905D77002
          DRAFT REGION V POLICY FOR UNUSUAL AMBIENT  AIR QUALITY DATA


Issue 1:  Should valid air quality data  generated during an unusual event be
entered into a  State  data  handling  system and subsequently entered into the
National Air Data Bank?

Backgound:  During the Fall of  1976  and  Spring  of 1977,  Region V as well as
other Regions experienced an area-wide dust storm which brought dramatically
to our  attention the  need  for  a  policy on unusual data (Attachment 1).   "Un-
usual" data may be defined as data which is valid,  but not necessarily suit-
able for attainment analysis  purposes (40 CFR  51.12).   In the  Spring of 1977,
Region  IV drafted  a  data  policy  and sent  it out  to  its  eight  States  for
comments.  The policy requested that  only data suitable for attainment analy-
sis be  submitted  for  inclusion  into  the  National  EPA data bank  (NADR).  The
data not  submitted to NADB was  to be  submitted once a year  to  EPA with an
explanation of why it  was  not  suitable  for attainment analysis.   Since  NADR
data were (and  are)  used  most  of the time  as the  starting  point  for  most
attainment analyses,   Region  IV  wanted  the data  to  "stand   alone"  for  EPA
Headquarters, Congressional,  and  public  use;  i.e., the data  user would not
have to call the Region or State  for an  explanation of which  data they could
use.  Region  IV  staff would thoroughly  review  this unusual  data, submitted
once a  year, to see  if it  should be excluded.  Moreover, the Region  felt it
was impossible  to analyze the data  and  recalculate  geometric  means  in   a
reasonable amount  of time when called  upon  to do an analysis  or trends.
Generally, it would  also  be  difficult  to  continue  to maintain a  log  of the
unusual data.

In 1979,  Region  IV felt their  States  were excluding too  much data.  After
soliciting State's comments,  they revised the  unusual  data  submission  policy.
AH data were and are to be  submitted to  SAROAD.   States are  to  identify all
data they wish to  be  excluded  from attainment analysis.   However, since the
Region  still  wished  to  recalculate,  means,  number of short term standard
exceedances, they requested that a flagging system  be  devised  by  NADR  so  that
such recalculation could  be accomplished.  The NAD8 chose to implement  a user-
oriented comments file to document problems or events of general nature, i.e.,
all ozone data collected in  California during  1977  to 1979 is  20%  high.   In-
dividual data values could not  be flagged and, therefore,  excluded from  sta-
tistical analysis.

During the  Spring, NADB  staff visited  each  Region to  discuss the new  data
base management system,  Air  Information  Retrieval  System  (AIRS).  During  a
recent brief poll  of  the Regions, concensus was that EPA needed access to all
valid data  but  that  the new  AIRS should  be  able  to  flag unusual data  and
optionally exclude this data  from summary.  A proposal for implementing  such
flagging technique has been sent  to NADB for consideration in AIRS  (Attachment
2).  NADB expects that the air quality portion of AIRS will be available for
direct input and  retrieval  on a  pilot  basis  by the  end  of  the  Fiscal  Year
1984.

In the  interim,  Region V proposes to its reporting agencies a draft policy
similar to the Region IV policy.  An  issue paper on  this topic is  also expec-
ted from  the Standing  Air Monitoring  Work   Group  (SAMWG) during  FY  1984.

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                                    - 2 -

                    REGION V DRAFT POLICY FOR SUBMITTAL  OF
                       UNUSUAL AMBIENT AIR QUALITY DATA


This policy supersedes  any  previous  guidance issued  by  Region V  concerning
data deletion  and  invalidation.  It  does not  revise any  guidance on  data
to be  excluded from  control  strategy  or  attainment/maintenance  analyses.

Reporting Requirements for Ambient Air Quality Data

The Ambient Air Quality  Monitoring,  Data Reporting, and Surveillance  Provi-
sions (40 CFR  Part 58)  require  that  specific quality assurance, methodology,
and siting for NAMS  and SLAMS  he followed  as of January 1,  1983.   Further,
40 CFR 58.14 specifies that any ambient air quality monitoring stations other
than a SLAMS or a Prevention  of Significant  Deterioration (PSD) station from
which a  State  intends  to use the data  as  part  of a  control  strategy  demon-
stration or as support for a plan revision must  meet the same requirements as
SLAMS after January  1,  1983.   Methods,  procedures  and siting have been review-
ed and agreed upon by EPA, State and, as appropriate, local  agency represent-
atives.  All  data  is considered  valid if  the  EPA reference or equivalent moni-
tor is at an  approved  site and proper quality assurance procedures are used.
The senior air pollution  control  officer in the  State, or  his/her designee,
is required to certify  that  the data in the annual SLAMS summary  report  are
accurate to  the  best  of his/her knowledge.  Therefore, EPA considers  all
designated NAMS and SLAMS  data  entered  into the  SAROAD  system to  be  val id.

Principle Purposes of Collection and  Uses of Air Monitoring  Data

A summary  of  some  uses  of  air monitoring data are  listed  as  follows:

 1.  Judge attainment/non-attainment  of NAAQS

 2.  Evaluate  progress  in  achieving/maintaining   NAAOS  or  State  standards

 3.  Develop or revise SIP's to attain/maintain  NAAQS

 4.  New Source Review and Prevention of Significant Deterioration

 5.  Develop or revise national  control policies (e.g., New Source  Performance
     Standards)

 6.  Model development and validation

 7.  Energy related  issues

 8.  Support enforcement actions

 9.  Public information (e.g., air quality indices)

10.  Health research/establish standards

11.
' 1C Q I Vr'T I C.O C U I W 1 / C. •.» I* U " I I J » I  O U U I rvj U I VJ J


Develop or revise local  control strategy

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                                    - 3 -

12.  Determine specific cause of pollution in an  area

13.  Determine nature of air pollution problem in an  area

14.  Document and analyze unusual  meteorological  events

For a number of  the  above  monitoring data uses it may be  desirable  to  under-
stand and evaluate any  unusual  occurrence.   For  example,  it may  be  true  that
the area in  which  the air monitoring  site  is located  exceeds the  NAAOS  and
that people may be exposed to those hazardous levels.  However, the  course of
action necessary to  correct  the violation may be dependent upon the  reason
for the violation.

For calibrating  a dispersion model,  monitored  geometric and  arithmetic means
should only reflect  impacts  from  fugitive and point  sources in  the  emission
inventory and from representative  background  sources.   Any inclusion  of  un-
usual data will  result in an unexplained high intercept  or an  erroneous slope
of the calibration curve.

The use of data in showing past trends and estimating  future  projections  is a
common practice.  Trends are used  to show what  has  happened  over a general
area and are not  usually used for the  purpose of demonstrating short-term  pro-
blems or unusual occurrences.   Quarterly or  yearly averages  are  used to  plot
trends.  As a result, outlying  values and weighted quarters must  be  carefully
considered.

Invalidation of Data

At a minimum, the  State is required to edit, validate, and submit  NAMS  data
to EPA within sixty  days  after  the end of a calendar quarter.   The  State is
required to edit, validate, certify and submit a  summary of SLAMS data  to EPA
by July  1  after the  preceding  calendar  year.   This  is  ample  time for  any
instrument malfunction to be identified.

The following is assumed  of  all  air quality data reviewed in State  or local
agency reports and in SAROAD:

 1.  Data is of acceptable quality and reliability, i.e.,  proper  and frequent
     calibration has  been performed.

 2.  The site is properly located  and free from any bias.

 3.  There are no transcription or keypunch errors  in  the  data.

 4.  Common statistical  analysis may be performed on  the data.

 5.  The characteristics  of the  site have not  changed,  i.e.,   elevation of
     sampler and exposure.

It is only  after  these  five assumptions are satisfied that the  data will be
further analyzed  for  determination of  attainment and  maintenance  of  NAAOS,
NSR, PSD, and trends, dispersion modelling, and public  dissemination.

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                                    - 4 -

Quality controls limits are generally used to determine  whether an  instrument
is malfunctioning or beginning to malfunction.   If the  instrument  has ceased
to operate completely, of  course, maintenance and  a  new calibration are  re-
quired.  If the  instrument is "trending" toward  a  control limit,  optimally
the operator will provide necessary  maintenance to cease the trending and  re-
calibrate.  In  summary,  control   limits  are a  compromise  between  available
resources and desired  data quality.   Use  of  control   limits  result  in  the
initiation of specific corrective actions  necessary to  maintain  desired data
quality.  The exceedance of control  limits may indicate  that:

     0  an instrument has malfunctioned,
     0  the control  limits are too rigid, or
     0  the service frequency of  the instrument is too lenient.

Data collected  from  a  malfunctioning instrument is  declared  invalid  only
from the time the  malfunction was  identified  back  to   the last  satisfactory
instrument check, i.e.,  precision check, audit, or calibration.   These data
are not to be entered into the SAROAD system.   All other  data  is to  be submit-
ted and considered valid.

Invalidation of data which  have  already  been entered  into the SAROAD system
will be handled by EPA on a case  by  case basis as necessary.

Data from a  properly operating instrument are not  to be invalidated because
of any act  of nature or man; the contribution to the  atmospheric  burden  of
fires, volcanoes, tornadoes,  dust  storms,   construction,  demolition,  tec.,
affects the interpretation and use to be made of the data but  does  not render
the data invalid.  These  data  are valuable  for future   reference and are  not
to be invalidated.

Missing Data

Missing data  refers  to  any  data not  entered  into  the  SAROAD  system.   All
periods of missing data  are to be accounted for in  a central  record keeping
system and are to be  readily available for inspection.    Ideally, these records
are used by the  agency  to minimize the future loss of  air quality  data.  Miss-
ing data includes but is not limited  to, periods missed because of calibration,
audits, precision checks, routine maintenance and malfunctions.

Data Flagging

EPA recommends that all  "unusual" data and  all  data concentrations which  ap-
proach or exceed the primary or secondary national ambient  air quality stand-
ard be thoroughly and objectively investigated and documented.  Calculations,
and instrument performances  should  be verified.  Local  emission sources  and
meteorology should  be  investigated.   Data  generators   should  consider  the
value of investigating and  documenting,  all  exceedances of the  national  am-
bient air quality standards (NAAQS), any other outstanding  values,  and/or  the
ten highest values  at  each  site each year;  microscopic  analysis   should  be
performed on hi-vol filters  for  the days with exceedances of the  NAAQS.   In
this way, elevated valid  data can  be objectively  evaluated  and flagged  for
future interpretation.

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                                    - 5 -

It is incumbent on the data generator to flag  "unusual"  data;  any  limitations
or restrictions on the data should be  entered into the  flag system  (comments
file).  It is  incumbent on  the  data  generator to keep thorough and  accurate
records of the data  investigation  and  the data flagged.  The data  generator
should report to the  EPA  Regional  Office so  that the  NADB comments file  is
updated to ensure the proper use of all data.

Currently, the flag system  is  independent  of  the  SAROAD system and  is main-
tained on  State  files.   EPA is  working towards  consolidating these systems
and estimates completion by the end of 1984.

To flag data, the data generator needs to submit  the  following information  to
the Environmental   Monitoring  Branch,  Environmental  Services  Division,  EPA
Region V, Chicago, Illinois:

     0  SAROAD site number
     0  Pollutant
     0  Sample time(s) (year,  month,  day, hour)
     0  Sample concentration and units
     0  Explanation

Data may be flagged at any time, but  should  be flagged  as  soon as  possible  to
minimize the potential for its misuse.

Consideration of Unusual  Data

In addition to flagging unusual  data in the  NADB, the  data generator  should
notify the  Air  Management Division,  Environmental  Protection Agency,  Region
V, Chicago, Illinois of the existence of this  data.   This  may  be accomplished
by submitting a report containing the following:

     0  Information submitted  to the  flag system.
     0  Explanation for "unusual" data  accompanied by some certification,  such
        as a  newspaper article  or  letter   of  the  unusual   circumstances.
     0  Meteorological data, maps,  modelling  results, etc.,  which  support the
        influence of the unusual  circumstances on  the monitor.
     0  Microscopic analysis  of  hi-vol  filters  to  determine source  impact.

For industrial source pollution control  malfunctions, the  following  informa-
tion should also be submitted:

     0  Meteorological data,  maps showing  the  impact  on  the  monitor, and
        modeling demonstration.
     0  Summaries of  past malfunctions  or  similar accidents  for the previous
        two years from the involved source.
     0  Estimate of total  actual  emissions (type  and  amount).
     0  Enforcement actions to be taken.
     0  Procedures to minimize any  future recurrence.

The Air Management  Division may request additional  background information.

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Issue 2:  TSP Sampling Schedule and Completeness Criteria
Should 10 samples per calendar  quarter (i.e.,  75% of samples collected on  a
six day schedule) instead of the EPA minimum of 5 he required to  consider  the
annual geometric mean for  a  TSP site for comparison against the air  quality
standard?

Background:   On  April 19,  1983,  Mr.  Harry Williams, Director of the  Indiana
Air Pollution Control Division,  sent  a letter  to Larry  Purdue,  IISEPA,  EMSL,
to request that USEPA require site data completeness of  75%, based  on a six-
day sampling schedule, or  10  samples.   The  existing  requirement  of  5  samples
per quarter was  based on  the old National  Air Surveillance Network  (NASN)
biweekly sampling modified when EPA minimum recommended sampling  schedule  was
increased to once every six days.

Mr. Williams stated  in his letter that Indiana had thrown out data for many
years and some of that  data  was not utilized  for modelling  purposes  because
it did not meet six  day criteria for completeness, i.e., 10 samples.   Indiana
contended that if a  site did not meet  the  six day schedule, EPA should  not
utilize the data.  Indiana, therefore, recommended that USEPA make  adjustment
to 10  samples  to take   into  account  the  more  frequent sampling  schedule.

Mr. Neil Frank,  Office of  Air Quality  Planning and  Standards,  Monitoring  and
Reports Branch,  responded  to Mr.  Williams  letter,  that the  U.S.  EPA Task
Force Report on  Air  Quality  Indicators "essentially acknowledged that an  ad-
justment to the  current  EPA  data completeness  policy would  be one way  to
handle the heavier,  every  6-day  sampling  schedule".  He pointed  out that  EPA
Monitoring and Data  Analysis  Division  has  initiated a  study  to  re-examine
validity criteria for all  criteria  pollutants  and is expected  to publish  re-
commendations for revisions to these criteria  in the fall  of  1983.  With  the
use of every fi-day or more frequent TSP monitoring,  the current NADB criteria
is certainly minimal.  However,  reasonable estimates of the geometric mean  for
TSP can  be  obtained  from  a  small  number of samples.   EPA does not  suggest
throwing out a data  set merely because  the number of observations  is  less than
40 per year.  The completeness  criteria is  still EPA  guidance,  but  sampling
on a six schedule j_s_ mandated under 40 CFR 59.13 (b).

Mr. Williams contended in  a  reply to  Neil  Frank  on June 13,  1983, that  the
present USEPA data completeness policy "allows  anyone who reports data to  the
National Aerometric  Data Bank (NAHB) to manipulate the  numbers  in  a way that
best suits their purpose.  For instance, if an industry  shows  non-attainment
via a  six-day,  three day  or daily  sampling  network,  what  would  keep that
industry from reporting  only those  numbers from a  twelve-day  schedule  and
still meet EPA's criteria for data completeness and  possibly show attainment?

The answer is  contained  under  Section 113(c)(?)» "Federal  Enforcement",  of
the Clean Air Act as amended August 1977:   Any  person who knowingly makes  any
false statement, representation, or certification in any application,  record,
report, plan, or other document filed or required to be maintained  under this
Act or  who  falsifies,  tampers  with,   or  knowingly  renders inaccurate  any
monitoring device or method  required  to be maintained  under this  Act, shall
upon conviction, be punished  by  a  fine of not  more  than $10,000  or by inpri-
sonment for not more than six months, or by both.

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                    ATTACHMENT J_
EPA-450/1-77-002
DECEMBER 1977
           NATIONAL AIR QUALITY
      AND EMISSIONS TRENDS REPORT,
                      1976
         U.S. ENVIRONMENTAL PROTECTION AGENCY
             Office of Air and Waste Management
          Office of Air Quality Planning and Standards
          Research Triangle Park, North Carolina 27711

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             3.    NATIONAL AND REGIONAL TRENDS

                          IN CRITERIA POLLUTANTS


   Trends  in  ambient levels of total  suspended paniculate, sulfur dioxide, carbon monoxide,
oxidants, and  nitrogen dioxide are reported in this section. Each  of these criteria pollutants is
discussed individually; the extent of the analysis varies according to the amount of available historical
data. In contrast to Section 2, which dealt with specific urban areas, this section focuses upon national
trends and  trends over broad geographic regions. (Section 4 of this report presents maps illustrating
the concentration ranges of several pollutants in various parts of the country.)

   Considerable thought has been given to various ways to improve the nation's ambient air quality
monitoring programs. The recent activities of the Standing Air Monitoring Work Group (SAMWG)
have served as a focal point for new ideas. This work  group, composed of representatives from EPA and
State and local air monitoring agencies, has developed a comprehensive strategy document for ambient
air quality  monitoring.1 Because many elements of the SAMWG strategy document will affect future
trend analyses, some of these points are mentioned here  so that interested readers will be made aware
of anticipated improvements in the nation's air monitoring programs.

   The most obvious change will be the  designation of specific National Air Quality Stations (NAQTS)
for the criteria pollutants. These NAQTS sites would primarily be determined by the population of
the area. For total suspended particulate and sulfur dioxide, the allocation would be on the basis of
population  and pollutant concentration. Selected for the primary purpose of  long-term trends.
analyses, these measuring stations will provide more consistent data bases from one year to the next
and also ensure adequate geographical coverage. Obviously, these NAQTS sites would not be the onK
component  of an  air monitoring program. There are a variety of purposes for ambient monitoring
programs, and, therefore, it will be necessary to supplement these NAQTS sites with other types of
monitoring  stations. Other items  of note  in the SAMWG  strategy document  relate to  qua!it\
assurance,  increased continuous monitoring, and adherence to standardized siting criteria, all of
which will improve the ambient air quality data bases and thereby serve to improve subsequent trend
analyses. Readers  interested in  the details of the SAMWG recommendations are referred to the
strategy document.

3.1  TRENDS IN TOTAL SUSPENDED PARTICULATE

   The general long-term improvement in ambient air quality with  respect to  total suspended
particulate (TSP)  has been discussed in previous reports. *'• During the 1970's, there has been
nationwide improvement in TSP concentrations, but many areas experienced increases between 1975
and 1976. This section discusses national and regional TSP trends during the 1970-1976 time period
with particular attention given to comparisons between 1975  and 1976.

   The data used in these analyses were obtained from EPA's National Aerometric Data Bank. The
vast majority of the data were collected by State  and  local agencies through their air monitoring
programs and then submitted to EPA. All sites having  four consecutive quarters of data from 1970-
1973 and also from 1974 through 1976 were included in these analyses. This selection criterion was used
to ensure balanced seasonally and a comparable data base from the beginning to the end of the time
period. Sufficient data to satisfy this selection criterion were available from 2,350 sites. Although a site
would need only a minimum of 2 years of data to qualify for selection, 70 percent of these 2,350 sites
had at least 4 complete years of data during the 1970-1976 time period.

   As in last year's Trends Report,* a modified version of the graphical technique known as a box-plot7
is used to display trends. This  plotting technique  depicts several characteristics  of the data
simultaneously. Figure 3-1 is a sample illustration of the  plotting conventions used for the box-plots in


                                         3-1

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A~

C 	
-*« 	
                               I
                                          90TH PERCENTILE


                                          75TH PERCENTILE

                                          COMPOSITE AVERAGE
                                          MEDIAN
25TH PERCENTILE


10TH PERCENTILE
                                Figure 3-1. Sample illustration
                                of plotting conventions for
                                box plots.
this report. For each year, various percentiles and the composite averages are indicated so that the
general trend in  the average levels may be seen as well as the trends for the higher and lower
concentration ranges.

3.1.1   Long-Term TSP Trends: 1970-1976

   During the I9701s, there has been general improvement nationally in ambient TSP concentrations.
Figure 3-2 shows a box-plot presentation of trends in geometric mean TSP levels during the 1970-1976
time period for the 2,350 sites used in this analysis. This plot is consistent with results discussed in
previous reports.2'6 The general pattern shows stability for the lower concentration sites  and more
pronounced improvement for the higher concentration ranges. The median and composite average
also indicate fairly consistent improvement through 1975. During this time period, the overall rate of
improvement was slightly less  than 4 percent per year, with  more marked improvement in the
Northeast and Great Lakes regions. Figure 3-3 displays trends in peak values at these same sites and
shows a similar pattern during this time period. It should be noted that sampling frequencies at many
of these sites were increased during this time period. While increasing sampling frequencies would
not alter trends in annual means, it could be expected to result in an artificial increase on the order of
2 to 3  percent per year for the peak values during this time period. Even with this contribution,
however, the general pattern in Figure 3-3 shows improvement  through 1975. Also apparent in both
graphs is the trend reversal in 1976, which is discussed in more detail in the following section dealing
with short-term changes. Knowledge of geographical differences in long-term TSP trends provides
background information that is useful in considering the short-term changes.

   Figure 3-4 displays 1970-1976 trends for each EPA Region and provides a convenient presentation
of trends by geographical area. Although all areas had improved TSP levels in the 1970-1976 time
period, trends in the western areas of the country were generally less pronounced. In many cases, this
geographical variation is attributable to a difference in the nature of TSP problems from one area to
another. In some locations, wind-blown  dust is an important component of TSP levels and is more
difficult to control  than emissions from traditional sources.

   As would be expected from these graphs, improvement was fairly consistent from 1970 to  1976, with
72 percent of the sites having decreases in ambient TSP levels. Because air pollution control strategies
are designed to reduce levels at locations exceeding the National Ambient Air Quality Standards,
more pronounced improvement would be expected for the sites with higher concentrations. For those
sites with 1970-1973 averages above the annual primary standard, 81 percent showed improvement.
For sites in this category, improvements outnumbered increases by at least a 2 to 1 margin in all
3-2

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             110
             100
             •0
              70
             CO
                                              A

                                              •»•
             SO
             «0
             30
             20
              10
I       I      I
T
                  1970
                            1971
                                     1972
                                              1973
                                             YEAR
                                                       1974
                                                                1976
                                                                         197E
                Figure 3-2. Trends of annual mean total suspended paniculate
                concentrations from 1970 to 1976 at 2,350 sampling sites.
regions of the country. Using nonparametric regression, 27 percent of these higher concentration sites
show statistically  significant improvement while only  1 percent of these sites had  statistical!)
significant increases.


3.1.2  Short-Term TSP Trends: 1975-1976

   In many areas of the country, the general downward trend in TSP levels in the early 1970's was
followed by a reversal in 1976. This was apparent in Figure 3-2 and 3-3 for the nation,  but is more
obvious in some of the regional graphs in Figure 3-4. Based upon  changes between comparable
quarters in 1975 and 1976 for these TSP trend sites, 53 percent of those comparisons showed increases.
Over half the States  had more increases than decreases between 1975 and  1976. The Southeast,
Midwest, and West generally recorded increases.

   The widespread pattern of these increases suggests that some common factor was involved. Because
Jio general increases in particulate emissions throughout these areas occurred in 1976 and there were
                                                                                        3-3

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             350
             300
            5250
           3200
            = 150
             too
                   I      T      V
T
T
T      T-
                   1970
                            1971
                                    1972
                                             1973

                                             YEAR
                                                      1974
                                                              1975
                                                                       1976
                 Figure 3-3. Trends of peak daily total suspended paniculate
                 concentrations from  1970 to 1976 at 2,350 sampling sites.
not widespread changes in sampling methodology, meteorological conditions would be the likely
candidate for explaining these increases. In fact, many State agencies ranging from the Midwest to
Washington and California have cited meteorology as the main reason for these TSP increases in
1976.8*14 Large areas of the country experienced drought during 1976, and these extremely dry soil
conditions increased the likelihood of wind-blown dust contributing to ambient TSP levels.

   Figure 3-5 illustrates the geographical areas affected by drought in 1976. This map was constructed
by integrating the Palmer Index* throughout 1976. The Palmer Index, a reasonable indicator of
overall soil moisture conditions, reflects both rainfall and evapotranspiration. This map shows that
dry soil conditions existed  in those general areas that had TSP increases. Specific days that had high
TSP concentrations may also be examined to see whether the dry conditions contributed to  these
values.
* Obtained from the Weekly Weather and Crop Bulletin, 1976.

3-4

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                    NEAR OR ABOVE
                        NORMAL
                    SLIGHTLY BELOW
                        NORMAL
 SEVERE
DROUGHT
EXTREME
DROUGHT
MODERATE
 DROUGHT
  Figure 3-5. Index of drought from monthly Palmer Indices for period April - October 1976.
   Such an analysis was done in the Midwest by EPA's Region V with the cooperation of the State
agencies in Region V and also Iowa.15 Figure 3-6 illustrates TSP isopleths in this area for October 15,
1976.  Elevated TSP levels were  recorded  throughout this area. On this particular day, dry  soil
conditions and strong winds combined to increase  the likelihood of wind-blown dust.  These
meteorological factors also  coincided  with  fall harvesting, which increased the  likelihood of
wind-blown soil particles. This explanation of these high levels was also supported by microscopic
examination of the high-volume filters for  this day.15

   An even more dramatic example of the impact of wind-blown dust over a broad geographic area
occurred in February  1977 in the Southeast. Although this incident took place  in 1977 rather than
1976, it illustrates the potential impact  that dust storms can have. Extremely high TSP values were
recorded on February 24, 1977, throughout  this area, and an analysis was conducted by personnel of
EPA's Region IV office with the cooperation of State and local air pollution agencies in the Southeast
as well as the National Weather Service Forecast Office (NO AA) in Birmingham, Alabama. '* Figure 3-7
shows TSP concentration isopleths  in EPA Region IV for February 24, and is indicative of the
3-6

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            100
             100
                                   150
             Figure 3-6.  Isopleths of total suspended particulate concentrations
             (/jg/m3) in EPA Region V and Iowa for October 15, 1976.
extremely high values in this area for that day. The basic cause was wind erosion of the soil. Figure 3-8
graphically depicts a satellite view of the dust storm at successive points in time from February 23-25,
1977. Extremely dry soil conditions in the Central Plains and the development of a strong frontal
system resulted in dust being stirred up and eventually transported east. Meteorological conditions
that were likely to cause dust storms coincided with widespread cultivation for farming, and the end
result was widespread transport of wind-blown dust throughout a broad geographical area. It should
be noted that the concentration levels reported during this storm were extremely unusual for this area
and represent historically high values that are not at all typical of the normal TSP ranges in the region.


   In discussing the 1975-1976 increases, it should be noted that some areas continued to improve in
1976.  For example, the continued progress in the New York  area  was presented in Section 2.
Nationally, for those trend sites with complete 1975 and 1976 data, 54  percent of the sites above the
primary standard in 1975 showed improvement in 1976. In general, the short-term 1975-1976 increases
did not appreciably affect status with  respect  to the primary standards. For those  sites located in
highly populated areas (SMSA's), 5 percent went from above 75 ug/mj (the primary standard) to below,
while another 5 percent crossed in the opposite direction for a net change of zero. For those sites
located outside these populated areas,  however, 8 percent crossed in the increasing  direction while
only 3 percent dropped below the standard so that there was a net increase. This seems consistent with
the meteorological contribution to these increases in that the urbanized areas showed a lesser impact
                                                                                        3-7

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oEPA
            United States
            Environmental Protection
            Agency
           Office of Air Quality
           Planning and Standards
           Research Triangle Park NC 27711
EPA-450/2-78-052
December 1978
            Air
National Air Quality,
Monitoring, and
Emissions Trends Report,
1977

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3.  NATIONAL AND  REGIONAL TRENDS  IN CRITERIA

                                POLLUTANTS

Trends in ambient levels of total suspended paniculate (TSP), sulfur dioxide (SO2), carbon monoxide
(NOJ, oxidants/ozone (O3), and nitrogen dioxide (NO2> are reported in this section. Each of these
criteria pollutants is discussed individually; the extent of the analysis varies according to the amount
of available historical data. The major emphasis is upon  national trends and trends over broad
geographical regions. As in previous reports.1 6 California is emphasized in the subsections dealing
with the automotive-related pollutants -CO, O3, and NO2 - because of extensive historical monitoring
of these pollutants.
3.I TRENDS IN TOTAL SUSPENDED PARTICULATE
  Total Suspended Particulate (TSP) levels throughout the nation have improved during the 1970's
These trends have been discussed in previous reports.1"6This section examines long-term TSP trends
from  1972 through 1977 and the short-term changes from 1976 to 1977. The general trend shows
long-term improvement with a gradual leveling off in the past few years.

  Data for describing these trends were obtained from EPA's National Aerometric Data Bank, which
stores air quality data submitted by State and local agencies and by federal monitoring programs To
ensure seasonal balance, trend sites were selected only if they had four consecutive quarters of TSP
data in both the 1972-74 and the  1975-77 time periods. Accordingly, 2,707 sites that met this selection
criterion were included in the analysis. Over 70% of these sites had at least 4 years of data and over
90% had at least 3 years.

  Throughout this section, as in  previous reports,5'6 trends are depicted using a modified box-plot7 to
display simultaneously several features of the data  Figure 3-1 illustrates the use of this technique in
presenting the composite average, the median, and selected percentiles corresponding to the lower
and higher concentration levels.

3.1.1  Long-Term TSP Trends: 1972-77

  Figure 3-2 is a box-plot presentation of national trends in geometric mean TSP levels from 1972 to
 1977. During this period, the nationwide average decreased by 8%, an improvement of almost 2% per
year.  While all parameters show improvement, the decrease in TSP levels is most pronounced in the
90th  percentile values of the box-plots.

  Figure 3-3 summarizes TSP trends for each of the 10 EPA Regions. The overall trend in improve-
 ment from 1972 through 1975 was  followed by a reversal in some  regions  in 1976; this reversal is
 discussed in more detail in the following section on short-term changes.
                                         160
            90TH PERCENTILE
   r
           -75TH PERCENTILE


           -COMPOSITE AVERAGE

           -MEDIAN
            25TH PERCENTILE
                       ICIX PLOT ANNUAL VALUES
                                               1972
                                                     1971
            10TH PERCENTILE
                                                          1174    U75

                                                             YEAR
                                                                     1S76
 Figure 3-1. Sample illustration
 of plotting conventions for
 box plots.
Figure 3-2. Nationwide trends in annual mean total suspended
particulate concentrations from 1972 to 1977 at 2,707 sampling
sites.
                                          3-1

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                                   U.S. EPA REGIONS, EASTERN STATES
                                                                                                          fe
                                                                                                          F-
  160
  140
  120
^E 100
 5 80
 a.' 60
 w ou
 *~ 40
   20
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            l
                       REGION 1
               J_
      1972 1973  1974 1975 1976 1977
                                                         REGION 2
                                        i	I
                                                 I	I
                                                         l
                                        1972 1973  1974 1975 1976  1977
                                                                                        REGION 3
1972 1973  1974 1975  1976 1977
                  160
                  140
                  120
                 5 80

                 ft 60
                 *~ 40
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                                          REGION 4 _
                                      l
                                          l
                                               i
                       1972 1973 1974  1975 1976 1977
   REGION 5 _
                                                                           I
                                                                               l
                                                        1972  1973 1974 1975  1976 1977
     Figure 3-3.  Regional trends of annual mean total suspended particulate concentrations,
     1972- 1977.
32

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                                  U.S. EPA REGIONS, WESTERN STATES
  160
  140
  120
"E100
1»
   60
   40
   20
    0
B
                         REGIONS
      1972 1973 1974 1975  1976 1977
                                         REGION 7 -
                                                 i     i    ii
                                                                                       REGIONS -
                       1972  1973 1974  1975 1976 1977
                                                                       1972 1973  1974 1975 1976 1977
   160
   140
   120
«E 100

^ 60
£ 40
                   20-
                         i    i    i
                                        REGION 9
                       1972 1973  1974 1975 1976  1977
                                                                         REGION 10 -
                                                          i     i    i
                                         1972  1973 1974 1975 1976 1977
                                               YEAR
       Figure 3-3 (continued).  Regional trends of annual mean total suspended paniculate
       concentrations, 1972- 1977.
                                                                                               3-3

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  Despite the short-term reversal in 1976, 60% of the sites showed long-term improvement from
1972-1977. For those sites with TSP concentrations exceeding the annual standard, 77% showed
long-term improvement. Approximately 25% of the sites reported their lowest annual values in 1977.

  Although there has been a nationwide decrease in levels of total suspended paniculate matter,
there is evidence that levels of some types of particulates may be increasing. This is indicated by in-
creasing  trends in secondary particulates, such as sulfates8 and deterioration of visibility  in the
Southwest and nonurban areas of the East.910 The patterns are consistent with growth of emission
sources outside of large metropolitan areas.
3.1.2 Short-Term TSP Changes: 1976-77

  The short-term increase in TSP levels in 1976 was discussed in detail in last year's report.6 Many
areas experienced unusually dry weather in 1976; the resulting wind-blown dust may have con-
tributed to elevated TSP levels. On February 24, 1977, the extremely dry soil conditions in the Central
Plains and a strong frontal system resulted in dust being stirred up and transported east. The resulting
high TSP levels measured throughout the Southeast were discussed previously.6 Figure 3-4 shows
peak value TSP levels in Region VI (Central Plains) by quarter from 1972 through 1977. The dramatic
increase in  the first quarter of 1977 is obvious from this graph. Monitoring sites throughout Texas,
Oklahoma,  and Arkansas reported high TSP levels during this February dust-storm. Several sites
recorded daily values in excess of 1000 ^g/m3, a single value of this magnitude would increase the an-
nual geometric mean at a site by 10%.

  The short-term increases associated with unusually dry conditions had relatively little effect on the
percentage of sites nationwide exceeding the TSP standard. In fact, those sites exceeding the annual
mean standard continue to show improvement by a two to one margin.
 3.2 TRENDS IN SULFUR DIOXIDE


  Sulfur dioxide 
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                                   ATTACH MEN
                  UNITED STATES ENVIRONMENTAL PROTECTION AGENCY
                                       REGION V

   DATE   Sfcp 1 \ 1983

SUBJECT   Suggested Method for  Flagging  Anomalous  Data  in the  Future  AIRS  System


   FROM   Stephen K.  Goranson,  Chief
         Environmental  Monitoring Branch

     TO:   John C. Bosch, Acting Chief
         National  Air Data  Bank
         MDAD, OAQPS (MD-14)


         Our State agency and  Regional Office participants appreciated your staffs'
         visit in May to discuss AIRS.  We welcome your return at least annually to
         keep our staff and the States abreast of changes in the national air qual-
         ity/emissions  data  base  management   systems  as well  as listening to  our
         concerns.

         One important  discussion  topic  raised  at the  meeting  was the  ability to
         flag individual  data  points which were  valid but  which  should be excluded
         for specific purposes such as attainment  analysis.   An  example might be a
         single documented  dust  storm which  affected  most  monitors  over  a  large
         geographic  area.  AIRS will utilize  ADABAS, a data base management system,
         offering the ability  to select on a   single or multiple parameter basis and
         then to perform statistical analysis of the  selected  data.   The data base
         management  system  also  allows  tables and  coordinated  files,  which  could
         prove to be useful in tracking  unusual  data  through the following scheme.

         Obviously,  maintaining a  flag  for each data value  would be  a tremendous
         overhead of disk space.  However, if  AIRS  data  records ard constructed on a
         SAROAD site/pollutant/year/data  value(s) basis,  as  I believe  the current
         system is for  intermittent data,  a one character flag could indicate whether
         the record  contains  at least  one anomalous concentration value.

         If the record indicates,  for example,  a flag  ?*0, then  a coordinated file
         could be scanned to determine which  value or values could be  excluded from
         statistical analysis  (e.g., arithmetic  mean, maximums, etc.).

         The coordinated  file  would consist of  the site/parameter/year key and the
         associated  date(s)  and  unusual  value(s).   A one character  code  could be
         assigned to the  data  value to indicate the type of event which  occurred to
         exclude it  from the   statistical  analysis.   Since the  expected number of
         these data  would be  small, the coordinated  file could contain  a  free  format
         comments field like  the current NADB*AERO-MESSAGE file.  If a summary file
         of statistics  is also maintained, NADB  has  the  choice to  include or exclude
         such data upon update.

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                                   - 2 -

Depending on the structure of the  raw data  transaction  record, the  unusual
data file could be  updated  either manually or automatically.  A schematic of
the flagging structure is attached.

As I am  certain you  have already  been planning on such a  request  from the
Regions, I hope this information maybe useful to you.  If your have further
questions or suggestions, please contact me at 353-2306.

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