   T   I    I    1    I
        ASONDJFM
                                          ~lIIIIT
                                           A    S    0    N    0   J
F   M
       Site3
                                         Sit* 6
   100-
    80-

    «°-
    «0:
    20
                                      100

                            I   I   T~

         ASONDJFM
                                           A   S   6   N
Ti
        FIGURE  18.   DICHOTOMOUS  SAMPLER SUSPENDED PARTICULATES  -
                     MONTHLY AVERAGES PER SITE (|ig/m3)
                                    7-4

-------
      Site 1
                                         Site 4
  100-


   80-



o" 60-
V)

$•  40-



   20-



    0
                                      100
                                       OH-
       ASONOJFM       ASONDJFM
      Site 2
                                         SlteS
  100-


   80-




-------
of heating fuels and the increased generation of particulates which  contain




forms of sulfur other than sulfate.  The data which is presented  in  Figure 20




represents fine particulate sulfate which is expressed as a percentage of IP.




Fine particulate sulfate is considered here since less than 3% of the total




sulfate was ever found to reside in the coarse particulate fraction.  The




general trends exhibited in Figure 20 show the sulfate percentages to be fairly




constant at all six sites throughout the specified eight months.  The mean




overall sulfate percentage is approximately 1870.   From this data  it appears




that the sulfate component of IP (or TSP) is not  significantly affected among




the urban sites by heavy industrial operations or heavy vehicular activities.




Even the background Site 6 curve is very similar  to  the urban site data.   Such




behavior for the sulfate component is more consistent  with the long range




transport of sulfates into New York State from the predominantly southwesterly




winds.
                                   7-6

-------
Site 1
Site 4
100-
80-
0*" 60-
co
84 40-
20-
0

100-
80-
0 60-
w
^ 40-
20-
0

100-
80-
O 60-
w
84 40-
20-
0
100-
•
•
•





^- • *-~ —~
ASONDJFM "ASONDJFM
Site 2
•wo-
-
•

SiteS





ASONDJFM ASONDJFM
Site 3
WO-
•
•
•

Site 6



^-^

ASONDJFM "ASONDJFM
    FIGURE 20.  FINE PARTICLE  SULFATE AS A PERCENT  OF IP
                             7-7

-------
                                  SECTION 8




                 CHEMICAL COMPONENTS - GENERAL OBSERVATIONS






INTRODUCTION




     Data in this section will be presented for the various chemical components




which were found to occur in the particulate samples as  determined by xrf and




ion chroma tographic methods.  The discussion of all components~wi11 be limited




to overall observations and generalizations.  However, more detailed information




concerning suspended particulates and sulfates can be found in Sections 6 and




7, respectively.




     Average concentrations of the chemical components which were observed from




the overall project are shown in Table 7.  These values  represent the averages




for total dichotomous suspended particulates, where initially the individual




fine and coarse measurements for each component were summed.  Additional infor-




mation contained in Table 8 represents for each component the percentages of




their mean total concentrations which are found in the  fine particulate fraction.




For example, 81% of the lead at Site 1 was observed in  the fine particle




fraction.  In fact, at all six sites lead is found predominantly in the fine




fraction, urban and rural sites being similar.  In contrast to lead, only 15-20%




of calcium is represented by fine particles at each of  the six sites.  The large




differences which are observed for the various chemical  components in their




degree of distribution between the two size fractions (fine and coarse) permits




one to distinguish among the sources of such materials.   The lead particles are




mainly fine material and are consistent with automotive-type particle emissions,




                                     8-1

-------
TABLE 7.  AVERAGE VALUES OF CHEMICAL SPECIES FOR
          TOTAL DICHOTOMOUS SUSPENDED PARTICULATES

                  DICHOTOMOUS TOTAL (ng/m3)
Site No.
SPECIE
Pb
Br
Zn
Ni
Fe
Mn
Cr
V
Ca
S
Si
Al
F"
ci-
Br-
N02~
N03-
804=
1
844
1130
191
12
1848
57
3
19
2170
5794
7017
1566
46
287
58
276
2162
12968
2
821
988
67
11
2453
89
3
13
2521
5577
7307
1523
52
315
96
374
2273
11940
3
472
813
58
9
1815
49
2
11
2153
5013
6128
1274
61
295
52
213
1195
11240
4
860
829
138
11
4057
115
4
12
4032
5992
6515
1448
88
603
79
237
1732
12758
5
943
845
146
12
4824
104
3
15
4089
5653
6063
1505
123
745
58
320
1603
12126
6
235
272
22
7
446
15
1
7
466
3590
4601
1039
59
102
21
185
600
8306
Na+
K+
NH4+
474'
376
5315
323
403
5015
382
356
3637
712
915
3987
571
1315
3603
248
194
2759
                       3-2

-------
TABLE 8.  CHEMICAL SPECIES - PERCENTAGE FOUND
          IN FINE PARTICULATE FRACTION
ELEMENT
Pb
Br
Zn
Ni
Fe
Mn
Cr
V
Ca
S
Si
Al
F'
Cl"
Br~
N02"
N03"
804"
Na+
K+
NH4+
SITE NO.
1
81
82
90
58
37
53
38
82
14
88
26
36
72
26
88
92
78
90
41
82
95
2
83
81
88
45
40
51
47
62
14
89
26
37
73
48
69
94
75
92
51
83
97
3
75
78
86
56
35
47
50
64
14
89
23
35
64
18
88
92
54
92
52
88
97
4
86
77
89
55
45
61
44
58
19
88
24
40
49
46
57
75
68
90
56
93
98
5
87
76
85
58
39
51
47
67
15
87
21
36
37
59
86
87
63
90
63
93
99
6
82
69
86
57
36
60
62
57
16
92
27
36
71
39
62
81
38
93
54
87
98
                     8-3

-------
The lower value (Table 7) which is observed for lead at Site 6 as  compared  to the

urban sites may be reflective of the differences in vehicular traffic  densities.

The fact that the Site 3 value is one-half that of all other urban sites  is more

difficult to explain.  The Site 3 station is the tallest  (15m) above ground

level and sampler height would certainly be expected to have an effect on

particulate measurements.  However, Sites 1 (10m) and 2 (12m) do not appear to

be sufficiently different in height in order to account for the large  changes

in the observed measurements. The contention here is that height is not an

important factor in explaining the lower lead level at Site 3.  Further support

for this conclusion can be obtained from Table 10 where the percentage of lead

in the fine fraction is found to be relatively equal at all urban  sites.  Certainly

industrial lead emissions are possible within this region.  However, overall

site averages in the urban sector do not indicate a major impact from  an

industrial point source.

     The calcium component appears mainly as large particles (3-15 micrometers

diameter).  This size classification allows one to conclude that the calcium

sources are most likely soil and/or slagging operations.  The physical crushing

and grinding of slag material associated with steel production is  a mechanical

process which cannot produce fine particles below 3 microns diameter.  Thus, the

calcium-containing coarse particulates most likely represent a combination of

these two principal sources and it remains for the CEB method and  refined
                                                                  /
chemical profiles to distinguish the actual contributions from either  source

category.


     At all sites the predominant components are silicon, sulfur,  calcium,

aluminum, and iron, while the corresponding major water soluble materials are

sulfate, nitrate, and ammonium ions.  This statement is made aside from the
                                     8-4

-------
fact that carbon, hydrogen, oxygen, and nitrogen were not determined but which
certainly form significant percentages of the suspended particulates.'  Figures
21-26 show site-to-site variations for all measured chemical components as
represented by overall project averages of the combined fractions.  This data
is presented in a different form in terms of "enrichment factors" in Table 9.
The site-to-site "enrichment factor" here is obtained as the ratio of the
average of the three Buffalo sites to the average for the rural site. Similar
treatment was afforded the data from the two Lackawanna stations.  These
"enrichment factors" help to indicate which of the chemical components result
mainly from the urban/industrial environment and which components more likely
comprise the general background particulates.
     Fluoride at Sites 1 and 2 (Table 7) was the only component which was not
enriched above background.  The following components in Table 9 showed only
moderate enrichments (1.2 - 1.9) —
             vanadium                   nitrite
             nickel                     sulfate
             sulfur                     fluoride (in Lackawanna)
             silicon                    sodium (in Buffalo)
             a luminum                   aramon ium
On the other hand, the following components exhibited significant enrichments
(2.0 - 4.9) --
             lead                       calcium (in Buffalo)
             bromine                    chloride (in Buffalo)
             zinc (in Buffalo)          bromide
             iron (in Buffalo)          nitrate
             manganese (in Buffalo)     potassium (in Buffalo)
             chromium
                                     8-5

-------
TABLE 9.  ENRICHMENT FACTORS FOR CHEMICAL COMPONENTS
SPECIES
Pb
Br
Zn
Ni
Fe
Mn
Cr
V
Ca
S
Si
Al
F"
Cl"
Br"
N02"
N03"
so4=
Na+
K+
NH4+
Buffalo
3.3
4.1
4.9
1.5
4.7
3.7
2.4
1.9
4.3
1.5
1.4
1.4
0.9
2.9
3.3
1.6
3.1
1.4
1.6
2.0
1.7
La cka wanna
4.1
3.4
6.5
1.6
11.6
6.9
2.8
1.8
9.2
1.5
1.2
L.5
1.8
6.6
3.3
1.5
2.8
1.5
2.6
5.7
1.4
                       8-6

-------
 Pb
 Br
 Zn
 Ni
 Fe
 Mn
 Cr
 V
 Ca
 S
 Si
 Al
Br~
N02"
N03'
TABLE 10.
                              FINE
                                      CHEMICAL SPECIES - PERCENTAGE COMPOSITION
                                      OF FINE AND COARSE PARTICLE FRACTIONS
Na"1"
K+
NH^
1
1.68
2.27
0.42
0.02
1.69
0.07
<0.01
0.03
0.76
12.60
4.51
1.38
0.08
0.18
0.13
0.62
4.15
28.83
0.47
0.76
12.51
2
1.63
1.92
0.14
0.01
2.34
0.11
<0.01
0.02
0.83
11.95
4.60
1.36
0.09
0.36
0.16
0.84
4.10
26.43
0.40
0.81
11.76
3
1.62
1.87
0.15
0.01
1.89
0.07
<0.01
0.02
0.86
13.10
4.15
1.32
0.11
0.16
0.13
0.58
1.90
30.28
0.59
0.91
10.36
4
1.69
1.47
0.28
0.01
4.21
0.16
<0.01
0.02
1.72
12.01
3.63
1.33
0.10
0.64
0.10
0.41
2.69
26.27
0.92
1.94
8.97
5
1.77
1.38
0.27
0.02
4.08
0.11
<0.01
0.02
1.32
10.58
2.73
1.15
0.10
0.95
0.11
0.59
2.17
23.35
0.77
2.62
7.62
6
0.81
0.79
0.08
0.02
0.69
0.04
<0.01
0.02
0.31
13.99
5.26
1.60
0.18
0.17
0.06
0.64
0.95
32.86
0.57
0.72
11.42
                                                    COARSE
1
0.81
1.04
0.10
0.02
5.79
0.13
0.01
0.02
9.26
3.43
25.83
5.01
0.06
1.06
0.03
0.11
2.40
6.43
1.40
0.34
1.23
2
0.64
0.86
0.04
0.03
6.61
0.20
0.01
0.02
9.72
2.72
24.10
4.28
0.06
0.74
0.13
0.11
2.55
4.33
0.71
0.30
0.60
3
0.63
0.94
0.04
0.02
6.20
0.14
0.01
0.02
9.85
2.88
24.95
4.37
0.12
1.28
0.03
0.08
2.90
4.85
0.96
0.23
0.55
4
0.45
0.70
0.06
0.02
8.40
0.17
0.01
0.02
12.42
2.82
18.67
3.28
0.17
1.22
0.13
0.23
2.11
4.84
1.18
0.26
0.26
5
0.45
0.75
0.08
0.02
10.94
0.19
0.01
0.02
13.01
2.71
17.95
3.62
0.29
1.13
0.03
0.16
2.21
4.67
0.79
0.34
0.19
6
0.46
0.90
0.03
0.03
3.02
0.06
<0.01
0.03
4.17
3.09
35.73
7.04
0.18
0.66
0.09
0.37
3.99
5/86
1.21
0.27
0.69

-------
   8H
io

 o»





 I"
 o:
LJ
o
 UJ
 o
 UJ  3-1
                                                 Vs-
                    2345              «


                              SITE NUMBER




               FIGURE 21.  SITE VARIATIONS FOR SILICON,

                           SULFUR,  ALUMINUM,  AND CALCIUM.,
                                  8-8

-------
   0.020-
   0.015-
ro



 a.


O
\-

cc
 UJ
 o
 <
 o:
 UJ
    0.010
                              Ni
    0.005-
                                                     •V
                               3      4

                             SITE NUMBER
              FIGURE 22.  SITE  VARIATIONS FOR CHROMIUM,

                          VANADIUM,  AND NICKEL.
                                     8-9

-------
   .200T
to
 E
 v.
 o>
 3.
  *•
 z
a:
i-
 o

 o
 e>

 UJ
 IT
 LU
    .150-
    .100-
    .050
                FIGURE 23.
  345

       SITE NO.



SITE VARIATIONS FOR ZINC

AND MANGANESE.
                                 8-10

-------
    4-
ro
 O
 ce.
 LU
 o

 O
 o

 UJ
 QC
 UJ
                                   4       5


                                 SITE NO.
                  FIGURE  24.   SITE VARIATIONS FOR  IRON,

                               LEAD, AND BROMINE.


                            8-11

-------
1.5H
          (2345

                       SITE NUMBER


         FIGURE  25.  SITE VARIATIONS FOR SODIUM,
                     POTASSIUM, NITRITE, AND HALIDES,
                              8-12

-------
   15-
g  io-
Z
UJ
UJ
o
IT
UJ
    5-
            FIGURE  26.   SITE VARIATIONS  FOR  SULFATE,
                         AMMONIUM, AND NITRATE.
                            8-13

-------
Very high "enrichment factors" were observed in Lackawanna  for iron (11.6),




calcium (9.2), manganese (6.9), chloride  (6.6), zinc  (6.5),  and potassium (5.7).




It appears that all six of these components can be related  to  the  production of




steel.  In the interpretation of this data, one should be aware that high




"enrichment factors" are not necessarily  indicative of high contributions to the




overall observed TSP from emissions from  a single source.   However,  the chemical




species with the largest "enrichment factors" will serve as  chemical indicators




of the source categories which contribute to the TSP  levels  observed at the




downwind sites.




     Additional information is presented  in Table 10  to show the percentage




contribution for each species to the suspended particulate  concentration for




both fine and coarse fractions.  It should be kept in .mind  that most of the




chemical' components are not found in pure form but rather as compounds  such as




oxides, sulfides, carbonates, etc.  When  such anions  are considered  with their




cation counterparts, the overall percentage contributions to observed TSP are




much greater than the data in Table 10.  As an example, if  silicon is present




as common sand (SiC>2), the values in Table 10 must be multiplied by  2.14.  If




calcium were present as the simple oxide  (CaO), the calcium values in Table 10




would be multiplied by 1.4.




LIGHT ELEMENTS (Al, Si, S, Ca)




     These four elements constitute individually and  collectively  the major




proportion of the coarse particulate fraction; and individually (for sulfur and




silicon) and collectively they comprise the major proportion of fine particulates




Their distributions vary considerably between the fine and  coarse  fractions as



shown in Tables 8 and 10.




Aluminum




     Aluminum varies little among all six sites (Figure 21).   Although  aluminum



                                    8-14

-------
exhibits a lower concentration at Site 6 (Table 7), it constitutes a larger



percentage of the TSP (Table 10) than at the urban sites, especially evident in



the coarse fraction.  The reasonably constant concentration of aluminum at the




urban sites and its low "enrichment factor" over background suggest that its




source is predominantly soil.



Silicon



     Silicon is the only chemical component except bromine which is more abun-



dant at Sites I and 2 than at Sites 4 and 5 (Figure 21).  This observed trend



is difficult to explain as anything more than an increased soil contribution



to the TSP since a projected source such as cement or slag would also have



elevated the calcium levels.  The enrichment of silicon above background for



the urban sites is only 1.4, far lower than for most other components*.



     By sorting the silicon data for Sites 5 and 6 into twelve wind sectors



 (each 30° in width) and plotting each sector average concentration, one can



overlay the results for both sites as in Figure 27.  The information gathered



throughout the entire project shows a striking similarity (Figure 27) between



actual silicon concentrations for the urban station (Site 5) receiving the



greatest TSP loading and the rural station (Site 6) receiving the least.  The



asterisks in Figure 27 represent the project's average concentration for that



site.  The silicon trends at Sites 5 and 6 overlap to such a degree that it is



difficult to visualize any significant contribution to silicon at Site 5 from



industrial operations.  This data suggests that the single major source of



silicon is soil.  This fact is extended to all sites since the average silicon



values found in Table 7 appear to increase in the direction of increasing



traffic density.  It is possible that the increased levels of silicon as one



proceeds from Site 6 to Site 1 may result from reentrainment due to the increase
                                                                               f


in vehicular activity.  While it is certain that the steel industry contributes



                                   8-15

-------
    300O-
K)

 E
o

<
or

2
UJ
O

o
o
UJ
_i
UJ
    200OH
    100CH
       0
                                                                Site 5
              ••. v     ••     *•      .-••"•••
                •••....
                      3

                      E
                                   6

                                   S
9

W
10   H
12

N
                                                                           FINE  PARTICLE FRACTION

                                                                           -  Site 5

                                                                           ......  Site 6

                                                                          Site 6 • Represents the average of all data used
                                                                                 in the wind sector analysis.
3

E
6

S
                                                     9

                                                     W
10
12

N
                                                   COMPASS WIND  SeCTORS

-------
to silicon emissions, any major impact among the urban sites is not evident.
All of the proceeding analysis is in contrast with the iron data which is pre-
sented in similar fashion in Figure 27.  The site average data (asterisks) for
Sites 5 and 6 differ by a factor of 12 for iron and a factor of unity for silicon.
The iron concentrations at Site 5 bear little resemblance to that for Site 6 and
are indicative of sources of iron other than soil.
Sulfur
     Sulfur is by far the largest single contributor to the fine particle fraction
if one does not consider the light elements (carbon, hydrogen, oxygen, and
nitrogen).  Approximately 88% of the total observed sulfur is found in the fine
fraction were it constitutes about   12% (Table 10) of the FSP fraction at the
urban sites and 14% at the rural station.  In t"he coarse particle fraction,
sulfur comprises 3% of the CSP at all sites.  Site-to-site variations (Figure 21)
for  sulfur within the urban area are relatively minor and   the enrichment factor
is only  1.5.  These observations suggest that sulfur is not strongly associated
with a point source and that most of it is not generated locally.
     Furthermore, most of the sulfur at all six sites is present as sulfate.
The  percentage ranges from 71% at Site 4 to 77% at Site 6, with an urban average
of 73%.  The lower urban percentage could be affected by non-sulfate sulfur
arising  from coking or other sources.
Calcium
     Calcium possesses the second highest enrichment factor after iron and
surpasses iron in its percentage contribution to the IP concentration.  The
site-to-site calcium variations (Figure 21) are found to be very similar to that
for iron (Figure 24).  Because of the high enrichment of calcium, especially at
Lackawanna (9.2), and its large mass contribution to the ,TSP, analysis was
extended to determine the nature of its source(s).
                                    8-17

-------
     Calcium is found to comprise approximately 857, of the CSP  fraction.   The




observed concentrations of calcium at the two Lackawanna sites  are about nine




times greater than those at the rural site and twice those measured at  the three




Buffalo sites.  For Sites 4 and 5, a subset of the entire data  base was produced




which included sixteen individual field runs containing the ten greatest calcium




concentrations in the CSP fraction.  This data subset simultaneously  included




80% of the ten highest concentrations which were observed at the three  Buffalo




sites.  While Sites 4 and 5 essentially had equal calcium levels (project  average),




usually large differences were observed between the sites on a  single day.  The




correlation coefficient for calcium from this data was only 0.14 between the two




sites.  This result was unexpected since the two sites are only about one  kilo-




meter apart and possess similar overall levels for most of the  chemical components,




     This data suggests for calcium that (1) a single major source is so close




to the sites that small variations in wind direction have enormous effects on




observed downwind concentrations, or (2) there are several major sources nearby.




When the concentration of calcium at Site 4 is significantly higher 0200%) than




at Site 5 in this data subset, the observed ratios of Ca/Fe and Ca/Mn are  greater




at Site 4 than at Site 5.  When the reverse occurs where calcium at Site 5 is




about 200% greater than at Site 4, the observed Ca/Fe and Ca/Mn ratios become




larger at Site 5.  In general, calcium was not found to correlate well with iron,




manganese, or silicon at Sites 4 and 5.  However, subsets of the data can  be




found which exhibit high calcium-iron and calcium-manganese correlations,




suggesting that such calcium may originate from slag.  It appears that  the




highest calcium concentrations which were observed at Sites 4 and 5 may include




emissions from the lime plant  (steel production) which would account  for the




selective enrichment of calcium.




     A summary of this data suggests that there are at least two major  calcium



                                     8-18

-------
sources contributing to the TSP which are located in close proximity to the two
Lackawanna sites.  The two most probable sources for coarse-particle calcium are
operations which involve the production of lime and the processing of slag.
Fine-particle calcium may arise from coking and furnace (steel) dust emissions.
TRANSITION METALS (V, Cr, Mn, Ni, Zn, Fe)
     Of the measured transition metals, only iron is a significant contributor
to TSP.  Manganese and zinc offer minor contributions while the remaining tran-
sition metal components are negligible in terms of absolute ambient concentrations.
However, each of these metals is regarded as important indicators of emission
source categories.  Manganese, iron, and zinc were found to be substantially
enhanced at all urban sites while chromium, vanadium, and nickel exhibited only
slight increases in concentration.
Vanadium
     Vanadium  (Figure 22) appeared rather irregularly at all sites but seldom
at  levels  above  0.02 M-g/m^, except at Sites 1 and 5.  Site averages from the
overall project  lie in the range 0.01 - 0.02 i-ig/m^ with Site 6 being much lower.
Vanadium  constitutes approximately 2.5% by weight of particulates arising from
the  combustion of fuel oil.  Thus, fuel oil is believed to be the single major
source for this metal based on the current understanding of industrial processes
and  emissions in the Niagara Frontier.  While very low in absolute concentration,
vanadium  later serves as an excellent marker or "tracer" in the CEB resolution
of the major source categories.
Chromium
     Concentrations of chromium (Figure 22) were usually less than 0.001
at all sites and there is little net contribution to TSP.  While chromium would
appear to be associated with the production of steel, such data is currently
lacking.  For the moment chromium appears to provide little usable information
                                     8-19

-------
in distinguishing among contributing source categories.

Manganese

     Manganese and iron display similar site-to-site variations  (Figures  23 and

24) and a high linear correlation exists among the urban sites.  Although

manganese peaks at Site 4, iron is found to peak at Site 5.  The concentrations

for both metals at the Lackawanna sites are about double those observed at the

Buffalo sites.  The high levels of both manganese and iron are presently

associated with the production of steel.  Any contribution of automotive  man-

ganese from gasoline additives would be expected to provide higher observed

levels in areas of higher traffic densities (Sites 1-3).  Since this  effect was

not evident, it is felt that automotive manganese offers a negligible contribution

to observed concentrations of the metal.

Nickel

     Nickel is found at very low levels at all sites (Figure 22).  Although the

urban site concentrations are 50% above background, the urban site levels do

not vary much among themselves.  The source of most of the observed nickel is

believed to be particulates from the combustion of fuel oil.

Zinc

     Zinc levels are unusual in that site-to-site variations (Figure  23)  are

very similar to trends which are characteristic of iron, calcium, and manganese,

except that a second peak exists at Site 1.  Zinc is the only metal*for which the

highest average value appears at Site 1.  Ninety percent of the zinc  observed

at Site 1 appears in the  fine particle  fraction and with elevated bromine, could

indicate that automotive  exhaust is the main source.  However, further examina-

tion of the data on a day-to-day basis  indicates little correlation between bromine


     -'-Non-metals such as  bromine, sulfate, and ammonium also show
      peak values at Site 1 (Figures 24 and 26).

                                    8-20

-------
and zinc.  Wind direction data also indicates that the source of zinc differs




from that for bromine.  Combined wind direction data for Sites 1 and 2 suggest




that the zinc source lies in a region which is currently used for coke and




steel production in Buffalo.




Iron




     Because  steel production  is the predominant industrial activity in the




study area, iron has become one of the most interesting elements in this  inves-




tigation.   Iron has been  found to exhibit the largest site-to-site enrichment




factor  of  all chemical  components.  Both Lackawanna sites show an average




enrichment factor of 11.6 above background and total iron concentrations




 (project average) of 4.4  ng/m^.  The data in Figure 24 presents the average




"project concentrations  which were observed for each site and clearly indicates




 that strong local sources affect the urban sites, especially Sites 4 and  5.




The average enrichment  factor  observed at Sites 1, 2, and 3 in Buffalo, although




 subdued when  compared to  Lackawanna, is still high at 4.7.




      The effects of  24-hr  resultant wind direction upon observed concentrations




of iron were  studied  to gain information on the geographic locations of poten-




tial source contributors.   For the moment this analysis is confined to the




 fine iron  particulates  since it is this fraction which most likely will be




transported throughout  the  study area.  Information is presented in Figure 27




 for Site 5 which shows  average iron concentrations observed for each 30° wind




sector. Site 6 data  is similarly displayed for reference.  Such data is




summarized in Table 11  where the actual compass directions pointing to the




steel  facilities are tabulated for each site to permit comparisons with the




observed data.  The wind  directions, which were observed during periods when




iron concentrations were  high, are represented very well by those wind sectors
                                  8-21

-------
TABLE 11.  WIND DIRECTION OBSERVED FOR HIGH IRON CONCENTRATIONS
               WIND DIRECTIONS  FOR
               IRON CONCENTRATIONS
COMPASS DIRECTION
TO STEEL FACILITIES
SITE NO.
1
2
3
4
5
>2ng/m3
208-234 (4)**
208-277 (7)
223-230 (2)
320 (1)
192-247 (16 )t
193-274 (25)t1>
10 highest
208-234
208-277***
217-230 (9)
320 (1)
192-235f
193-274
Bethlehem
180-210
185-225
190-235
170-290
180-310
Republic
205-230
265-300
305-320
355-10
355-5
   *  In degrees,  north =  0°,  east  =  90°,  etc.

  **  Values in (  )  indicate number of observations.

 ***  Also one reading at  18°.

   t  Also one reading at  37°.

  tt  Also one reading each at  37,  75°  103°  150°.
                            8-22

-------
that traverse the steel facilities with respect to each station.  The data for


Sites 1, 2, and 3 are particularly interesting since there are two potential


iron sources which can impact within this area.  For Site 1, the ten highest


iron concentrations all occurred within a narrow wind sector (208  - 234 ).


These observations appear to indicate emissions emanating from Republic Steel.


Only one or two of these readings possess a reasonable probability of involving


emissions which originate from Bethlehem Steel.  Because of its location, Site 2


presents a more dramatic distinction in the emissions arising from the two steel

                                                                            o
complexes.  Two separate wind sectors are observed for high iron levels - 208-223


and 230°-277° which represent the general locations of Bethlehem Steel and


Republic Steel, respectively.


     At Site 3, nine of the ten highest iron concentrations lay in the 217°-234°


sector where Bethlehem Steel is upwind.  However, the tenth observation, repre-


senting the third highest concentration, possessed a wind direction of 320  and


arose from the general direction of Republic Steel.


     When  the analysis of iron concentrations is now limited to values greater


than 2 ng/m^, fifteen of sixteen observations (Table 11) for Site 4 fall into


the 192°-247  sector and point toward Bethlehem Steel.  The sixteenth value


(37°) may  involve emissions from Republic Steel, the nearby slag operation, or


from the rail yards.  A similar analysis at Site 5 shows that 21 of 25 observa-


tions lay  in the compass sector 193°-274° when iron exceeded 2 M-g/m3. Bethlehem


Steel is found upwind of this sector.  Similarly, high readings (Table 11) were


obtained for directions represented by 37 , 75°, 103°, and 150°.  These data


fall into  the first five wind sectors displayed in Figure 27 and represent the


first three peaks, each with an easterly component.  This data points to the


nearby rail yards and may involve the scrap iron plant which borders the


southern edge of Site 5.   One should not totally rule out a reentrainment


                                     8-23

-------
component of iron particulates arising from steel emissions which are  constantly
                                                      •
transported into this area by the predominant southwesterly winds.

     Further evidence in support of iron emissions which originate  from the

steel industry is provided from a comparison of iron and manganese  in  the fine

particle fraction at Site 5.  To avoid the uncertainties associated with low

levels of manganese, only those days in which iron concentrations exceeded

1 ng/rn^ (38 out of 66 total observations) are considered.  The least squares

regression line for iron and manganese revealed a 0.81 correlation  coefficient.

For iron levels below 3 ng/m^, the Mn/Fe ratio is consistently lower than when

iron exceeds 3 i-ig/m^.  This information may describe the situation where a

portion of the iron that is contributed by non-steel emission sources  is depleted

in manganese relative to the iron from steel.  Iron is certainly prevalent in

soil and such a general source is expected to impact on the sites throughout

this region.  Hopefully a more advanced analysis involving the CEB  approach may

better utilize such subtle differences in the chemistry of particulates  to

distinguish the relative contribution from major emission sources.

Lead and Bromine

     Lead and bromine are two elements which are normally associated with auto-

motive emissions.  Both of these elements are consistently present  at  all sites

(Figure 24) and found mainly in the fine particulate fraction (Pb,  82%;  Br, 77%).

Site-to-site variations were generally small among the urban stations  with

Site 3 having the lowest averages.  Enrichment factors for both components

ranged three to four.

     The ratios of bromine/lead were examined but found to be far too  high when

compared to literature values (.15-.40) for automotive exhaust.  It appears that

the bromine values, not lead, have been overestimated during sample analysis.



                                    8-24

-------
This condition may have been caused by a deterioration of the bromine xrf




standards.  While the absolute bromine values reported here may be incorrect,




the relative values are still indicative of meaningful trends.  Fine particulate




bromine is enhanced a factor of 5 at Site 1 which is adjacent to the New York




State Thruway.  Meteorological data help to show that both bromine and lead




concentrations are elevated when Site 1 is downwind from the New York State




Thruway.




     Fine particulate lead peaks at Site 1. and is believed to originate mainly




from automotive traffic.  However, lead similarly peaks at Site 5 while there




is  no corresponding increase in bromine.  A similar trend is witnessed for




Site 4.   Sites 4 and 5 together could indicate lead emissions arising from the




steel industry where the metal is added at times to reduce brittleness.




ION CHROMATOGRAPHIC DATA




Introduction




      Ion  chromatographic data appears in Tables 7, 8, 9, and 10, and represent




only  those  portions of each component which are water soluble.  The general




procedures  involved in the measurement of the ten ionic components has been




previously  described in Section 5.




Sodium




     Sodium generally constitutes less than 1% of the total dichotomous suspend-




ed  particulate weight (Table 10) with 53% residing in the fine particle fraction.




The enrichment factors are 1.6 for Buffalo and 2.6 for Lackawanna.  Sodium




levels peak at Site 4 (Figure 25) and are essentially constant at the Buffalo




sites.  For the moment sodium has no readily identifiable source other than as




a roadway deicing agent.




Potassium




     Potassium displays a behavior which is quite different from that for sodium.




                                    8-25

-------
The enrichment factor for potassium is 2.0 for Buffalo, reasonably similar  to




the 1.6 observed for sodium.  However, for Lackawanna the potassium enrichment




jumps to 5.7.  Potassium exists primarily as small particulates at all  sites




where 82-93% (Table 8) is found in the fine particle fraction.  Levels  of




potassium rise sharply at Sites 4 and 5 (Figure 25) where it represents approx-




imately 27» of the dichotomous IP-  The Buffalo sites exhibit small variations




at much lower levels.  Although limestone is known to contain small amounts of




potassium, the exact source for most of this metal is currently unknown.  It




should be noted that variations in chloride concentrations  (Table  7 and Figure




25) are similar to the trend observed for potassium.  It is not known from  this




data whether potassium and chloride exist as a single compound, potassium




chloride, but the individual components do possess similar  enrichment factors




(Table 9) at identical sites.  Potassium chloride can be used as a flux in  some




high temperature operations but its possible use in steel production is unknown




at this time.




Ammonium




     Ammonium ion comprises about 10% of the fine particulate weight at all sites




and is the second largest contributor to the measured water-soluble components.




Modest enrichment factors are observed for Buffalo (1.7) and Lackawanna (1.4).




Average ammonium concentrations display an increasing trend toward the  more




northern sites (Figure 26).  An analysis of ammonium concentrations versus  wind




direction reveals that the greatest mass of ammonium arrives on southwesterly




winds.  However, northern winds exhibit significant ammonium concentrations at




Site 3 and result in the highest observed concentrations at Sites  4 and 5.  This




pattern may  reflect ammonia emissions from coke ovens which are located north




of Sites 1 and 2.  Obviously this source of ammonia would be superimposed on




material carried into the region from long range transport.  Therefore, it  is




                                     8-26

-------
not unexpected that a regression analysis of 30 sampling dates at Site 5 showed




little correlation of ammonium ion to either sulfate or nitrate (other gas-to-




particle conversion products).




Halides (F. Cl, Br)



     As a group the halides generally represent 1% of the dichotomous IP for




most sites, approximately 1.1% at Site 4 and 1.4% at Site 5.  Chloride is by




far the predominant halide component and shows the greatest enrichment (6.6)




at Lackawanna.  Potential sources of chloride are automotive exhaust, combustion,




road salt, and steel manufacturing.  The bromide analyzed here is soluble (BrS)




and necessarily represents only a portion of total bromine as determined by




xrf procedures.  All forms of bromide in this project are mainly attributed to




automotive exhaust.  Fluoride is similarly found to occur at low levels but




does exhibit a maxima at Site 5.  Although it is known that fluorspar (calcium




 fluoride)  is sometimes used in fluidizing slag during steel production, this




 source has not yet been verified.  If fluorspar is used continuously, then it




may help  to serve as a marker element to distinguish between the various




emission  sources arising within the steel industry.




Nitrate and Nitrite




     Both  ions are found to be enriched above background (Table 9).  However,




nitrate appears to be the more interesting component and constitutes about




2-3.5% of the dichotomous IP.  Nitrate at the urban sites is found mainly in




the fine particle fraction (54-78%) but drops to only 38% at the rural station




(Site  6).  Sites 1 and 2-in Table 7 are considerably enriched in fine particle




nitrate as compared to the remaining sites.  This trend may reflect the presence




of nearby coke ovens which are known to emit nitrogen oxides.  Little correla-




tion was found in a comparison of nitrite or nitrate to either ammonium or




sulfate concentrations.




                                    8-27

-------
                                  SECTION 9




                        SCANNING ELECTRON MICROSCOPY






     Analysis was conducted on special samples of suspended particulates




collected at two field stations in an effort to characterize the major types




of particles present.  The objective of this effort was  to  provide source




category information for the CEB program from the classification of the




physical and chemical characteristics of the predominant types  of particles.




Since this analysis was designed as a small effort, filter  analysis was re-




stricted to Sites 5 and 6 which represent urban and rural background stations,




respectively.  It was expected that major differences in types  of particles




would be evident between these two sites.




     From the observation of many particles from the fine and coarse particulate




filters of both sites, silicon appeared as the predominant  element.  Most




particles contained silicon but no reasonable correlation could be made between




silicon content and particle size or shape.  The varying sizes  and shapes of




particles containing silicon sometimes contained additional metals, making it




difficult to distinguish between sand, clay, or other sources.




     Sulfur was found to be present in most of the fine  and coarse particles




from Site 5 but only in the fine particles from Site 6.   These  facts support




other project data which indicate that the majority of sulfur in the particulate




samples exists as sulfate which is confined to the fine  particle fraction




(< 4 M. diameter).  However, at Site 5 some sulfur was evident in the coarse




particles in which calcium was simultaneously present.  It  is possible that




                                    9-1

-------
such particles originate from blast furnace slag or limestone in the  steeltnaking




process.  However, much more SEM data would be required to substantiate any such




claim.  In general, sulfur was most often associated with fine particles which




contained very low levels of other elements.  Calcium was found at Site 6 to




exist mainly in the fine particles with levels significantly lower than at the




urban sites.  The much higher calcium concentrations found at Site 5 were usually




associated with high silicon and/or sulfur and/or aluminum levels.  Such




associated metals are suggestive of blast furnace slag particulates.  In contrast




to Site 5, the lower concentrations of calcium observed in the particulates at




Site 6 were not associated with similar levels of silicon, sulfur, and aluminum.




This fact suggests that the calcium component at the rural site may be comprised




mainly of soil limestone and/or roadway deicing  agents as opposed to the type




of calcium-containing material which is evident at the urban sites.  Although




calcium chloride as the deicing agent is considered here, its actual impact




appears to be negligible at Sites 5 and 6 since the measured chloride in each




case accounts for a maximum of only 10% of the total observed calcium.




     The highest iron concentrations were observed at Site 5 in particles which




were low in other elements.  Such iron particles most probably exist as the




oxide, Fe£ 03, since a rouge color was often evident on filter particulate




samples.  The single most important source for such a component would involve




the steelmaking furnaces, most probably the basic oxygen furnace since these




iron particles were fairly small (< 2 M- diameter).  Such small particles are




more indicative of industrial process emissions associated with condensable




particle streams.  Iron particles arising from soil and ores are either con-




siderably larger in size or,  from combustion sources, are associated with other




metals.  The iron particles observed at Site 6 usually contained silicon,




sulfur, and aluminum components.  In addition, the presence at Site 5 of



                                     9-2

-------
relatively high manganese concentrations appeared in particles which were




simultaneously rich in iron or zinc-nickel-chromium.  Manganese in this region




is apparently related mainly with steel production processes rather than from




automotive or fuel combustion sources.



     Aluminum, was the second most frequently appearing element, associated




usually in round particles with similar concentrations of silicon.  The fact




that aluminum appeared mainly in round particles is again suggestive of con-




densable particle emission sources such as coal and/or oil combustion or




steelmaking/slagging operations.  Aluminum from soil components would tend to




be associated with irregularly shaped particulates.




     Lead and bromine at Site 5 appeared most frequently in the coarse partic-




ulate  fraction as opposed to its presence mainly in the fine particles at




Site 6.  While it was expected beforehand that lead and bromine would present




information regarding the impact of an automotive source throughout the study




region, the situation has become more complicated.  Lead is occasionally used




in the production of steel where it is added directly to molten iron.  This




procedure would most certainly give rise to lead-containing particulate




emissions.  Therefore, difficulties will arise in distinguishing automotive




and industrial process contributions to the measured concentrations of lead.




     It was further observed that overall zinc concentrations at all sites




were much lower than for many of the other analyzed metals.  From SEM analysis,




some zinc-containing particles were unusually depleted in most other metals.




Such particles are believed to originate from the wear of rubber tires since




rubber usually contains zinc compounds for curing.  However, other zinc par-




ticles were enriched in other heavy metals.  Although galvanizing operations




are associated with steel production,  the present information regarding such




particles  is insufficient to establish possible source(s).



                                   9-3

-------
     Although the SEM analysis begins to show important differences in the




particle characteristics associated with Sites 5 and 6, a greater in-depth




particle analysis will be required in the future in order to obtain represen-




tative results which are applicable to studies of this type.  This SEM data




which is summarized in this section represents the interpretation of samples




collected on only one day of the project and is necessarily limited.
                                   9-4

-------
                                 SECTION 10




                          CHEMICAL ELEMENT BALANCE






INTRODUCTION



     The dispersion modeling of various pollutants has traditionally involved




the development of rather sophisticated computer programs.   Such atmospheric




dispersion models attempt to simulate observed parameters which describe the




meteorological profile within the study area.   By employing the emission factor




for a single source, the model then predicts the downwind TSP concentrations




which are contributed by that source.  The treatment for multiple sources is




similar and the downwind concentrations are obtained from the principle of




superposition of each individual source.  In this approach, some difficulties




arise from an attempt to accurately model complex meteorology, which at best




can only be approximated.




     Before one can devise optimum control strategies for TSP, the source




strengths of various sources must be defined.   Estimates of source strengths




from dispersion modeling are necessarily based upon emission factors which are




obtained from source emissions inventories where data is often inaccurate or




incomplete.  Some of the errors in the subsequently predicted source strengths




are associated with the incorrect assumption that contributions to the TSP from




individual sources are directly proportional to the overall masses of material




which are emitted.  However, the different residence times, dilution factors,




and transport properties of particles are based on their different size dis-




tributions and points of release.  The various chemical species arising from





                                     10-1

-------
a single point source and eventually observed" at a downwind  site do not


necessarily possess the same proportionality to the composite  emissions factor.

     A different approach in determining the strengths of the  various  sources


within an area is the chemical element balance (CEB) method.   The major emission


source categories for the region are defined.  Subsequently, the respective


samples from the categories are analyzed for many chemical species  in  order to

establish a "chemical fingerprint" for each category.  Samples of ambient


suspended particulates are then collected at the various field stations and

each is analyzed for the same components which are specified in  the "chemical


fingerprint".  The assumption is made, similar to that used in dispersion


modeling, that the concentration of trace elements found in the  aerosol is a

linear combination of the emission from all types of sources in  the area. The


CEB method then attempts to resolve the aerosol into its component  sources.

     From the CEB approach, the measured concentration of element i, C±, in a

particulate sample can be represented as :


     (10-1)                    Ct = SnjXjj



where nij is the fractional mass contribution to suspended particulates  from

source j, and Xjj is the concentration of the chemical component  i  in


the particulate matter from source j.  Using iron as an example and three

source categories, one would have:


     (10-2)            C-r,  = m-ix-j   +  moxo   + nux?
                        *e    L ^       2 ^     ^ J
                                                    Fe


where Cpe is the concentration of iron as represented by the filter particulate


sample.  Additional equations can be written for other chemical species which

have been measured in the investigation.  If the matrix elements x  . in


equation 10-1 are known for all the major source categories contributing to the

field sample, then equation 10-1 can be solved to obtain the source strength


                                     10-2

-------
coefficients, mj.   From this method, one should be able to indicate the con-




tribution of each type of source category to the TSP as well as the contribution




of each source category to the concentration of each chemical component.






SOURCE CATEGORY COEFFICIENTS



     In order to apply the resolution of the source category components to the'




field data gathered in this study, it is first necessary to identify the major




source categories and to establish the "chemical fingerprint", K±j, for each.




Since the field data represents two size fractions of particulates, the power




of the CEB model is only fully realized if one provides a "chemical fingerprint"




for each of  the particle size fractions.




     No attempt was made within the course of this investigation to obtain




physical samples of materials representing the individual source categories.




Analysis of  such materials would be useful in order to establish directly the




necessary coefficients.  However, such an effort is beyond the scope of the




current project.




     The CEB approach received major notice in 1973 in a publication by




Friedlander  (2).  Although the CEB concept has been advanced considerably since




that time, it is to be considered still in its infancy.




     In order to operate the CEB model for the Niagara Frontier data, the only




source for the x^j coefficients is the literature.  The data in Tables 12 and 13




represent the values which were used to perform the source resolution.  All




values appear in standard scientific notation in double precision format, i.e.




25.D-2 is equal to 0.25; all values within a category are normalized with




respect to a "tracer" element.  The seven source categories which were chosen




for this analysis are soil, steel, coal, oil, refuse, auto, and lime.  Much of




the subsequent resolution of the Niagara Frontier data makes use of the CEB
                                    10-3

-------
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-------
model which was developed by Dr. Glen Gordon, et.al.,  (10, 11).  With  the




exception of steel, all of the "chemical fingerprints" for the source  categories




were derived from the Washington, D.C. aerosol study.  It is believed  that




this data represents the most complete category profiles which were available




to us for application to the Niagara Frontier data.  However, coefficients for




a steel category were obtained from the Chicago aerosol study (4).  Where




possible, relative proportions of metals were updated  from more current




information.




     An abundance of information exists in the literature for use by those




employing the  CEB approach.  However, more often than  not, the specific  chemical




parameters which describe the particulate emissions  from a source category




don't coincide with those parameters actually measured in a project.   When this




event occurs,  the "chemical  fingerprints" are incomplete and a highly  detailed




resolution of  the data base  cannot be achieved.  This  situation exists at the




moment when attempts are made to resolve the Niagara Frontier data.




     The  information in Tables 12 and 13 for source  categories for soil  and




lime do not represent two different size fractions,  but rather the bulk  overall




sample.   Similarly the values for a steel component  represent bulk particle




emissions and  are not size classified.  These three  chemical profiles  are




simply not available at this time in the detail required by such studies




employing dichotomous samplers.  The available chemical profiles  (Tables 12




and 13) were used under the  constraints which are described.  One should realize




that this situation will not permit full interpretation of the data. Certainly




such chemical  profiles can be advanced in the future and the data can  then be




reanalyzed to  permit a greater understanding of the  relationship of source




category  contributions to TSP in the Buffalo-Lackawanna area.
                                     10-6

-------
SIX SOURCE RESOLUTION




     A six-source CEB analysis of fine particles is presented in Appendix E.




The source categories which are considered to account for approximately 95% of




the observed TSP in the Buffalo-Lackawanna area are soil, steel, oil, refuse,




auto, and liming.  A marker element is designated within each source category




but does not necessarily have to represent the respective chemical constituent




with the highest concentration.  The prime consideration here is whether or not




a marker element is peculiar to a single source category.  When this situation




occurs, the distinguishing features of the chemical profile for that source




category are enhanced above the remaining choices.  Although it is felt that




such marker elements aid in resolving the contributions from the various source




categories, one  is not always permitted the opportunity to select marker




elements which occur in only a single source category.




     In this study the soil category possesses a chemical profile which is




based upon a silicon marker.  This profile will account for soil particles




observed in the  TSP, regardless of the manner in which these particles become




airborne.  However, silicon is also found to occur in the steel category,




particularly in  slag material.  On the other hand, the marker element for steel




was chosen to be iron, which similarly forms an appreciable percentage in soil.




Vanadium was selected as the marker for particulates originating from the com-




bustion of fuel oil.  Within this study, vanadium is the marker which comes




closest to fulfilling the earlier requirement that a marker be found predomi-




nantly in the chemical profile for only one source category.  Meanwhile, zinc




was the marker element chosen for refuse since literature reports find refuse




to be the chief source for this metal in the environment.  However, the matter




is certainly complicated by the presence of zinc in the abraded particles from
                                    10-7

-------
rubber tires of vehicles and in emissions from galvanizing operations.   It is




felt that neither of the latter zinc sources has yet been adequately  character-




ized for studies of this type.  The marker selected for the auto  (vehicular)




source is lead.  Certainly the reduction of lead in gasoline in the future may




eventually force one to reconsider this choice.  Although the use of  unleaded




fuel is constantly on the rise, vehicular traffic is still considered to be the




major source of lead which is emitted into the environment.  The sixth category,




liming (10), was found to be necessary to account for a source of calcium.  In




this study, liming will represent a chemical profile of particulate emissions




which result chiefly from the abrasion of concrete surfaces and from  slag




operations.  Other sources of calcium, i.e., cement, would also be included in




this category.




     From the data which is presented in Appendix E for Site 1, one observes




the predicted distribution of the chemical components among the six source




categories.  The input, C ^, for Site 1 for the chemical components is labelled




"Observed" in Appendix E and does not represent the measurements made on




individual filter samples.  The "Observed" data represents the respective




project average values for fine particles.  Although the input to the CEB




program could have been the chemical component concentrations which are descrip-




tive of a single filter sample, the current number of source categories and/or




the present quality of each chemical profile occasionally results in  the




prediction of large negative concentrations for entire source categories.  The




project's average site values effectively remove large variations within a




given chemical measurement and results in a computer source resolution which




is considered here to be more meaningful in its interpretation.  Certainly a




great deal of information is lost by not utilizing individual filter  samples.
                                   10-8

-------
However, it is judged more important for the moment to present the average




findings in view of the project's overall goals to broadly define the nature of




TSP in the Niagara Frontier region.




     From Site 1 data in Appendix E, lead is distributed chiefly in auto, then




refuse, and.is negligible in all other remaining categories.  The total predicted




concentration for lead is 711 |ig/m3 as compared to the average observed value of




682 tig/m3.  The resulting ratio large/small (L/S) is 1.04 and reveals very good




agreement overall.  The L/S ratio for bromine is 4.33 where the observed value




is considerably in excess of the predicted value.  It is felt that the observed




bromine values are in error as discussed in Section 8.  Despite a poor chemical




analysis  for bromine, one observes a decrease in the bromine L/S ratio from 4.3




at Site 1 to 2.8 at Site 6.  This decrease toward unity in the ratio suggests an




improving fit.  However, the xrf data appears to overestimate the concentrations




of bromine  by approximately a factor of 2.5.




      Zinc  is  found to be distributed between the auto and refuse categories,




similar to  lead but in the reverse order of predominance.  Iron and manganese




are  chiefly found in the steel category, where chromium, lead, nickel, and other




components  are reported to be zero simply because the analyses for these metals




relative  to iron in the chemical profile was not readily available to the project,




If chromium was present in steel emissions, presumably the CEB program would




predict a chromium component for steel.  Thus, the L/S ratio of 1.34 may even-




tually move toward unity, indicating a better correlation between predicted and




observed values.




     The bulk of calcium containing particulates is found in the liming category,




although appreciable quantities are also distributed in soil and steel emissions.




Much of the calcium may arise from the degradation of concrete and from slagging




operations, both sources of which are figured into the liming profile.  Once
                                    10-9

-------
sufficient confidence is achieved in the chemical profiles, it  is possible  that




slag contributions to TSP could be resolved directly by establishing a  chemical




profile specifically for such a material.




     The concentration of vanadium is distributed chiefly in the oil category.




Although there is a wide variety of heavy industries and chemical processes to




be considered in the Buffalo-Lackawanna area, present information suggests  that




fuel oil combustion is the prime contributor to the observed levels of  vanadium.




In contrast to the reasonable fit for vanadium, the resolution of sulfur appears,




at first, to be extremely poor with regard to resolution and distribution among




the specified source categories.  The L/S factor exceeds 500.  However, one




should realize that background particulates arising from some combination of




distant sources cannot be adequately characterized in a chemical profile as a




single source.  The end result is that the CEB approach simply must ignore  the




background aspect of TSP.  The CEB method must ignore those components  which




arise from gas-to-particle conversion processes and which enter the study region




through long range transport, i.e., sulfate, nitrate, ammonium, etc.  The inability




of the CEB method to cope with this aspect of the TSP problem should not be




considered as a deficiency in the model.  Data from Section 7 has presented a




detailed discussion of sulfur-containing particulates and has shown that much of




the sulfur exists as sulfate.  Except for minor variations, the bulk of the




observed sulfate, nitrate, and ammonium particulates appears to be well dispersed




among the sites and to be largely independent of industrial activities  throughout




the entire region.  From a study of the chemical profiles of the source categories




presented in Table 12, one realizes that sulfur is an element which exists  at




very low levels when normalized to the marker element.  Thus, correspondingly




low levels of sulfur are predicted and distributed among the sources.   One  could







                                     10-10

-------
argue that the sulfur data should not have been included in the resolution
                                                                                •
analysis.  In any case, the CEB results should be interpreted as simply reflect-

ing the absence of any major sulfur species in the source categories considered.

     Upon examining the results for silicon, one finds that the CEB model has

predicted that approximately 80% of this element arises from a soil component.

An order of magnitude lower concentrations are received from refuse and liming

categories.  Similar trends are observed for aluminum and potassium in the

discussion of data at Site 1.  At this stage in the interpretation of the data,

one should recall that the liming category was included in an attempt to explain

additional sources of calcium.  The liming chemical profile was modified in an

attempt  to include a slag component based mainly on silicon and calcium.  It is

probable that errors exist here since good data was not available.  Therefore,

a  future reanalysis is expected to decrease the predicted soil component in an

effort  to account for slag particulates which are included in the liming category.

     The high predicted distribution of chloride in the automotive category

appears  reasonable since chlorinated scavengers are still in use in leaded

gasoline.  Chloride is also expected to be produced from the incineration of

refuse  containing appreciable amounts of chlorinated plastic films, i.e., PVC

(polyvinyl chloride), etc.

     The CEB analysis of potassium does not account very well for its presence

among source categories as is evident in the L/S ratio of 3.02.  The zero values

predicted for steel, oil, and refuse sources simply arise from the lack of

information for potassium in the respective chemical profiles.  As discussed

in Section 8 of this report, potassium levels rise near the steel industry.

The verification of a potassium emission from steel production could be expected

to improve the resulting mass balance distribution and the subsequent L/S ratio

for this metal.

                                    10-11

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     Additional information may be found toward the bottom of page  E-2  (Appendix'




E) which describes three variables.  The "COEFF" variable is simply the m,




value resulting from the CEB analysis.  The "TSP" variable is computed  from




knowledge of the weight percent of the marker element in a sample from the




respective source category.  The percentage weight values which were used in




this analysis appear under the heading "EST. % WEIGHT" found on page E-8.  For




example, at Site 1 the predicted value of silicon is divided by .250 and results




in a predicted TSP value of 7189 ng/m3 arising from the soil.  The  "% TSP"




variable simply represents the predicted source category contribution to FSP




as a percentage of the sum of all the predicted contributions.




     Similar information is presented for the remaining Sites 2-6 (pages E3-E7)




and one can now draw comparisons from the results on a site-to-site basis.  For




'instance, the predicted soil contributions (% FSP) can be seen in Table 14 to




vary among the sites.  A maximum soil component (72%) is observed at Site 6.




        TABLE 14.  SIX SOURCE CATEGORY DISTRIBUTION SUMMARY (7, FSP)




     Site #     Soil     Steel     Oil     Refuse     Auto     Liming
1
2
3
4
5
6
42.8
47.5
44.3
31.2
25.5
72.0
5.8
8.8
7.5
20.6
22.6
-2.1
1.2
0.6
0.7
0.4
0.7
0.7
11.1
1.4
2.0
2.9
2.8
2.7
35.8
38.5
41.5
37.9
43.5
24.9
3.4
3.1
4.0
6.9
4.9
1.8
While this absolute value may be argued, the source-by-source distribution at




Site 6 seems entirely reasonable.  The soil category percentage is lowest at




Sites 4 and 5 but this trend is in agreement with the observed facts.  For




Sites 4 and 5 the overall TSP values, and therefore FSP, are the highest







                                    10-12

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observed throughout the project.  The chemistry of the particulates at Sites 4




and 5 differ considerably from the other sites and the CEB model predicts a much




larger percentage of steel emissions contributing to the observed TSP.  Thus,




while one could conceive that the soil component could be relatively constant




among the sites from the discussions in Section 8, the soil percentage decreases




at Sites 4 and 5 due to the increased percentage of contributions from the




steel category.  The CEB model predicts that percentages of particulates derived




from steel emissions in Lackawanna are 3-4 times greater than similar percentages




which are projected for the Buffalo sites.  The negative value which is predicted




for steel emissions at Site 6 reflects the inability of the model to match the




chemical profile with the observed data.  A refinement in the CEB parameters




and modeling routines should eventually lead to positive values.  However, the




conclusion to be drawn here is that Site 6 does not receive any steel particu-




late emissions when project-average data is used.  Certainly on a single day




basis,  project information exists which strongly suggests that steel emissions




from Lackawanna can impact fifteen miles south at Site 6.  This  ocurrence is




infrequent because winds arriving from the north are infrequent.  Hence the




project average distribution summarized in Table 14 does not reflect this




possibility.




     The impact of percent FSP from oil particulates is relatively constant for




all sites.  An exception is noted at Site 1 where the percentage is doubled.




The generally low overall values suggest that little attention need be devoted




to this category in the development of SIP control strategies.  A similar trend




is observed for refuse contributions among the sites.  Percentages for each site




are fairly constant.   The overall low values are consistent with the knowledge




that major incineration facilities do not exist within the study area.  Further-




more,  any such facilities outside of the study area make little impact within



                                    10-13

-------
this area.  The five-fold increase which is observed for Site 1 is difficult




to explain.  At the moment it is believed that the chemical profile  for refuse




may not realistically represent the situation in NFAQCR.  The refuse marker




element is zinc and Site 1 has been shown to exhibit high zinc levels.  More




general knowledge suggests that zinc at Site 1 may originate from rubber tire




particles from nearby heavy traffic.  If the latter fact proves true, then the




CEB results are in error simply because the authors have failed to include




rubber tire wear in the automotive chemical profile.  An accounting of this




zinc source is easier said than -done since appropriate data does not exist.




In any event the refuse component using zinc at Site 1 may be overestimated.




Conversely the automotive component at Site 1 may be underestimated.  While the




"auto" percentages at the urban sites are uniform, an interpretation of data




from individual days can indicate a much greater impact at Site 1 from an auto-




motive source than at Site 2.  However, project-averaged data does not support




this theory under the present conditions of analysis.  The last category




(liming) in Table 14 can best be described as helping the CEB model in achieving




a balance of distribution.  Sources of calcium occur in the environment other




than from the categories represented by soil, steel, oil, refuse, auto, or




coal.  Cement operations do exist in the study area and may represent a contri-




bution to observed TSP.  More importantly, calcium particulates from the




abrasion of concrete roadways is expected to provide a larger contribution to




TSP than cement.  Relatively small sources such as these are not easily repre-




sented by singular chemical profiles.  In CEB modeling it is easier to combine




such non-related sources into one overall category.  Although the liming




category in Table 14 ranges only 2-7%, important information is contained




within this source and represents some of the finer details of the overall TSP-



picture.



                                     10-14

-------
     While the data from all six sites have been individually analyzed (pp. E2-




E5), a composite average is provided by the CEB program and results appear on




page E-8.  It is recognized that the particulate aerosol at the rural site is




much different from the urban sites, so that perhaps the average fit here is




somewhat confusing.  We recognize now that more meaningful data would have




resulted from an average fit of all urban sites, which then could have been




compared directly to the Site 6 data on page E-7.  Nevertheless, one finds that




the  CEB model considers soil and automotive sources to represent 40% each, or




80%  combined, of the total predicted TSP.  The average steel contribution to




TSP  at all sites is 12.5% but would increase slightly if the rural site was




deleted  from this analysis.  An additional data summary is presented on page




E-9  where data  from the product of the source strength coefficients, mj , and




the  marker element concentrations are tabulated in ng/m^.  This data allows one




to readily compare the predicted concentrations within the respective source




categories for  the marker elements only.




     Now that results from the fine particulate fraction have been interpreted,




a  similar analysis is extended to the coarse particulate fraction.   The CEB




analysis of  the coarse particle data is identical to the fine particle case




except that  ideally all of the six source chemical profiles are replaced.   In




actuality, chemical profiles were not available to us to describe the soil,




steel, and liming categories for the coarse fraction.  In these instances, we




could only use the profiles which represent bulk samples.




     The six-source CEB analysis is found in Appendix F and is summarized in




Table 15.  The coarse particulates are mainly attributed to a soil component




which comprises approximately 80% of the overall predicted CSP concentration.




This percentage drops at Sites 4 and 5 because a steel component becomes evident
                                    10-15

-------
        TABLE 15.   SIX SOURCE CATEGORY DISTRIBUTION SUMMARY (% CSP)




                          Steel     Oil     Refuse     Auto     Liming
1
2
3
4
5
6
79.5
79.0
79.5
67.3
66.6
96.4
-.7
.1
-.4
4.3
3.8
-6.0
.1
.1
.1
.1
.1
.2
.5
-.1
.0
-.7
-.3
1.2
6.0
5.0
4.9
4.4
4.3
2.7
14.7
16.0
15.9
24.6
25.5
5.5
and the liming category increases significantly.   At Site 6 the soil component




reaches its maximum of 96.4%.  It is to be expected that much of the coarse




particle fraction consists of soil particulates.   The separation of large and




small particles was taken into account in the.design of the operation of the




dichotomous samplers.  Because the conduct of this study is new to us and to




New York State and necessary literature data is still incomplete, the absolute




values of the numbers resulting from this investigation may not be entirely




correct.  However * the type of distribution which is noted for Site 6 in




Table 15 seems reasonable when one considers the nature of the surroundings for




this rural station.  The negative values associated with the predicted steel




and refuse components indicate that the CEB program and/or chemical profiles




need further refinement.  The automotive contribution is found to increase




continuously as one proceeds northward from Site 6 to Site 1, consistent with




the direction of increasing traffic density.  The liming category exhibits an




increase in 7, CSP at sites 4 and 5 which is above that observed for the Buffalo




urban sites.  This increase in % CSP in Lackawanna is believed to represent




input from slag/limestone operations which are associated with emissions from




the  steel industry.  This increment in %CSP should probably be added to the






                                    10-16

-------
4% figure which is evident in the steel category column (Table 15).  In effect,




the actual total steel emissions have been split between the steel and liming




categories because of the manner in which data was available for the respective




chemical profiles.  This problem is minor and may be rectified in future work




by the development of a chemical profile which is characteristic of the composite




plume representing all possible steel emissions.




     The average data for all six sites which represents the coarse particulate




fraction can be found on page F-8.  The "EST. % WEIGHT" factors are deficient




here since information regarding fine and coarse fractions of the respective




categories was not available.  We had no recourse at this time but to use the




same factor for either size fraction.  The resultant situation is obviously




incorrect since the marker elements are certainly not expected to be equally




dispersed by weight between the fine and coarse fractions for a given source




category.  Aside  from these shortcomings, coarse particulates are predicted to




be comprised mainly of soil and liming components to the combined extent of




94%.  In comparison to the average results for the fine fraction (page E-8),




one  finds that the soil component constitutes about twice its share in the




coarse  fraction as it does in the fine fraction.  Steel emissions (furnace-type




particulates) are predominantly found in the fine fraction as are automotive




particulates.  Refuse does not appear to represent an impact on coarse partic-




ulates, and only a minor impact in the fine fraction.  Calcium-containing




materials are chiefly found as larger particles in the coarse fraction.



SEVEN SOURCE RESOLUTION




     In an effort to define the major source categories which ultimately con-




tribute to the total observed TSP, one should include those categories which




account for at least 90% of the resultant TSP.  The previous sub-section




presents a CEB resolution which was conducted in this manner.  One could argue




                                    10-17

-------
that the list of the six source categories should have been altered  to  exchange




one or more items for other categories.  However, such freedom does  not really





exist.




     We have attempted to include in our final analysis another category which




has been an important consideration in other studies of this type.   The six




source categories are expanded here to seven to include particulates arising




from the combustion of coal.  The % FSP and % CSP resulting from the resolution




of the data appear in Appendices G and H and are summarized in Tables 16 and




17.  The values which are 'reported in Table 16 for the fine fraction for a




seven-source resolution are not really much different than the six-source data




in Table 14.  As a result of the inclusion of a coal category, contributions




from soil have been reduced 2-4 percentage units at each site.  Residual con-




tributions to the observed coal values in Table 16 have been redistributed by




the CEB program from the steel and auto categories.  The oil and liming distri-




butions remain essentially unchanged for either 6 or 7 source analysis. However,




the soil component is affected at all sites and one should be aware of possible




category interactions.  The chemical profiles of soil and coal are the most




similar of all other categories.




        TABLE 16.  SEVEN SOURCE CATEGORY DISTRIBUTION SUMMARY (% FSP)
Site #
1
2
3
4
5
6
Soil
40.9
45.6
41.9
29.1
23.4
68.1
Steel
5.3
8.7
7.0
19.0
20.4
-2.3
Coal
4.2
2.4
4.6
6.6
8.0
5.0
Oil
1.1
.6
.7
.4
.6
.7
Refuse
10.7
1.4
2.0
2.8
2.6
2.6
Auto
34.6
38.2
40.2
35.7
40.4
24.1
Limin!
-*
3.2
3.0
3.8
6.4
4.4
1.7
                                    10-18

-------
       TABLE 17.  SEVEN SOURCE CATEGORY DISTRIBUTION SUMMARY  (%  CSP)
Site #
1
2
3
4
5
6
Soil
«M«_^M»
77.0
75.0
76.7
59.5
53.0
103.0
Steel
6.3
9.9
8.9
16.6
20.7
-.3
Coal
-8.4
-10.0
-10.9
-7.4
-3.2
-13.7
Oil
.2
.3
.2
.2
.2
.3
Refuse
-.9
-2.1
-1.8
-3.2
-3.8
.1
Auto
7.9
7.0
6.9
6.0
5.8
3.9
Liming
17.9
20.0
20.0
28.3
27.3
6.7
     It should be realized that  a  resolution analysis which makes  use  of these




two categories results in a certain  amount of  internal  competition for the  same




chemical components during the distribution scheme.  It becomes  increasingly




difficult to interpret such results  and  to simultaneously  comprehend the subtle




interrelationships in the source categories.   For  instance, data for coal in




Table 16 indicates an increase at  Sites  4 and  5 and may represent  the  heavy use




of coal/coke from the nearby steel industry.   On the other hand, when  one attempts




to over-define the resolution analysis of a data system by employing too many




source categories, the CEB model simply  proceeds in a mechanical fashion to




develop the best fit to the data.  The additional  source categories may create




an unnecessary readjustment of the distribution of the  observed  chemical compo-




nent concentrations.  It is believed that at some  point human judgment must be




used to maintain the data analysis as simple as possible without seriously




degrading the final results.  Such results are aimed at eventual use in the




development of SIP control strategies, where an over-resolved analysis may not




be needed and may serve to unnecessarily complicate the problem of interpretation.




     The preceding discussion may  be reflected in  a comparison of  the  coarse




fraction data found in Tables 15 and 17. During the  fitting  routine,  the





                                     10-19

-------
additional category (coal) in Table 17 has provided more constraints which now




result in both larger and more frequent negative values for both  coal  and refuse.




Such results may indicate an attempt to overload the resolution program.  It may




also be argued that the chemical profiles for all categories are  not entirely




correct.  The fit to the observed data begins to deteriorate as evidenced in




the data for Site 6 (Table 17) where the soil component now emerges as  103% of




the CSP.  In an effort to accommodate the coal category, coal and refuse results




are forced negative while steel is significantly increased in the positive




direction to maintain balance.  Oil, auto, and liming results are hardly affected




at all.  It is too early at this time to conclude that the chemical profiles




contain large errors.  Certainly the profiles can always be improved.  Similarly




one cannot claim that a seven-source resolution is solely responsible  for the




deterioration in the results.  The chemical profile for coal is representative




of particulaues derived from coal-fired power plants.  Particulates arising from




large  stockpiles of coal, coking operations, and other industrial processes




using  coal in the Buffalo area may not result in a coarse particulate  fraction




which  is adequately addressed by the chemical profile used in this study.




     In the application of the CEB model to air pollution data within  the study




region, judgments must be made which consider the realistic emissions  and




characteristics of the aerosol within the urban-rural community so as  not to




unnecessarily complicate the number of source categories in the model.  Some of




the interpretations from this type of analysis are highly subjective and are




strongly dependent upon the input parameters.  It should be noted that many of




these  parameters are not well established because of their site dependent nature.




It is  hoped that the efforts of this study have defined the basic approach which




we have attempted to apply to the TSP aspects of air pollution  in Erie County.
                                     10-20

-------
While it is difficult to interpret how much of the observed TSP results  from




fugitive dust, reentrainment, etc., we are confident that such an approach




will eventually lead to a greater understanding of this complex problem.




PARTICULATE MASS BALANCE



     Despite all of the recognized shortcomings in this investigation and in




the interpretation of the data, the following information is presented for




review regarding a projected mass balance of suspended particulate (SP) concen-




trations.  In order to compare the predicted SP resulting from the CEB model




with the observed SP data, one must recall that background particulates are not




currently treated in this model.  Therefore, starting with the FSP fraction,




the predicted FSP value is added to the respective concentrations for sulfate,




ammonium, and nitrate ions to yield an estimated gross FSP concentration.  It




 is  felt that the background FSP levels are adequately represented by the sum of




 the concentrations of these three ionic particulates.  The trace metal concen-




 trations which are associated with these three ions as well as those which are




 associated with the remainder of the observed FSP are all included in the CEB-




 predicted FSP levels.  This data is presented in Table 18 for each site and




 includes similar calculations for the CSP fraction.  The data from this analysis




 is presented in Figure 28 for ease of interpretation.




     It is surprising to find such good agreement overall between the predicted




and observed SP concentrations.  In general, the CEB model has slightly under-




predicted the FSP contributions to the fine fraction at all sites, even after




attempts are made to include background components.  The amount of underprediction




ranges 14-23%.  This comparison is easily seen in Figure 28.  In a reverse fashion,




it appears that the CEB model has overestimated the predicted CSP concentrations




which range 32-90% above the observed values.  Upon summing FSP and CSP data to







                                     10-21

-------
       TABLE  18."  MASS BALANCE OF SUSPENDED PARTICULATE CONCENTRATIONS
Site
No.
1
2
3
4
5
6
FSP
SO/^ NH/+ NOo" Predicted
f if O
11.7 5.0 1.7 16.8
11.0 4.88 1.7 17.9
10.3 3.53 .65 13.5
11.5 3.92 1.17 19.6
10.9 3.55 1.01 19.1
7.75 2.69 .23 7.6
Sumtt
35.2
35.48
27.98
36.19
34.56
18.3
Observed
41
42
34
44
47
24
CSP
S04= NH4+
1.3 .25
.97 .13
.92 .10
1.28 .07
1.25 .05
.55 .06
N03~ Predicted
.48 30.8
.57 33.7
.55 28.9
.56 33.5
.6 33.9
.37 16.1
Sum''"'' Observed
32.8 20
35.37 22
30.47 19
35.4 26
35.8 27
17.1 9
IP
Total
Pred.**
68
70.8
58.5
71.6
70.4
35.4
Total
Observed***
61
64
53
70
74
33
  * All units are ng/m3




 ** Total Predicted IP = FSP-Sum + CSP-Sum




*** Total Observed IP = FSP-Observed + CSP-Observed




        = Total of 804= + NH4+ + N03" + Predicted SP

-------
                                 Projected Average Concentrations - SO4 * NH4 + NO 3
                                 Predicted Suspended  Particulates from CEB
                                 Predicted IP from CEB (= Predicted FSP + Predicted CSP)
                                 Observed IP (FSP or CSP or IP)
bu-
7O
60-
^ 50
Q.
I-H 40-
30-
20-
10

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IP FSP CSP IP FSP CSP IP FSP CSP IP FSP CSP IP FSP CSP IP FSP CSP
1 2 3-4 5 6
SITE NUMBER
FIGURE  28.   HISTOGRAM OF  PREDICTED AND OBSERVED SUSPENDED PARTICIPATE CONCENTRATIONS

-------
 obtain total concentrations,  the resulting IP concentration data for observed




 and predicted values  are found to agree exceptionally well with each other




(worst case is 11%). This analysis implies  that it may be possible to advance




 the model to improve  its resulting predictions with respect to CSP and FSP




 observed data.




      This comparison  between  predicted  and observed data neglects two other




 obvious constituents  of suspended particulates -  carbonaceous materials and




 moisture.  Carbon-containing  particulates  are visually identifiable on a




 majority of the fine  particulate filter samples.   However,  fine carbon possesses




 a very large unit surface area.   A small amount of this element can effectively




 cover large areas and yet represent only a very small percentage of the entire




 mass.  Similarly, moisture is believed  to  represent only a  small portion of the




 total SP mass.




      From the overall project, it is very  encouraging to realize that reasonable




 mass balances of suspended particulates may be within the grasp of investigators




 in the future.  A source category apportionment when combined with a particulate




 mass balance offers  considerably more information toward the development of




 particulate control  strategies than can otherwise be obtained from the traditional




 approach of dispersion modeling.




      The application  of chemical element balance  procedures to the study of




 suspended particulates in New York State is new to us.   The resulting data are




 expected to be controversial  and to have far-reaching implications in the design




 of control methods.   One can  envision use  of the  CEB approach to serve as a more




 effective monitor of  air quality in an  attempt to define net gains and losses




 resulting from the field installation of various  phases of a master particulate




 control plan.  The future monitoring of the chemistry of air particulates is




 essential to the interpretation and enforcement of regulations.  This fact is




                                     10-24

-------
especially true now as major changes are implemented  in  our  production  of




energy;  i.e.,  use of higher sulfur oil,  coal,  and synthetic  fuels.   Significant




changes  in the percentage use of these raw materials  for the generation  of




energy will possibly change observed TSP concentrations  but  will  certainly




change the chemical profile of air particulates.   These  chemical  changes  must




be defined and monitored in an effort to maintain an  air quality  which  is




consistent with our health requirements and the protection of the environment.
                                      10-25

-------
                                 REFERENCES

1.  Miller, M.S., Friedlander,  S.K.,  and  Hidy, G.M.   A Chemical  Element
    Balance for the Pasadena Aerosol.   J.  Colloid  and Interface  Science,
    39:165, 1972.

2.  Friedlander, S.K.   Chemical Element Balances and Identification of Air
    Pollution  Sources.   Environ. Sci.  Technol.,  7:235,  1973.

3.  Gladney, E.S., Zoller,  W.H., Jones, A.G.,  and  Gordon,  G.E.   Composition
    and Size Distribution of Atmospheric  Particulate Matter in  Boston Area.
    Environ. Sci. Technol., 8:551,  1974.

4.  Gatz,  D.F,  Relative Contributions of Different  Sources of  Urban Aerosols:
    Application of a  New Estimation Method to  Multiple Sites in Chicago.
    Atmos. Environ.,  9:1,  1975.

5.  Dzubay, T.G.  Chemical  Element  Balance Method  Applied  to Dichotomous
    Sampler Data.  Presented at the Conference of  Aerosols:  Anthropogenic
    and Natural - Sources  and  Transport,  New York  Academy  of Sciences, New
    York  City, New York, 1979.

6.  Neustadter, M.E., et.  al.   The  Use of Whatman-41 Filters For High Volume
    Air Sampling.  Atmos.  Environ., 9:101-109, 1975.

7.  Federal Environmental  Protection Agency.   Quality Assurance Handbook for
    Air Pollution Measurement  Systems, Vol.  II,  Ambient Air Specific Methods.
    EPA-600/4-77-027a.   May,  1977.

8.  Anderson,  J.F.   Lake Erie  and Particulate  Air  Pollution in Lackawanna and
    South Buffalo, New York.   Erie  County Department of Health, Division of
    Air Pollution Control,  Buffalo, N.Y., 1973.

9.  Anderson,  J. F.   Effects of Lake Erie  on Suspended Particulate Air Pollution
    in Lackawanna, N.Y. for 1974-1977.  Erie County Department of Environment
    and Planning, Air Resources Bureau, Buffalo, N.Y., March, 1978.

10.  Kowalczyk, G.S.,  Choquette, C.E., and Gordon,  G.E.  Chemical Element
    Balances and Identification of  Air Pollution Sources in Washington, D.C.
    Atmos. Environ.,  12:1143,  1978.

11.  Kowalczyk, G.S.   Concentrations and Sources of Trace Elements on
    Washington,  D.C.  Area  Atmospheric Particles Thesis, U. Maryland,  1979.

-------
                                APPENDIX A


     The  following data is tabulated for the fine and coarse particulate


fractions resulting from the dichotomous samplers.  The various chemical


species which were measured throughout the study are presented here as pro-

                                   3
ject averages for each site in ng/m .
                                   A-l

-------
FINE SUSPENDED PARTICULATES
              Site #

FSP*
Pb
Br
Zn
Ni
Fe
Mn
Gr
V
Ca
S
Si
Al
F
Cl
NO 2
P°4
BrS
N03
so4
Na
NH4
K
# of
Samples
1
41
682
921
171
7
684
30
1
14
309
5110
1830
558
33
74
253
6
51
1680
11700
192
5070
308

54
2
42
678
796
59
5
972
45
1
8
343
4970
1910
564
38
150
350
7
66
1700
11000
164
4880
336

46
3 "
34
552
636
50
5
644
23
1
7
292
4470
1410
449
39
54
197
23
46
647
10300
200
3530
312

70
4
44
740
641
123
6
1840
70
2
7
753
5250
1590
581
43
280
177
11
45
1170
11500
401
3920
847

64
5
47
823
645
124
7
1900
53
1
10
613
4930
1270
538
45
443
277
7
50
1010
10900
361
3550
1220

66
6
24
192
187
19
4
162
9
1
4
74
3300
1240
377
42
40
150
9
13
225
7750
134
2690
169

fis
*The units for FSP are u8/m3.
         A-2

-------
                 COARSE SUSPENDED PARTICULATES

1
20
161
209
20
5
1160
27
2
5
1860
689
5190
1010
13
213
• 23
24
7
482
1290
282
248
68

2
22
143
192
9
6
1480
44
2
5
2180
609
5400
959
14
165
24
9
30
571
970
159
134
67
Site
3
19
120
177
8
4
1170
26
1
4 .
1860
545
4710
825
22
241
16
0
5
548
916
182
104
44
#
4
26
120
184
15
5
2220
45
2
, 5
3280
745
4930
867
45
323
60
2
34
558
1280
311
68
68

5
27
120
200
22
« 5
2920
51
2
5
3470
724
4790
967
78
302
43
4
8
590
1250
210
52
92

6
9
43
85
3
3
284
6
0
3
392
290
3360
662
17
62
35
5
8
375
551
114
65
25
CSP*
Pb
Br
Zn
Ni
Fe
Mn
Cr
V
Ca
S
Si
Al
F
Cl
N02
P°4
BrS
N03
so4
Na
NH4
K
#of
Samples       54       46        68        64        66        68
                                              3
                   *The units for CSP are
                           A-3

-------
                                 APPENDIX B






     The data base for the entire project is listed here and represents all of




the dichotomous particulate filters which were collected for the fine particle




fraction.  Each filter is printed along with information describing the date




(month and day), elapsed time, sampled air volume (flow), meteorological data,




and concentrations of particulate weight and various chemical components.  A




series-20000 filter reflects the use of 0.5|-i pore diameter filters while the




series-40000 reflects the change to 1.0|j. pore diameter filters.  The series-




20000 filter data for fine particulates corresponds to the series-30000 filter




data for coarse particulates which is presented in Appendix C.  Similarly, the




series-40000 filter data for fine particulates corresponds to the series-50000




data for coarse particulates in Appendix C.






                          FILTER SERIES DESIGNATION




                                            PARTICULATES
                 FILTER PORE DIAMETER      FINE      COARSE




                        0.5n              20,000     30,000




                        1.0|i              40,000     50,000
                                    B-l

-------
N 1
***** Sift tf 1
FILItH H
U
It t\
20001 41
20021 49
20028 bJ
20036 Dl
20011 60
20080 61
20109 62
200dl 04
200d/ Ob
2009b 66
20100 6/
200 /J 6d
4000J 69
4000 7 /O
20201 72
40016 73
40022 /4
400J4 70
40040 7 /
4002d /b
20094 /9
20214 82
40046 dJ
400b2 84
400bd da
40064 8/
40O/0 db
400/6 89
401 Jo lOb
4OI33 lOo
40139 IO/
40144 lOb
40149 109
40lbb NO
40163 112
M
O
N
6
7
1
7
d
d
b
8
9
9
9
9
9
9
9
9
9
10
10
10
10
10
10
10
10
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1
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U
A
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27
19
21
25
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22
24
30
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7
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1 J
17
19
23
26
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1 3
23
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29
31
4
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2
9
1 1
Ib
1 /
21
27
TiMH
HHS
b.d
7.3
6.6
7.b
1 /.7
1 7.7
7.1
I/./
18.0
18.0
17.2
23.6
23.6
23.6
23.9
23.7
23.6
23.7
23.8
23.8
23.6
23.6
23.6
23.7
23. b
6.9
23.0
23.7
23. /
23.8
14.8
23.8
10.9
23. d
23.9
FLom
M**3
12.2
ID./
Ib.l
Jb.2
41 .1
39.0
17.7
43. 1
4b.3
43.4
43.7
b6. 1
b3.2
b4.0
bO.O
bl .2
b 1 .6
b4.l
bb.2
b4.4
42. d
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70.3
70.6
6/.b
19.7
66.3
6b.b
70.1
08.6
42.9
68. /
31 .2
71 .6
/0.9
HIND
UIU SFU
LIEG MHli
212
193
20b
209
156
238
21 1
Id/
23b
284
204
4/
bl
32
92
20b
1 14
163
274
1 68
Ib
313
192
lob
219
209
254
1 16
2bd
221
190
243
244
336
23 /
b
6
b
b
3
4
/
3
1
3
1 1
9
3
4
2
3
2
d
10
3
2
6
10
b
6
b
3
2
/
12
1
14
6
4
6
A G A H A FRONT
FliMH PArtflCULATb
FSP
UGM/
M**3
73
122
1.16
b2
40
36
86
29
31
33
93
12
Ib
19
Ib
29
22
28
7
3d
26
19
57
17
bb
67
1 7
bl
20
bl
39
31
34
Id
42
«
577
I3d2
771
IOJ2
616
b6b
831
40d
I4ld
3d9
723
392
4/4
4o 1
1 153
12/4
I6o8
lOOb
293
II //
6/b
240
1 1 la
b4d
996
30bb
263
1631
320
721
/9I
b/2
713
330
306
BH
181
783
743
13/6
Ib26
1 186
40/
630
2393
3/6
29d
491
768
b89
2215
1948
3lb2
774
464
I90b
1037
292
8b9
670
963
5920
484
2658
464
1 99
1973
373
10.15
380
b09
I t H S f U U Y
DATA (PART - 1
ZN
1426
246
165
1622
60
28
368
19
73
54
507
22
2
20
2
13
21
43
2
20
54
94
431
1
399
21
45
Ibl
25
96
38
131
26
1 1
247
NI
1 1
8
9
9
3
3
31
3
9
3
3
2
2
2
2
5
5
2
2
17
3
7
3
1
16
14
4
8
9
22
16
16
8
9
9
) *****
Fli MM
NANOGHAMS/M**3
1551
3337
1 120
884
882
461
925
3.98
562
440
1750
330
10
1 79
108
327
249
705
45
568
598
144
3260
1 19
1872
484
408
7/2
165
3817
465
615
186
40
44
45
52
27
9
. 23
10
54
3
27
22
63
83
2
43
2
13
37
25
b
22
64
9
84
17
65
28
10
42
1 1
125
19
16
8
1
1
CM
1 1
0
0
0
6
7
7
6
6
3
3
2
0
0
5
0
0
0
0
0
3
0
3
3
0
0
0
6
0
2
0
0
0
0
0
\7
11
17
48
9
3
7
39
3
33
15
6
12
2
23
2
5
5
2
2
42
9
II
1
15
22
7
4
a
15
10
19
20
4
23
1 1
CA
1245
4435
422
656
272
195
313
017
308
216
288
I7b
28
223
127
292
4bO
168
62
45d
210
403
782
72
477
196
2
214
69
300
255
463
9J
30
124
S
5560
26863
20086
6820
2718
4879
.16830
2627
2983
3171
43038
372
833
1397
640
2335
904
3360
451
4535
1396
1756
6000
1621
6574
4853
499
5940
2707
7210
3314
5764
4894
1890
7160

-------
w
                                             NIAUAHA   HHONTIHR



                                   S I T t  it   I   FINE. HARTICULATE   UATA
S T U 0 Y



     (PAHT - I )
*****
FILThli
*
40164
40170
40176
40182
40187
40193
40.1 yy
40205
4021 1
402 1 7
40223
40228
40234
40240
4O246
40252
40258
4O264
40270
rt
U
13
14
15
16
17
18
19
120
121
122
123
124
I2b
126
127
128
129
130
131
M
0
N
1
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
0
A
Y
30
2
6
8
12
14
20
22
26
28
4
7
10
14
16
20
22
26
28
TIMH
HWS
23.8
24.0
11.6
23.9
22.0
12.0
6.7
14.1
23.8
9.5
23.8
20.6
23.9
23.9
23.8
1.9.3
23.8
23.9
23.8
FLOrt
M**3
71.8
69.7
35.1
69.3
63.7
34.7
19.4
41.7
67.9
28.1
52.9
46.4
52.7
54.2
53.8.
43.2
52.0
52.7
53.0
HIM
UIH SPU
UEU MPH
277
254
241
251
43
68
220
247
43
220
I/I
61
23a
243
232 .
24 /
28
253
177
9
10
3
13
3
4
6
6
11
4
15
4
13
15
12
1
2
13
7
FSH
UGM/
M**3
II
25
51
31
27
48
82
71
15
66
23
36
49
33
54
53
29
20
25
,„
233
449
730
293
436
323
932
481
142
597
180
444
270
311
2/8
631
588
215
409
dK
366
586
620
517
719
555
113
670
32
538
285
426
307
398
525
1099
802
35 /
830
ZN
5
55
675
800
21
327
242
53
34
1 12
2
35
60
28
100
64
13
2
67
NI
9
9
3
25
2
3
7
3
2
4
2
2
IO
7
2
3
2
/
2
FE MN
NANOUKAMS/M**3
77
157
193
129
69
207
3097
139
93
1515
IO/
319
552
457
574
772
293
144
537
9
7
15
9
6
15
149
3
6
133
5
56
13
25
20
41
18
0
15
CR
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
V
13
13
31
45
2
39
7
39
12
4
5
14
18
45
12
3d
13
26
7
CA
48
222
395
327
102
918
484
311
79
488
81
190
212
235
198
689
309
186
472
S
1325
3770
8046
4900
1410
7134
J3600
8390
165.9
7739
4032
4662
6503
3578
5909
4091
1924
2907
2114
      STATISTICS
                                       A\/i£kAGt:    40.5   682.5   921.2   I/I. I
                                                  25.4  501.9   964.3  318.5
  1.0  684.3   29.9
  6.4  886.0   33.5
  1.4   14.0  309.0 5105.1
  2.5   II.2  283.9 4975.8
                                      UtYJATKM

-------
*****
FILTbH H
J
rf N
20001 44
20021 49
20028 bO
20036 3l
20077 00
20080 6 1
20109 62
20081 64
2008 / 63
2009b 66
20100 o/
20073 68
40003 69
40007 70
20201 12
40016 73
40022 74
40O34 /6
40040 //
40028 7d
20094 79
20214 82
40046 83
40032 84
400b8 83
40064 87
400/0 88
400/6 89
40136 103
40J33 106
40139 IO/
40144 lOd
40149 109
40.1 b8 NO
40J63 112
M
O
N
6
7
7
7
d
8
8
0
9
9
9
9
9
9
9
9
9
10
IO
10
.10
10
10
10
10
1
1
1






J
U
A
Y
21
19
21
2b
18
22
24
30
1
7
1 1
13
17
19
23
26
29
b
7
N
13
23
2b
29
31
4
/
10
2
9
1 1
Ib
1 7
21
27
TIMB
rtKS
b.8
7.3
6.6
7.5
J 1.1
17.7
7.1
J/.7
18.0
18.0
1 1.2
23.6
23.6
23.6
23.9
23.7
23.6
23.7
23.8
23.8
23.6
23.6
23.6
23.7
23.5
6.9
23.0
23.7
23.7
23.8
14.8
23. d
10.9
23. d
23.9
FLOrt
M**3
12.2
15. /
Ib.J
.lb.2
41 .1
39.0
17.7
43.1
4b.3
43.4
43. /
b£.l
b3.2
b4.0
bO.O
bl .2
bl .6
b4.l
b3.2
b4.4
42. d
b8.6
/0.3
70.6
67. b
19. /
66.3
68. b
70.1
6d.6
42.9
6d.7
31 .2
/I .0
/0.9
N
b i f b #
rill
UIH
UHG
212
193
20 b
209
Ib6
23d
2 1 1
187
23b
284
204
4/
bl
32
92
203
1.14
163
2/4
168
Ib
313
192
I6b
219
209
2b4
1 16
288
221
190
243
244
336
23/
NlU
SHU
MHH
b
O
b
b
3
4
7
3
1
3
1 J
9
3
4
2
3
2
8
10
3
2
6
10
b
6
b
3
2
7
12
J
14
6
4
O
I A U A H A F ti 0 N I
1 FlNh HArtTICULATE
SI

b424
7933
3381
2407
Ib29
1399
5231
. |238
2252
2613
3117
3878
398
1046
704
1580
2071
1480
188
3141
33/1
1294
2600
854
2/95
1074
150
3867
1094
1 139
894
544
3169
144
296
AL

838
65)
679
0/4
249
2o2
530
238
135.7
692
888
4/9
192
84d
709
9/7
1 169
452
I8b
1090
lOld
1 74
74 /
I4b
492
2136
134
774
4/4
149
239
149
I28b
2d9
J/4
F

163
0
179
Ib7
72
51
169
46
66
69
45
0
0
3/
0
0
5d
0
0
55
70
0
0
0
29
50
30
0
14
29
0
43
96
0
0
I E H
DATA
INI03

4292
445
145
427
97
128
396
255
66
lib
183
53
2o3
185
JOO
254
0
0
36
36
1517
272
996
368
3168
4513
844
9/8
136-9
1327
2059
1092
480
1409
3284
S f U U Y
(PAHT - 2 )
CL

dl
19
159
1 1 1
24
/6
0
69
0
0
45
53
b6
b5
20
117
0
18
12
0
0
68
455
99
103
50
0
0
99
58
23
0
0
2/
0
S04

14390
12949
54446
10849
7297
11666
37960
5318
6d8b
6680
46977
784
2144
3bb5
1701
6331
2034
7996
797
10540
3618
5285
17805
3510
1 75b9
1 1 Ob4
2066
14905
5821
17558
6111
1 1649
85/8
4633
22839
N02

0
305
318
263
0
0
0
0
88
46
0
0
338
0
0
0
0
0
416
0
280
0
1095
608
533
405
678
0
684
787
0
0
0
2456
1099
*****
NA

588
1061
663
197
145
102
453
139
154
69
572
178
0
0
120
58
58
92
0
73
140
238
441
184
222
304
105
175
42
58
233
43
96
1 II
0

P04

0
0
0
0
0
0
0
0
66
69
0
0
0
0
0
0
0
0.
0
0
70
0
0
0
0
0
0
0
0
0
0
0
0
0
0

«,4

4946
19275
17241
3949
2529
4538
13533
1463
2383
2741
9594
71
940
1259
460
2051
290
2991
326
4102
1657
2796
4312
1642
7254
8164
754
392 /
4437
7714
6018
7936
5985
3433
13788

BK-S

0
0
0
J84
243
179
0
1 16
308
0
0
71
1 12
.92
280
0
426
0
90
257
0
0
0
0
0
0
0
379
0
0
0
0
0
0
0

K

858
2733
464
329
145
25
0
185
44
184
366
17
0
0
20
0
0
166
144
0
233
0
1323
0
222
0
120
291
71
131
209
72
.0
0
0

-------
          N I A U A H A  F H 0 iM T I t H  STUDY

SITE  #  I   FINE  HAMriCULATE  DATA        (PAHT - 2 )
                                                                                             *****
FILTEH
40164
40170
40.1 76
- 40182
40187
40193
. 40 1 99
402 Ob
40211
4021 7
40223
40228
40234
40240
40246
402b2
40258
40204
402 /O
K
U
N
13
14
15
16
17
18
19
120
121
122
123
124
I2b
126
127
128
129
130
131
M
0
N
1
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
0
A
30
2
6
8
12
14
20
22
26
28
4
7
10
14
.16
20
22
26
28
TIME
riKS
23.8
24.0
11 .6
23.9
22.0
12.0
6.7
14.1
23.8
9.5
23.8
20.6
23.9
23.9
23.8
19.3
23.8
23.9
23.8
FLOH
M**3
71.8
69.7
35.1
69.3
03.7
34.7
19.4
41.7
6/.9
28.1
b2.9
46.4
52.7
54.2
53.8
43.2
52.0
52. /
53.0
till
UIK
UEG
211
254
241
251
43
68
220
247
43
220
171
61
235
243
232.
247
28
253
1 77
ID
MPri
9
10
3
13
3
4
6
O
11
4
15
4
13
15
12
1
2
13
7
SI
472
451
778
806
726
1757
4293
979
538
1574
395
2344
417
82o
15.76
2.183
1630
512
1260
AL
142
445
292
147
160
603
1673
245
350
365
193
220
194
447
556
997
197
194
905
F
0
0
0
14
47
0
51
0
0
35
0
21
18
0
18
0
38
18
0
N03
654
1205
4107
2581
1569
4066
411
3953
529
4882
113
3144
67/5
2362
10044
62DI
3328
1744
1262
CL
0
258
0
0
15
57
0
167
0
0
0
0
0
258
390
416
0
94
395
S04 riO2
NANOGHAMS/M**3
2395
9471
18311
10757
2699
13383
35116
24083
27o7
18674
67/2
10833
19 tid9
10391
15941
8288
3963
7224
5202
459
846
1340
0
0
0
0
0
0
0
0
0
0
350
0
0
0
0
282
NA
55
172
85
43.
204
317
565
167
117
64 J
227
0
0
221
130
0
0
0
301
F04
97
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Nri4 BR-S
2423
2683
15744
8161
2574
4182
1 6555
7117
1015
6450
2251
3833
6054
3525
6045
4144
2232
2806
1319
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
O
0
0
K
69
0
256
201
0
288
0
239
176
1888
378
581
835
461
911
717
519
189
584
                                 AVHHAOt   1826.2   558.4   33.'l  1680.2   74.2  11675.0  253.3  191.8    5.65066.9   50.7  308.2
STATISTICS
                                 STANDARD  IS4/.2  429.6
                                UbVIAflON
                             4b.9 2077.2 114.3 11023.5  4S3.6  211.7   20.3 4581.0  106.2  493.8

-------
N I
***** s I T E # 2
FILTER
if
20002
20008
20022
20029
200/1
20066
201 10
200b2
200bb
201 12
20231
40002
40008
20202
40017
4002J
400 JJ
40041
400J3
20122
4004 /
40053
40059
4006b
40071
400/7
40143
40J6b
401/1
401 77
40183
401 bd
40194
40200
40200
rt
U
N
40
41
49
bl
60
61
62
64
63
61
68
69
70
/2
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74
16
11
78
dO
83
84
db
Bl
88
89
12
13
14
13
16
1 /
18
19
120
M
0
N
6
6
/
7
8
8
d
b
9
9
9
9
9
9
9
9
10
10
10
10
10
10
10
1 1
1 1
1 1
1
1
2
2
2
2
2
2
2
U
A
V
2b
27
19
23
Id
22
24
30
1
1 1
13
17
19
23
26
29
b
7
1 1
1 /
2b
29
31
4
7
10
21
30
2
6
d
12
14
20
22
TIME
6.1
0. I
8.8
13. b
18. 1
10.3
18. 1
Id. 1
lb.3
0.8
23.4
20.8
21 .8
24.0
24.0
24.0
24.0
24.0
12. b
23.7
24.0
24.1
24.1
13. 1
20.1
22.7
24.2
24.2
24.3
1.2.0
24.3
22. /
24.3
1 1 .4
13.2
FLO.rf
M**3
12. b
12. b
18.3
2/.I
43.8
20.4
38.0
3d. 8
32.2
14.6
30.3
4J.2
45. /
4/.J
bO.3
bO.3
b2.7
b3.l
26.0
48.7
52.8
b3.2
49.8
2d.O
42.2
bO.O
b3.0
b2.d
53.7
26. b
b2.d
bO.O
b3.4
26.2
2U.9
MlNU
UIH Sh>U
UEG MHH
226
212
193
209
Ib6
23d
21 1
187
235
204
47
bl
32
92
205
1 14
163
2/4
168
64
192
165
219
209
254
1 16
237
27/
254
241
2bl
43
68
220
24/
b
b
6
b
3
4
7
3
1
1 1
9
3
4
2
3
2
b
.10
3
1
10
4
6
b
3
2
6
9
10
3
13
3
4
6
o
A G A K A F H 0 N T
HSH
UGM/
M**3
29
82
109
b2
39
48
74
28
50
db
7
IB
23
14
22
15
23
25
50
23
41
20
48
84
22
59
2b
2b
30
b4
53
34
25
64
7d
,„
805
1077
680
33 /
5o9
2/1
710
1 102
1 122
956
294
724
966
1004
/I3
J003
2/3
1388
1506
17/6
595
633
653
968
1 165
20/3
127
653
649
287
40 /
7/8
327
381
339
»
1247
177
120
331
1 101
108
965
1880
1458
151
415
1250
1202
1696
80J
1518
160
203
2034
3649
359
952
314
726
1569
3628
I2/
238
275
523
398
1 142
360
I9b
633
I E ti STUDY
DATA (HAHT -
ZN
1 1
144
392
61
41
6
65
J07
81
94
2
3
3
2
2
8
26
117
63
25
123
2
63
135
16
144
2
NO
41
02
65
38
44
137
14
Ml
1 1
1 1
7
5
3
6
3
3
4
9
2
6
3
b
2
2
2
7
b
2
10
13
8
9
3
22
5
2
2
5
2
2
2
3
4
| ) *****
FE MN
NANOGHAMS/M**3
342
2843
2085
755
1025
665
459
628
675
4206
30
19
109
102
517
104
522
3033
7/2
2/2
2626
179
1618
1248
157
928
88
I9b9
930
847
1285
676
184
682
503
1 1
144
60
25
34
13
21
21
34
142
0
3
9
2
19
1 1
18
80
42
34
68
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50
02
9
1 10
5
65
23
52
52
108
15
63
19
CH
II
0
0
5
3
6
0
3
4
9
0
0
0
2
0
0
0
0
0
0
2
2
0
4
0
5
0
0
0
0
0
0
0
0
0
V
II
II
7
JO
6
6
3
JO
21
18
5
3
6
2
2
5
2
2
10
8
7
26
II
4
3
J3
2
2
10
5
2
8
18
21
9
CA
99
488
I2J6
418
322
380
331
321
649
947
57
32
308
114
322
137
131
498
505
2/8
1338
143
964
745
Io4
371
.10
246
201
313
215
177
85
285
62
S
2957
8752
24065
8122
4111
6751
8245
2712
4681
13234
368
907
1678
694
2122
1038
2909
2764
5447
605
4793
21 10
5569
12354
1251
6336
3353
2538
2809
6399
6733
2381
2743
12870
1 1273

-------
ea
                         *****
          N 1 A U A H A  F H 0 N T  J  K H



S I T bi  It  2   FINk:  PAWTICULATt   UATA
           STUDY



                (PAHT - I  )
                                                                                                    *****
FILThR
*
40212
40218
40224
40229
4023b
40241
4024 /
402b3
402b9
402 6b
4027 1
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U
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J2I
122
123
124
I2D
126
1.2 /
128
129
130
131
A
0
ri
2
2
3
3
3
3
3
3
3
3
3
U
A
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26
28
4
7
10
14
16
20
22
26
28
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24.3
16.3
24.3
24.2
24.2
24.2
24.3
16.6
24.3
24.2
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M**3
b2.0
3b.4
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b2.2
bl.3
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bl.4
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43
220
171
61
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243
232
247
28
2b3
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1 1
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4
13
Ib
12
1
2
13
1
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UUM/
M**3
18
88
19
31
38
36
32
76
35
34
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NI
Ft
MN
c«
V
CA
S
NANOGLMMS/M**3
2bD
363
132
392
202
307
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2 06
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46b
134
b!7
2b6
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2 Ib
823
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249
409
42
121
2
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37
42
31
39
32
37
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3
2
5
2
2
2
3
2
2
2
378
1549
460
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2381
191
1898
643
2961
487
213
86
21
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26
79
13
66
21
81
16
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3
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0
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2
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U
10
D
2
5
2
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238
21
188.
Ib3
203
130
916
468
303
196
1846
7106
3207
4535
5234
4008
2703
5057
3085
3851
2226
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               41.5. 678.1
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4.8  972.4
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      STATISTICS
    STANOAHD   24.0  438.3  807.6   67.0
                                                                                3.9  970.6    44.0
I.4    8.5  343.2 4968.1
                                  2.5    6.5  308.9 4338.0

-------
00

HILT tin
it
20002
20OOd
20022
20029
200/1
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201 10
20082
200dd
201 12
20231
40002
4000d
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4001 /
4002J
400JJ
40041
400Jb
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400bJ
400b9
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40194
40200
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9
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10
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22
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)
*»

0
0
0
147
0
156
0
103
124
0
0
323
0
0
39
596
0
339
1230
0
454
657
0
1083
0
0
0
0
0
1851
0
0
0
0
0
*****
NA

0
320
654
221
182
490
105
180
217
347
158
0
0
105
39
0
75
320
346
20
397
150
260
139
142
220
18
246
223
37
0
260
206
229
0

P04

0
0
0
0
0
0
0
103
124
0
0
0
0
0
0
0
0
0
0
0
0
0
0
a
0
0
0
0
0
0
0
0
112
0
0

NH4

3513
8299
1 1 729
6561
3313
8190
9839
2267
372/
1 1696
0
8JJ
1399
465
1729
835
2843
6/8
4959
61
2102
1935
5380
12443
68 /
4562
8259
1742
21 //
13298
14437
4/43
2061
18348
9b94

dH-S

0
0
0
73
137
0
78
257
186
0
79
161
196
232
1 19
39
0
0
230
574
0
0
0
0
165
520
0
0
0
0
0
0
0
0
0

K

637
1900
981
368
1 14
441
0
128
62
0
0
0
0
21
0
0
1 13
810
307
0
1 193
0
521
244
1 18
400
94
4b4
0
340
170
0
187
0
450

-------
w
                                             NIAUAHA  I-' H 1) M T  I h H   STUUY

                                   S 1 T if  it  2   HINb  HAKfieULATE   DATA         (HAHT - 2 )
                                           *****
FILTbH H
J
# N
40212 121
40218 122
40224 123
40229 124
4023b 12D
4024 J 126
40247 127
40253 128
4O259 129
4O26b 130
40271 131
M
()
N
2
2
3
3
3
3
3
3
3
3
3
U
A
Y
26
28
4
/
10
14
16
20
22
26
28
TIMb

liHS
24.3
16.3
24.3
24.2
24.2
24.2
24.3
16.6
24.3
24.2
24.3
FLOW

M**3
b2.0
3b.4
51.4
52.2
51 .3
52.3
52.0
3b.4
bO.d
bl .0
bl.4
til
Dirt
UHG
43
220
171
61
235
243
232
247
28
2b3
177
rtU
SHU
MPH
11
4
Ib
4
13
Ib
12
1
2
13
'
SI

AL

F

N03

CL

S04

N02

NA

P04

Nd4

BH-S

K

NANOUHAMS/M**3
3407
1608
202
1242
456
198
812
3323
1092
.1099
1188
I9/
289
199
703
199
196
I9/
696
436
200
199
0
06
0
0
19
0
b/
0
78
0,
0
327
12602
194
1572
3118
17/8
6328
8931
3522
1293
836
0
254
0
0
214
2JO
96
1752
78
509
J94
2885
15286
5/20
9950
13060
93b3
6443
10712
5509
IO248
5331
0
0
8328
0
0
688
0
0
0
0
0
153
0
0
0
0
229
.134
0
334
0
194
0
0
0
0
0
0
0
0
0
0
0
904
6166
2101
3259
4600
3404
3750
60/6
2558
3625
1362
0
0
0
0
0
0
0
0
0
0
O
134
0
428
364
487
478
673
960
590
666
603
                                       Ak/£HAUh:  1908.1  b64.0   37.9  1702.0  149.6  J 0969.7   350.4  164.1
                                                    7.4 4880.6   66.2  335.6
     STATISTICS
                                       STANDAHU 1684.8
                                      UB/IATION
491.9   bl.6 2520.I 309.b  8645.5  1261.2   157.9   28.34356.8  129.0  388.1

-------

FILTbH
20003
20009
20024
20032
20038
20033
200b3
20060
200b9
200/3.
20072
2O064
20IO/
20083
2008V
20096
20098.
2021 1
40006
40009
20203
40018
40024
40031
40030
4003Q
2012 /
202 Ib
40049
400b4
40060
40066
40072
40078
40091

a
40
41
49
30
bl
54
55
56
58
59
60
ol
62
04
63
66
61
68
09
70
.72
73
74
76
II
7d
BO
82
B3
84
d3
d7
Bd
89
93

M
0
N
6
6
7
7
7
d
8
B
8
B
8
B
B
B
9
9
9
9
9
9
9
9
9
10
10
10
10
10
10
10
10
1 1
II
1 1
II

u
A
Y
25
27
.19
21
2t>
2
6
8
12
13
IB
22
24
30
1
7
1 1
13
17
19
23
26.
29
5
7
II
1 /
23
2b
29
31
4
7
10
22
*****
TIME
HKS
b.6
5.9
12.5
17.7
18.2
16.4
17.2
10. B
13.5
18.2
18.2
18.1
12.5-
18.1
16.7
18.2
17.6
24.1
24.1
24. 1
23.6
23.7
23.6
23.8
23.7
23.7
23.6
23.5
23.7
23.7
23.7
16.6
22.5
23.7
23.6
t
FLOrt
M**3
1 1 .6
12.3
2b.8
36. b
3/.4
31 .0
3b.l
21 .1
2b.6
34.8
36.3
35.4
23.8
37.4
34.3
3b.4
36.1
49.6
bo. 3
bO.2
43.2
49.4
4V. O
49.4
50.2
48.1
48.7
47.3
49.3
49.5
49.1
34.6
47.0
49.5
31 .B
S I T
N I A G A H A F ti O N T
b tf 3 FINE HArtflCULATb
HINU
OIH SPU
UbJ MPri
226
212
193
203
209
I9/
330
219
181
150
156
238
2 1 1
187
235
284
204
47
51
32
92
205
1 14
163
274
168
64
313
192
165
219
209
254
1 16
281
b
5
6
5
5
6
2
13
4
4
3
4
/
3
1
3
II
9
3
4
2
3
2
8
10
3
1
6
10
5
6
5
3
2
4
FSH
UUM/
M**3
38
67
Bd
92
38
48
35
69
50
57
26
42
93
21
39
2b
95
6
14
16
13
Id
17
12
9
32
19
19
0
75
42
75
49
51
16
,.
1330
1904
653
629
540
366
59|
334
346
544
731
446
769
747
1364
429
402
226
753
556
1 126
886
I44/
75
146
981 .
1536
280
0
63 /
538
935
1 105
1645
618
till
2117
664
83
322
b2l
/I
489
b3l
b6d
302
I2db
426
b7l
821
1834
394
61
343
959
722
1938
928
.2344
120
159
121 /
3b26
412
0
716
363
1 191
1745
2765
1292
I b H S f U D Y
DATA (PAliT - 1
ZN
II
67
91
269
25
35
31
45
48
51
26
23
635
1 1
80
19
72
2
2
2
3
1 1
2
2
2
34
2
46
0
0
67
403
2
125
2
MI
23
II
5
3
44
17
3
6
5
3
3
3
1 1
3
4
3
3
2
2
2
3
2
2
14
2
b
2
d
0
0
14
3
8
13
2
Fb
309
4620
1650
1570
614
599
244
1796
400
671
476
587
4842
440
485
324
1504
1 1
24
46
76
260
104
434
104
371
210
134
0
0
1203
10/5
135
596
61
) *****
MN
1 1
112
26
26
14
13
7
45
27
27
19
19
52
22
32
23
46
2
2
5
9
14
16
8
0
14
25
14
0
0
45
43
II
39
0
CH
II
0
5
0
0
0
0
6
5
3
3
7
5
3
4
3
7
0
0
0
3
0
0
0
0
0
0
0
0
0
0
3
0
2
0
V
II
II
5
3
3
17
3
6
46
19
3
3
1 1
7
4
3
/
5
2
5
6
2
2
II
5
8
2
II
0
0
II
3
1 1
2
2
CA
/I
1228
814
660
470
187
43
452
119
59
87
207
577
144
272
218
3/6
47
63
187
73
182
149
75
5/
198
224
84
0
114
603
687
129
173
155
S
2534
6107
15859
42670
6395
7528
4503
12459
6388
7437
2853
5181
11943
2115
3876
3191
46025
332
984
1613
725
1632
1 165
2087
1433
4226
654
1968
0
2377
5249
40891
1376
5959
1335

-------

FILTEK
*
40088
40099
4O097
40103
40107
401 10
401 14
401 18
40123
40122
40135
4O134
40013
40145
40150
40157
40162
40166
40 1 72
40l7d
40184
40189
40195
40201
4O2O7
40213
40219
40230
40236
40242
40248
40234
40260
40266
40272

H
U
ri
94
95
96
9/
va
99
101
102
103
104
105
106
107
108
109
10
12
13
14
15
16
17
18
19
120
121
123
124
123
126
127
126
129
I3J
131

M
{)
N
U
II
12
12
12
12
12
12
12
12








2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3

U
A
Y
28
30
4
6
10
12
lo
19
22
28
2
9
II
15
17
21.
27
30
2
6
8
12
14
20
22
26
4
/
10
14
lo
20
22
20
28
*****
TIME
HKS
23.7
23.6
23.7
23.7
23.6
23.7
23.7
23.6
23.7
23.7
23.7
23.7
15.8
23.7
20. 6
15.3
23.8
24.0
24.0
18. b
24.0
22.9
Ib.l
9.9
14.3
23.5
24.0
24.0
24.0
24. 0
24.0
19.2
24.0
24.0
24,0
N I
SITE » 3
FLOrt
M**J
52.5
46.7
47.6
40.1
47.4
47.8
48.1
49.3
49.6
50.3
50.5
4d.3
34.4
47.6
41 .d
31 .4
52.1
52.5
52.4
41.3
52.4
50.1
39.3
21 .6
31 .0
50.5
50.7
51.2
50.3
51.5
51 .0
40.5
49.7
50.1
50.9
MlNU
DIM SHU
DEO
9d
80
43
75
103
37
209
307
229
322
288
221
190
243
244
336
237
277
254
241
251
43
68
220
24 /
43
171
61
235
243
232
247
28
253
176
MHH
7
9
17
O
12
9
10
3
12
4
7
12
1
14
6
4
6
9
10
3
13
3
4
6
6
II
15
4
13
15
12
1
2
13
1
AUAHA FHONT
FINE HAKTI CULATE
UOM/
M**3
26
31
22
35
6
28
35
24
22
42
1.9
33
42
22
26
36
23
14
14
37
19
25
30
70
48
12
16
27
39
30
53
46
30
16
16
»
BH
I E K S T U 0 Y
DATA (t^AHT - 1
ZiM
NI
FE
) *****
MN
Ctt
V
CA
S
NANOGHAMS/M**3
226
204
346
460
87
269
354
359
296
1 112
186
450
547
332
397
312
III
3/
290
532
162
618
410
1020
290
150
I2d
461
429
276
559
603
51V
116
160
300
136
46
47d
46
46
363
457
3d5
1 145
216
292
1104
171
222
308
146
200
454
566
42
806
408
468
227
43
234
424
129
104
353
718
885
174
440
21
32
26
60
2
09
63
42
30
68
8
71
40
96
19
4
2
2
Jl
93
13
8
63
346
13
2
2
8
63
16
97
47
47
2
16
2
2
5
2
2
2
5
5
2
a
2
5
4
2
3
13
2
2
2
3
2
2
3
6
4
2
2
2
2
2
13
3
2
2
2
255
645
614
688
32
805
873
469
913
2465
304
1471
435
7o2
291
22
77
221
100
794
256
85
232
3112
133
49
32
227
1 163
10/8
1491
1015
498
2/6
201
13
23
26
25
5
28
20
25
33
60
13
40
20
20
9
0
7
10
7
26
.10
2
14
102
4
0
2
a
41
51
97
47
19
16
5
0
0
0
Q
0
0
2
0
2
2
0
0
0
2
0
0
0
0
0
0
0
0
0
6
0
0
0
0
0
0
0
3
2
0
0
10
II
8
3
2
14
2
14
2
13
JO
2
4
2
3
48
2
5
2
3
2
13
3
32
8
a
2
5
2
2
5
23
2
2
2
282
497
460
941
160
223
3/4
185
259
2/5
71
7/7
817
448
86
30
162
173
163
268
203
151
172
776
263
/9
68
218
294
258
366
8/2
473
218
179
2648
4209
3.980
3427
1882
5174
4105
3193
3109
4459
2705
4415
3537
2921
5268
2803
.3412
2105
826
5996
3402
1950
3274
12951
II 174
1886
3308
4898
6612
4342
6085
4818
2981
1868
1976
s  r  A  r  i
i  i   c
               AYEHAUE     34.1   552.4   635.7    49.5
               SfAHOAHU   22.O  408.3  681.6   90.4
              UEVIAHON
                                                                         5.1   643. /   22.8
1.3
                                                                         6.4  781.8   22.7    2.3
7.0  291.8 4468.1

7.6  256.9 3593.5

-------
w
                         *****
          NIAGARA  F H 0 N I I E H



S I T E  *  3   FINE  PAHTICULATt:  DATA
                                                                              STUDY



                                                                                   (PART - 2 )
FILTEK
20003
20009
20024
20032
2003d
20O55
20053
20060
20039
20075
200/2
20064
20107
20083
200d9
20096
2009d
20211
40006
40009
20203
400 Id
40O24
40031
40030
40036
20127
20213
4O049
40034
40060
40066
40072
40078
40091
ti
J
N
40
41
49
50
51
54
55
56
38
59
60
61
62
64
63
66
67
68
O9
70
72
73
/4
76
77
/d
dO
d2
83
84
83
87
88
89
93
M
0
N
6
6
/
7
7
a
8
8
8
d
d
d
d
d
9
9
9
9
9
9
9
9
9
10
10
10
10
10
10
10
IO
1 1
II
1 1
1 1
U
A
Y
25
27
.19
21
25
2
6
8
12
15
18
22
24
30
1
/
1 1
13
17
19
23
2o
29
b
7
11
17
23
2b
29
31
4
7
10
22
TIME
HHS
b.6
5.9
12.5
17.7
18. 2
JO. 4
17.2
10. 8
13.5
18.2
18.2
18.1
12.5
18.1
16.7
18.2
17.6
24.1
24.1
24.1
23.6
23.7
23.6
23.8
23.7
23.7
23.6
23.5-
23.7
23.7
23 . 7
16.6
22.5
23.7
23.0
FLOrt
M**3
II .6
12.3
25.8
36.5
3/.4
31.0
3b.l
21.1
25.6
34.8
36.3
33.4
23. d
37.4
34.5
35.4
36.1
49.6
50.5
50.2
45.2
49.4
49.0
49.4
50.2
48.1
4d.7
47.3
49.3
49.5
49.1
34.6
47. O
49.5
51 .d
141:
OIH
226
212
193
205
209
197
330
219
Idl
150
156
23d
211
Jd/
235
284
204
47
51
32
92
205
J 14
163
274
168
64
313
192
163
219
209
254
1 10
281
UU
SHU
5
5
6
5
5
6
2
13
4
4
3
4
7
3
1
3
11
9
3
4
2
3
2
8
-10
3
1
6
10
5
6
5
3
2
4
SI
892
2625
5550
3008
2180
2177
1 /86
2603
1804
1741
667
1408
3118
1 154
2/77
1 126
3956
209
751
852
7d3
1099
692
335
206
2125
603
1506
0
1.264
3ld5
4/OJ
95 d
3534
575
AL
880
833
396
280
1080
330
914
4db
400
667
282
289
431
5/3
296
289
283
206
649
419
839
630
209
207
504
984
d/6
61 1
0
416
916
293
218
d50
737
F
d5
8
46
112
1.20
0
108
151
0
86
0
129
126
106
86
84
no
0
39
19
22
60
0
40
19
0
0
0
0
0
61
57
83
0
0
N03
515
2091
0
0
66
0
76
307
109
0
27
48
0
106
173
84
0
0
257
39
88
0
0
0
0
20
82
147
0
262
488
635
446
444
425
CL
0
699
116
57
16
0
113
-156
0
28
no
14
0
26
0
0
0
80
39
79
66
0
61
0
19
83
123
84
0
20
8.1
0
0
0
3 7
S04 ri02
MANOUHAMS/M**3
5283
14784
22.9 /d
53643
1 33/5
20351
1 1520
18584
15954
31 831
6031
19138
45034
4300
8229
6544
54281
806
23/5
3722
1724
3746
1735
3984
2328
9189
1644
4838
0
4463
13515
25230 .
2809
15945
200 /
0
0
0
265
56
148
0
189
160
28
0
203
168
106
173
84
0
0
0
0
0
60
0
O
0
436
0
0
0
1454
162
1270
0
0
0
NA
85
504
669
383
160
129
170
426
234
200
247
169
294
186
173
112
304
100
0
39
176
60
0
80
19
270
102
147
0
242
305
404
148
242
154
H04
0
0
0
0
0
0
0
0
86
0
0
0
0
160
0
0
0
0
0.
0
0
0
0
0.
0
0
0
0
0
0
0
O
0
0
0
-4
2886
4442
7052
8216
4329
5455
4897
6676
6259
6773
2451
6216
10774
1842
3245
2961
8866
0
1049
1393
205
1275
.489
1254
915
3929
143
2703
0
1939
6146
11258
659
4607
598
Bft-S
214
0-
0
0
0
0
99
85
39
28
165
0
0
106
202
56
27
0
138
79
265
141
0
0
19
124
472
0
0
60
0
0
191
262
251
K
343
2367
746
876
320
387
199
994
273
86
192
197
42
53
57
28
193
0
0
0
44
0
0
0
0
353
61
0
0
0
386
317
106
363
154

-------
          N  I  A  U  A  H A  F H O N T I E H
SITE  #   3    FINE  h>AtfncULATE  DATA
S T U U y
     (HAHT - 2  )
*****
FILTEK

#
40088
4O099
40097
40103
40107
401 10
40114
40)18
40123
40122
4O.I35
40134
40013
4OI43
40130
40157
40162
40166
40172
40J78
40184
40.1 89
40.1 95
40201
4O2O7
40213
40219
40230
40230
40242
4O248
40254
40260
40266
4O2/2

s r

ti
U
ri
94
95
90
97
.98
99
101
102
103
104
103
106
107
lOd
109
10
12
13
14
13
16
17
Id
19
120
121
123
124
123
126
I2/
128
129
130
131

A

M
0
N
II
II
12
12
12
12
12
12
12
12
1
1
1
1
1
1
-1
1
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3

T 1

L>
A
y
28
30
4
6
10
12
16
iy
22
28
2
y
1 1
15
1 /
21
27
30
2
6
8
12
14
20
22
2o
4
7
10
14
16
20
22
20
2d

S

TIME

rtHS
23.7
23.6
23.7
23.7
23.6
23.7
23.7
23.6
23.7
23.7
23.7
23.7
15.8
23.7
20.6
15.3
23.8
24.0
24.0
18.8
24.0
22. y
18. 1
y.y
14.3
23.5
24.0
24.0
24.0
24.0
24.0
19.2
24.0
24.0
24.0

f i

FLOrt

M**3
52.5
46.7
47.6
48.1
47.4
47.8
48.1
49.3
49.6
50.3
50.5
4d.3
34.4
47.6
41. d
3.1 .4
52.1
52.3
52.4
41 .3
52.4
50.1
39.3
21.6
3J .0
50.5
50.7
51 .2
50.3
51 .5
51 .U
40.5
49.7
50.1
50.9

c s

rtINU
UIH SHU
OEO MHrt
.98 7
80 9
43 17
/5 6
103 . 12
37 9
209 10
30 / 3
229 12
322 4
288 7
221 12
190 1
243 14
244 6
336 4
23 / . 6
277 - 9
254. 10
241 3
251 13
43 3
68 4
220 6
247 6
43 1 1
171 15
61 4
235 13
243 13
232 12
24 / 1
2d 2
253 13
1 /6 /
AVEKAUE

S f ANOAHb
SI


1432
847
218
648
558
. 1287
1287
1513
1246
206
1026
1419
302
1612
2065
330
467
1093
459
1166
1303
207
1390
1 /90
334
205
204
1057
1537
658
1559
3252
1 /62
945
845
1414.3

1106.3
AL


iy5
2W
215
4s7
4d5
75y
213
609
206
203
620
212
298
215
503
326
196
195
iy5
248
195
204
619
1334
330
202
202
563
203
446
201
895
206
204
744
449.0

2/8.4
F


0
42
42
41
168
41
0
0
40.
19
0
0
87
63
71
0
0
0
0
0
19
19
0
92
0
0
0
19
0
0.
58
49
80
19
0
39.0

43.1
N03


838
1240
252
2703
232
104
915
912
1291
1531
1148
2091
17/4
630
95
572
537
932
247
633
95
IO37
2592
741
32
39
39
97
774
1009
4U84
5160
2231
538
392
647.3

1 002 . 4
CL


0
171
42
103
21
20
0
0
40
357
0
0
116
0
0
0
0
114
3d
0
0
0
0
0
0
0
0
0
0
50
58
0
100
259
157
54.0

102.3
S04

UArtOGH
6419
78/1
649 /
5d22
2890
10150
7073
6124
5749
9864
5130
7971
5875
4832
9336
4487
6830
4414
419
10721
6222
3391
5007
27988
20993
2891
5/99
9701
15849
8910
14044
8518
5045
3712
4102
10323.5

1 100 1 .4
N02

A M^ f M W A
0
0
0
0
0
0
582
709
0
0
851
2132
1279
0
0
572
537
0
0
169
0
0
0
O
0
0
0
0
0
324
0
0
0
1437
19
196.8

421.2
NA

3
114
213
168
207
147
188
208
141
221
278
59
414
203
. 231
71
254
76
114
133
411
171
259
355
787
386
138
98
0
0
271
176
0
341
7.9
157
200.0

148.2
P04


0
0
0
145
42
0
0
0
0
0
0
0
58
0
0
0
0
0
0
0
0
0
177
0
0
0
276
IJ7
0
0
0
0
0
558
0
23.1

81 .1
NH4


2704
3358
2186
1954
1055
3265
4867
A061
2138
3739
4318
3768
1657
2122
5937
1750
5986
1655
324
7405
5077
2414
2211
10750
5256
930
1953
2791
38/2
3203
4433
3753
2010
658
981
3533.3

2663.4
BR-S


0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
50
0
0
0
98
58
0
0
0
0
0
0
0
46.1

88.5
K


285
0
525
561
105
0
0
202
0
0
178
848
232
294
0
445
0
209
0
556
95
0
254
2363
419
0
138
566
714
582
1059
716
603
219
529
311.9

446.8
   UEiMAflON

-------
*****
FILTtH
it
20004
20010
20025
20039
20056
20057
20061
20076
20044
20 II 7
20106
20084
20090
20097
20101
20223
40001
40010
20204
40019
40025
40032
40043
20124
40048
4005b
40061
40067
40073
400.79
4008 /
40090
40089
40092
4OIOO
rt
U
N
40
41
49
bl
54
55
t>8
b9
60
61
62
64
6D
66
67
68
69
70
72
73
74
76
11
8J
83
84
85
87
88
89
91
92
93
94
97
(J
tt
6
6
7
/
8
8
8
8
8
8
8
8
9
9
9
9
9
9
9
9
9
10
10
10
10
10
10







2
U
A
V
25
27
19
25
2
6
12
Ib
18
22
24
30
1
7
1 1
13
17
19
23
2o
29
b
7
17
2b
29
31
4
7
JO
16
20
22
28
6
TlMt
riKS
6.b
6.3
7.8
12.3
b.O
16.7
7.1
6.8
23.9
16.2
b.l
17.7
1 1.1
17.7
11 .1
24.2
24.1
24.1
24.0
23.9
23.9
24.0
23.9
16.2
23.9
24.0
17.3
14.7
22.3
23.3
24.1
24.1
24.2
24.0
13.9
FLUri
M**3
13.7
II .9
16.1
24.8
9.8
3b./
14.0
13.2
49.3
34.1
10.7
37.8
37.9
3b.8
24.9
50.9
bl .9
bl .9
bO.3
bl .b
bl .3
bl .2
b4.8
34.0
49.7
51.5
36.7
31 .6
48.3
50.2
52.9
54.2
54.3
54.8
30.5
S I T
rill
.U1H
DEO
226
212
193
209
197
330
181
150
Ib6
238
211
187
235
284
204
47
bl
32
92
205
1 14
163
274
64
192
I6b
219
209
254
116
69
210
281
98
75
N I
c rf 4
/
44 /
b46
6bb
788
1061
bOO
227
7ob
827
0
1221
1060
7bl
1309
918
265
497
202
468
1165
712
394
379
818
535
1137
b96
744
556
206 .
1065
1858
347
88
299
679
541
1 142
946
141 1
235
250
1522
532
0
, 565
972
1029
2333
1682
112
925
209
681
10
151
128
I5O
14
42
39
104
168
73
129
54
215
42
238
2
2
2
2
13
2
29
2
4
223
0
101
197
25
126
18
38
7
32
186
10
II
8
5
14
II
9
10
2
4
12
3
3
3
5
2
2
2
2
2
2
2
2
4
II
0
1 1
13
2
2
5
2
2
2
13
517
7240
3593
2118
1454
590
1088
1516
649
1390
3627
812
1082
4.98
3772 .'
70
69
61
88
594
280
583
174
130
4499
0
2986
1809
272
780
232
761
84
242
1627
20
256
42
39
42
19
29
31
28
69
103
32
76
23
111
0
2
5
5
18
16
18
10
12
125
0
90
100
14
30
13
46
0
22
59
20
O
0
0
14
3
9
20
2 •
0
0
3
3
3
5
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
0
0
0
0
0
JO
23
8
5
28
3
9
10
2
4
42
/
7
3
5
2
2
2
2
5
2
8
5
4
5
0
18
8
5
2
2
2
10
5
4
223
7287
2238
535
338
163
385
397
339
552
1600
1219
526
595
644
32
34
122
74
185
172
156
113
97
1438
0
1304
1029
177
468
177

124
I/I
3400
2615
7333
22957
6233
8908
4597
7221
11412
1877
6406
14960
3046
4762
3381
11888
288
938
1589
751
2159
1325
3378
1426
590
4521
0
6632
12548
1193
6307
1363
3171
1053
3980
4590

-------
01
                                             N I A J A H A  F H 0 N T I E tt

                                   S I T E  tf  4   FINE  HAHTICULATE  UATA
                           S T U U y

                                (HAKT - I  )
                   *****
FILTEH
#
40404
401 14
401 Ib
40.1 1 9
40124
4OI30
40141
40146
40151
40150
40161
4O467
40173
40179
40190
40196
40202
4020d
40214
40220
40225
40231
40237
40243
40249
40255
40201
4O267
40273
H
U
N
9d
99
101
102
103
106
107
lOd
109
10
12
13
44
46
17
Id
19
120
121
122
123
124
I2i>
126
127
I2d
129
130
131
M
0
N
12
12
12
12
12
4






2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
U
A
y
10
12
46
19
22
9
1 1
Ib
17
21
27
30
2
b
12
14
20
22
26
28
4
/
10
44
16
20
22
20
28
TIME
riKS
24.0
24.0
2O. d
24.0
24.0
24.0
12.9
24.0
19.6
22.3
.17.0
24.1
24.4
24.0
21.2
16.5
9.8
14.6
24.0
.9.5
24.1
24.1
6.O
24. 1
5.0
24.0
23.5
24.0
24.0
FLOrt
M**3
52.6.
53.2
46.3
53.2
54.1
57.1
30.5
56.4
44.1
51 .8
38.2
b4.4
54.4
b4.0
47.7
37.1
22.9
32.9
53.2
20.9
55.1
52.7
13.0
52.7
U .7
52.0
50.5
52.3
S2.9
rtld
DIN
UEO
103 .
37
209
307
229
221
190
243
244
336
237
277
254
251
43
68
220
247
43
220
1 71
61
23b
243
232
247
28
253
177
U
SPIJ
MPri
12
9
10
3
12
12
1
14
6
4
6
9
10
13
3
4
6
6
14
4
15
4
13
15
12
1
2
13
7
FSP
UUM/
M**3
32
43
40
19
43
42
37
44
39
31
39
27
51
41
28
3O
78
62
13
74
24
27
82
42
113
75
30
52
22
,.
123
452
520
346
696
351
836
292
6/1
425
398
206
1226
676
502
398
1138
1228
148
1223
128
31 7
3353
1071
43/2
74d.
521
436
2db
.
42
241
643
304
330
502
1406
272
45d
Id/
253
251
564
241
828
499
96
218
148
806
266
252
1167
288
I50J
1072
855
145
428
ZN
2
II 1
131
28
128
101
4
329
50
10
14
38
119
66
2
52
369
21
2
595
2
23
2663
73
106
87
19
127
28
MI
2
5
2
10
10
16
4
4
3
13
3
2
2
2
2
3
6
4
2
6
2
2
42
2
II
2
2
2
13
FE MN
NANOGHAMS/M**3
466
3277
1649
500
26a7
2621
522
1823
687
248
793
445
I4D2
1936
72
425
3688
1224
44
3717
354
296
32767
2064
3828
2084
482
4677
698
34
404
38
20
76
65
27
105
31
26
32
43
86
125
2
18
96
88
0
125
42
10
1178
105
118
135
21
206
15
Ctt
0
2
0
0
0
0
0
2
o •
0
0
0
0
0
0
0
6
0
0
0
0
0
40
2
II
2
0
0
2
V
2
5
2
5
2
4
4
2
9
40
3
7
2
2
2
44
6
4 .
15
6
2
5
10
2
II
7
8
2
10
CA
126
658
1329
231
862
1699
522
6dO
72
56
155
106
305.
266
95
201
2028
143
93
873
65
241
5295
501
2398
982
765
24d
230
S
5430
5918
4127
2156
4899
4339
2731
5937
5916
4113
3271
2746
4875
6192
1880
3068
12148
43025
J972
5635
3699
4498
27869
3824
5105
4611
2710
4723
2960
      STATISTICS
                                       AVERAGE
                                       SF AMDAHL)
                                      DEVIATION
43.7  739.7  640. /  122.9
28.2  675.7  493.9  338.9
5.8 1840.4   69.9    1.9
6.2 4172.5  149.6    4.4
6.6  /53.0 5246.5
6.6 1214.6 4940.0

-------
*****
HILTHtf
tt
20004
20010
20025
20039
20056
20057
20061
2007o
20044
20 II 7
20106
20084
20090
20097
20101
20223
40001
40010
20204
40019
4002b
40032
40043
20124
40048
40Obb
40061
4006V
40073
40079
40087
40090
40089
40092
40IOO
H
U
iM
40
41
49
bl
54
55
58
59
00
61
62
64
6b
66
61
68
69
70
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73
74
76
//
80
83
84
85
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dd
d9
91
92
93
94
97
M
0
N
6
6
7
7
8
8
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8
8
8
8
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9
9
9
9
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9
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10
10
10
10
10
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2.7
19
25
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6
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18
22
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7
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19
23
26
29
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17
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29
31
4
7
10
16
20
22
28
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HHS
6.b
6.3
7.8
12.3
5.0
16.7
7.1
6.8
23.9
16.2
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17.7
17.7
17.7
1 1 .1
24.2
24. 1
24. 1
24.0
23.9
23.9
24. 0
23.9
16.2
23.9
24.0
17.3
14.7
22.3
23.3
24.1
24. 1
24.2
24. 0
13.9
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M**3
13.7
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24.8
9.8
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14.0
13.2
49.3
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10.7
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3/.9
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24.9
bO. 9
bl.9
bl .9
bO.3
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bl .3
bl .2
54.0
34.0
49.7
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48.3
50.2
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54.2
54.3
54.8
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N
S i T H tf
HlNL)
OIH SHU
L)£o
226
212
193
209
197
330
181
150
156
238
2 11
187
235
284
204
4/
51
32
92
2 Ob
114
163
274
64
192
I6b
219
209
2b4
110
69
210
281
98
75
MHll
b
5
0
5
6
2
4
4
3
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1
3
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10
1
10
5
0
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3
2
4
6
4
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6
I A 0 A H A H H O N T
4 FINtf HArfflCULATb
SI

2/78
2615
10376
2163
1058
955
1899
5073
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918
4349
2296
4327
3296
2661
92b
199
794
704
699
1258
689
189
863
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3997
5292
671
4161
1033
1027
191
1262
340
AL

750
864
2692
412
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732
1841
207
300
3949
1289
1686
707
41 1
623
621
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756
435
793
200
187
301
206
0
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605
212
821
193
189
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523
700
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73
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1 1 1
181
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0
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226
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79
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27
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DATA
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275
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101
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139
80
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327
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301
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1306
917
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623
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200
5677
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(HAHT - 2 )
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0
801
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120
0
0
150
75
20
58
0
0
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0
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78
38
0
59
0
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19
73
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181
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6054
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17380
11359
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31570
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785
2310
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1788
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2410
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2245
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0
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0
372
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0
0
38
0
58
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0
383
0
583
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1824
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0
0
0
0
0
0
*****
MA

0
607
1 145
281
407
140
714
679
101
146
279
158
422
195
280
117
0
57
59
116
19
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146
88
704
0
435
474
144
199
94
221
257
182
623

P04

0
0
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0
0
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0
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0
0
0
0
0
0
0
0
0
0
0

M4

3060
1559
10854
7487
6931
4121
135/1
1 1480
1176
5195
12208
951
301 1
2594
9065
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1155
1270
397
1689
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2888
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4219
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4540
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2103
570
2739
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Brt-S

226
0
0
0
0
381
0
151
101
58
0
105
211
55
40
0
115
77
158
116
0
58
18
235
0
0
0
0
0
258
245
0
239
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380
2908
1021
281
1223
336
1142
528
385
0
838
423
184
55
762
0
0
0
0
310
58
0
146
0
1469
0
1742
664
165
358
151
1 162
147
365
1673

-------
w
                                             N1AUAHA  F H O N T I H R  STUDY



                                   S I f k£  »  4   FINE  fAttTICULAT£  DATA        (HAHT - 2 )
*****
FILTbH
tf
40J04
401 1 1
401 Ib
401 19
40124
40I3O
4OI4I
40146
40lbJ
4Olb6
40161
40167
40 1 73
40179
40iyo
40Jy6
40202
4020d
40214
40220
40225
40231
40237
40243
4O24y
4025D
40261
4O267
40273
a
a
N
yd
yy
101
102
103
106
107
108
toy
10
12
13
. 14
16
17
Id
19
120
121
122
123
124
I2D
126
127
128
i2y
130
131
M
O
N
12
12
12
12
12







2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
U
A
10
12
16
19
22
y
II
1 5
17
21
27
30
2
a
12
14
20
22
26
2d
4
7
10
14
10
20
22
26
28
TIME
HKS
24.0
24.0
20.8
24.0
24.0
24.0
12. y
24.0
19.6
22.3
17.0
24.1
24.1
24.0
21 .2
16.5
y.a
14.6
24.0
y.5
24.1
24.1
6.0
24.1
5.0
24.0
23.5
24.0
24.0
FLOrt
M**3
52.0
53.2
46.3
53.2
54.1
57.1
30.5
56.4
44.1
51. a
38.2
54.4
54.4
54.0
47.7
37.1
22. y
32 .y
53.2
20. y
bb.l
52.7
13.0
52.7
11.7
52.0
50,3
52.3
52. y
ttl
UIH
UEU
103
37
2oy
307
22y
221
190
243
244
336
237
277
254
251
43
68
220
247
43
220
I/I
61
23b
243
232
247
28
253
177
no
SHU
MHH
12
y
10
3
12
12
1
14
6
4
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10
13
3
4
6
6
1 1
4
Ib
4
13
Ib
12
1
2
13
1
SI
1335
1248
1652
1021
1530
joy?
340
1182
1650
200
1307
190
536
661
616
279
454
1 /2b
601
496
188
804
795
3yy
886
30by
1503
1 1/4
1551
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402
192
221
841
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410
777
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821
197
268
Idd
Idd
487
66b
2/b
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311
192
489
185
415
7d5
194
874
197
441
807
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133
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0
0
18
87
32
53
yo
0
0
0
0
0
0
0
87
0
0
0
0
37
.76
0
0
38
79
0
0
N03
ys
2610
267y
921
2920
2681
1969
1774
498
1158
1726
698
1028
1 29
1510
2664
1268
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131
6542
90
284
5363
1801
4010
7381
2277
1203
415
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0
56
172
0
406
543
0
88
0
0
837
238
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0
20
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0
0
1528
0
0
1762
891
52yo
768
99
.936.
132
S04
IOJ35
12283
7132
3686
JOI29
9113
5021
11036
13272
7512
9102
6027
0
13793
3357
4818
26847
27347
2930
9933
7490
yb23
63804
9140
10238
11380
4872
12571
6685
N02
0
0
950
733
0
0
0
0
0
0
1334
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
I70O
226
NA
)
228
37b
561
94
517
560
328
496
90
173
366
220
385
370
251
457
1180
577
169
1337
0
0
4214
398
1621
0
336
534
264
P04
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
NH4
3270
3981
3112
2595
3216
1770
2756
4985
9127
3109
8631
2517
3196
8665
881
2234
760d
7748
IOU2
4OII
2285
2750
12337
. 3451
3839
4306
1723
2598
1378
BH-S
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
56
0
0
0
0
0
0
0
K
608
93
972
188
1201
1735
164
I57y
0
463
1098
349
275
666
146
511
3716
1002
0
1050
489
607
8275
I5y3
5716
y22
5y4
515
793
      STATISTICS
                                                1586.3  580.5   43.0 1173.7279.6  Il4d0.7   176.8   401.1    N.I. 3919.0    45.4  846.8
                                       STANUAKU 1679.1   621.1    66.6 1670.1  736.4  113/7.8   414.5   583.0   79.6350J.8    85.y 1332.6

-------
oo
                        *****
                                             N  1  A 0  A  H  A   K  H O N f I  E



                                   SITE  #   5   FINE  HArtnOJLATE  DATA
S f U U V



     (HAKT - I  )
*****
FILTEK
H
20005
2001 1
20026
20040
20050
20054
20002
20074
20078
201 Id
20105
200db
20091
20099
20102
20222
40004
4001 1
2020b
40020
40020
40029
40042
40038
20J2b
20234
40050
40056
40062
40068
40074
40080
40086
40101
40 1 Ob
H
U
N
40
41
49
bl
54
55
56
59
00
61
62
64
63
oo
67
08
69
70
72
/J
74
/6
77
/a
80
82
83
84
83
87
88
d9
91
96
97
M
0
IM
6
6
7
/
8
8
8
8
8
8
a
8
9
9
9
9
9
9
9
9
9
10
10
10
10
10
10
10
10
1 1
1 1
1 1
1 1
12
12
0
A
Y
25
27
19
25
2
6
8
15
18
22
24
30
1
7
1 1
13
17
19
23
26
29
5
/
1 1
17
23
25
29
31
4
7
10
16
4
6
TIME
I1HS
6.5
6.3
10.0
9.3
6.3
17.9
10.2
5.0
16.0
13.7
10.1
18.1
13.6
17.9
11.7
23.5
23.6
24.0
24.0
19.8
24.1
24.0
24.1
24.0
24.0
24.0
24.0.
23.9
20.1
15.3
22.8
24.1
24.4
24.1
14.0
FLOiJ
M**3
13.4
13.0
19.5
17. d
12.2
32.1
19.9
9.5
2b.9
23.5
17.2
31 .5
19.1
J2.9
18.0
41 .8
49.3
48.2
46.8
34.8
39. b
39.0
48. b
30.7
49.5
49.3
56.8
56.5
53.8
37.4
50.0
64.7
55.5
58.3
32.3
ti I IN
UIH
OEU
226
212
193
209
197
330
219
I5O
150
238
21 1
id/
23b
284
204
47
51
32
92
203
1 14
163
274
168
64
313
192
165
219
209
254
1 16
69
43
75
10
SHO
MPH
5
b
6
5
0
2
13
4
3
4
7
3
1
3
11
9
3
4
2
3
2
8
10
3
1
6
10
5
6
5
3
2
4
1 7
o
KSH
UGM/
M**3
31
45
134
60
83
54
77
159
37
51
N2
33
98
26
107
/
23
18
12
34
30
28
34
120
19
2o
33
17
55
77
17
43
18
31
63
,<
1306.
201
2199
1669
1717
I3b2
439
7/2
845
1 108
725
1203
1806
332
64b
241
5/5
508
737
1390
96b
379
599
1138
1 158
522
336
397
788
839
721
989
828
4/0
1312
M
1762
169
1 13
124
181
963
1 1 1
1 180
855
377
128
584
1 175
328
122
202
1023
589
1080
1394
15.12
103
168
1334
2553
409
39
580
533
384
lOob
1516
1055
342
1248
ZN
10
403
170
54
1 1
138
327
58
1 17
41
257
35
420
50
253
3
247
2
2
3
24
35
82
52
2
42
124
2
607
136
1 7
96
14
156
810
NI
10
10
7
7
56
4
13
14
5
5
8
4
7
4
30
3
2
2
2
3
7
10
2
22
2
2
21
4
28
1 1
7
6
2
2
a
HE MN
NANOGHAMS/M**3
207
944
4257
31 Ob
2024
1585
7998
5088
1096
20b3
7122
1041
2408
677
5092 ^
26
84
57
J03
1274
182
869
2376
12/0
260
.1094
1567
186
3923
1417
289
563
157
3053
3500
10
42
49
31
22
25
216
174
32
29
185
21
94
25
122
3
5
2
2
31
/
3
Jl
26
16
28
39
14
100
48
9
21
4
95
72
Cfi
0
0
0
0
0
0
13
14
5
0
8
4
7
4
7
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
0
2
0
0
0
V
10
10.
14
23
34
21
6
14
5
5
8
4
7
4
46
3
2
2
2
3
3
17
2
3
5
2
24
7
36
3
9
12
4
2.1
4.
CA
10
1602
2944
1032
648
475
1352
1443
433
1044
2183
456
950
345
1021
23
19
120
109
410
1 19
142
1 19
731
81
519
321
139
1708
1302
103
167
124
1190
J303
S
2373
4457
23542
5131
9074
5240
10600
18792
2862
5346
17854
2139
5209
3430
J7829
400
986
1601
677
2007
1326
4090
4629
5895
660
1878
5074
1642
7695
1 1441
1 144
5415
1283
4072
4272

-------
w
                                   SITE
I A iJ A H A  F H 0 N T I E K  STUDY

b   FINE  HAHTICULATE  DATA
                                      - I  )
                                                                                                  *****
FILTEH
if
40108
40112
401 16
40120
40127
40132
40137
40142
40147
40152
4O155
40160
40.168
40174
40180
4O185
40191
40197
40203
402O9
402 Ib
4O22I
40226
40232
40238
40244
402bO
402b6
40262
40268
40274
K
U
ri
9U
99
101
102
104
105
106
107
108
IO9
10
12
13
14
15
16
17
18
19
120
121
122
123
124
125
126
127
I2b
129
I3O
131
M
0
N
12
12
12
12
12
1







2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
D
A
y
10
12
16
1 9
28
2
9
II
15
1 /
21
27
30
2
6
8
12
14
20
22
26
28
4
7
10
14
16
20
22
26
28
TIMH
HRS
24.1
22.4
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-------
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299
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-------
                   *****
                                        H  I  A O  A  H  A   H  ri O N T  I  b W  S  f U U Y

                              SITE   tf  b   HI Mb  HArtTICULATE   UATA         (PAHT  - 2  )
FILTbrt
40108
401 12
4OI 16
40120
40127
40132
40137
40142
40147
40lb2
40lbb
40160
4O168
40174
40180
40185
40191
401 97
40203
40209
402 I b
40221
40226
40232
40238
40244
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402b6
40262
40268
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2525
6308
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2525
4150
2596
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32 yy
2287
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5220
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889
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3540
2904
5112
2226
2832
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0
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STATISTICS
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                                Ut: VI AT I ON
54.5 3297.4  104.5 1506.5

-------
          N  I A J  A  H A  F H 0 iM f I t H



SITE  #   6   FINE  PAKTICLJLATE  DATA
S T U 0 Y



     (PAKT -  I  )
*****
FILTEH
tf
20O06
20027
2O04I
2004d
20051
20052
20063
20070
20079
201 19
20J08
20086
20092
201 II
20IO3
20212
40005
40012
20206
40021
40027
40015
4OO39
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20216
40051
4O057
40063
40069
400/3
40081
40082
40094
40O96
40O93
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41
49
51
33
54
53
b6
ba
00
61
62
64
65
66
67
68
69
70
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73
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82
83
84
83
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dd
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91
92
93
94
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6 27
7 19
7 25
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8 8
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8 24
8 30
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9 17
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9 23
9 26
9 29
10 5
10 1 1
10 17
10 23
10 25
10 29
10 31
4
7
10
16
20
22
28
TIME
HHS
5.4
21.5
17.7
17.7
13.7
17.9
17.6
17.7
17.7
18.0
17.7
17.7
17.9
17.9
23.6
23.6
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23.6
23.7
23.8
23.8
23.8
23.9
23.7
23.8
23.7
23.9
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23.8
19.5
23.7
23.8
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10.5
44.1
34.4
36.4
26.5
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33. d
34.9
34.1
37.1
34.2
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48.6
49.5
49.6
48.5
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49.7
50.0
50.7
50.0
33.1
50.5
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52.4
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53.4
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DEiJ MPH
212
193
209
215
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330
219
181
156
238
211
187
23b
284
204
47
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32
92
2O3
1 14
163
168
64
313
192
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219
209
2b4
1 16
69
210
281
9d
b
6
b
5
6
2
13
4
3
4
7
3
1
3
1 1
9
3
4
2
3
2
d
3
1
6
10
5
6
5
3
2
4
6
4
/
FSP
UUM/
M**3
40
67
3.9
19
48
37
48
40
22
32
54
18
29
23
69
6
14
28
1 1
12
12
17
23
10
13
19
12
27
63
9
44
17
14
14
15
PU
92
191 -
28
26
125
341
102
261
28
313
2/5
199
322
98
1 /I
62
363
544
239
135
218
139
221
268
IDO
180
2/8
265
435
238
661
390
88
134
101
UK
211
301
64
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365
348
65
194
430
59
64
61
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60
44
142
408
410
45
1 /9
.104
104
133
486
44
119
188
102
410
433
378
441
41
41
41
ZN
13
44
32
3
5
74
12
27
4
3
20
3
1 1
22
2
2
2
75
2
2
8
2
22
2
2
33
2
24
100
2
1 1 1
2
2
2
18
.Nil
13
28
12
3
5
3
4
3
4
/
8
3
3
3
2
2
2
2
2
2
2
57
5
2
2
8
5
5
4
2
3
2
2
2
2
FE
riAMOGKAM;
52
330
225
34
193
438
217
198
150
160
400
80
162
200
303 ••
8
86
725
88
58
91
90
113
123
50
349
92
268
619
63
729
126
41
28
69
MN
>/M**3
0
3
12
3
5
7
16
II
12
18
20
3
25
II
II
0
2
22
0
5
5
10
2
5
5
16
5
19
33
8
40
b
2
5
7
CH
0
0
O
0
0
0
4
3
4
0
8
3
0
7
5
2
0
0
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0
2
0
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0
0
0
0
0
4
0
6
2
0
0
0
V
13
3
4
3
5
N
4
7
4
3
4
3
3
7
2
5
2
5
2
b
2
2
2
2
2
2
5
5
3
2
3
2
2
2
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CA
13
119
32
3
b
3
110
63
4
97
64
42
151
113
87
14
2
164
2
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69
46
105
2
13
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40
141
192
43
249
84
106
57
62
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3363
9235
4286
2512
6149
4517
8026
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2311
4659
5296
2301
2828
3468
6940
344
1237
3317
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1604
1679
- 2347
3752
693
1659
3082
1680
4416
10930
982
6401
1793
2613
1690
2319

-------
Ni






***** SIT
FILTEH H
U
it 
-------
          NIAGARA   F  H  0 N  f I  h' R




S I  I h  It  o   FINH  PARTICULAR  DATA
(PART - 2 J
                 *****
F 1 L TbR
20006
20027
20041
20048
20O5I
200b2
20OOJ
200/0
200/9
20 1 19
20IOd
200dO
20092
201 1 1
20IOJ
20212
4000s
40012
20200
40021
40027
400 Ib
4OOJ9
20I2J
202 10
400bl
400b/
4000J
40009
400 /b
400bl
400d2
40O94
40O9O
4009J
U
N
41
49
bl
bJ
b4
b-j
b6
bd
OO
61
02
04
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06
ol
od
09
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12
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74
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do
d2
dJ
d4
dD
d7
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d9
91
92
9J
94
M
O
N
6
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7
7
b
b
b
b
d
o
d
b
y
9
9
9
9
9
9
9
9
10
10
10
10
10
10
10







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A
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27
19
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2
6
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12
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22
24
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1
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1 1
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1 /
19
2J
26
29
D
1 1
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29
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4
7
10
lo
20
22
2d
TIMH
HR3
b.4
21 .b


.









7.7
7.7
J.7
7.9
7.0
1.1
1.1
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/./
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7.9
/ .9
2J.O
2J.O
2J.7
2J.6
2 J.7
2J.d
2J.8
2J.b
2J.9
2J.7
2J.8
2J./
2J.9
2J.8
Ib./
2J.8
19.5
2J. /
2J.8
2J .9
2J.9
FLOK
M**J
10. b
44. 1
J4.4
Jo. 4
26. b
J/.J
JJ.d
J4.9
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37.1
34.2
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J7.4
JO.o
49. J
4d.6
49. b
49.6
4b .b
bO. 1
DO.I
bO. 6
bO.O
49. b
49. /
bO.O
50.7
bO.O
JJ.I
50.5
4 1 .0
52 .4
DJ . 1
52 .b
bJ .4
Hi NO
01 R SPO
UEU MPli
212
I9J
209
2 Ib
197
JJO
219
Ib 1
IbO
2Jd
2 1 1
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2JD
2d4
204
41
bl
J2
92
2 Ob
1 14
16J
I6d
64
Jl J
192
I6D
2 19
209
2D4
1 16
09
210
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9d
b
6
b
b
6
2
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4
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4
7
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1
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1 1
9
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4
2
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2
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j
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0
10
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2
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4
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99 J
Jbb2
I5b9
852
2JI2
790
20b4
J /I2
J04
Id4b
2d/2
776
24bb
!6Jb
J04I
21 J
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1 J97
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951
bib
1246
1518
209
1 IJ2
1 757
49 /
J906
5JI4
6bb
A til
794
792
1 96
194
AL
9/9
95b
29d
2di
Jd6
274
6DI
293
792
2/6
299
6ld
2/3
280
690
210 .
422
206
21 1
204
204
506
205
545
563
205
5d4
bo/
921
203
62d
I9D
542
194
191
F
2d
68
130
71
154
53
1 12
123
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26
87
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1 06
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bl
0
0
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0
79
0
0
40
0
0
0
59
20
120
0
O
0
bo
bo
bo
IM03
391
0
63
0
0
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289
117
0
26
0
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213
b4
20
0
161
00
61
0
0
415
160
bO
60 ,
60
IJb
dO
241
O
268
419
225
227
0
CL
76
49
58
54
1 13
1 74
62
8
D8
D3
0
0
0
0
81
82
101
0
82
0
0
iba
200
40
120
20
78
20
0
0
0
0
18
18
0
S04
/2/b
16938
15581
6225
19253
12455
14586
7733
5837
1 1329
28045
4605
6655
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41351
1028
3395
8037
2678
3055
239J
6586
7 784
1615
4228
0084
J097
8/61
22527
1843
14919
3546
4/07
3069
4134

0
0
0
0
0
0
136
5/
0
0
58
55
106
0
0
0
424
60
0
0
0
0
1220
0
0
700
0
320
1088
0
0
0
0
0
0
NA
143
320
174
82
226
134
680
28
146
80
1 16
138
106
27
223
82
0
100
103
0
59
19
200
80
18)
240
78
200
302
99
268
133
94
94
93
P04
0
0
0
0
0
0
0
0
0
0
0
0
133
0
0
0
0
0
0
0
0
0
180
0
0.
0
0
0
0
0
0
0
0
0.
0
Nii4 UR-S
3336
5145
5090
3133
6671
5038
4346
3777
2786
4612
6222
2192
1 149
3603
57b9
ol
lb/6
2800
947
14/7
13/6
22b4
3241
323
1812
2441
1736
4600
6954
45b
4851
1525
2052
1250
1833
0
0
0
0
0
53
0
0
0
0
0
27
160
0
0
0
60
40
0
0
0
0
0
60
0
0
0
20
0
0
0
0
0
0
0
K
382
186
203
137
263
268
1094
57
29
0
0
0
267
0
162
0
0
322
0
0
39
0
0
0
0
160
0
0
5/4
59
438
ID2
3J8
151
280

-------
w
                                             N I A U A H A  F H O N T I E H

                                   S I T E  u  6   FINE  HAHTICULATH  UATA
STUDY

     <*>AUT - 2 )
*****
FILTEH
it
401 02
40098
40106
40IO9
4OII3
40117
40121
40126
40128
40138
40148
40lb3
40154
40159
40169
40173
40181
40 1 86
40192
40 1 yd
40204
40210
40216
40222
40227
40233
40239
4024b
402bl
4025.7
40263
40269
4027b
H
J
93
96
97
98
99
101
102
IO3
104
107
108
109
10
12
13
14
15
16
I/
Id
19
I«i0
121
22
123
124
123
126
127
I2d
129
130
131
M
0
N
1 1
12
12
12
12
12
12
12
12
1
1
1
.1
.1
1
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
D
A
v
30
4
6
10
12
16
19
22
2d
U
Ib
17
21
27
3O
2
6
d
12
14
20
22
26
2d
4
7
.10
14
16
20
22
26
28
TIME
HRS
23. d
24.1
23.8
24.0
23.8
23.8
23.8
23. d
24.0
24.0
24.0
24.0
24.0
23. d
23. d
23.9
20.1
23.9
21.2
23. d
16.6
23.2
23.9
21 .1
23. d
23.9
23.9
23.9
23.9
23. b
23. d
23.9
23.8
FLUrt
M**3
b3.6
bl.7
3l ./
50.8
34.2
b3.5
b2.4
b3.2
b4.b
b3.2
b2.3
b2.6
b2.9
53.0
53.7
b4.0
44.8
b3.0
46.8
b2.6
36.7
bl .3
b2.o
4b.6
bl .6
bl .8
30.3
bl .3
bl.b
49.4
bO.I
bO.O
bl .0
NlND
DIK SHU
L)tG MHrl
80
43
7b
103 .
37
209
3O7
229
322
190
243
244
336
237
277
2b4
241
2bl
43
68
220
24 /
43
220
171
61
233
243
232
247
2d
2b3
17/
9
17
6
12
9
10
3
12
4
1
14
o
4
6
9
10
3
13
3
4
6
6
1 1
4
Ib
4
13
Ib
12
1
2
13
7
SI
193
201
1202
204
1 124
I6bd
1044
163b
424
I9b
1017
1240
196
927
193
636
1334
49d
911
197
2l6b
201
497
2497
314
43d
1499
60d
I3bl
1437
1286
610
I29b
AL
191
b49
I9d
490
Id9
191
946
513
Idd
192
193
194
193
386
190
1 iJ9
4b/
I9J
218
194
2/9
199
194
224
I9d
198
.981
199
807
20 /
204
202
b03
F
1 II
38
I3b
Ib/
0
0
0
3/
36
18
76
b/
0
0
0
0
22
b6
0
0
27
0
Id
0
0
3d
0
38
0
40
/9
0
19
NO3
149
0
967
0
129
467
114
413
2/5
507
114
76
94
/5
0
222
136
37
469
437
0
0
0
43
0
37
19
0
3089
2326
73 d
/9
136
CL
0
38
19
39
0
0
0
18
18
0
0
38
113
0
0
166
0
0
0
0
81
0
0
0
0
o
139
19
0
0
119
217
0
S04 N02 MA
NANOOHAMS/M**3
3337
4277
4410
2933
6366
4676
2118
3798
3065
2313
3996
10272
51 05
4998
.2012 -•
1000
88O9
4769
4849
4201
27/bO
268bb
4160
12291
7164
9602
8097
3769
5b96
5l5d
3135
3241
14196
0
0
0
• 0
848
1 793
209
488
0
6O1
0
0
0
509
O
0
1159
0
0
0
0
0
0
0
0
0
179
0
0
0
0
177
0
93
116
174
137
92
93
57
56
128-
75
114
76
56
94
74
92
200
. 75
341
285
108
272
189
0
154
0
238
136
0
0
279
79
196
P04
0
0
0
0
0
0
0
0
VI
0
0
0
. 0
0
0
0
0
0
0
0
0
0
0
1.75
0
0
0
0
0
0
0
0
0.
NH4
1211
1819
1818
1023
5093
3928
1183
2632
1009
1166
2531
6106
4141
3394
447
166
5530
2884
1666
1482
2505
4372
1063
3177
1103
2936
2248
1340
2701
2488
1218
533
1803
8H-S
0
0
0
0
147
0
76
0
73
0
0
0
0
0
0
37
1 II
0
0
0
0
0
0
0
38
0
0
0
0
0
0
o
0
K
242
0
464
0
0
0
0
94
0
0
0
0
0
0
93
0
200
0
149
228
81
446
0
153
290
618
397
485
427
485
499
217
3/2
                                       AVEHAUh  1241.6  376.3   41.6  22b.O  40.4  7/34.8  149.8 .134.2
                              8.5 2694.1
                      13.3  169.I
      STATISTICS
                                       SfANUAKU IO/b.4  243.3   44.6  4/8.9
                                      DEVIATION
bb.d  7437.9  350.1  IO/.0   35.4 1730.6   33.3  210.7

-------
                                 APPENDIX C






     The  data  base  for the entire project is listed here and represents all of




the dichototnous  particulate filters which were collected for the coarse particle




fraction.   Each  filter is  printed along with information describing the date




(month and  day),  elapsed time,  sampled air volume (flow), meteorological data,




and concentrations  of particulate weight and "various chemical components.  A




series-30000  filter reflects the use of 0.5M. pore diameter filters while the




series 50000  reflects the  change to 1.0(i pore diameter filters.  The series-




30000 filter  data for coarse particulates corresponds to the series-20000




filter data for  fine particulates which is presented in Appendix B.  Similarly,




the series-50000 filter data for coarse particulates corresponds to the series-




40000 data  for fine particulates in Appendix B.






                          FILTER SERIES DESIGNATION




                                            PARTICULATES
                 FILTER PORE  DIAMETER      FINE      COARSE



                        0.5(1               20,000     30,000



                        I.OM.               40,000     50,000
                                   C-l

-------
n




*****
HILTbH H
U
ft ^
30001 41
J002I 49
30028 bO
30036 51
30073 6d
30077 00
300dO 61
3 008 1 04
30O8/ Ob
300y4 7y
30O9b oo
30100 6/
30IOy 02
30204 12
30214 82
bOOOJ 69
bOOOV /O
bOOJ6 /3
30022 /4
b002d 7d
bOO34 /6
b0040 11
b004o d3
bOOD2 d4
bOObd 83
bOOO4 8/
300/0 88
bOO/O 89
b0133 106
DO 136 103
3Ol3y io/
30144 lOd
t>oi4y ioy
bOlbd 1 IO
DO 4 O-) 112
M
o
N
6
7
7
/
y
d
d
d
y
10
y
y
d
y
10
y
y
y
y
10
10
10
10
10
10
i
i
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A
y
27
iy
21
2b
13
Id
22
JO
1
13
7
1 1
24
23
23
17
iy
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2y
1 1
b
/
2b
2y
31
4
/
10
y
2
1 1
Ib
1 /
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21
TlMt

HHi>
b.d
7.3
0.6
7.5
23.0
1 1.7
17.7
1 I.I
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23.6
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17.2
7.1
23.9
23.6
23.0
23.6
23.7
23.0
23.8
23.7
23. d
23.6
23.7
23. b
0.9
23.0
23.7
23.8
23.7
14. d
23. d
10. y
23.8
2J.y

S
hLlM

M**3
12.2
Ib./
Ib.l
lb.2
bo. 1
41 .1
3y .0
43. 1
4b.3
42. d
43 .4
43.7
1 /./
bO.O
bd.o
53.2
b4.0
bl .2
bl .0
54.4
b4.l
bb.2
70.3
70.0
67. b
iy.7
O0.3
od.b
od.o
/o. I
42. y
od./
31 .2
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/o. y

1 T b
>il
UIK
UEU
212
1 9j
2 Ob
2oy
4/
IbO
23d
Id/
23b
Ib
284
204
21 1
y2
313
bl
32
203
1 14
lOti
103
274
i y2
lob
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2oy
2b4
1 16
221
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243
244
33o
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MHH
b
6
b
b
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3
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3
1
2
3
1 1
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2
O
3
4
3
2
3
8
10
10
b
o
3
3
2
12
/
1
1 4
0
4
6
I A U A H A K H 0 N T
COAKSH
CSH
UUM/
M**3
31
/y
46
44
10
30
24
23
14
12
22
32
2b
II
6
b
12
20
16
2b
14
4
42
7
27
32
8
30
12
5
6
24
14
2
1 1
HAKriL
Hb


BR

I t H S f U
DATA
ZM

u y
(HAHT - 1
NI

Ht






) *****
M

CH

V

CA

S

NANl)iJHAMiJ/M**3
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24o
22y
20y
175
323
132
1 44
2Dy
200
o/
88
ioy
2/y
b4
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d/
205
2d/
333
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42
1 /b
i iy
2oy
400
o
3/8
13 1
o/
222
161
o20
38
3d
181
810
146
1 45
3y
23b
I/O
2ys
5/1
3o5
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50
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3y3
3/
41
30/
324
330
212
304
40
IOD
iy2
221
7 ob
0
byo
Ib3
IbO
2bb
y2
332
30
4 Ob
1 1
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y
209
2
3
3
3
15
3
3
60
23
2
2
2
2
2
2
2
2
2
47
1
82
7
2
48
22
1
3
14
4
1
25
22
8
9
9
2
6
3
3
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3
3
3
23
8
2
2
2
2
10
2
2
5
5
3
2
21
2
2
8
/
3
10
4
1
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2/y/
5564
1 6yy
2051
2oy
1431
976
1241
1299
6/8
804
24/3
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343
25 /
y3
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1156
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3968
319
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288
438
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385
03
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167
45
45
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50
14
48
30
10
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31
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17
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38
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40
a
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8
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9
4
10
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9
9
4
3
10
3
3
3
3
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2
2
5
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2
3
7
4
7
2
12
4
3
16
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4
1
b
4733
6920
23/8
2780
565
2324
1654
2750
2/66
9b3
1410
2216
1466
10/5
31 1
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1579
18/8
1 134
2700
1608
2od
5210
609
3149
2106
0
3348
1001
262
575
1887
543
131
byy
939
2165
1671
647
59
397
497
357
424
320
386
1519
1560
160
125
406
666
395
174
606
485
52
1001
198
1 119
449
0
742
848
383
37 /
951
372
218
3313

-------
S I T t
                                       N I A 0 A H A  F k 0 tt I I b H



                                       I   COAHSb  HArfriCULATb  UATA
      STUDY



           (HAHT -  I  )
                                                                 *****
FILTHH
bO!64
501/0
3O176
bOld2
50487
30493
30199
bO203
U
N
13
14
Ib
lo
I/
18
19
20
30211 121
30217 122
3O223 123
G 30228 124
50234 I2b
b024O I2o
30240

b02b2 128
302t>8
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30204 I3O
302/0 131
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2
2
2
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2
2
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3
3
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3
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3
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30
2
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a
12
14
20
22
20
28
4
7
10
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16
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22
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TIMH
23
24
II
23
22
12
6
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23
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316
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389
228
423
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295
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2988
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0
7
7
b
4
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49
6
40
34
7
1.7
13
10
10
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37
23
52
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0
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3
0
0
0
4
0
0
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2
2
3
2
2
2
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3
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5
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2
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2
7
2
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1148
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Ib09
593
497 1
541
1520
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4/4
2723
1235
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4634
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4399
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204
699
869
589
356
846
1196
902
369
730
351
757
1369
697
909
904
501
640
655
STATISTICS
                                 AVEHAUt
                                 STANUAHU
                 20.1  461.3  209.3
19.9
                 lb.4  120./  1/1.8   36.3
4.8 1164.2   26.9    2.3
        4.9  1108.6   32.7    3.2
5.0 1864.0  689.3
                            3.3 1705.9  b73.2

-------
S I T t
NIAGARA  F H O N T I  H H  S T U  U
i    CUAHSH  HAKficuLATK  DATA
- 2 )
F1LTI-M
it
30001
30021
30028
30030
3OO/3
30077
3OOdO
300dl
300d7
300y4
30Oyb
301 00
30ioy
3O201
M2 1 4
b0003
DOOO/
DOOI6
50022
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b0034
b0040
D0046
bOOb2
bOObd
b0064
bOO/0
bOO/o
bOI3J
bOl36
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bOI4y
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bl
68
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74
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d3
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dd
89
106
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107
108
109
1 10
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7
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9
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9
10
9
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10
10
10
10
10
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21
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21
2b
13
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b.8
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23.6
23.6
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23.0
23.8
23.7
23.8
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23.9
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M**3
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bl .2
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31 .2
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7O.9
rt I NU
OIU SPO
UhG MPH
212
193

-------
                                       N  I A O A H A  FRONTIER  S T U U Y



                           S  I T hi  tf  I   COAHSt  HArtf ICULATK  DATA        (^AHT - 2 )
*****
FILTt-H
DO 1 04
50)70
30170
50182
501 8 /
50193
5OI99
50203.
50211
502 1 7
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5022d
50234
50240
50240
50252
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b02o4
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19
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121
122
123
124
123
126
J27
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129
130
131
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1
2
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2
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2
2
2
2
2
3
3
3
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3
3
3
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A
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30
2
6
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12
14
20
22
26
28
4
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10
20
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23.8
24.0
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23.9
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23.9
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09.7
35.1
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19.4
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54.2
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254
241
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220
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17 1
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3447
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142
147
292
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430
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365
193
2IJ3
194
189
190
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1049
764
1469
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0
0
0
0
0
0
0
0
0
0
0
0
75
0
0
0
0
0
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3
83
86
513
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109
374
719
263
0
748
56
366
455
221
930
6/1
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151
207
CL
III
9/5
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158
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144
0
287
0
0
113
64
113
0
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4/4
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4
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1392
1369
1052
486
1153
2827
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1508
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16/9
2 194
1528
82 /
1614
1319
NO
2
0
0
O
0
0
0
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0
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0
0
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NA
0
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427
0
423
605
0
479
58
178
132
172
75
92
744
2384
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682
1771
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4
0
0
0
0
0
0
0
0
0
0
0
1098
20d
0
0
0
0
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0
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4
292
114
171
836
2589
173
0
287
0
142
56
172
664
166
688
234
96
246
377
BR-S
69
0
0
0
0
0
0
0
0
0
0
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0
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138
0
0
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55
86
199
230
298
0
0
167
0
213
37
64
113
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0
162
0
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STATISTICS
                                          3190.5 1008.3   )2.8  481.7 212.7  1293.1   22.8  282.2   24.2  248.2    7.4   68.2
                                 STANDARD 4532.6  882.1   37.o  498.73)4.9  1219.1  107.2  437.5  151.6  471.2   29.3   98.8

-------
*****
FlLTttf
30002
JOOOd
J0022
J0029
J0066
J007I
J0082
JOOdd
JOI 10
JOI 12
JO 122
J0202
J023I
b0002
bOOOb
3001 7
50023
bO03J
b003b
30041
50047
bOOb3
300by
3006b
bOO/l
b0077
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40
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61
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64
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72
68
69
70
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74
76
7d
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8J
d4
83
d/
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89
12
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Id
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120
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6
6
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7
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10
10
10
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10
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27
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20
22
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24.0
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bJ.2
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30.0
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DIH SHD
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220
212
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2Jd
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274
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b
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AOAHA FHONTIBH STUDY
COAHSH HAHTICULATt- DATA (HAHT - 1
CSP
UGM/
M**3
Id
42
6y
32
33
24
24
46
2b
42
21
10
b
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34
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12
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112
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266
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100
220
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37
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540
177
120
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312
281
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42
52 /
41
41
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1 60
3/2
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41
41
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41
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1 1
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2
2
2
5
4
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44
44
7
5
6
3
3
4
3
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2
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2
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5
2
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5
2
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15
2
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3
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2
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b
2
2
2
b
4
) *****
FH MN
NANOORAMS/M**3
bob
4742
4231
I4b4
1263
I2bl
1213
1660
lOOb
402o
bid
313
lib
166
b45
9bb
336
596
1453
2/59
4126
445
2/36
2332
495
1322
151
2475
1213
1 1 12
1503
63 /
285
884
532
1 1
8d
166
61
47
3/
24
68
43
bb
34
5
2
9
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33
b
Ib
122
36
91
10
69
4b
13
36
2
41
43
31
31
22
7
21
14
CH
II
0
7
5
6
3
7
4
0
0
0
5
0
0
0
0
0
0
5
0
2
0
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7
5
6
3
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3
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14
2
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16
19
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2
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b
4
CA
1 180
3043.
5614
24dl
1691
1760
2159
3812
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4945 .
2603
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478
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711
2790
1224
6614
6b9
4551
4051
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2b38
219
912
1469
J098
JO/5
803
337
624
400
S
242
1032
1647
612
563
392
442
593
y65
1762
181
128
60
150
7bl
.289
170
236
564
247
952
335
825
10.98
462
673
1243
393
518
bl 1
766

285
698
844

-------
O
                                              N I A U A W A  H H O N T 1 t H

                                  Sift  #  2   COAHbb  PAKTICULATbi  DATA
                           S f U L) f

                                (PAHT - I  )
                   *****
FILTHK
#
b02!2
b0218
5O224
30229
b023b
50241
3024 /
b02b3
b0239
b020b
bO2 / 1
0
N
121
122
123
1.24
I2b
120
\2I
128
129
130
131
M
O
IN!
2
2
3
3
3
3
3
J
3
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3
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A
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26
28
4
'/
10
14
16
20
22
26
28
TIME
24.3
10.3
24.3
24.2
24.2
24.2
24.3
16.6
24.3
24.2
24.3
HUM
M**3
b2.0
3b.4
bl.4
b2.2
bl.3
b2.3
b2.0
3o.4
bO.d
bl.O
bl .4
KIUU
UI rt SHO
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43
22O
17 1
61
23b
243
232
24/
2d
2b3
177
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4
Ib
4
13
Ib
12
1
2
13
7
CSP
U(JM/
M**3
b
Id
3
30
16
Id
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7b
b2
31
iy
,„
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2iy
id
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bl
Id
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1 99
212
92
99
aa
2lb
62
43
42
129
I3/
42
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lod
43
43
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2
3
2
7
2
2
2
3
38
2
2
NI
2
3
2
2
2
2
2
3
2
2
2
HE
iMANOGKA
24b
1901
223
1009
1098
2482
391
4447
2202
2887
1080
MM
13
31
b
39
2o
68
b
211
92
92
33
CH
2
0
0
0
0
2
0
7
2
2
0
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2
3
2
2
2
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2
M
b.
b
2
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397
1087
123
4192
1 169
1242
540
9081
73b8
2404
I8b9
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471
575
169
631
5ba
723
311
1190
809
822
417
                                                   22.4  143.4  191.8
                      8.b
      STATISTICS
                                        S fANUAHU
                                       DEVIATION
16.b   98.4  172.2   lb.9
b.b 1480.7   43.8    1.8
d./ I2bb.3   43.0    2.7
5.2 21 7.7.a  oOB.8
4.2 1998.4  378.8

-------
S I f h
   N I A U A K  A   »•  H O N f I h H  STUDY




*  2   COAHSt   PArti'lCULAt't  UATA         (PAHT - 2 )
                                                                    *****
HILTbH
30002
3OOOd
30022
30029
30O66
3 007 1
300b2
300bd
301 10
0 30112
oo 30122
3 O2 02
30231
30002
bOOOd
bOOl 7
b0023
bOU33
b003b
bOO4l
DOO4/
bOOD3
bOUby
bOO6D
300 /I
30O7/
DO 143
DOJ63
DO 17 J
DO 17 /
DOId3
301 bd
DO 194
DO2UO
oO2U6
J
4J
41
49
31
ol
00
64
63
o2
61
do
72
6d
09
70
73
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16
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11
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d4
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dd
b9
12
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14
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16
1 /
Id
19
120
M
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6
6
7
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b
b
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9
10
y
y
y
y
y
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10
10
10
10
10
10
1 1
1 1
1 1
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1
2
2
2
2
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Y
2b
27
19
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22
Id
30
1
24
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17
23
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29
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29
31
4
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23.7
24.0
23.4
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21 .b
24.0
24.0
24.0
12. b
24.0
24.0
24.1
24.1
13.1
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22.7
24.2
24.2
24.3
12.0
24.3
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24.3
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M**3
12.3
12. D
Id. 3
27.1
20.4
43. d
3b.b
32.2
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47.J
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43.2
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bO.3
DO. 3
52.7
26.0
b3.l
b2.b
b3.2
49. d
2d.O
42.2
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b3.0
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b3./
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bu.O
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220
212
193
209
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204
64
y
-------
S 1 T b  #
                                          I  A U A H  A  F  H  O  N T  I E  H  SfUUY
                                                                                I
                                            COAHSh   PAilTICULATt   DATA        (PAMT  - 2  )












o
\0
FILTtH
*
50212
b02!8
i>0224
b022V
b023b
DO24I
i>O247
b02b3
b02by
b026b
b027l

H
J
N
121
122
123
124
I2b
126
I2/
128
129
130
131

M
N
2
2
3
3
3
3
3
3
J
3
3

U
A
Y
2o
28
4
/
10
14
10
20
22
2o
28

TlMt
HKS
24.3
lo.3
24.3
24.2
24.2
24.2
24.3
10.6
24.3
24.2
24.3

FLOW
M**3
b2.0
3t>.4
bl.4
b2.2
bJ.3
b2.3
b2.0
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bl .4

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43
220
171
61
23b
243
232
247
28
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1 1
4
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4
13
Ib
12
1
2
13
7


1743
4/19
889
7625
3507
2535
2424
15470
.14321
4228
4834

AL

bdO
1444
iyy
8b7
4/2
403
830
1722
1400
y it
832

Jr

0
56
iy
O
58
0
0
28
0
0
38

NO
3

0
1780
0
421
350
194
615
847
yos
156
194

CL

0
339
77
153
116
0
0
593
/a 7
19
2/2

SO
4

0
1130
311
1016
II II
1434
5y6
1695
1062
1587
914

NO
2

0
0
O
O
0
0
0
0 .
O
0
0

NA
1
134
28
38
95
19
57
96
1017
d65
78
350

PO
4

O
0
0
0
292
0
0
141
0
0
0

Nii
4

3d
0
19
0
3d
3d
57
169
0
97
214

att-s

38
0
0
0
194
O
0
141
0
0
0

K

57
0
38
0
0
57
0
169
0
0
0

STATISTICS
                                 AVbkAUh  5399.4  959.3    14.2  571.2164.6   970.4   23.6   159.3    9.4   434.4    30.1    66.8
                                 STANUAMJ 4255.y  658.2   27.y. 678.0  199.7   670.2    88.7  216.5   47.4   373.9    /4.I   109.5

-------
*****
FILTtH
it
30003
30009
30024
30032
3003d
30Obj
300bb
300by
30000
30064
0 30072
0 3007b
300d3
300dy
300V6
30107
30I2/
30203
3021 1
302lb
30000
boooy
bOOI3
300i a
3002^
30030
b003l
b003o
b0049
bOOOO
30066
30072
300 /d
bOOdd
booy i
U
N
40
41
4y
bO
bl
b3
b4
3d
b6
61
60
by
64
63
66
02
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/3
14
11
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db
a/
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94
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M
0
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6
7
/
7
d
d
d
a
d
y
d
d
9
y
d
10
9
9
10
y
y
i
y
y
10
10
10
10
10
l
i
i
i
i
u
A
f
2b
27
i y
21
2b
o
2
12
d
22
Id
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30
1
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24
17
23
13
23
17
1 9
1 1
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29
7
b
1 1
23
31
4
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22
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fiKb
b.6
b.9
12. b
17.7
10.2
17.2
16.4
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10.0
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Id. 2
Id. 2
Id. 1
16.7
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12. b
23.6
23.6
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24. 1
24. 1
1 3. a
23.7
23.6
23. /
23. d
23. /
23.7
23. /
10.6
22. b
23.7
23.7
23.6
S
1 T t
N I
* 3
FLtJH WIND
UiH SHU
M**3
1 1 .6
12.3
2b.d
3o.b
3/.4
33.1
31 .0
2b.O
24 .1
Jb.4
3o.3
34. d
37.4
34. b
33.4
23. d
4d./
4b.2
4y.6
4/.3
bO.3
bO.2
34.4
A(J A
~ y • ~
4y.o
bO. 2
ii*J A
40.1
49.3
49. 1
34.6
47.0
49 .b
b2.b
bl .d
utu
226
212
i y3
20b
2oy
330
197
iai
219
23a
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IbO
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2a4
21 1
04
92
4/
313
bl
32
190
20b
1 14
274
163
lot)
1 92
219
209
2b4
1 16
9d
2dl
MHrl
b
b
o
b
b
2
0
4
13
4
3
4
3
1
3
7
1
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3
4
1
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2
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d
3
10
O
b
3
2
/
4
A U A H A H H U N T I b H S T U U Y
COAWSt PA.-friCULATF. UATA (HAHT - 1
CSH
UGM/
M**3
31
bO
bo
40
23
22
3b
34
40
24
2b
27
20
34
23
-b/
2d
10
b
a
o
14
16
14
1 1
b
4
23
9
20
37
12
2b
6
Ib
,„
an
ZN
Hi
Ft
) *.****
*
CH
V
CA
S
NANO(JHAMS/M**3
249
293
1 39
91
83
Ib/
02
Io2
43
103
22d
210
yy
300
2/
131
2d4
2/2
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140
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db
112
2la
291
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19
1 93
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2/3
263
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332
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2b9
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244
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462
44
140
2/4
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362
336
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44
36d
1 99
146
2d/
b/4
70b
42
207
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1 1
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40
3
4
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22
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2
2
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17
2
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3
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44
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23
4b
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3
3
3
4
10
6
3
3
3
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4
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b
2
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2
2
2
2
4
2
2
2
b
2
b
2
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2
2
47b
7212
3702
3038
ioao
6b4
I6ia
1 110
2bb7
1 119
1220
1017
980
1336
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2/b
92
2/b
9d
29b
624
723
299
-.234
bib
J068
2113
2263
1 9bl
486
1116
240
313
\ \
90
69
83
33
J9
40
27
39
27
38
31
33
40
27
139
2b
9
0
a
2
a
20
22
b
b
2
2b
47
b3
39
14
2b
2
2
II
0
b
3
0
3
4
b
13
3
3
3
3
4
3
b
0
3
0
0
0
0
0
0
0
0
0
0
2
0
0
0
0
0
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1 1
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b
7
7
3
4
16
6
3
3
3
3
12
3
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b
3
2
2
2
2
4
2
2
2
2
2
2
a
19
2
2
2
5 .
I03b
76bl
bJ43
3490
Ib02
I2b0
2092
1631
2190
1616
1689
2349
1609
2279
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63 Id
26bb
820
259
b47
39 /
1499
2b37
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879
471
403
2070
30b9
3b49
31 /4
1 143
22b6
720
I2b7
130
2197
1269
1 103
462
3b4
bb4
677
1062
446
366
966
303
42b
398
191 1
lab
119
33
201
82
719
471
260
Mb
132
187
374
6b9
780
8b9
395
6b2
237
302

-------
o
                                              N I  A J A H A  H H O N T I  b H

                                  S  I  f b   if   3   COAHSb  ^AKriCULAfb  UATA
                             T U U Y

                                (J^AHT -  I  )
RLTbrt
ff
b0097
b009V
bOlO3
bO 1 07
bOIIO
bOl 14
DO lid
bOI22
DO 123
bOI34
bOI3b
bOI4b
50 IbO
aOlb/
bO)62
bOloO
bOI72
bOJ 78
b01d4
b0189
bOlVb
b020l
b0207
b02!3
b02!9
b0230
b0230
b0242
D024d
a02b4
b026O
b0266
b0272
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yo
VD
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9d
yy
101
102
104
103
lOo
(Ob
lOd
ioy
10
12
13.
14
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16
17
Id
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120
121
123
124
I2b
126
127
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I2y
130
131
M
0
H
12
II
12
12
12
12
12
12
12







2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
U
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Y
4
30
6
10
12
16
iy
2d
22
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2
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17
21
27
30
2
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d
12
14
20
22
26
4
7
10
14
16
20
22
26
2d
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23.7
23.6
23.7
23.6
23.7
23.7
23.6
23.7
23.7
23.7
23.7
23. 7
20.6
lb.3
23. d
24.0
24.0
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24.0
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Id.l
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24.0
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47.6
46.7
4d.l
47.4
47.d
4d.l
4y.3
bO.3
4y.6
4d.3
bO.b
47.6
41 .d
31 .4
b2.l
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10
10
17
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72
b3
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20
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72
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1/3
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30
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30
23
b2
140
03
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31
60
bl
bl
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37
67
23y
167
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8H
46
124
230
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46
126
44
44
197
43
40
b3
70
42
42
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42
2ld
176
102
71
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43
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6
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2
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36
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33
22
37
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29
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2
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7
26
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14
32
4
b
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34
32
99
80
30
27
CH
0
0
0
0
2
0
0
0
0
0
2
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0
0
0
0
0
0
0
0
0
0
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2
2
2
2
2
5
2
2
2
2
2
2
3
4
2
7
2
6
2
b
3
6
4
2
2
2
2
2
2
3
5
2
2
CA
1511
2411
4593
1017
1023
.1561
161 7
1060
1229
3 lob
411
2398
2 Ob
136
7d6
36d
4db
1437
6d4
715
816
339b
611
266
224
2562
814
927
1399
6128
66d6
1727
16/7
S
448
444
792
216
588
579
393
432
366
1536
263
727
341
229
781
187
200
821
370
414
380
1334
723
312
213
583
654
500
703
721
684
367
375
      S  T  A  f  1  S  T   I
                                        AVbKAJb
                                       ijfAHUAHU
                                      UbVIATION
Id.9  119.6  177.3    8.O
13.6   do.O  141.6   14.3
4.1 1171.2   26.1 -   1.3
b.d 1236.3   26.0
2.4
                                                                                                            4.0 1861.2  545.0
3.4 I6U.3  406.2

-------
*****
                        N I A 0 A



           SITE  #  3   OMHSH
A  H H O N T  I  t  H  S f, U U Y



HAKTICULAfd   DATA        (fAHT - 2  )
*.****
F I LTtH
#
30003
30009
30024
30032
30038
300b3
300bb
300b9
3000O
30004
300/2
300/b
30083
30009
J0096
JO 107
JO 127
30203
J02I 1
30213
300O6
3000y
30013
30010
30024
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30031
30036
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b0060
b0066
60072
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40
41
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31
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34
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60
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64
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107
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74
77
76
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94
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6
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23.7
23.7
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M**3
1 1 .6
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36. b
37.4
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226
212
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203
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330
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136
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2937
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1212
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3300
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1274
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7300 .
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4174
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2309
2932
1600
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291
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209
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630
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202
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290
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102
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317
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2b22
2108
2191
980
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2130
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702
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300
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-------
SITE
                                       -N  I  A U A  H A  H  » O N T  I  t  H   STUDY



                                       3    CDAHiit HAHTICJLATt   UATA        (PAHT - 2  )
HILTEH
ff
booyv
booyy
30403
30J 07
bOI 10
301 14
301 18
30122
30123
bOI34
50133
30l4b
bOlbO
bOlb7
30162
50160
501 72
- 3O1 78
00484
bO 4 89
50193
30204
30207
30213
b02|y
o0230
30236
00242
00248
3O234
30260
30200
302/2
K
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96
93
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98
yy
101
102
104
103
106
103
108
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10
12
13
14
13
16
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18
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120
121
123
124
123
126
127,
128
129
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30
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12
14
20
22
20
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10
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16
20
22
26
2a
TIME
MS
23.7
23.6
23.7
23.6
23.7
23.7
23.6
23.7
23.7
23.7
23.7
23.7
20.6
15.3
23.8
24.0
24.0
18. 8
24.0
22.9
18.1
9.9
44.3
23.5
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24.0
24.0
24.0
24.0
49.2
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24.0
24.0
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48.1
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43
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75
103
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209
307
322
229
221
288
243
244
330
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277
254
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251
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220
247
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171
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235
243
232
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2d
233
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17
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2336
3440
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31 70
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3848
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722
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213
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420
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                                          4/J3.7  823.0   21. /  548.2 24O.8   9lb.8    16.0   182.4
                                                                           .0  104.3
                                                                          5.5    44.0
S  T  A  T  I  S  T  I
                                Ob y/1 ATI ON
3/62.8  002.8   04.2  642.9 662.8   650.1   83.5  233.7
                                                                                                       .0  308. /    22.5
                                                                                              76.4

-------
            N  I  A  (J A K A  H H 0 N T I h H



b I I t  tt  4    COAKSH  HArfTlCULATb  UATA
STUDY



     (HAI2T -  I  )
*****
FILTtH H
U
it i4
3OOO4 4O
30010 41
30023 49
30039 b 1
30044 OO
300b6 34
300b/ 33
30O6I 38
30070 by
30084 64
300yO 03
30oy/ oo
30101 61
30106 o2
301 1 / 61
30124 80
30204 72
30223 08
300OI 6y
30010 /O
booiy 73
b002b /4
30032 /o
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30048 83
30033 84
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300/3 8d
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13
17
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10
16
22
20
20
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TIME
HWS
o.b
6.3
7.8
12.3
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16.7
7.1
6.8
17.7
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17.7
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274
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209
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210
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3
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1226
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280
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-------

FILTtH
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bOl ID
bony
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b01b6
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M
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3
3
J
3
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A
Y
10
12
lo
iy
22
y
1 1
Ib
1 /
21
27
30
2
d
12
14
20
22
2o
2d
4
/
10
14
10
20
22
2o
2d
****
flrtt:
HHS
24.0
24.0
20.8
24.0
24.0
24.0
12.9
24.0
19.6
22.3
17.0
24.1
24.1
24. 0
21 .2
16. b
9.d
14.6
24.0
9.b
24.1
24.1
6.0
24.1
b.O
24.0
23. b
24. 0
24.0
S J
FLOM
M**3
b2.o
b3.2
40.3
b3.2
b4.l
57.1
30. b
bo. 4
44.1
bl .8
3d. 2
b4.4
b4.4
b4.0
4 /. /
37.1
22.9
32. y
D3.2
20.9
ba.l
b2.7
13.0
b2.7
II ./
b2.0
DO.b
b2.3
b2.9
1 f t
nit
UIH
UtU
103
3/
209
307
229
221
19O
243
244
336
23 /
277
2b4
2bl
43
od
220
247
43
220
171
61
23b
243
232
24 /
28
2b3
177
H 1
# 4

40
42
169
42
bbD
lay
260
42
104
2
10
2
2
2
29
4
27
3
2
3
2
2
2
2
3
6
4
2
0
2
2
127
2
11
4b
2
Ib
2
2
2
2
2
2
9
4
7
3
2
3
2
2
2
2
3
6
4
2
o
2
b
21
2
II
2
2
2
2
1645
I8O7
1813
/Od
241 1
3058
781
3108
718
401
Ibb4
7O4
2d49
2b64
2lb
J062
3021
1603
161
43db
66 b
ddd
10220
29J3
b932
66o9
Idb4
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1213
23
28
17
Ib
30
46
13
31
3
8
7
20
53
46
0
II
36
33
5
1 12
12
23
244
70
94
218
60
03
34
0
2
0
0
0
0
0
2
0
0
0
0
2
0
0
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0
0
0
0
0
0
JO
2
II
b
2
0
0
2
2
2
2.
2
4
13
2
6
2
3
2
2
2
2
3
6
8
2
6
2
2
10
2
II
15
2
5
2
995
2b93
39b4
1294
2805
7694
2777
3491
432
243
481
529
1613
II 12
58 J
1010
7987
753
Id9
4722
371
2504
26J92
2 Id/
IJ2/3
8687
65 04
I67/
1624
379
777
790
317
616
1956
518
899
539
353
655
363
791
679
363
413
1913
669
234
1236
354
b20
6272
63b
2363
1150
674
732
478
T  A  1
I   C  i
                              SfANOAUU
                             UtVlATiON
                                         20.4  119.7  184.0   Ib.l
                       19.7   84.1   I4O.4    27.4
                                                    4.7  2210.0   4b.4    2.4
4.b 2021.5   bl.7    4.2
                            b.3 327d.y  744.7
4.2 4087.2  850.I

-------
b I 1' t
c^
                                               N  1  A U A K A  H H I) N T  I  H H  S f U L) Y




                                               4    COAHbH  HArfllCULATh   DATA        (PAKT - 2  )
HILThH
J0004
JOOIO
3002D
joojy
J0044
JOObo
JOOb/
JOOOl
300/6
J00d4
jooyo
30097
JOIOI
JOI06
JOI 17
JOI24
30204
30223
DOOOI
DOOIO
bOOly
b002b
DOOJ2
b004J
3004b
bOObb
bOOol
bOOo/
bOO/J
b007y
bOOd/
D0089
b0090
D0092
OOIOO
H
u
N
40
41
49
b 1
00
b4
bD
bd
by
64
6D
66
O/
02
01
bO
/2
ob
09
/O
/J
/4
/O
II
bJ
d4
8D
d/
dd
by
y i
yj
92
94
9/
M
O
N
6
6
7
/
d
U
b
b
b
d
9
y
y
b
d
10
y
9
y
y
y
y
10
10
10
10
10





i
i
12
u
A
Y
2b
2/
iy
2i
Id
2
o
12
Ib
JO
1
/
1 1
24
22
17
2J
IJ
17
iy
20
29
b
/
2b
29
Jl
4
/
10
10
22
20
2b
0
ruit
HHS
o.b
6. J
/.d
12.3
23.9
b.O
JO. 7
7.1
6.b
17.7
17.7
1 /./
1 1 .J
b.l
16.2
J6.2
24.0
24.2
24.1
24. 1
23.9
23 .9
24.0
23.9
23.9
24.0
1 /.3
14.7
22.3
23. J
24.1
24.2
24.1
24.0
13. y
t-LOtrf
IJ./
1 1 .9
lo. 1
24. d
4y . J
y.d
Jb./
14.0
1 J.2
J/.d
J7.9
Jb.d
24. y
JO./
J4.I
J4.0
50. J
bo.y
bi .y
bi .y
bJ .3
bl .J
bl .2
b4.d
4y./
51. b
JO. 7
Jl .6
4d.J
bO.2
b2.y
b4.J
b4.2
b4.d
JO.D
utu
226
212
i y J
209
Ibo
iy/
3JO
1 dl
IbO
id/
2JD
2d4
204
21 1
2Jb
64
92
4/
b 1
J2
20s
1 14
I6J
274
1 92
1 6b
219
209
2b4
1 16
69
28!
210
9d
/3
We'd
b
b
6
b
J
o
2
4
4
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1
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1 1
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4
1
2
y
j
4
3
2
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10
10
3
6
b
3
2
4
4
6
7
6
s,
bbb7
247 b
2210d
7036
6b/7
6762
5d43
dl/J
16622
5db2
7049
1 1 jyo
//JJ
I267b
6y2/
442b
29J6
946
14/9
2330
4/d/
4441
493d
1 /Ol
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1329
9b90
IO23b
4231
I0b3b
2JJ4
2910
2039
20d3
b927
AL
730
do4
4I3J
lody
I2bd
1044
2d/
7J2
246d
lolti
1 J>>0
2l9d
I2db
Jb02
1426
1021
1197
201
42J
7 ay
710
b2y
b4d
Id/
1 J4J
1 9b
7/6
Id66
d4J
24 Jb
193
1 dd
4J4
412
/do
F
0
0
JO
0
0
0
0
0
0
42J
0
0
0
0
0
0
0
0
0
0
0
19
0
0
261
0
dl
126
0
0
Id
0
0
0
b90
NO
J
b!2
0
Ib20
J22
bdd
IJ25
I2d9
2142
7bb
317
2007
7dl
0
Ibd4
792
b8
99
0
1 Ib
442
330
194
I9b
91
382
96
9b2
33b3
1242
975
132
no
221
109
689
CL
292
232
216
120
81
713
2b2
214
Ibl
79
264
IJ9
160
3/2
146
88
119
39
b/
0
0
11
39
36
241
19
0
411
82
79
18
2lb3
313
b4
820
SO
4
6b8
2b2
2043
845
405
2b48
1037
1000
2190
898
13/3
1534
I88b
3261
1232
205
2J8
19
21 1
1251
427
253
4d7
23 /
I2od
426
1579
3005
1 /39
13/3
170
0
756
620
2264
NO
2
MS/M**3
0
0
1393
0
20
101
56
785
0
0
0
O
681
372
0
0
178
O
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
NA
219
337
191
161
81
I32b
308
214
226
79
132
I9b
120
186
88
b8
59
58
3d
n
58
0
39
54
120
19
136
63
103
79
56
2558
55
127
164
PO
4
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
41
0
0
0
0
0
0
Nd
4
0
0
0
0
0
0
0
0
Ibl
0
0
0
40
186
88
0
0
0
0
0
38
0
0
18
0
0
27
253
41
39
0
92
0
0
O
8H-S
73
0
0
40
0
0
0
0
0
0
0
0
0
0
0
0
59
0
38
0
0
0
0
0
60
0
0
0
0
0
0
0
0
O
0
K
0
252
408
120
00
407
168
142
226
105
79
139
120
186
88
0
19
19
0
0
0
O
0
0
100
0
81
126
20
0
0
0
92
0
229

-------
n
                      *****
                                 S I T t
                  NIAGARA  F Hi) N I I b H  STUDY



               #  4   COAHSh  ^ArtfieULATt  DATA        < ^AUT - 2  )
                                                                                                   *****
FILTtiH
tf
50104
3OI 1 I
bOI Ib
boi iy
30124
bOI30
3O14I
bOI46
bOlbl
bOlb6
bOI6l
bO.I 67
30 1 73
boi /y
30IVO
boiyo
D02O2
30208
b02l4
30220
b0225
b023l
3023 /
b0243
3024V
b02bb
3O2oJ
3020 /
b02/3
H
0
iM _
ya
yy
IOI
102
103
100
IO/
108
ioy
10
12
13
14
16
17
Id
iy
I2O
121
122
123
124
123
126
127
128
i2y
130
131
M
o
N
12
12
12
12
12







2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
U
A
10
12
10
iy
22
y
1 1
13
17
21
21
30
2
a
12
14
2O
22
2o
28
4
7
10
14
10
20
22
20
28
TIMt
HHS
24.0
24.0
20.8
24.0
24.0
24.0
12. y
24.0
iy.6
22.3
.17.0
24.1
24.1
24.0
21.2
10.3
y.a
14.6
24.0
V.b
24.1
24.1
6.0
24.1
b.O
24. 0
23. b
24.0
24.0
FLOW
M**3
b2.6
b3.2
46.3
b3.2
b4.l
b/.l
30. b
bo. 4
44.1
bl .8
38.2
t>4.4
b4.4
b4.O
4/. 7
3/.I
22. y
J2.9
b3.2
20. y
33.1
b2./
13. 0
b2./
II. /
b2.0
bO.3
32.3
b«>.y
Ulrt
UbU
IO3
37
2oy
307
22y
22.1
iyo
243
244
336
237
277
2b4
2bl
43
68
220
247
4J
220
171
61
233
243
23^
24/
28
2b3
1 //
SHU
MHti
12
y
IO
3
12
12
1
14
o
4
6
y
10
13
3
4
6
O
1 1
4
Ib
4
13
Ib
12
1
2
13
1
SI
404b
2382
3600
2623
37/8
2ooy
1836
42y3
2bb6
.1000
86b
1 /84
3972
2b/2
1429
Ib47
4b4
3lb
I9b
.204b
1406
3 7 Ob
/9b
2474
19/3
1 00b7
I2ooy
4307
4/20
AL
b3y
i y2
221
iy2
660
1 /9
330
93b
232
197
2oa
6ia '
432
3d 4
2lb
273
448
311
192 "
4d9
386
830
785
b90
8/4
2337
1 b49
b3d
428
F
O
37
0
18
0
3b
0
I9b
22
O
O
0
O
37
62
26
87
0
37
47
0
0
b36
0
83
96
0
0
0
NO
3
9b
432
7b6
37
29b
473
262
496
339
lib
130
bb
bb
333
104
2lb
099
00
18
81 1 .
36
3/9
Ib32
189
1791
768
871
229
94
CL
4b6
732
2939
846
7/6
b2
0
266
90
38
b2
0
220
166
b4b
107
8/4
182
0
4/7
72
94
4b9
37
938
826
574
343
434
SO
4
b70
Ib40
821
b64
1090
3049
b90
12/7
906
b79
993
441
1 Ib/
1481
b4b
bob
3891
1124
b26
2292
bO 7
910
7586
Ib93
4607
1480
1 128
1471
/bb
NO
2
0
0
0
0
0
0
0
0
0
O
0
0
0
0
272
0
0
o
0
0
0
0
0
0
0
0
0
0
o
NA
380
206
1 728
620
1386
245
295
408
t>43
328
Ib6
110
220
333
272
3/6
43
334
0
238
54
75
4b9
b6
341
1614
bb4
229
328
PO
4
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
60
0
0
0
0
0
0
0
0
0
0
0
iMli
4
3d
36
0
O
0
0
6b
35
0
O
52
0
Id
37
1888
107
0
212
0
191
30
1 13
229
37
0
249
0
O
0
dR-S
0
0
0
37
0
0
-98
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1791
0
0
0
O
K
0
0
0
0
0
0
0
35
0
0
104
91
0
0
0
0
0
182
0
47
• 54
0
229
0
85
326
0
0
0
      S  T   A   T  1
i   C
                                                4y2y. I   860.8   44.8  bb/.6 323.3  1277.0   60.3  311.2
            STAiMOAHU 4302.7  8O4.3  116.3  o4o.8483.y  1228.2  2iy.9  4bo.b
                                                                                1.6   67.7   34.3   67.8
                                                                                                           y.O  240.8  223.9   100.I

-------
*****
FILTER
a
JOOOb
JOOI 1
J002o
30040
JOObO
J00b4
J0002
JOO/4
JOO/b
0 JOObb
i-1 J009I
00 JOOW
JO 102
JOJOb
JOI Id
JOI2D
J020b
J0222
J02J4
b0004
bOOl 1
D002O
b002o
bO029
bOOJb
b0042
bOObO
bOOb6
bOOo2
bOOOd
D0074
DOOdO
D0086
bOIOJ
bOI OD
U
N
40
41
49
bl
54
bD
DO
D9
60
64
ob
60
6/
02
61
dO
/2
Od
d2
69
70
/J
74
/6
78
77
dJ
d4
dD
a 7
bd
d9
91
90
91
M
N
0
6
7
7
b
d
d
b
d
d
9
y
9
d
d
JO
y
y
10
y
y
y
y
10
10
10
10
10
10
1 1
1 1
1 1
1 1
12
12
U
A
Y
2b
2/
19
2b
2
6
d
Ib
Id
JO
1
/
1 1
24
22
1 7
2J
13
2J
.17
19
26
29
b
1 1
/
2b
29
Jl
4
/
10
lo
4
o
TIME
rirtS
o.b
o.J
10.0
9.J
O.J
1 1.9
10.2
b.o
16.0
Ib. 1
1 J.6
17.9
11.7
10.1
JJ.7
24.0
24.0
2J.b
24.0
2 J.6
24.0
19.8
24.1
24.0
24.0
24. 1
24. 0
23.9
20. 1
Ib.J
22.8
24.1
24.4
24.1
14. b
S
FLOH
M**J
1 J.4
1 J.O
19. b
1 /.d
12. 2
32.1
19.9
9.b
2b.9
31 .b
1 9. 1
32.9
Ib.O
17.2
23. b
49. b
40.8
41 .d
49.3
49. J
4b.2
J4.8
J9.b
J9.0
J6. 7
4b.b
bO.b
bo.b
bJ.b
37.4
bo.O
04. /
bb.b
bd. J
J2.J
1 J^ E
OIW
OEG
226
212
I9J
209
I9/
JJO
219
IbO
Jbo
Ib/
2Jb
2d4
204
21 1
2J8
04
92
4/
Jl J
bl
J2
2 Ob
1 14
I6J
IOU
2/4
192
I6b
219
209
2b4
1 10
69
4J
73
H I
# b
ti

217
74
198
194
19
293
48
233
1 /I
I7b
2J2
oJ
33
b6
I id
198
1 Id
2J
70
100
1 Db
1 19
20J
78
2J/
19
104
149
ID9
144
I4b
201
Id9
Jd
90
BH

1 109
109
1 IJ
124
Ibl
401
1 1 1
918
2bl
Jb6
1 16
J24
122
491
94
4/0
JIO
bJ
44
JJ4
261
2/4
221
bo
422
4D
102
2b/
91
155
4JO
JI2
Jb4
Jd
Jl /
ZN

10
10
/O
b4
1 1
77
6
12
42
4
137
4
23
b6
b
2
2
3
2
19
2
3
3
3
3
2
19
2
19
48
9
40
2
21
bl
Nl

10
10
7
7
11
4
6
29
b
4
7
4
7
b
1 1
2
b
3
2
b
2
3
3
3
7
2
y
4
7
3
2
2
2
2
17
FH

1 J09
880
68b4
b3b6
4286
3209
2670
9024
3824
J093
6/83
20)6
3664
oObO
6143
8/3
666
308
20oO
b28
44b
JO/9
768
1448
bJ60
287b
24J9
725
4168
4048
988
IbJb
724
200b
72J8
) *****
M

20
21
141
9J
79
34
83
189
53
43
Ib2
42
122
161
64
22
II
3
25
b
8
bl
7
7
101
25
51
7
82
77
12
27
7
57
94
CH

0
0
7
7
II
4
6
14
10
4
7
4
0
0
0
0
0
0
0
2
0
0
0
0
0
0
0
0
2
3
2
2
0
2
4
V

10
JO
7
7
22
4
6
14
5
4
21
4
7
8
b
2
2
6
b
2
2
3
3
3
7
b
2
4
2
3
2
2
9
2
4
CA

21 //
6940
8954
4735
4252
2414
84b2
1 IbJI
4290
2394
5455
2/86
7412
13213
4980
1340
769
324
2271
483
Ild7
2820
884
493
5914
44 /
2691
735
9467
10430
1005
2Mb
99d
4017
6691
S

145
1 135
1475
706
773
483
1436
2434
470
355
667
543
18/4
2255
619
148
130
43
454
157
715
314
189
227
844
302
631
237
1197
1383
343
543
229
734
1394

-------
o
SITE
                                             N  I A U  A  U  A   F  H  O N T I  fci K



                                          it  5   COARSE  HAHTICULATE  DATA
                                             S f U U
                                                                  .*****
FILTEH
50108
501 12
50 No
50120
SOI27
50132
5OI37
50142
50147
50152
5OJ55
DO 160
50168
5OI74
DO.IdO
bOI85
DOiyl
5oi9/
D02O3
502 oy
50215
t>022l
50220
50232
5023d
50244
502DO
50250
DO262
502od
502/4
K
J
IM
9d
99
101
102
104
JO5
lOo
IO/
JOd
109
IO
12
J3
14
15
10
17
Id
49
20
121
122
123
124
125
I2o
I2/
I2d
129
130
Ul
M
0
N
12
12
12
12
12








2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
U
A
Y
10
12
16
19
2d
2
y
II
15
17
21
27
30
2
0
d
12
14
20
22
20
2d
4
7
10
14
16
20
22
20
2d
TIME
HHS
24.1
22.4
20.3
24.0
23. y
24.1
24.1
d.l
24.1
15.3
iy.3
15. y
2y.2
16.1
17.0
15.4
20. d
21.5
13.5
15.6
24.0
Id. 5
24.0
24.2
20. 5
lo.3
21 .y
17.1
24.0
IO.4
24.1
FLUrt
M**3
51 .9
51.4
44.5
53. D
57.6
63.1
59.6
17.0
53.3
32.0
42. b
3D. 5
OO.O
39.8
39.8
JO.I
40. D
47. /
30.3
34.5
52.8
40.0
50. /
bl .7
44.1
JD.6
4/.9
36.4
50.8
22.2
52.1
rill
OIH
OEU
IO3
37
209
307
322
2dd
221
lyo
243
244
33o
23 /
277
254
241
251
43
od
220
24 /
43
220
171
61
23D
243
232
247
2d
253
1 //
10
SHU
12
y
10
3
4
/
12
1
14
6
4
6
9
10
3
13
3
4
6
6
II
4
15
4
13
15
12
1
2
13
'
CSP
UJM/
M**3
33
18
20
J3
12
II
15
6
27
12
8
27
3
25
19
24
10
9
17
20
4
29
5
13
27
23
25
80
44
38
19
,.
Id
id
59
HI-
MO
41
32
204
59
103
22
27
00
142
104
103
160
69
03
ID2
41
191
43
DO
1 b3
|D9
2U
2db
II /
21 /
154
-
42
43
49
41
360
35
134
571
41
69
52
229
33
55
D5
61
47
46
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64
41
266
188
246
50
62
46
593
43
99
42
ZN
34
2
12
2
2
2
6
8
31
4
3
23
2
10
3
95
2
2
4
4
2
27
2
2
3
3
37
68
27
56
DO
NI
2
8
3
2
2
8
2
8
10
4
13
3
2
3
3
3
2
2
4
4
2
3
2
2
3
3
2
3
2
o
2
FE
4328
4071
1339
94O
834
1 739
1776
742
3646
1 124
16/1
4264
669
6474
294 /
4884
467
737
1529
23/9
199
3950
461
687
1642
3/20
2d24
144 Yd
3036
53ol
2329
MN
72
32
31
15
21
19
25
16
41
12
16
35
8
76
38
5/
5
17
54
68
2
61
d
16
15
73
107
262
79
74
50
CH
0
0
0
2
0
0
0
0
0
0
0
0
0
3
0
0
0
0
0
0
0
0
0
0
0
0
0
7
2
0
0
'
5
10
3
2
2
2
2
8
2
4
3
3
6
3
3
7
II
5
9
4
2
17
2
5
3
3
8
II
2
6
2
CA
2002
2025
3030
I55/
841
1283
1429
HOI
3222
830
690
5531
191
3J70
3I8/
3505
761
870
3420
4009
194
3332
8t>7
1499
876
3848
0534
IO435
5566
6638
1712
S
688
897
853
365
370
710
720
342
1069
661
374
1699
141
612
862
1 163
437
493
803
,1167
173
, 894
275
463
386
9/2
865
1130
627
1507
4/8
                        T  I  C
20.7  II9./  200.4   22.0
                 20.2   /l.d  20/.d   29.0
                                                                                D.O  2V20.7    31.2    I .6
                                                                                4.4  2507.6   49.4    3.O
                                                                           5.4 3472.9  723.9
                                                                           4.3 30d6.2  509.6

-------
*****
           S I 1' t
   N I A U A H A  H H 0 rt f  I h H   S  f  U  U  Y



«f  b   COAHSt  HAHTICULATH   DATA         (HART - 2 )
                                                                             *****
HILTttf
JOOOb
JOOI 1
J0020
J0040
JOObO
J0054
J0062
J0074
JOO/d
JOOdb
S J009I
0 JO099
JO 102
JOlOb
JOI IU
JOI2b
J020b
J0222
J0234
30004
30011
b0020
b0026
D0029
bOOJd
60042
bOObO
500b6
50062
5O068
5O074
500bO
5OObo
60101
50103
U
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40
41
49
3l
34
33
bo
by
60
64
ob
66
6/-V
02"
01
80
72
6d
82
09
70
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74
7o
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7 /
8J
84
8b
til
88
d9
91
96
9/
M
O
N
6
O
7
/
a
a
a
a
a
a
9
9
9
a
a
to
9
9
10
9
9
y
y
10
10
40
10
10
10
n
u
1 1
1 1
12
12
u
A
Y
2b
27
iy
25
2
o
a
15
la
JO
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7
1 1
24
22
17
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2J
17
19
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2y
b
II
7
2b
29
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4
7
10
lo
4
6
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HWb
6.5
6.J
10.0
9.J
6.J
J7.9
10.2
b.6
lo. 0
Id. 1
IJ.6
17.9
11.7
10. 1
IJ.7
24.0
24.0
2J.b
24.0
2J.6
24.0
19. a
24.1
24.0
24.0
24.1
24.0
2J.9
20.1
lb.3
22.8
24.1
24.4
24.1
14.8
M**3
4J.4
13.0
19. b
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12.2
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25. y
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ly.i
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49. J
48.2
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4d.5
66. d
bo. 6
5J.d
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56.0
04.7
55. b
58. J
J2.J
rtli
UIH
UtU
220
212
1 9J
209
197
JJO
219
150
Ib6
Id/
2Jb
284
204
211
2J8
04
92
41
JIJ
bl
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20b
1 14
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168
274
192.
I6b
219
209
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09
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75
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SHU
MHd
b
b
6
b
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2
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4
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1
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1 1
7
4
1
2
9
6
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4
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2
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3
10
10
b
O
b
3
2
4
1 /
6
SI
b03b
2b78
10191
5077
7bl6
62bl
6102
20804
b/34
bllO
984b
7830
1 4479
1 177 1
704b
bOJ7
1906
1 JJ4
J509
4812
2469
6118
4J55
2929
1 I8J3
1 4 1 7
9221
2423
by 17
10183
37y6.
8325
3b08
2311
b889
AL
767
78b
2291
574
49JJ
1719
I54d
41 b5
9JO
J25
J460
8d4
15/4
1901
1040
VJO
692
844
8J9
IU/
4/4
aaa
60 /
262
2024
6b8
1657
948
922
1720
IOJJ
1 743
J/2
1 /b
JI /
F
0
0
56
56
164
62
1268
7J6
0
0
0
0
0
52J
O
0
0
0
40
0
0
0
50
0
81
0
\l
0
316
213
0
30
18
0
92
NO
3
6/3
4b9
2295
952
14/7
1746
9O6
1263
1081
28b
3038
8b 1
1164
1919
809
141
42
23
263
243
477
402
202
0
680
0
299
88
911
3927
142
018
216
8b
baa
CL
299
76
281
224
0
218
l3l
626
193
158
523
121
166
349
340
121
8b
23
121
243
0
57
76
102
190
41
(Ob
17
260
.534
0
108
18
0
2136
SO NO
4 2
dANOUHAMS/M**3
823
1149
2745
504
1313
IO29
2114
-3789
733
571
1571
1367
3716
4653
1065
181
235
71
425
649
1349
488
202
333
1143
514
1038
424
1897
2324
606
4/9
216
1 115
2bJ9
J/4
76
1280
. 56
82
0
0
b26
J47
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
O
0
0
O
0
0
0
0
0
0
NA
b98
229
107
224
82
155
25)
JI5
1 15
63
157
91
221
232
127
40
21
47
40
283
103
115
0
128
54
61
52
17
37
26
89
46
18
68
185
PO
4
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
o
NH
4
0
0
235
0
0
0
302
315
38
0
0
0
2/7
6J9
0
0
0
0
0
0
0
57
0
0
27
20
0
0
0
0
J5
46
18
0
0
8R-S
74
0
0
0
0
0
0
0
0
0
0
0
0
0
0
80
64
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
o
K
224
229
409
1289
164
93
204
315
193
95
261
60
no
174
298
40
0
0
0
0
0
0
0
0
0
0
35
0
55
80
1.7
0
0
51
340

-------





*****
HILThll

t
5OI08
3OII2
30116
30120
3OI27
. 30132
50137
50142
bO 1 47
bOI52
50153
3O160
30168
301 74
30180
30185
boiyi
30197
30203
30209
b02lb
30221
D0220
3O232
30238
D024H
3O23O
3O230
30202
30268
302/4
H
U
N
yd
yy
101
102
104
100
106
407
lOd
109
10
12
13
14
13
16
1 /
.18
19
120
121
122
123
124
123
I2o
127
128
129
130
131
M
0
N
12
12
12
12
12
4







2
2
2
2
2
2
2
2
2
3
3
3
3
3
J
3
3
3
U
A
y
10
12
16
19
2d
2
y
it
13
17
21
27
30
2
O
d
12
14
20
22
26
28
4
7
10
14
10
20
22
20
28
TlMb

HHS
24.1
22.4
20.3
24.0
23. y
24. 1
24.1
8.1
24.1
15.3
iy.3
15. y
2y.2
16.1
17.6
13.4
20.8
21 .5
13.5
15.6
24.0
Id. 5
24.0
24.2
20.5
10.3
21 .y
17.1
24.0
10.4
24.1

S
FLOW

M**3
51. y
bl .4
44.3
b3.b
b/.6
63.1
by.o
1 7.0
33.3
32.0
42.3
J3.3
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3y.d
3y.d
3o. 1
46. b
4 /. 7
30.3
34. b
52. d
40.6
50.7
51 .7
44.1
3b.O
47.9
30.4
bO.d
22.2
32. 1

[ T b
N
0 3
rtiNU
UIH
ObU
103
37
2oy
307
322
288
221
190
243
244
330
237
277
234
241
231
43
od
220
247
43
220
171
61
233
243
2J2
247
2d
233
177
SH1J
MHH
12
9
10
3
4
7
12
1
14
6
4
6
9
10
3
13
3
4
6
o
1 1
4
13
4
13
13
12
1
2
13
'
1 A U A 1
COAHSb
SI


4290
2518
3173
3015
3466
4418
2183
3027
2828
2829
866
292
369
2/56
2777
1683
1484
1207
2584
3OO
634
66O4
909
3993
235
2133
I3V4
1 1 706
12428
2oo3
46/D
< A f H
O N T
HAHTICULATb
AL


6/3
428
IO93
191
363
102
462
4240
52y
320
241
288
133
793
y8o
y3o
220
214
lOay
814
802
1 3y3
202
444
232
287
Oo2
23/1
Ib4y
1013
1 134
f


0
58
22
18
0
0
0
0
73
0
23
225
0
0
0
110
0
0
0
0
37
49
0
II
45
112
104
412
O
44
0
I b H
LIATA
NX)
3

V6
369
921
18
243
158
3&y
353
525
437
117
112
0
0
727
138
107
230
6by
231
94
1109
by
b60
22
224
7/3
7o9
788
26V
192
S T U
0 Y
(HART - 2
OL


1465
1966
1214
634
243
0
33
0
300
93
94
168
15
432
803
7/6
580
125
0
0
0
320
5V
134
181
224
22 y
/y/
334
339
211
SO
4

848
1732
1529
6/3
677
1076
1 191
707
1893
yyy
51 7
2730
195
1 IO5
1480
2190
730
649
1582
2037
492
1676
4/3
869
680
2304
1 190
1 704
dO/
3237
883

)
NO
2

O
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
o
0
0
0
0
o
0
0
o
0
lib

*****
NA


443
136
854
411
538
158
184
471
450
374
258
281
0
.201
25
0
1417
20
0
144
0
345
0
77
90
112
271
1044
768
179
211


HO
4

0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
251
0
0
0
0
0
o
0


M
4

77
5d
0
0
0
0
50
117
id
0
0
84
IbO
75
0
0
171
0
0
57
0
49
19
38
43
36
104
82
137
O
0


BK-S


0
0
0
0
104
0
0
176
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K


3d
214
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173
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                                 4/92.8  966.d  »77.6  bdy.y 301.7   1245.7   43.3  210.O
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                       UbVIATION
                                                                               30.y   104.4    2y.4   182.5

-------
*****
FILTbrt
if
J0006
J0027
J004I
J004b
JOObl
J00b2
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PAUflCULATb DATA (HAKf - 1
-
92
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212
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209

-------
hO
                                            N  I  A U A K A  F H O N T I b K

                                Sift   H  6    COAHSb  HAHTlCULATb  DATA
                                                                        STUDY

                                                                             (HAHT - I  )
*****
FILTbH
50098
50102
5O1O6
00409
001 13
501 1 7
OO12I
.bOI26
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5OI3b
oOI4b
bOlb3
50104
501 by
b016y
bO.I 7b
bOlbl
b O.I 80
bOI92
ooiyb
00204
b02IO
50210
00222
o0227
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b024o
00201
b02b/
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101
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109
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120
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124
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126
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12
12
12
12
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2
2
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27
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2
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12
44
20
22
20
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4
7
10
14
16
20
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26
2b
TlMb
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24.1
23. b
23. b
24.0
23.8
23.8
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24.0
24.0
24.0
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24.0
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23.8
23. y
20. 1
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16.6
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23.9
23.9
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23.8
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23.8
FLOW
M**3
b».7
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322
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330
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43
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171
61
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243
232
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241
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2
2
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2
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2
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2
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Fb MN
NANOCiRAMS/M**3
b8
72
2b7
73
176
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518
104
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44
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94
18
2
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188
23
301
152
2/5
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b
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63
80
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164
219
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0
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0
0
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0
0
0
0
0
0
0
0
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0
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2
2
5
2
2
2
2
2
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2
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2
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2
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2
2
2
2
b
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2
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160
183 .
388
152
217
38
718
213
231
101
192
121
123
109
126
182
206
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420
210
196
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149
612
34
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404
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1003
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213
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168
126
192
125
247
31
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135
172
106
258
358
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352
118
84
287
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287
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546
6/5
192
433
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379
272
104
193
221
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112
173
S  T  A  f  i
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                                              9.4   42.b   b5.l     2.y    3.1   2b4.0    5.y     .5
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                                UhtflAfiUiJ
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                                                                                                           2.1  3OI.4  226.8

-------
            W I A G A K A  r H 0 H T I t H  STUDY



S I T t  if  6   COAHSb  HArtTlCULATb  DATA        (PAHT - 2  )
*****
FILTtK
IF
3O006
30027
30041
J0048
300bl
30052
3000J
30070
3007y
O 3008O
£ 300y2
30103
30108
301 1 1
3ony
30123
30200
30212
J02I6
bOOOD
b0012
bOOIs
b002l
D0027
50039
50051
bOOb7
bOOo3
boooy
S0075
booai
bOO82
H
0
N
41
49
bl
D3
b4
bb
bo
bd
00
04
OD
O/
02
00
01
80
72
od
8
0
2y
ba
54
75
80
29
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
39
0
40
0
40
OO
59
24
38
0
0
0
mi)
3
0
1059
523
192
II 08
91 1
.IOU5
1202
557
138
I2d3
831
1022
19 1
6/4
141
104
61
181
80
463
1 /8
2/9
199
300
220
39
820
24/9
118
780
133
18
b6
132
CL
286
40
0
0
75
0
39
1 14
146
110
100
101
2y
218
80
60
0
20
20
40
20
0
0
59
20
120
0
80
2/2
|3B
/3
19
0
0
151
SO NO
4 2
NANOURAMS/M**3
764
1518
7b6
604
980
696
1241
744
3dl
332
b34
3001
2249
382
1025
161
144
20
221
202
2 195
J36
259
259
420
440
256
580
1209
336
4d/
133
261
301
341
764
574
232
2/4
0
0
0
0
264
0
0
O
1 16
0
0
0
0
82
0
0
0
0
0
0
0
0
0
0
0
0
0
5/
0
0
0
NA
669
0
58
82
150
80
147
143
176
83
106
101
58
109
53
40
41
41
40
20
120
98
59
19
20
80
0
20
60
19
24
38
149
169
416
4
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
J
0
0
0
0
0
0
0
0
0
0
0
Nri
4
0
553
87
21
0
26
118
0
29
0
0
790
496
0
26
0
0
0
0
0
0
39
59
0
0
0
0
0
0
0
24
3d
0
0
0
dH-S
0
0
0
0
0
0
0
0
0
0
0
0
0
82
0
0
20
20
20
20
0
0
0
0
0
0
0
0
0
158
0
0
0
0
0
K.
286
90
58
54
37
26
59
57
58
55
53
40
87
136
53
40
0
0
20
0
0
0
0
0
0
20
0
0
0
0
0
0
0
0
0

-------
                 *****
                     N I A U A H A  H H 0 N  f  I  h  H   S  T U  U Y

         S 1 T b  #  O   COAKSb  CAitflCULATb   UATA        (HAHT - I )
                                                                                              *****
FILTbH
f
5009d
bO 102
bOI06
boioy
bOI 13
30 1 1 7
30121
30126
bO12d
30138
bOI4d
bOlb3
bOlb4
30.1 by
bOI6V
301/3
bOldl
DO 106
3OI92
30l9d
b0204
30210
3O2 16
b0222
30227
30233
30239
3O243
30231
302b7
3O263
50269
b02/b
H
U
N
96
93
97
90
99
101
102
103
104
IO/
lOd
109
IO
12
13
14
Ib
16
17
Id
19
120
121
122
123
124
I2b
126
127
120
129
130
131
M
O
N
12
II
12
.12
12
12
12
12
12






2
2
2
2
2
2
2
2
2
3
3
3
3
3
3
3
3
3
0
A
Y
4
JO
o
10
12
16
19
22
20
II
Ib
17
21
21
30
2
6
d
12
14
20
22
26
28
4
/
10
14
16
20
22
26
20
TIMb
HHS
24.1
23. d
23. d
24.0
23. d
23. d
23. d
23. d
24.0
24.0
24.0
24.0
24.0
23. d
23. d
23.9
20.1
23.9
21.2
23. d
16.6
23.2
23.9
21.1
23. d
23.9
23.9
23.9
23.9
.23.b
23.8
23. 9
23.8
FLOrt
M**3
31.7
b3.6
bl 17
bO.8
b4.2
b3.b
b2.4
b3.2
34. b
b3.2
b2.b
32.6
32.9
b3.O
b3.7
D4.0
44.8
b3.0
46. d
b2.6
36.7
bl.b
32.6
4b.6
bl.O
bl.d
bO .3
bl.b
bl.b
49.4
bO.I
bO.6
bl .0
rtli
OIK
ubo
43
do
7b
103 ..
37
2oy
307
22V
322
190
243
244
336
23 /
211
2b4
241
2bl
43
od
220
247
43
22O
I/I
61
233
243
. 232
247
2d
2b3
1 //
ID
SHU
MHri
1 /
9
6
12
9
10
3
12
4
1
14
6
4
o
9
10
3
13
3
4
6
6
II
4
13
4
13
Ib
12
1
2
13
7
bl
load
1283
2641
2167
2136
194
6/87
2203
J449
34 /
2219
1678
196
I9b
193
1082
1161
* 19b
1 /36
639
1882
dbb
991
4018
201
bOOl
1490
1178
3278
7007
9089
2698
2/40
AL
438
643
447
201
803
191
b49
bOO
188
326
193
194
193
193
190
bOD
228
433
807
194
2/9
199
194
b46
198
319
421
33!
686
1208
1206
b!4
43 /
F
0
0
0
.19
36
Id
19
0
O
0
yb
0
o
o
0
0
o
0
1O6
0
dl
0
b6
0
0
0
o
0
bd
0
0
by
0
NO
3
iy
bb
306
0
2bd
37
8b8
202
3b
94
361
228
Yb
37
Id
37
446
94
213
28b
1007
Ibb
36
613
19
40b
/9
38
b44
44 b
b99
O
98
CL
0
0
0
0
0
0
24 d
0
Id
0
9b
0
37
bO
0
0
2o 7
b6
.234
37
O
0
0
Ib3
0
19
0
0
136
dO
139
0
117
SO NO
4 2
NANOUKAMS/M**3
231
290
3O9
7d
461
id
43d
33d
2/b
112
323
532
302
432
204
314
537
339
40b
323
I22b
1127
433
633
309
b9d
636
300
272
304
3b9
632
313
0
0
O
0
0
0
0
0
0
0
0
0
O
O
O
O
0
0
0
0
0
0
0
o
0
0
0
0
o
0
o
o
0
NA
232
V3
96
137
92
74
20V
112
2V3
22b
361
266
109
IbO
0
bb
22
433
149
19
0
136
0
IV7
0
lib
39
bd
97
80
279
0
7d
4
0
0
0
0
0
O
0
0
103
O
0
0
O
0
O
0
0
0
0
0
0
0
0
0
0
0
0
0
174
O
0
0
0
Hri
4
0
0
3d
39
36
0
0
0
0
75
3d
0
0
75
74
0
0
0
.1089
O
0
Ibb
0
ob
19
lib
0
3d
3d
40
b9
79
0
8H-S
0
0
0
0
0
0
0
0
36
0
0
0
0
O
0
0
0
0
0
0
0
19
0
0
0
0
0
0
Ibb
0
0
0
0
K
0
37
0
0
0
0
0
0
0
0
0
0
0
56
III
0
0
0
0
0
o
77
0
d7
19
0
0
58
3d
0
. 0
0
0
                                  AVbHAUb  33by.2  661.D   17.2  3/*>.2  61.6   bbl.O   34.7  114.3
                                                                                    b.2   6b.l
3  f
r  i  c  s
7.a   25.2
                                  SfANUAHU 2728.1
                                 Ub VI ATI 014
                                bbd.b   2d.l  437.2   77.d   b2I.V   123.4   I Id.I    30.4   I8O./   2d.6   45.6

-------
                                 APPENDIX D






     The  following  tabulated  information represents  the  entire Whatman-41




hi-vol data  base which was  produced within the project.   Revelant  data  is




presented here regarding the  date,  particulate mass,  air volume  sampled (flow),




and SP concentration.
                                     D-l

-------
ITE
NO.
1
2
3
4
5
2
1
3
6
5
4
6
6
5
3
2
1
4
6
3
1
2
3
5
4
6

FILTER
NO .
10001
10002
10003
10004
10005
10009
10010
10011
10012
10013
10014
10006
10015
10016
10017
10018
10019
10020
10021
10022
10109
10110
10111
10112
10113
10114

DflTE
•JJ —
3-
.-,
•Zf —
•3-
3-
3-
•"!_
o —
o~
•"[ 	
o
3-
3-
3-
o
3-
3-
3-
3-
*V
•_<
J. —
4-
14-
14-
14-
14-
14-
16-
X f"' ~™
1 C1 ~"
16-
16-
16-
14-
21-
21-
21-
21-
21-
21-
Ll •-'
'"' '"j —
29-
29-
4-29-
4-
4-
4-

29 —
29-
29-

78
78
78
73
f' O
•70
i O
I1' l~l
78
78
78
~? i"i
1 >.'
78
-n ,-.
r o
-ji-i
r u
78
73
i'1 y
~7 |-(
r C"
78
78
73
78
78
78
78
73

1
1
1
1
1
2
2
1

2
1
1
1
2
1
1
2
2
1
1
2
3
•-'
3
TSP

62.
52.
35.
89.
37.
16.
16.
84.
95.
12.
65.
25.
22.
25.
95.
8 3 .
30 .
50.
04.
96.
55.
19.
05.
60.
403.
2
D2
1 8 .

6
jit
6
4
d
9
4
1
0
5
5
1
6
5
8
9
I-!
9
0
3
4
1
C'
3
4
0

FLOW

-------
;ITE
NO.
2
1
4
5
6
3
5
4
2
5
3
1
2
2
5
4
1
3
2
5
4
1
2
3
5
4
1
FILTER
NO.
10023
10024
10027
10028
10029
10030
10031
10033
10034
10036
10037
10038
10039
10040
10041
10042
10043
10044
10045
10046
10048
10049
10050
10051
10052
10053
10064
HfiTE
3-23-78-
3-23-73
3-23-78
3-23-78
3-28-78
3-30-78
3-23-78
3-30-78
3-28-78
3-30-78
4 -1-7S
3-30-78
3-30-78
4 -1-78
4 -1-78
4 -1-78
4 -4-78
4 -4-78
4 -4-73
4 -4-78
4 -4-78
4 -6-78
4 -6-78
4 -6-78
4 -6-78
4 -6-78
4 -1-78
TSP
CMC)
179. 1
297.6
271.5
279.5
130.3
226.0
370.0
349. 1
190.1
389.5
172. 1
222.4
196.2
218.6
249.1
242.5
283.1
231.8
243.0
276.5
304.1
233. 1
165. 7
156. 6
125.2
100.3
224.9
FLOW
CMS)
2284.0
2458.5
2559.1
2370.9
2448.3
2414.7
2343.2
2404.9
2396.5
2161.7
2212.2
2251.0
2255. 1
2005.5
2262.4
2174.4
2161.2
2012.6
1808.4
2162.9
2016.8
2189.7
2111.3
1853.2
2474.4
611.6
2338.7
CONC.
(UG/M3)
78
121
106
118
53
94
158
145
79
180
78
99
87
199
110
112
131
115
134
128
151
106
78
84
51
164
96
D3

-------
ITE
NO.
6
6
4
6
5
iL.
o
1
6
cr
2
•-,
1
4
'*'
li'
3
.^i
5
5
6
6
4
4
1
1
FI
LTER
NO.
10035
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
0047
0054
0055
0056
0057
0053
0059
0060
0061
0062
0063
0065
0066
0067
006S
0069
0070
0071
0072
0073
0074
0075
0076
0077
0078
DflTE.
4
4
4
4
4
4
4
4
4-
4-
4-
4-
4-
4-
4-
4-
4-
4-
4-
4.-
4-
4-
4-
4-
4-
4-
-6-
-4-
,-i
'..> —
— y —
— o —
—'I' —
	 o __
-8-
11-
11-
11-
11-
11-
11-
13-
15-
13-
15-
13-
15-
13-
15-
13-
15-
13-
15-
78
78
78
78
78
78
73
78
78
78
f'-Q
73
78
78
78
7b'
78
78
78
7'8
78
78
78
78
78
78
TSP
(MG)
90.
198.
200.
97.
310.
237.
173.
145.
130.
279.
226 .
291.
265.
352.
248.
183.
307.
185.
380.
300.
150.
76.
314.
'': 9 ti .
221.
169.
6
6
3
9
1
4
4
0
•-i
6
5
2
f
9
6
1
6
™i
(
si1
8
r'
o
6
Q
0
g
FLOW
ai3>
2434.
2374.
2083.
2463.
2241.
2110.
2181.
2425.
2514.
2162.
2108.
2112.
1958.
2024.
2109.
2072.
2011.
2183.
2217.
2087.
2356.
1753.
1920.
1986.
O •"' ~? '"'
i— u_ I' O .
2389.
1
8
5
1
6
0
7
9
•~i
£
o
"I"
9
1
8
6
5
5
t'
1
J
y
•2'
9
4
9
^i
CONC.
(UG/M3)




1
1



1
1
1
1
1
1

1

1
1

1
1

37
84
96
40
38
13
79
60
52
29
07
o o
36
74
18
91
53
85
^•~i
r iL.
44
64
44
64
97
97
71
D4

-------
ITE
NO.
1
2
3
5
4
6
4
6
5
3
2
1
4
1
6
2
3
2
1
2
3
6
5
4
1
2
FILTER
NO.
10979
10080
10081
10082
10083
10084
10085
10086
10087
10088
* 10089
10090
10091
10092
10093
10094
10095
10096
10097
10098
10099
10100
10101
10102
10103
10104
DfiTE
4-18-78
4-18-78
4-18-78
4-18-78
4-18-78
4-18-78
4-20-78
4-20-78
4-20-78
4-29-78
4-28-78
4-20-78
4-22-78
4-22-78
4-22-78
4-22-78
4-22-78
4-22-78
4-25-78
4-25-78
4-25-78
4-25-78
4-25-78
4-25-78
4-27-78
4-27-78
TSP
CMC)
298.4
190. 1
172.9
181.9
238.7
137.4
182.5
87.9
189.4
109.5
126.8
106.0
333.9
167.6
121.5
409.0
176.5
187.6
258.2
232.4
186.9
185.7
189.6
286.7
258.6
249.2
FLOW

2160.3
2108.8
2145.8
2374.9
2051.4
2353.0
2302.5
2604.9
2399.2
2314. 1
2072.0
2483.9
1987. 1
2273.3
2518.6
2050.7
2079.1
1863.0
2133.7
2075.1
2150.2
2137.5
2295.2
2177. 1
1930.2
1936.3
COHC.
(UG/M3)
138
90
81
77
116
58
79
34
79
47
61
43
168
74
48
199
85
101
121
112
87
87
83
95
134
129
D5

-------
SITE
HO.
1
2
3
5
4
4
3
2
1
4
5
1
2
3
6
3
2
1
6
5
4
3
2
1
6
5

FILTER
HO.
18115
10116
10117
10119
10120
10121
10122
10123
10124
10125
10126
10127
18128
10129
10139
10131
10132
10133
10134
10135
10136
10137
10138
10139
10140
10141

DflTE
5 -6-78
5 -6-78
5 -6-78
5 -6-78
5 -6-78
5 -9-78
5 -9-78
5 -9-78
5 -9-78
5 -4-78
5 -4-78
5 -4-78
5 -4-78
5 -4-78
5 -4-78
5-13-78
5-13-78
5-13-78
5-11-78
5-11-78
5-11-78
5-11-78
5-11-78
5-11-73
5 -9-78
5 -9-78

TSP
(MG>
343.2
205.9
261.6
604. 1
467.8
352.4
217.8
224.5
255. 1
196.3
239.4
319.3
219.7
171.9
230.4
155.0
144.2
172.1
105.7
188.9
234.7
226.9
235.9
236.7
65.2
202.3
D6
FLOW

2553.4
2379.9
2179.7
2429.0
2118.8
1998.1
2090.5
2157. 1
2137.0
2092.0
3539.0
2252. 1
2155.4
2032.6
2194.8
2295.0
2338. 1
2485.8
2359.S
2342.8
1972.7
2044.6
2066.0
2199.0
2372. 1
2316.5

CONC.

134
87
120
249
221
176
104
104
119
94
68
142
98
85
105
68
62
69
45
81
119
111
114
108
27
87


-------
;ITE
NO.
4
6
i
2
5
1
2
3
5
6
4
1.
2
3
5
6
4
1
2
3
6
5
1
2
3
€
FILTER
NO.
10146
18147
18148
19149
10150
10151
10152
10153
10154
10155
10156
10157
10158
10159
10160
10161
10162
10163
10164
10165
10166
10167
10169
10170
10171
10172
BfiTE
5-13-78
5-13-78
5-16-78
5-16-78
5-16-78
5-18-78
5-18-78
5-18-78
5-18-78
5-18-78
5-18-7-8
5-28-78
5-20-78
5-20-78
5-20-78
5-20-78
5-20-78
5-23-78
5-23-78
5-23-78
5-23-78
5-23-78
5-25-78
5-25-78
5-25-78
5-25-78
TSP
(MG)
152.6
113.6
147.8
152.9
136.6
450.2
275.6
312.6
653.2
116.4
407. 1
268.4
262.9
268.8
423.0
177.8
483.5
219.3
212.1
167.6
155.8 •
290.7
411.5
3 19.2
363.5
210.4
FLOW

-------
ITE
NO.
3
6
5
4
1
O
u.
•~j
6
5
4
1
'~'
5
4
2
6
5
3
1
6
1
•-i
•-'
5
1
'd
FILTER
HO .
191
101
101
101
101
101
101
101
101
101
101
101
101
101
101
101
101
101
101
101
101
102
102
102
102
l'' f
-Jl-l
f >J
79
30
82
l-l '"I
Q'i
34
35
86
87
y y
89
90
91
92
93
94
96
97
98
99
00
01
14
15
5
DflTE
-30-
5-30-
5
5
6
6
6
6
6
6
6
b
6
b
6
b
6
6
6
-30-
-30-
-1-
-1-
-1-
-1-
— 1 —
-1-
-b-
.-i
u
"~* b —
-6-
-10-
— £, _
— y —
-8-
-8-
6-10-
6
6
6
6
6
-10-
-10-
-10-
-21-
-21-
73
78
78
"7O
i '-<
73
78
78
78
78
78
78
78
78
78
78
78
7y
73
73
78
78
T"n
i '_'
78
78
78
TSP
(MG)
.-, .-, .-,
fcl O •-' •
214.
393.
315.
193.
220.
190.
137.
316.
273.
179.
184.
276.
453.
217.
82.
321.
259.
189.
70.
112.
114.
157.
166.
144.
9
6
"7
f
5
6
6
9
5
1
6
5
5
4
9
7
y
6
9
7
3
kZ.
4
o
9
4
FLOW

2121.
2323.
2152.
1399.
2220.
2003.
2063.
2361.
2206.
1386.
2285.
2256.
o o o o
L_ ,_ i_l '-' .
4033.
1842.
2157.
2219.
2122.
2389.
2071.
2131.
•~\ '-I |-j Ti
ii o y o .
o o o •-•
u. •_' i_ L. .
2261.
2179.
Q
4
6
y
6
0
1
6
9
6
6
•I*
4
•-,
f
2
i'*
1
1
0
6
6
•J
0
2
COHC.
(UG/M3)
1

10
92
183
1

1


1
1


1
1
1

1
1







66
89
10
93
58
43
45
79
82
21
14
18
38
45
'~'^'
79
34
53
50
63
74
66
D8

-------
ITE
NO.
6
6
6
3
3
2
2
4
5
3
2
1 '
3
e
5
4
5
6
3
2
1
5
6
3
2
1
FILTER
NO.
10292
10203
10204
10205
10206
10207
10208
10209
10210
10211
10212
10213
10216
10217
10218
10219
10220
10221
10222
10223
10224
10225
10226
10227
10228
10229
DflTE
6-25-78
6-27-78
6-29-78
6-27-78
6-29-78
6-27-78
6-29-78
6-25-78
6-25-78
6-25-78
6-25-78
6-25-78
6-21-78
6-21-78
6-21-78
6-21-78
6-19-78
6-19-78
6-19-78
6"- 19-78
6-19-78
6-15-78
6-15-78
6-15-78
6-15-78'
6-15-78
TSP

2150.6
2307.7
2304.0
2062.8
2107.3
2193.2
2267.4
2125.4
2166.7
2183.4
2114.7
2148.4
2179.7
2294.0
2178.9
2089.0
2180.8
2112.2
2046.3
2140.4
2299.9
2234.3
2024.4
2012.8
1974.4
2172.6
CONC.
(UG/M3)
76
74
68
154
138
162
127
124
115
87
92
97
85
47
133
121
98
36
74
69
57
68
17
56
62
44
D9

-------
ITE
NO.
3
6
2
1
1
1
5
5
5
4
4
4
1
2
3
6
5
4
1
2
3
6
5
4
1
2

FILTER
NO.
10235
10236
10237
10238
10239
10240
10241
10242
10243
10244
10245
10246
.10247
10248
10249
10250
10251
10252
10253
10254
10255
10256
10257
10259
10260
10261

DflTE
7 -1-78
7 -1-78
7 -1-78
6-27-78
6-29-78
7 -1-78
6-27-78
6-29-78
7 -1-78
6-27-78
6-29-7-8
7 -1-78
7 -7-78
7 -7-78
7 -7-78
7 -7-78
7 -7-78
7 -7-78
7-11-78
F-ll-78
7-11-78
7-11-78
7-11-78
7-13-78
7-13-78
7-13-78

TSP

115.6
112.6
119.5
302.8
272.5
130.7
453.2
399.9
140.3
505.1
389.1
161.4
262.4
338.9
264.0
212.3
369.1
344.1
176.9
207.3
184.3
130.8
245.7
333.9
265.8
202.6
D10
FLOW
2212.9
2241.5
2204. 1
2123.3
2231.5
2260.6
2081.4
2166.7
2262.3
2131.4
2029.7
2212.5
2197.8
2166.2
2222.6
2278.6
2163.7
2098.7
2332.7
2113.0
2138.1
2339 . 3
2402.5
2115.6
2193.5
2217.3

CONC

-------
ITE
NO.
2
3
5
6
4
6
5
2
4
3
1
3-
6
2
4
1
5
4
5
6
3
2
1
4
5
1

FILTER
NO.
10266
1Q267
10268
10269
10270
10271
10272
10273
10274
10275
10276
10277
10278
10279
10280
10281
10282
10283
10284
10285
10286
10287
10288
10289
10290
10294

DflTE
7-15-78
7-15-78
7-15-78
7-15-78
7-15-78
7-19-78
7-19-78
7-19-78
7-19-78
7-19-78
7-19-78
7-25-78
7-21-78
7-21-78
7-21-78
7-21-78
7-21-78
7 -4-78
7 -4-78
? -4-78
7 -4-78
7 -4-78
7 -4-78
6 -3-78
6 -3-78
6 -3-78

TSP
(MG>
249.9
236.2
314.5
187.3
344.6
196.6
297.4
241.2
335.8
230.8
247.2
181.9
296.3
369.7
409.8
323.3
362.4
96.4
88.6
81.3
124.7
113.4
115.8
150.7
203.8
150.5
Dll
FLOW

2086.1
2091.2
2093.7
2513.9
2113.6
2058.9
1990.5
2112.7
1965.7
2029.8
1947.9
2137.5
2261.9
2165.8
2085.9
2106.6
2122.0
2460.2
2521.3
2390. 1
2108.9
2339.3
2539.9
2013.3
2296.4
2357.3

CONC.
(UG/M3>
120
113
150
74
163
95
149
114
171
114
127
85
91
171
196
153
171
39
35
34
59
48
46
75
89
64


-------
;ITE
NO.
6
4
5
3
1
6
6
1
5
6
5
4
3
5
1
6
1
3
1
3
4
5
6
1
3
4
FILTER
NO.
18309
19302
10303
10304
10305
1030
1030
1030
1031
1031
1031
1031
1031
1031
1031
1031
1032
1032
1032
1032
1932
1032
1032
1032
1032
1032
£1
T1
r
o
0
2
•-!
4
5
ti
7
g
0
1
O
3
4
5
b
r
y
q
r "~
-?
t
r ~~
•^
i'
^<
i
r ~~
r' ~
r "~
r' ~
y
o
3
ft
o
G
8
o
3
1-1
o
8
S"
8-
,-,
i~t
'_>
o
p _
8-
DflTE
25-78
27-78
27-73
31-78
£ i1' —
27-
31-
31-
31-
-2-
-2-
-2-
— . O -.
-6-
~" u. ~"
— 6~
-6-
-6-
-8-
-8-
10-
-Fl-
i-i
o~
10-
10-
12-
31
78
"7 i"i
r o
78
78
78
\ d
r' o
78
78
78
i'' O
78
78
78
78
78
78
78
78
78
r' o
TSP
(MG>
119. 8
207.2
23 1.7
110.6
139.
96.
73.
130.
154.
169.
224.
235.
204.
2 1 3 .
239.
157.
165.
171.
290.
3 1 3 .
1 8 1 .
313.
156.
156.
146.
258.
2
4
9
4
4
•-'
1
4
O
4
(''
C.
•-)
5
y
8
•-I
4
1
6
4
0
FLOW

2057.0
1706.7
2137.4
2270. 1
2224.
2187.
2262.
2290.
2337.
2316.
2233.
2072.
2471.'
2414.
2388.
2436.
2414.
2459.
O '"' ] '"'
2324.
2292.
2313.
2505.
2293.
2267.
2372.
5
g
-n
l'
6
2
p
Q
6
y
0
1
£
9
5
8
y
6
•-I
0
0
i'
5
COHC.
(UG/N3)
53
121
132
49






1
1


1



1
1

1



1
85
44
33
57
66
73
00
14
83'
90
00
64
68
70
26
35
79
38
62
68
65
09
D12

-------
ITE
NO.
1.
5
6
3
4
5
6
3
1
4
5
6.
2
4
3
1
2
5
6
2
1
4
5
3
6
5
FILTER
HO.
10334
10335
19336
10337
10338
10339
10340
10341
10342
10343
10344
10345
10346
10347
10348
10349
10350
10351
10352
10353
10354
10355
10356
10357
10358
10359
DflTE
8-15-78
3-12-78
8-12-78
8-15-78
8-15-78
8-15-78
8-15-78
8-18-78
8-18-78
8-18-78
8-18-7-8
8-18-78
8-18-78
8-22-78
8-22-78
8~ _ •"' •'< _ "7 O
i_i- i O
8-22-78
8-22-78
8-22-78
8-24-78
8-24-78
8-24-78
8-24-78
8-24-78
8-24-78
8-26-78
TSP
CMC)
211.3
276.6
120.7
198.9
187.8
233.5
145.9
136.5
180.2
184.5
190.6
97. 1
161.8
214.2
153.0
172.9
163.7
215.1
128.3
400.6
320.6
447.4
310.0
307.8
162.8
95.9
FLOW

2226.3
2351.5
2451.5
2228.5
1412.5
4382.3
2447.2
2394.9
2344.5
2304.7
2304.9
2458.5
2325.2
2256.9
2432.2
2377.3
2362.5
2351.5
2417.7
2385.3
2367.7
2227.8
2427.9
2241. 1
1464.3
2501.0
COHC.
(UG/M3)
95
118
49
89
133
53
60
57
77
80
83
39
70
95
63
73
₯69
91
53
168
135
201
128
137
111
38
D13

-------
ITE
NO.
6
1
2
3
4
5
6
1
2
4
5
6
3
5
1
2
4
6
5
4
3
2
1
FILTER
NO.
18364
18365
18366
18367
18368
18369
18378
18371
18372
18374
18375
18376
18389
18391
18392
18393
18394
18395
18396
18397
10398
10399
10408
DRTE

,-, .-, .- -^ ,-,
C* ~ £ t1 ~" i' O
3-38-78
8-30-78
8-38-78
8-38-78
8-30-78
8-38-78
9 -1-78
9 -1-78
9 -1-78
9 -1-73
9 -1-78
9-17-78
9-17-78
9-17-78
9-17-78
9-17-78
9-19-78
9-19-78
9-19-78
9-19-78
9-19-78
9-19-73
TSP

58.8
73. 1
87.8
53.5
86. 4
87.2
2.8
187.2
93. 1
1 O !*' 0 O
146.0
42.4
10.5
56.3
17.2
46. 8
33. 8
75.8
54.6
34.2
26. 8
89.4
63.8
FLOW

-------
ITE
HO.
1
1
2
2
3
4
4
5
5
6
1 .
1
2
2
3
3
4
4
5
5
6
6
1
2
FILTER
HO.
10401
10402
10403
10404
10405
10407
10408
10409
10410
10411
10413
10414
10415
10416
10417
10418
10419
10420
10421
10422
10423
10424
10425
10426
DflTE
9-21-78
9-23-78
9-21-78
9-23-78
9-21-78
9-21-78
9-23-78
9-21-78
9-23-78
9-21-78
9-26-78
9-29-78
9-26-78
9-29-78
9-26-78
9-29-78
9-26-78
9-29-78
9.-26-7S
9-29-78
9-26-78
9-29-78
10 -3-78
10 -3-78
TSP
(MG)
204.5
0.9
194. 1
13.1
177.0
313.2
6. 9
245.0
6. 1
91.6
52.6
61.4
123.9
126. 1
87.0
110.0
122.8
139.3
120.7
112.0
59.5
94.4
154.3
140.0
FLOW
CM3>
2307.9
2400.6
2397.0
2535.1
2343.0
2100.8
2307.6
2383.4
2565. 1
2510.6
2179.3
2227.9
2313.4
2226.8
2200.1
2301.7
2036.9
2048.4
2322.9
2493.7
2367.1
2390. 1
2212.5
2314.6
CONC.
(UG/M3)
89
0
81
5
76
151
3
103
2
36
24
28
54
57
40
48
60
68
52
45
25
39
70
60
D15

-------
;ITE FILTER
NO.
2
2
3
3
3
4
4
c-
•J
5
5
6
6
6
2
3
6
5
4
2
3
6
5
4
2
O
5
NO.
10455
10456
10453
10459
10460
10461
10462
10463
10464
10465
10466
10467
10463
10470
10471
10472
10473
10474
10476
10477
10473
10479
10480
10482
10433
10435
IiflTE

12-12-73
12-14-73
12-12-78
12-14-78
12-16-78
12-14-73
12-16-78
12-12-73
12-14-73
12-16-78
12-12-78
12-14-78
12-16-78
12-19-73
12-19-78
12-19-78
12-19-78
12-19-78
12-22-78
12-22-78
12-22-78
12-22-73
12-22-78
12-23-78
12-23-78
12-23-78
T3P

-------
ITE
NO.
5
4
3
2
1
6
3
4
5
6
2
1
3
4
5
6
6
1
2
4
3
5
1
2
3
5

FILTER
HO.
19489
10498
10491
16492
10493
10494
10495
10496
10497
10498
10499
10500
10427
10428
10429
10430
10431
10432
10433
10434
10435
10436
10437
10438
10439
10440

DRTE
10-17-78
10-17-78
10-17-78
10-17-78
10-17-78
10-17-78
9-11-78
9-11-78
9-11-78
9-11-78
9-11-78
9-11-78
10 -3-78
10 -3-78
10 -3-78
10 -3-78
10 -5-78
10 -5-78
10 -5-78
1& -5-78
10 -5-78
10 -5-78
10 -7-78
10 -7-78
10 -7-78
10 -7-78

TSP
(MG)
82.8
117. 1
118.7
118.1
121.7
55. 1
342.7
438.6
271.0
203.9
134.6
332.0
125. 1
146.2
133.5
107.2
82.9
153.9
138.1
145.5
118.4
727.2
61.0
137.0
67. 1
131.0
D17
FLOW

-------
ITE
NO.
3
5
4
6
1
2
3
5
6
•.I1
4
5
6
1
2
-.,
6
5
4
1
1
4
£
6
3
5

FI
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
LTER
NO .
0445
0446
0447
0448
0449
0450
0451
0452
0453
0501
0502
0503
0 5 0 4
0601
0602
0603
0604
0605
10606
1
1
1
1
1
1
1

0607
0603
0609
0610
0611
0612
0613

DflTE
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1

0-1
0-1
0-1
0-1
0-1
0-1
0-1
0-1
0-1
1 -
1 -
1 -
1 -
0-1
0-1
0-1
0-1
0-1
0-1
a- 2
0-2
0-2
0-2
0-2
0-2
0-2

1
1
3
1
•-'
o1
j
•i
3
r
-?
i1
-7
('
r
Q
Q
9
9
Q
Q
cr1
•tj
3
'~j
!j
•-'
•I'

r o
-78
-78
— 7y
-78
-78
-78
-78
-78
n,-,
— t o
-78
-78
"~ i' Cp
-78
-78
-78
— \ o
-78
~~ r o
-7y
-78
-78
— (' d
-78
-73
-78

TSP
(MG)
145.
139.
124.
79.
117.
146.
US.
116.
69.
114.
123.
1 1 3 .
73.
186.
229.
139.
123.
253.
206.
266.
119.
198.
159.
30.
1'24.
190.
D18
2
9
7
1
4
5
5
r'
o
3
4
0
0
9
'i-
1
9
9
3
5
6
3
9
1
9
0

FLOW
(M3)
2169.
1975.
2087.
2123.
1958.
2173.
2270.
2183.
2396.
2284.
2100.
2191.
2421.
2393.
2187.
2502.
2575.
2243.
2135.
2412.
2479.
2268.
2406.
2583.
2603.
2283.

6
5
•-i
hi
6
0
7
6
5
3
8
5
C'
1
2
5
6
2
9
9
8
4
1
6
6
2
2

CONC.
(UG/M3)
67
96
60
•J7
60
67
52
53
29
50
59
54
30
f O
105
76
48
113
97
110
48
tt7
66
31
48
83


-------
ITE
NO.
1
2
3
4
5
6
1
3
4
5
6
6
1
2
3
5
4
1
3
6
4
5
€
1
3
6

FILTER
HO.
19585
10596
10507
10508
10509
10518
10511
10513
18514
18515
10516
10517
10518
10519
10520
10521
10522
10524
10525
10527
18528
10529
10538
18531
10532
10533

DflTE
11-18-78
11-10-78
11-18-78
11-10-78
11-10-78
11-10-78
11-14-78
11-14-78
11-14-78
11-14-78
11-14-7-3
11-16-78
11-16-78
11-38-78
11-16-78
11-16-78
11-16-78
11-22-78
11-22-78
11-28-78
11-30-78
11-30-78
11-22-78
11-28-78
11-28-78
11-28-78

TSP
CMG:>
198.4
193.6
155.6
288.7
155.9
137.6
244.0
147.3
254.6
212.6
75.9
85.7
144.9
162.8
107.7
94. 1
102.3
189.9
104.0
60.2
180.8
225.3
139.1
101. 1
95.9
58.6
D19
FLOW

2152.2
2012.3
2167.7
2874.5
2388.3
2111.9
2288.4
2434.3
2172.7
2272.2
2448. 1
2468.2
2311.9
2174.9
2476.6
2388.9
2316.7
2372.4
2302.3
2722.7
2135.6
2327.9
2315.8
2542.7
2409.5
2498.9

CONC.
(UG/M3)
92
96
72
97
65
65
107
60
117
94
31
35
63
75
43
39
44
80
45
22
84
97
60
40
48
24


-------
ITE
HO.
6
2
4
5
1
1
2
2
3
3
4
4
5
5
6
6
1
1
5
3
4
1
2
3
4
5
FILTER
NO .
10539
10540
10541
10542
10543
10544
10545
10546
10547
10548
10549
10550
10551
10552
10553
10554
10555
10556
10557
10553
10559
10560
10561
10562
10563
10564
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1









2
2
i!
•y
2
£
'd
2
2
2
O
2
2
2
w
2
2
1
*
1
1
1
1
1
1
DflTE
-4-78
-4-78
-6-78
-4-78
-6-78
-10-78
-6-78
-10-78
-6-78
-10-78
-10-78
-12-78
-6-78
-10-78
-6-78
-10-78
-12-78
-14-78
-2-79
•- -2-79
-9-79
-9-79
-9-79
-9-79
-11-79
-9-79
TSP

67.5
178.
308.
188.
175.
127.
192.
273.
201.
141.
284.
202.
322.
283.
76.
71.
206.
227.
168.
95.
258.
191.
150.
148.
48.
134.
0
0
6
3
5
3
0
6
6
1
2
4
4
ci
7
7
5
5
5
8
8
6
8
2
2
FLOW

2292.9
2274.
2151.
2484.
2486.
2825.
2174.
2226.
2271.
2633.
2250.
2234.
2361.
2500.
2261.
2562.
2302.
2324.
2696.
2606.
2060.
2349.
2240.
2345.
2321.
2584.
8
6
4
3
4
6
1
0
6
4
6
5
1
3
0
0
8
2
6
O
0
••1
5
7
5
COHC.
(UG/M3)
29
78
143
76
70
45
88
123
89
54
126
90
137
113
34
28
90
98
62
37
126
82
67
63
21
52
D20

-------
ITE
NO.
1
1
2
2
3
3
4
4
4
5
5
5'
6
6
6
1
1
2
2
2
3
3
3
4
4
5

FILTER
HO.
10567
10568
10570
10571
10573
10574
10575
10576
10577
10578
10579
10580
10581
10582
10583
10584
10586
10587
10588
18589
10590
10591
10592
10593
10594
10595

DflTE
1-15-79
1-17-79
1-15-79
1-17-79
1-15-79
1-17-79
1-15-79
1-17-79
1-21-79
1-11-79
1-15-79
1-17-79
1-- 15-79
1-17-79
1-21-79
1-21-79
1-30-79
1-21-79
1-25-79
1-27-79
1-21-79
1-25-79
1-27-79
1-25-79
1-27-79
1-21-79

TSP
CMC)
183. 4
157.7
213.2
174.0
131.2
108.4
1 96 . 6
174.4
132.9
127.4
178.8
210.2
72.1
93.0
71.2
93.6
78.3
98.7
112.2
119.6
103.6
114.4
122.1
157.4
180.3
157.8
D21
FLOW

2586.2
2543.6
2360.7
2419.4
2452.0
2531.5
2098.9
2256.9
2278.6
2259.6
2477.1
2463.2
2473.2
2542.2
2441.0
2714.0
2424.0
2566.1
2510.0
2786.1
2412.3
2302.5
2355.5
2172.9
2350.0
2501.3

COHC.

71
62
92
72
54
43
_94
77
58
56
72
85
29
37
29
34
32
38
45
43
43
50
52
72
77
63


-------
ITE
NO.
6
1
2
3
4
6
4
4
4
1
1
1 •
2
2
2
3
3
3
5
5
5
6
6
6
5
2
FILTER
NO.
10618
10619
18628
10621
10622
18624
10625
10626
10627
10628
10629
18638
18631
18632
18633
18634
18635
10636
10637
10638
18639
18648
18641
18642
18643
18644
DRTE
18-25-78
18-29-78
18-29-78
18-29-78
18-29-78
18-29-78
18-31-78
11 -2-78
11 -4-78
18-31-78
11 -2-78
11 -4-78
18-31-78
11 -2-78
11 -4-78
18-31-78
11 -2-78
11 -4-78
18-29-78
1&-31-78
11 -2-78
18-31-78
11 -2-78
11 -4-78
11 -4-78
11 -7-78
TSP
O1G>
9 1 . 3
104.6
121.1
187.3
189.9
68. 1
244.8
367.3
337.1
289.2
262.6
273.8
228.2
278.8
267.3
188.6
389.4
256.2
99.8
285.2
388.4
123.7
124.8
217.8
284.5
134.6
FLOW
(M3>
2369. 1
2399.1
2225.8
2327.7
2188.3
2419.6
2113.1
2188.5
1869.8
2213.1
2167.3
2181. 1
2841.8
2853.9
2288.8
2225.6
2213.1
1995.9
2285.9
2891.2
2893.4
2293.3
2398.4
2258.2
1945.6
2121.5
CONC.
OJG/MS)
39
44
54
46
58
28
116
175
188
95
121
138
108
136
121
81
140
128
43
136
147
54
52
97
146
63
D22

-------
ilTE
NO.
1
1
2
2
3
3
4
4
5
5
6
6
1
2
3
6
5
4
1
2
3
fa
5
4
1
1

FILTER
NO.
10663
1Q664
10665
10666
10667
10668
10669
10670
10671
10672
10673
10674
10675
10676
10677
10678
10679
10680
10681
10682
10683
10684
10685
10686
10687
13688

DflTE
3 -7-79
3-10-79
3 -7-79
3-10-79
3 -7-79
3-10-79
3 -7-79
3-16-79
3 -7-79
3-10-79
3 -7-79
3-10-79
3-14-79
3-14-79
3-14-79
3-14-79
3-14-79
3-14-79
3-16-79
5-16-79
3-16-79
3-16-79
3-16-79
3-16-79
3-20-79
3-22-79

TSP

222.9
128.3
239.8
175.8
183.3
173.2
187.0
294.5
151.0
261.8
137.2
83.8
145. 1
168.9
147.3
76.9
194.8
205.0
194.7
164.9
226.6
118.4
265.4
324.1
383.3
19,4.4
D23
FLOW

1885.3
1625.9
223S.-5
2359.4
2356.3
2464.9
2254.4
2255.9
2322.4
2147.8
2283.1
2419.4
2111.0
2577.2
2570.5
2438.3
2307.4
2220.5
2277.1
2468.0
2371.6
2379.5
2179.0
2195.7
1972.1
1971.9

COHC.

118
79
107
74
78
70
83
131
65
122
60
35
69
66
57
32
84
92
85
67
96
50
122
148
154
99


-------
ITE
NO.
4
5
5
6
6
1
1
2
2
3
3
4-
4
5
5
6
6
2
3
5
4
1
2
3
6
5

FILTER
NO.
10646
10647
10648
10649
10650
10651
10652
10653
10654
10655
10656
10657
10658
10659
10660
10661
10662
10701
10702
10703
10704
10705
10706
10707
10768
10709

DfiTE
2-26-79
2-22-79
2-26-79
2-22-79
2-26-79
2-28-79
3 -4-79
2-23-79
3 -4-79
2-28-79
3 -4-79
2-23-79
3 -4-79
2-28-79
3 -4-79
2-28-79
3 -4-79
1-30-79
1-30-79
lv 3 0-79
1-30-79
2 -2-79
2 -2-79
2 -2-79
2 -2-79
2 -2-79

TSP
aio
93.2
255.1
85.8
145.7
81.8
249.6
109.3
211.5
104.5
201.6
94.9
269.4
125.8
223.6
105.2
133.3
74.0
142.3
98.8
270.7
133.4
131.4
140.5
71.9
45.0
204.5
D24
FLOW

2412. 1
2260.9
2629.0
2270.9
2326.7
1995.9
2472.6
2081.7
2587.3
1949.2
2529.8
2029.4
2493. 1
2022.2
2579.7
2182.5
2479.9
2430.7
2242.7
2389.3
2019.1
2261.8
2521.4
2231.0
2803.2
2412.0

CONC.
(UG/M3)
39
113
33
64
35
125
44
102
40
103
37
133
50
111
41
61
30
59
44
113
66
58
56
32
16
85


-------
ilTE
NO.
4
4
5
5
6
6
1
1
4
£
2
3'
3
4
4
5
5
6
6
3
5
4
6
FILTER
NO.
10693
10694
10695
10696
10697
10698
10699
10700
10745
10746
10747
10748
10749
10750
10751
10752
10753
10754
10755
10105
10106
10107
10108
DflTE
3-20-79
3-22-79
3-20-79
3-22-79
3-20-79
3-22-79
3-26-79
3-28-79
2-22-79
3-26-79
3-28-79
3-26-79
3-28-79
3-26-79
3-28-79
3-26-79
3-28-79
3-26-79
3-28-79
4-27-78
4-27-78
4-27-78
4-27-78
TSP

305.3
214.9
•™i **~i £ *~i
._! .Ml D « fc»
198.1
135.9
126.0
172.4
237.3
221.3
208.5
177.8
144.4
148.3
280.7
180.7
319.5
173.8
82.6
99.7
243.4
258.5
367.3
214.4
FLOW
(M3>
2044.3
2057.2
2175.7
1927.3
2194.2
1964.1
2299.9
2219.4
2255.4
2360.3
2476.0
2517.0
2557.9
2109.5
2378.1
2093.6
2536.2
2420.8
2450.6
1982.9
2191.0
2017.4
2248.8
CONC
149
104
155
103
62
64
75
107
98
88
72
57
58
133
76
153
69
34
41
123
118
182
95
D25

-------
ITE
NO. '
4
5
6
1
i!
6
5
1
£
.-,
6
5
4
1
L.
4
5
6
1
2
3
6
5
4
1
1
FILTER
NO .
10714
10715
10716
10717
10718
10720
10721
10722
10723
10724
10725
10726
10727
10728
10729
10730
10731
10732
10733
10734
10735
10736
10737
10738
10739
10740
DflTE
2 -3-79
2 -6-79
2 -6-79
£ -8-79
£ -8-79
'I1 O ~ *"•* O
L_ u i r
£ -8-79
2-12-79
2-12-79
£-14-79
2-12-79
2-12-79
2-12-79
£-14-79
£-14-79
£-14-79
£-14-79
£-14-79
£-£0-79
£.-20-79
£-£0-79
£-£0-79
£-£0-79
£-£0-79
£-£2-79
2-26-79
TSP
O'1G>
211.5
165.7
95.6
155.0
£ £ Z . '•••
63. £
£70. 7
134.5
122. 1
84. 1
107. 1
1 0 9 . 6
117. 1
146.3
102.9
110.5
105.7
74.2
321.7
£32.0
218.9
136.3
24£.6
£83.9
244.8
106.6
FLOW

2254.2
£596.7
£359. £
£373.4
££87.6
£491. 1
£349.9
£145.3
£303.4
2882. 8
£340. 1
£413.5
£195.0
££35.0
£503. 3
£ 1 £ 1 . 9
£474.5
£350. 9
£147.7
£340.0
£00£.0
££83.9
£206. 0
1962.0
£350.8
£538.7
COHC.
(UG/M3)
94
64
41
65
97
£5
115
63
53
40
46
45
53
65
41
5£
43
32
150
99
109
60
110
145
104
42
D26

-------
ITE
NO.
5
4
1
2
5
£
2
1
3
5
€
1 '
1
3
4
5
5
£
1
3
4
3
2
1
FILTER
NO.
10173
10174
10175
10176
10231
10232
10233
10234
10262
10263
10264
10265
10295
10297
10298
10299
10330
10331
10332
10333
10360
10361
10362
10363
DfiTE
5-25-78
5-25-78
5-30-78
5-30-78
6-13-78
6-13-78
6-13-78
6-13-78
7-13-78
7-13-78
7-13-78
7-15-78
7-25-78
7-27-78
7-25-78
7-25-78
8-10-78
8-10-78
8-12-78
S-12-78
8-26-78
8-26-78
8-26-78
8-26-78
TSP
O'1G>
514.4
428.9
277.5
246.8
129.4
27.9
100.5
61.8
257.9
351.7
186.3
224.4
158.4
141.7
174.4
205.0
176.9
91.5
204.6
187.1
102.1
80.9
104.9
72.1
FLOW

-------
ITE
HO.
1
4
5
2
6
1
4
6
2
1
2
3
4
5
1
1
3
3
6
2
1
6
6
i
2
3
FILTER
NO.
1Q377
10379
103 30
10381
10382
10383
10441
10442
18443
10444
10614
10615
1 06 1 6
10617
10534
10535
10536
10537
10486
10487
10488
10538
10565
10566
10569
10572
DfiTE
9 -7-78
9 -7-78
9 -7-78
Q _ ~? _ "7 O
7 I I u
9 -7-78
9-13-78
10 -7-78
10 -7-78
10-11-78
10-11-78
10-25-78
10-25-78
1Q-25-78
10-25-78
11-30-78
12 -4-78
11-30-78
12 -4-78
12-28-78
1 -2-79
1 -2-79
11-30-78
1-11-79
1-11-79
1-11-79
1-11-79
T3P

2449.8
2281.3
2298.3
2287.3
2466.7
2127.8
2257.3
2519.3
2000.0
1844.6
2262.9
2299.6
2101.6
2190.3
2484.6
2507.5
2256.7
2590.4
2388.5
2338.2
2363.3
2326.0
2402.5
2227.7
2109. 1
2063.8
CONC.
OJG/riS)
42
76
79
53
30
20
42
13
88
97
99
66
102
87
51
68
62
49
24
57
44
26
22
61
5?
60
D28

-------
HIE
NO.
5
5
6
6
6
1
2
2
3
3
4
1
2
3
2
2
3
3
FILTER
NO.
10596
18597
19598
10599
10600
10645
10689
10690
10691
10692
10710
10711
10712
10713
10741
10742
10743
10744
IlfiTE
1-25-79
1-27-79
1-25-79
1-27-79
1-30-79
11 -7-78
3-20-79
3-22-79
3-29-79
3-22-79
2 -2-79
2 -6-79
2 -6-79
2 -6-79
2-22-79
2-26-79
2-22-79
2-26-79
TSP
CMC)
128.6
235.4
60.5
65.9
35.4
122.2
332.0
230.0
288.6
280.6
157.6
214. 1
170.8
138.7
243.5
118.1
173.3
82.3
FLOW

2426.8
2637.3
2505.5
2548.2
2575.7
2243.5
2108.5
2054.3
2168.9
2124.0
2183.3
2073.9
2290.9
2097.8
2317.5
2275.3
2441.0
2670.1
COHC.
(UG/M3>
53
89
24
26
14
54
157
112
133
94
72
103
74
66
105
52
71
31
D29

-------
                                APPENDIX E




     The  following information represents the GEB computer results for the




fine particulates.  The resolution in this appendix was performed for six




source categories and includes an analysis of the project's overall average




values for each chemical component for each site.  Additionally,  the GEB




program calculates a combined average fit for all sites and provides com-




posite data for predicted source strength coefficients when multiplied by




the respective marker element concentrations.
                                    E-l

-------
             fO Tilt: AJfi.UJar'ukitt:    (;
Si'fctL
OIL     HtrUbt!       AUl'O     Llrfirtu    PKhUlCl'hiU      OiJbtKtftU      L/S
Ha . oaal .0000
LiiV . O3b7 .OOOO
Zrt .04/0 1 /.b/00
HI .2blO .0000
Ft: 2b / . 36 1 4 J 7 / . d3OO
M J . 3y4b 1 1 . / 1 J4
en ,44yj .0000
v . 3yji .0000
CA J / . /424 32. /IOI
M
i
N> 6 i . /y/j .oj/d
bl 1 /y /.23db J. //tib
AL 44y.JI40 l.duyj
CL 1.32/7 .0000
iJA 2a . 1 o 1 o . OOOO
1C dd.Oos/ .OOOO
COtFr .yd2l . b324
for1 /idy. y/6.
^ Tbt^ 42. d 3.b
.2 1 /2
.0000
.yoy4
o./doj
i .4yjo
.OJdO
.0421
IJ.b/20
2.0 Jay
. OOOO
.OOOO
d.2/yj
.0000
a.d222
.0000
.yoyo
iy4.
1 .2
I0y.440o
2.2dOd
loJ. J442
.2I2J
j.y2o^
.«O 04
.b004
.022y
4.yooj
.0000
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b . 1 6 /2
y.doo/
ya.ooob
.OOOO
.yb,2
IdbO.
H. i
oO 1 .obOJ
2IO.b//0
IJ.2JOJ
.JO/0
d.42Jl
1 .20JJ
.0000
.0000
d.42JI
.OOOO
.0000
.0000
4o.y2d/
.0000
I2.OJJO
,dd22
ooi /.
Jb.d
.0061
.OO4I
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.01 J4
4.0303
4.0b03
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202.b2bJ
6.0dHd
46.04yd
d. 1 1 JO
.1014
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i.do^r
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J.4
71 1.4022
2l2.y242
|yb. /20J
7.0JO/
i
1
OdJ.J042
21 .4061
1 . 003 1
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JOU.OJ/I
iy24. uiy
4/b.76J4
3d. Jbdb
1 J2.2340
loi .yojd



od2.000o
y2l .0000
1 71 .0000
7.0000
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2y.yooo
I.JbOO
1 4 . OOOO
joy.oooo
3l 10. OOOO
id jo. oooo
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74.2000
iy2.oooo
jOd.OOOO

TOTAL ^Ktui<

1 .04
4.JJ
1 .14
i .oy*
1.00
1 .40*
1 .J4*
1 .01
1 .00
*****
1 .03
I.I/
1 .21*
\ .43
J.02*
*A\/U
Jft'U TbP

                                                                                                    I .62

-------
> L 1"±=  ^ Ai/O —i-'i
                                       TO
                                                                
-J U>iO J
.d //o
.022J
.024/
/.y/db
.0000
.oooo
4.d6oy
.oooo
b. IdoO
.0000
.yjd/
1 14.
.0
I4.yjd4
.JI2I
22.2yol
.02yo
.SJD.
. loyj
.06*1
.OOJI
.oody
. oooo
I0.4J40
1 . 1 1 4d
1 .JJ /d
u.j/70
.0000
.Jd03
2bJ.
1.4
6dv.Jdyy
24 1 .2UOJ
1 b . 1 ooo
.42O3
y.6bi3
1 .J/dd
.0000
.0000
.oooo
.oooo
.oooo
3J.//24
.oooo
1 J. /u/d
1 .olod
6d*4.
Jd.3
.OOoO 7O4.366I
.0040 24l.66d3
.01 J2 6 7.^ol /
.OIJ2 4. /4Vo
4.00J4 yo7.d03j
4.00J4 2d.7b02
.00/2 .6323
.OIJ2 d.6y64
200.1 /24 J4I ,/yOJ
6.00b2 d.iy2J
46.0_>y6 2ldd.442o
d.OOoy b4d.b!22
.1001 3 /.Ol /2
.2602 4d.3d3/
i . /dis i iy . /Jbo
.bd,0
bb6.
J.I
6 /d . OOOO
7 y o.oooo
bd . oOOO
4.7600
y/2.oooo
4b.tOOO
1 .J/00
d.bOOO
J4J.OOOO
4y 7o. oooo
iy 10. oooo
364.0000
1 bO. OOOO
1 04 . OOOO
JJa. OOOO

i'OTAL ^HfcUi(

1.04
j.2y
1 .13
1 .00*
1 .00
l.b/*
2.1 /*
i .02
1 .00
*****
1 .Ib
1 .OJ
2.0J*
J.Jd
2.dl *
*A^GI 2.oj
JTtu TJH« r/yo4.


-------
    1'n J
t'Lh'MfNf
            hMt:LJl a
Si
AL
CL
ilA
Ix
Cuht-V
ibp
,i TSP
.0/Jl .OOUO
.0462 .0000
.•jj>til Id.) odo
. 20d / . OUUO
2Jd.aaJd JyO. /22y
2.ydiy 12. 1 124
.J/2/ .0000
.4y20 .oouu
JI.JI02 a4.bObd

i.4v 10 .ojyi
I4yo.yolb j.yo/2
J72. /404 1 .ybJo
1 .20/J .OOOO
20.d/Ja .oooo
/J.Oa/l .0000
1 .Oa /4 .606 /
ay&4. 1010.
44 . j / . a
. 1 OOa
. ouoo
.44ol
J. J2dd
. /J2J
.oido
.O2O6
o.ob //
.yyd/

. oooo
.oooo
4.O6I2
.0000
4. J2/a
.0000
.y4a/
ya.
./
Ib.dbo/
. JJU
2J.006/
.OJOd
.a6do
. 1 1 00
.U/J4
.OUJj
. /I 00

.uuuo
1 1 .0/00
I . idjj
1 . 42 00
14.2000
.oooo
.4/dl
2oy.
2.0
bay. I ooJ .Ooay b/b
I ya. /ud2 .oojy |yo
I2.JUI / .OI2y ab
.J4II .OI2y J
/.d2dJ J.VI60 042
I . 1 loJ J.y 1 66 2U
.uooo .00/0
.ouuo .oi2y /
/.d2dj lyb.djia 2yi.

.0000 b.d7aO 7
.0000 4b.04U IbaO
.OUUO /.dJJJ Ml.
4J.oibO .oy/y 4o.
.0000 ,2b46 jy.
1 1 .IdJJ 1 . /42y db.
1.0 IJU .6/0/
bay2. b44.
41 .a 4.0
. 2Od4 ba2.0OOO
. Ody/ ojG.oooo
. IJ2/ 4y.aUOO
.y224 b.oyoo
.J220 044.0000
.2ojy 22. d 000
4/Jd 1.2/00
1 06U /.040O
Id4d 292.0000

40bO 44/0.0000
yaoo i4io.uooo
//Id 44y.OOOO
4002 D4.0000
6aba 200. OOOO
9dJJ J 12. OOOO

TOTAL pifkLUu

1 .04
J.24
1 . 1 1
1 . JO*
1.00
1 .IJ*
2.6d*
1 .02
1 .00

*****
1. 10
1 .16
1 .16*
b.04
3.0J*
*A »/U «
rbu i'sp«

                                                                                                                               I .yd
                                                                                                                             134/J.

-------
                *»  AV I-.' — I- i .Jf-
                                                          1\)  filt
                                                                                         (|M
-------
     fc  b  AVvj-r iiJt:
                             JOiJi'tMuUl UM  1'U  1'llt  AiViiJbi-'ilLri't     ( rtu/i.i J J
bLtMtiJT
                                                  UiL      Rl-.hUbh         AUi'O      LiMiNJ     FrtcUiCi'hU       Ud^fc'UVtU        L/o
^J .Ubyd .uuuu
tiit . uj/y .uuuu
ZN .4jyo //.y|y|
ill .1 /uy . uuoo
t-t lyb.Jbyu io/D.obui
'•I''' 2. -t42U b 1 .y40l
^ . JUD^ .uuuo
i !22U.yyJd lO.Vbob
AL JUj.24d4 d.J/b4
L'L 1 .UJ /d .UUUU
iJA I / . uyjy .uuuu
'^ by.d2d/ .UUUU
<~ohi-r . yoi-4 . bdi y
l'^ 4bd4. 4JJU.
^ 'i'iJr1 2D.b 22. 0
. 1 DDD
. UUUU
.ODI2
4.dby4
I .uoy i
.U2/2
.UJUI
y . / 1 db
1 .tb /d
.uuuu
.uouu
b.y2ti4
.uuuu
0. Jl /^
. uuuu
.y /jy
i jy.
. /
JI.4U/V dJJ.24jy .UIOI
.OboJ 2y| .oJb4 .UUO/
40.d//l ld.JJ!4 .0222
.U6Uy .bUdJ .U222
1 . I2bl ||. oob4 o. /jy2
. 22y / 1 . ooob 6. /jy2
. 1 4bJ .UUUU .U 121
.UUoo .UUUU .U222
1 .4U6J Il.00b4 JJO.yDyo
.UUUU .UUOO lU.IUdd
21 .yjdb .OUUU //.bUU/
2.J4jy .UUUO U.4/d4
2.dl20 04 .yyjO . loUb
2d. I20J .UUUU .4JbO
.uuuu I6.6o4y 2.yydy
. J/bU 1 .UI24 ,b4y/
3-i-i. bJJ2. yjo.
2.d 4J.D 4 .y
bo4.d//U b2J.UUUO
2y2.JJo2 04b.UUUU
I44.24UO 124. UUUU
b.o2ld /.JOUU
iby i .oj/y lyuo.uouu
oJ.UbU/ bJ.JUOO
• 4y2d i . J6uu
1 U. 1 bUD IU.UUUU
OlU.bd/J 6IJ.UUUU
1 1 .4y /j 4yju. oooo
uj/.idya 12/u.uuuu
JJb.J//D bJb.OOUU
oy.UI2U 44J.UUUU
bl.y/b4 J6I.OUUU
/y.4y2D 1220. uuuu

fUl'AL FHtUlU

1 .Ub
2.21
1 . lo
1 .JO*
1 .00
1 . id*
2 . /o*
1 .U2
1 .00
*****
1 .UD
1 .6U
6.42*
6.ya
Ib.Jb*
*A i/U «
•ftU fbFJ

                                                                                                                                                       b.40

-------
Cl.MrrfllJlU'lUN  fi)
UiL
                            Mcl-'Ubt
AUl'O
Ll.'.iiHL>
                                                                                   Otibfc-KVtu
                                                                                 L/S
r"J .00 /I .OOOO
drt .042D .OOOO
£A .4yJ2 -2.d/4y
i4l .lyid .0000
Ft 2iy.id04 -oi.d2oy
iM 2./jyd -i.yioo
Crf .J42b .UOOO
(/ .41)^1 .0000
CA 2d./O/4 -d.624d
J i.joyy -.OU62
SI iJoy.d//4 -.6ldJ
AL J42.40VJ -.JOyl
CL 1.1044 .OOOO
iM ly. 1 /dJ .0000
S. 0/.I240 .OUUO
vJOht-V I.I 047 -.Jdlo
l"o f D4JO. — 1 6O .
/, TbH /2.0 -2.1
.06lb I2.iyld ldy.4l-->4
.OUOO .2b4d OO.2yi>4
.2b// Id. lyod 4.lo/l
1 .y2JJ .02J7 . 1 1 bu
.42JI ,4JO/ 2.Obld
.ojod .ouy2 .j/dd
.0 1 iy ,obo4 . ouoo
J.d40/ .002'-) .0000
,b//o .D4ay 2.0Did
. OOOO . OOOO . OOOO
. OOOO d . D 1 6 1 . OOOO
2.J40D .yoyd .0000
.0000 i .oyid i4. r/44
2.oooj lo.yiui .ouoo
.OOOU .UUOO J./dtiJ
.yo/2 .*«//
20/. Iby4.
./ 2./ 24. y
.00 ID
.0010
.OOJJ
.OOJJ
1 . 0042
1 . 0042
.00 Id
.OOJJ
D0.2IOJ
1 .b06J
1 1 .D4d4
2.00d4
.02bl
.06DJ
.446y
.0 lot
uy.
1 . J
201 ./J/4
06. by jo
20.24J2
2.2b7o
I ol .doy4
2.JOOI
.4126
4.J046
/4. 12 /o
2.b/00
i joy. J2J6
j4/.424y
1 /.ODD/
J2.O62U
/i . jDy2



iy2.oooo
i a / . oooo
iy.2ooo
4 . 440O
1 62 . OOOO
y.jDOO
.dJdO
4.240O
/4.20OO
JJ 00. OOOO
1240.0000
J 7 /.OOOO
40.4000
1 J4 . OUOO
lov.oooo

i'Oi'AL HHtUi

I.OD
2.dl
I.OD
i .y/*
1 .00
4.OD*
2.0J*
1 .02
1 .00
*****
1.12
i .oy
2.J/*
4.10
2.J/*
*A>/Ui 2.D6
ol'h'U fSpi 761 b.


-------
        Mi
                                    !MlAuA. 1 . -_>dy / .O/oO
rt Si iaby.7Jd4 7.6OU
1
00 AL jy/.4J4o J.d006
CL I.JDU .oooo
MA 22.2DOJ .0000
iC //.dy/2 .0000
wiAJon fc'LEi.ibNr di FH
cSi". >i HtiJrir .230 .Jd/
TSH oj'jy. iyo4.
,i TUfAL Tbr' 40. J I2.b
.I2// J0.2by/ 002. //yO
.0000 . /!)// 2IO.y/2/
.3J40 34. 1 190 1 J.2ol 1
j.ydyd .0/04 .jo//
.d//d I .2ydy d.4Jby
.O22J .2ob2 1.2030
.024/ . Io7d .OOOJ
/.y/y/ .00/0 .oooo
i . iv /o i ,o2Jo d.4Jby
.OOOO .OOOO .OOOJ
.OOOO 23.J277 .OOOO
4.d6/o 2. /ObV .OOOO
.0000 J.247I 4/.OIod
D.ldod J2.4/I4 .oooo
.0000 .OOOO !2.Obbo
\/ Zn Pii
.0/0 .Obd .100
114. oil). OO2d.
. / J.y -id. 2
.00/4
.oo4y
.0102
.0102
4.yody
4.yody
.oodd
.0162
24b.44bl
V.J6J4
36.4b24
y.u) /d
.I22/
.jiyi
2. Id43
CA
.JOO
od2.
4. J
ojy.2al /
211. Vd4b
I0j.b4y I
4.Ot)6/
IOJO.OOb4
JJ. I4b4
.bydd
d.b2bl
jyo. 1266
y.o2yi
io/y.i iy/
4lb.o2oo
bl.7J/y
00.2JJO
y2.jj/2


TOTAL ^i

o 1 1 . 1 oo /
oj /.6o6/
yo.ddJj
•j./JJj
IOJJ.006/
Jd.jyi /
1 .J46J
d.jybo
jy/.Joo/
4o7 1 .000 7
1341 .0007
3 1 1 . 1 00 /
I/J.OOOO
242.0000
DJ2.OOOO


JhUUTliO TSHi

1 .Ob
J.OI
1. 14
I.2J*
1 .00
1 .10*
2.2b*
1 .02
1.00
*****
I .oy
1 .22
J. J6*
4.02
3.77*
-*• A Jt "• I
*Avu 1

lD7o2.

                                                                                                       2.7b

-------
       SlTt  I  AVo-



       bli'b 2  AVo-



       Sift: 3  AVJ-



       cilTti 4  AVU.-




       SITt tj  AVU- I22u.yy4




       biTfc: O  AVJ- IJoy.U//
                                               COtfr-'l-'lClblJl') T( MAHh.l£l< l£l_ii..lh;iJ 1' CtJ.-JvJCb-iJTii Ai" 1 L






                                                UIL     iibFU6t       AU"i\J
J//.U1JO
OI2.00J
jyu./2j
t>6'j. /2o
o'/'j.odo
-61 .d2/
1 J.b/J
/.y/y
6.6:>d
0. 104
y . / 1 y
J.U47
2J.oo/
          OUt .030



          ouy.jyo   2UJ.I/2



                      iya.dJ2



                     4do.o/2



4o.d//   bJJ.244
vo

-------
                                APPENDIX F




     The  following information represents the GEB computer results for the




coarse particulates.   The resolution in this appendix was performed for six




source categories and includes an analysis of the project's overall average




values for each chemical component for each site.  Additionally, the GEB




program calculates a combined average fit for all sites and provides com-




posite data for predicted source strength coefficients when multiplied by




the respective marker element concentration.
                                    F-l

-------
l"t  I
t-Mtt Ji oi'liu
                                           i'U  1Mb Al'iAOiiHlllzHt
               LnJiL      oi'thL
                                    OiL      Kht-UJl;         AUl'J      LiMliJJ
                                                                                                                                       L/'J
I-J
bit
ZH
Hi
Ht
/•U
Clt
*
CA
3
Si
AL
CL
NA
K.
COhFF
TbP
£ i'bP
.JOOI .OOOO
. idyy . oooo
2.204U -J.dOJy
. d3/4 .OOOO
y/y.yibo -di.dOJb
I2.24dy -2.3Jby
1 . •_> J 1 1 . OOOO
2 .02 1 1 . OOOO
I2d.ol Jd -11.4110
O. 1 24b — . 00d2
oi2-H.4ody — . d I do
1 i)J 1 . 1 1 /2 -.40yO
b.20bd .OOOO
db./426 .0000
joo.oyyo .0000
1 . 1 dOI -.O/Ob
244yd. -211.
/y.b -./
.Ob/J
. OOOO
.220b
1 .4JJb
.4JOO
.0224
.OO40
2. do/0
2 .40d2
.OOOO
.OOOO
. I j|y
. OOOO
. / 1 0 /
.OOOO
.b/J4
41 .
. 1
b.JIbl IUJ./4J4
.21 bl 1 20. /dJO
I2.6bbl y.Db4/
.01 Ob .1121
b. I ddo o/.ydbl
.4yjb .JO/b
. J2yo . ooou
.ouy .ouoo
1 b. Id6l /b. JJ4d
. OOOO . OOOO
b.y22o .OOUO
1 1 . /oy2 .0000
2V. 1000 bb. 12 JO
I0.4bl0 .OOOO
.0000 j.o/4y
.oJby 1 . 141 J
144. IdJ/.
. b 0.0
.04dd
.OJ2o
. 10/4
.10/4
J2.bbya
J2.bbyd
.Obdo
. 10/4
1 O2 /.yddJ
4d.bJyo
J /4.4J/J
Ob . 1 1 yb
.b!40
2 . 1 1 04
1 4.4dy I
.d/bJ
^b22.
K./
ijy
127
20
2
1004
4J
1
D
1 dJb
b4
Ob04
1007
yo
lOb
Jl d



. 4O4b
.220u
.yjby
.b2oy
.2/bO
. 1 bo2
.y22d
.ooy4
. I |y/
.ybby
.OIO/
. /2bd
.24V4
.02/J
.262y



161 .
2oy .
|y .
4.
1 100.
20.
2.
3.
idoo.
ody.
-j iyo.
1010.
2IJ.
2b2.
od.

TOTAL

OOOO
OOOO
yooo
dOOO
OOOO
yooo
JOOO
OOOO
OOOO
OOOO
OOOO
OOOO
oooo
OOOO
2000

Hktou

1
1
1
1
1
1
1
1
1
12
1
1
2
2
4



. Id
.04
.03
.yj*
. 10
.oO*
.20*
.00
.01
.b4
.2b
.ay
.Jo*
.oy
.01*
*AVU» 2.Jb
rspi joaji .


-------
OJ
t'LtMt'Hf
iiJlL     iiftt'L
l\t  f.lt:  AI'Mi






  OIL      Itel-'Ubh
                                                                             (iJu/»iJ>
                                                                              AUl'O      LirtiHJ
                                                                                                                                        L/i
HJ . 32oO .OOOO
Utt .2063 .OOOO
/U 2.3y32 .4/03
NI .yjiD .0000
Kb- 1064. 3 Jod 10.1133
Mrt I3.300/ .JUb
CM l.oo JJ .OOOO
v 2.1 yoo .0000
CA 1 3y . /2Ob I .4IOd
a 6.6334 .0010
Si 66b3.j34d .1011
AL 1003. 33d7 .Ob06
CL 3.0334 .OOOO
HA y3. 1 4 /O .OOOO
fC J26.0I44 .0000
COb Ft-' 1.2321 .O06d
TbH 2661 J. 20.
% TSF /y.o .1
.03d6
.0000
.223d
1 .4002
.4jyy
.022y
.0041
2.yJ24
2.40J2
.OOOO
.OOOO
. U4y
.0000
./JJI
.0000
.b3yo
42.
.1
-1. J44U
-.Ob 44
-j.2oiy
-.OO42
-I.JI2U
.-. I24y
-.OdJ2
- . 00 J3
-J.d422
.OOOO
-i.4yd3
-2.y/7V
-/. J64J
-4. 1024
.OOOO
-.J/4V
lou.jju .o^di io/.42yo
IIO.l4d4 .OJd/ Ho.33yO
d./3J2 .12/7 d.7/O4
.\0
-------
SITc  J AVU-J
                                    ft) Trifc"
               JOiL
OIL     KhFUtiti
AUi'O
Hd .2d2J .0000
tit{ . 1 /do . OOOO
ZN 2.0/J9 -2.l6b/
Hi .dO6b .OOOO
Ft 92I./349 -46.3/bl
MN 1 .1 . b2 1 9 - 1 . 44 Jd
Uil 1 . 4402 . OOOO
^ 1.9011 .OUOO
CA !2O.9dOJ -6.49/2
a 3./OIO -.O04/
Si W60.96J4 -,40Dd
AL 1440.2421 -.2J29
CL 4.d9od .0000
rtA dO.ODjO .OOOO
K 2b2.2b/l> .OOOO
JOhH- I.22JI -.OJ9d
fSV 2J044. -120.
v/ 'I'WiJ /O *» — ti
A * or i jf » ^ • ^
.O4OI
.OOOO
.Ib4b
1 . OOJ4
.JOJO
.Olb/
.002d
2.006/
I.6d3/
.0000
.0000
.092J
.OOOO
.301 /
.0000
.b004
29.
.1
.J2JI
.out
.769J
.0010
.Jlb4
.OJOO
.0200
.oooa
.92JI
.0000
.J60O
. / 1 b4
1 ./69J
1 . OOOO
.0000
.0937
9.
.0
MO.dlbb
97. Io2/
7.J224
.Od39
32.101 /
.2dlo
. 000 J
.0000
3/./J4J
.OOUJ
.OOOO
.OOOO
42.24HO
.OOOO
2.d,0,
,;r/d3
I40d.
4.9
.049/
.OJJI
.109J
.I09J
JJ.I244
JJ.I244
.0396
.I09J
Iob6.2l /d
49.od03
Jd0.9JOI
OO.24d/
.b2dl
2.lbJI
I4./40J
.d904
4601.
13.9
141 .blO/
97. Jd/3
fa.2oJ/
2.O06I
9ol .022J
4J.329/
1 .322/
4. 01 dO
IdJI .0440
bb.442d
0141 ./92d
Ib07.06b/
49.7Jb9
d4. J0d4
299.d44l



120.0000
1 77.0000
a. 0400
4 . 1 300
1 1 7O.OOOO
26. 1000
1.2600
4.0100
Id60.0000
b4b.OOOO
4/10.0000
d2b.OOOO
24 1 . OOOO
1 U2 . OOOO
44.0000

TOTAL PHHUJIC

l .id
1 .d2
1 .OJ
2 .07*
1.22
1 .6/*
1 .21*
1 .00
1 .02
9.dJ
1 .JO
l.dJ
4,db*
2.16
6.dl*
*AVU« J.J2
TliU TbV* 2by/0.


-------
ler to
         SfttL
t\t  VHH  AfMUbHilCKC     li






  OiL     KtHU^fc        AJTvJ     L1.-UHO    PKt-l)iCrt;U
                                                                                                          L/a
HU
UK
Zrt
HI
Ht
M
CW
rf
CA
o
bi
AL
UL
NA
K
JOht-H
ran
* TV
.2/6J .0000
.1/40 .OOOO
2.OJOO 2b.obJ4
. /d94 .OOOO
9O2.223b 33I.6U6O
II.2//0 I/. I02J
I.409/ .0000
i.dooo .0000
lid. 41 /I /0.96O2
3.ojd9 .0332
boJd.9O9b 3.3169
I40V./2/4 2. 7304
4./9JI .OOOO
7d.V447 .OOOO
27o.JOoo .OOOO
I.I 4 Jb .24db
2/i33o. 1420.
o/.J 4.J
.O63U
.OOOO
.23J2
1.6440
.49J2
.0230
.OO46
J.2UdO
2./6I9
.OOOO
.OOOO
.1312
.OOOO
.d220
.OOOO
.OIV2
4/.
.1
-0.4200
-.J4II
-2O.OOJ/
-.O20I
-O.226I
-./U2b
-.321 /
-.0221
-24.O/03
.OOOO
-y.jovd
-Id. 6392
-46.1463
-20.O02U
.OOOO
******
-220.
-. /
140. 32 1/ .0090
IO2.40OO .O39J
7./4JI .I93/
.O906 .I93/
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-------
                                APPENDIX G




    The  following  information represents the CEB computer results for the




fine particulates.   The resolution in this appendix was performed for seven




source categories and includes an analysis of the project's overall average




values for each chemical component for each site.  Additionally,  the GEB




program calculates  a combined average fit for all sites and provides com-




posite data for predicted source strength coefficients when multiplied by




the respective marker element concentration.
                                    G-l

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b.b4d'-» .OOOO ll.039b
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1 .OyoO I4.7b9b .0240
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1 .00
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1 .09
1 .04
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4.07
2.20*
2.34
TOTAL HHtUiCTHL) VSPt 7bJo.




-------
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2.33


1 04 1 / .


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     SlTti  6  AViJ-  UJJ.'joO    -t>y.Ob4     b2.Joy     J.oytJ     I6.2oo

-------
                                APPENDIX H




     The following information represents the GEB computer results for the




coarse particulates.  The resolution in this appendix was performed for




seven source categories and includes an analysis of the project's overall




average values for each chemical component for each site.  Additionally, the




GEB program calculates a combined average fit for all sites and provides




composite data for predicted source strength coefficients when multiplied




by the respective marker element concentrations.
                                    H-l

-------
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hLtMbiJT SOIL di'thL COAL OIL HtFUbh AUTu
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tit{ .1512 .0000 -.U4bl .UUUU -.J426 U/.//2O
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Ft /bO.3364 old.bbdb -j|U.2JbO .04J6 -b.2o22 7J.b/bl
M y.7'j/o iy.i/62 -.b/4j .ojJb -. /bby .jyyj
Crt I.2ly6 .UUUU -.4blJ .UU6U -.b2jy .UUUU
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3.23

2b3bO.


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26d/0.


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