United States
        Environmental Protection
        Agency
Environmental Research
Laboratory
CorvalUs, OR 97333
EPA/600/3-WOSI
September, 1990
        Research andJOeyetopment
EPA   ATLAS OF AIR QUALITY AND DEPOSITION IN OR
        NEAR FORESTS OF THE WESTERN UNITED STATES

        September, 1990

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                                      EPA ERL-Corvallis Library
                                            00000675

                                        EPA/600/3-90/081
                                        September, 1990
 ATLAS OF AIR QUALITY AND DEPOSITION IN OR
NEAR FORESTS OF THE WESTERN UNITED STATES
           by Margi Behm1 and Terralyn Vandetta2
          1.  NSI Technology Services Corporation
               2.  Oregon State University
               Contract Number 68-C8-0006
                    Project Officer

                     Roger Blair

                   Terrestrial Branch
         U.S. EPA Environmental Research Laboratory
                 Corvallis, Oregon 97333
       ENVIRONMENTAL RESEARCH LABORATORY - CORVALLIS
       OFFICE OF RESEARCH AND DEVELOPMENT
       U.S. ENVIRONMENTAL PROTECTION AGENCY
              CORVALLIS, OREGON 97333

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When referencing this report, please use the following bibliographic citation:

Behm M and Vandetta T (1990) Atlas of Air Quality and Deposition in or near Forests of the
Western United States. EPA/600/i-90/081. Environmental Research Laboratory, Office of Research
and Development, Environmental Protection Agency, CorvaHis, Oregon 97333, pp.  470

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                               TABLE OF CONTENTS
Abstract  	;	      iii

1.  Introduction   	       1
        Objectives and Aims   [[[       2

2.  Western Forests		.......	.	..	       2

3.  Emissions   ....„..............................„...._.....„....„......_».»......„.«......».........       4
        Sources of Data   [[[       4
        Atlas Format	       4
        Summary Statistics   [[[       4

4.  Air Quality and Deposition   [[[      10
        Sources of Data   	..	...	.	....	      10
        Siting Criterion   	      10
        Data Quality    	      11
        Air  Pollution  Statistics and Biological Significance   	..—      11

4A. Sulphur Dioxide   	      13
        Sources of Data   	      13
        Atlas Format    	      13
        Summary Statistics   	      14

4B. Ozone   	      15
        Sources of Data   	      15
        Atlas Format   	      15
        Summary Statistics   	.»	      16

4C. Wet Deposition from Rain and Snow	      20
        Sources of Data   	      20
        Atlas Format    	      20
        Summary Statistics   	      21

5.  Summary and Conclusions  	      24


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                                      LIST OF FIGURES
  Figure 2.1  Major forest types across the western United States.                    	  3

  Figure 3.1   Locations of point sources emitting sulphur dioxide during 1985
  across the western United States (NEDS 1985).                                   	  5

  Figure 3.2  Point sources emitting nitrogen oxides during 1985 (NEDS 1985).        —  6

  Figure 3.3  County estimates of total sulphur dioxide emissions (point and area
  sources) during 1985 (NEDS 1985).                                              	  8
                                                                       \

  Figure 3.4  County estimates of total nitrogen dioxide emissions (point and area
  sources) during 1985 (NEDS 1985).                                              	  9

  Figure 48.1   Seventeen calibration patterns  of hourly  ozone  concentrations
  (ppb) for sites in or near western forests (after Bohm et al.  1990).  The graphs
  are arranged by mean (smallest to left of plot, numbered 1 to 5)  and coefficient
  of variation (lowest towards  top of plot, lettered A to E).                          	19

  Figure 4C.1   Mean annual estimates of precipitation amount, volume weighted
  pH averages, and deposition of hydrogen ion, sulphate, and nitrate in or near
  western forests during the  period  1985 through 1988 (National Atmospheric
  Deposition Program (IR-7)/National Trends Network (1990)).                      	23
                                    LIST OF TABLES
Table 3.1  State level estimates of annual average emissions from all
anthropogenic sources during 1975, 1980, 1985, and 1987/88 (Tgfrear).
Estimates  normalized by area of state are presented in brackets for 1985
(10-6 Tg year; km'2).  1 Tg = 1 million metric tons.

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                                        ABSTRACT
An Atlas of air quality and deposition  data has been compiled to make air pollution data  and
information more accessible to biologists and ecologists working in western forests.  Data from the
1985 National Acid Precipitation Assessment Program Emission Inventory are used  to characterize
emissions of sulphur dioxide and nitrogen oxides across the West  Maps illustrating location, type,
and magnitude of major point source emissions together with pie charts of the percent contribution
by source category are presented alphabetically by state.  Data from the Environmental Protection
Agency databases AIRS and SAROAD are used to characterize ambient levels of sulphur dioxide
and ozone for three averaging periods, viz., annual, May through October or growing season,  and
monthly. Data for 20 sulphur dioxide and 70 ozone sites in or near western forests are presented
by state. Biographic information together with standard summary statistics are given for each site.
Summary statistics for sulphur dioxide include frequency of occurrence of hourly sulphur dioxide
concentrations between 9 intervals, viz.,  0-10, 10-20, 20-30, 30-40, 40-50, 50-60, 60-70, 70-80,
& 80  ppb.  Summary statistics  for ozone include percentile distributions, mean and standard
deviation, cumulative  indices SUM06 and SUM08,  and a description of  the diurnal  patterns
experienced at each site.  Data for 32 wet deposition sites in the National Atmospheric Deposition
Program/National Trends Network (NADP/NTN) are presented by state for the three averaging
periods.  Biographic information together with several summary statistics are given for each site.
Summary statistics include percentile distributions for weekly pH, and weekly concentrations (mg/L)
for  sulphate, nitrate,  and  ammonium.  Annual  and seasonal deposition estimates for volume
weighted average concentrations and deposition (kg/ha) are also given.
                                            in

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              1.  INTRODUCTION
Subsequent to their discovery and documentation
in Scandinavia and north-eastern America, acid
deposition and gaseous  pollution episodes have
been reported in several locations in the western
United States.   Southern and  central California
have received particular  attention especially with
respect to episodes of ozone (O3), sulphur dioxide
(SO;), and nitrogen oxides (NOX)  (Miller et at
1986; Jacob et al. 1987; Bytnerowicz et aL  1987),
deposition loadings of acidic ions (Leonard and
Goldman  1981;  Liljestrand  and Morgan  1982;
Stohlgren and Parsons 1987), and haze and cloud
episodes (Macias and Zwicker 1981; Munger et aL
1990).  Observations of acidic precipitation and
of sensitive high elevation watersheds showing
signs of acidification  have been reported  in
Colorado (Nagamoto et al. 1983; Turk and Adams
1983; Harte et al. 1985; Reddy and Claassen 1985;
Turk and Campbell 1987).  Add deposition and
haze episodes in  the Pacific Northwest (McBean
and  Nikleva 1986;  Edmonds and Basabe  1989)
and  Central States (Dawson 1978; Flocchini et aL
1981a, 1981b; Macias and Zwicker 1981;   Linak
and  Peterson 1983; Messer 1983;  Thomas and
Buseck  1983)  are  becoming  more  frequently
documented.
        There is  little doubt that air pollution is
capable of harming forests, either by direct effects,
such  as  visible injury (e.g.,  Miller et al.  1963;
Skelly et al. 1987), or by indirect effects, such as
impacts of acid deposition on soils (e.g., Tabatabai
1985; Reuss and Johnson 1986), predisposing the
ecosystem  to attacks by pests  (e.g., Cobb  et  al.
1968; Stark et aL 1968), or  community changes
(e.g.,  Miller  1973).    Thresholds   at  which
pollutants cause damage to vegetation  are widely
debated  especially  for natural,  multi-species
systems.   Furthermore,  regional assessments  of
forest   condition  are   inhibited  by  complex
interactions  between  species,  pollutants, and
environmental conditions.
        The role played by air pollution on  forest
growth  and vigor has been investigated in  the
United  States by local  studies as well as  by
national programs  such as  the National Acid
Precipitation Assessment  Program  (NAPAP),
Integrated Forest Studies (IPS), and Response of
Plants to Integrated Stress (ROPIS).  With the
exception  of southern   California, the western
United States is generally believed to be without
an  air pollution  problem, especially in  remote,
forested areas.  This conclusion is usually based
on  direct comparisons of ozone concentrations
and annual wet depositions of sulphate in rain
and snow between sites in the eastern and western
United States.   Little consideration is given  to
differences in pollutant sensitivity between eastern
and western ecosystems nor to differences in the
nature,   magnitude,   and   seasonally    of
environmental stress experienced by eastern versus
western  .forests.     To   further  enhance  the
inapplicability of such direct comparisons, large
areas of the West are without monitoring data,
especially high elevation forests.
       Population densities across the West are
typically a fraction of those of the eastern United
States. However, in areas with high population
densities, such as southern California, ozone levels
are comparable to  or exceed those  for similar
areas in the east  Western forests  surrounding
densely populated  valleys experience  adverse
effects such  as foliar  injury and reductions  in
growth (e.g., Miller et aL  1963; Miller et aL 1989;
Pedersen 1989;  Peterson  et aL  1989).  Southern
and central California provide a window into the
future of forests surrounding major western cites
such  as  Seattle,  Salt   Lake  City,  Phoenix,
Albuquerque, and Denver.
       The western United States has a legacy of
beautiful   forests and mountains.     Increasing
reports  of  atmospheric   fallout  and pollution
episodes  in the  West together with  ecological
damage to  European  and  eastern  American
forests, provide  sufficient reason for westerners to
be concerned about the future  of their heritage.
The Western Conifers Research Cooperative was
charged by NAPAP to investigate forest condition
across the  West  Pan of the program involved
accumulation of information on air quality and
deposition  in or near western forests.  The data
were obtained from a variety of sources such  as
the Environmental  Protection  Agency's  (EPA)
National  Emissions  Data  System (NEDS) and
Aerometric Information Retrieval System (AIRS),
National  Atmospheric Deposition Program and
individual research projects.  The results of the
Western Conifers Atmospheric Project have been
and are being  published in the peer reviewed
literature  (Behm 1989; Muir and  Behm  1989;
Behm et al. 1990;  Warren et al.  1990, Behm
1990b) and in peer reviewed government reports

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 (Behm lS»90a; Reams et al. 1990; Sisterton et al.
 1990).      These   papers   describe   regional
 characteristics  of  ambient  concentrations  and
 deposition of air pollutants in or near western
 forests, together with detailed analyses of ozone
 and wet deposition under western conditions.
        It  is not  the purpose of  this Atlas to
provide detailed spatial or within  site analyses.
These have been  performed  elsewhere and the
interested user is referred to the general literature
listed above.
              Objectives and Aims

General or regional descriptions rarely provide
scientists with  the  kinds  of  air  quality  and
deposition  information   needed  to  link   air
pollution exposure  with  vegetation  effects  and
responses. The main objective of this Atlas is to
summarize  readily  available  air  quality  and
deposition data for  the  western United  States
using  a  variety  of  summary  parameters  as
surrogates for air pollution exposure.  Specifically,
the purposes of the Atlas are:

• provide  a   comprehensive   description   of
   emissions of sulphur and nitrogen oxides across
   the West; of ambient concentrations of sulphur
   dioxide and ozone in or near western forests; of
   the ionic chemistry of rain and snow in or near
   western forests; and of  deposition  loadings
   during rain and snow events to western forests.

• develop a  convenient reference on air quality
   and  deposition that can be used  to  guide
   western forest  research  scientists   on  the
   potential for their system  being exposed to air
   pollutants.

• provide air  quality  and  deposition  data
   summaries  in a  flexible  format   that  allows
   integration with biological effects information.

• present actual data used to create the published
   regional summaries.

        The   Atlas   consists  of (1)   a  brief
description of the forests of  the West;  (2) a
section  on  emissions  of sulphur dioxide  and
nitrogen oxides across the  West; (3)  a section on
ambient concentrations of sulphur  dioxide  and
ozone,   together    with   concentrations   and
depositions of ionic species in  rain and  snow.
Methods  used to generate  the summaries  are
discussed in each subsection.
           2. WESTERN FORESTS
The eleven western states occupy about 40% of
the land area of the conterminous United States.
About one third of the West is forested (Figure
2.1).   Coverage by state ranges from  11% in
Nevada to 55% in Washington.   Approximately
61% of western forests are federally owned.
        The West  is characterized by  extreme
relief with massive north-south mountain ranges
separated  by basins, valleys, and plateaus.  The
large area together with diversity of topography,
climate, and soils lead to a corresponding diversity
of species and  forest  types.   With the exception
of the Pacific  Northwest, extensive forests only
occur in the mountains. Natural disturbances are
important determinants  of  forest structure  and
species  composition in  the  West (Oliver 1981).
At any given time, a large proportion of western
forests are in a serial stage  following fire, insect
or disease outbreaks, or wind-throws. Fire is the
most important natural disturbance over much of
the West
        Conifers   dominate  western   forests,
presumably  because of  better adaption  to  the
summer drought-winter precipitation climate that
prevails over much of the West  Ponderosa pine
(pinus  ponderosa),   lodgepole  pine  (Pinus
contorts), and Douglas-fir (Pseudotsuga menziesii)
are most  common  (Figure  2.1).  Only 14% of
forest land in  the  West is classified with a non-
conifer type. Furthermore, hardwoods are usually
only important in specialized situations such as
riparian habitats,  early  successional stages,  or
certain xeric, low  elevation  habitats.  The only
major hardwood with distribution throughout the
West is quaking aspen (Populus tremuloides). A
detailed discussion of the  distribution  of forest
species  throughout  the  West   is  available  in
Whitney (1985) and Olson (1990).

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              IESHRN FORESTS
            HD "   " •        HD
      MAJOR  FOREST  TYPES'

      ' Il|llli*< Iru I.I Itfiruitil »l liilMlliri.
        "    ••''    '    '
                                            ItIII • 1:1.III.Ill
Figure 2.1  Major forest types across the western United States.

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                3.  EMISSIONS
 Point sources of sulphur and nitrogen dioxide are
 scattered .across the eleven western states (Figures
 3.1 and 3.2). In 1985, the estimated total sulphur
 dioxide emissions for the West was 2.15 Tg
 (1  Tg  =  1 million metric tons),  10% of the
 national estimate, and 3.01 Tg for nitrogen oxides
 or  16% of the national estimate (Placet  and
 Streets 1987).    State  totals  for  1985 ranged
 between 0.04 and 0.59 Tg for sulphur dioxide and
 between 0.08 and  1.11  Tg  for  nitrogen  oxides
 (Table  3.1).  County estimates of total sulphur
 and total nitrogen  dioxide emissions (point  and
 area sources) are presented in Figures 33 and 3.4.
 The interested  reader is  referred to Placet  and
 Streets (1987),  Roth et al. (1985),  Hidy  and
 Young (1986),  and Bahm  (1990b)  for more
 information on emissions  of pollutants across the
 western United States.
                Sources of Data

Data  on the locations  of point sources and on
estimated  annual  emissions  of  sulphur and
nitrogen dioxide were  obtained from National
Acid  Precipitation Assessment Program's  1985
Emission Inventory, considered by many to be the
most  current, complete, and accurate  large-scale
inventory  available for the West (NEDS  1985;
Sellars  and  Morris   1989).    Annual  emission
estimates for 1987/1988 were obtained from State
Departments of Air and Environmental Quality.
        Emissions data  are not measured values.
Instead, the emission factor is multiplied by the
activity level of the source for a given time period
to yield an estimate of emissions from that source.
Consequently, emission inventories possess varying
degrees  of uncertainty.   Langstaff and  Wagner
(1986) estimated the uncertainties associated with
the   1980   NAPAP   Emissions   Inventory.
Uncertainty values  of  1%  (based on  a  90%
confidence interval)  were estimated  for  total
national annual  emissions of sulphur dioxide and
nitrogen oxides.  Uncertainty  levels increased to
6% and 4%, respectively, for state-level  total
emissions of sulphur dioxide and nitrogen oxides.
At the county level, uncertainty levels of annual
emissions of sulphur dioxide and nitrogen oxides
were estimated at 16%.  The uncertainty estimates
for national annual emissions may be lower than
expected since errors associated with systematic
bias and with  the  use  of mean parameters for
estimating emissions estimates were not included
in the  uncertainty  analysis  (Placet and  Streets
1987).
        A panel of  13 inventory experts reviewed
the 1985  NAPAP  Emissions Inventory (Sellars
and Norris 1989). Although uncertainty estimates
were not reported by Sellars and Norris, the panel
concluded that the  quality of the 1985 industrial
process point source emission estimates was high;
that the national emission estimates  for specific
categories appear  to  be  more  credible  than
estimates available in earlier inventories; and that
area  source  emissions  estimates were  at  best
'planning  estimates' and  for some  categories,
'guesstimates'.
                 Atlas Format

Maps  illustrating   the  location,   type,  and
magnitude  of  major  point  sources  (annual
estimated emissions i 100 Mg, where
1 Mg =  1 metric ton)  of sulphur and nitrogen
dioxide, together  with pie charts illustrating the
percent contribution by source category to annual
emissions  (point  source  only)  are  presented
alphabetically by  state  for  1985  (Appendix 1).
The maps and pie charts were generated directly
from the emissions database (NEDS 1985).
              Summary Statistics

Magnitude of annual estimated emissions from
point sources during 1985 is represented as one of
three categories, 10* - 103 Mg, 103 - 10* Mg, or
10* -105 Mg.  Industries are separated into seven
categories, viz., metal industry, electric generation,
petroleum industry, chemical processes, industrial
fuel use, mineral products, and other. Activities
such as wood products,  food/agriculture, leather
products, textile manufacturing, evaporation,  and
waste disposal were designated "other*.
        The  percent  contribution   of  specific
source types to total point source emissions at
state level during 1985 is presented as pie charts.
Total emissions for the state during 1985  are
available in Table 3.1.

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                          locution of  Major Point Sources of  SO,
                                              m       i   u    no
                                                   SCU! • 1:11.lit.100
Figure 3.1  Locations of point sources emitting sulphur dioxide during 1985  across the
western United States (NEDS  1985).

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                      Locution of Major  Point  Sources of  NO,
                                          m       •  i>    no
                                              SCUt • l:ID.t«O.DOO
Figure 32  Point sources emitting nitrogen oxides during 1985 (NEDS 1985).

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Table 3.1   State level estimates of annual average emissions from all anthropogenic sources in
1975,1980,1985, and 1987/1988 (Tg per year). Estimates normalized by area of state are presented
in brackets for 1985 (10-a Tg year7 knr*).  1 Tg = 1 million metric tons.
A.  SULPHUR DIOXIDE.
  State
1975
1980°
Total U.S.
25.80
 23.6
Total US.
18.5
 19.4
  1985*
21.5 (15.7)
19.1
1987/1988*
Arizona
California
Colorado
Idaho
Montana
Nevada
New Mexico
Oregon
Utah
Washington
Wyoming
137
0.47
0.10
0.05
0.20
0.22
037
0.04
0.09
035
0.14
0.71
0.43
0.13
0.04
0.14
0.13
028
0.04
0.09
0.28
0.19
0.59 (2.00)
030 (0.74)
0.13 (0.48)
0.05 (023)
0.12 (032)
0.11 (039)
027 (0.86)
0.04 (0.16)
0.08 (038)
025 (1.45)
0.21 (0.84)
na
na
na
na
na
na
na
0.04
0.06
0.12
na
                                                                              na
B. NITROGEN OXIDES.
State
Arizona
California
Colorado
Idaho
Montana
Nevada
New Mexico
Oregon
Utah
Washington
Wyoming
1975
0.18
1.18
0.24
0.08
0.10
0.08
0.20
0.20
0.11
0.25
0.17
1980°
0.23
121
0.26
0.08
0.12
0.09
022
022
0.13
0.27
0.21
1985*
025
1.11
0.28
0.08
0.13
0.10
0.22
0.21
0.13
0.25
025
1987/1988C
na
na
na
na
na
na
na
0.19
na
0.27
na
                                                                              na
a Total U.S. emissions for 1980 presented here are about 0.9 Tg lower than those in the NAPAP
1980 Emissions Inventory (Wagner et al., 1986)  due to the possible omission of emissions from
combustion of nonpurchased fuels  in the industrial sector.

b Totals presented for 1985 are the sum of the 1985 power plant emissions (calculated using the
same  methodology as  Knudson, 1986) and the  1984 values  from Knudson (1986) for sulphur
dioxide, and 1984 estimates for vehicular emissions for nitrogen  oxides.   The estimates do not
reflect reductions from non utility sources during 1984-1985.
  Estimates obtained from state Departments of Air Quality, na - not available at time of printing.

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          SO2 EMISSIONS (lO-* Tg/yr)
                cm o   • 10
                ED 10   -10 2
                m 10 2  • 103
                •i 10 3  • 10 *

                ^H 10 5  • 10 ^
Figure 3.3  County estimates of total sulphur dioxide emissions (point and area sources)
during 1985 (NEDS 1985).

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           NO2 EMISSIONS (KT* Tg/Vr)
                     0   - 10
                I10   - 10 2
                EZJ 10 2  • 10 3
                •• 10 3  - 10*
                •i 10* '- 10 5
                •• 10 5  - 10 6
Figure 3.4  County estimates of total nitrogen dioxide emissions (point and area sources)
during 1985 (NEDS 1985).

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     4.  AIR QUALITY AND DEPOSITION

This  section  presents information on sulphur
dioxide,  ozone,  and precipitation  chemistry.
Information on the deposition of ions during rain
and  snow  events  is also  presented.    Data
summaries for nitrogen dioxide are not included
since nitrogen oxides are readily oxidized and have
short residence  times in the atmosphere.  The
effects of  nitrogen  oxides  on  plants are  not
frequently studied and, for example, are not even
considered by Skelly et al. (1987).
               Sources of Data

Data describing ambient concentrations of sulphur
dioxide, ozone, and the chemistry of precipitation
across the West were assembled from public data
bases and short-term monitoring projects, some of
which were funded by Western Conifers Research
Cooperative.       The   time   period   under
consideration, January 1980  through  December
1989, was chosen to limit uncertainties that may
arise  from non-standard  calibration techniques
used  for  ozone  monitors   prior   to  EPA
standardization in 1979.  A detailed description of
monitoring techniques is available in Lefohn and
Benkovitz (1990).
        Hourly concentrations of ambient sulphur
dioxide  and ozone are  monitored by  the State
Departments  of Environmental Health or Air
Quality.  The data from  these sites are fed into
the  EPA  Aerometric  Information   Retrieval
System (AIRS; previously SAROAD)  as part of
attainment analyses.  In addition to compulsory
monitoring sites,  several  states  and research
organizations also collect air pollution data  as
part of special projects funded  at state level.
These data are archived and are often available to
the public.  During the study period, '254 sulphur
dioxide  and  309 ozone  monitoring sites were
operational  across  the  eleven  western  states,
however, not  all of these sites were active during
the entire summary period.
        Weekly composite precipitation samples
are collected  throughout the West as part of the
National    Atmospheric   Deposition
Program/National Trends Network (NADP/NTN).
The weekly, seasonal or annual chemical data are
available to the public through the NADP/NTN
Coordination Office at Colorado State University.
Monthly volume weighted averages can also be
obtained  from  the  NADP/NTN  Coordination
Office and from the Acid Deposition System Data
Base  (ADS)  at  Battelle   Pacific  Northwest
Laboratories.   Seventy-seven NADP/NTN  wet
deposition sites  were operational  in the eleven
western states during the study period, however,
not all of these sites were active during the entire
summary period.
               Siting Criterion

The sulphur dioxide, ozone, and wet deposition
sites are  usually  not located within or  near
coniferous forests.  A siting criterion of 20 km
from the  boundaries  of coniferous  forests  was
applied to select sites summarized in this Atlas.
These sites  were  identified electronically  in  a
Geographic  Information  System using latitude,
longitude,  and   1:2,500,000  ecoregion  maps
(Omerick  and  Gallant  1986;  Omerick  1987).
Although  ecoregion maps are compiled using
many different factors besides vegetation type, the
ecoregions  identified  as  typically  covered  with
coniferous  forests  correlate  well  with  those
depicted on the 1:3,168,000 Natural Vegetation
Map (Kuchler 1975) and 1:7,500,000 Major Forest
Types Map (National  Atlas of the  United States
Map 1970).  Surprisingly no recent map showing
the forests of the West  could  be  found  with  a
scale  greater  than 1:2^00,000.   This  is  the
smallest scale required to identify  individual air
quality monitoring  sites, especially in southern
California.
       A total of 20  sulphur dioxide, 70 ozone,
and 32 wet deposition sites were located within
20  km of forest  ecoregion boundaries.  Large
areas  are without  air  quality and  deposition
monitoring sites  especially in  Idaho, Montana,
Wyoming, and Utah.   Furthermore, air  quality
data from sites in complex terrain  typical of the
West  are  often  not  representative  of regional
pollution characteristics.  This  follows from the
influences of topography and meteorology on the
dilution and transport of  air  pollutants.   For
example,  topography  can restrict  dispersion of
pollutants from  a  basin  and  higher  pollution
levels may be measured at sites beneath inversion
height  than in  forests  at  elevations  above
inversion height.   Intrusions of polluted air up
canyons and passes during valley and anabatic
                                                10

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winds  cause spatial  heterogeneity  in air quality
characteristics over  short  distances.   A more
detailed discussion of air pollution meteorology in
complex terrain and  western forests is offered by
Oke (1987) and Behm (19905).
                 Data Quality

Data reported in the Sulphur Dioxide and Wet
Deposition sections originated from the same data
bases,  viz.,   SAROAD   and   NADP/NTN
respectively.  The data within  these sections are
directly comparable since they were subjected to
the same collection and measurement criteria, and
data quality routines. The accuracy and precision
of sulphur dioxide data  are reported by AIRS
(formally  SAROAD), a  detailed description  of
which is given in Lefohn and  Benkovitz (1990).
NADP/NTN  operates  using  several  Quality
Assurance Programs that address site selection,
sample collection techniques, field and laboratory
measurements.    Accuracy and  precision  of
precipitation  chemistry and wet deposition data
are described by NADP/NTN in the Annual and
Quality Assurance  Reports available  from  the
NADP/NTN  Coordination  Office at  Colorado
State University.
        The data reported  in the Ozone section
originated  from four sources, viz.,  AIRS,  the
National Park Service (NFS),  Washington State
Department  of  Ecology,  and  Washington
University. Although a formal quality assurance
plan is not available for NFS ozone data, the data
from the NPS Network are included in the AIRS
data base.  Since NPS data  have to conform with
AIRS standards to be included in the data base,
we  consider NPS ozone  data  to be comparable
with AIRS data in the context of this Atlas. The
collection  and measurement procedures used  by
Washington State  Department of Ecology and
Washington  University  follow  Environmental
Protection Agency guidelines (Washington State
Depanment  of  Ecology  Air  Programs  1989;
Edmonds et aL 1989).  We consider the data from
these two sources  to be  comparable with AIRS
and NPS data in the context of this Atlas. The
accuracy and precision of ozone data reported by
AIRS and NPS is described in detail  by Lefohn
and Benkovitz (1990).  The accuracy and precision
of ozone  data  collected  by Washington State
Depanment  of  Ecology  and   Washington
University  is  reported  by  Washington  State
Department of Ecology Air Programs (1989) and
Edmonds et al. (1989) respectively.
       Data of  poor quality can be generated
when an instrument does not operate correctly.
Data  on  precipitation  chemistry  and  wet
deposition are carefully screened for data quality
issues  by NADP/NTN  (National  Atmospheric
Deposition Program 1989).  Ozone  and sulphur
dioxide data are screened by  AIRS (formally
SAROAD) as described in von Lehmden and
Nelson (1977) and Puzak and  McElroy (1987).
Data presented in the Atlas were not screened
further unless large  deviations from  expected
values  were found. In these cases, the data were
set to missing.
       Summary statistics presented in the Atlas
usually do not estimate missing  data, although it
is  recognized that missing data can lead  to large
underestimations of cumulative indices  such as
SUM06 or SUM08 for ozone and wet deposition
of ions.  Sulphur dioxide and  ozone monitors
usually undergo  a span check  once a day that
results in a missing value every 24 hours.  Span
checks occur at the same time, frequently late at
night  Ozone summary statistics reported in the
Atlas for sites with low ozone values at night are
rarely  influenced  by   these   missing  data.
Unfortunately, ozone  statistics for rural and
remote sites, especially those at high elevation,
may  be influenced by these missing data since
ozone levels can  range from 20  to above 60 ppb
at  night (e,g., Bohm et aL 1990). Sulphur dioxide
summary statistics may  also be  influenced by
missing data from span checks, especially  if the
monitor is  close to a point source that  emits
effluent below the temperature inversion.
       Missing data are also  generated when an
instrument fails to operate.  In this case, blocks of
missing data usually occur. The missing hours are
often  uniformly  distributed,  but data  on  air
pollution episodes may not be collected if the
instrument  is  non-operational   Consequently,
estimates of data  capture are  included in the
summary tables  to guide  the  user as to the
representativeness of the data summaries.
       A  detailed   description  of summary
parameters is  given  for  each  pollutant in its
relevant section.
                                               11

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Air Pollution Statistics and Biological Significance

 A  preliminary step in understanding  ecological
 consequences of pollutant exposure is knowledge
 of plant physiological processes that influence
 pollutant uptake.   These processes affect  the
 sequence from  external  pollutant  exposure  to
 biologically significant pollutant dose, and control
 a  multitude  of  temporary  and  permanent
 physiological  responses.    Intrinsic  differences
 between species need to be understood to develop
 exposure-response functions for important species
 within  western  forest  ecosystems.    Variable
 environmental conditions for each individual and
 through  the  canopy  of  a  single  individual
 influence  exposure-response  functions  within
 genetically determined boundaries.   Long term
 consequences of pollutant exposure are difficult to
 understand because of scale problems related to
 the long life spans  of trees.
        Unfortunately,  our  present  state   of
 knowledge   does  not   allow   consistent
 quantification  of  links  between air  pollution
 exposure and  plant or  ecosystem  response.
 Established   relationships   between  various
 exposure characteristics and plant response  pined
 from laboratory  experiments  usually on annual
 plants imply  that  both  the  magnitude of  the
 pollutant  concentration   and  the  length   of
 exposure are  important    However, for  all
 practical purposes,  very little is known about  the
 effect  of both  single and multiple  pollutant
 exposures  on  natural   and   managed  forest
 ecosystem:; under field conditions where additional
 environmental stresses influence the  physiology of
 organisms exposed.
        Over  the years  much effort  has been
 placed  in  developing biologically meaningful
 indices for pollutant  exposure (e.g., Lefohn and
 Benedict  1982; Heck et aL 1984; Lefohn et aL
 1986; Lefohn and  Runeckles  1987; Krupa and
 Kickert 1S>87; Hogsett et aL 1988; Lee et aL 1988;
Tingey et aL 1989).  A  review of the literature
 implies  that  a  single  exposure  index  for a
 particular pollutant will probably not apply to all
 plant species, field conditions, and exposure levels.
 Our approach is  to  present several summary
statistics, thereby allowing the  user to  decide
which method yields an appropriate  surrogate for
 pollutant uptake  for the plant  species of interest
 to that user.  We  wish  to stress that summary
statistics in this Atlas are not linked to biological
effects until biologists apply the air quality data to
their research or apply the information based on
their research.
        The choice of summary statistics used to
characterize each pollutant was based on known
or suspected  mechanisms  of damage  to  forest
trees.    For  convenience,  common  summary
statistics are  also  included.   Descriptions  and
possible interpretations of the summary statistics
are presented by pollutant in subsequent sections.
Since  ozone  is the  only  regionally  dispersed
pollutant  known to  injure trees  and because
ozone damage to forests in southern and central
California is well documented, more emphasis is
placed on summarizing ozone concentrations than
on summarizing sulphur dioxide and precipitation
chemistry.
        In the real world, plants are exposed  to a
melange of stresses  all at once. Co-occurrence of
exposure  to  several  pollutants   can,   under
laboratory conditions, lead  to  exacerbated effects
in certain plant species (e.g., Olszyk et aL  1989).
Many of these pollutants, such as sulphur dioxide
and  ozone, do not  often co-occur under natural
conditions (e.g., Lefohn et aL 1987).  Thus we did
not investigate hourly co-occurrence of pollutants,
however,  the  summary  tables  for  different
pollutants are arranged  so  that  some  inference
can be obtained on co-occurrence  or sequential
exposure of forests  to different pollutants.
                                                 12

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           4A. SULPHUR DIOXIDE
                                                                   Sources of Data
Direct foliar injury to plants can occur after 1
hour exposures to sulphur dioxide concentrations
of  500  ppb (e.g.,  Heck  and Brandt 1977;
McLaughlin 1981). Sulphur dioxide damage need
not  be visible.   There  is some evidence that
annual average concentrations as low as 10 to 20
ppb, together with occasional peaks of between
40 and '•  ppb can reduce tree growth (Last and
Rennk  1982).
        Sulphur dioxide injury to forest trees is
usually restricted to areas where undiluted plumes
frequently come  into contact with the ground.
Forests located in areas with poor atmospheric
ventilation are most susceptible  to damage from
sulphur dioxide.   Thus,  emissions  of sulphur
dioxide within valleys usually cause more injury to
adjacent forests than  do emissions from sources
located in well-ventilated terrain (Skelly et  al.
1987).
        Regional  levels of sulphur dioxide are low
across   the  West, although  pockets  of high
concentrations do occur.   Sites recording high
sulphur dioxide levels  are usually located dose to
large point  sources.  Hourly concentrations  in
excess  of  80 ppb occur  relatively frequently at
monitoring sites in southern Arizona,  Idaho, and
Montana (Beam 1989).  During  periods of poor
atmospheric ventilation,  hourly  sulphur dioxide
levels  in  the San Joaquin  Valley,  California,
averaged around 40 ppb with maximum values of
up to 60 ppb (Jacob et al. 1987).  Sulphur dioxide
measurements at  Tanque  Verde near Tucson,
Arizona, were typically below the detection limit
of the instrument, although hourly concentrations
as high as 30 ppb were  recorded  on  occasion
di   .;  both  summer  and winter months (Linak
a   /eterson 1983).
        Sulphur dioxide abatement strategies have
resulted in large reductions in  emissions at many
point sources across the West, especially  in the
smelter industry.   Current  levels of sulphur
dioxide, where measured, are probably  lower than
those referred to above.  However, there are very
few sulphur dioxide monitors in or near forested
areas in the West and additional pockets of high
sulphur   dioxide   concentrations,   thus   far
unmeasured, may occur near many point sources
across the area.
Hourly concentrations of ambient sulphur dioxide
were obtained from the Environmental Protection
Agency (SAROAD,  currently AIRS) and  were
analyzed by  Dr. Allen Lefohn of A.S. & L.
Associates, Helena, Montana.  The study period
spans 01 January, 1980 through 31 December,
1988.  All sites  followed EPA calibration and
monitoring  guidelines,  although  not all  sites
operated for the entire study period.
                Atlas Format

Data  tables are presented alphabetically by site
and state (Appendix 2).  The first page for each
site provides BIOGRAPHIC INFORMATION for
that site that is available in SAROAD.  The site
name and state are clearly marked at the top of
the page.  A map displaying the  location of the
site together  with locations  of  other sulphur
dioxide sites within 20 km of forests in that state
is presented.    The site  under discussion is
demarcated  with  a star,  remaining  sites are
represented by a small circle.   Geographic data
such as latitude, longitude, and elevation of the
site in meters, are presented.   Information on
landuse around the site, on  population of the
nearest city and of the region as a whole (1980
Census), is given. The period for which data were
available is  indicated.  The source of the  data,
together with SAROAD codes,  is  given.  The
purpose of this page is to provide the user with
spatial data and useful information about the site.
       The   second  page   presents  BASIC
STATISTICS for the site. Again the site name is
clearly marked at the top of the page.  Tables of
basic  statistics are  given  for three  averaging
periods,  viz.,  BY  YEAR,   BY  CROWING
SEASON,  and BY  MONTH.   Derivations of
statistics are explained below in  the "Summary
Statistics* section.  "0* indicates no occurrence, *-
• indicates missing data, and "0.1* refers to the
range of percent occurrences from 0.01 to 0.09.
The purpose of these tables is to provide the user
with some standard summary statistics describing
the frequency of occurrence of sulphur dioxide
concentrations.
                                                13

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              Summary Statistics

 The sulphur dioxide data are summarized  for
 three averaging periods, (1) January - December
 or  BY  YEAR;  (2) May - October  or BY
 GROWING   SEASON;   and    (3)   Months
 composited over years or BY MONTR  These
 averaging periods provide the user with a choice
 of resolution and allow integration of sulphur
 dioxide summary information with biological data
 at a variety of levels.  Percent  data capture is
 given for each summary period. Hourly data are
 considered valid if they are not missing. For the
 BY YEAR averaging period,

 % data capture - (# valid houn / * boun in a year) • 100.

 Usually a year has  8760  hours  and 365  days,
 although leap years have 8784 hours and 366 days.
 For  the BY  GROWING SEASON averaging
 period,

 % data capture - (* valid boun / 4416) • 100.

 The period May through October has 4416 hours
 and 184  days.  For the BY MONTH averaging
 period,

 % data capture - (# valid houn / (* yean with valid data for
             that month • * houn in that month) ) • 100.

 Months with 31 days have 744 hours, months with
 30 days have 720 hours, and February has 28 days
 and 672 hours during normal years and 29 days
 and 696 hours during leap years.
       Summary  statistics  are presented for  all
years, growing seasons, and months during which
valid hours of data were recorded. The data are
summarized   following   recommendations  of
Hogsett 
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                 4B. OZONE
                                                                    Atlas Format
 Ozone  is formed by  the  photolysis  of nitrogen
 oxides   in   the  presence   of  non-methane
 hydrocarbons.  Although nitrogen dioxide is the
 primary precursor of  ozone, nitric oxide  formed
 during the photolysis  reaction reacts rapidly with
 ozone  to form  nitrogen  dioxide and oxygen.
 Thus, nitric oxide and ozone do not co-exist in
 the  atmosphere  and  the  relationship between
 formation and scavenging processes determine
 ambient ozone concentrations (Finlayson-Pitts and
 Pitts 1986).
        Ozone is the only regionally dispersed
 pollutant known to injure foliage and lead to tree
 mortality  at   ambient  levels   (Miller   1973;
 Woodman 1987).  Ponderosa and Jeffrey! pine
 trees in the mixed conifer forests  of southern
 Sierra Nevada and San Bernardino Mountains in
 California exhibit, in  many cases, severe foliar
 injury.  Changes in ecosystem composition  and
 growth  rates have occurred  (e.g., Miller 1973;
 Peterson et aL 1989).  Visible damage attributable
 to ozone has not been recorded  in other forests
 of the West
        High  ozone  concentrations  do  occur
 downwind of most large urban complexes such as
 Seattle, WA; Salt Lake City, UT, Phoenix, AZ,
 and  Denver, CO (Behm 1989).  The interested
 reader is referred to Lefohn and Pinkerton (1988);
 Fehsenfeld et aL (1983);  Lefohn et al. (1990);
 Basabe et al. (1989); Edmonds and Basabe (1989);
 Baton (1990b).
               Sources of Data

Hourly  concentrations of ambient  ozone were
obtained from the EPA AIRS data base, from the
National  Park   Service  (NPS),  Washington
Department  of   Ecology,   and   Washington
University (through the Electric Power Research
Institute and Edmonds et aL (1989)).  To limit
uncertainties  associated   with    nonstandard
calibration   techniques   prior   to   EPA
standardization in 1979, the study period spans 01
January, 1980 through 31 December, 1989.  All
sites followed EPA calibration and monitoring
guidelines, although not all sites operated for the
entire study  period.
Data  tables are  presented alphabetically by site
and state (Appendix 3). The first page for each
site provides BIOGRAPHIC INFORMATION for
that site that is available in AIRS.  The site name
and state are clearly marked at the top  of the
page.  A map displaying the location of the site
together with locations of other ozone sites within
20 km of forests in that state is presented.  The
site under discussion is demarcated with  a star,
remaining sites are represented by a small circle.
Geographic  data  such as  latitude, longitude,
elevation of the  site in meters, and elevation of
the valley or basin floor in meters, are presented.
Information on  landuse  around  the  site,  on
population of the nearest city and of the region as
a whole (as defined in AIRS),  is  given.   The
period for which data were available is indicated.
The source of the data, together with AIRS codes
for AIRS sites, is given. The purpose of this page
is to provide the  user with spatial data and useful
auxiliary information about the site.
       The  second   page   presents  BASIC
STATISTICS for the site. Again the site name is
clearly marked at the top of the page. Tables of
basic  statistics  are given  for  three averaging
periods,  viz.,  BY YEAR,   BY   GROWING
SEASON, and  BY MONTR   Derivations of
statistics  are  explained  below  in "Summary
Statistics" section. *0" indicates no occurrence and
"•" indicates missing data.  The purpose of these
tables is to provide the user with some standard
summary statistics  describing the magnitude of
ozone concentrations and frequency of occurrence
of certain ozone  concentrations.
       The third page provides information on
DIURNAL  PATTERNS IN  HOURLY  OZONE
CONCENTRATIONS, or  on  the  dynamics of
ozone exposure.  The site name is clearly marked
at the top  of  the page.   Tables  of  percent
occurrence  of  patterns  (Behm et aL 1990) are
given for three averaging periods, viz., BY YEAR,
BY GROWING SEASON, and BY MONTH.
Derivations  of the information  are explained
below  in  "Summary  Statistics*  section.    "0"
indicates no occurrence and "-" indicates missing
data.  The purpose of these tables is to provide
detailed information on the diurnal and seasonal
characteristics'of the dynamics of ozone exposure
at the site.
                                               15

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        The  fourth page displays  the  shape  of
 DOMINANT DIURNAL PATTERNS IN HOURLY
 OZONE  CONCENTRATIONS  (MAY  . OCT)
 experienced during the growing season.  Again,
 the site name is clearly marked at the top of the
 page.  Derivation of the information is explained
 below in  'Summary  Statistics* section.   The
 purpose of these graphs is to provide a quick-look
 capability  for   both   magnitude  of  ozone
 experienced at a  site as well as dynamics  of
 exposure.
              Summary Statistics

Adverse ozone effects can occur at concentrations
above  60  ppb  (Pell  1974),  however  effects
generally  develop  after  short  exposures  to
concentrations greater than 80 ppb (Taylor 1973).
The response of vegetation to ozone is influenced
by  diurnal and seasonal  patterns in  exposure
(Hogsett et aL 1985), as well as by the magnitude
of ozone concentrations and length of exposure
(e.g., Tingey  and Taylor  1982;  Guderian 1985).
Summary statistics should be sensitive to these
characteristics of ozone exposure.
        The ozone data are summarized for three
averaging periods, (1) January • December or BY
YEAR; (2) May  - October  or  BY GROWING
SEASON; and (3) Months composited over years
or BY MONTH. These averaging periods provide
the user with a choice of resolution and  allow
integration of ozone summary information with
biological data at a variety of levels.  Some sites
were  not operational for the entire averaging
period.   Under  these  conditions, operational
months are included in parentheses  behind the
summary period heading.  Percent  data capture
and percent valid days are given for each summary
period.  Hourly data are considered valid if they
are not missing. A day is considered valid if 75%
of hours between 09:00  and  21:00  have valid
ozone data (Federal Register 1979). For the BY
YEAR averaging period,

% data capture - (# valid hours / # hours  in  a year) * 100.

% valid da}* - (* valid days / * days in a year) *100.

Usually a year has  8760  hours and 365 days,
although leap years have 8784 hours and 366 days.
For  the BY GROWING  SEASON averaging
period,
% data capture - (# valid hours / 4416) • 100.

% valid days = (* valid days / 184) • 100.

The period May through October has 4416 hours
and 184 days. If a site was not operational during
the entire averaging period, data  capture is still
calculated as described above, but  operational
months are listed  in parentheses behind  the
summary period heading.  For the BY MONTH
averaging period,

% data capture - (* valid hours / (# years with valid data for
            that month • * hours in that month) ) • 100.

% valid days - (# valid days / (« yean with valid data for
            that month • * days in that month) ) • 100.

Months with 31 days have 744 hours, months with
30 days have 720 hours, and February has 28 days
and  672 hours during normal years and 29 days
and 696 hours during leap years.

       BASIC  STATISTICS are given for each
averaging period, Lex, BY YEAR, BY GROWING
SEASON, and BY MONTH.  Missing data were
usually neither estimated nor  included in  the
calculations,  consequently data   captures  are
presented  for  each  summary  period.   A data
capture of 50% indicates that half of the available
data were valid  and were used to generate  the
summary statistics. Summary statistics associated
with low data captures are not  as representative
of the averaging period as are statistics associated
with high data captures. The user of this Atlas is
encouraged  to   compare  BY   YEAR,   BY
GROWING SEASON, and BY MONTH data
captures to obtain a feel for  the distribution of
missing data for a particular site.  The user  has
the  option  to  regard  or disregard summary
information for a given summary period based on
a level of uncertainty acceptable  to  that user.
Data captures   t 75%  are   often  considered
representative of the population (e.g., California
Air  Resources  Board 1987).   The following
statistics are tabulated:

1.5*.  10*.  25*.  50*,  75*. 90*.  and  95*
   percentiles  for  the  hourly data  over  the
   averaging period.  If the desired  percentile fell
   between two numbers, the arithmetic mean of
   the numbers was used as the percentile.
                                               16

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2. Arithmetic mean and standard deviation (ppb)
   for hourly data over the averaging period. The
   data for several sites are not continuous but
   are rather at discrete intervals of 5 or 10 ppb;
   for completeness, the  mean  and  standard
   deviation are reported for these sites.

3. Cumulative indices S06 and SOS (ppm hr):

   S06 - I [O3] 11000   where [O3] * 60 ppb.

   SOS - Z [Oj] / 1000   where [O3] * 80 ppb.

   Cumulative indices are sensitive  to  missing
   data.   If data captures  are less than 100%,
   cumulative indices may under-estimate reality
   depending on the distribution of missing hours.
   For  the  averaging  period  MONTH, the
   cumulative indices are normalized as follows:

   S06n - S06 • (# houn in that month) / (# valid noun).

   S08n « SOS • (# houn in that month) / (* valid boun).

   This approach assumes that the missing hours
   are uniformly distributed across the averaging
   period. In the event of no instrument failure,
   the missing hours are not uniformly distributed
   since span checks usually occur every 24 hours
   at  the same  time.   Normalized  cumulative
   indices for sites with data captures *96% (i.e.,
   missing data are only due to span checks) are
   thus probably over-estimates of reality. In the
   event  of instrument failure,  frequencies of
   occurrence  of  missing hours  are  often
   uniformly  distributed  and  the normalized
   cumulative   indices   are  probably  good
   surrogates of reality.  However, there  is  no
   means  of determining  if an  air  pollution
   episode occurred during  the period  of
   instrument failure.  If such an episode did
   occur, the normalized cumulative indices would
   under-estimate reality.  If lower ozone  levels
   occurred  during  the  period  of  instrument
   failure than  during  the remainder  of the
   averaging period, the converse is true.

   Cumulative indices for GROWING SEASON
   were not normalized.  We feel that a generic
   normalization routine applied to indices of
   long  averaging  periods  for all sites in the
   analysis increases uncertainty to the point that
   the index is of little value. The data presented
   for 806 and  SOS  under  BY  GROWING
   SEASON provide the user with a lower bound.
   We consider the uncertainty associated with
   this estimate to be proportional to the data
   capture reported for the  summary  period.
   Users who wish to estimate total cumulative
   indices for a particular site or time period are
   encouraged to pursue the missing data issue
   from the original data.

4. Percent  of  valid hours during the averaging
   period with ozone concentrations greater than
   or equal to 60,80,100, and 120 ppb. In some
   cases the cumulative indices are greater than 0
   although the percent valid hours for 60 and 80
   ppb are reported as "0*; the percent valid hours
   were actually between 0.0 and 0.5% and were
   thus rounded to "0". Missing data were neither
   estimated nor included in the calculation of the
   percentages.

5. The number of days with ozone concentrations
   1120 ppb were determined  from all the data
   in the averaging period, and not only from
   valid days.

       Summary information  presented  in  the
BASIC STATISTICS section provides biologists
with  insights   on  the  magnitude  of  ozone
concentrations and frequencies  of exposure  to
certain concentrations.  However, the response of
vegetation to ozone also appears to be influenced
by diurnal and  seasonal  patterns  in  exposure
(Hogsett et al. 1985,1988).  Thus, information on
DIURNAL  PATTERNS IN HOURLY OZONE
CONCENTRATIONS is given for each averaging
period,  Le.,  BY  YEAR,  BY   GROWING
SEASON, and BY MONTH. Seventeen diurnal
patterns in hourly ozone concentrations  can be
identified using data from western sites (Figure
4B.1; Bohm et al. 1990).  The patterns are labeled
following a letter-number combination describing
the shape of the curve (A - curve with very little
diurnal variation in hourly ozone concentrations;
E - curve with marked diurnal variations in hourly
ozone concentrations) and the magnitude of the
daily mean (1 • small daily mean; 5 - large daily
mean).  Each day  with  23 or 24 valid  hourly
ozone  concentrations  can  be  classified  against
these 17 patterns using a discriminant analysis and
a prior probability of 0.4.  The interested reader
                                               17

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 is referred to Behm et al. (1990) for a detailed
 description of the analysis.
        The percent occurrence of the 17 patterns
 is presented for averaging periods BY YEAR, BY
 GROWING   SEASON,   and   BY  MONTH.
 Percent unclassified  days, or days with diurnal
 patterns  in  hourly  ozone  concentrations not
 closely  associated  with  the  17  classification
 patterns (prior probability < 0.4 in discriminant
 analysis), is also given for each summary period.
 Detailed information on the characteristics of
 ozone oiposure is available from  these  tables.
 Firstly, siites far removed from pollution  source
 areas experience patterns with little  fluctuation in
 hourly ozone concentrations whereas sites close to
 pollution  source areas characteristically exhibit
 bell-shaped curves of ozone concentrations with
 maxima around the middle of the day.  Thus, the
 frequency  of occurrence  tables  can be used to
 identify subtle changes in ozone exposure at a site
 prior to there  being noticeable  changes  in the
 basic statistics.  Secondly, the tables can be used
 in a modelling framework. Detailed information
 on ozone:  exposure  can be recreated in the
 modelling  environment by simply using a 24 X 17
 matrix describing  the seventeen  classification
 patterns and a frequency of occurrence matrix for
 the site and period of interest Thirdly, responses
 of vegetatiion to ozone can be easily investigated
 at a monthly level, allowing integration of ozone
 exposure dynamics with phonological and  other
 biological or environmental information.
       A   visual interpretation of  the  most
 common   diurnal  patterns  in  hourly  ozone
concentrations  during  the  growing season is
 presented   in  the   DOMINANT  DIURNAL
 PATTERNS   IN   HOURLY   OZONE
 CONCENTRATIONS (MAY - OCT) section. The
graphs illustrate the average shape of the curve
 together with  one standard  deviation.  Curves
accounting for  up  to 75% of days during the
growing season are shown with the most common
curves at the base of the page.  An idea  of the
dynamics of ozone exposure is obtained with one
glance. Sites with very little fluctuation in ozone
concentrations,  such as Olympic National  Park,
require only  two patterns to describe 75% of
growing season days. Sites with widely fluctuating
ozone exposures, such as San Bernardino, require
five patterns to describe 75% of growing season
days.  Actual percent occurrences are available
from B. BY GROWING SEASON (All Years)
in the  DIURNAL  PATTERNS  IN  HOURLY
OZONE  CONCENTRATIONS section  of the
previous page.
                                               18

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                                                            Hour of Day
Figure 4B.1 Seventeen calibration patterns of hourly ozone concentrations (ppb) for sites in or near western forests (after Bohm et at.

1990). The graphs are arranged by mean (smallest to left of plot, numbered 1 to 5) and coefficient of variation (lowest towards top

of plot, lettered A to E).

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4C. WET DEPOSITION FROM RAIN AND SNOW
               Sources of Data
 The chemistry of rain and snow and deposition of
 acidic ions are monitored near several forested
 areas  across  the West as pan  of the National
 Atmospheric Deposition Program/National Trends
 Network  ((NADP/NTN).    Volume  weighted
 average pH varies from 4.7 in southern Arizona
 and New Mexico, 5.0 in  southern  California,
 western Washington, and the Southwest including
 parts  of Colorado, to 53 in eastern Oregon,
 Idaho,  and  Montana  (Figure  4Clb).   Mean
 weekly pH values range from 4.6 to 5.4. Volume
 weighted sulphate concentrations (as SO/-) are
 generally less than 1 mg/L although mean weekly
 concentrations  range  from  0.5 to  15  mg/L.
 Annual sulphate deposition ranges from 1 to
 8 kg/ha (Figure 4Clc).  Volume weighted nitrate
 concentrations (as NO/) are generally  less than
 1 mg/L although  mean  weekly concentrations
 range  from 0.2 to 4.1 mg/L.   Annual nitrate
 deposition ranges  from 1  to  5 kg/ha (Figure
 4Cle).  Higher concentrations  of  sulphate and
 nitrate occur  at sites close to  point sources or
 large urban settlements (Bohm 1989).   Temporal
 patterns in deposition  are related to seasonal
 patterns  in  precipitation.   In  general,  most
 deposition to forested areas in the West occurs
 during the winter in the form of snow.
        The ionic concentrations and depositions
 of precipitation in the  West  are 15-25%  of
 eastern  values.   Depositions of  sulphate  and
 nitrate at high elevations in the West are largely
 unknown and may be larger than at low  elevations
 where the sites are located, since high  elevations
 usually  receive more  precipitation   than  low
 elevation sites.
        The  interested reader  is  referred  to
 Dawson (1978), Leonard  and Goldman  (1981),
 Liljestrand and  Morgan (1982), Nagamoto et aL
 (1983), Harte et al. (1985), Vong et al. (1985),
 Galbraith (1986), Hidy and Young  (1986), Popp
 and Long (1986), Sharpless (1986), Stohlgren and
 Parsons (1987), B*hm (1989), Vong (1990) and to
 the  Annual  Reports  of NADP/NTN  for more
 detailed information on acid deposition in the
 United  States   (e.g.,  National   Atmospheric
 Deposition Program 1989).
Chemistry and deposition estimates were obtained
from the NADP/NTN  Coordination Office  at
Colorado State University (National Atmospheric
Deposition  Program  (IR-7)/National  Trends
Network 1990).   Deposition estimates  do not
cany the same  level of confidence as do the
chemical  concentrations,   since  precipitation
volume data  are  not subjected to  the  same
rigorous  quality  assurance tests as precipitation
chemistry data.   Deposition  values  may also
underestimate actual loadings because they are
not adjusted for the  percentage of the summary
period for which precipitation amounts were not
available from the rain gauge  or sampler.   It
should also be mentioned that there are various
problems with  sample integrity when using weekly
sampling  periods  (e.g., Galloway and Likens
1976). Hydrogen ion and ammonium values may
be underestimated  due to changes in chemistry
between the end of the event and analysis of the
sample.
                Atlas Format

Data tables are presented alphabetically by site
and state (Appendix 4). The first page for each
site provides BIOGRAPHIC INFORMATION for
that  site  that  is  available  in Robertson and
Wojtiechowski (1986)  and National Atmospheric
Deposition Program (1990).  The site name and
state are clearly marked at the top of the page.
A map displaying the location of the site together
with locations of other NADP/NTN sites within
20 km  of forests in that state is presented.  The
site under discussion is demarcated with  a star,
remaining sites are represented by a small circle.
Geographic data such  as latitude, longitude, and
elevation of  the site  in meters are presented.
Information on landuse around the site and the
period  for which data were available is given.
The source of the data, together with NADP/NTN
identification  code, is indicated. The purpose of
this page is to provide the user with spatial data
and useful auxiliary information about the site.
       The  second   page  presents  BASIC
STATISTICS  for the site. Again the site name is
clearly  marked at the top of the page. The first
table   presents    percentiles   for   weekly
concentrations (mg/L)  for each year together with
                                                20

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total  precipitation  measured during  that year.
The  second  table presents volume  weighted
averages (mg/L) and deposition estimates (kg/ha)
for each year and for winter (December through
February) and summer (June through August)
summary periods within that year.  Data for pH,
sulphate, nitrate,  and  ammonium are given  in
both tables. Derivations of statistics are explained
below in 'Summary   Statistics'  section.    V
indicates no occurrence and '-' indicates missing
data.  The purpose of  these tables is to provide
the user with some standard summary statistics
describing precipitation chemistry and deposition
during summer, winter, and over the year as a
whole. Similar information for chloride, calcium,
potassium, magnesium,  aluminium, and sodium is
available from  the NADP/NTN  Coordination
Office at  Colorado  State  University.    The
NADP/NTN  summaries   present   additional
information that may be of use to the interested
reader.
             Summary Statistics

Samples are  considered valid for precipitation
chemistry  if  all of  the following  criteria  are
satisfied   (National   Atmospheric   Deposition
Program 1989):

1. NADP/NTN  criteria for site location, sample
  collection  and  handling,  and measurement
  protocols are satisfied.

2. The sampling interval is 6-8 days.

3. There is a rain gauge depth or sample volume
  reported for the sample.

4. The sample consists of Vetonly" deposition,
  i.e., it was not exposed to dry deposition during
  the sampling interval.

5. A complete set  of chemical measurements is
  reported for the sample.

6. The sample is not contaminated

Calculations of ion concentration and deposition
statistics are  limited to samples that meet  the
above criteria.  Four completeness criteria form
the basis for the decision to include the data from
a site in the seasonal and annual summary tables
(National Atmospheric Deposition Program 1989):

1. There must be valid samples  for at least 75%
   of the summary period.

2. For at least 90% of the summary period, there
   must be precipitation amounts (including zero
   amounts) either  from the rain gauge or from
   the sample volume.

3. There must be valid samples  for at least 75%
   of the total precipitation amount reported for
   the summary period.

4. For the  entire  summary  period,  the  total
   precipitation as  measured from the sample
   volume must  be at  least 75%  of the total
   precipitation measured by the rain gauge for
   all valid  samples  where  both values  are
   available.

It is important to recognize that  if all the criteria
were satisfied at the lower limit of acceptability,
the summary could still account for less than 75%
of the actual precipitation at a site. This could
occur because the 90%  precipitation coverage
criterion is based on time and there may be no
record of the amount of  precipitation missed
during the unsampled 10% of the period. Where
the precipitation coverage is 100% however, these
criteria  ensure  that at   least 75%   of  the
precipitation  is  represented  by valid  samples
(National Atmospheric Deposition Program 1989).
The  interested  reader   is  referred  to   the
NADP/NTN Coordination  Office  at  Colorado
State University for  more information on data
analysis and interpretation.
       Only data for sites and years included in
NADP/NTN Annual Summaries  are presented in
this  Atlas.   The following  BASIC  STATISTICS
are given for each averaging period:

1. 25*,  50*. 75"1, and 90* percentiles together
   with the maximum value for weekly data over
   the  averaging period.   Missing  data  were
   neither   estimated  nor  included  in   the
   calculation of the percentiles.  If the desired
   percentile  fell between  two numbers,  the
   arithmetic average was used as the percentile.
                                               21

-------
2. Volume weighted  averages for the  averaging
   period:

        X = (z q Pi) I (r P|)

   where c, is  the concentration  (mg/L) for the
   ionic species of interest for the P* week and P/
   is the precipitation amount  for the r* week.
   The quantity of precipitation measured by the
   rain gauge is usually greater than that captured
   in the sampler bucket  NADP/NTN considers
   the rain gauge measurement to be the best
   estimate of precipitation  amount, thus rain
   gauge rather than sample volume amounts are
   used   when  calculating  volume  weighted
   averages.  It is assumed that the chemistry of
   the sample, determined from water collected
   in the sample bucket, represents the chemistry
   for the entire precipitation event

3. Deposition is calculated from the product of
   the volume weighted mean concentration and
   the  total  measured  precipitation  for  the
   averaging period.  Deposition values were not
   adjusted  for the percentage  of the  summary
   period for which precipitation amounts were
   not  available  from the  rain  gauge or  the
   sampler.   Measured deposition values  may
   underestimate actual wet deposition.
                                               22

-------
             a. Mean anniul precipiutkxi (cm)
b. Annual volume weighted avenge pH
           c Mean annual tulbte depoMtkxi
 
-------
      5. SUMMARY AND CONCLUSIONS
          6.  ACKNOWLEDGEMENTS
 An Atlas of air quality and deposition has been
 compiled!  to   make  air   pollution   data  and
 information more  accessible  to biologists  and
 ecologists working  in  western  forests.   Hie
 information   is   presented   in   an   easy-to-
 comprehend format that gives both  geographic
 and summary  data  on emissions of sulphur and
 nitrogen dioxides, on ambient concentrations of
 sulphur  dioxide,   ozone,   and   precipitation
 chemistry, and on wet deposition of acidic ions at
 sites  located within 20 km of forest  ecoregions
 within the West  The Atlas also directs users to
 the original sources of the data.
        The Atlas  should be used as a 'quick
 look*  reference.  It is inevitable  that as  more
 atmospheric and biological data become available
 and  as our  knowledge  of  atmosphere-forest
 interactions  increases, both  the  data  bases and
 analytical approaches presented in this document
 will  become outdated.   A shortcoming of this
 Atlas and numeric  analysis of large data sets in
 general,  is   treatment   of  missing  values.
 Additional   research  is  required   to  better
 characterize  the distributions of missing data and
 their  influence  on the accuracy and precision of
 reported estimates.
        Scientists addressing specific questions on
 the response  of forests  to  air pollutants  are
 encouraged  to monitor air  pollutants in  the
 forests  of interest   For example,  most of the
 sulphur dioxide and ozone sites used in this Atlas
 were not located in forests.   Very little is known
 about extrapolating air pollution information from
 valleys  and  non-forested areas  to forests and
within forests, especially when the forests occur in
 complex terrain.
        It  is important  to note that the  data
 presented in this Atlas merely characterize the
 chemical nature of air that may be in contact with
 forests close to the monitoring sites and not the
 uptake of pollutants by the forest ecosystem. We
reiterate a  statement made  previously in  the
document, "We wish  to  stress that summary
statistics in this Atlas are not linked to biological
effects until biologists apply the air quality data to
 their research or apply the information based on
 their research.*
This Atlas would never have materialized without
support and contributions from many people and
institutions, especially NADP/NTN.  The original
idea for a data Atlas, and  the format of this
document was derived after numerous interactions
with   NADP/NTN    personnel    in    various
Subcommittees.  Special thanks to the personnel
of AIRS, NEDS, University of Washington, EPRI,
NFS, and  State Departments of Air Quality for
their time and effort in preparing the emissions
and ozone  data,  and  to   Allen  Lefohn  for
analyzing the sulphur dioxide data.  We would
also like to thank our reviewers for taking  the
time  to carefully  review such  a  cumbersome
document  Their comments provided  us with
much food-for-thought and served  to produce a
more comprehensible document
           7.  LITERATURE CITED

Basabe FA, Edmonds RL, and Lanon TV (1989) Regional
ozone in western Washington and southwest British Columbia.
Proceedings of the 82nd Annual Meeting and Exhibition of the
Air and Waste Management Association, Anaheim, California,
June 25-30

Behm M (1989) A regional characterization of air quality and
deposition  in the  coniferous forests of the western  United
States, pp. 221-244. In Olson RK and Lefohn AS (eds) Effects
of Air Pollution on Western Forests, Transactions Series No.
16, ISSN 1040-8177, pp. 577

Behm M, McCune B, and Vandetta T (1990) Diurnal curves
of tropospheric ozone hi the western United States. Accepted
Atmospheric Environment.

Behm M (1990a) Air  quality and  deposition in the mixed
conifer forests of southern California pp. 25-70. In Miller JM,
Miller PM, and Behm M (eds) Current and projected effects
of air pollutants on ponderosa pine and mixed conifer forests
in the central and southern Sierra Nevada and San Bernardino
Mountains, California.  Final Report  to Western Conifers
Research Cooperative,  Available  from EPA Environmental
Research Laboratory, 200 SW 35th  Street, Corvallis,  OR
97333.

Behm M (1990b)  Chapter 3: Air  Quality and Deposition. In
BinUey D, Olson RK, and Behm M (eds) Air Pollution and
Western Forests, Springer-Veriag, Submitted December 1990

Bytnerowkz A, Miller PR, Olszyk DM, Dawson  PJ, and Fox
CA (1987) Gaseous and paniculate air pollution in the San
Gabriel Mountains  of southern California.  Atmospheric
Environment, 21(8):1805-18U
                                                  24

-------
 California Air Resources Board (1987) Annual summary of
 1987 air quality  data: Gaseous  «nd  paniculate  pollutants.
 Technical Support Division, P.O. Box 2815, Sacramento, CA
 95812

 Cobb FW Jnr., Wood DL, Start RW, and Panoeter JR Jnr.
 (1968)  Photochemical  oridant  injury   and  bark  beetle
 (ColeopteraScorylidae) infestation  of ponderou  pine. IV.
 Theory on  the relationship  between oridant injury and baric
 beetle infestation. Hilgardia, 39(6>141-152

 Dawson CA (1978) tank compocition of nin during sixteen
 convcctive (bowers. Atmospheric Environment, 121991-1999

 Edmonds RL, Basabe FA, and Larson TV (1989) Pollution
 Gradient Studies in (he Puget Sound Region and Evaluation of
 Existing Conifer  Plot Data for Correlative Studies. Final
 Report to Western Conifer* Research Cooperative, Available
 from EPA Environmental Research  Laboratory, 200 SW 35th
 Street, Corvallis, OR 97333.

 Edmonds RL  and Basabe FA (1989)  Ozone concentrations
 above a  Douglas-fir forest  canopy in western Washington.
 Atmospheric Environment 23(3):625-629

 Federal Register (1979) VoL 44, No. 28, Thursday 08 February

 Fehsenfeld  FC, Bellinger MJ,  Liu SC,  Parrish D, McFartand
 M, Trainer  M, Kley D, Murphy PC, Albritton DL (1983) A
 study of ozone  in the  Colorado  Mountains.  Journal  of
 Atmospheric Chemistry, 1:87-105

 Finlayson-Pitts  BJ  and  Pitts JN  Jr (1986)  Atmospheric
 Chemistry: Fundamentals and Experimental Techniques. John
 Wiley & Sons Inc. New York, pp. 1098

 Flocchini RG, Cahill  TA,  Ashbaugh  LL, and Eldred  RA
 (1981 a) Seasonal behavior of paniculate matter at three rural
 Utah sites. Atmospheric Environment, 15315-320

 Flocchini RG,  CahOI TA, Pitchford ML, Eldred RA, Feeney
 PJ, and Ashbaugh LL (1981b)  Characterization of panidcs in
 the arid west. Atmospheric Environment, 15(10/11):2017-2030

 Galbraith  AF  (1986)  Acid   deposition  in  the Bridger
 Wilderness: First year results, AQRV Monitoring Report No,
 1, June 2, 1986

 Galloway JN and Likens GE (1976) Calibration of collection
 procedures  for the determination of precipitation chemistry.
Journal of Water, Air, and Soil Pollution, 6:241-258

Guderian R (ed) (1985) Air pollution  by photochemical
oxidants: Formation, transport, control, and effects on plants.
Springer-Veriag Ecological Series Volume 52, Berlin, pp. 346

Kane J, Lockett  GP, Schneider  RA,  Blanchard C, and
Micheab H (1985) Acid  precipitation and surface  water
vulnerability on the western  slope of the High  Colorado
Rockies. Water, Air, and Soil Pollution 25313-320

Heck WW  and  Brandt CS (1977) Effects on vegetation:
Native, crops, forests pp. 158-229. Stem AC (ed) (1977) Air
Pollution, Third Edition, Academic Press, New York, pp. 684
Heck WW, Cure WW, Rawlings JO, Zaragosa LF, Heagle AS,
Heggestad HE, Kohut RJ, Kress LW, and Temple PJ (1984)
Assessing  impacts of ozone on agricultural crops.  II. Crop
yield functions and alternative exposure statistics. Journal of
Air Pollution Control Association, 34:810-817

Hidy CM and Young JR (1986) Acid deposition and the West:
A scientific assessment, ERT Document No. P-D572-503,
March

Hogsett WE,  Tuigey  DT,  and  Holman  SR (1985)  A
programmable exposure control system for determination of
the effects of pollutant exposure regimes on  plant growth.
Atmospheric Environment, 19:1135-1145

Hogsett WE, Olszyk D, Ormrod DP, Taylor GE, and Tingey
DT (1987) Air Pollution Exposure Systems and Experimental
Protocols - Volume 1: A review and evaluation of performance.
EPA  600/3-87/037*.  Environmental  Research Laboratory,
Office of Research and Development, Corvallis, Oregon 97333

Hogsett WE, Tingey DT, and Lee EH (1988) Ozone exposure
indices: Concepts for development and evaluation of their use,
pp. 107-138. In Heck WW, Taylor OC, and Tingey DT (eds)
Assessment of Crop Loss from Air Pollutants, Elsevier Science
Publishers, New York, pp. 552

Jacob  DJ, Shair FH, Waldman   JM,  Munger JW, and
Hoffmann  MR (1987) Transport and oxidation of SO2 in a
stagnant foggy valley. Atmospheric  Environment, 21(6):1305-
1314

Knudson DA (1986) Estimated monthly emissions of sulphur
dioxide and oxides of nitrogen for the 48 contiguous States,
1975-1984, Vote. 1  and Z Argonne  National Laboratory,
Report ANL/EES-TM-318.

Krupa SV and Kkkert RN (1987) An analysis of numerical
models  of air  pollutant exposure  and vegetation response.
Environmental Pollution, 44:127-158

Kuchler AW (1975) Map "Potential Natural Vegetation of the
Conterminous   United   States,   1:3,168,000".   American
Geographic Society  (Special Publication * 36), Broadway,
156th Street, New York, NY 10032, Lithographed by A. Hoen
& Ox, Inc, Baltimore, Maryland

Langstaff JE and Wagner JK (1986) Estimation of uncertainty
for the 1980 NAPAP emissions inventory. EPA-600/7-66-055,
pp. 253

Last F and Rennie P (1982) Forest changes open  meeting
No.  3.  Stockholm   Conference  on Acidification  of  the
Environment,  June 20-30, 1982 (Swedish Ministry  of  the
Environment)

Lee EH, Tingey DT, and Hogsett WE (1988)  Evaluation of
ozone  exposure indices   in  exposure-response  modeling.
Environmental Pollution, 53:43-62

Lefohn  AS and Benedict HM (1982)  Development of a
mathematical  index  that  describes  ozone  concentration,
frequency   and  duration.    Atmospheric   Environment,
16(10):2529-2532
                                                          25

-------
 Lefohh AS, Hogsett WE, and Tingey DT (1986) A method for
 developing ozone exposures (hat mimic ambient conditions in
 agricultural areas. Atmospheric Environment, 20(2):361-366

 Lefohn AS and Runeckles VC (1987) Establishing standards
 to protect: vegetation - ozone exposure/dose considerations.
 Atmospheric Environment, 21(3)^61-568

 Lefohn AS!, Davis CE, Jones CK, Tingey DT, and Hogsett WE
 (1987) Co-occurrence patterns of gaseous air pollutant pain at
 different  minimum  concentrations  in the  United States.
 Atmospheric Environment, 21(ll):2435-2444

 Lefohn  AS and Pinkerton JE  (1988) High  resolution
 characterization of ozone data for sites located in forested
 areas of the United States. Journal of Air Pollution Control
 Association, 38:1504-1511

 Lefohn AS and Benkovitz C (1990) Air Quality Measurements
 and Characterizations for Effects Research, Stale of Science
 Paper No. 7. National Acid Precipitation Assessment Program,
 Washington DC

 Lefohn AS, Knipa SV, and Winstanley D (1990) Surface ozone
 exposures measured  at dean  locations around  the world.
 Environmental Pollution, 63:189-224

 Leonard RL and Goldman CR (1981) Some measurements of
 the pH and chemistry at Davis and  Lake Tahoe, California.
 Water, Air,  and Soil Pollution, 15:153-167

 Uljestrand HM and  Morgan JJ (1982) Spatial variations of
 acid  precipitation in  southern  California.  Environmental
 Science and Technology, 15(3)333-339

 Linak  WP  and  Peterson TW  (1983)  Visibility-pollutant
 relationships in southern Arizona  - IL A winter/summer field
 study. Atmospheric Environment 17(9):181I-1823

 Macias ES arid Zwicker JO (1981) Regional haze case studies
 in the southwestern US - L  Aerosol chemistry composition.
 Atmospheric Environment, 15(10/11>-197M986

 McBean GA and Nikleva  S (1986) Composition of snow in
Pacific  coastal  mountains.  Atmospheric   Environment,
 20(6):116M164

McLaughlin  SB (1981) SO2, vegetation effects, and the air
quality standard: Limits of interpretation and application. A
Specialty Conference on  the Proposed  SO, and Paniculate
Standard, Air Pollution Control Association, Atlanta Georgia

Messer JJ (IKS) Geochemically alkaline snowpack in northern
Utah mountains in spring of 1982. Atmospheric Environment,
 17(5):1051-10S4

Miller PR, Panneter JR, Taylor OC, and Cardiff EA (1963)
Ozone  injury   to   the  foliage   of  Pinus  ponderosa.
Phytopathology, 53:1072-1076
      Miller PR (1973) Ondant-induced community change in a
      mixed conifer forest,  pp. 101-137. In Naegele JA (ed) Air
      Pollution Damage to Vegetation. Advances in Chemistry Series
      122, American Chemical Society,  Washington DC, pp. 129

      Miller PR, Taylor OC, and Poe MP (1986) Spatial variation of
      summer  ozone   concentrations   in  the  San  Bernardino
      Mountains. Proceedings 79th  Annual at the 79th  Annual
      Meeting of the Air Pollution Control Association, Minneapolis,
      Minnesota, June 22-27,1986

      Miller PR, McBridc JR, Schilling SL, and Gomez AP (1989)
      Trend of ozone damage to conifer forests between 1974 and
      1988 in the San Bernardino Mountains of southern California
      pp. 309-323. In Olson  RK and Lefohn AS (eds) Transactions
      of the Symposium on the Effects of Air Pollution on Western
      Forests. Air and Waste Management Association, Transactions
      Series No. 16, ISSN 10404177, pp. 577

      Muir PS and Bahm M (1989) Cloud chemistry and occurrence
      in the western United States: A synopsis of current information
      pp. 73-101. In Olson RK and Lefohn AS (eds) Effects of Air
      Pollution on  Western Forests, Transactions Series No. 16,
      ISSN  10404177, pp. 577

      Munger JW, Collet! J, Daube B, and Hoffmann MR (1990)
      Fogwater  chemistry at  Riverside, California.  Atmospheric
      Environment 24B(2): 185-205

      Nagamoto CT,  Parungo F, Reinking R, Pueschel R, and
      Gerish T (1983)  Acid clouds and precipitation  in  eastern
      Colorado. Atmospheric Environment 17(6):1073-1082

      National Atmospheric Deposition Program (1989) NADP/NTN
      Annual Data Summary: Precipitation chemistry in the United
      Slates 1988. Natural Resource Ecology Laboratory, Colorado
      State University, Fort Collins, CO, pp. 379

      National Atmospheric Deposition  Program (1990) Updates to
      the  1986  Directory  of  Precipitation  Monitoring  Sites.
      NADP/NTN Coordination  Office. May 30, 1989.  Natural
      Resource Ecology Laboratory, Colorado Slate University, Fort
      Collins, CO 80523

      National  Atmospheric Deposition Program (IR-7)/National
      Trends  Network   (1990)  Data   Tape  17  August,  1990.
      NADP/NTN Coordination Office, Natural Resource Ecology
      Laboratory, Colorado Slate University, Fort Collins, CO 80523

      National Atlas of  the United Slates of America (1970) Map
      "Major  Forest  Types,  1:   7,500,000,  pp.  154-155.  US.
      Department of the Interior,  Geological Survey

      NEDS - National Emissions  Data  System Emissions Inventory
      (1985) Data Tape. Available from National Air Data Branch,
      EPA Research Triangle Park, NC 27709

      Oke TR  (1987)  Boundary Layer  Climates 2nd  Edition.
      Methuen  & Co Ltd., London, pp. 435

      Oliver CD (1981) Forest  development  in  North America
      following major disturbances. Forest Ecology and Management,
      3:153-168
26

-------
 Olson RK (1990) Chapter 1: Physiography and Fores! Types.
 In Binldey D, Olson RK, and Behm M (eds) Air Pollution «nd
 Western Forests, Springer-Vertag, Submitted December 1990

 Olszyk  DM,  Bytnerowicz  A,  and  Takemoto  BK  (1989)
 Photochemical ootidant pollution and vegetation: Effects of
 mixtures of gases, fog and panicles. Environmental Pollution,
 61:11-29

 Omerick JM and Gallant AL (1986) Maps *Ecoregiooi of the
 Conterminous United Slates, 1:2^00,000. U.S. Government
 Printing Office, Available from EPA Environmental Research
 Laboratory, 200 SW 35th Street, Corvallis, OR 97333

 Omerick JM (1987) Ecorcgion*  of the Conterminous United
 States. Annals of the Association of American Geographers,
 77(1):118-125

 Pedersen BS  (1989) Ozone injury to Jeffrey and ponderosa
 pines surrounding Lake Tahoe, California and Nevada pp. 279-
 292. In  Olson RK and Lefohn  AS  (eds)  Effects  of Air
 Pollution on  Western Forests, Transactions  Series No. 16,
 ISSN 1040-8177, pp. 577

 Pell  EJ (1974) The impact of ozone on the bioenergetici of
 plant systems. In Dugger M (ed) Air Pollution Effecu on Plant
 Growth. Washington, DC, American Chemical Society, ASC
 Symposium Series (3):106-114

 Peterson DL, Arbaugh MI, and Robinson LJ (1989) Ozone
 injury and growth  trends  of ponderosa pine in  the  Sierra
 Nevada pp.  293-307.  In  Olson RK and Lefohn  AS  (eds)
 Effecu of Air Pollution  on Western  Forests,  Transactions
 Series No. 16,  ISSN 1040-8177, pp. 577

 Placet M and Streets DC (1987)  NAPAP Interim Assessment:
 The  causes and effect*  of  acid  precipitation, Volume  Ik
 Emissions and Control.  NAPAP Headquarters, Washington
 DC, pp. 243

 Popp CJ and Long A (1986) Acidic effect* in Western North
 America - Trends, sources, and altitude effects in New Mexico
 1979-1985. Water, Air, and Soil Pollution, 30:125-133

 Puzak JC and McEIroy FF (1987) The EPA's  role in the
 quality assurance of ambient  air pollutant  measurements.
 Special Technical Publication, American Society for Testing
 Materials, 957:87-100

 Reams GA, Vong RJ, Bohm M, Mattsom KG, and Arnaut LY
 (1990) Extent  and magnitude of recent  changes in  forest
 condition and the role of air pollution and non-air pollution
 factors.  Major Program Output 1&2, EPA/600/3-90AM2, VS.
 Environmental Protection Agency, Environmental Research,
 Corvallis, OR

 Reddy MM and  Oaassen HC (1985) Estimates of average
 major ion concentrations in bulk precipitation at two high-
altitude sites  near the  Continental  Divide  in  Colorado.
Atmospheric Environment, 19(7):1199-1203

 Reuss JO and Johnson DW (1986) Acid Deposition and the
Acidification of Soils and Waters. Springer-Verlag, New York,
 PP- 119
Robertson JK and  Wojcjechowski  D  (1986) Directory  of
Precipiution  Monitoring  Sites.  NADP/NTN  Coordination
Office, Natural Resource Ecology Laboratory, Colorado State
University, Fort Collins, CO 80523

Roth P, Blanchard C, Kane J, Micheab H, and EI-Ashry MT
(1985) The American West's acid rain test. Research Report
#1, World Resources Institute, pp. 50

Sellan FM  and Norris WB (1989) Uncertainties in the
NAPAP 1985 emission inventory. 82nd Annual Meeting and
Exhibition of the Air and Waste Management Association,
paper no. 89-24.2, Anaheim, CA, June 25-30

Sharpies* J (chairwoman) ((966) The Fourth Annual Report
to the Governor and the Legislature on the Air Resources
Board's Acid Deposition Research and  Monitoring Program,
December, 1986.

Sttterton DL, Bowertox BC, Meyers TP. OUen AR, and Vong
RL (1990) Deposition Monitoring - Methods and Results,
State of Science Paper No. 6. National Add Precipitation
Assessment Program, Washington DC

Skelly JM, Davis DD, Merrill W, Cameron EA, Brown  HD,
Drummond DB, and Dochinger LS (1987) Diagnosing Injury
to Eastern Forests.  National Acid Precipitation Assessment
Program Publication, Washington D.C, pp. 122

Stark RW, Miller PR, Cobb FW Jnr., Wood DL, and Parmeter
JR Jnr. (1968) Photochemical oridant injury and bark beetle
(Coleopten:Scolytidae)  infestation  of   ponderosa  pine.  L
Incidence of bark beetle infestation in injured trees. Hilgardia,
39(6):121-126

Stohlgren  TJ  and   Parsons  DJ  (1987) Variation  of wet
deposition chemistry in Sequoia  National Park, California.
Atmospheric  Environment 21(6):1369-1374

Tabatabai  MA (1985) Effect of acid rain on  soils. Critical
Reviewi in Environmental Control, 15:65-110

Taylor OC (ed) (1973)  Oxidant  air pollution effects on a
western coniferous forest ecosystem. Task B Report, University
of California Air Pollution Research Center, Riverside, CA

Thomas E and Buseck PR (1983) Characterization of a rural
aerosol  from eastern  Arizona.  Atmospheric  Environment,
17(11):2299-2301

Tingey DT and Taylor GE (1982) Variation in plant response
to ozone: A conceptual model of physiological events pp. 113-
138.  In Unsworth MH and  Ormond (eds)  Effect* of Air
Pollution  in Agriculture  and   Horticulture,  Butterworth
Scientific, London, pp. 532

Tingey DT, Hogsett WE, and Lee EH (1989) Analysis of crop
loss for alternative  ozone exposure  indices, pp. 219-227.  In
Schneider T, Lee SD, Wolters GJR, and Grant LD (eds)
Atmospheric Ozone Research  and  iu  Policy Implications,
Elsevier Science Publishers, Amsterdam,  pp. 1048
                                                          27

-------
 Turk JT and Adams DB (1983) Sensitivity to acidification of
 lakes in the flat  tops Wilderness  Area, Colorado.  Water
 Resources Research, 19(2):346-350

 Turk JT and Campbell DH (1987) Estimates of acidification
 of lakes in the ML Zirfcel Wilderness Area, Colorado. Water
 Resources Research, 23<9):1757-1761

 Vong RJ, Lanon TV, Coven DS, and Waggoner AP (1985)
 Measurement   and   modeling  of  western  Washington
 precipitation chemistry. Water, Air, and Soil Pollution,
 26:71-84

 Vong   RJ  (11990)  Mid-Latitude  Northern  Hemisphere
 background sulfate concentration in rainwater. Atmospheric
 Environment, 24A(S):1007-1018

 von  Lehmden  DJ and Nelson K  (1977) Quality Assurance
 Handbook for Air Pollution Measurement Systems. VoL 2.
 Ambient Air Specific Methods. Revision 1.
 EPA-600/4-77-027A1. pp. 279

 Wagner JK,  Walters RA, Maiocco LJ, and Neal DR (1986)
 Development of the 1980 NAPAP Emissions Inventory. CCA
 Corp., Report GCA-TR-86-12-G

 Warren  WG, Bfthm M, and Link DA (1990) A methodology
 (or investigating effects of elevation on precipitation chemistry.
 Atmospheric Environment (Submitted)

 Washington State Department of Ecology Air Programs (1989)
 Washington  State Air Monitoring Data  for  1989. State of
 Washington,  IDepartment  of Ecology, Olympia, Washington
98504-8711, pp. 108

Whitney (1985) The Audubon Society nature guides: Western
Forests.  Chanticleer Press, Inc., New York, ISBN 0-394-73127,
pp.671

Woodman JN  (1987)  Pollution induced injury  to North
American forests: Facts and suspicions. Tree Physiology,
3:1-15
                                                          28

-------
          APPENDIX 1
EMISSIONS INFORMATION BY STATE
              29

-------
Location 4  Magnitude of  Major  S02 Point  Sources  for Arizona
O Metal Industry
• Electric Generation
A Petroleum Industry
A Chemical Processes
^ Industrial Fuel Use
^ Mineral Products
<4> Other
      100 -  1000
     1001 -  10000
    10001 -  100000

Emissions (Mg/year)
                       ICUt • 1:5.750,000

-------
 Locotion  ft Magnitude  of Major N02  Point  Sources  for  Arizona
O  Metal Industry
0  Electric Generation
&  Petroleum Industry
±  Chemical Processes
•  Industrial Fuel Use
  Mineral Products
(D  Other
•     too - 1000
     tooi - 10000
    10001 - 100000

Emissions (Mg/year)
                           . 1:1.750,COO

-------
 Percent Contribution by Industrial  Activities  to
Total Point Source Emissions in  Arizona for 1985
          S02(*)
           74.7
           17.0
            0.0
            7.8
            0.0
            0.2
            0.3
  Legend
Metal Industry
Electric Generation
Petroleum Industry
Chemical Processes
Industrial Fuel Use
Mineral Products
Other
 0.7
96.4
 0.1
 0.0
 0.8
 0.5
 1.5

-------
Locotion ft  Mognitude  of Major S02  Point  Sources  for California
  O  Metal Industry
  •  Electric Generation
  A  Petroleum Industry
  A.  Chemical Processes
  ^  Industrial Fuel Use
  O  Mineral Products
  0  Other
•    too - 1000
    lOOt - 10000
   10001 - 100000

Emissions (Mg/ycar)
SCIlt = 1 :S.SOC.000

-------
Location A  Magnitude of  Major  N02 Point  Sources  for  California
  O Metal Industry
  • Electric Generation
  A Petroleum Industry
  A Chemical Processes
  + Industrial Fuel Use
  ® Mineral Products
  0 Other
•     100  -  1000
     1001  -  10000
    10001  -  100000

Emissions (Mg/ycar)
3C1LI . 1:5.Set,CtO

-------
  Percent Contribution by Industrial Activities  to
Total Point Source Emissions in  California for  1985
           S02(K)
             0.2
             5.8
            41.8
             5.3
            34.1
             9.3
             3.5
   Legend
Metal Industry
Electric Generation
Petroleum Industry
Chemical Processes
Industrial Fuel Use
Mineral Products
Other
N0
  0.2
  21.8
  12.0
  0.8
  48.7
  12.8
  3.7

-------
Location  & Magnitude  of  Major  S02  Point Sources  for  Colorado
                                    «f
O  Metal Industry
•  Electric Generation       •    100 - 10DO
A  Petroleum Industry       ^   1001 - 10000
A  Chemical Processes      £  10001 - 100000     "    •  w. "     "
    Industrial Fuel Use
    Mineral Products         Emissions (Mg/ycar)     JCILI .  i:s.sie.ioo
    Other

-------
Location 4  Magnitude of  Major  N02 Point  Sources  for  Colorado
                                       4>
                                         *
                                          •
                                             * »*
O Metal Industry
• Electric Generation
A Petroleum Industry
A Chemical Processes
^ Industrial Fuel Use
O Mineral Products
CD Other
 •     100  -  1000
     toot  -  toooo
    tooot  -  100000

Emissions (Mg/year)
SC1LI < I:S.S«C.O«0

-------
  Percent Contribution by Industrial Activities to
Total Point Source Emissions in  Colorado for  1985
           SO
             0.0
            87.3
             3.6
             0.0
             5.1
             2.4
             1.6
  Legend
Metal Industry
Electric Generation
Petroleum Industry
Chemical Processes
Industrial Fuel Use
Mineral Products
Other
N02(56)
  0.0
 83.9
  0.4
  0.0
 10.1
  1.2
  4.4

-------
location 4  Magnitude of  Major  S02  Point  Sources for  Idaho
O
  Metal Industry
  Electric Generation
  Petroleum Industry
  Chemical Processes
  Industrial Fuel Use
  Mineral Products
  Other
                            •    100 - 1000
                                 toot - 10000
                                10001 - 100000

                            Emissions (Mg/year)
1CILI
       :4. tee. tee

-------
 Location ft  Magnitude  of  Uajor  N02  Point  Sources  for  Idaho
O
•
A
Metal Industry
Electric Generation
Petroleum Industry
Chemical Processes
Industrial Fuel Use
Mineral Products
Other
  100  -  1000
 1001  -  10000
10001  -  100000
                            Emissions (Mg/year)
                   SCUt . 1.4.CCC.CCC

-------
Percent Contribution by Industrial Activities to
Total Point Source Emissions in Idaho for  1985
         S02(»)
           0.0
           0.0
           0.0
          66.3
          12.7
          15.2
           5.8
  Legend
Metal Industry
Electric Generation
Petroleum Industry
Chemical Processes
Industrial Fuel Use
Mineral Products
Other
N02(»)
  o.o
  1.8
  3.5
 13.3
 67.1
  4.5
  9.8

-------
Location  A  Magnitude of  Major  S02 Point  Sources for  Montana
                   •a-
                    ®
O Metal Industry
• Electric Generation
A Petroleum Industry
A Chemical Processes
   Industrial Fuel Use
   Mineral Products
   Other
 •     100 - 1000
     1001 - 10000
    10001 - 100000

Emissions (Mgfyear)
jciu « i :S.ieo,ooe

-------
 Location  * Magnitude  of  Major  N02 Point  Sources  for  Montana
O Metal Industry
• Electric Generation
A Petroleum Industry
A Chemical Processes
   Industrial Fuel Use
   Mineral Products
   Other
 •    100  -  1000
     1001  -  10000
    10001  -  100000

Emissions (Mg/year)
                       scut
                                  ». itt

-------
  Percent  Contribution  by  Industrial Activities to
Total Point Source Emissions in  Montana  for 1985
            36.0
            21.0
            31.4
             4.6
             6.1
             0.2
             0.7
                           Legend
Metal Industry
Electric Generation
Petroleum Industry
Chemical Processes
Industrial Fuel Use
Mineral Products
Other
                     N02(
-------
 Location &  Magnitude  ot Major S02  Point  Sources  for  Nevada
O  Metal Industry
•  Electric Generation
A  Petroleum Industry
A  Chemical Processes
4  Industrial Fuel Use
G>  Mineral Products
Q>  Other
•     100  -  1000
     tooi  -  10000
    10001  -  100000

Emissions (Mg/year)
                       SC1LI • I :4,100.000

-------
 Location  & Magnitude  of Major N02  Point  Sources (or  Nevada
O  Metal Industry
•  Electric Generation
A  Petroleum Industry
A  Chemical Processes
    Industrial Fuel Use
    Mineral Products
    Other
•     100  -  1000
     1001  -  10000
    10001  -  100000

Emissions  (Mg/year)
5CILI • I:4.e00.000

-------
Percent Contribution by Industrial Activities  to
Total Point Source Emissions in Nevada for 1985
         S02(*)
           o.o
           95.7
           0.2
           0.0
           0.0
           4.1
           0.0
   Legend
Metal Industry
Electric Generation
Petroleum Industry
Chemical Processes
Industrial Fuel Use
Mineral Products
Other
 0.2
98.0
 0.0
 0.0
 0.0
 1.8
 0.0

-------
Locution A Magnitude  of Major  S02  Point Sources  for  New  Mexico
                ©
                                                      A  *
                                                          A
                      -AAA,
  O  Metal Industry
  •  Electric Generation
  A  Petroleum Industry
  A  Chemical Processes
  ^  Industrial Fuel Use
  ®  Mineral Products
  Q>  Other
     100 - 1000
    toot - 10000
   10001 - 100000
Emissions (Mg/year)
iciu • t :}.m.ito

-------
Locotion &  y o g n i I u d e of  Uojor  N02 Point  Sources  (or  New  Mexico
                       *  *
                         *
                                                  4 *•
  O Metal Industry
  • Electric Generation
  A Petroleum Industry
  A Chemical Processes
  ^ Industrial Fuel Use
  O Mineral Products
  0 Other
      100 - 1000
     1001 - 10000
    10001 - 100000
Emissions (Mg/year)      seai = i:j.7st.o«o

-------
    Percent  Contribution  by Industrial Activities to
Total Point Source Emissions in New Mexico for  1985
            S02(»)
              43.5
              32.0
              18.3
              5.7
              0.3
              0.1
              0.1
  Legend
Metal Industry
Electric Generation
Petroleum Industry
Chemical Processes
Industrial Fuel Use
Mineral Products
Other
 0.0
59.8
 1.4
 0.8
37.9
 0.0
 0.1

-------
 Location  ft Magnitude  of  Major  S02  Point  Sources  for Oregon
O  Metal Industry
•  Electric Generation
A  Petroleum Industry
A  Chemical Processes
•  Industrial Fuel Use
O  Mineral Products
6  Other
•    100 - 1000
    1001 - 10000
   10001 - 100000

Emissions (Mgfyear)
•  I lJ.750.OCO

-------
 Location  & Magnitude  of Major N02  Point  Sources  for Oregon
O Metal Industry
• Electric Generation
A Petroleum Industry
A Chemical Processes
^ Industrial Fuel Use
O Mineral Products


-------
 Percent Contribution by Industrial  Activities  to
Total Point Source Emissions in  Oregon for  1985
          S02(X)
           10.9
           13.7
            9.6
            0.0
           25.8
           14.4
           25.6
  Legend
Metal Industry
Electric Generation
Petroleum Industry
Chemical Processes
Industrial Fuel Use
Mineral Products
Other
 0.0
42.3
 0.0
 0.0
38.3
 6.0
13.4

-------
  locution  k yognitude  of Mojor  S02  Point  Sources  for  Utah
                                4>
O  Metal Industry
•  Electric Generation
A  Petroleum Industry
A  Chemical Processes
^  Industrial Fuel Use
O  Mineral Products
Q>  Other
 •     too -  tooo
     toot -  toooo
    tooot -  tooooo
U     •     M     It*
        km
Emissions (Mg/year)      sent • ns.no.ioo

-------
  Location  ft Magnitude  of  Major N02  Point  Sources  for  Utah
                                        A    »» *
                          o
         w
O Metal Industry
• Electric Generation
A Petroleum Industry
A Chemical Processes
^ Industrial Fuel Use
 Mineral Products
CD Other
      100  -  1000
     1001  -  10000
    10001  -  100000
• .    M
  km
Emissions (Mg/year)      scui .  i:s.«so.i«o

-------
Percent Contribution by Industrial  Activities to
Total Point  Source  Emissions in Utah for 1985
         S02(»)
          20.2
          64.8
           4.3
           5.9
           1.9
           1.4
           1.5
  Legend
Metal Industry
Electric Generation
Petroleum Industry
Chemical Processes
Industrial Fuel Use
Mineral Products
Other
N02(*)
  0.9
 66.6
  2.0
  0.6
 21.7
  3.7
  2.5

-------
locotion ft  Uocjnitude of  Major  S02 Point  Sources for  Washington
  O  Metal Industry
  •  Electric Generation
  A  Petroleum Industry
  A  Chemical Processes
      Industrial Fuel Use
      Mineral Products
      Other
•    100 - 1000
     1001 - loooo
    10001 - 100000

Emissions (Mg/year)
    *  ,    M    IM
      km
SCIll • 1:1.til.100

-------
Location &  Magnitude  of  Major N02  Point  Sources  for Washington
     Metal Industry
     Electric Generation
     Petroleum Industry
     Chemical Processes
     Industrial Fuel Use
     Mineral Products
     Other
•    too - 1000
    1001 - 10000
    10001 - 100000

Emissions (Mg/year)
                       SCtLI ' 1:3.ISO.«00

-------
   Percent Contribution by Industrial Activities to
Total Point Source Emissions in Washington for 1985
            S02(K)
             20.6
             50.1
              8.1
              0.0
             12.5
              2.1
              6.6
  Legend
Metal Industry
Electric Generation
Petroleum Industry
Chemical Processes
Industrial Fuel Use
Mineral Products
Other
 0.9
53.7
 5.5
 1.9
25.4
 5.5
 8.1

-------
Locution ft  Hognitude of  Uojor  S02  Point  Sources  for  Wyoming
                                                              Oo|
                     A
                               A
                                                    *
                                                          A
O Metal Industry
• Electric Generation        •     100-1000
A Petroleum Industry        ^   1001 - 10000
A Chemical Processes       0  10001 - 100000    "     •   m
^ Industrial Fuel Use
O Mineral Products          Emissions (Mg/year)      sem • i:s.»««.iee
Q) Other

-------
Location  &  Uognitudt  of  Major  N02  Point Sources  for Wyoming
        4
«
                                     A
O  Metal Industry
•  Electric Generation       •     100-1000
A  Petroleum Industry       ^   1001 - 10000      	
A  Chemical Processes      ^  10001 - 100000    »     • km »     "
    Industrial Fuel Use
    Mineral Products         Emissions (Mg/year)     JCAII = i:s.sco.o«o
    Other

-------
  Percent  Contribution  by Industrial Activities  to
Total Point Source Emissions in Wyoming for 1985
           S02(*)
             0.6
            80.7
             9.9
             2.4
             5.7
             0.5
             0.2
  Legend
Metal Industry
Electric Generation
Petroleum Industry
Chemical Processes
Industrial Fuel Use
Mineral Products
Other
N02(K)
  0.2
 75.9
  2.5
  0.0
 17.9
  3.3
  0.2

-------
         APPENDIX 2
SULPHUR DIOXIDE INFORMATION
          BY STATE
              75

-------
APACHE COUNTY
        ARIZONA
            BIOGRAPHIC INFORMATION
           Latitude
           Longitude
           Elevation (m)
           Landuse
           City Population
           Basin Population -
           Start Summary
           End Summary
           Source of Data
 34.17° N
109.23° W
2308
Remote
Not in City
645,599
January, 1982
March, 1986
SAROAD (030040008J02)

-------
A.  BY YEAR.
                                   APACHE COUNTY
                                   BASIC STATISTICS

Year
1980
1981
1982
1983
1984
1985
19(56
1987
1988
All Years
% Data
Capt;
.
.
98
98
46
70
23
.
-
95
% Occurrence of hourly concentrations for
<10
.
.
99.8
99.6
99.6
99.9
99.6
.
-
99.7
B. GROWING SEASON

Year
1980
1982
1983
1S'84
15*5
15*86
1987
1988
All Years
% Data
Capt;
-
98
98
26
78
.
.
-
95
10-20
.
.
0.2
0.4
03
0.1
0.1
.
-
0.2
20-30
.
.
0.0
0.1
0.1
0.0
0.0
.
-
0.1
30-40
.
.
0.0
0.0
0.0
0.0
0.0
.
-
0.0
40-50
.
.
0.0
0.0
0.0
0.0
0.0
.
-
0.0
50-60
.
.
0.0
0.0
0.0
0.0
0.0
.
-
0.0
given
60-70
.
.
0.0
0.0
0.0
0.0
0.0
.
-
0.0
ranges
70-80
.
.
0.0
0.0
0.0
0.0
0.0
.
-
0.0
(PPb)2

.
.
0.0
0.0
0.0
0.0
03
.
-
0.1
(May through October).
% Occurrence
<10
-
99.8
99.8
99.9
99.9
.
.
-
99.8
10-20
-
0.2
0.2
0.1
0.1
.
.
-
0.1
of hourly concentrations for
20-30
-
0.0
0.0
0.0
0.0
.
.
-
0.0
30-40
-
0.0
0.0
0.0
0.0
.
.
-
0.0
40-50
-
0.0
0.0
0.0
0.0
.
.
-
0.0
50-60
-
0.0
0.0
0.0
0.0
.
.
-
0.0
given
60-70
-
0.0
0.0
0.0
0.0
.
.
-
0.0
ranges
70-80
-
0.0
0.0
0.0
0.0
.
.
-
0.0
(ppb)2

-
0.0
0.0
0.0
0.0
.
.
-
0.0
C BY MONTH*.

Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
% Data
Capt7
93
96
95
98
97
88
97
95
98
99
99
99
% Occurrence
<10
99.4
99.8
99.8
99.6
99.9
99.9
100.0
99.9
99.9
99.4
99.2
100.0
10-20
0.5
0.2
0.1
03
0.1
0.1
0.0
0.1
0.1
0.6
0.6
0.0
of hourly concentrations for
20-30
0.0
0.0
0.0
0.1
0.0
0.0
0.0
0.0
0.0
0.0
0.1
0.0
30-40
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
40-50
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
50-60
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
given
60-70
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
ranges
70-80
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
(ppb)2

0.1
0.1
0.1
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.  % Data Capture - # valid hours / (total # hours in averaging period) • 100.
X  % Occurrence •> % of valid hours with SOj concentrations in a given range.
3.  Statistics for monthly composites over the period of record.

-------
GREENLEE COUNTY
        ARIZONA
             BIOGRAPHIC INFORMATION
            Latitude
            Longitude
            Elevation (m)
            Landuse
            City Population
            Basin Population -
            Start Summary
            End Summary
            Source of Data
 33.01° N
109.36° W
1488
Rural/Industrial
Not in City
167,792
January, 1980
December, 1984
SAROAD (030380001F02)

-------
                                 GREENLEE COUNTY
                                   BASIC STATISTICS
 A  BY YEAR.

Year
1980
19'81
19«2
1983
1984
1S'85
1986
1987
1S'88
All Years
% Data
Capt7
90
99
94
• 96
90
.
.
.
-
95
% Occurrence
<10
195
623
83.0
63.6
61.1
.
.
.
-
69.8
B. GROWING SEASON

Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
All Years
% Data
Capt7
87
99
98
97
98
.
.
.
-
96
10-20
0.0
3.4
45
73
11.1
.
.
.
-
5.2
of hourly concentrations for
20-30
3.8
9.8
2.8
35
5.8
.
.
.
-
52
30-40
0.0
12
12
1.4
15
.
.
.
-
1.1
40-50
0.0
0.8
1.4
23
3.4
.
.
.
-
1.6
50-60
18
3.7
0.9
45
1.9
.
.
.
-
18
given
60-70
0.0
0.7
0.8
1.1
0.9
.
.
.
-
0.7
ranges
70-80
0.1
05
0.6
1.8
1.6
.
.
.
-
0.9
(PPb)2
280
13.8
17.6
4.8
14.5
118
.
.
.
-
117
(May through October).
% Occurrence
<10
87.8
69.8
97.8
67.9
64.6
.
.
.
-
77.4
10-20
0.0
2.7
0.5
7.8
8.6
.
-
.
-
4.0
of hourly concentrations for
20-30
3.0
73
03
3.6
6.7
.
-
.
-
4.2
30-40
0.0
0.6
0.1
1.6
12
.
-
.
-
0.7
40-50
0.0
05
03
1.8
3.7
.
-
.
-
13
50-60
23
3.0
03
1.9
13
.
-
.
-
1.7
given
60-70
0.0
0.4
0.1
0.7
0.7
.
-
-
-
0.4
ranges
70-80
0.0
03
0.1
13
1.7
.
.
.
-
0.7
(ppb)2

7.0
15.4
0.6
13.2
11.5
.
.
.
-
9.6
C BY MONTH*. .

Month
Jan
Feb
Mar
Apr
May
Jun
Ju!
Aug
Sep
Oct
Nov
IDec
% Data
Capt'
98
97
95
96
95
97
92
96
97
98
83
99
% Occurrence
<10
55.9
62.7
79.7
823
84.5
77.0
76.4
80.1
78.0
68.2
46.2
463
10-20
6.1
5.6
3.1
1.7
2.1
35
35
3.0
4.1
12
12.7
10.0
of hourly concentrations for
20-30
7.1
10.8
45
3.6
22
42
55
5.0
35
4.8
65
5.1
30-40
23
0.7
0.6
0.1
03
05
0£
03
1.0
1.5
2.4
25
40-50
2.1
1.7
1.0
0.7
0.6
0.5
1.5
1.9
\5
15
3.0
2.7
50-60
4.0
16
1.4
15
13
14
1.6
1.7
0.9
25
3.4
9.7
given
60-70
0.8
0.8
0.7
0.2
0.4
0.5
03
0.1
05
0.8
15
1.9
ranges
70-80
13
05
0.4
0.1
05
05
OJ8
0.7
1.0
0.7
1.8
16
(ppb)2

203
14.7
8.8
9.8
8.1
10.5
9.6
12
95
117
215
193
1.  % Data Capture - # valid hours / (total * hours in averaging period) • 100.
2.  % Occurrence •> % of valid hours with SO^ concentrations in a given range.
3.  Statistics for monthly composites over the period of record.

-------
MIAMI
         ARIZONA
       BIOGRAPHIC INFORMATION
     Latitude
     Longitude
     Elevation (m)
     Landuse
     City Population
     Basin Population  -
     Start Summary
     End Summary
     Source of Data
 33.39° N
110.87° W
1262
Rural/Agriculture
2,716
2,189,162
January, 1980
December, 1986
SAROAD  (030480902F02)

-------
 A  BY YEAR.
                                             MIAMI
                                      BASIC STATISTICS
Year
I960
1981
1982
1SS3
1984
1985
1S>86
1987
1988
All Years
% Data
Capt;
98
99
93
85
85
98
91
.
-
94
% Occurrence
<10 10-20
91.8
73.5
70.0
73.2
74.8
79.7
819
.
-
78.1
B. GROWING SEASON
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
All Years
% Data
Capt'
96
99
88
99
89
99
90
.
-
94
0.0
6.8
14.5
183
10.1
6.8
7.5
.
-
8.9
of hourly concentrations for
20-30 30-40 40-50 50-60
22
6.2
65
2.6
42
3.0
3.8
.
-
4.4
0.0
0.6
0.9
0.9
0.9
1.8
11
.
-
1.0
0.0
05
0.6
1.0
15
1.0
0.7
.
-
0.7
1.4
16
0.7
0.7
1.1
12
0.8
.
-
1.2
given
60-70
0.0
0.4
0.4
0.5
0.7
0.8
0.5
.
-
P-5
ranges
70-80
0.4
03
0.4
0.4
0.9
0.8
0.4
.
-
0.5
^80
4.2
93
4.0
15
5.9
5.1
13
.
-
4.7
(May through October).
% Occurrence
<10 10-20
95.9
773
65.4
80.8
77.7
81.4
86.2
.
-
80.8
0.0
6.4
14.9
13.6
93
6.0
7.9
.
-
8.2
of hourly concentrations for
20-30 30-40 40-50 50-60
13
5.4
15.6
1.7
4.0
16
10
.
-
4.5
0.0
0.7
1.0
05
1.0
1.6
1.6
.
-
0.9
0.0
0.5
0.9
0.7
1.1
1.0
05
.
-
0.7
0.6
10
0.6
0.5
1.2
13
03
.
-
0.9
given
60-70
0.0
03
0.2
0.2
0.7
0.7
0.4
.
-
0.4
ranges
70-80
0.1
0.2
03
03
0.6
0.7
03
.
-
03
(ppb)2
11
7.0
1.2
1.7
43
4.7
0.9
.
-
32
C BY MONTH3.
Month
Jan
Feb
Mar
Apr
May
JFun
Jul
Aug
Sep
Oct
Nov
Dec
% Data
Capt'
99
100
97
98
94
99
94
88
' 91
99
87
82
% Occurrence
<10 10-20
74.1
71.0
78.4
873
86.7
85.8
79.2
753
76.6
80.8
711
67.7
103
11.0
8.1
3.4
4.7
4.6
3.7
13.9
14.5
8.6
133
123
of hourly concentrations for
20-30 30-40 40-50 50-60
3.8
43
3.9
19
2.4
25
103
4.6
4.0
3.4
43
62
13
12
0.9
0.6
0.6
0£
1.0
0.9
0.8
13
1.1
1.9
1.0
1.0
0.7
0.4
0.6
0.6
0.9
0.4
0.6
0.8
0.7
1.1
15
1.7
1.6
12
1.1
1.0
13
0.9
0.6
0.8
1.7
1.5
given
60-70
0.6
0.7
0.6
03
0.2
0.4
0.2
0.4
0.4
0.5
03
0.7
ranges
70-80
0.8
1.0
0.4
0.6
0.2
0.4
0.5
0.2
03
0.5 .
0.5
0.7
(PPb)2
280
6.6
8.2
53
33
3.5
3.9
19
33
11
33
5.9
7.9
1.  % Data Capture = # valid hours / (total # hours in averaging period) • 100.
2.  % Occurrence = % of valid hours with SOj concentrations in a given range.
3.  Statistics for monthly composites over the period of record.

-------
AZUSA
       CALIFORNIA
       BIOGRAPHIC INFORMATION
     Latitude
     Longitude
     Elevation (m)
     Landuse
     City Population
     Basin Population  -
     Start Summary
     End Summary
     Source of Data
 34.14° N
117.92° W
185
Suburban/Industrial
29,380
11,201,922
January, 1980
December, 1986
SAROAD (050500002101)

-------
                                           AZUSA
                                    BASIC STATISTICS
 A. BY YEAR.
Year
1980
1981
1982
1983
1934
1985
1986
1987
1988
% Data
Capt;
96
95
94
96
95
95
63
.
.
% Occurrence of hourly concentrations for given ranges (ppb)2
<10 10-20 20-30 3(MO 40-50 50-60 60-70 70-80 *80
52.7
70.4
70.6
79.4
77.9
71.1
72.6
.
.
37.0
27.0
27.8
20.0
213
2814
26.8
.
.
8.1
14
1.5
0.5
0.8
0.5
0.5
.
.
1.9
0.1
0.1
0.1
0.1
0.0
0.0
.
.
03
0.1
0.1
0.0
0.1
0.0
0.0
-
.
0.1
0.0
0.0
0.0
0.0
0.0
0.0
.
.
0.0
0.0
0.1
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
0.1
.
.
All Years    95
 70.6    26.9
2.1
0.1
0.0
0.0
0.0
0.0
B.  GROWING SEASON (May through October).
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
% Data
Capt7
99
93
94
97
95
95
32
.
.
% Occurrence of hourly concentrations for given ranges (ppb)2
<10 10-20 20-30 30-40 40-50 50-60 60-70 70-80 *80
43.1
653
643
73.2
75.2
73.2
64.5
-
.
41.7
31.7
34.1
26.4
24.2
26.5
34.6
-
.
11.5
18
15
0.4
0.6
03
0.8
-
.
3.1
0.2
0.1
0.0
0.1
0.0
0.0
-
.
0.6
0.1
0.1
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
0.1
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
0.1
.
.
All Years    96
655   31.0
2.8     0.5
0.1
0.0
0.0
0.0
0.0
C  BY MONTH5.

         % Data
Month    Capt;
 % Occurrence of hourly concentrations for given ranges (ppb)2
<10   10-20   20-30 30-40  40-50 50-60   60-70  70-80   *80
Jao
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
89
97
96
95
96
96
96
95
96
96
95
96
71.5
76.7
84.0
75.5
783
65.7
64.7
633
55.9
63.2
711
71.8
273
223
153
22.1
21.5
26.7
30.4
34.5
403
34.0
25.7
25.9
12
0.9
0.7
1.8
0.2
5.6
4.1
10
3.1
23
11
11
0.1
0.1
0.0
0.5
0.0
1.7
0.6
0.2
0.6
0.4
0.1
0.1
0.0
0.0
0.1
0.1
0.0
03
0.1
0.1
0.1
0.1
0.0
0.1
0.0
0.0
0.0
0.1
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
0.1
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
0.0
0.1
0.0
0.1
0.0
0.0
0.0
0.0
0.0
0.1
0.0
0.0
1.  % Data Capture = # valid hours / (total # hours in averaging period) • 100.
2.  % Occurrence - % of valid hours with SO; concentrations in a given range.
3.  Statistics for monthly composites over the period of record.

-------
BURBANK
       CALIFORNIA
        BIOGRAPHIC INFORMATION
       Latitude
       Longitude
       Elevation (m)
       Landuse
       City Population
       Basin Population -
       Start Summary
       End Summary
       Source of Data
 34.18° N
118.32° W
170
Suburban/Industrial
84,625
11,201,922
January,  1980
December, 1986
SAROAD (050900002101)

-------
A. BY YEAR.
                                         BURBANK
                                     BASIC STATISTICS
Year
1980
1981
1S«2
1983
1S'84
1985
1986
1981
1988
All Years
% Data
Capt'
98
91
94
94
91
95
63
.
-
94
% Occurrence of hourly concentrations for
<10 10-20 20-30 30-40 40-50 50-60
48.5
55.9
48.1
58.0
53.1
53.4
662
.
-
54.1
B. GROWING SEASON
Year
1980
1981
1982
1S'83
1S'84
1985
1986
1987
1988
All Years
% Data
Capt7
98
86
94
94
88
95
32
.
-
93
41.5
373
465
37.0
410
42.9
32.6
.
-
40.4
8.4
5.8
4.4
4.7
4.5
3.4
1.1
.
-
4.8
1.4
0.9
0.8
03
0.4
03
0.0
.
-
0.6
02
0.1
0.1
0.1
0.1
0.1
0.0
.
•
0.1
0.0
0.0
0.0
0.0
0.1
0.0
0.0
.
-
0.0
given
60-70
0.0
0.0
0.1
0.0
0.0
0.0
0.0
.
-
0.0
ranges
70-80
0.0
0.0
0.1
0.0
0.0
0.0
0.0
.
-
0.0
(PPb)2
iSO
0.0
0.0
0.1
0.0
0.0
0.0
0.1
.
-
0.1
(May through October).
% Occurrence
<10 10-20
46.2
49.7
49.0
63.1
563
57.0
62.0
.
-
54.0
43.4
44.9
48.2
34.2
41.7
41.9
372
.
-
411
of hourly concentrations for
20-30 30-40 40-50 50-60
9.2
5.0
17
14
1.8
1.1
0.7
.
-
3.6
1.1
03
0.1
02
0.2
0.0
0.0
.
-
03
0.1
0.0
0.0
0.1
0.1
0.0
0.0
.
-
0.1
0.0
0.0
0.0
0.0
0.0
0.0
0.0
.
-
0.0
given
60-70
0.0
0.0
0.0
0.0
0.0
0.0
0.0
.
-
0.0
ranges
70-80
0.0
0.0
0.0
0.0
0.0
0.0
0.0
.
-
0.0
(PPb)2
280
0.0
0.0
0.0
0.0
0.0
0.0
0.1
.
-
0.0
C. BY MONTH5.
Month
Jan
Fcb
Mar
Apr
May
JUD
Jill
Aug
Sep
Oct
Nov
Dec
% Data
Capt;
94
97
96
96
93
90
95
93
91
95
94
96
% Occurrence
<10 10-20
47.8
542
653
66.7
67.5
56.0
50.4
42.9
53.7
51.9
55.7
36.0
414
39.0
33.6
31.6
31.6
41.6
44.7
54.4
402
41.8
37.7
48.5
of hourly concentrations for
20-30 30-40 40-50 50-60
8.9
6.4
1.1
1.5
0.8
11
4.6
17
5.8
5.4
53
114
0.8
0.4
0.0
02
0.1
02
02
0.1
0.4
0.9
1.1
18
0.1
0.1
0.0
0.0
0.1
0.1
0.0
0.0
0.0
0.1
03
02
0.0
0.1
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
given
60-70
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.1
ranges
70-80
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.1
(ppb)*
*80
0.1
0.0
0.1
0.0
0.0
0.0
0.0
0.0
0.0
0.1
0.1
0.1
1.  % Data Capture - # valid hours / (total # hours in averaging period) • 100.
Z  % Occurrence - % of valid bourt with SO^ concentrations in • given range.
3.  Statistics for monthly composites over the period of record.

-------
SAN BERNARDINO
       CALIFORNIA
            BIOGRAPHIC INFORMATION
           Latitude
           Longitude
           Elevation (m)
           Landuse
           City Population
           Basin Population -
           Start Summary
           End Summary
           Source of Data
 34.10° N
117.29° W
338
City Center/Commercial
118,794
11,201,922
January, 1980
December, 1980
SAROAD (056680001101)

-------
                                   SAN BERNARDINO
                                   BASIC STATISTICS
A.  BY YEAR.
Year
% Data
 Capt'
 % Occurrence of hourly concentrations for given ranges (ppb)2
<10   10-20  20-30  30-40  40-50  50-60  60-70  70-80   *80
 1980        99
 1981
 1982
 1983
 1984
 1S>85
 1986
 1987
 1S'88

All Years    99
            85.1    143
               0.5
0.1
0.0
0.0
0.0
0.0     0.0
            85.1    143
               0.5     0.1
       0.0    0.0
              0.0     0.0
                     0.0
B.  GROWING SEASON (May through October).

         % Data     % Occurrence of hourly concentrations for given ranges (ppb)2
Year      Capt'      <10   10-20  20-30 30-40  40-50 50-60   60-70  70-80   *80

19J&6        99       sTens     61ol    06    6!6     aoaoab~
1981        -          	
1982        -          	
1983        -          .........
1984        -          .........
1985        -          .........
1986        -          ....       	
1987        -          ....       	
1988        -          ....       	
All Years    99
            81.6    17.9    05     0.1     0.0     0.0    0.0    0.0    0.0
C  BY MONTH5.
Month
Jan
Feb
Mar
Apr
May
Jlun
JFul
Aug
Sep
Oct
Nov
Dec
% Data
Capt;
100
100
100
98
100
100
100
99
100
97
100
97
% Occurrence of hourly concentrations for given ranges (ppb)2
<10 10-20 20-30 30-40 40-50 50-60 60-70 70-80 *80
94.8
93.1
85.7
80.0
93.7
783
67.0
79.5
81.2
89.9
89.9
88.8
52
6.5
143
17.2
63
21.6
31.8
19.8
18.2
9.7
9.6
11.2
0.0
0.4
0.0
2.6
0.0
0.1
12
0.7
0.4
0.4
0.6
0.0
0.0
0.0
0.0
03
0.0
0.0
0.0
0.0
0.1
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
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
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
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.  % Data Capture - # valid hours / (total # hours in averaging period) * 100.
2.  % Occurrence - % of valid hours with SO^ concentrations in a given range.
3.  Statistics for monthly composites over the period of record.

-------
SAN BERNARDINO
       CALIFORNIA
            BIOGRAPHIC INFORMATION
           Latitude
           Longitude
           Elevation (m)
           Landuse
           City Population
           Basin Population -
           Start Summary
           End Summary
           Source of Data
 34.11° N
117.28° W
320
City Center/Commercial
118,794
11,201,922
January,  1981
December, 1984
SAROAD (056680003101)

-------
                                  SAN BERNARDINO
                                   BASIC STATISTICS
A.  BY YEAR.
% Data
Year Capt7
1980
19*1 82
19*2
1983 95
1984 95
1985
1986
1987
1988
% Occurrence of hourly concentrations for given
<10 10-20 20-30 30-40 40-50 50-60 60-70
.... ...
88.7 11,0 02 0.0 0.0 0.0 0.0
.... ...
90.4 9.6 0.1 0.0 0.0 0.0 0.0
79.5 203 03 0.1 0.0 0.0 0.0
.... ...
.... ...
.... ...
.... ...
ranges (ppb)2
70-80 *80
.
0.0
.
0.0
0.0
.
.
.
.
.
0.0
.
0.0
0.0
.
.
.
.
All Years   91
 86.2    13.6
0.2
0.1     0.0    0.0
0.0
0.0
0.0
B.  GROWING SEASON (May through October).
% Data
Year Capt7
1980
1981 71
1982
1983 94
1984 95
1985 . -
1986
1987
1988
% Occurrence of hourly concentrations for given ranges (ppb)2
<10 10-20 20-30 30-40 40-50 50-60 60-70 70-80 *80
....
83.0 16.6 0.4 0.0 0.0
....
86.9 13.1 0.1 0.0 0.0
84.9 14.9 0.2 0.1 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
.
.
.
.
All Years   87
 84.9   14.9
0.2
0.1     0.0    0.0     0.0    0.0    0.0
C  BY MONTH5.
         % Data
Month    Capt;
 % Occurrence of hourly concentrations for given ranges (ppb)2
<10   10-20  20-30 30-40  40-50 50-60  60-70 70-80    *80
Jan
Feb
Mar
Apt
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
96
98
96
94
65
84
93
94
95
91
88
92
87.4
91-8
89.0
91.6
902
86.6
893
83.8
74.7
87.6
85.9
76.2
123
7.7
11.0
83
9.8
13.2
10.7
16.1
24.8
12.2
14.1
23.7
02
OS
0.1
0.1
0.0
0.2
0.0
0.1
0.4
0.2
0.1
0.1
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.1
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
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
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
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.  % Data Capture «= # valid hours / (total # hours in averaging period) • 100.
2.  % Occurrence - % of valid hours with SOj concentrations in a given range.
3.  Statistics for monthly composites over the period of record.

-------
DENVER
       COLORADO
       BIOGRAPHIC INFORMATION
      Latitude
      Longitude
      Elevation (m)
      Landuse
      City Population
      Basin Population
      Start Summary
      End Summary
      Source of Data
 39.75° N
104.99° W
1606
City Center/Commercial
492,365
1,628,210
January,  1980
December, 1986
SAROAD (060580002F01)

-------
 A.  BY YEAR.
                                           DENVER
                                     BASIC STATISTICS
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
All Years
% Data
Capt;
90
89
96
96
97
93
99
.
-
94
% Occurrence of hourly concentrations for
<10 10-20 20-30 30-40 40-50 50-60
64.9
58.2
60.8
53.0
61.7
69.8
72.2
.
-
63.0
B. GROWING SEASON
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
All Years
% Data
Capt7
90
87
96
94
97
94
99
.
-
94
17.7
21.8
23.4
25.8
24.4
21.7
18.6
.
-
21.9
73
9.5
8.1
11.2
15
5.8
55
.
-
7.9
3.7
4.6
4.1
5.1
3.0
1.7
2.0
.
-
3.4
1.9
2.2
1.6
23
1.5
05
0.8
.
-
15
1.2
13
0.9
13
1.0
02
0.4
.
-
0.9
given
60-70
0.6
0.9
0.5
0.7
0.4
0.1
02
.
-
05
ranges
70-80
0.7
0.6
0.2
03
0.2
0.1
0.1
.
-
03
(PPb)2
*80
2.0
0.9
0.4
03
03
0.1
0.1
.
-
0.6
(May through October).
% Occurrence
<10 10-20
68.9
67.7
66.1
56.6
71.0
70.9
74.8
.
-
68.1
16.6
19.1
21.5
25.6
21.0
21.0
16.7
.
-
20.3
of hourly concentrations for
20-30 30-40 40-50 50-60
65
6.9
6.9
10.1
4.9
5.4
5.1
.
-
6.5
2.8
2.7
3.2
3.8
1.6
1.7
1.6
.
-
2.5
1.7
1.4
1.0
2.0
0.6
05
1.0
.
-
1.2
1.0
0.7
0.6
1.1
0.5
0.2
0.4
.
-
0.6
given
60-70
05
0.8
0.4
05
03
0.1
0.2
.
-
0.4
ranges
70-80
0.6
03
0.1
0.2
0.1
0.1
0.1
.
-
0.2
(PPb)2
*80
15
0.4
02
0.1
0.1
0.1
0.2
.
-
0.4
C BY MONTH5.
Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
% Data
Capt'
96
98
94
96
95
94
96
89
97
93
91
92
% Occurrence
<10 10-20
48.8
59.0
65.9
72.7
76.2
75.4
70.7
67.8
65.0
53.2
51.2
49.2
24.5
23.5
22.0
18.9
17.5
16.4
18.7
20.8
213
26.8
26.7
. 26.5
of hourly concentrations for
20-30 30-40 40-50 50-60
12.1
8.7
7.0
45
3.9
5.1
6.0
7.0
6.6
10.5
113
11.7
6.8
45
2.4
1.9
1.1
1.5
25
25
3.0
4.1
4.6
63
33
1.6
12
0.8
05
0.9
1.0
1.0
1.6
1.8
1.9
2.6
1.8
1.1
0.8
0.6
03
0.4
0.4
05
1.0
1.1
1.5
1.5
given
60-70
0.9
0.4
03
03
0.1
0.2
03
0.2
0.6
0.8
0.9
0.9
ranges
70-80
0.7
0.4
03
0.1
0.1
0.1
0.1
0.1
03
0.4
0.4
05
(PPb)2
*80
1.2
0.9
0.2
03
0.2
0.1
02
0.1
0.5
1.1
1.4
0.7
1.  % Data Capture -' # valid hours / (total # hours in averaging period) * 100.
2.  % Occurrence • % of valid hours with SO2 concentrations in a given range.
3.  Statistics for monthly composites over the period of record.

-------
BOISE CITY
          IDAHO
         BIOGRAPHIC INFORMATION
        Latitude
        Longitude
        Elevation (m)
        Landuse
        City Population
        Basin Population -
        Start Summary
        End Summary
        Source of Data
 43.61° N
116.20° W
830
City Center/Commercial
102,160
256,792
January,  1980
December, 1980
SAROAD (130220007F01)

-------
                                       BOISE CITY
                                    BASIC STATISTICS
A.  BY YEAR.
Y
-------
CARIBOU COUNTY
          IDAHO
             BIOGRAPHIC INFORMATION
           Latitude
           Longitude
           Elevation (m)
           Landuse
           City Population
           Basin Population -
           Start Summary
           End Summary
           Source of Data
 42.76° N
111.55° W
1846
Rural/Industrial
Not in City
255,147
January,  1980
December, 1983
SAROAD (130420014F02)

-------
A.  BY YEAR.
                                  CARIBOU COUNTY
                                   BASIC STATISTICS

Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
All Years
% Data
Capt7
89
80
88
87
.
.
.
.
-
86
% Occurrence of hourly concentrations for
<10
618
61.0
493
714
.
.
.
.
-
61.4
B. GROWING SEASON

Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
All Years
% Data
Capt7
89
92
88
86
.
.
.
.
-
89
10-20
14.4
14.5
30.0
123
.
.
.
.
-
17.8
20-30
7.8
10.0
15
4.1
.
.
.
.
-
7.5
30-40
42
42
45
18
.
.
.
.
-
3.9
40-50
18
15
23
12
.
.
.
.
-
15
50-60
1.8
11
1.7
1.4
.
.
.
.
-
1.8
given
60-70
15
13
0.8
1.0
.
.
.
.
-
12
ranges
70-80
0.9
0.7
0.6
05
.
'
.
.
-
0.7
(ppb)2
,80
3.7
3.6
33
16
.
.
.
.
-
33
(May through October).
% Occurrence
<10
603
63.0
48.9
71.8
.
.
.
.

61.0
10-20
16,5
11.4
30.0
117
.
.
.
.
-
17.7
of hourly concentrations for
20-30
73
11.6
8.2
5.1
.
.
.
.
-
8.1
30-40
4.5
3.8
5.0
2.8
.
.
.
.
-
4.0
40-50
3.1
1.9
11
10
.
.
.
.
-
23
50-60
10
14
13
13
.
.
.
.
-
1.8
given
60-70
1.5
1.6
0.8
1.2
.
.
.
.
-
13
ranges
70-80
0.9
0.6
0.5
0.6
.
.
.
.
-
0.7
(PPb)2
*80
3.9
3.7
3.0
15
.
.
.
.
-
33
C BY MONTH5.
i
Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Qct
Nov
Dec
% Data
Capt7
92
90
68
91
92
88
89
89
92
81
71
87
% Occurrence
<10
552
57.6
603
65.5
66.1
54.6
58.5
502
63.4
73.6
70.9
63.1
10-20
17.1
203
20.8
193
16.5
211
21.1
212
11.9
11.7
14.1
17.1
of hourly concentrations for
20-30
8.5
7.6
S2
5.1
6.0
15
7.1
10.1
11.6
63
4.8
63
30-40
5.0
4.7
19
3.0
32
5.1
3.9
52
4.4
15
17
3.9
40-50
3.7
23
10
23
10
32
25
25
2.0
1.6
12
18
50-60
14
11
13
1.1
15
1.6
1.5
17
11
1.0
1.5
1.9
given
60-70
15
1.1
1.4
0.7
1.1
1.8
1.1
1.5
1.4
0.8
0.8
1.0
ranges
70-80
1.1
0.6
0.7
0.4
1.0
0.8
0.7
0.6
05
03
0.7
0.7
(PPb)2
*80
5.5
3.7
23
16
16
3.4
3.6
4.9
18
12
12
3.2
1.  % Data Capture - # valid hours / (total # hours in averaging period) • 100.
2.  % Occurrence •* % of valid hours with SO; concentrations in • given range.
3.  Statistics for monthly composites over the period of record.

-------
CARIBOU COUNTY
          IDAHO
             BIOGRAPHIC INFORMATION
           Latitude
           Longitude
           Elevation (m)
           Landuse
           City Population
           Basin Population  -
           Start Summary
           End Summary
           Source of Data
 42.73° N
111.55° W
1892
Rural/Industrial
Not in City
255,147
January,  1985
December, 1986
SAROAD (130420027F02)

-------
                                   CARIBOU  COUNTY
                                    BASIC STATISTICS
A. BY YEAR.
Year
% Data
 Capt'
 % Occurrence of hourly concentrations for given ranges (ppb)2
<10   10-20  20-30  30-40  40-50 50-60   60-70 70-80    *80
 1980
 1981
 1982
 1983
 1984
 1985
 1986
 1987
 1988
   88
   88
76.6
82.9
10.8
10.1
4.7
2.9
2.4
1.5
13
0.9
1.1
0.6
0.2
              03
       1.9
       0.7
All Years    88
            79.7    10.4
               3.8     2.0
                      1.1
                     0.8
                     0.4
                     0.4
                     13
B.  GROWING SEASON (May through October).
Year
% Data     % Occurrence of hourly concentrations for given ranges (ppb)2
 Capt'     <10    10-20   20-30 30-40  40-50  50-60  60-70  70-80   t80
1980
1981
1982
1983
1984
1985
1986
1987
1988
  90
  90
803
893
 9.6
 8.4
3.5
\2
2.0
0.4
1.2
0.2
0.7
0.1
0.1
0.4
0.1
1.9
0.4
All Years    90
            84.8
        9.0
       23
       1.2
       0.7
       0.4
       03
       03
       1.2
C  BY MONTH3.
Month
Jan
Feb
Mar
Apr
May
JUD
Jill
Aug
Scp
Oct
Nov
Dec
% Data
Capt'
85
89
91
90
94
89
94
84
85
94
73
94
% Occurrence of hourly concentrations for given ranges (ppb)2
<10 10-20 20-30 30-40 40-50 50-60 60-70 70-80 *80
56.7
70.5
80.5
82.5
883
86.5
85.6
85.0
92.2
723
87.0
70.8
16.9
15.9
10.6
11.1
63
6.8
6.6
6.4
4.8
22.2
7.8
9.8
10.9
5.6
4.1
33
25
23
10
2.4
1.1
3.4
19
52
53
3.0
1.4
15
0.9
1.1
L6
15
0.7
13
1.1
3.8
32
22
12
05
0.4
0.7
1.0
13
03
0.2
0.7
1.6
2.9
1.1
0.4
0.1
0.4
0.5
0.4
0.9
0.0
03
02
2.1
0.6
0.8
0.4
0.1
0.4
0.1
0.6
0.1
0.2
0.1
0.0
1.4
1.1
0.6
0.1
0.4
0.1
0.6
03
0.2
0.1
0.0
0.1
1.1
23
03
12
05
0.6
13
2.0
22
05
02
02
42
1.  % Data Capture - # valid hours / (total # hours in averaging period) • 100.
2.  % Occurrence - % of valid hours with SO^ concentrations in a given range.
3.  Statistics for monthly composites over the period of record.

-------
KELLOGG
          IDAHO
        BIOGRAPHIC INFORMATION
       Latitude
       Longitude
       Elevation (m)
       Landuse
       City Population
       Basin Population
       Start Summary
       End Summary
       Source of Data
 47.53° N
116.13° W
754
Suburban/Residential
3,417
625,936
January,  1980
November, 1981
SAROAD (130840002F02)

-------
                                        KELLOGG
A. BY YEAR.
Year
% Data
 Capt;
                                   BASIC STATISTICS
 % Occurrence of hourly concentrations for given ranges (ppb)2
<10   10-20   20-30  30-40 40-50  50-60  60-70  70-80   *80
 1980        78
 1981        74
 19'82
 1983
 1984
 1985
 1986
 19S7
 1988

 Ail Years    79
            313    253    11.4    8.1     5.1
            29.0    23.6    112    8.8     3.8
                                   3.8
                                   4.9
              33
              3.0
              22     95
              2.4    123
            30.2    24.4   11.8    8.4     4.5'
                                   4.4
              3.2
              23    10.9
B..  GROWING SEASON (May through October).

         % Data     % Occurrence of hourly concentrations for given ranges (ppb)2
Year
 Capt'
<10   10-20  20-30  30-40  40-50  50-60  60-70  70-80   *80
1980
1981
1982
1983
1984
1985
1986
1987
1988
80
84
343
32.4
27.0
18.7
10.2
123
65
15
3.9
19
23
5.2
17 11
3.2 1.9
11.1
16.1
All Years    82
            333   22.7   11.2
                      7.0
3.4
3.8
2.9
2.0    13.7
C  BY MONTH*.

         % Data
Month    Capt;
            % Occurrence of hourly concentrations for given ranges (ppb)2
           <10   10-20  20-30  30-40 40-50  50-60  60-70  70-80   *80
Jan
Feb
Mar
/^pr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec '
93
78
69
69
83
70
72
86
89
92
66
96
23.7
283
32.0
353
37.9
35.7
38.4
39.8
33.1
17.7
16.5
21.7
17.6
27.7
34.7
30.9
30.5
30.0
23.6
13.5
19.0
21.9
30.5
18.7
117
14.0
11.9
11.4
7.9
12
15
103
14.7
17.8
123
11.5
118
9.1
7.0
8.5
5.8
12
65
7.1
6.5
8.7
110
10.5
7.8
53
45
3.1
18
43
5.0
11
15
3.9
7.1
6.5
7.4
42
2.1
13
1.8
19
4.4
42
33
5.7
52
9.0
45
4.6
1.7
1.7
14
14
3.1
13
32
3.9
4.4
3.4
4.1
12
13
1.4
1.7
10
19
12
1.7
15
19
4.8
9.4
45
43
53
93
8.4
8.7
18.4
16.0
18.8
9.1
14.0
1.  % Data Capture - # valid hours / (total # hours in averaging period) • 100.
2.  % Occurrence - % of valid hours with SO; concentrations in a given range.
3.  Statistics for monthly composites over the period of record.

-------
SHOSHONE COUNTY
          IDAHO
              BIOGRAPHIC INFORMATION
            Latitude
            Longitude
            Elevation (m)
            Landuse
            City Population
            Basin Population  -
            Start Summary
            End Summary
            Source of Data
 47.53° N
116.17° W
708
Suburban/Industrial

625,936
January,  1980
December, 1983
SAROAD (131420021F02)

-------
                                 SHOSHONE COUNTY
                                   BASIC STATISTICS
A.  BY YEAR.
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
All Years
% Data
Capt7
85
82
88
89
.
-
.
.
-
86
% Occurrence
<10 10-20
33.0
363
76.0
100.0
.
-
.
.
-
62.2
B. GROWING SEASON
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
All Years
% Data
Capt7
89
86
90
89
.
-
.
.
-
89
27.2
223
24.0
0.0
.
.
.
.
-
18.1
of hourly concentrations for
20-30 30-40 40-50 50^0
13.8
142.
0.1
0.0
.
.
.
.
-
6.8
12
7.1
0.0
0.0
.
.
.
.
-
3.5
4.9
3.1
0.1
0.0
.
-
.
-
-
1.9
3.6
4.0
0.0
0.0
.
.
.
.
-
1.8
given
60-70
29
2.9
0.0
0.0
.
-
.
-
-
1.4
ranges
70-80
1.8
15
0.0
0.0
.
•
.
-
-
0.8
(PPb)2
*80
5.6
8.6
0.0
0.0
.
-
.
-
-
3.4
(May through October).
% Occurrence
<10 10-20
39.1
33.6
64.5
100.0
.
.
.
.
-
59.5
26.4
16.0
35.4
0.0
.
.
.
.
-
19.5
of hourly concentrations for
20-30 30-40 40-50 50-60
11.7
16.0
0.0
0.0
.
.
.
.
-
6.8
63
8.6
0.0
0.0
.
.
-
.
-
3.7
4.6
2.6
0.1
0.0
.
-
.
.
-
\&
3.0
53
0.0
0.0
.
.
-
-
-
2.1
given
60-70
23
3.1
0.0
0.0
.
-
.-
.
-
13
ranges
70-80
1.6
1.7
0.0
0.0
.
.
-
.
-
0.8
(ppb)2
*80
4.9
13.2
0.0
0.0
.
.
-
.
-
4.4
C BY MONTH5.
<
Month
Jan
Feb
Mar
Apir
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
% Data
Capt7
77
92
83
79
88
86
90
90
92
86
80
92
% Occurrence
<10 10-20
56.5
54.9
68.9
69.8
643
63.8
54.9
523
61.0
61.4
71.5
683
14.7
23.4
15.4
16.4
24.0
27.0
27.0
19.9
9.9
9.7
14.2
15.7
of hourly concentrations for
20-30 30-40 40-50 50-60
9.8
9.1
5.9
4.9
4.8
33
6.7
6.6
9.6
9.7
5.2
5,6
4.4
3.6
3.0
2.6
23
1.9
33
53
43
4.7
3.4
25
2.9
22
1.9
21
15
15
\£
1.4
24
21
20
1.6
2.9
1.9
1.7
0.7
0.8
0.7
1.4
26
3.4
3.4
13
12
given
60-70
2.7
1.5
1.0
13
05
05
13
22
1.7
1.8
1.0
13
ranges
70-80
1.5
0.6
0.6
0.6
05
02
0.9
1.6
0.9
0.7
0.7
1.1
(PPb)2
*80
4.7
2.7
1.6
1.6
13
12.
26
8.1
6.7
6.4
0.8
2.7
1.  % Data Capture - # valid hours / (tout # hours in averaging period) * 100.
2.  % Occurrence «• % of valid hours with SOj concentrations in a given range.
3.  Statistics for monthly composites over the period of record.

-------
ANACONDA-DEER LODGE
        MONTANA
                BIOGRAPHIC INFORMATION
               Latitude
               Longitude
               Elevation (m)
               Landuse
               City Population
               Basin Population
               Start Summary
               End Summary
               Source of Data
 46.13° N
112.94° W
1631
Suburban/Residential
12,518
185,125
January, 1980
December, 1980
SAROAD (270020007F01)

-------
                              ANACONDA-DEER LODGE
                                   BASIC STATISTICS
 A. BY YEAR.
Year
         % Data
          Capt'
 % Occurrence of hourly concentrations for given ranges (ppb)2
<10    10-20  20-30  30-40 40-50  50-60  60-70  70-80   *80
1980 90 65.5 14.8 7.6 11 1.4 1
19811 - 	
1982 - 	
1983 - 	
1984 - 	
1985 - 	
1986 - ......
1987 - 	
1988 - 	
0 0.7 0.6 62
.
.
...
...
...
...
.
...
All Years    90
                     65.5    14.8     7.6    2.1
                             1.4    1.0
                           0.7
                           0.6    6.2
B.  GROWING SEASON (May through October).
Year
         % Data     % Occurrence of hourly concentrations for given ranges (ppb)2
          Capt'     <10   10-20   20-30 30-40  40-50 50-60   60-70 70-80    *80
            88
1980
1981
1982
1983
1984
1985
1986
1987
1988
All Years   88
76.0   13.9
1.8
1.5
0.8
0.8
0.6
0.4
4.2
                     76.0    13.9
               1.8
       1.5    0.8    0.8     0.6
                           0.4    4.2
C  BY MONTH5.
Month
Jan
Feb
Mar
Apr
May
Juti
Jul
Aug
Sep
Oct
Nov
Dec
% Data
Capt'
100
94
82
96
36
98
100
96
100
100
93
85
% Occurrence of hourly concentrations for given ranges
<10 10-20 20-30 30-40 40-50 50-60 60-70 70-80
54.5
49.0
723
763
49.1
54.2
100.0
872
76.2
71.4
0.0
81.7
12.4
10.4
8.4
3.0
9.4
13.6
0.0
52
23.8
28.6
49.4
10.1
12
62
3.1
2.6
52
43
0.0
2.9
0.0
0.0
50.4
82
5.1
5.7
10
25
6.0
4.4
0.0
1.7
0.0
0.0
0.1
0.0
3.4
3.9
23
2,7
14
18
0.0
0.6
0.0
0.0
0.0
0.0
1.9
17
1.8
13
3.0
14
0.0
0.7
0.0
0.0
0.0
0.0
0.7
11
13
13
3.7
1.6
0.0
0.1
0.0
0.0
0.0
0.0
0.4
14
1.0
0.4
1.1
1.7
0.0
03
0.0
0.0
0.0
0.0
(PPb)2
*80
14.4
15.6
7.9
9.8
202
14.5
0.0
13
0.0
0.0
0.0
0.0
1.  % Data Capture «= # valid hours / (total # hours in averaging period) * 100.
Z  % Occurrence = % of valid hours with SOj concentrations in a given range.
3.  Statistics for monthly composites over the period of record.

-------
ALBUQUERQUE
      NEW MEXICO
           BIOGRAPHIC INFORMATION
                                      	L
          Latitude
          Longitude
          Elevation (m)
          Landuse
          City Population
          Basin Population  -
          Start Summary
          End Summary
          Source of Data
 35.14° N
106.59° W
1600
Suburban/Commercial
331,767
500,331
January,  1980
June, 1986
SAROAD (320040015H02)

-------
                                    ALBUQUERQUE

                                   BASIC STATISTICS
A.  BY YEAR.
Year
1980
1981
1982
1983
1984
1985
1986
1987
198S
All Years
% Data
Capt'
94
96
99
96
96
66
44
.
-
96
% Occurrence
<10 10-20
97.5
96.1
97.9
98.6
98.6
97.5
78.5
.
-
963
B. GROWING SEASON
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
All Years
% Data
Capt1
97
98
98
96
99
67
29
.
-
97
2.4
3.7
2.0
1.4
1.4
2.4
213
.
-
3.6
of hourly concentrations for
20-30 30-40 40-50 50-60
0.1
0.2
0.1
0.1
0.1
0.1
0.1
.
-
0.1
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
0.0
0.0
0.0
0.0
0.0
0.0
.
-
0.0
given
60-70
0.0
0.0
0.0
0.0
0.0
0.0
0.0
.
-
0.0
ranges
70-80
0.0
0.0
0.0
0.0
0.0
0.0
0.0
.
-
0.0
(ppb)2
*80
0.0
0.0
0.0
0.0
0.0
0.0
0.1
.
-
0.0
(May through October).
% Occurrence
<10 10-20
993
98.9
99.6
100.0
99.7
993
89.5
.
-
99.0
0.7
1.0
0.4
0.0
03
0.7
10.5
.
-
1.0
of hourly concentrations for
20-30 30-40 40-50 50-60
0.0
0.1
0.0
0.0
0.0
0.1
0.0
.
-
0.1
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
0.0
0.0
0.0
0.0
0.0
0.0
.
-
0.0
given
60-70
0.0
0.0
0.0
0.0
0.0
0.0
0.0
.
-
0.0
ranges
70-80
0.0
0.0
0.0
0.0
0.0
0.0
0.0
.
-
0.0
(PRO)2
tSO
0.0
0.0
0.0
0.0
0.0
0.0
0.0
.
-
0.0
C BY MONTH3.
Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
% Data
Capt;
82
100
99
93
99
95
97
96
99
99
96
99
% Occurrence
<10 10-20
93.5
94.2
93.2
95.7
98.5
98.4
99.9
99.6
99.6
97.8
93.1
91.4
6.4
5.8
6.8
43
1.5
1.6
0.1
0.4
0.4
2.1
6.6
8.2
of hourly concentrations for
20-30 30-40 40-50 50-60
0.2
0.1
0.1
0.0
0.0
0.0
0.0
0.1
0.0
0.1
03
0.4
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
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
0.0
0.0
given
60-70
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
ranges
70-80
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
(PPb)2
*80
0.0
0.0
0.0
0.1
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.  % Data Capture = # valid hours / (total # hours in averaging period) * 100.
2.  % Occurrence «= % of valid hours with SO^ concentrations in a given range.
3.  Statistics for monthly composites over the period of record.

-------
BAYARD
      NEW MEXICO
       BIOGRAPHIC INFORMATION
                                   	JL.
      Latitude
      Longitude
      Elevation (m)
      Landuse
      City Population
      Basin Population
      Start Summary
      End Summary
      Source of Data
 32.76° N
108.13° W
1785
Suburban/Industrial
3,036
167,792
January,  1980
December, 1986
SAROAD (320090001F01)

-------
A. BY YEAR.
                                          BAYARD
                                    BASIC STATISTICS

Year
1980
19811
19812
1983
1984
1985
1986
1987
19(58
All Years
% Data
Capt7
95
87
90
94
92
92
93
.
-
92
% Occurrence
<10
893
873
92.0
823
87.1
90.0
84.0
.
-
87.4
B. GROWING SEASON

Year
1980
1981
1982
1983
19>84
1985
1986
1981
1988
All Years
% Data
Capt7
95
90
93
94
90
92
93
.
-
93
10-20
2.7
3.4
2.8
7.7
4.9
4.8
9.9
.
-
5.2
of hourly concentrations for
20-30
23
32
1.7
2&
25
2.1
2.6
.
•
25
30-40
1.7
1.4
0.8
1.4
1.7
1.0
1.0
.
-
13
40-50
0.7
0.9
05
1.1
0.9
0.7
0.7
.
-
0.8
50-60
1.1
1.1
0.4
1.0
0.7
03
05
.
-
0.7
given
60-70
0.5
0.6
03
0.7
0.4
03
0.2
.
-
0.4
ranges
70-80
03
0.2
0.2
05
03
0.2
0.2
.
-
03
(ppb)2
*80
1.4
1.9
13
2.6
1.4
0.6
0.8
.
-
1.4
(May through October).
% Occurrence
<10
93.8
87.9
97.4
85.4
90.0
90.9
88.7
.
-
90.6
10-20
1.7
3.7
1.1
4.6
3.4
4.6
6.6
.
-
3.7
of hourly concentrations for
20-30
12
3.6
05
28
23
2,1
2.1
-
-
2.1
30-40
12
1.0
0.2
13
1.4
0.9
0.8
.
-
1.0
40-50
0.4
0.9
0.1
12
1.0
0.7
0.7
.
-
0.7
50-60
0.9
0.9
0.2
12
05
02
0.4
.
-
0.6
given
60-70
0.2
0.4
0.1
0.6
0.4
0.2
0.2
.
-
03
ranges
70-80
0.2
03
0.1
05
0.1
0.1
0.1
.
-
0.2
(ppb)2
*80
05
1.1
03
2.4
0.9
03
03
.
-
0.8
C BY MONTH5.
<
Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
% Data
Capt7
87
91
90
92
92
93
94
90
94
93
93
93
% Occurrence
<10
80.1
87.4
912
91.0
92.9
91.9
92.1
90.1
90.1
86.7
813
73.1
10-20
63
43
2.9
33
3.1
33
32
3.9
4.1
4.4
8.9
14.2
of hourly concentrations for
20-30
3.8
2,\
1.9
1.9
1.4
15
1.9
23
22
3.0
2.8
4.4
30-40
2.1
1.4
12
1.4
1.0
1.0
0.8
0.9
0.7
13
1.4
2.1
40-50
1.4
0.8
05
0.6
0.4
0.7
0.7
0.9
0.8
0.8
1.1
1.1
50-60
12
1.1
0.4
0.6
0.4
05
05
0.6
0.7
\2
0.9
0.9
given
60-70
0.9
0.7
0.2
0.4
0.1
03
0.2
0.4
03
0.5
05
0.9
ranges
70-80
0.6.
03
0.0
0.1
0.1
0.1
0.1
02
02
0.4
05
0.6
(PPb)2
tSO
3.6
2.0
0.7
0.7
05
0.7
0.4
0.7
1.0
1.7
2.4
2.8
1.  % Data Capture - # valid hours / (total # hours in averaging period) * 100.
2.  % Occurrence - % of valid hours with SOj concentrations in a given range.
3.  Statistics for monthly composites over the period of record.

-------
BOUNTIFUL
           UTAH
         BIOGRAPHIC INFORMATION
        Latitude
        Longitude
        Elevation (m)
        Landuse
        City Population
        Basin Population
        Start Summary
        End Summary
        Source of Data
 40.90° N
111.88° W
1348
City Center/Commercial
32,877
1,154,361
January,  1980
December, 1986
SAROAD (460060001F01)

-------
A. BY YEAR.
                                       BOUNTIFUL
                                    BASIC STATISTICS
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
All Years
% Data
Capt7
90
88
99
83
99
93
99
.
-
93
% Occurrence of hourly concentrations for
<10 10-20 20-30 30-40 40-50 50-60
55.1
625
60.9
66.7
60.5
64.1
68.0
.
-
625
B. GROWING SEASON
Year
1980
1981
1982
1933
1984
1985
1986
1987
1988
All Years
% Data
Capt7
81
78
99
77
99
94
99
-
-
90
21.8
203
24.2
21.7
223
20.1
19.1
.
-
21.4
8.9
72
8.4
6.7
8.1
73
5.6
.
-
15
4.4
4.2
33
2.8
3.5
4.1
2.6
.
-
35
3.1
1.9
15
12
2.0
1.9
1.6
.
-
1.9
1.8
1.4
0.8
0.6
12
1.1
0.9
.
-
1.1
given
60-70
1.1
0.9
0.4
0.2
0.9
05
0.7
.
-
0.7
ranges
70-80
0.8
0.7
02
0.1
0.8
0.2
05
.
-
05
(ppb)'
^80
3.0
0.9
0.2
0.2
0.6
0.7
1.0
.
-
0.9
(May through October).
% Occurrence
<10 10-20
65.2
71.1
66.9
74.0
73.5
76.2
77.8
.

72.2
21.4
19.1
23.1
17.4
19.0
15.7
16.2
.
-
18.8
of hourly concentrations for
20-30 30-40 40-50 50-60
6.9
5.6
6.1
5.4
5.0
4.2
3.6
.
-
5.2
2.6
21
2.4
1.7
15
20
15
.
•
1.9
1.6
0.9
0.8
0.8
0.5
0.9
0.5
-
-
0.8
0.9
0.4
0.5
0.4
0.2
0.5
0.2
.
-
0.4
given
60-70
0.6
05
0.1
0.1
0.1
02
0.1
.
-
0.2
ranges
70-80
03
0.1
0.1
0.1
0.1
0.1
0.1
.
-
0.1
(ppb)2
*80
0.5
0.2
0.1
0.1
0.1
0.2
0.1
.
-
0.2
C BY MONTH3.
i
Month
Jan
Feb
Mar
Apr
May
Jim
Jul
Aug
Sip
Oct
Nov
Etec
% Data
Capt7
97
100
98
92
94
89
98
92
82
81
99
94
% Occurrence
<10 10-20
30.9
48.1
70.6
783
74.7
74.0
73.9
74.8
69.2
65.5
54.4
39.1
26.7
25.1
20.2
14.6
17.8
17.5
193
17.7
20.5
20.7
26.2
293
of hourly concentrations for
20-30 30-40 40-50 50-60
14.0
11.1
52
4.0
4.7
5.1
43
43
5.9
7.4
9.8
13.2
92
5.6
23
1.6
1.4
1.7
1.6
1.9
23
29
45
7.0
5.9
3.6
0.7
0.7
0.8
1.0
0.4
05
0.8
1.7
2.2
3.9.
4.4
22
0.4
0.2
03
0.5
0.2
0.4
05
0.7
1.2
23
given
60-70
2£
13
03
0.4
02
02
02
02
0.4
0.4
0.6
1.1
ranges
70-80
2.1
0.7
0.1
0.2
0.1
0.1
0.1
0.1
0.1
03
0.4
1.0
(ppb)2
tSO
3.6
2.2
02
0.1
0.1
0.2
0.1
0.1
0.2
0.4
0.6
33
1.  % Data Capture » # valid hours / (tout * hours in averaging period) * 100.
2.  % Occurrence « % of valid hours with SOj concentrations in a given range.
3.  Statistics for monthly composites over the period of record.

-------
BELLINGHAM
      WASHINGTON
          BIOGRAPHIC INFORMATION
         Latitude
         Longitude
         Elevation (m)
         Landuse
         City Population
         Basin Population
         Start Summary
         End Summary
         Source of Data
 48.75° N
122.48° W
17
City Center/Industrial
45,794
529,337
January, 1983
December, 1986
SAROAD (490140011102)

-------
 A BY YEAR.
                                       BELLINGHAM
                                     BASIC STATISTICS

Year
1980
1981
1982
1983
1984
1985
1986
1987
19SS
All Years
% Data
Capt7
.
.
.
79
95
79
86
-
-
85
% Occurrence
<10
.
.
.
683
833
77.8
58.2
.
-
72.1
B. GROWING SEASON

Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
All Years
% Data
Capt'
.
.
.
90
95
82
84
.
-
88
10-20
.
.
.
16.2
10.2
15.6
29.1
.
-
17.6
of hourly concentrations for
20-30
.
.
.
5.8
3.9
3.5
7.4
.
•
5.1
30-40
.
.
.
3.2
1.8
13
2.7
.
-
12
40-50
.
.
.
1.9
0.5
0.5
1.4
. -
-
1.1
50-60
.
.
.
1.1
0.2
0.4
0.6
-
-
0.6
given
60-70
.
.
.
12
0.1
0.2
0.2
-
-
0.4
ranges
70-80
.
.
.
0.6
0.1
0.2
0.2
-
-
0.2
(PPb)2
280
.
.
.
15
0.1
05
03
.
-
0.6
(May through October).
% Occurrence
<10
.
.
.
54.9
88.2
65.2
50.0
.
-
65.1
10-20
.
.
.
22.3
7.9
233
33.6
.
-
213
of hourly concentrations for
20-30
.
.
.
8.0
2.6
5.8
9.7
.
-
6.4
30-40
.
.
.
4.5
1.1
23
3J
.
-
2.9
40-50
.
.
.
18
0.2
0.9
1.8
.
-
1.4
50-60
.
.
.
1.8
0.1
0.8
0.6
.
-
0.8
given
60-70
.
.
.
10
0.0
03
0.2
.
-
0.6
ranges
70-80
.
.
.
1.0
0.1
0.4
0.2
.
-
0.4
(PPb)2
*80
.
.
.
2.6
0.0
1.0
0.4
.
-
1.0
C BY MONTH3.

Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
% Data
Capt7
81
84
88
80
92
81
89
90
93
82
81
78
% Occurrence
<10
80.2
80.2
763
793
71.9
55.1
643
612
68.4
68.7
83.1
80.0
10-20
12.9
13.7
14.4
10.8
153
25.9
22.6
21.9
19.7
23.5
125
17.5
of hourly concentrations for
20-30
42
4.1
5.1
5.2
6.4
8.5
5.9
6.7
6.5
45
2.6
13
30-40
1.5
1.5
2.1
2.6
32
45
18
18
11
1.9
0.9
0.6
40-50
0.7
0.4
13
1.0
13
23
1.5
1.6
1.4
05
0.4
03
50-60
0.2
0.0
03
0.6
0.5
15
0.9
13
0.4
0.4
03
0.2
given
60-70
0.1
0.0
0.2
03
0.8
0.9
0.6
0.8
0.5
0.1
0.0
0.0
ranges
70-80
0.1
0.0
0.2
03
03
0.6
03
0.8
0.2
0.1
0.0
0.0
(ppb)'
*80
0.1
0.1
0.1
0.1
0.4
0.6
1.0
19
0.8
0.2
0.2
0.1
1.  % Data Capture -> # valid hours / (total # hours in averaging period) • 100.
2.  % Occurrence « % of valid hours with SO; concentrations in a given range.
3.  Statistics for monthly composites over the period of record.

-------
KING COUNTY
      WASHINGTON
           BIOGRAPHIC INFORMATION
         Latitude
         Longitude
         Elevation (m)
         Landuse
         City Population
         Basin Population
         Start Summary
         End Summary
         Source of Data
 47.35° N
122.46° W
126
Rural/Near Urban
Not in City
2,240,288
January, 1980
April, 1986
SAROAD (490980014102)

-------
A. BY YEAR.
                                      KING COUNTY
                                     BASIC STATISTICS
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
All Years
% Data
Capt;
94
98
98
93
96
91
32
.
-
95
% Occurrence
<10 10-20
68.1
64.0
59.9
65.4
54.2
52.9
783
.
-
61.7
B. GROWING SEASON
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
All Years
% Data
Capt'
96
99
98
92
92
99
.
.
-
96
22.4
22.4
25.9
23.9
32.1
37.2
18.8
.
-
26.8
of hourly concentrations for
20-30 30-40 40-50 50-60
4.9
6.1
65
5.6
7.1
6.1
2.1
.
-
5.8
1.8
2.4
2.6
2.1
2.9
22
0.6
.
-
23
0.7
13
1.4
0.8
13
0.8
0.1
.
-
1.0
0.4
1.0
1.0
0.6
0.6
0.2
0.1
.
-
0.6
given
60-70
03
0.6
0.7
05
0.6
0.2
0.0
.
-
0.4
ranges
70-80
03
0.4
0.4
0.2
0.2
0.1
0.0
.
-
03
(ppb)2
*80
0.9
1.8
1.6
0.8
0.9
03
0.1
.
-
1.0
(May through October).
% Occurrence
<10 10-20
79.6
68.4
72.1
69.6
513
58.6
.
.
-
66.7
15.5
21.8
19.1
203
36.4
373
.
.
-
25.1
of hourly concentrations for
20-30 30-40 40-50 50-60
Z7
4.6
4.5
5.6
5.8
2.8
.
.
-
43
1.0
1.9
1.5
1.7
2.9
0.8
.
.
-
1.6
0.4
0.8
0.9
0.8
1.2
0.2
.
.
-
0.7
0.2
0.6
05
0.4
0.6
0.1
.
.
-
0.4
given
60-70
0.1
03
0.4
05
0.6
0.1
.
.
-
03
ranges
70-80
0.1
03
0.2
03
0.2
0.0
.
.
-
0.2
(ppb)'
*80
05
1.2
0.7
0.9
0.9
0.0
-
.
-
0.7
C BY MONTH5.
I
Month
Jan
Fcb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
% Data
Capt;
96
95
85
96
95
96
90
95
99
99
98
99
% Occurrence
<10 10-20
543
54.5
603
66.1
673
71.4
73.8
65.4
68.1
55.0
53.2
53.9
28.9
30.0
28.9
23.9
24.0
21.9
22.0
28.5
24.5
29.1
29.5
29.6
of hourly concentrations for
20-30 30-40 40-50 50-60
8.7
73
5.7
4.2
3.9
2.7
2.4
3.7
43
8.5
9.1
8.8
33
3.0
2.0
10
1.6
15
0.9
1.0
13
35
3.4
33
IS
1.7
0.8
0.9
0.9
0.8
0.1
03
0.7
1.4
13
1.6
0.9
0.8
0.7
0.7
05
0.4
0.1
03
0.2
0.7
1.1
0.6
given
60-70
0.7
0.8
03
05
0.4
03
0.1
0.2
03
0.6
0.7
05
ranges
70-80
03
05
03
03
02
02
0.1
0.1
0.2
03
0.4
03
(PPb)2
*80
1.4
1.4
1.0
13
1.1
0.7
0.4
0.7
0.4
0.9
1.4
1.3
1.  % Data Capture = # valid hours / (total # hours in averaging period) • 100.
2.  % Occurrence « % of valid hours with SO^ concentrations in a given range.
3.  Statistics for monthly composites over the period of record.

-------
LONGVIEW
      WASHINGTON
         BIOGRAPHIC INFORMATION
        Latitude
        Longitude
        Elevation (m)
        Landuse
        City Population
        Basin Population
        Start Summary
        End Summary
        Source of Data
 46.14° N
122.94° W
14
City Center/Residential
31,052
2,163,762
January, 1980
December, 1981
SAROAD (491140005F01)

-------
                                        LONGVIEW
                                    BASIC STATISTICS
 A.  BY YEAR.
 Year
% Data
 Capt7
 % Occurrence of hourly concentrations for given ranges (ppb)2
<10   10-20   20-30  30-40  40-50 50-60   60-70  70-80   *80
 1980       91
 1981       89
 1982
 1983
 19&*
 1985
 1986
 1987
 1988

 All Years    90
            66.1   31.4
            8Z5   163
               1.9
               0.9
0.4
0.2
0.2
0.1
0.1
0.1
0.1
0.1
0.0
0.0
0.0
0.0
            743   23.8
               1.4
03     0.1
       0.1
       0.1
       0.0    0.0
B.  GROWING SEASON (May through October).
% Data
Year Capt7
1980 98
1981 82
1982
1983
1984
1985
1986
1987
19138
% Occurrence of hourly concentrations for given ranges (ppb)2
<10 10-20 20-30 30-40 40-50 50-60 60-70 70-80 *80
63.8 34.0 1.6 0.5 02 0.1
86.0 112 12 03 0.1 0.1
.... .
.... .
.... .
.
.... .
.... .
.... . .
0.0 0.0 0.0
0.1 0.0 0.0
...
...
...
...
...
...
...
All Years    90
            74.8    23.1
               1.4     0.4
       0.1
       0.1     0.1
              0.0    0.0
C  BY MONTH5.
Month
Jan
Fcb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
% Data
Capt7
91
95
99
80
65
90
88
99
97
99
94
83
% Occurrence of hourly concentrations for given ranges (ppb)2
<10 10-20 20-30 30-40 40-50 50-60 60-70 70-80 *80
63.0
112
76.5
91.1
89.8
523
91.9
76.7
64.8
710
79.8
67.6
35.1
26.1
22.9
83
9.4
46.8
7.8
21.7
31.7
23.1
18.9
29.6
15
22
0.4
0.5
0.5
0.8
0.2
1.1
2,4
3.1
1.2
23
03
0.2
0.0
0.1
0.1
0.0
0.0
03
0.9
12
0.1
0.4
0.0
0.2
0.1
0.0
0.1
0.1
0.0
0.1
0.2
03
0.0
0.1
0.0
0.0
0.0
0.0
0.0
0.1
0.0
0.0
0.0
0.2
0.0
0.0
0.1
0.0
0.1
0.0
0.0
0.0
0.0
0.1
0.0
0.1
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
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
1.  % Data Capture - # valid hours / (total # hours in averaging period) * 100.
2.  % Occurrence «= % of valid hours with SOj concentrations in a given range.
3.  Statistics for monthly composites over the period of record.

-------
LONGVIEW
      WASHINGTON
         BIOGRAPHIC INFORMATION
        Latitude
        Longitude
        Elevation (m)
        Landuse
        City Population
        Basin Population
        Start Summary
        End Summary
        Source of Data
 46.12° N
122.95° W
3
Suburban/Industrial
31,052
2,163,762
January, 1983
December, 1986
SAROAD (491140007F01)

-------
 A. BY YEAR.
                                         LONGVIEW
                                     BASIC STATISTICS

Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
All Years
% Data
Capt7
.
.
.
97
98
94
85
.
-
94
% Occurrence
<10
.
.
-
913
89.2
73.4
77.6
.
-
82.9
B. GROWING SEASON

Year
1980
1981
1982
1983
1984
1985
1986
1987
IS'88
All Years
% Data
Capt7
.
.
.
96
98
97
74
.
-
91
10-20
.
.
.
8.2
9.4
20.8
19.0
.
-
14.4
of hourly concentrations for
20-30
.
,
.
0.4
1.0
43
23
.
-
2.0
30-40
.
.
.
0.1
0.2
0.9
0.6
.
-
0.5
40-50
.
.
.
0.1
0.1
03
02
.
-
0.2
50-60
.
.
.
0.1
0.1
0.1
0.1
.
-
0.1
given
60-70
*
.
.
0.1
0.1
0.1
0.1
.
-
0.1
ranges
70-80
.
.
.
0.0
0.1
0.1
0.1
.
-
0.1
(ppb)2
*80
.
.
.
0.0
0.1
0.1
0.2
.
-
0.1
(May through October).
% Occurrence
<10
.
-
.
90.9
89.2
78.8
85.2
.
-
86.0
10-20
.
.
.
8.5
10.0
15.8
12.2
-
-
11.6
of hourly concentrations for
20-30
.
.
.
03
0.8
4.1
1.6
.
-
1.7
3(MO
.
-
.
0.1
0.1
0.9
05
.
-
0.4
40-50
.
-
.
0.1
0.0
0.2
0.2
.
-
0.1
50-60
.
-
.
0.1
0.0
0.1
0.2
.
-
0.1
given
60-70
.
.
.
0.1
0.0
0.1
0.1
.
-
0.1
ranges
70-80
.
-
.
0.0
0.0
0.0
0.0
.
-
0.0
(ppb)2
,80
.
-
.
0.0
0.0
0.0
0.1
.
-
0.1
C BY MONTH5.

Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
% Data
Capt7
87
99
97
99
96
81
85
97
98
89
92
99
% Occurrence
<10
71.6
82.0
86.0
83.2
91.4
89.9
81.1
81.8
87.6
84.8
89.4
69.9
10-20
23.7
15.9
123
14.8
7.6
9.0
14.6
15.7
10.0
12.7
9.1
23.4
of hourly concentrations for
20-30
2.9
1.8
1.4
1.4
0.6
0.8
3.0
Zl
1.7
2.1
1.1
4.5
30-40
0.7
0.2
03
02
02
03
0.6
03
0.6
03
03
1.0
40-50
0.4
0.1
0.0
0.2
0.1
0.0
0.4
0.1
0.2
0.1
0.0
0.5
50-60
03
0.0
0.0
0.1
0.1
0.0
03
0.1
0.1
0.0
0.0
03
given
60-70
0.2
0.0
0.0
0.0
0.0
0.0
0.1
0.1
0.0
0.1
0.0
03
ranges
70-80
0.1
0.1
0.0
0.1
0.0
0.0
0.0
0.0
0.0
0.0
0.1
0.0
(PPb)2
*80
0.1
0.1
0.0
0.1
0.1
0.1
0.0
0.0
0.0
0.0
0.1
0.1
1.  % Data Capture - # valid hours / (total # hours in averaging period) • 100.
2.  % Occurrence •= % of valid hours with SO; concentrations in a given range.
3.  Statistics for monthly composites over the period of record.

-------
OLYMPIC PORT ANGELES
      WASHINGTON
                 BIOGRAPHIC INFORMATION
               Latitude
               Longitude
               Elevation (m)
               Landuse
               City Population
               Basin Population
               Start Summary
               End Summary
               Source of Data
 48.07° N
123.41° W
129
Suburban/Residential
Not in City
529,337
January, 1982
December, 1984
SAROAD (490566004A05)

-------
A.  BY YEAR.
                              OLYMPIC PORT ANGELES
                                    BASIC STATISTICS
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
All Years
% Data
Capt7
.
.
97
83
92
.
.
.
-
93
% Occurrence
<10 10-20
.
.
96.7
95.8
99.6
.
.
.
-
97.4
B. GROWING SEASON

Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
All Years
% Data
Capt7
.
.
99
81
98
.
.
.
-
98
.
.
1.4
2.0
03
.
.
.
-
12
of hourly concentrations for
20-30 30-40 40-50 50-60
.
.
0.0
0.0
0.1
.
.
.
-
0.0
.
.
0.7
0.9
0.0
.
.
.
-
0.5
.
.
0.5
0.6
0.1
.
.
.
-
03
.
-
03
0.4
0.0
.
.
.
•
0.2
given
60-70
.
.
0.1
0.2
0.0
.
.
.
-
0.1
ranges
70-80
.
.
0.0
0.0
0.0
.
.
.
-
0.0
(ppb)'
.
.
03
0.2
0.0
.
.
.
-
0.2
(May through October).
% Occurrence
<10
.
.
94.7
93.8
99.4
.
.
.
-
96.1
10-20
.
.
zo
Z5
0.5
.
.
.
-
1.6
of hourly concentrations for
20-30
.
.
0.0
0.0
0.1
-
.
.
-
0.1
30-40
.
.
12
13
0.0
.
.
.
-
0.8
40-50
.
. •
0.7
1.0
0.1
.
.
.
-
0.5
50-60
.
.
0.5
0.8
0.0
.
.
.
-
0.4
given
60-70
.
.
03
03
0.0
.
.
.
-
0.2
ranges
70-80
.
.
0.0
0.0
0.0
.
.
.
-
0.0
(PPb)2
,80
.
.
0.6
03
0.0
.
.
.
-
03
C BY MONTH5.

Month
Jan
Fcb
Mar
Apr
M^y
Jun
Jul
Aug
Sep
Get
Nov
Dsc
% Data
Capt7
94
100
85
63
99
97
98
98
97
99
91
98
% Occurrence
<10
98.9
98.8
97.2
99.1
97.0
96.6
97.4
96.4
92.8
96.6
99.0
99.8
10-20
0.8
0.7
1.7
0.4
1.6
1.7
0.9
1.4
Z9
1.4
0.8
0.1
of hourly concentrations for
20-30
0.0
0.0
0.0
0.0
0.1
0.0
0.0
0.1
0.0
0.0
0.0
0.0
30-40
03
03
0.6
0.1
05
05
0.6
1.0
13
0.8
0.1
0.0
40-50
0.1
02
0.4
0.1
03
0.6
0.4
0.4
1.0
0.5
0.2
0.0
50-60
0.0
0.0
0.1
0.1
0.1
03
0.5
0.4
0.8
0.4
0.1
0.0
given
60-70
0.0
0.0
0.1
0.0
0.2
0.1
0.1
0.2
05
0.1
0.0
0.0
ranges
70-80
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
(PPb)2
t80
0.0
0.0
0.1
0.1
0.1
OJ2
02
0.2
0.8
0.2
0.0
0.0
1.  % Data Capture - # valid hours / (total # hours in averaging period) • 100.
Z  % Occurrence « % of valid hours with SO; concentrations in a given range.
3.  Statistics for monthly composites over the period of record.

-------
SPOKANE
      WASHINGTON
        BIOGRAPHIC INFORMATION
       Latitude
       Longitude
       Elevation (m)
       Landuse
       City Population
       Basin Population
       Start Summary
       End Summary
       Source of Data
 47.67° N
117.42° W
589
Suburban/Residential
171,300
625,936
January,  1980
September, 1986
SAROAD (492040013F01)

-------
 A.  BY YEAR.
                                         SPOKANE
                                    BASIC STATISTICS

Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
All Years
% Data
Capt'
97
92
98
96
92
81
64
.
-
93
% Occurrence of hourly concentrations for
<10
34.1
6ZO
76.4
77.9
77.0
77.0
81.4
.
-
68.6
B. GROWING SEASON

Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
All Years
% Data
Capt'
95
99
98
97
97
86
64
.
-
93
10-20
47.2
25.6
16.1
15.5
153
15.9
14.1
.
-
21.9
20-30
11.5
7.0
4.5
4.4
4.9
4.8
3.2
.
-
5.9
30-40
3.6
2.7
1.5
13
13
1.4
0.6
.
-
1.8
40-50
1.7
13
0.7
0.6
0.6
0.4
0.2
.
-
0.8
50-60
0.7
0.7
0.4
0.2
0.5
03
0.2
.
-
0.4
given
60-70
0.6
03
0.1
0.1
0.2
0.2
0.1
.
-
0.2
ranges
70-80
02
0.1
02
0.1
0.1
0.1
0.1
.
-
0.1
(PPb)2
*80
0.4
03
0.2
0.1
0.1
0.1
0.1
.
-
0.2
(May through October).
% Occurrence
<10
25.6
70.4
83.7
85.2
85.4
85.6
88.5
.
•
74.1
10-20
573
22.9
13.0
11.4
10.0
11.8
10.4
.
-
20.0
of hourly concentrations for
20-30
113
3.8
25
2.1
2.7
1.8
0.9
.
-
3.8
30-40
3.1
13
0.5
0.4
0.9
0.4
0.1
.
-
1.0
40-50
1.6
0.5
0.2
0.4
0.4
0.1
0.1
.
-
0.5
50-60
0.6
05
0.1
0.2
0.4
0.2
0.0
.
-
03
given
60-70
0.2
0.2
0.0
0.1
0.1
0.1
0.0
.
-
0.1
ranges
70-80
0.1
0.1
0.1
0.1
0.1
0.0
0.0
.
-
o.i
(PPt>)2
*80
0.2
0.2
0.1
0.1
0.1
0.0
0.1
.
-
0.1
C BY MONTH5.

Month
Jan
Feb
Mar
Apr
May
Jinn
Jul
Aug
Scp
Oct
Nov
Dec
% Data
Capt;
97
99
83
86
95
98
88
96
85
98
99
93
% Occurrence
<10
523
59.7
78^
74.4
83.6
85.8
75.0
70.7
663
612
61.9
49.9
10-20
28.1
26.0
17.4
21.5
13.9
12.7
21.4
24.5
22.7
26.1
225
27.5
of hourly concentrations for
20-30
12.0
8.6
32
2.7
1.6
1.0
22
33
73
8.0
9.5
12.9
30-40
4.1
3.0
0.6
0.7
0.4
03
0.7
0.7
2.0
2.1
3.4
4.6
40-50
1.5
\2
03
03
0.1
0.1
03
0.4
0.8
1.4
15
23
50-60
0.8
0.6
02
02
0.1
0.1
0.2
0.2
0.4
0.8
0.6
1.0
given
60-70
0.5
0.4
0.1
0.1
0.1
0.0
0.1
0.1
0.2
0.2
03
1.0
ranges
70-80
0.2
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1
03
(ppb)2
*80
0.6
0.5
0.1
0.1
0.1
0.1
0.1
0.1
0.2
0.1
0.1
0.5
1.  % Data Capture » # valid hours / (total # hours in averaging period) * 100.
2.  % Occurrence - % of valid hours with SOj concentrations in a given range.
3.  Statistics for monthly composites over the period of record.

-------
        APPENDIX 3
OZONE INFORMATION BY STATE
            123

-------
APACHE-SITGREAVES
 NATIONAL FOREST
        ARIZONA
              BIOGRAPHIC INFORMATION
             Latitude
             Longitude
             Elevation (m)
             Basin Height (m)  -
             Landuse
             City Population
             Basin Population  -
             Start Summary
             End Summary
             Source of Data
 33.75° N
109.00° W
2462
2307.7
Forest
Not In A City
167,792
January, 1980
January, 1984
AIRS (04-011-0110)

-------
                                       Apache-Sitgreaves National  Forest

                                                BASIC STATISTICS
  A.  BY YEAR.

         %Data  % Valid
Year      Capt'   Days2    S
     Percentiles and Arithmetic Mean (ppb)
  10     25    50  Meanntd    75     90
             % hours £ x (ppb)      Days £ x
  95     60     80     100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
95
95
91
90
2
.
.
.
-
-
75
94
95
91
89
2
.
.
-
-
-
74
B. BY GROWING
*
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
'•> Data
Capt
%
93
95
92
.
.
-
-
.
-
94
% Valid
Days
95
93
95
91
-
.
-
-
.
-
93
30 30 35 45 47.4*13 55 65 70 23
25 25 30 35 353*07 40 45 50 0
30 30 35 40 417*09 45 55 55 4
25 25 35 35 37.9*09 40 50 55 3
25 25 30 30 31.4*04 35 35 35 0
.
..... ....
... ....
..... ....
-
25 30 35 40 40.4*11 45 55 60 8
SEASON (May through October).
Percentiles and Arithmetic Mean (ppb) S063 SOS4
5 10 25 50 Mean*std 75 90 95 (ppm hr)
30 35 40 55 51.6*14 60 70 75 108 7
25 25 30 35 35.8*08 40 45 50 20
30 30 40 45 43.1*09 50 55 55 12 0
20 25 30 40 38.6*11 45 55 55 12 0
.
.
.
.
.
-
25 30 35 40 423*12 50 60 65 -
1000
0000
0000
0000
0000
.
...
.
.
-
0000

% hours £ x (ppb) Days £ x
60 80 100 120 120 ppb
39 2 0 0 0
10000
50000
50000
.
.
.
.
.
	
12 1 0 0 0
  C  BY MONTH 5.

       %Data  % Valid
Month   Capt   Days   5
  Peroentiles and Arithmetic Mean (ppb)
10    25    50    Mean*sul  75      90
     S06  SOS*      % hours £ x (ppb)   Days £ x
95   (ppmhr)     60   80    100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
S*P
Oct
Nov
Dec
78
79
91
91
86
97
95
97
94
97
98
95
77
75
93
91
83
98
94
97
93
96
98
95
25
25
35
35
35
35
25
25
20
20
25
25
30
30
35
35
35
35
30
30
25
25
25
30
30
35
40
40
45
40
35
35
30
30
30
30
35
35
45
45
50
50
40
40
35
35
35
35
35.0*07
38.2*07
443*08
46.9*09
51.8*12
49.5*10
433*12
417*11
33.9*07
35.0*08
33.9*06
333*05
40
40
50
55
60
55
50
50
40
40
35
35
45
SO
55
60
70
60
60
55
45
45
40
40
45
50
55
60
70
65
65
60
45
45
45
40
1
1
2
7
15
11
8
5
0
0
0
0
0
0
0
0
2
1
1
1
0
0
0
0
0
0
4
14
29
22
15
9
0
0
0
0
0
0
0
0
2
1
1
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
0
0
0
0
0
0
0
1.  % Data Capture - * valid hours / (total * hours in averaging period) • 100.  Av. period BY YEAR - 8760 hrs; BY G.S. - 4416 hr*.'
2.  % Valid Days -# days with 75 % of hours between 09:00 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index: S06 - I [OjJ/1000, where [Oj] is hourly ozone concentrations £ 60 ppb (Lee et ai. 1988).
4.  Cumulative Index: SOS - I [O.jJ/1000, where [Oj] is hourly ozone concentrations £ 80 ppb (Lee et »L 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) «= 506(08) • (# hours in that month) / (# valid hours).

-------
                               Apache-Sitgreaves National Forest

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.
         % Days
 Year   Unclassified*
   Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C.1)2
A3  A4   A5  A6  Bl  B2  B3   B4   B5   Cl  C2  C3  C4   C5  C6  D4   E5
1980
1981
1982
1983
1984
1
-------
c
.0
'•£3
C3


'§
•o

•o
1-1
03
•O
C
03
4->
co


-------
COCHISE COUNTY
         ARIZONA
             BIOGRAPHIC INFORMATION
            Latitude
            Longitude
            Elevation (m)
            Basin Height (m) -
            Landuse
            City Population
            Basin Population -
            Start Summary
            End Summary
            Source of Data
 31.56° N
110.29° W
1401
1230.8
Suburban - Residential
24,937
167,792
January, 1980
August, 1985
AIRS (04-003-2003)

-------
                                                  Cochise County

                                                BASIC STATISTICS
  A.  BY YEAR (April through September).
         %Data  % Valid
 Year     dipt*   Days2    5
     Percentiles and Arithmetic Mean (ppb)
  10      25    50  Mean*std   75     90
             % hours fc x (ppb)       Days t x
   95     60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
27
40
30
28
33
39
.
.
.
-
33
27
40
31
27
33
39
.
.
.
-
33
13
17
9
14
14
9
-
.
.
-
13
18
22
13
17
18
15
.
.
.
-
17
30
31
20
26
27
26
.
.
.
-
26
45
40
28
36
36
34
.
.
.
-
37
44.4*19
39.4*12
29.8*13
35.8*14
36.4*14
34.1*13
.
.
.
-
36.5*15
58
49
39
48
45
44
.
.
.
-
47
68
55
49
54
54
51
.
.
.
-
55
73
58
53
57
61
55
.
.
-
-
60
23
4
1
2
5
2
.
.
.
-
6
2
0
0
0
1
0
.
.
.
-
0
0
0
0
0
0
0
.
.
-
-
0
0
0
0
0
0
0
.
.
.
-
0
0
0
0
0
0
0
.
.
.
-
0
  B.  BY GROWING SEASON (May through September).
       %Data  % Valid
Year    Capt    Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25     50   Meanistd  75     90
     S063 SOS*      % hours * x (ppb)   Days i x
95   (ppm hr)    60   80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
53
78
45
51
59
62
.
.
.
-
58
53
79
46
50
58
61
-
.
-
-
58
13
17
9
13
15
8
-
.
.
-
13
18
22
13
17
18
14
-
.
-
-
17
30
31
13
26
27
24
-
.
.
-
25
45
40
26
36
37
34
.
.
.
-
36
44.4*19
39.4*12
273*12
34.9*13
37.1*15
33.0*14
.
.
.
-
36.4*15
58
49
34
45
46
42
-
. .
.
-
47
68
55
44
53
55
51
-
.
.
-
55
73
58
50
56
61
55
-
.
.
-
60
38
8
0
2
11
4
-
.
.
-
-
5
0
0
0
2
0
-
-
.
-
-
23
4
0
1
6
2
-
.
.
-
6
2
0
0
0
1
0
.
.
.
-
0
0
0
0
0
0
0
-
.
.
-
0
0
0
0
0
0
0
-
.
.
-
0
0
0
0
0
0
0
.
.
.
•
0
  C  BY MONTH 5.

       % Data  % Valid
Month    Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50   Meaiusld  75     90
      S06 SOS*      % hours i x (ppb)   Days 2 x
 95    (ppm hr)    60    60   100    120   120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
-
.
65
76
54
78
77
71
.
.
•
-
.
64
77
S3
78
77
71
.
.
-
-
.
16
13
20
13
13
8
.
.
•
-
.
21
16
25
17
17
13
.
.
•
-
.
30
25
31
26
26
21
.
.
.
-
-
37
36
40
39
37
32
-
-
•
-
.
373*12
353*14
40.2*13
38.4±17
37.2*15
32.0*15
-
-
•
•
.
46
45
49
49
49
42
.
-
•
-
-
54
S3
57
59
56
52
-
.
•
-
.
58
57
60
71
63
58
-
.
•
-
.
2
2
4
6
4
2
-
-
•
-
.
0
1
1
1
1
0
-
-
•
-
.
4
3
7
10
7
3
-
.
•
-
.
0
0
0
1
0
0
-
.
-
-
.
0
0
0
0
0
0
.
-
-
-
.
0
0
0
0
0
0
-
-
-
-
.
0
0
0
0
0
0
-
-
•
1.  % Data Capture - * valid hours / (total * hours in averaging period) * 100. Av. period BY YEAR - 8760 hrs; BY G.S. - 4416 hit.
2.  % Valid Days - * days with 75 % of hours between 09:00 and 21:00 / (total * days) •  100 (Federal Register 1979).
3.  Cumulative Index:  S06 - £ (OjJAOOO, where [Oj] is hourly ozone concentrations 2 60 ppb (Lee et ml.  1988).
4.  Cumulative Index  SOS - Z [Oj)/1000, where [Oj] is hourly ozone concentrations t 80 ppb (Lee et al.  1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of S06(08) - 506(08) • (# hours in that month) / (# valid hours).

-------
                                      Cochise County

             DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS

A.  BY YEAR (March through September).
 Year
 % Days         Percent occurrence of diurnal ozone patterns as defined by Bahm et al (1990) (Figure 4C.1)2
Unclassified7   A3  A4  AS   A6  Bl  B2   B3  B4  B5  Cl  C2  C3   C4  C5  C6  D4  E5
1980
1981
1982
1983
1984
1985
1OQA

IQfiO
All Years
B. BY

Year
1980
1981
1982
1983
1984
1985
10R7
IQftfi
1989
All Years
2
6
9
2
4
12

-

6
GROWING
% Days
Unclassified7
2
6
8
2
2
8


-
5
12 23
14 12
16 9
9 18
8 4
11 5




12 11
SEASON
26
0
0
0
4
0




4
(May
0
0
0
0
0
0




0
3 13
0 5
3 41
1 13
0 22
3 19




2 18
5
21
18
21
22
19




18
15
37
9
19
27
30




24
0
4
0
8
8
3




4
0
0
0
0
0
0




0
0 2
0 6
1 2
3 9
2 5
1 9




1 6
1
1
0
0
0
1




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
through September).
Percent occurrence
A3 A4
12 22
14 12
13 1
10 18
5 4
10 4


-
11 10
AS
26
0
0
0
4
0


-
5
A6
0
0
0
0
0
0


-
0
of diurnal
Bl B2
4 13
0 5
4 46
1 14
0 19
3 21


-
2 18
ozone patterns
B3
5
22
25
21
24
21


-
20
as
B4 B5
15
37
6
18
29
26


-
23
0
4
0
6
8
2


-
4
defined
Cl
0
0
0
0
0
0


-
0
by Behm
C2 C3
0 2
0 6
1 3
2 10
2 5
1 10


-
1 6
etal
C4
1
1
0
0
0
1


-
1
(1990)
C5
0
0
0
0
0
0


-
0
(Figure
C6
0
0
0
0
0
0


-
0
4C.1)2
D4 E5
0 0
0 0
0 0
0 0
0 0
0 0


-
0 0
C BY MONTH (composited over years).
        % Days
 Month   Unclassified7
               Percent occurrence of diurnal ozone patterns >s defined by Behm et al (1990) (Figure 4C1)2
             A3 A4   AS  A6   Bl  B2  B3  B4   B5   Cl  C2  C3  C4  CS   C6 D4   E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Scp
Oct
Nov
Dec
1.
Z

-
.
18
4
8
7
2
5
.
.
-
-
.
20
17
16
6
5
12
.
.
-
% days with unidentified
Pattern identifier
greatest variation)
relates
-
.
18
15
13
7
7
11
.
.
•
diurnal
-
.
0 0
2 0
1 0
9 0
8 0
1 0
.
.
•
patterns in
	
.
0 20 7 29 S
4 23 10 24 3
0 1 15 36 10
1 15 28 21 3
1 15 30 22 3
3 31 11 19 1
.
-
-
hourly ozone concentration
to degree of diurnal variation in hourly ozone
-
.
0
0
0
0
0
0
.
.
-
-
.
0
0
0
0
2
3
.
.
•
-
.
2 0
0 1
4 1
10 0
7 1
10 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
.
.
-
(see B&hm et al. 1990).
concentrations
and daily mean (1 curves - lowest mean; 6 curves highest mean) as
illustrated in Figure 4c.l.
Note
that due to
numeric rounding, the sums
of percentages
(A curves -
described by
least variation; E curves -
B6hm et al
do not always equal 100.
(1990)

and as


-------
          COCHISE COUNTY

DOMINANT DIURNAL PATTERNS IN HOURLY
  OZONE CONCENTRATIONS (MAY - OCT)
IOU
90
c
o
:§
? 0
rrt

t T t i , , t LJ-44-I III-
1 I I 1 1 1 •{•Frrn ' ' M

S 0 6 12
j_
«
T3
CO
4~>
(/3

-------
FLAGSTAFF
        ARIZONA
          BIOGRAPHIC INFORMATION
        Latitude
        Longitude
        Elevation (m)
        Basin Height (m)  -
        Landuse
        City Population
        Basin Population  -
        Start Summary
        End Summary
        Source of Data
 35.21° N
111.61° W
2117
1954.2
Suburban - Commercial
34,743
645,599
May, 1980
September, 1985
AIRS (04-005-1004)

-------
                                                      Flagstaff

                                                BASIC STATISTICS
  A. BY YEAR (April through September).
 Year
%Data  % Valid
 Capt;    Days2    5
   Percenliles and Arithmetic Mean (ppb)
10     25   SO  Meaotstd    75     90
           % hours t x (ppb)       Days t x
95     60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
36
45
47
50
45
49
-
.
.
-
45
36
45
46
50
45
49
.
.
.
-
45
18
15
25
19
16
15
.
.
.
-
17
25
23
31
26
22
23
.
.
.
-
25
36
33
41
36
33
33
.
.
.
-
35
44
43
51
46
45
43
.
.
.
-
45
42.9*13
41.4*14
50.8*16
44.9*15
43.2*15
41.1*13
.
.
.
-
44.1*15
50
50
62
56
54
49
-
.
.
-
53
56
56
71
63
60
56
-
-
.
-
62
62
63
77
67
65
59
.
.
.
-
67
6
9
30
17
12
5
.
.
.
-
13
0
0
3
0
0
0
.
.
.
-
1
0
0
0
0
0
0
.
.
.
-
0
0
0
0
0
0
0
.
.
.
-
0
0
0
0
0
0
0
-
.
.
-
0
  B.  BY GROWING SEASON (May through September).
       % Data  % Valid
Year     Dipt    Days    5
                       Percentiles and Arithmetic Mean (ppb)
                     10    25    50   Mearustd  75     90
                                            S063  SOS*     % hours £ x (ppb)   Days s x
                                       95   (ppm hr)    60    80   100   120   120 ppb
1980
1981
1982
1983
1984
198S
1986
1987
1988
1989
All Years
72
73
81
83
74
80
-
.
.
-
77
72
73
79
83
73
80
-
.
.
-
77
18
15
22
19
16
17
-
.
.
-
17
25
22
28
23
21
24
-
.
.
-
24
36
31
38
33
-• 21
33
.
-
-
-
34
44
43
50
46
43
43
.
.
.
-
44
42.9*13
413*14
493*16
44.5*15
41.8*15
41.5*13
-
-
.
-
43.7*15
50
53
62
56
52
49
-
-
-
-
53
56
60
71
63
59
56
-
.
.
-
62
62
63
77
67
65
61
-
.
.
-
67
13
22
71
43
22
12
-
-
-
-
-
0
0
11
2
1
0
-
.
.
-
-
6
10
28
18
10
5
-
.
.
-
13
0
0
3
0
0
0
-
.
.
-
1
0
0
0
0
0
0
-
-
.
-
0
0
0
0
0
0
0
-
.
.
-
0
0
0
0
0
0
0
-
.
.
-
0
  C  BY MONTH5.

       % Data  % Valid
Month    Capt    Days   5
                       Percentiles and Arithmetic Mean (ppb)
                     10    25    50   Mearucstd  75     90
                                             S06 SOS*      % hours * x (ppb)  Days * x
                                       95    (ppm hr)    60    80   100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jim
Jul
Aug
Sep
Oct
Nov
Dec
-
.
94
96
91
88
93
96
.
.
-
-
.
93
97
91
86
92
96
.
.
-
-
.
18
23
26
20
17
12
.
.
•
-
.
27
30
33
24
23
17
.
.
-
-
.
40
41
43
33
33
28
.
.
•
-
.
49
51
53
43
42
37
..
.
-
-
.
463*14
493*14
51.8*15
41.1*12
40.6*13
35.9*13
.
.
-
-
.
55
59
62
SO
49
45
-
-
•
-
.
62
67
71
S6
56
51
-
.
•
-
.
67
70
77
59
60
55
-
.
•
-
-
7
13
IS
3
3
1
-
-
•
-
.
1
1
2
0
1
0
-
.
•
-
.
14
25
28
4
6
2
-
-
•
-
.
1
0
3
0
0
0
-
-
•
-
.
0
0
0
0
0
0
-
.
•
-
.
0
0
0
0
0
0
-
.
•
-
.
0
0
0
0
0
0
-
-
•
1.  % Data Capture - * valid hours / (total # hours in averaging period) • 100.  Av. period BY YEAR - 8760 hrs; BY G.S.
2.  % Valid Days -# days with 75 % of hours between 09:00 and 21:00 / (total # days) • 100 (Federal Register 1979).
3.  Cumulative Index: S06 -  Z [OjJAOOO, where [Oj] h hourly ozone concentrations * 60 ppb (Lee et al. 1988).
4.  Cumulative Index SOS -  Z [Oj]/1000, where fOj] is hourly ozone concentrations t 80 ppb (Lee et «L 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) - S06(08) • (* hours in that month) / (# valid hours).
                                                                                                   4416 hrs.

-------
                                           Flagstaff

             DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS

A.  BY YEAR (March through September).
 Year
 % Days          Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C1)2
Unclassified*    A3  A4   AS  A6   Bl  B2   B3   B4  B5  Cl   C2 C3  C4  C5   C6  D4  E5
1980
1981
1982
1983
1984
1985
1OQX
iotn


All Years
7
3
1
5
7
6




5
19
22
10
14
14
13




15
36
28
35
37
25
30




32
4
5
25
9
10
0




9
0
0
1
0
0
0




0
0
0
0
0
1
0




0
3
1
3
2
5
5




3
13
15
10
13
13
14




13
20
17
9
16
23
30




19
2
2
6
6
4
3




4
0
0
0
0
0
0




0
0
0
0
0
0
1




0
4
6
1
2
5
3




4
1
4
1
1
0
1




1
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
B. BY GROWING SEASON (May through September).

         % Days         Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure
 Year   Unclassified7    A3  A4  AS   A6  Bl  B2  B3  B4   B5  Cl  C2  C3   C4  C5   C6  D4   E5
1980
1981
1982
1983
1984
1985
10RA
1QR7
1988
1989
All Years
7
4
1
6
8
6


_
-
5
19
23
11
16
14
12


m
•
16
36
27
32
33
20
32


.
-
30
4
6
23
8
10
0


.
-
9
0
0
1
0
0
0


_
-
0
0
0
0
0
1
0


.
-
0
3
1
3
3
6
5


.
-
3
13
14
11
13
14
14


.
-
13
20
14
10
19
25
31


„
-
20
2
3
7
6
2
3


.
-
4
0
0
0
0
0
0


.
-
0
0
0
0
0
0
1


.
-
0
4
8
1
2
7
2


.
-
4
1
4
1
1
0
1


_
-
1
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
C BY MONTH (composited over years).
        %Days
 Month  Unclassified1
               Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C1)2
             A3  A4  AS   A6  Bl  B2  B3  B4   B5   Cl  C2  C3   C4  CS   C6  D4   E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
Z

.
0
3
3
5
6
7
5
.
.
-
% days with

•
25
11
6
6
16
17
33
.
.
-
unidentified
Pattern identifier relates

.
0 0
43 9
42 17
46 24
24 1
26 1
11 0
.
.
-

.
0
0
0
1
0
0
0
.
_
-
diurnal patterns in

.
0 25 25 0
0 2 10 17
0 2 8 15
0 1 4 12
0 4 20 30
0 1 17 28
1 9 18 15
...
....
.

.
25 0
5 0
7 0
5 0
4 0
2 0
1 0
.
.
-

.
0
1
0
0
0
0
1
.
.
-

.
0 0
2 0
1 2
1 1
1 0
5 2
10 1
m
^ f
•

.
0 0
0 0
0 0
0 0
0 0
0 0
0 0
.
_ w
-

.
0
0
0
0
0
0
0
.
.
-

.
0
0
0
0
0
0
0
.
.
-•
hourly ozone concentration (see Behm et al. 1990).
to degree of diurnal variation in hourly ozone concentrations
greatest variation) and daily mean (1

illustrated in
Figure 4C1
. Note that
curves
due to
- lowest mean; 6 curves
(A curves -
highest mean) as described by
numeric rounding, the sums of percentages
least variation;
Behm et al
E curves -
(1990) and as
do not always equal 100.

-------
c

.2
'•&
05
•o


T3
«-i
CO

TJ

C
CO
c
O

+1
Cu

<£?

c
£
°+3

2
4->
C

-------
GRAND CANYON
NATIONAL PARK
        ARIZONA
            BIOGRAPHIC INFORMATION
          Latitude
          Longitude
          Elevation (m)
          Basin Height (m) -
          Landuse
          City Population
          Basin Population -
          Start Summary
          End Summary
          Source of Data
 36.06° N
112.12° W
2073
1846.2
Rural - Desert
Not In A City
645,599
July, 1981
November,  1983
National Park Service

-------
                                  Grand Canyon National Park

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR (April through November).
        % Days          Percent occurrence of diurnal ozone patterns as defined by Behm et »l (1990) (Figure
Year   Unclassified'    A3 A4  AS   A6  Bl   B2  B3   B4   BS   Cl  C2  C3   C4  CS   C6
                                                                                          D4  ES
  1980
  1981
  1982
  1983
  1984
  1985
  1986
  1987
  1988
  1989

All Years
                    5240000025000000000

                    3500016500000000000
                    38
0   S3
B.  BY GROWING SEASON (May through October).

         % Days          Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C.1)2
 Year   Unclassified7    A3  A4  AS  A6  Bl  B2   B3  B4   BS   Cl  C2  C3  C4   CS   C6  D4   ES
 1980
 1981
 1982
 1983
 1984
 1985
 1986
 1987
 1988
 1989

All Years
                    5240000025000000000

                    31    0001   69   00000000000
                    35    8
1   54
C  BY MONTH (composited over years).

         % Days          Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure
 Month   Unclassified'     A3  A4  AS   A6   Bl  B2  B3  B4   B5   Cl   C2  C3   C4   CS  C6  D4  ES
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
.
.
0 100 0
0 33 0
0 74 0
0 47 S
2 27 25
3 33 0
0 30
0 60
.
% days with unidentified diurnal
Pattern identifier relates to degr
-
.
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
-
patterns in
-
-
0 0
0 67
0 26
0 45
2 43
0 67
0 97
0 94
-
hourly ozone
-
.
0
0
0
0
2
0
0
0
-
.
.
000
000
000
300
200
000
0 0.0
000
-
-
.
0
0
0
0
0
0
0
0
-
concentration (see Behm et al.
ee of diurnal variation in hoi
irly ozone concentrations <
-
-
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
0
0
0
0
0
0
-
-
.
0
0
0
0
0
0
0
0
-
1990).
[Ae
airves
; - least
[ varia
tion; 1
1 curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by Behm et al (1990) and as
      illustrated in Figure 4C1.  Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
o
               GRAND CANYON NATIONAL PARK


           DOMINANT DIURNAL PATTERNS IN HOURLY
              OZONE CONCENTRATIONS (MAY - OCT)
•a

•o

03
*o
c
03
4-1
1/5
O
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-------
PIMA COUNTY
        ARIZONA
           BIOGRAPHIC INFORMATION
          Latitude
          Longitude
          Elevation (m)
          Basin Height (m) -
          Landuse
          City Population
          Basin Population -
          Start Summary
          End Summary
          Source of Data
 32.29° N
111.00° W
695
632.6
Suburban - Residential
Not In A City
2,189,162
January, 1980
December, 1989
AIRS (04-019-0019)

-------
                                                    Pima County

                                                BASIC STATISTICS
  A.  BY YEAR.

         %Dal3  % Valid
Year      Capt'   Days2    5
     Percentiles and Arithmetic Mean (ppb)
  10     25    50  Mean*std    75      90
              % hours & x (ppb)       Days t x
   95     60     80     100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
74
89
89
80
88
92
87
79
92
75
85
73
90
88
80
87
92
86
81
92
74
84
1
3
3
1
2
1
0
0
0
0
0
3
5
5
3
4
3
1
0
0
1
2
8
9
10
8
8
6
4
4
1
7
7
21
25
23
24
22
20
17
21
18
23
21
25.0±20
27.9*21
28.5*21
26.9±21
263*20
23.5*21
21.8*19
22.9*19
21.7*20
25.8*21
25.2*21
38
45
44
42
42
40
36
38
38
42
40
52
58
60
57
56
57
50
49
52
56
55
62
65
68
66
63
65
59
55
58
62
62
6
10
10
8
7
9
5 (
3 <
4 1
7 1
7 1
1 0
0
0
0
0
0
) 0
) 0
) 0
) 0
1 0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
1
0
• 0
0
0
0
0
3
  B.  BY GROWING  SEASON (May through October).
       %Data  % Valid
Year    Ctipt    Days    5
  Percentiles and Arithmetic Mean (ppb)
10    25     50  Mean*std  75     90
     S063  SOS4     % hours * x (ppb)  Days 2 x
95   (ppm hr)     60   80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
67
96
86
85
87
91
80
95
88
81
86
66
96
86
86
86
91
78
98
88
80
85
1
3
2
0
1
2
1
0
0
1
1
4
5
3
2
4
3
2
1
1
4
2
14
13
11
9
4
10
7
7
6
12
10
30
30
30
27
28
27
26
25
26
30
28
32J*22
32.9*22
32.6*23
30.0*23
30.0*21
30.0*23
27.2*20
25.9*20
26.7*21
30.5*20
29.8*22
50
SO
50
47
46
48
43
42
43
47
46
63
62
64
63
60
63
55
52
55
58
60
71
70
72
72
68
70
62
58
62
64
68
28
41
39
36
28
38
17
12
17
21
-
6
7
10
8
5
7
1
1
1
1
-
13
14
14
13
10
14
7
4
6
9
10
2
2
3
2
1
2
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
1
0
0
0
0
0
0
3
  C  BY MONTH 5.

       %Data  % Valid
Month    Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50   Mean*std  75     90
      S06  S08*      % hours i x (ppb)   Days i x
 95    (ppm hr)    60   80   100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
97
92
81
87
86
92
83
84
92
85
90
88
96
93
80
86
86
92
84
84
92
85
92
89
0
0
2
0
1
1
3
3
0
0
0
0
1
2
4
3
4
4
7
6
1
1
1
0
4
5
8
10
13
14
16
15
7
3
4
3
10
12
25
31
32
32
32
33
22
14
10
9
16.0*14
183*17
263*20
31.1*22
1?JU7?
32,6*22
333*20
34.6*22
25.4*21
203*19
17.1*16
14.1*14
27
31
43
49
50
49
49
50
40
35
30
23
38
45
55
60
61
62
60
65
55
SO
40
37
43
SO
60
67
69
69
69
74
62
55
47
41
1
1
3
6
7
7
7
9
4
2
1
1
1
1
1
1
1
1
1
3
1
1
1
1
0
1
6
11
13
12
12
16
7
3
1
0
0
0
0
0
1
1
2
3
1
0
0
0
0
0
0
0
0
0
0
0
6
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
2
0
0
0
1.  % Data Capture - * valid hours / (total * hours in averaging period) • 100.  Av. period BY YEAR - 8760 hrs; BY G.S. - 4416 hrs.
2.  % Valid Days - # days with 75 % of hours between 09:00 and 21:00 / (total * days) •  100 (Federal Register 1979).
3.  Cumulative Index S06 - I [OjJ/1000, where [Oj] is hourly ozone concentration* t 60 ppb (Lee et aL 1988).
4.  Cumulative Index: SOS - I [OjJAOOO, where (Ojj is hourly ozone concentrations * 80 ppb (Lee et al. 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) - 506(08) • (# hours in that month) / (# valid hours).

-------
                                         Pima County
             DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.
         %Days
   car   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bfihm el al (1990) (Figure 4C1)2
A3  A4  A5  A6  Bl  B2   B3  B4   B5  Cl   C2  C3  C4   CS  C6  D4   ES
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
6
7
2
4
5
3
3
4
2
3
4
6
2
2
3
3
2
3
4
2
1
3
0
1
1
2
3
1
0
2
0
0
1
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
3
4
3
5
7
12
4
5
4
5
11
6
9
6
3
7
5
6
4
6
6
8
12
8
7
10
9
9
12
11
14
10
2
5
3
5
5
3
4
3
4
4
4
2
1
3
1
2
2
1
0
0
2
1
12
5
1
3
5
11
13
12
20
10
9
25
25
25
21
26
20
23
23
23
17
23
18
20
20
27
23
17
20
22
20
22
21
12
21
24
21
15
22
9
11
11
20
17
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
B. BY GROWING SEASON (May through October).
         % Days
 Year   Unclassified7
   Percent occurrence of diumal ozone patterns as defined by B&hm et al (1990) (Figure 4G1)2
A3  A4  A5   A6  Bl  B2   B3  B4   B5  Cl  C2  C3  C4   C5  C6  D4   E5
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
3
8
1
4
5
4
3
3
1
1
4
6
2
1
2
3
1
3
3
3
1
2
0
2
1
1
4
0
1
3
1
0
1
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
4
1
3
0
3
1
1
1
4
4
3
4
3
3
7
5
2
7
4
18
17
11
9
14
13
14
14
17
21
14
5
7
7
4
7
4
6
4
6
5
5
4
1
3
2
1
3
1
1
0
4
2
0
0
1
4
0
3
3
5
3
1
2
11
4
12
8
16
13
18
17
21
7
13
24
27
24
28
28
22
32
28
29
29
27
27
34
36
32
23
35
15
18
17
25
27
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
C BY MONTH (composited over years).

         % Days          Percent occurrence of diurnal ozone patterns as defined by Bdhm et al (1990) (Figure 4C.1)2
 Month  Unclassified'    A3  A4  A5  A6   Bl  B2  B3   B4   B5   Cl   C2  C3  C4   C5  C6  D4   E5
Jan
Feb
Mar
Apr
May
JUD
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.

5
5
4
2
2
2
4
4
5
4
5
6
1
1
8
5
2
0
2
2
3
5
2
1
% days with unidentified
Pattern identifier
greatest variation)
relates
0 0
0 0
1 0
2 0
0 0
0 0
0 0
4 1
2 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
diumal patterns in
13 14 1 0 0
10 11 1 0 0
2 5 12 5 1
0 3 14 6 3
0 2 24 5 1
1 1 18 5 1
0 5 22 11 3
0 2 17 9 5
47631
46200
7 10 2 0 0
19 6 0 0 0
hourly ozone concentration
to degree of diurnal variation in hourly ozone
and dairy mean (1
illustrated in Figure 4C1
. Note that
curves
due to
27
11
0
0
0
0
0
0
2
8
24
37
40
57
19
4
2
2
0
3
18
48
48
35
1 0
9 0
37 10
33 29
19 44
24 46
28 28
28 27
40 14
24 2
6 0
1 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
9
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
(see Behm et al. 1990).
concentrations
- lowest mean; 6 curves highest mean) as
numeric rounding, the sums of percentages
(A curves -
described by
least variation;
Bahm et al
do not always equal 100.
E curves -
(1990) and as



-------
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I
                        PIMA COUNTY



           DOMINANT DIURNAL PATTERNS IN HOURLY

              OZONE CONCENTRATIONS (MAY - OCT)
180
 90
C2
180
                 90
        QlllIII-H
         0     6   12   18   23
B3
                              0    6    12   18   23
180
 90
                180
                 90
         +B-H-
        0     6    12   18   23
           C4
                              0    6    12   18   23
                           Hour of Day

-------
PRESCOTT
        ARIZONA
         BIOGRAPHIC INFORMATION
        Latitude
        Longitude
        Elevation (m)
        Basin Height (m) -
        Landuse
        City Population
        Basin Population -
        Start Summary
        End Summary
        Source of Data
 34.55° N
112.48° W
1673
1384.6
Suburban - Commercial
20,053
645,599
April, 1981
September, 1984
AIRS (04-025-0002)

-------
                                               Prescott

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS

A.  BY YEAR (March through September).
         *Days
 Year   Unclassified'
   Percent occurrence of diurnal ozone patterns as defined by Bahm et a! (1990) (Figure 4C1)2
A3  A4   A5   A6   Bl   B2  B3   B4   BS  Cl   C2  C3   C4   CS  C6   D4   E5

1981
1982
1983
1984

locn
lOftfi
1OQQ
All Years

5
8
5
4




6

6
9
8
7




7

4
3
6
2




4

0
1
0
1




0

0
0
0
0




0

0
1
2
9




4

8
3
24
8




11

25
15
16
19




19

13
16
13
14




14

2
1
2
1




1

0
0
0
2




1

1
4
2
2




2

32
31
25
24




27

9
14
3
11




9

0
0
0
0




0

0
0
0
0




0

0
0
0
0




0

0
0
0
0




0
B.  BY GROWING SEASON (May through September).

         % Days          Percent occurrence of diumal ozone patterns as defined by B&hm el al (1990) (Figure 4C.1)*
 Year   Unclassified*    A3  A4   AS   A6   Bl   B2  B3   B4   B5  Cl   C2  C3   C4   CS  C6  D4   E5
loon
1981
1982
1983
1984
1ODC
IQftA
1QR7
1988
1989
All Years

5
9
6
4




-
6

6
10
7
4




-
7

4
3
4
1




-
3

0
1
0
0




-
0

0
0
0
0




-
0

0
1
3
10




-
4

8
3
30
9




-
12

25
13
12
18




-
17

13
18
12
13




-
14

2
1
0
1




-
1

0
0
0
2




•
1

1
3
2
2




-
2

32
32
29
27




-
30

9
14
2
12




-
9

0
0
0
0




-
0

0
0
0
0




-
0

0
0
0
0




-
0

0
0
0
0




-
0
C  BY MONTH (composited over years).
         % Days
 Month   Unclassified7
   Percent occurrence of diumal ozone patterns as defined by Bahm et al (1990) (Figure 4C.1)2
A3  A4  AS   A6  Bl  B2   B3   B4  BS   Cl   C2  C3  C4   CS   C6  D4  E5
Jan
Feb
Mar
Apr
May
Jun
Jut
Aug
Sep
Oct
Nov
Dec
1.
2.

.
0
2
4
6
9
5
5
.
.
-
% days with

.
SO
13
6
5
8
8
7
-
.
-
unidentified
Pattern identifier relates

..
0
13
7
3
1
4
0
.
,
-
diurnal
to degr

....
00000
2 0 0 2 31
0 0 3 4 23
1 0 11 11 18
0 0 3 20 18
0 0 1 3 19
0 0 2 19 10
.
.....
.

.
000
19 4 0
31 1 0
20 3 2
13 1 0
500
2 0 1
.
...
-

.
SO 0
0 9
0 10
2 12
1 26
3 44
4 52
.
.
-

.
0
7
15
9
9
13
3
.
m
•

.
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
.
.
-
patterns in hourly ozone concentration (see Bahm et al. 1990).
ee of diurnal variation in ho
urry ozone concentrations (A i
curves
) • leasl
[ variat
ion;
E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by B&hm et al (1990) and as
      illustrated in Figure 4C1.  Note that due to numeric rounding, the sums of percentages do not always equal  100.

-------
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                         PRESCOTT


          DOMINANT DIURNAL PATTERNS IN HOURLY
             OZONE CONCENTRATIONS (MAY - SEP)
      180
      90
     180
      90
         C4
B4
                 180
                          90
0    6    12    18   23
                         180
                          90
        0     6    12   18   23
                   180
            90
B2
                   0     6    12   18  23
B3
                           0    6    12    18   23
                     0    6    12    18   23
                         Hour of Day

-------
SAGUARO NATIONAL
    MONUMENT
        ARIZONA
              BIOGRAPHIC INFORMATION
             Latitude
             Longitude
             Elevation (m)
             Basin Height (m) -
             Landuse
             City Population
             Basin Population -
             Start Summary
             End Summary
             Source of Data
 32.18° N
110.74° W
933
734.2
Rural - Desert
Not In A City
2,189,162
July, 1982
July, 1989
National Park Service

-------
Year
                                         Saguaro National Monument

                                               BASIC STATISTICS
  A.  BY YEAR.
%Data  % Valid
 dipt*   Days*    5
     Percentiles and Arithmetic Mean (ppb)
  10     25   50  Mean*std    75      90
                                     95
                                         % noun 2 x (ppb)       Days * x
                                     60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
.
.
54
79
92
39
-
61
92
29
64
.
.
54
79
91
39
.
64
96
27
64
.
.
15
20
19
22
-
15
19
15
18
.
.
19
23
22
27
-
18
23
20
21
.
.
25
30
30
32
-
25
29
27
28
.
.
30
37
38
40
.
33
37
35
36
.
.
323*12
383*13
38.2*13
41.3*13
.
333*12
38.0*13
35.7*13 .
36.9±13
.
.
39
45
46
49
.
40
46
44
45
.
.
48
57
54
60
.
48
54
53
54
.
.
54
61
60
65
-
S3
60
59
60
.
.
3
6
5
10
-
2
5
5
5
.
-
0
1
0
1
.
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
  B.  BY GROWING SEASON (May through October).
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
% Data
Capt
-
74
70
91
33
.
90
93
12
% Valid
Days 5
-
74
70
90
33
.
93
97
8
-
15
21
20
28
.
15
21
30
Percentiles and Arithmetic Mean (ppb)
10 25 SO Mean*std 75 90
-
20
27
23
30
.
18
25
33
-
25
33
23
34
.
25
32
39
-
32
42
38
41
.
34
40
45
-
34.1*13
43.4*14
38.5*13
44.1*13
.
33.8*12
41.1*13
46.6*11
-
40
53
46
51
.
42
49
54
•
50
60
55
61
.
49
59
60
95
-
57
68
61
68
.
55
66
65
S063
(ppm
-
9
26
18
14
-
8
26
5
SOS4
hr)
-
1
4
2
3
.
1
3
1
%
60
-
4
12
7
13
.
3
9
14
hours
80
-
0
1
1
2
.
0
1
1
i * (ppb) Days t x
100 120 120 ppb
-
0
0
0
0
.
0
0
0
-
0
0
0
0
.
0
0
0
-
0
0
0
0
.
0
0
0
All Years  66
        67    19
22
30
38  383*14    47
57
63
  C  BY MONTH 5.

       % Data % Valid
Month    Capt   Days   5
                       Percentiles and Arithmetic Mean (ppb)
                     10    25    50   Meantstd   75     90
                                              S06  SOS*      % hours t x (ppb)   Days t x
                                         95   (ppm hr)    60   80   100    120   120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
92
88
67
78
86
82
80
86
94
81
95
92
94
88
68
79
84
82
80
87
96
83
97
94
12
20
27
32
27
20
15
20
18
15
17
12
18
24
30
34
30
24
20
24
21
19
20
17
24
29
36
40
36
30
28
30
28
25
25
22
30
35
42
46
43
38
38
38
35
32
31
29
293*09
35.0*09
42.4*10
47.0*11
44.4*12
393*13
38.9*15
393*13
36.2*13
32.1*11
31.4*09
27.9±09
36
40
49
S3
52
47
49
48
44
39
38
33
40
47
55
60
60
58
59
57
52
45
42
38
42
SO
60
66
65
64
65
63
58
50
48
41
1
1
3
6
6
S
5
4
3
1
1
1
0
0
1
1
1
1
1
1
1
0
0
0
0 (
1 <
S (
11
11
8
10
8
4
1 (
0 (
0 (
) 0
) 0
) 0
0
0
0
0
0
1 0
) 0
0 0
9 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
1.  % Data Capture - * valid hours / (total * hours in averaging period) • 100.  Av. period BY YEAR - 8760 hrs; BY CS, • 4416 hrs.
Z  % Valid Days - 0 days with 75 % of hours between 09:00 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index:  S06 - I [Ojl/lOOO, where [Oj] is hourly ozone concentrations 2 60 ppb (Lee et al. 1988).
4.  Cumulative Index:  SOS - £ [OjJ/lOOO, where [Oj] is hourly ozone concentrations t 80 ppb (Lee et al. 1988).
S.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) » S06(08) • (# hours in that month) / (# valid hours).

-------
                                 Saguaro National Monument

             DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.

         % Days
 Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C1)2
A3  A4  AS   A6  Bl   B2   B3  B4   B5   Cl   C2  C3  C4   CS  C6  D4   ES
lOftA

1982
1983
1VIM
1985
1987
1988
1989
All Years


7
3
4
6
5
3
4


34
50
46
46
39
45
44


6
20
25
5
20
19
17


0
4
10
0
3
0
2


0
0
1
0
0
0
0


1
0
0
1
0
0
0


41,
15
10
23
20
27
19


3
4
1
4
6
0
4


10
4
7
12
9
3
7


3
2
1
5
2
1
3


0
0
0
0
0
1
0


0
0
0
2
0
4
1


2
1
0
1
0
0
1


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
0
B. BY GROWING SEASON (May through October).

         % Days         Percent occurrence of diurnal ozone patterns as defined by Bfihm et al (1990) (Figure 4C1)^
 Year   Unclassified7    A3  A4   AS  A6  Bl  B2  B3   B4   B5  Cl  C2 C3  C4  C5   C6  D4  E5

lOftl
1982
1983
1984
1985
10RA
1987
1988
1989
All Years


10
3
4
2

8
7
0
6


32
29
44
42

35
28
0
34


10
33
14
27

7
23
83
19


0
9
1
17

0
5
0
4


0
0
0
0

0
0
0
0


0
0
0
0

2
0
0
0


32
8
7
2

24
12
0
14


5
7
13
0

6
12
0
8


15
8
12
10

16
14
17
13


4
4
8
3

7
5
0
5


0
0
0
0

0
0
0
0


0
0
1
0

2
0
0
0


3
1
1
0

2
1
0
1


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
0
0

0
0
0
0
C BY MONTH (composited over years).

         % Days         Percent occurrence of diurnal ozone patterns as defined by Behm et il (1990) (Figure 4C.1)*
 Month  Unclassified7    A3  A4  AS   A6  Bl  B2  B3  B4   B5   Cl  C2  C3  C4   CS  C6  D4   E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Scp
Oct
Nov
Dec
1.
Z

3
3
5
4
4
6
8
7
7
2
2
2
60
81
41
30
33
41
14
26
36
55
60
46
% days with unidentified
Pattern identifier
greatest variation)
relates
0 0
4 0
47 0
58 5
40 9
18 8
16 2
14 1
16 2
5 0
2 0
0 0
0
0
0
1
0
0
0
0
0
0
0
0
diumal patterns in
0 37 1 0
0 12 2 1
0306
0007
0 3 1 12
0 10 5 12
1 16 19 20
0 8 IS 24
0 26 5 8
1 30 5 1
0 36 2 0
1 46 1 0
0 1
0 0
2 0
0 0
3 0
5 0
10 0
10 0
4 0
0 0
0 0
0 2
2
1
0
0
0
1
0
0
0
2
0
5
hourly ozone concentration (see Behm et al
to degree of diurnal variation in hourly ozone concentrations
and dairy mean (1
illustrated in Figure 4C1
. Note that
curves
due to
0 0
0 0
0 0
0 0
0 0
1 0
3 0
2 0
2 0
1 0
1 0
0 0
. 1990).
(A curves -
- lowest mean; 6 curves highest mean) as described by
numeric rounding, the
turns of percentages
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
0
0

least variation;
Behm et al
do not always equal 100.
0
0
0
0
0
0
0
0
0
0
0
0

E curves -
(1990) and as



-------
I
+3
03
">
•S
03
*O
C
03
 8?
c
.2

S
 c
a
 c
I
c
03
             SAGUARO NATIONAL MONUMENT


         DOMINANT DIURNAL PATTERNS IN HOURLY

            OZONE CONCENTRATIONS (MAY - OCT)
180



90
       0
                B4
                          180
                                90
                                          B2
       0
       6    12   18   23
                                 0    6    12    18   23
     180
90
                A4
                          180
                                90
                                          A3
                                   fH-H-
                 12   18   23
                                     12   18  23
                        Hour of Day

-------
APTOS
       CALIFORNIA
       BIOGRAPHIC INFORMATION
      Latitude
      Longitude
      Elevation (m)
      Basin Height (m)  -
      Landuse
      City Population
      Basin Population  -
      Start Summary
      End Su'mmary
      Source  of Data
 36.99° N
121.93° W
78
0
Suburban - Residential
7,039
503,590
January, 1980
October, 1984
AIRS (06-087-0001)

-------
                                                         Aptos

                                                BASIC STATISTICS
  A  BY YEAR.

         %Data  % Valid
Year      Capt7   Days2   5
     Percenliles and Arithmetic Mean (ppb)
 10     25    SO  Mean*std   75     90
              % hours t x (ppb)      Days 2 x
   95     60     80     100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
100
99
99
100
87
.
.
.
.
-
97
100
99
100
100
87
.
.
.
.
-
97
10
0
10
10
10
.
.
.
.
-
10
10
10
10
10
10
.
.
.
.
-
10
20
10
10
10
10
.
.
.
.
-
10
30
20
20
20
20
.
.
.
.
-
20
28.2*15
24.0*15
26.4*15
233*13
24.5*13
.
.
.
.
-
253*14
40
30
40
30
30
.
.
.
.
-
30
50
40
50
40
40
-
.
-
-
-
40
SO
50
SO
40
SO
.
.
-
-
-
50
3
3
3
1
2
.
.
.
-
-
3
1
0
0
0
0
.
.
.
-
-
0
0
0
0
0
0
.
.
.
.
-
0
0
0
0
0
0
.
.
.
-
-
0
0
0
0
0
0
.
.
.
.
-
0
  B.  BY GROWING SEASON (May through October).
       % Daia  % Valid
Year     Capt    Days    5
  Percenliles and Arithmetic Mean (ppb)
10    25     SO   Mean*std  75      90
     S063  SOS4     % hours t x (ppb)   Days j> x
95    (ppm hr)     60    80   100    120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
100
99
99
100
100
-
.
.
.
-
All Years 100
c.

Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
100
100
100
100
99
-
-
.
.
-
100
10
0
10
10
10
-
.
.
.
-
0
10
0
10
10
10
.
-
.
.
-
10
20
10
10
10
10
.
.
-
.
-
10
30 28.4*16 40
20 23.4*16 30
20 25.7*15 40
20 24.1*14 30
20 24.0*14 30
.
.
.
.
.
20 25.1*15 30
50
40
50
40
40
.
-
.
.
-
40
50
50
50
50
50
-
-
.
.
-
50
14
10
10
8
9
.
-
.
-
-
-
4
2
1
2
2
-
-
.
.
-
-
4
4
3
3
3
.
-
-
.
-
3
1
0
0
0
0
.
.
.
.
-
0
0
0
0
0
0
.
.
.
.
-
0
0
0
0
0
0
-
-
-
.
•
0
0
0
0
0
0
.
-
.
.
-
0
BY MONTH 5.
% Data
Capt
99
99
100
99
99
99
100
100
100
100
89
99
% Valid
Days
99
100
100
99
100
100
99
100
100
100
89
98

5
10
10
10
10
10
10
0
0
0
10
0
0

10
10
10
10
20
10
10
10
10
10
10
10
0
Percentiles
25
20
20
20
20
20
20
10
10
10
10
10
10
and Arithmetic Mean
SO Mean*std 75
20 23.4*11 30
30 25.7*12 30
30 29.4*12 40
30 343*14 40
30 32.1*15 40
30 25.8*14 30
20 21.0*13 30
20 20.2*14 30
20 25.6*16 30
20 26.0*16 40
20 21.0*12 30
20 173*11 20
(Ppb)
90
40
40
SO
SO
50
40
40
40
SO
SO
40
30

95
40
SO
SO
60
SO
SO
40
40
SO
60
40
30
S06
S08*
(ppm hr)
1
1
1
3
3
2
1
1
3
3
1
1
0
0
0
1
1
1
1
1
1
1
1
0
91
60
0
1
1
6
4
2
1
2
5
6
1
0
'•) hours
80
0
0
0
1
0
0
0
0
1
1
0
0
t x
(PPb)
100 120
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Days t x
120 ppb
0
0
0
0
0
0
0
0
' 0
0
0
0
1.  % Data Capture - * valid hours / (total * hours in averaging period) • 100. Av. period BY YEAR - 8760 hrs; BY G.S.
2.  % Valid Days - # days with 75 % of hours between 09:00 and 21:00 / (total # days) • 100 (Federal Register 1979).
3.  Cumulative Index S06 « I [Ojl/1000, where [Oj] is hourly ozone concentrations t 60 ppb (Lee et ai 1988).
4.  Cumulative Index SOS » £ [Ojj/1000, where (Oj] is hourly ozone concentrations i 80 ppb (Lee et al. 1988).
5.  Statistics for monthly composites over the period of record.
6.  Month))' estimate of 506(08) - 506(08) • (# hours in that month) / (* valid hours).
                                                                               4416 hrs.

-------
                                               Aptos

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.

         % Days
  Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bshm et il (1990) (Figure 4C.1)2
A3  A4   AS  A6  Bl  B2   B3  B4   B5  Cl   C2  C3   C4   CS  C6  D4   E5
1980
1981
1982
1983
1984
1OQA
IOC*?
lOQfi
1OQO
All Years
B. BY

Year
1980
1981
1982
1983
1984
108";
1QR7
1988
1989
All Years
4
8
8
9
10




8
GROWING
% Days
Unclassified7
4
9
8
15
13

-
_
-
10
24
16
19
19
16




19
3
2
4
0
1




2
SEASON
0
0
0
0
0




0
(May
0
0
0
0
0




0
5 36
9 29
7 37
11 44
5 43




7 38
9
6
8
4
7




7
4
3
2
2
2




3
1
1
1
0
0




1
2
9
3
3
4




4
7 9
19 6
13 5
13 3
14 9




13 7
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
through October).
Percent occurrence
A3
14
11
14
15
10



„
-
13
A4
3
2
4
1
3



.
-
3
A5
1
0
1
0
0



.
-
0
A6
1
0
0
0
0



.
-
0
of diurnal
Bl B2
2 34
4 25
7 31
3 37
4 42



.
-
4 34
ozone
B3
11
6
10
6
6



.
-
8
patterns
as
B4 B5
3
2
2
3
2



.
-
3
1
1
1
1
0



.
-
1
defined
Cl
1
10
2
3
4



_
-
4
by B&hm
C2 C3
13 16
28 11
22 8
23 7
17 13



.
-
20 11
et al
C4
1
1
0
0
0



.
-
0
(1990)
C5
0
0
0
0
0



.
-
0
(Figure
C6
0
0
0
0
0



.
-
0
4C.1)2
D4 ES
0 0
0 0
0 0
0 0
0 0



.
-
0 0
C  BY MONTH (composited over years).

         % Days          Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C.1)2
 Month   Unclassified7    A3 A4  AS   A6   Bl   B2  B3   B4   B5   Cl   C2  C3  C4   CS   C6  D4   E5
Jan
Fcb
Mar
Apr
May
Jun
Jut
Aug
Sep
Oct
Nov
Dec
1.
2.
6
1
7
8
14
10
10
10
9
5
7
8
24
27
34
34
18
16
7
7
11
17
19
5
% days with unidentified
Pattern identifier
relates
0
1
3
5
8
1
0
0
5
1
0
0
diurnal
to degr
0 0 13 56 0
0 0 5 55 2
0 0 3 34 10
0 0 0 14 22
1 0 1 14 26
0 0 1 34 6
0 0 1 45 1
0 0 7 34 4
0 0 4 42 4
1 1 7 33 7
0 0 20 45 0
0 0 30 48 0
0
1
4
10
9
3
0
0
4
0
1
0
0 4
0 3
0 0
2 1
1 2
1 3
0 2
0 7
1 6
2 3
1 7
0 11
3
6
10
4
5
14
30
34
16
22
6
6
patterns in hourly ozone concentration (see Behm et
te of diurnal variation in ho
1 0
0 0
1 0
8 0
16 0
20 1
12 1
7 0
6 0
5 0
1 0
0 0
•1. 1990).
urty ozone concentrations (A curves
0
0
0
0
0
0
0
0
0
0
0
0

- least
0
0
0
0
0
0
0
0
0
0
0
0

varia
0
0
0
0
0
0
0
0
0
0
0
0

lion;
0
0
0
0
0
0
0
0
0
0
0
0

E curv
      greatest variation) and dairy mean (1 curves - lowest mean; 6 curves highest mean) as described by B&hm et al (1990) and as
      illustrated in Figure 4C.1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                           APTOS




           DOMINANT DIURNAL PATTERNS IN HOURLY

             OZONE CONCENTRATIONS (MAY - OCT)
 CO
 CO

•o


 CO
•i-t
 CO
 c
 o

 +1
180





 90
                           180
                           90
        0    6    12    18   23
                                           A3
                            •0    6   12   18  23
 2
o
c

d

CO
c
o
N
o
§

ffi

c
CO
CO

s
180
 90
                 C2
                          180
                                 90
       pimmr
B2
                                             -H-
                  12   18   23
                                      12   18   23
                         Hour of Day

-------
     ASH MOUNTAIN,
SEQUOIA NATIONAL PARK
       CALIFORNIA
                 BIOGRAPHIC INFORMATION
                Latitude
                Longitude
                Elevation (m)
                Basin Height (m)  -
                Landuse
                City Population
                Basin Population  -
                Start Summary
                End Summary
                Source of Data
 36.50° N
118.83° W
526
76.9
Rural
Not In A City
2,082,850
June, 1982
September, 1986
AIRS (06-107-1001)

-------
                           Ash  Mountain, Sequoia National Park (AIRS)

                                          BASIC STATISTICS
  A.  BY YEAR (May through October).
        % Data  % Valid
Year    Cap«;  Days2   5
    Pcroentiles and Arithmetic Mean (ppb)
 10     25    50  Meao*std   75     90
            % hours 2 x (ppb)      Days 2 x
   95     60    80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
.
-
30
30
12
37
16
.
-
-
25
.
.
30
30
11
37
16
.
-
-
25
.
.
30
10
35
20
30
.
-
-
20
.
-
40
20
40
30
40
.
-
-
30
.
.
50
30
50
50
60
.
.
-
50
.
.
70
50
70
70
80
.
-
-
60
.
.
69.6±26
50.9*25
67.4*21
64.1*25
75.7*23
.
-
-
64.1±26
.
.
90
70
80
80
90
.
-
-
80
.
.
100
80
90
90
110
.
- '
-
100
.
.
110
90
100
100
110
.
.
-
110
.
.
71
43
71
66
83
-
-
-
64
.
.
42
18
37
36
S3
.
-
-
36
.
.
18
4
10
10
21
.
.
-
12
.
-
4
0
1
1
3
.
-
-
2
.
-
31
3
3
14
19
.
-
-
70
  B.  BY GROWING SEASON (May through October).
      % Data % Valid
Year    Capt   Days   5
  Percenliles and Arithmetic Mean (ppb)
10    25    50  Mean*std  75     90
     S065  SOS*     % hours * x (ppb)   Days t x
95   (ppm hr)    60   80   100   120 120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
.
-
60
59
24
73
32
.
-
-
50
.
.
60
59
23
73
31
.
.
-
49
.
.
30
10
35
20
30
.
.
-
20
.
.
40
20
40
30
40
.
.
-
30
.
.
50
30
40
50
60
-
.
-
50
.
.
70
50
70
70
80
-
.
-
60
.
.
69.6*26
50.9*25
67.4*21
64.1*25
75.7*23
.
.
-
64.1*26
.
.
90
70
80
80
90
.
.
-
80
.
.
100
80
90
90
110
.
.
-
100
.
.
110
90
100
100
110
.
.
-
110
.
-
153
84
59
169
97
-
.
-
-
.
.
104
43
36
106
70
.
.
-
-
.
.
71
43
71
66
83
.
.
-
64
.
.
42
18
37
36
53
.
.
-
36
.
.
18
4
10
10
21
.
.
-
12
.
-
4
0
1
1
3
.
.
-
2
.
.
31
3
3
14
19
.
.
-
70
  C  BY MONTH 5.

      %Data % Valid
Month   Capt   Days   5
  Percenliles and Arithmetic Mean (ppb)
10   25    50  Mean*std  75     90
     S06 S08*     % noun 2 x (ppb)  Days * x
 95   (ppm hr)    60   80   100   120  120 ppb
Jan ....... . .......
Feb ....... ........
Mar - -- - - -- - • ... ...
Apr - -- - - -• - - .... ...
May 79 81 30 30 40 50 56.1*18 70 80 90 27 10 SO 15 1
Jun 51 52 30 40 SO 70 70.1*24 90 100 110 43 30 73 44 16
Jul 73 72 30 40 60 70 72.1*23 90 100 110 47 32 76 47 16
Aug 82 83 30 40 SO 70 70.7*23 90 100 110 45 31 75 44 15
Sep 79 77 10 20 30 50 54.6*27 70 90 100 28 15 50 23 7
Oct 42 40 0 10 20 30 362*22 SO 70 80 11 4 21 6 1
Ncv ... . • .. . * . .. -..
Dec ....... ........
1. % Data Capture - # valid hours / (total # hours in averaging period) * 100. Av. period BY YEAR - 8760 hrs; BY
2. % Valid Days - * days with 75 % of hours between 09:00 and 21:00 / (total * days) • 100 (Federal Register 1979).
3. Cumulative Index S06 - r [(DjJAOOO, where [Oj] is hourly ozone concentrations t 60 ppb (Lee et al. 1988).
4. Cumulative Index: SOS » z [OjJ/1000, where [Oj] is hourly ozone concentrations t 80 .ppb (Lee et «1. 1988).
5. Statistics for monthly composites over the period of record.
6. Monthly estimate of S06(08) - S06(08) • (* hours in that month) / (# valid hours).
0
2
2
2
1
0
OS. -
1
11
21
28
9
0
4416 hrs.

-------
                       Ash Mountain, Sequoia National Park (AIRS)

             DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS

A.  BY YEAR (May through October).

         % Days         Percent occurrence of diurnal ozone patterns as defined by Bohm et al (1990) (Figure 4C1)2
 Year   Unclassified'    A3  A4  AS   A6  Bl  B2   B3  B4  B5   Cl   C2 C3  C4  CS  C6  D4   E5
1OQA
1OQ1
1982
1983
1984
1985
1986
1OJM

lOfiO
All Years


1
6
0
0
0


2


4
3
0
1
0


2


4
3
2
3
8


4


26
25
65
34
15


31


49
11
25
36
66


36


0
1
0
2
0


1


1
3
0
2
2


2


3
9
0
4
0


4


5
5
2
2
2


3


9
33
5
13
6


15


0
1
0
1
0


0


0
2
0
1
0


1


0
2
0
2
0


1


0
1
0
1
0


0


0
0
0
0
2


0


0
0
0
0
0


0


0
0
0
0
0


0


0
0
0
0
0


0
B. BY GROWING SEASON (May through October).

        % Days         Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure •
 Year   Unclassified7    A3  A4  AS  A6   Bl   B2   B3  B4  BS  Cl   C2 C3   C4  CS   C6  D4   E5
1OCfi
1Ofi1
1982
1983
1984
1985
1986
1QR7
1988
1989
All Years


1
6
0
0
0

.
-
2


4
3
0
1
0

m
-
2


4
3
2
3
8

.
-
4


26
25
65
34
15

.
-
31


49
11
25
36
66

.
-
36


0
1
0
2
0

.
-
1


1
3
0
2
2

.
-
2


3
9
0
4
0

.
-
4


5
5
2
2
2

.
-
3


9
33
5
13
6

.
-
15


0
1
0
1
0

»
-
0


0
2
0
1
0

.
-
1


0
2
0
2
0

.
-
1


0
1
0
1
0

.
-
0


0
0
0
0
2

.
-
0


0
0
0
0
0

.
-
0


0
0
0
0
0

.
-
0


0
0
0
0
0

.
-
0
C BY MONTH (composited over years).
        *Days
 Month  Unclassified7
  Percent occurrence of diurnal ozone patterns as defined by Bfihm et al (1990) (Figure 4C.1)*
A3  A4  AS   A6  Bl  B2  B3  B4   B5   Cl   C2  C3  C4  C5   C6 D4   E5
Jan
Fcb
Mar
Apr
May
Jun
Jul
Aug
Scp
Oct
Nov
Dec
1.
Z
-
.
0
0
0
2
2
12
.
-
% days with
-
.
0
0
0
1
6
0
.
-
unidentified
Pattern identifier relates
-
.
8 46
2 23
1 35
3 34
7 28
0 5
.
-
-
.
8
49
48
47
21
0
.
-
diurnal patterns in
-
-
0
0
0
0
4
0
.
-
	
	
0 8 4 25 0
0 0 9 14 0
1 1 2 12 0
0 1 3 11 0
4 7 3 IS 1
5 24 5 38 5
...
	
-
.
0
0
0
0
1
10
.
-
-
.
0 0
2 0
0 0
0 0
2 1
5 5
.
-
-
.
0 0
0 0
1 0
0 0
0 0
0 0
.
-
•
.
0
0
0
0
0
0
.
-
• ;
.
0
0
0
0
0
0
.
-
hourly ozone concentration (see Behro et al. 1990).
to degree of diurnal variation in hourly ozone concentrations
greatest variation) and dairy mean (1

illustrated in
Figure 4C1
. Note that
curves
due to
- lowest mean; 6 curves highest mean) as
numeric rounding, the sums of percentages
(A curves -
described by
least variation;
Bshm et al
do not always equal 100.
E curves -
(1990) and as



-------
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     ASH MOUNTAIN, SEQUOIA NATIONAL PARK (AIRS)




         DOMINANT DIURNAL PATTERNS IN HOURLY

            OZONE CONCENTRATIONS (MAY - OCT)
                 180
                  90
180
 90
180
90
           B5
           12   18   23
A5
                   0    6   12   18   23
A6
                           12    18   23
                        Hour of Day

-------
     ASH MOUNTAIN,
SEQUOIA NATIONAL PARK
       CALIFORNIA
                 BIOGRAPHIC INFORMATION
                Latitude
                Longitude
                Elevation (m)
                Basin Height (m) -
                Landuse
                City Population
                Basin Population -
                Start Summary
                End Summary
                Source of Data
 36.49° N
118.83° W
610
76.9
Rural - Forest
Not In A City
2,082,850
July, 1982
July, 1989
National Park Service

-------
                         Ash  Mountain, Sequoia National Park (NFS)

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS

A.  BY YEAR.

         % Days          Percent occurrence of diurnal ozone patterns as defined by B6hm el al (1990) (Figure 4C.1)2
  Year   Unclassified'    A3  A4   AS  A6  Bl  B2   B3  B4   B5  Cl   C2  C3   C4  CS   C6  D4   E5

lOfil
1982
1983
1984
1985
1987
1988
1989
All Years


1
6
0
0
5
5
8
4


4
3
0
1
5
13
28
8


4
3
2
3
9
10
0
6


26
25
65
34
30
24
0
27


49
11
25
36
21
10
0
21


0
1
0
2
4
2
3
2


1
3
0
2
16
17
57
13


3
9
0
4
4
5
2
4


S
5
2
2
2
3
0
3


9
33
5
13
7
13
0
12


0
1
0
1
1
0
0
0


0
2
0
1
3
0
8
2


0
2
0
2
0
1
2
1


0
1
0
1
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
0
0
B. BY GROWING SEASON (May through October).
        % Days
Year    Unclassified7
                         Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C.1)2
                      A3  A4  AS  A6   Bl  B2  B3   B4   B5  Cl   C2  C3   C4  C5  C6  D4   E5
IQftA
10ft!
1982
1983
1984
1985
1987
1988
1989
All Years


1
6
0
0
5
2
-
3


4
3
0
1
3
3
-
3


4
3
2
3
11
8
-
6


26
25
65
34
40
43
-
37


49
11
25
36
29
20
-
29


0
1
0
2
0
0
-
1


1
3
0 •
2
1
2
-
2


3
9
0
4
2
4
-
4


5
5
2
2
1
4
-
3


9
33
5
13
8
16
-
15


0
1
0
1
0
0
-
0


0
2
0
1
3
0
-
1


0
2
0
2
0
0
-
1


0
1
0
1
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
C BY MONTH (composited over years).
         % Days
 Month   Unclassified'
                       Percent occurrence of diurnal ozone patterns as defined by Bfihm et al (1990) (Figure 4C.1)2
                     A3  A4   AS   A6  Bl  B2   B3  B4   B5  Cl   C2  C3   C4   CS  C6  D4  E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
Z
4 30
12 47
10 14
0 11
4 8
0 1
1 1
2 1
4 6
8 0
11 22
9 7
% days with unidentified
Pattern identifier relates
0
3
25
9
14
S
3
7
5
5
2
0
diurnal
to degr
0 0
0 0
0 0
25 0
38 3
30 37
38 46
41 35
38 20
30 12
0 0
0 0
patterns in
5
0
0
0
0
0
0
0
3
0
10
21
hourly
60 0
31 0
39 9
16 14
1 9
0 1
1 1
0 1
4 6
5 11
41 5
67 2
0 0
0 17
2 2
9 11
4 23
9 16
1 9
3 13
2 13
2 23
2 7
0 0
ozone concentration
ee of diurnal variation in hoi
irty ozone
0
0
0
0
0
0
0
0
1
2
2
2
5
3
5
0
0
0
0
0
1
9
7
0
(see Benin et al
concentrations i
0 0
0 0
S 0
5 0
0 0
1 0
0 0
0 0
2 1
2 2
0 0
0 0
. 1990).
(A curves -
0
0
0
0
0
0
0
0
0
0
0
0

leasi
0
0
0
0
0
0
0
0
0
0
0
0

t varia
0
0
0
0
0
0
0
0
0
0
0
0

lion; E
0
0
0
0
0
0
0
0
0
0
0
0

curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by B&hm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
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     ASH MOUNTAIN, SEQUOIA NATIONAL PARK (NFS)



         DOMINANT DIURNAL PATTERNS IN HOURLY

           OZONE CONCENTRATIONS (MAY - OCT)
                 180
                  90
                 180
                 90
180
 90
          B5
                   0    6    12   18   23
          A6
                           A5
                   0   6    12   18   23
                   0   6    12   18   23
                       Hour of Day

-------
AZUSA
       CALIFORNIA
       BIOGRAPHIC INFORMATION
      Latitude
      Longitude
      Elevation (m)
      Basin Height (m)  -
      Landuse
      City Population
      Basin Population  -
      Start Summary
      End Summary
      Source of Data
 34.14° N
117.92° W
185
123.1
Suburban - Industrial
29,380
11,201,922
January, 1980
September, 1989
AIRS (06-037-0002)

-------
                                                          Azusa
                                                 BASIC STATISTICS
  A.   BY YEAR.

         %Data % Valid
 Year      Capt'   Days*    5
                                    Percentiles and Arithmetic Mean (ppb)
                                10      25    SO  Mean*std    75     90
                                                        % hours i x (ppb)       Days t x
                                            95      60     80     100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
B. BY
%
99
97
94
96
95
95
95
87
94
71
92
99
98
98
98
100
100
99
91
99
75
96
GROWING
Data
Year Capt
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
99
97
95
98
95
96
95
80
95
79
93
% Valid
Days
99
99
100
98
100
100
100
83
99
83
96
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
SEASON
0
0
0
0
0
0
0
10
10
10
0
(May
20 34.1*50 40 90 ISO
10 31.1*49 40 100 140
20 31.0*43 40 80 130
10 31.1*48 30 90 140
20 32£*45 40 90 135
10 307*45 40 90 130
20 33.5*44 40 90 130
20 29.8*37 40 80 110
20 35.1*41 40 90 130
20 37.6*45 50 100 130
20 32^*45 40 90 130
through October).
Percentiles and Arithmetic Mean (ppb) S06*
5
0
0
0
0
0
0
0
0
0
0
0
10
0
0
0
0
0
0
0
0
0
0
0
25
0
0
10
0
0
0
0
10
0
0
0
18
19
17
17
19
18
20
16
19
23
18

SOS*
SO Mean±std 75 90 95 (ppm hr)
10 4Z6*64 60 140 180 149
20 45.5*61 70 140 180 159
20 42.4*53 60 120 160 132
20 45.1*61 70 130 180 154
20 43.6*56 70 130 160 145
20 41.1*55 60 120 160 136
20 447*54 70 130 160 144
20 40.6*47 60 110 140 103
20 429*51 70 120 150 136
20 45.0*53 70 120 150 120
20 43.3*56 70 130 160
134
142
113
138
127
118
124
87
118
103
-
13
14
12
12
14
13
14
11
14
16
13

9
60
26
30
27
28
29
28
30
27
29
31
28
10
11
8
9
10
9
10
8
9
12
10

i hours
80
20
23
20
23
23
21
23
20
23
23
22
7
8
6
7
7
7
7
S
6
8
7

140
153
116
131
139
129
139
101
138
121
1307

i. x (ppb) Days £ x
100
17
19
15
17
17
16
17
15
16
17
17
120 120 ppb
13 120
15 130
11 105
14 125
12 123
11 110
12 119
10 89
11 122
12 99
12 1142
  C.  BY MONTH5.

       %Data  % Valid
Month    Capt    Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25     SO   Mean*std  75     90
                                                                         95
S06  S086      % hours i x (ppb)   Days i x
(ppm hr)     60    80   100    120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
96
95
95
96
96
96
96
95
96
95
94
95
99
98
99
98
100
100
100
99
100
99
98
98
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
10
10
0
0
0
0
0
0
0
10
20
20
20
30
20
20
20
10
20
10
10
147*14
20.7*23
24.8*27
34.4*37
41.0*46
46.7*57
50.7*64
49.0*64
40.0*57
31.1*42
19.8*23
14.0*14
20
30
40
SO
60
70
90
80
60
40
30
20
30
SO
60
80
110
130
ISO
ISO
120
90
40
30
40
60
80
110
140
170
180
180
160
120
60
40
1
4
8
14
21
27
33
32
23
15
4
1
1
3
5
10
17
24
30
29
20
12
3
1
1
7
12
20
26
31
35
33
26
18
6
1
0
3
6
12
18
24
28
28
20
12
3
0
0
1
3
7
12
18
22
22
15
8
2
0
0
1
1
4
9
13
17
17
11
5
1
0
0
18
31
90
142
203
265
264
168
100
23
3
1.  % Data Capture - * valid hours / (total # hours in averaging period) • 100.  Av. period BY YEAR - 8760 hrs; BY G.S. - 4416 hrs.
2.  % Valid Days - * days with 75 % of hours between 09:00 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index:  S06 - £ [Oj], where [
-------
                                                Azusa
              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.
          % Days
  Year    Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C.1)2
A3  A4   AS   A6   Bl   B2  B3   B4   B5  Cl   C2  C3  C4   C5   C6  D4   E5
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
B. BY

Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
3
1
2
3
3
5
2
5
4
4
3
GROWING
% Days
Unclassified7
2
0
3
2
1
2
2
4
2
3
2
4 0
0 0
4 0
0 0
1 0
1 0
2 0
3 1
7 1
4 0
2 0
SEASON
0
0
0
0
0
0
0
0
0
0
0
(May
0
0
0
0
0
0
0
0
0
0
0
11 8
12 2
14 6
16 7
13 7
15 6
12 10
15 12
6 13
5 7
12 8
2
0
2
1
3
1
2
1
3
2
2
1
0
0
1
1
0
2
0
2
3
1
1
0
1
1
1
1
2
2
3
2
1
7 12
17 16
10 14
12 11
5 19
13 15
6 11
8 12
3 7
4 10
9 13
8
5
6
7
8
3
7
3
6
6
6
3
2
2
3
3
2
4
3
1
6
3
0
1
1
1
1
0
2
0
1
0
1
0
0
0
0
0
0
0
0
0
0
0
21 22
21 24
23 16
17 23
21 19
26 17
23 16
29 10
35 12
32 18
25 18
through October).
Percent occurrence
A3 A4
1 0
0 0
2 0
0 0
1 0
1 0
1 1
1 0
2 0
2 0
1 0
A5
0
0
1
0
0
0
0
0
0
0
0
A6
0
0
0
0
0
0
0
0
0
0
0
of diurnal
Bl B2
3 3
3 1
1 3
4 2
1 2
5 1
1 1
4 3
0 1
1 1
2 2
ozone
B3
1
0
2
1
1
1
1
1
2
1
1
patterns
as
B4 B5
0
0
0
1
1
0
1
0
1
2
1
0
0
2
1
1
0
1
3
1
1
1
defined by
B&hm
Cl C2 C3
3 12
1 12
2 9
2 8
0 12
3 11
2 3
4 6
1 5
0 4
2 8
5
6
9
7
8
5
10
5
5
6
7
etal
C4
3
2
4
5
4
3
6
4
1
4
4
(1990)
CS
0
2
1
2
2
0
1
0
1
0
1
(Figure
C6
0
0
1
0
0
0
0
0
0
0
0
4C.1)2
D4 E5
29 41
28 45
33 31
27 42
31 36
41 30
40 32
SO 21
57 23
47 30
38 33
C  BY MONTH (composited over years).
         % Days
 Month   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C1)2
A3  A4  AS  A6   Bl  B2   B3   B4   B5   Cl   C2  C3   C4   CS   C6  D4   E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
6 10
6 70
4 SO
4 2 1
S 30
2 00
1 00
1 00
0 00
4 20
4 60
4 30
% days with unidentified diurnal
Pattern identifier relates to degr
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
patterns in
39 22
23 13
11 8
2 11
2 S
2 1
0 1
1 0
3 2
7 3
18 16
42 17
2
3
4
4
3
0
0
0
1
1
0
2
0 0 21
3 3 13
2 3 14
252
1 2 1
111
000
000
0 1 2
1 1 6
1 1 22
0 0 27
IS 0
23 3
24 9
13 IS
S 14
5 7
2 2
2 2
12 7
26 7
21 3
8 0
0
1
3
7
8
3
3
3
2
3
0
0
0
0
2
2
1
1
0
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
jO
6
14
29
31
38
40
44
40
33
10
1
0
0
0
6
23
39
51
47
28
8
0
0
hourly ozone concentration (see B&hm et al. 1990).
ee of diurnal variation
in hoi
trry ozone concentrations (A c
airves
; - least variation;
E curv
      greatest variation) and daily mean (1 curves • lowest mean; 6 curves highest mean) as described by Behm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                         AZUSA


         DOMINANT DIURNAL PATTERNS IN HOURLY
           OZONE CONCENTRATIONS (MAY - OCT)
•O


•2
CS
T3
C
2
oo

O
C
o
 C
 o
*4->
 C3
 t-i
 4->
 C
 
-------
BANNING
       CALIFORNIA
         BIOGRAPHIC INFORMATION
       Latitude
       Longitude
       Elevation (m)
       Basin Height (m) -
       Land use
       City Population
       Basin Population -
       Start Summary
       End Summary
       Source of Data
 33.93° N
116.88° W
722
666.5
City Center - Residential
14,020
611,117
January, 1980
December, 1988
AIRS (06-065-0002)

-------
                                                       Banning

                                                BASIC STATISTICS
  A.  BY YEAR.
 Year
ft Data  % Valid
 Capt*    Days2   5
   Percentiles and Arithmetic Mean (ppb)
10     25   50  Mean**td    75     90
           % hours i x (ppb)       Days t x
95     60     80     100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
98
98
99
100
100
97
97
99
94
-
98
98
99
99
99
99
99
99
99
99
-
99
10
10
0
0
0
0
10
0
10
-
0
10
10
10
10
10
10
10
10
10
-
10
20
10
10
20
10
20
20
20
20
-
20
30
30
30
30
30
30
30
30
30
-
30
42.9*34
34.2*29
34.2*31
36.5*31
34.4*30
36.0±30
353*28
36.9*28
42.0*30
-
36.9*30
50
40
50
50
40
50
40
50
60
-
50
90
70
70
80
70
70
70
70
80
-
80
110
100
100
100
90
90
90
90
100
-
100
25
18
19
20
18
20
17
19
25
-
20
14
10
10
10
10
10
9
10
12
-
10
9
5
5
6
5
5
4
5
6
-
6
5
2
3
3
3
2
2
2
3
-
3
87
66
71
71
66
63
53
68
77
-
622
  B.  BY GROWING SEASON (May through October).
       % Data  % Valid
Year     Capt    Days    5
                       Percentiles and Arithmetic Mean (ppb)
                     10    25     50  Mean*std  75     90
                                             S063  SOS*     % hours t x (ppb)   Days z x
                                       95    (ppm hr)     60   80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
99
99
99
100
99
96
98
98
95
-
All Years 98
c

Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
100
100
99
100
99
99
100
99
100
-
100
10
10
10
10
0
10
10
10
10
-
10
20
10
10
10
10
20
20
20
20
-
10
30
20
30
30
10
30
30
30
30
-
20
50 56.4*39
30 43.5*35
40 48.7*34
40 51.6*36
40 44.9*36
40 49.4*33
40 473*32
40 49.9*32
50 54.9*35
-
40 49.6*35
80
60
70
70
60
60
60
70
70
-
70
110
90
100
100
90
90
90
90
100
-
100
140
110
120
130
120
110
110
110
120
-
120
171 124
114 77
128 85
144 %
119 83
122 78
116 75
126 81
154 102
-
-
42
30
33
37
30
34
31
34
42
-
35
25
17
18
20
18
17
16
18
23
-
19
16
9
10
12
9
9
9
9
12
-
11
9
4
5
6
5
5
4
5
7
-
6
82
59
65
71
61
56
53
63
75
-
585
BY MONTH 5.
% Data
Capt
99
98
97
98
99
98
98
99
98
98
98
97
% Valid
Days
99
98
98
98
100
100
99
100
100
100
99
97

5
0
0
10
10
10
10
10
10
10
10
0
0

10
10
10
10
20
20
20
20
10
10
10
10
0
Percentiles
25
10
10
20
20
30
30
30
30
20
20
10
10
and Arithmetic Mean (ppb)
50 Mean*std
20 18.4*11
20 20.9*13
30 27.4*17
30 38.4*23
40 50.1*30
50 60.8*36
SO 593*39
SO 53£*37
30 41.7*32
30 32.1*24
20 21.6*15
20 17.4*11
75
30
30
30
50
70
80
80
70
50
40
30
20
90
30
40
50
70
90
110
110
100
80
60
40
30
95
40
40
60
80
110
130
140
130
110
80
50
30
S06 SOS*
(ppm hr)
1 0
1 1
4 2
10 5
22 14
32 23
31 22
27 19
16 10
9 5
2 1
1 0
*
60
0
2
7
17
35
SO
45
40
25
14
3
0
9 hours
80
0
0
2
7
17
29
26
23
13
6
1
0
ix
(PPb)
100 120
0
0
1
3
9
17
16
12
7
3
0
0
0
0
0
1
4
9
10
7
4
1
0
0
Days £x
120 ppb
0
0
3
33
82
134
141
126
73
29
1
0
1.  % Data Capture - # valid hours / (total # hours in averaging period) • 100. Av. period BY YEAR - 8760 hrs; BY GS. - 4416 hrs.'
2.  % Valid Days - # days with 75 % of hours between 09:00 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index: S06 -  Z [Oj]/1000, where (Oj] is hourly ozone concentrations t 60 ppb (Lee et al. 1988).
4.  Cumulative Index SOS -  Z [OjJAOOO, where [Ojj is hourly ozone concentrations I 80 ppb (Lee et al. 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) - 506(08) * (* hours in that month) / (# valid hours).

-------
                                          Banning

           ' DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.
         % Days
 Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by B&hm el al (1990) (Figure 4C.1)2
A3  A4  AS  A6  Bl  B2  B3  B4   B5   Cl   C2 C3   C4  CS  C6  D4   E5
1980
1981
1982
1983
1984
1985
1986
1987
1988
1OQQ
17O7
All Years
B. BY

Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
4
2
3
4
4
4
3
5
4

4
GROWING
% Days
Unclassified7
5
2
3
3
5
4
2
2
4
-
3
IS
9
8
8
10
9
10
8
15

10
3
4
4
5
4
5
4
5
5

4
SEASON
9
6
5
4
5
7
7
S
8

6
(May
10
5
6
6
S
5
S
5
6

6
S 28
17 27
26 23
16 25
17 21
16 25
10 31
9 27
5 22

14 25
5
6
3
6
5
5
6
4
4

5
4 8
3 5
4 6
4 6
4 8
S 5
6 5
6 10
7 9

5 7
1
1
2
3
3
3
2
4
2

2
2
3
1
4
3
3
4
2
3

3
3
2
3
1
4
3
3
3
1

3
1 3
3 7
1 8
1 6
2 6
1 S
1 4
2 B
3 8

2 6
2
1
1
3
2
1
1
1
2

2
0 0
1 0
1 0
0 0
1 0
1 0
0 0
1 0
1 0

1 0
through October).
Percent occurrence
A3
9
4
9
6
3
11
7
6
6
-
7
A4
3
5
6
8
5
9
6
7
6
-
6
AS
15
11
10
8
9
14
12
9
14
-
11
A6
20
9
11
12
9
10
10
9
12
-
11
of diurnal
Bl B2
1 12
11 18
3 15
3 13
S 16
1 11
1 19
2 9
0 6
-
3 13
ozone
B3
5
6
5
8
6
6
7
6
5
•
6
patterns as
B4 B5
5 11
4 9
6 11
7 12
5 12
8 8
10 9
8 19
10 14
-
7 12
defined
Cl
1
1
1
1
2
0
0
0
1
-
1
by Behm
a
1
2
0
2
2
1
2
1
1
-
1
C3
2
1
4
0
4
5
4
2
0
-
3
et al (1990)
C4 CS
2 5
5 10
2 14
2 12
4 11
3 8
3 8
4 14
4 16
-
3 11
(Figure 4C.1)2
C6
S
2
2
5
4
3
2
3
3
-
3
D4 ES
1 0
2 0
2 0
1 0
2 0
0 0
1 0
1 0
2 0
-
1 0
C BY MONTH (composited over years).
        % Days
 Month   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure
A3  A4  AS   A6  Bl B2   B3  B4   B5   Cl  C2  C3  C4   CS  C6  D4  E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
3
6
3
4
3
2
1
3
5
6
4
4
% days with
6
17
17
23
8
6
3
4
10
9
11
7
unidentified
Pattern identifier relates
000
000
420
742
8 11 10
7 17 19
7 12 18
5 14 10
477
463
200
000
diurnal patterns in
36 45
26 43
11 39
0 21
1 7
0 3
0 S
1 8
5 20
10 39
30 37
43 41
1 0
2 1
S 2
11 10
10 11
3 7
4 6
6 7
7 7
6 6
3 1
0 0
0 7
0 3
3 2
7 0
15 0
12 0
13 0
14 1
9 2
7 1
2 6
0 6
5
4
6
3
1
0
1
1
2
4
5
2
hourly ozone concentration (see B&hm et al
to degree of diurnal variation
greatest variation) and daily mean (1 curves

illustrated in
Figure 4C1
. Note that due to
in hourly ozone concentrations
- lowest mean; 6 curves
1 0
3 0
4 2
4 2
2 4
2 3
3 3
2 4
S 3
2 2
2 0
0 0
.1990).
(A curves -
highest mean) as described by
numeric rounding, the sums of percentages
0 0
0 0
1 0
7 0
10 1
17 3
12 7
14 S
10 2
2 1
0 0
0 0

0
0
0
0
1
0
3
2
0
0
0
0

least variation;
Behm et al
do not always equal 100.
0
0
0
0
0
0
0
0
0
0
0
0

E curves -
(1990) and as



-------
                            BANNING



           DOMINANT DIURNAL PATTERNS IN HOURLY

              OZONE CONCENTRATIONS (MAY - OCT)
e
.2
"•C
03
      180
       90
                  A4
          Hill H-H+fr-HH+H-H-H-H
                   12    18   23
                                   180
                                   90
*-Tfc*
1 1 1 1 1 1 1 T T 1 1 1 1 y T 1 1 1 T


-H
                                          6    12   18   23
"2
cc
•o
c
cc
 a)
 c
 0
.O
CX
CX


c
£
'*^
CO


c
a
o
N
O
§
ffi
c
CO
      180
       90
      180
      90
180



 90
                 34
                  -H-
                 A6
                  B5
                  12   18   23
                  12   18   23
                                   180
                                   90
                                   180
                                   90
                                  180




                                   90
                                        A5
                                               12    18   23
                                        C5
                                               12    18   23
                                              B2
                   12    18   23
                                          6    12    18   23
                            Hour of Day

-------
BISHOP
       CALIFORNIA
        BIOGRAPHIC INFORMATION
       Latitude
       Longitude
       Elevation (m)
       Basin Height (m)
       Landuse
       City Population
       Basin Population
       Start Summary
       End Summary
       Source of Data
 37.35° N
118.40° W
1260
1260
City Center - Mobile
3,333
27,569
March, 1980
October, 1981
AIRS  (06-027-0001)

-------
                                                  Bishop

                                           BASIC STATISTICS
  A.  BY YEAR (March through November).
        %Data % Valid
Year   '  Capt;   Days2   5
    Percentiles and Arithmetic Mean (ppb)
 10     25    50  Meaiustd   75    90
            % hours fc x (ppb)      Days t x
   95     60    80    100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
48
54
.
.
.
-
-
-
-
-
51
48
54
.
.
.
.
-
-
-
-
51
0
0
-
.
.
-
-
.
-
-
0
10
10
-
.
.
.
.
.
.
-
10
20 30
20 30
-
.
.
-
.
.
.
-
20 30
29.7*17
31.2*16
-
.
.
.
.
.
.
-
30.5*16
40
40
-
.
.
-
-
.
.
-
40
50
SO
-
.
.
-
-
.
.
-
50
55
60
-
.
.
-
-
.
-
-
60
5
6
.
.
.
-
-
.
-
-
6
0
0
-
-
-
-
.
.
-
-
0
0 0
0 0
-
.
.
.
.
.
.
-
0 0
0
0
-
.
.
.
.
.
.
-
0
  B.  BY GROWING SEASON (May through October).
      % Data % Valid
Year    Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50  Mean±std  75     90
     S063  SOS4     % hours i x (ppb)   Days t x
95   (ppm hr)    60   80   100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
70
98
-
-
.
.
-
.
-
-
84
70
99
.
.
-
-
-
.
.
-
85
0
0
.
.
.
.
.
.
.
-
0
10
10
-
. •
.
.
.
.
.
-
10
20
20
-
.
.
.
.
.
.
-
20
30
30
.
-
.
.
.
.
.
-
30
31.2*17
31.7*16
.
.
.
.
.
.
.
-
31.5*16
40
40
-
-
.
.
-
.
-
-
40
50
SO
-
-
.
-
-
.
.
-
50
60 13 1
60 19 2
.
.
.
.
.
.
.
.
60
7
7
-
.
.
.
-
.
.
-
7
0
0
-
-
.
.
.
.
.
-
0
0
0
-
-
.
.
-
.
..
-
0
0
0
.
.
.
.
.
.
.
-
0
0
0
-
.
.
.
.
.
-
-
0
  C  BY MONTH5.

      % Data % Valid
Month   Capt   Days  5
  Percentiles and Arithmetic Mean (ppb)
10    25    50   Mean*std  75     90
      S06  SOS*      % hours * x (ppb)  Days i x
 95    (ppm hr)    60   80   100   120  120 ppb
Jan ... .
Feb 	
Mar 100 100 0 0 20 40
Apr 54 53 0 10 20 30
May 100 100 10 10 20 30
Jun 87 87 10 20 30 40
Jul 97 97 10 20 30 40
Aug 88 89 10 15 20 40
Sep 99 98 0 0 10 20
Oct 87 87 0 0 10 30
Nov 54 53 0 0 10 20
Dec ......
.
.
29.6±17
26.2*14
313*13
37.4*16
37.9*15
353*16
23.0*14
24.1*15
183*13
-
1. % Data Capture - # valid hours / (total # hours in averaging
.
.
40
30
40
SO
50
50
30
30
30
-
.
.
50
40
50
60
60
60
40
40
30
-
period) • 100.
2. % Valid Days - * days with 75 % of hours between 09:00 and 21:00 /
3. Cumulative Index: S06 - z (Oj)AOOO, where [Oj]
4. Cumulative Index: SOS - Z (Oj]/1000, where [Ojj
5. Statistics for monthly composites over the period of
6. Monthly estimate of 506(08) - S06(08) • (# hours
(total
.
.
SO
SO
so
60
60
60
SO
SO
40
-
.
.
1
1
1
6
5
5
I
1
0
-
.
.
1
0
0
1
1
1
0
0
0
-
Av. period BY YEAR
#days)»
is hourly ozone concentrations i 60
is hourly ozone concentrations t 80
record.

in that month) / (#

valid

hours).
100
Ppb
ppb


(Federal
.
.
1
2
1
13
10
10
1
2
0
•
-8760
.
.
0
0
0
0
0
1
0
0
0
-
brs;
.
-
0
0
0
0
0
0
0
0
0
-
BY
.
.
0
0
0
0
0
0
0
0
0
-
GS. -
.
.
0
0
0
0
0
0
0
0
0
-
4416 hrs.
Register 1979).
(Lee et at 1988).
(Lee et at 1988).













-------
                                               Bishop
               DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
 A. BY YEAR (March through November).

          % Days          Percent occurrence of diurnal ozone patterns as defined by B&hm ct al (1990) (Figure
  Year   Unclassified7    A3  A4  AS   A6   Bl   B2  B3   B4   B5  Cl   C2  C3   C4   C5  C6  D4  E5
  1980
  1981
3        13    81062023732   10    710000
7         952062220   18   642600000
  1983
  1986
  1988
  1989
All Years
         11
                       21   22   12
.B.  BY GROWING SEASON (May through October).

          % Days          Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C.1)2
  Year    Unclassified7    A3  A4  A5   A6   Bl   B2  B3   B4   BS   Cl   C2  C3   C4   CS   C6  D4   E5
  1980
  1981
  1982
  1983
  1984
  1985
  1986
  1987
  1988
  1989
2
6
13   10    2   0    3   19   21   9    4    2    9    7
 95206   21   21   17    7424
00000
00000
All Years
                      11
                                20   21   14
C  BY MONTH (composited over years).
          % Days
  Month   Unclassified7
            Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C.1)*
          A3  A4  AS  A6   Bl  B2   B3  B4   B5   Cl  C2  C3  C4   CS   C6  D4   ES
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.

.
3
14
3
4
5
6
3
6
7
-
% days with

.
14
8
23
11
16
8
2
10
8
-
unidentified
Pattern identifier relates

.
3
0
0
16
20
6
0
0
0
•
diurnal
to degr

.
0 0 10 14
0 0 8 25
0063
5 0 5 16
2 0 2 12
4 0 0 IS
0 0 5 37
0 0 12 31
0 0 IS 38
-

.
41
8
32
14
20
40
14
12
0
-

.
0
25
19
16
18
17
2
14
0
-

.
0 0
0 0
0 10
18 0
7 0
4 0
4 5
0 8
0 0
-

.
0 14 3
0 25 0
060
000
220
060
16 14 0
10 2 0
38 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
0
0
0
0
-
patterns in hourly ozone concentration (see Behm et al. 1990).
ee of diurnal variation
in ho
urry ozone concentrations (A curves
- least
varia
lion; E
curv
      greatest variation) and dairy mean (1 curves • lowest mean; 6 curves highest mean) as described by B&hm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                         BISHOP



          DOMINANT DIURNAL PATTERNS IN HOURLY

             OZONE CONCENTRATIONS (MAY - OCT)
IOU
90
c
.0
CO
•g °
'
•o
DO IOU
o
m
1 1 1 1 1 1 1 w I ' ^ H 1 1 H-4-i T 1 1
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) 6 12 18 23 0 6 12 18 23
CO
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A3 180
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1 1 1 1 1 1 iji iinn ill 1 1 1 1 1
|-T+TTTTT"H ' ' tri i 1 ] j |
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o
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o
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        0    6   12   18   23
                           0    6    12   18   23
      180
90
          B2
180
 90
B3
        0    6    12   18   23
                           0    6    12   18   23
                         Hour of Day

-------
BURBANK
       CALIFORNIA
         BIOGRAPHIC INFORMATION
       Latitude
       Longitude
       Elevation (m)
       Basin Height (m) -
       Landuse
       City Population
       Basin Population  -
       Start Summary
       End Summary
       Source of Data
 34.18° N
118.31° W
170
123.1
Suburban - Industrial
84,625
11,201,922
January, 1980
December, 1988
AIRS (06-037-1002)

-------
                                            Burbank
             DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.

         % Days
  Year   Unclassified*
   Percent occurrence of diurnal ozone patterns as defined by Bshm et al (1990) (Figure
A3  A4  A5  A6   Bl  B2   B3  B4   B5  Cl  C2  C3   C4  C5   C6  D4  E5
1980
1981
1982
1983
1984
1985
1986
1987
1988
1OAO
17O7
All Years
3
2 <
5
2
2
1
2
3
2
2 1
I 0
) 0
I 0
0
0
0
0
0
0
I 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
11
20
23
21
14
12
15
16
12
16
8
2
4
5
4
2
4
5
6
5
1
1
1
1
0
0
0
1
1
1
1
1
0
1
0
0
0
0
1
0
0
0
2
1
0
1
0
0
0
1
12
16
14
15
17
18
12
18
14
15
16
16
13
14
22
16
17
14
15
16
10
6
6
5
9
7
10
6
8
7
6
5
5
4
5
6
5
6
6
5
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
21
23
20
18
23
28
29
30
31
25
14
9
6
14
4
7
7
2
4
8
B. BY GROWING SEASON (May through October).
         % Days
 Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as denned by Bohm et al (1990) (Figure 4C1)2
A3  A4  A5   A6  Bl  B2   B3  B4   B5   Cl  C2  C3   C4  C5   C6  D4   E5
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
1
2
2
1
1
2
2
3
1
-
2
1
0
4
1
0
1
1
1
2
-
1
0
0
0
0
1
0
0
1
0
-
0
0
1
0
0
0
0
0
0
0
-
0
0
0
0
0
0
0
0
0
0
-
0
0
2
5
4
1
2
1
3
1
-
2
2
2
3
3
2
1
3
3
3
-
3
1
1
3
2
1
0
0
2
1
-
1
1
1
1
2
1
0
0
0
1
-
1
0
1
3
3
1
1
0
0
1
-
1
6
5
2
2
6
3
1
3
2
-
3
14
10
10
10
14
13
12
11
8
-
11
9
10
10
6
13
11
15
7
14
-
11
9
10
11
8
10
11
9
9
10
-
10
0
0
0
0
1
0
0
1
0
-
0
0
0
1
0
0
0
0
0
0
-
0
33
40
34
33
41
45
46
54
51
-
42
26
17
13
27
8
11
12
5
8
-
14
C BY MONTH (composited over years).
         %Days
 Month  Unclassified7
   Percent occurrence of diurnal ozone patterns as deGned by Be-hm et al (1990) (Figure 4C.1)2
 A3 A4  AS   A6  Bl  B2  B3   B4  B5   Cl   C2  C3  C4   C5  C6  D4   E5
Jan
Feb
Mar
Apr
May
Jun
Jut
Aug
Sep
Oct
Nov
Dec
1.
2.
4
3
4
3
3
2
0
1
3
2
3
2
% days with
0
0
1
3
4
1
0
0
1
1
0
0
unidentified
Pattern identifier relates
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
0
0
diurnal patterns in
44 6
27 9
18 6
6 7
1 6
1 1
0 1
2 0
3 3
6 4
27 5
56 6
0 0
0 0
1 0
1 1
4 1
2 2
0 0
0 0
0 0
0 0
0 0
0 0
0 41
0 28
0 16
2 4
2 1
2 0
1 1
0 1
0 3
0 12
0 41
0 34
9
30
38
23
9
3
5
4
13
33
21
3
0 0
0 0
8 0
18 7
17 10
11 13
5 15
10 12
11 4
10 4
0 0
0 0
000
004
0 0 10
0 0 26
0 0 34
0 0 46
0 0 51
0 0 50
0 1 45
0 0 25
007
000
0
0
1
3
11
15
20
21
15
4
0
0
hourly ozone concentration (see Bshm et al. 1990).
to degree of diurnal variation
greatest variation) and daily mean (1

illustrated in
Figure 4C1
. Note that
curves
due to
in hourly ozone concentrations
- lowest mean; 6 curves
(A curves -
highest mean) as described by
numeric rounding, the sums of percentages
least variation;
E curves -
Behm et at (1990) and as
do not always equal 100.


-------
                         BURBANK




         DOMINANT DIURNAL PATTERNS IN HOURLY

            OZONE CONCENTRATIONS (MAY - OCT)
03



I

•O


•o

03


C
03
•4-1
1/3
c
o

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      180
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180-
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                                            D4
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-------
      CAMP MATHER,
YOSEMITE NATIONAL PARK
      CALIFORNIA
                  BIOGRAPHIC INFORMATION
                Latitude
                Longitude
                Elevation (m)
                Basin Height (m)
                Landuse
                City Population
                Basin Population
                Start Summary
                End Summary
                Source of Data
 37.89° N
119.84° W
1432
27.1
Rural - Forest
Not In A City
2,082,850
February, 1988
June, 1989
National Park Service

-------
                                   Camp Mather, Yosemite National Park

                                               BASIC STATISTICS
  A.  BY YEAR.
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
% Data
dipt*
-
-
.
.
.
.
.
67
23
% Valid
Days2
-
-
.
.
.
.
.
69
24
5
-
-
-
.
.
.
.
13
9
10
-
-
-
.
.
.
.
17
12
Pereentiles
25
•
-
-
-
.
.
.
25
19
and
50
-
-
.
.
.
.
.
35
25
Arithmetic
Mean±std
-
-
.
.
.
.
.
37.7*17
23.8*08
Mean (ppb)
75 90
-
-
.
.
.
.
.
49 63
29 34
95
-
-
.
.
.
.
.
71
36
60
-
-
.
-
.
.
.
13
0
% hours i
80
•
-
.
.
.
.
.
1
0
t x (ppb)
100
•
.
.
.
.
.
.
0
0
120
-
-
.
.
.
.
.
0
0
Days ix
120 ppb
-
-
.
.
.
.
.
0
0
All Years   45
47
11
16
23
30  34.2*17
                                  44
59
                                               68
10
  B.  BY GROWING SEASON (May through October).
       % Data  % Valid
Year    Capt    Days   5
             Pereentiles and Arithmetic Mean (ppb)
           10    25     50   Mean±std   75     90
                                                  S063  SOS4     % hours * x (ppb)   Days 2 x
                                            95    (ppm hr)     60   80   100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
C BY
%
Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
-
.
66
0
33
-
.
70
0
35
-
.
22
24
22
-
.
26
24
26
-
.
36
30
36
.
.
46 47.6*16 59
40 37.8*09 44
46 47.5*16 59
-
.
70
49
70
m
.
76
53
76
-
.
SO
0
-
-
.
7
0
-
-
.
24
0
24
-
.
3
0
3
;
.
0
0
0
-
.
0
0
0

.
0
0
0
MONTH 5.
Data
Capt
95
64
91
95
48
48
10
20
95
74
90
91
% Valid
Days
100
67
92
100
50
SO
10
23
100
77
90
97

5
18
10
7
13
17
19
32
36
34
32
8
14

10
19
12
10
18
21
22
36
42
38
34
10
16
Pereentiles
25
23
18
17
26
28
29
41
48
46
40
15
20
and Arithmetic Mean
50 Meaiustd 75
26 25.6*05 28
25 24.8*09 31
26 25.2*12 33
35 35.7*14 45
38 38.6*14 47
41 4ZO*16 54
49 SZ3*15 64
61 60.8*15 73
56 56.7*14 67
49 49.6*13 58
23 23.8*12 30
24 23.7*06 28
(PPb)
90
31
36
41
54
58
65
75
80
77
69
41
31

95
34
38
45
60
67
71
81
87
81
72
46
33
506
S08*
(ppm hr)
0
1
0
3
5
9
17
30
22
11
1
0
0
0
0
0
0
1
4
8
4
1
0
0
*
60
0
0
0
6
9
18
31
55
41
21
1
0
» hours
80
0
0
0
0
0
1
6
11
7
1
0
0
tx
(PPb)
100 120
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Days i x
120 ppb
0
0
0
0
0
0
0
0
0
0
0

1.  % Data Capture - # valid hours / (total # hours in averaging period) * 100. Av. period BY YEAR • 8760 hrs; BY G.S.
Z  % Valid Days - # days with 75 % of hours between 09:00 and 21:00 / (total # days) • 100 (Federal Register 1979).
3.  Cumulative Index:  S06 - r [Oj)/1000, where [Oj] k hourly ozone coocentrationi z 60 ppb (Lee et al. 1988).
4.  Cumulative Index:  SOS - Z [OjJAOOO, where joj] is hourly ozone concentrations i 80 ppb (Lee et »L 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) - 506(08) • (# hours in that month) / (* valid hours).
                                                                                         4416 hn

-------
                             Camp Mather, Yosemite National Park

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.

         %Days
  Year   Unclassified'
             Percent occurrence of diurnal ozone patterns as dcCned by Bahm et al (1990) (Figure 4C.1)2
          A3  A4  AS   A6   Bl  B2  B3   B4   B5  Cl   C2  C3   C4   C5   C6  D4   ES
1OQA
1OC1
1OO?
1OQ1

1Ofi<
1OOX
1OC7
1988
1989








7
10








201413032494904300000
200006 70 00022000000
All Years
                      20   10   10
                                 35
B.  BY GROWING SEASON (May through October).

         % Days          Percent occurrence of diurnal ozone patterns as deGned by B&hm et al (1990) (Figure 4C.1)2
 Year   Unclassified*    A3  A4  AS   A6   Bl  B2  B3  B4   B5  Cl   C2  C3  C4   CS   C6  D4   ES
 1980
 1981
 1982
 1983
 1984
 1985
 1986
 1987
 1988
 1989

All Years
11
11
                      1224260021151600300000
                      1224260021151600300000
C  BY MONTH (composited over years).
         % Days
 Month   Unclassified'
             Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C.1)*
           A3  A4   AS   A6   Bl  B2  B3   B4   B5   Cl   C2  C3   C4   CS  C6  D4   E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
0 19 0
10 29 0
13 29 0
4 33 17
15 26 9
17 20 10
0 0 40
0 0 40
0 0 31
18 11 39
0 23 0
0 80
% days with unidentified diurnal
Pattern identifier relates to degr
0 0
0 0
0 0
0 0
13 0
15 0
40 0
60 0
46 0
11 0
0 0
0 0
patterns in
4
11
5
0
0
0
0
0
0
0
18
0
hourly
77 0
61 0
41 5
21 12
4 26
5 25
0 0
0 0
0 0
0 0
41 5
92 0
0
0
2
4
4
0
0
0
8
11
0
0
0
0
0
8
4
25
20
0
15
28
0
0
ozone concentration (see
0
0
2
0
0
0
0
0
0
0
0
0
0
0
IS
0
0
0
0
0
0
0
9
0
B&hm et
ee of diurnal variation in hourly ozone concentration
0
0
0
4
13
0
0
0
0
0
5
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
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
al. 1990).
is (A c
urves
i - teas!
I vari
ation; 1
E curv
      greatest variation) and dairy mean (1 curves - lowest mean; 6 curves highest mean) as described by B&hm et al (1990) and as
      illustrated in Figure 4C1.  Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
          CAMP MATHER, YOSEMITE NATIONAL PARK



           DOMINANT DIURNAL PATTERNS IN HOURLY

             OZONE CONCENTRATIONS (MAY - OCT)
c



.2


•o

•o
u
co
•o
c
CO
 CO
 c
 O
 O,
 C
 o
 °4->
 CO
 V*
 4—>
 c
 o
 o
 c


 (3
 c

 8
'O
I
 c
 CO
 co
180




90
                 A3
                          180
                                 90
                          B5
  0    6   12   18   23
                  0    6    12   18  23
180
90
A4
                                180
                90
                                    A5
           12    18   23
                           12   18  23
                         Hour of Day

-------
                                                   Carmel Valley

                                                BASIC STATISTICS
  A. BY YEAR.

         %Data  % Valid
 Yew     Capt;   Days2    5
    Percentiles and Arithmetic Mean (ppb)
 10     25    50  Meaiustd   75     90
             % hours i x (ppb)       Days fc x
   95     60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
.
.
20
98
99
98
100
98
80
-
85
.
.
20
98
99
98
100
98
80
-
85
.
.
10
10
10
10
10
10
10
•
10
.
.
10
10
10
20
10
10
10
-
10
.
.
10
10
20
20
20
20
20
-
20
.
.
20
20
30
30
30
30
30
-
30
.
-
20.4±11
24.1*14
26.5*13
31.0±13
26.8*13
283*14
25.8*13
-
26.9*13
.
.
30
30
40
40
40
40
30
•
40
.
.
30
40
40
50
40
50
40
-
40
.
.
40
50
50
50
50
50
50
-
50
.
.
1
2
2
4
3
4
2
-
3
.
.
0
0
0
1
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
  B.  BY GROWING SEASON (May through October).
       %Data  % Valid
Year    Capt    Days    5
  Percentiles and Arithmetic Mean (ppb)
10    25    SO  Mean*std  75     90
     S063  SOS4     % hours * x (ppb)   Days t. x
95   (ppm hr)     60   80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
.
.
10
100
100
100
99
99
97
-
All Years 86
c

Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
.
.
10
100
99
100
100
99
97
•
87
.
-
0
10
10
10
10
10
10
-
10
.
-
10
10
10
20
10
10
10
-
10
.
.
10
20
10
20
20
20
20
-
20
.
.
20 21.5*15 30
30 27.2*15 30
30 29.2*14 40
30 31.8*14 40
30 25.9*13 30
30 30.0*14 40
30 27.1*13 30
.
30 28.4*14 40
-
-
40
50
50
50
40
50
40
-
50
.
-
SO
50
50
60
50
SO
SO
-
50
-
-
2
13
13
18
8
13
8
-
-
.
-
1
3
3
4
1
2
1
-
-
-
-
3
4
4
6
3
5
3
-
4
.
-
0
1
1
1
0
1
0
•
1
.
.
0
0
0
0
0
0
0
-
0
-
-
0
0
0
0
0
0
0
•
0
-
-
0
0
0
0
0
0
0
-
0
BY MONTH 5.
% Data
Capt
96
90
100
89
99
99
98
100
99
94
94
97
% Valid
Days
97
89
100
89
99
100
98
100
99
94
95
96

5
10
10
10
10
10
10
10
10
10
10
10
10

10
10
10
10
20
10
10
10
10
10
10
10
10
Percentiles
25
10
20
20
20
20
20
20
20
20
20
10
10
and Arithmetic Mean
50 Meaiustd 75
20 21.1*10 30
30 26.0*11 30
30 28.7*13 40
30 33.7*14 40
30 32.1*14 40
30 28.7*13 40
20 23.8*12 30
20 24.6*12 30
30 31.5*16 40
30 29.8*16 40
20 23.9*12 30
20 20.6*10 30
(PPb)
90
30
40
40
50
50
40
40
40
50
50
40
30

95
40
40
50
50
50
50
50
50
60
60
40
40
S06
S08*
(ppm hr)
1
1
1
3
2
2
1
1
4
4
1
1
0
0
1







0
0
9
60
0
1
2
5
4
3
2
2
6
7
1
0
3 hours
80
0
0
0
1
0
0
0
0
1
1
0
0
fcX
(PPb)
100 120
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Days li
120 ppb
0
0
0
0
0
0
0
0
0
0
0
0
1.  % Data Capture - * valid hours / (total # hours in avenging period) • 100. Av. period BY YEAR - 8760 hrs; BY GS. - 4416 hrs.
Z  % Valid Days - * days with 75 % of hours between 09:00 and 21:00 / (total # days) • 100 (Federal Register 1979).
3.  Cumulative Index:  S06 - I (OjJ/1000, where [Oj] it hourly ozone concentration* * 60 ppb (Lee « al. 1988).
4.  Cumulative Index:  SOS - £ [OjJAOOO, where jOjj it hourly ozone concentrations t 80 ppb (Lee et al. 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of S06(08) - S06{08) • (« houn in that month) / (* valid hours).

-------
CARMEL VALLEY
       CALIFORNIA
            BIOGRAPHIC INFORMATION
           Latitude
           Longitude
           Elevation (m)
           Basin Height (m)
           Landuse
           City Population
           Basin Population
           Start Summary
           End Summary
           Source  of Data
 36.50° N
121.73° W
131
131
Suburban - Residential
4,013
503,590
October, 1982
December, 1988
AIRS (06-053-0002)

-------

C3
•o
C
«3
4—1
CO


-------
                                           Carmel Valley

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A. BY YEAR.

          % Days
  Year    Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bdhm et al (1990) (Figure 4C.1)2
A3  A4   A5   A6  Bl  B2   B3  B4   B5  O   C2  C3  C4   CS  C6  D4   ES
1980
IQftl
1982
1983
1984
1985
1986
1987
1988
lOftO
All Years


10
11
12
7
10
8
9

10


5
13
13
23
18
16
17

16


0
1
3
3
2
6
1

3


0
0
0
1
0
1
0

0


0
0
0
0
0
0
0

0


22
8
5
1
3
4
6

5


52
40
45
36
43
44
47

43


0
9
13
19
10
11
12

12


3
3
2
7
6
5
1

4


2
2
1
2
2
1
2

1


5
5
0
0
1
1
1

1


11
9
9
3
10
7
7

7


2
10
9
5
5
6
7

7


0
0
1
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
0
0

0
B.  BY GROWING SEASON (May through October).
         % Days
 Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by B6hm et al (1990) (Figure 4C.1)*
A3  A4   AS  A6   Bl  B2   B3   B4   B5  Cl   C2  C3   C4   CS  C6   D4  E5
1980
10R1
1982
1983
1984
1985
1986
1987
1988
1989
All Years


5
9
10
9
14
7
10
-
10


0
16
IS
17
10
21
16
-
15


0 <
1
5
S
3
9
2
-
4 1


) 0
0
0
0
0
0
0
•
0


33
3
2
1
1
1
4
•
3


39
39
37
35
50
40
44
-
41


0
10
15
22
11
13
15
-
14


6
5
3
8
6
4
1
-
5


6
4
1
3
1
1
3
-
2


0
1
0
0
1
0
1
-
0


11
7
5
1
10
5
4
-
5


6
14
14
7
6
6
10
-
9


0
0
1
0
0
1
1
-
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
C  BY MONTH (composited over years).
         % Days
 Month   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bohm et al (1990) (Figure 4C1)2
A3  A4  AS   A6   Bl  B2  B3   B4  B5   Cl   C2  C3  C4  CS  C6  D4   ES
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
12 10 0
7 24 0
13 18 1
8 19 S
7 21 3
10 24 4
9 5 1
9 11 1
11 IS 9
12 16 6
10 20 1
7 13 0
% days with unidentified diurnal
Piittern identifier relates to degr
0 0
0 0
0 0
1 0
1 0
1 0
0 0
0 0
1 0
1 0
0 0
0 0
patterns in
15 58
2 51
1 36
0 12
2 19
0 45
2 65
1 51
2 35
7 30
6 49
15 57
hourly ozone
3
8
13
35
31
10
6
10
14
12
2
2
0
1
10
9
11
3
2
1
7
4
1
0
0 3
0 1
2 0
3 0
2 1
1 0
1 1
0 0
S 0
4 2
0 2
0 7
11
12
10
1
2
4
4
9
3
10
17
6
concentration (see Behm et
ee of diurnal variation in hourly
1 0
0 0
7 0
IS 0
6 1
8 0
12 1
14 1
9 0
7 1
1 0
1 0
al. 1990).
ozone concentrations (A curves
0
0
0
0
0
0
0
0
0
0
0
0

- least
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
0
0

variation; E curv
      greatest variation) and dairy mean (1 curves - lowest mean; 6 curves highest mean) as described by Bohm et al (1990) and as
      illustrated in Figure 4C1.  Note that due to numeric rounding, the sums of percentages do not always equal  100.

-------
                                             Fresno County

                                          BASIC STATISTICS
  A. BY YEAR.

       % Data  % Valid
Year    Capt;   Days2   5
    Percentiles and Arithmetic Mean (ppb)
 10    25   50  Meaittstd   75    90
            % noun t x (ppb)      Days & x
  95     60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Year*
77
80
81
68
.
-
-
.
-
-
77
76
79
81
68
.
-
-
.
-
-
76
20
10
10
20
.
-
-
.
-
-
20
20
20
20
30
.
-
-
.
-
-
20
30
20
20
30
.
-
-
-
-
-
30
40
30
30
40
.
-
-
-
-
-
40
41.9*17
37.5*19
35.8*17
38.9*11
-
-
-
-
-
-
38.4*17
50
50
50
40
-
-
-
-
-
-
50
70
70
60
50
.
-
-
-
-
•
60
70
70
70
60
-
-
-
-
-
-
70
19
19
14
8
-
-
•
.
-
-
15
4
4
3
1
-
-
-
-
-
-
3
0
0
0
0
-
-
-
-
-
-
0
0
0
0
0
.
-
-
-
-
-
0
0
2
0
0
-
-
-
-
-
-
2
 B.  BY GROWING SEASON (May through October).
      % Data % Valid
Year    Capt   Days   5
  Perceotiles and Arithmetic Mean (ppb)
10   25    50  Meansstd 75     90
     S063  SOS4     % hours 2 x (ppb)   Days * x
95   (ppm hr)    60   80  100  120  120 ppb
1980 95 95 20
1981 78 77 20
1982 88 88 10
1983 77 78 20
1984
1985
1986
1987
1988
1989
All Years 85 84 20
C BY MONTH 5.
% Data % Valid
Month Capt Days 5
Jan 83 82 10
Feb 88 88 10
Mar 85 84 20
Apr 85 85 20
May 70 70 10
Jun 96 96 20
Jul 89 89 30
Aug 89 89 20
Sep 96 96 20
Oct 91 90 20
Nov 70 68 10
Dec 72 71 10
30
30
20
20
.
-
.
.
.
-
20

30 40
40 50
30 40
30 40
.
.
.
.
.
-
30 40

46.1*17
49.8*18
42.8*19
41.0*13
-
-
-
-
-
-
44.9*17

60 70
60 70
50 70
SO 60
-
-
-
-
-
-
60 70

Percentiles and Arithmetic Mean (ppb)
10 25 SO Meanistd 75 90
20
20
20
30
20
30
30
20
30
20
10
20
20 30
20 30
30 30
30 40
30 40
40 50
40 50
40 50
30 40
30 30
10 20
20 30
26.0*09
30.8*10
323*11
37.0*10
39.4*16
473*16
5Z7*17
48.4*19
44.4*16
36.6*14
22.4*12
27.0*09
30 40
40 40
40 40
40 50
50 60
60 70
60 80
60 70
50 70
40 60
30 40
30 40
60
80
70
60
-
-
-
-
-
•
80

95
40
SO
50
50
70
70
80
80
70
60
40
40
78
92
66
30
-
-
-
.
-
-
-

22
25
16
4
-
-
-
-
-
-
-

506 SOS*
(ppm hr)
0
1
2
2
8
15
22
19
12
6
1
0
0
0
1
1
1
3
7
6
3
1
0
0
27 6
39 8
25 5
14 1
-
-
-
-
-
-
26 5

% hours
60 80
0 0
1 0
4 0
3 0
16 2
30 5
41 10
36 9
23 3
11 1
1 0
0 0
1
1
1
0
-
-
.
-
-
•
0

0
0
0
0
-
-
-
-
-
-
0

fc x (ppb)
100 120
0
0
0
0
0
0
1
1
0
0
0
0
1. % Data Capture - # valid hours / (total * hour* in averaging period) • 100. Av. period BY YEAR - 8760 hrs; BY
2. % Valid Days - * days with 75 % of hours between 09:00 and 21:00 / (total # days) • 100 (Federal Register 1979).
3. Cumulative Index: S06 - I (OjJ/1000, where [Oj] is hourly ozone concentrations i 60 ppb (Lee « aL 1988).
4. Cumulative Index: SOS - £ [OjJAOOO, where [Oj] is hourly ozone concentrations t 80 ppb (Lee et al. 1988).
5. Statistics for monthly composites over the period of record.
6. Monthly estimate of 506(08) - 506(08) • (# hours in that month) / (# valid hours).
0
0
0
0
0
0
0
0
0
0
0
0
GS. -
0
2
0
0
-
-
.
.
.
-
2

Days £ x
120 ppb
0
0
0
0
0
0
0
2
0
0
0
0
4416 hr*.

-------
FRESNO COUNTY
      CALIFORNIA
             BIOGRAPHIC INFORMATION
           Latitude
           Longitude
           Elevation (m)
           Basin Height (m) -
           Landuse
           City'Population
           Basin Population -
           Start Summary
           End Summary
           Source of Data
 37.11° N
119.31° W
1723
30.8
Remote
Not In A City
2,082,850
January,  1980
December,  1983
AIRS (06-019-1003)

-------
          FRESNO COUNTY

DOMINANT DIURNAL PATTERNS IN HOURLY
  OZONE CONCENTRATIONS (MAY - OCT)
IOU
90
_o
'+3
1 °
TD 1
•o
DO
,04-1
i^H^
44W^
3 6 12
TO
•o
C
to
g 180
o
Concentration (ppb)
_o 8
A5


) 6 12
•
O
I 18°
I »
C
C3
S 0
IOU
90
0
U£.
-Ww^-ttWH*^
18 23 0 6 12 18 23


180
0
A3
i i i i i i i i i I I 1 H J4-1 i i i i t i
[M"H 1 1 rrrt ' ' J J ' i rr^-l J | {-}
18 23 0 6 12 18 23
A4
i t i i I i 1 I r i
1 1 1 H-1T+1 ii"' H4-j_j_|_j
          0   6   12   18  23
              Hour of Day

-------
                                          Fresno County

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.

         % Days
  Year   Unclassified7
   Percent occurrence of diurnal ozone pattens as defined by Behm et al (1990) (Figure
A3  A4  A5  A6   Bl   B2  B3   B4  BS   Cl  C2  C3  C4  C5  C6  D4
                                                                       E5
1980
1981
1982
1983
1QA4
IQftX
1QB7
lOftfi
1Q&Q
All Years
B. BY
Year
1980
1981
1982
1983
1QR4
10ft1;
1 0R/*
1987
1988
1989

All Years
3
1
2
4

-



2
GROWING
%Days
Unclassified7
2
1
3
6


-
_
-

3
34 20
26 10
31 14
55 18






35 15
SEASON
11
18
11
2






11
(May
0
1
0
0






0
2 10
4 33
7 28
0 6






3 20
7
2
2
7






5
9
3
2
8






5
7
4
5
5






5
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
0 0
0 0






0 0
through October).
Percent occurrence
A3 A4 AS A6
19 26
19 19
22 22
31 25




.
-

23 23
15
36
20
3




.
-

18
0
i
0
0




.
-

0
of diurnal
Bl B2
0 6
0 11
4 15
0 7




.
-

1 10
ozone
B3
10
3
3
10




.
-

7
patterns as defined
B4 B5 Cl
12
4
4
13




.
-

8
11
7
10
9




.
-

9
0
0
0
0




.
-

0
by Behm
C2 C3
0
0
0
0




.
-

0
1
0
0
0




.
-

0
etal
C4
0
0
0
0




.
-
*
0
(1990)
cs
0
0
0
0




.
-

0
(Figure
C6
0
0
0
0




.
-

0
4C.1)2
D4 ES
0 0
0 0
0 0
0 0




.
-

0 0
C BY MONTH (composited over years).
         % Days
 Month   Unclassified7
  Percent occurrence of diurnal ozone patterns as defined by Behm et *1 (1990) (Figure 4C.1)2
A3  A4  AS  A6   Bl  B2  B3   B4   B5   Cl   C2  C3  C4   CS  C6  D4   E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
0 47 0
1 57 7
1 52 4
1 61 16
2 33 19
2 25 25
5 12 30
2 6 28
1 24 25
5 38 12
5 18 0
2 56 0
% days with unidentified diurnal
Pattern identifier relates to degr
0 0
0 0
3 0
1 0
8 0
25 0
37 0
22 2
14 0
4 0
0 0
0 0
patterns in
9 44
5 31
1 36
0 10
8 7
0 6
0 0
0 12
0 9
0 25
34 45
5 40
0
0
3
7
10
1
4
6
8
10
0
0
0
0
1
5
11
10
6
7
9
8
3
0
0
0
0
0
4
8
11
17
12
3
0
0
hourly ozone concentration
ee of diurnal variation
in ho
urty
ozone
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
(see B&hm et al
concentrations
0 0
0 0
0 0
0 0
0 0
0 0
1 0
0 0
0 0
0 0
0 0
0 0
.1990).
(A curves
0
0
0
0
0
0
0
0
0
0
0
0

-least
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
0
0

variation; E curv
      greatest variation) and dairy mean (1 curves • lowest mean; 6 curves highest mean) as described by Behm et al (1990) and as
      illustrated in Figure 4C1.  Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                                                    Lake Gregory

                                                 BASIC STATISTICS
  A. BY YEAR.

         %Data  % Valid
 Year     Capt'    Days2   5
                                   Percentiles and Arithmetic Mean (ppb)
                                10     25    50   Mean±ud   75     90
                                                       % hours i x (ppb)       Days i x
                                            95     60     80     100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
B. BY
%
97
98
95
95
96
99
96
79
95
-
94
97
99
99
99
98
99
100
81
100
-
97
GROWING
Data
Year Capt
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
97
98
95
94
96
99
96
63
96
•
93
% Valid
Days
97
98
98
98
99
100
100
66
100
-
95
10
10
10
10
10
10
10
10
10
-
10
10
10
10
10
10
10
10
10
10
-
10
SEASON
20
20
30
30
30
30
30
30
30
-
30
(May
40 51.8*45 60 110 150
40 52.0*47 70 120 ISO
40 53.0*41 70 110 140
40 543*43 70 110 ISO
40 56.7*44 70 120 ISO
40 S2&42 70 110 ISO
40 53.9*41 70 110 140
40 45.1*35 SO 90 120
40 55.7*42 70 120 ISO
-
40 53.0*43 70 110 140
through October).
Percentiles and Arithmetic Mean (ppb) S06*
5
10
20
10
10
20
10
20
10
20
-
10
10
20
20
20
20
30
20
30
20
30
-
20
25
30
40
40
40
30
30
40
30
40
-
40
30
33
32
33
36
34
36
24
36
-
33

SOS4
SO Mean*std 75 90 95 (ppm hr)
SO 69.7*52 90 140 180 233
60 75.5*52 100 ISO 180 261
60 71.1*47 100 140 170 230
60 74.6*50 100 150 180 252
60 75.8*50 100 150 180 259
60 69.8*49 90 140 170 241
60 72.9*45 100 140 170 248
50 63.4*42 90 130 ISO 132
60 76.7*47 100 150 170 263
.
60 72-5*49 100 140 170
193
216
190
203
209
191
192
100
209
-
-
20
22
22
20
23
21
21
IS
23
-
21

%
60
50
55
52
57
58
53
58
49
60
-
55
13
15
14
14
IS
13
14
10
16
-
14

hours
80
35
39
38
39
39
36
37
31
40
-
37
9
11
9
10
10
9
9
6
11
-
9

135
145
130
122
156
131
133
84
141
- •
1177

* x (ppb) Days t x
100
24
28
26
27
27
24
26
21
28
-
26
120 120 ppb
17 135
20 145
17 130
19 122
19 156
16 131
17 133
13 84
20 141
-
18 1177
  C  BY MONTH 5.

       %Data  % Valid
Month    Capt    Days   S
  Percentiles and Arithmetic Mean
10    25     SO   Mean*std  75
                                                                 90
     506  SOS*      % hours t x (ppb)   Days t x
95   (ppm hr)     60    80   100    120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
95
96
98
97
96
96
97
96
95
96
97
94
98
98
100
99
98
100
100
99
99
97
99
98
0
0
10
20
20
30
20
20
10
10
0
0
10
10
10
20
30
40
30
30
20
10
10
0
10
20
30
40
40
SO
SO
SO
30
20
20
10
30
30
40
SO
60
80
80
70
SO
40
30
30
26.5*15
30.4*18
38.2*21
543*30
68.7*41
883*50
92.1*54
85.1*52
61.6*42
40.0*28
30.2*19
23.5*14
40
40
SO
60
90
120
130
120
80
50
40
30
40
SO
60
90
130
160
170
160
120
80
SO
40
SO
60
80
110
ISO
190
19S
180
150
90
60
40
1
3
8
22
39
56
61
55
33
14
5
1
1
2
4
14
29
46
52
47
24
8
2
1
2
6
14
36
S3
70
71
67
46
22
8
1
0
2
6
18
33
SO
S3
SO
29
10
3
0
0
0
2
10
21
37
40
36
18
5
1
0
0
0
1
5
14
26
30
25
11
2
0
0
0
2
22
83
158
226
234
253
144
50
4
1
1.  % Data Capture - # valid hours / (total * hours in averaging period) * 100. Av. period BY YEAR - 8760 hrs; BY OS. - 4416 hrs.
2.  % Valid Days - # days with 75 % of hours between 09:00 and 21:00 / (total * days) * 100 (Federal Register 1979).
3.  Cumulative Index: S06 • I [Oj]AOOO, where [Oj] is hourly ozone concentration* i 60 ppb (Lee et al. 1988).
4.  Cumulative Index: SOS - Z [Oj]/1000, where J0j] b hourly ozone concentrations i 80 ppb (Lee et at 1988).
5.  Statistics (or monthly composites over the period of record.
6.  Monthly estimate of 506(08) -  S06{08) • (# hours in that month) / (# valid hours).

-------
LAKE GREGORY
       CALIFORNIA
            BIOGRAPHIC INFORMATION
           Latitude
           Longitude
           Elevation (m)
           Basin Height (m) -
           Landuse
           City Population
           Basin Population  -
           Start Summary
           End Summary
           Source of Data
 34.24° N
117.28° W
1397
123.1
Rural - Urban
Not In A City
11,201,922
January, 1980
December,  1988
AIRS (06-071-0005)

-------
c
o
• »I4
4->
03
03

*O
C
C3
V
c
o

+1


3s
ex
2
o
c
o
J>>
"C

o
ffi

c
C3
0)
                       LAKE GREGORY



           DOMINANT DIURNAL PATTERNS IN HOURLY

             OZONE CONCENTRATIONS (MAY - OCT)
      180
       90
      180
       90
                 B5
         0    6    12    18   23
                 C5
        0    6    12    18   23
                    180
                    90
180
                                  90
180
                                  90
A5
                                   0    6    12    18   23
A6
                                   0    6    12    18   23
                      0    6   12   18  23
                          Hour of Day

-------
                                            Lake Gregory

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.
% Days Percent occurrence of diurnal ozone
Year Unclassified7 A3 A4 AS A6 Bl B2 B3
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
A7O7
All Years
4
3
2
1
3
2
3
2
3

3
13
10
20
20
17
17
18
23
18

17
6
4
6
7
7
6
4
4
S

6
5
5
6
5
5
5
6
3
5

5
8
10
15
10
12
9
13
11
15

11
6
5
2
0
0
0
0
1
1

2
13
16
9
9
6
10
6
13
9

10
5
3
5
8
4
4
5
6
4

5
patterns as defined by Bshm et al (1990) (Figure 4C1
B4B5C1 C2C3C4CSC6D4
3
2
4
4
4
1
5
3
6

3
6
6
3
5
7
8
7
S
4

6
1
3
3
2
1
1
2
1
3

2
2
4
4
4
5
6
6
6
2

4
429
3
4
2
4
6
5
10
7
4
2 8
7
8
747
425

4 :

I 7
15
17
11
19
16
IS
14
7
15

15
1
1
0
0
0
0
1
0
1

1
I2
ES
1
0
0
0
1
0
0
0
0

0
B.  BY GROWING SEASON (May through October).
         % Days
 Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Behm el al (1990) (Figure 4C.1)2
A3  A4   A5   A6  Bl  B2   B3   B4   B5   Cl  C2  C3   C4  CS   C6  D4   ES
1980
1981
1982
1983
1984
1985
1986
1987
1988
1QSQ
A 7O7
All Years
2
1
1
1
2
1
1
1
2

1
2
7
6
3
4
5
5
4
5

5
2
4
4
3
4
4
3
5
5

4
8
7
9
6
7
9
9
5
8

8
14
17
27
20
22
16
21
24
26

21
1
0
1
0
0
0
0
2
0

0
5
2
5
3
1
5
1
5
0

3
2
1
3
4
1
2
2
4
1

2
4
2
4
5
4
2
3
5
5

4
7
7
3
8
6
8
8
6
5

6
1
0
0
0
0
0
0
0
0

0
0
1
1
1
0
3
1
0
0

1
5
2
3
2
2
3
6
5
4

4
2
2
3
1
2
1
1
4
2

2
13
16
11
8
11
12
13
15
8

12
28
32
22
37
33
29
26
17
28

28
2
2
0
1
1
1
2
0
2

1
2
0
1
0
1
0
0
0
0

0
C  BY MONTH (composited over years).
         %Days
 Month   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C.1)2
A3  A4  A5  A6   Bl  B2   B3  B4   B5   Cl   C2  C3   C4   CS  C6  D4  E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
Z
4 37 2
3 35 5
3 34 6
2 IS 24
2 68
1 2 5
0 02
0 0 1
1 53
4 15 5
6 30 5
5 30 0
% days with unidentified diurnal
Pattern identifier relates to degr
0 0
1 0
2 2
9 10
14 22
7 31
5 28
6 25
8 13
6 4
3 0
0 0
patterns in
7 22
4 15
0 9
0 1
0 1
0 0
0 0
0 1
0 5
1 9
3 24
7 33
7
8
14
3
2
0
0
1
2
7
8
4
0 2
3 5
7 7
6 11
6 9
2 2
0 4
1 2
5 12
7 9
3 5
1 1
hourly ozone concentration
ee of diurnal variation
in hot
irty ozone
6
4
0
0
0
0
0
0
0
1
3
11
15
12
3
0
0
0
0
0
0
4
7
12
(see Bahm et
2 0
8 0
8 3
2 2
1 1
0 0
0 0
0 2
4 2
IS 6
10 0
1 0
al. 1990).
concentrations (A curves
0
0
2
12
11
11
7
18
20
5
0
0

- least
0
0
0
5
19
40
52
43
IS
1
0
0

0
0
0
0
0
0
0
0
3
4
0
0

0
0
0
0
0
0
1
1
0
0
0
0

variation; E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by Bshm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                                        Lassen Volcanic National Park
                                              BASIC STATISTICS
  A.  BY YEAR.

         96 Data % Valid
Year     Capt'   Days2   5
     Penxntiles and Arithmetic Mean (ppb)
 10     25    50  Mean±std    75     90
             % houn t x (ppb)       Days 2 x
   95    60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Yean
-
.
18
74
32
41
-
.
18
77
33
43
-
-
13
17
22
18
-
-
19
21
26
22
-
.
26
28
30
28
-
.
31
34
35
34
-
.
295*07
35.0*12
35.9*10
34.4*11
-
.
35
41
40
39
-
.
37
51
47
48
-
.
39
59
57
56
-
-
0
5
4
4
;
-
0
0
0
0
-
-
0
0
0
0
-
-
0
0
0
0
-
-
0
0
0
0
  B.  BY GROWING SEASON (May through October).
       % Data  % Valid  "
Year    Capt    Days   5
  Penxntiles and Arithmetic Mean (ppb)
10    25    50  Mean±std  75     90
     S06? SOS'     % hours z x (ppb)   Days i x
95   (ppmhr)    60    80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
-
.
4
85
18
36
-
.
5
89
17
37
-
.
10
18
18
17
-
.
11
22
21
21
-
.
18
29
29
28
-
.
25
36
40
36
•
.
24.4±09
37.9±13
41.0*15
37.8*14
-
.
31
46
52
46
-
-
36
57
63
58
-
.
38
63
67
64
-
-
0
20
8
-
-
-
0
1
1
-
-
-
0
8
14
9
•
.
0
0
1
0
-
-
0
0
0
0
-
-
0
0
0
0
-
-
0
0
0
0
  C  BY MONTH5.

       % Data % Valid
Month    Capt   Days   5
  Penxntiles and Arithmetic Mean (ppb)
10    25    50   Meaiustd  75     90
      S06 SOS*      % houn t x (ppb)   Days I x
 95    (ppm hi)    60   80   100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Scp
Oct
Nov
Dec
95
70
71
27
23
58
69
95
95
58
87
83
100
74
74
30
23
60
92
100
100
58
87
84
24
27
19
19
20
15
18
24
27
13
11
18
27
30
22
25
23
18
21
27
31
17
15
23
30
33
28
29
29
24
28
33
36
24
23
28
33
37
33
36
37
32
37
41
41
31
28
31
33.4*05
36.4*05
311*07
370*11
39.2*14
33.0*13
384*15
41.9*12
43.8*12
3iS±l3
26.8*08
30.4*06
37
40
37
43
49
40
48
50
51
39
33
34
40
42
40
52
58
52
61
59
63
50
36
36
42
44
41
59
64
57
67
63
67
58
37
37
0
0
0
2
5
2
6
5
7
3
0
0
0
0
0
0
1
0
1
0
0
0
•o
0
0
0
0
4
8
3
12
10
13
5
0
0
0
0
0
0
1
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
0
0
0
0
0
0
0
0
0
1.  % Data Capture - # valid hours / (total # houn in averaging period) • 100. Av. period BY YEAR - 8760 hrs; BY G.S. - 4416 hrs.
2.  % Valid Days - * days with 75 % of hours between 09:00 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index: S06 » X (OjJAOOO, where [Oj] is hourly ozone concentrations £ 60 ppb (Lee « at 1988).
4.  Cumulative Index SOS • Z (O}]/1000, where JQjJ is hourly ozone concentrations t 80 ppb (Lee et ai 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) - S06(08) • (# houn in that month) / (# valid hours).

-------
LASSEN VOLCANIC
 NATIONAL PARK
       CALIFORNIA
             BIOGRAPHIC INFORMATION
            Latitude
            Longitude
            Elevation (m)
            Basin Height (m) -
            Landuse
            City Population
            Basin Population -
            Start Summary
            End Summary
            Source of Data
 40.53° N
121.57° W
1788
95.4
Rural - Forest
Not In A City
70,049
October, 1987
July, 1989
National Park Service

-------
.0
*&
03


I
T3

•o

CO

c


tt>


C
o
c
.0
'&
H^
        0    6    12   18   23
      180
       90
                 B2
        0    6    12   18   23
                                 180
                                 90
   180
                                 90
                   180
                    90
A3
                      ^^^^^^^^^Hi+fi^^
                                           B3
                                   0    6   12   18   23
B4
                     0    6    12    18   23
                                   0    6   12   18   23
                         Hour of Day

-------
                                 Lassen Volcanic National Park
              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
        YEAR.
         %Days
  Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bahm et al (1990) (Figure 4C.1)2
A3  A4  AS   A6   Bl   B2  B3   B4  BS   Cl  C2  C3  C4   C5   C6  D4   E5
1980
1981
1982
1983
1984
198$

1987
1988
1989
All Years







4
• 5
1
4







57
43
73
53







0
8
3
6







0
1
4
2







0
0
0
0







2
1
0
1







39
22
5
20







0
6
9
6







0
13
3
9







0
5
2
4







0
0
0
0







0
0
0
0







2
0
0
0







0
0
0
0







0
0
0
0







0
0
0
0







0
0
0
0







0
0
0
0
B.  BY GROWING SEASON (May through October).
         % Days
 Year   Unclassified*
   Percent occurrence of diurnal ozone patterns as defined by Bahm et al (1990) (Figure 4C.1)2
A3  A4   AS   A6  Bl  B2   B3   B4   B5   Cl   C2  C3   C4   CS  C6   D4  E5
1980
1981
1982

1984

1986
1987
1988
1989
All Years







14
7
4
7







17
28
4
24







0
12
13
12







0
2
17
4







0
0
0
0







0
1
0
1







67
18
9
19







0
9
35
12







0
22
13
19







0
9
9
8







0
0
0
0







0
0
0
0







17
0
0
1







0
0
0
0







0
0
0
0







0
0
0
0







0
0
0
0







0
0
0
0
C BY MONTH (composited over years).
         %Days
 Month   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4G1)*
 A3  A4  AS   A6   Bl  B2   B3  B4   B5   Cl   C2  C3  C4   CS  C6  D4   E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
2 90 2
0 94 3
0 77 0
17 60 0
9 30 10
13 15 8
4 19 14
4 12 17
8 42 17
7 - 33 4
0 38 0
3 74 0
% days with unidentified diurnal
Pattern identifier relates to degr
0 0
0 0
0 0
0 0
0 0
0 0
9 0
0 0
8 0
0 0
0 0
0 0
patterns in
0
0
0
0
0
4
0
0
0
0
5
0
8 0
3 0
17 6
0 20
0 20
38 12
16 19
0 12
4 0
41 11
57 0
26 0
000
000
000
20 0 0
30 10 0
23 0 0
9 14 0
50 8 0
17 12 0
440
000
000
0
0
0
0
0
0
0
0
0
0
0
0
hourly ozone concentration (see Bahm et al.
ee of diurnal variation in ho
urly ozone concentrations i
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
4 0
0 0
0 0
1990).
(A curves
0
0
0
0
0
0
0
0
0
0
0
0

- least
0
0
0
0
0
0
0
0
0
0
0
0

0
b
0
0
0
0
0
0
0
0
0
0

0
0
0
0
0
0
0
0
0
0
0
0

variation; E curv
      greatest variation) and daily mean (1 curves • lowest mean; 6 curves highest mean) as described by Behm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                               Lower Kaweah, Sequoia National  Park  (AIRS)

                                               BASIC STATISTICS
  A.  BY YEAR (June through October).
         %Dala % Valid
 Year     Capt;   Days2    5
                        Peroentiles and Arithmetic Mean (ppb)
                     10     25    50  Mean*std   75     90
                                                                  % hours i. x (ppb)       Days i x
                                                        95     60     80     100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
-
.
20
15
.
.
-
-
.
19
15
.
-
-
-
.
20
10
.
-
-
-
-
30
20
.
-
-
-
.
40
30
.
.
-
-
.
60 620*26
60 56.7*27
.
-
-
-
-
80
60
-
-
-
-
-
90
90
.
-
-
-
-
100
100
-
-
-
-
-
61
52
-
-
-
-
-
34
29
-
-
-
-
-
9
7
-
.
-
-
-
1
0
.
-
-
-
-
7
4
-
-
-
All Years   17
        17
        10    20     40    60   59.7±26
                                    80
                                     90    100
                                            57
                                            32
                                                                                                           11
  B.  BY GROWING SEASON (June through October).
       % Data  % Valid
Year     Capt    Days   5
                     Percentiles and Arithmetic Mean (ppb)
                   10    25     50   Mean*std  75     90
                                                          S063 SOS*     % noun i. x (ppb)   Days t. x
                                                     95   (ppm hr)    60    80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
39
30
39
29
20
10
30
20
40
30
60   62.0±26
60   56.7±27
80
80
90
90
100
100
84   53
55   35
61
52
34
29
All Years  35
      34    10
            20     40
                    60  59.7*26    80
                                  90    100
                                                    57   32
                                                               1   11
  C  BY MONTH5.

       % Data  % Valid
Month    Capt   Days  5
                     Peroentiles and Arithmetic Mean (ppb)
                   10    25     50   Mean±std  75     90
                                                           S06 SOS*      % hours 2 x (ppb)   Days i x
                                                      95    (ppm hr)    60   80    100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
-
-
20
29
76
62
31
-
-
-
-
20
27
74
62
29
.
•
-
-
30
40
40
10
10
.
•
-
.
40
40
50
20
10
.
•
•
.
60
50
70
30
20
.
•
-
-
80
70
80
SO
30
.
•
-
-
75.8*23
653*18
77.1*20
46.7*21
313*19
.
•
-
-
90
80
90
60
40
.
•
-
-
100
90
100
70
60
.
•
-
-
110
90
110
80
70
.
•
-
-
50
40
54
17
7
.
•
-
.
38
22
40
6
2
.
•
-
-
82
72
87
32
13
.
•
-
.
56
34
58
10
3
.
•

-
19
4
18
a
0
.
•
-
.
3
0
1
0
0
.
•
-
.
2
1
8
0
0
.
-
1.  % Data Capture - # valid hours / (total # noun in averaging period) • 100. Av. period BY YEAR - 8760 hrs; BY G.S. - 4416 hrs.
2  % Valid Days - * days with 75 % of hours between 09:00 and 21.-00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index:  S06 - X [OjJ/1000, where [Qj] h hourly ozone concentrations * 60 ppb (Lee et al. 1988).
4.  Cumulative Index:  SOS - I {OjJAOOO, where J0j] is hourly ozone concentrations * 80 ppb (Lee et al. 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) - S06{08) • (# noun in that month) / (* valid hours).

-------
     LOWER KAWEAH,
SEQUOIA NATIONAL PARK
       CALIFORNIA
                 BIOGRAPHIC INFORMATION
               Latitude
               Longitude
               Elevation (m)
               Basin Height (m) -
               Landuse
               City Population
               Basin Population -
               Start Summary
               End Summary
               Source  of Data
 36.57° N
118.78° W
1901
76.9
Rural
Not In A City
2,082,850
June, 1985
September, 1986
AIRS (06-107-0002)

-------
.0
°4->
Cfl
     LOWER KAWEAH, SEQUOIA NATIONAL PARK (AIRS)



          DOMINANT DIURNAL PATTERNS IN HOURLY

             OZONE CONCENTRATIONS (JUN - OCT)
03
"O
c

4-1
(A

o

o
d-

vS?

c
o
180




 90
                 B3
                                180
                                 90
0    6   12   18   23
                                  A4
                                  0    6    12   18   23

-------
                        Lower Kaweah, Sequoia National Park (AIRS)


              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS


A.  BY YEAR (June through October).

         % Days         Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C1)2
  Year   Unclassified'    A3  A4   A5   A6   Bl   B2  B3  B4   B5   Cl  C2  C3   C4  CS  C6  D4   ES
1980
IQfil
1982
1QR1
1984
1985
1986
1Qf*7
IQftft
iQftq





3
4







0 11 28 39
6 8 29 29







02SSS03200000
2466220600000


All Years     4         3   9   28  34
B.  BY GROWING SEASON (June through October).


         % Days          Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C1)2
 Year   Unclassified7    A3  A4  A5  A6   Bl  B2   B3  B4   B5   Cl  C2  C3  C4  CS   C6  D4   E5
IQftfi
IQftl
1982
10ft"*
1QR4
1985
1986
1QR7
1988
1989





3
4
-





0
6
-





11
8
-





28
29
-





39
29
-





0
2
-





2
4
-





5
6
-





5
6
-





5
2
-





0
2
-





3
0
-





2
6
-





0
0
-





0
0
-





0
0
-





0
0
-





0
0
-
All Years     4         3   9   28   34
C BY MONTH (composited over years).
% Days Percent
Month Unclassified7 A3 A4
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
.
. .
0 00
0 0 IS
0 20
6 3 17
11 6 19
.
.
% days with unidentified diurnal
Pattern identifier relates to degr
occurrence of diurnal ozone
AS A6 Bl B2 B3
-
.
0 100
77 8
23 72
33 0
0 0
-
-
-
.
0 0
0 0
0 0
0 0
6 19
.
-
-
.
0
0
0
13
12
-
-
patterns as defined by B&hm et al (1990) (Figure
B4 BS Cl C2 C3 C4 CS C6
.
.
000
000
020
17 7 0
666
.
-
-
.
0
0
0
3
6
.
-
-
.
0 0
0 0
0 0
7 0
12 0
.
-
patterns in hourly ozone concentration (see B&hm et al. 1990).
ee of diurnal variation in hourly ozone concentrations (A curves
-
.
0
0
0
0
0
.
-
- least
-
.
0
0
0
0
0
.
-
4C.1)2
D4
-
.
0
0
0
0
0
-
-
ES
•
-
0
0
0
0
0
-
•
variation; E curv
      greatest variation) and daily mean (1 curves • lowest mean; 6 curves highest mean) as described by B&hm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                               Lower Kaweah, Sequoia National Park (NFS)

                                               BASIC STATISTICS
  A.  BY YEAR.

        %Data % Valid
Year     Capt;   Days2   5
    Perceotiles and Arithmetic Mean (ppb)
 10     25    50   Mean*std   75     90
             % bouts 2 z (ppb)      Days z x
   95     60      80     100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Yean
-
.
20
-
68
93
25
51
-
.
19
-
70
96
25
53
-
.
20
-
17
24
5
15
-
.
30
-
22
28
9
20
-
.
40
.
31
35
15
30
-
.
60
-
42
47
22
43
.•
.
610*26
-
45.2*19
49.6*19
215*15
46.2*22
-.
.
80
-
59
62
28
61
-
-
90
-
73
76
36
77
-
-
100
-
80
84
55
85
-
-
61
-
24
28
4
27
-
.
34
-
5
8
1
9
-
-
9
-
0
1
0
1
-
.
1
-
0
0
0
0
-
.
7
-
0
0
0
7
  B.  BY GROWING SEASON (May through October).
       % Data  % Valid
Year    Capt    Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50  Mean**ld  75     90
     S065 SOS*      % hour* i x (ppb)   Days t x
95   (ppm hr)    60    80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Year*
-
.
39
.
94
95
5
58
-
.
39
.
97
99
4
60
-
-
20
-
16
30
20
21
-
-
30
.
25
36
31
30
-
.
40
-
37
46
44
41
-
.
60
-
50
59
55
56
-
-
610*26
.
50.8*20
593*18
56.1*20
563*21
-
-
60
-
65
73
70
71
-
-
90
-
77
83
83
83
-
.
100
-
83
90
88
90
-
.
84
-
101
152
7
-
-
-
53
-
28
55
3
-
-
.
61
-
33
48
40
44
-
.
34

8
15
14
15
-
-
9
-
0
1
1
2
-
-
1
-
0
0
0
0
.
.
7
-
0
0
0
7
  C  BY MONTH5.

       ft Data % Valid
Month    Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50   Mean*std  75     90
      S06 SOS*      % hours t x (ppb)   Days t x
 95    (ppmhr)    60   80    100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
91
92
95
77
64
54
62
93
79
73
94
82
95
93
100
80
65
54
64
97
82
76
97
85
17
9
4
21
25
18
31
32
18
12
16
19
19
12
8
26
31
25
38
38
30
20
19
22
23
21
17
35
40
38
48
50
40
34
24
28
28
33
29
46
48
52
61
66
53
50
31
32
27.7*07
312*14
31.5*19
45.9*15
50.0*16
53.7*22
610*19
65.1*20
533*20
49.6*21
30.7*10
30.9*06
32
44
48
56
59
70
76
80
69
67
36
35
37
49
57
66
73
83
88
90
80
76
42
38
39
52
63
72
78
90
94
100
86
83
47
39
0
1
4
10
14
22
32
37
21
19
1
0
0
0
1
1
3
10
15
18
7
5
0
0
0
1
8
19
24
38
56
64
39
34
1
0
0
0
0
2
4
IS
22
27
11
7
0
0
0
0
0
0
0
2
3
6
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
1
4
0
0
0
0
1.  % Data Capture - * valid hours / (total # hours in averaging period) • 100. Av. period BY YEAR - 8760 tin; BY GJS. - 4416 tin.
1  % Valid Days - * days with 75 % of hours between 09:00 and 21:00 / (total * days) *  100 (Federal Register 1979).
3.  Cumulative Index  S06 - I [OjJ/1000, where [Oj] is hourly ozone concentrations 2 60 ppb (Lee et al. 1988).
4.  Cumulative Index:  SOS - Z [Ojl/lOOO, where J0jj is hourly ozone concentration* z 80 ppb (Lee et aL 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) - S06(08) • (* hours in that month) / (* valid hours).

-------
     LOWER KAWEAH,
SEQUOIA NATIONAL PARK
       CALIFORNIA
                BIOGRAPHIC INFORMATION
               Latitude
               Longitude
               Elevation (m)
               Basin Height (m) -
               Landuse
               City Population
               Basin Population -
               Start Summary
               End Summary
               Source of Data
 36.57° N
118.78° W
1890
76.9
Rural - Forest
Not In A City
2,082,850
August, 1985
July, 1989
National Park Service

-------
c
CO

*o

c
CO
4_»
vo
c
O

+1

2s
ex

>8?


.2

e
c
(0
     LOWER KAWEAH, SEQUOIA NATIONAL PARK (NFS)




         DOMINANT DIURNAL PATTERNS IN HOURLY

            OZONE CONCENTRATIONS (MAY - OCT)
     180





     90
               A6
180





 90





 0
B5
           6    12   18   23
       6    12    18   23
O
c
6
C
O
N
O
!
IOU
90
0
(
rvr
_.*«T111ft.

) 6 12 18 23
                              180
                               90
          A5
                                     6   12   18   23
                       Hour of Day

-------
                         Lower Kaweah, Sequoia National Park (NFS)


              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS

A.  BY YEAR.

         % Days          Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure
  Year   Unclassified7    A3  A4  A5   A6  Bl  B2  B3   B4   B5   Cl  C2   C3  C4   CS   C6  D4  E5
1980
1981
1982
1984
1985
1987
1988
1989
All Years
B. BY
Year
1980
1981
1982
1985
1987
1988
1989
All Years
3
6
1
6
3
GROWING
%Days
Unclassified'
3
4
0
2





0 11
18 16
28 20
8 0
20 16





28
23
28
0
23





39 0 2 5
1 0 14 4
5063
0 26 65 0
7 3 14 3
SEASON (May through October).
Percent occurrence of diurnal ozone
A3 A4 AS A6 Bl B2 B3





0 11
4 19
6 20
4 18





28
32
48
38





39 0 2 5
2066
10 0 1 3
11 0 3 4





5
9
5
0
6





5
12
4
0
7
patterns as
B4 BS





5
10
6
7





5
16
8
11





0
0
0
0
0
defined
Cl





0
0
0
0





3
3
0
2
1





2
1
0
0
1
by Behm
C2 C3





3
4
0
2





2
1
0
1





0
0
0
0
0
etal
C4





0
0
0
0





0
0
0
0
0
(1990)
CS





0
0
0
0





0
0
0
0
0
(Figure
C6





0
0
0
0





0
0
0
0
0





0
0
0
0
0
4C.1)2
D4 ES





0
0
0
0





0
0
0
0
C BY MONTH (composited over years).
         %Days
 Month   Unclassified'
   Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure
A3  A4  AS  A6   Bl   B2   B3  B4   B5   Cl   C2  C3   C4  CS  C6  D4
E5
Jan
Feb
Mar
Apr
May*
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
0 52 0
2 31 19
10 16 27
14 22 33
4 12 29
0 0 19
0 3 14
1 4 7
7 4 19
2 2 26
4 46 2
0 79 0
% days with unidentified diurnal
Pattern identifier relates to degr
0 0
0 0
2 0
19 0
23 6
31 10
57 11
43 26
37 8
33 2
0 0
0 0
patterns in
2 46 .
14 33
22 27
0 6
0 2
0 10
0 0
0 0
0 0
0 7
0 39
0 21
hourly ozone
0
2
0
3
6
3
5
0
6
7
4
0
0
0
4
11
15
9
3
5
10
5
7
0
0 0
0 0
0 0
6 0
6 0
16 0
6 0
15 0
10 0
10 0
0 0
0 0
0
0
2
0
0
2
0
0
2
9
0
0
concentration (see Behm et al.
«e of diurnal variation in hourly
ozone concentrations i
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
6 0
0 0
2 0
0 0
1990).
(A curves
0
0
0
0
0
0
0
0
0
0
0
0

-least
0
0
0
0
0
0
0
0
0
0
0
0

0
0
0
0
0
0
0
0
0
0
0
0

variation;
0
0
0
0
0
0
0
0
0
0
0
0

E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by Behm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                                          Mammoth Lakes
                                         BASIC STATISTICS
  A. BY YEAR.

       % Data % Valid
Year    Capt*   Days2   5
    Perccntiles and Arithmetic Mean (ppb)
 10    25   SO Mean±std   75     90
            % hours t x (ppb)      Days £ x
  95     60     80    100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
•
.
62
95
96
90
98
-
88
•
.
61
91
93
87
98
-
86
•
.
10
10
20
20
20
-
20
"
-
20
20
30
20
20
-
20
-
.
30
20
40
30
30
-
30
™
-
40
30
40
40
40
-
40
•
.
37.7*16
34.5*16
45.8*15
414*16
422*15
-
40.8*16
-
-
50
40
SO
50
SO
-
SO
-
-
60
50
70
60
60
-
60
™
.
70
60
70
70
70
-
70
-
-
IS
9
23
20
19
-
17
™
-
1
1
4
3
3
-
3
-
-
0
0
0
0
0
-
0
-
-
0
0
0
0
0
-
0
;
-
0
0
0
0
0
-
0
 B.  BY GROWING SEASON (May through October).
      %Data  % Valid
Year    Capt   Days    5
  Pcnxntiles and Arithmetic Mean (ppb)
10   25    50  Mearutstd  75    90
     S063 S084    % hours * x (ppb)  Days t x
95   (ppmhr)    60   80  100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
-
.
85
92
98
85
98
-
92
-
-
14
14
15
16
16
-
15
-
.
20
10
30
20
30
-
20
-
-
20
20
30
30
30
-
30
-
.
20
30
40
40
40
-
40
"
-
40
40
SO
50
50
-
50
~
-
43.0*15
403*17
51.9*15
48.5*16
48.5*16
-
46.6*16
™
-
50
50
60
60
60
-
60
;
-
60
60
70
70
70
-
70
™
-
70
70
80
80
80
-
70
;
-
S3
49
IIS
86
95
-
. -
•
-
7
6
29
17
20
-
-
-
-
22
18
39
35
33
-
30
m
.
2
2
8
S
5
-
5
*
-
0
0
0
0
0
-
0
™
-
0
0
0
0
0
-
0
*
-
0
0
0
0
0
-
0
 C  BY MONTH5.
% Data % Valid Percentiles and Arithmetic Mean (ppb) S06 SOS* % hours t x (ppb)
Month Capt Days S 10 25 SO Mean*std 75 90 95 (ppm hr) 60 80 100 120
Jan 97 92 10 20 20 30 31.8*13 40 50 SO 10 2
Feb 97 96 10 20 30 30 319*12 40 SO SO 21 3
Mar 94 90 20 20 30 30 34.9*11 40 SO SO 10 1
Apr 86 84 20 20 30 40 41.4*14 SO 60 60 8 1 IS
May 97 96 20 20 30 SO 44.1*16 60 60 70 13 1 26
Jun 97 97 20 20 30 SO 45.4*17 60 70 70 14 3 29
Jul 95 94 30 30 40 SO 49.5*15 60 70 70 18 3 36
0 0
0 0
0 0
1 0
2 0
4 0
S 0
Aug 96 97 30 30 40 SO 54.0*16 60 80 80 24 7 47 10 0
Sep 83 84 30 30 40 SO 49.0*16 60 70 80 IS 4 31
Oct 82 79 20 20 30 40 363*12 40 SO 60 41 6
Nov 95 90 20 20 30 40 35.6*11 40 50 SO 20 3
Dec 97 89 10 10 20 30 30.1*11 40 40 SO 10 0
1. % Data Capture - # valid noun / (total * hour* in averaging period) • 100. Av. period BY YEAR - 8760
6 0
1 0
0 0
0 0
hrs; BY GS.
0
0
0
0
0
0
0
0
0
0
0
0

Days 2 x
120 ppb
0
0
0
0
0
0
0
0
0
0
0
0
4416 hrs.
Z % Valid Days - # days with 75 % of hours between 09:00 and 21:00 / (total * days) • 100 (Federal Register 1979).
3. Cumulative Index S06 - I [OjJ/1000, where [Oj] b hourly ozone concentrations * 60 ppb (Lee et al. 1988).
4. Cumulative Index: SOS - I (OjJ/1000, where (
-------
MAMMOTH LAKES
       CALIFORNIA
              BIOGRAPHIC INFORMATION
            Latitude
            Longitude
            Elevation (m)
            Basin Height (m) -
            Landuse
            City Population
            Basin Population -
            Start Summary
            End Summary
            Source  of Data
 37.63° N
118.97° W
2395
2061.5
City Center - Commercial
3,929
27,569
April, 1984
December, 1988
AIRS (06-051-0001)

-------
CO
•o
c

co


-------
                                          Mammoth Lakes
              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.
          % Days
  Year    Unclassified*
   Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure
A3A4A5A6B1B2B3B4B5C1C2C3C4C5C6D4E5
1980
1OR1
10ft?
1983
1984
1985
1986
1987
1988
1000
Al! Years




7
4
2
2
5
4




27
32
28
27
37
31




IS
16
31
23
18
21




9
4
15
12
14
11




0
0
1
0
0
0




3
3
0
0
0
1




17
26
3
10
10
13




11
6
6
8
7
7




7
6
10
9
8
8




8
5
s
8
5
6




1
0
0
0
0
0




0
2
0
0
0
1




1
0
0
2
0
1




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
B.  BY GROWING SEASON (May through October).

         % Days          Percent occurrence of diurnal ozone patterns as defined by Bahm et al (1990) (Figure •
 Year   Unclassified7    A3  A4   AS   A6  Bl  B2  B3   B4   BS  Cl   C2  C3   C4   CS  C6   D4  ES
IQftA
1981
10ft?
IQftt
1984
1985
1986
1987
1988
1989
All Years




5
4
1
2
4
-
3




20
23
9
4
16
-
14




21
22
35
29
23
-
26




12
8
28
23
26
-
20




0
0
2
0
1
-
1




0
1
0
0
0
-
0




8
17
1
3
3
-
6




15
9
4
9
7
-
9




10
9
11
13
16
-
12




12
10
10
15
8
-
11




0
0
0
0
0
-
0




0
0
0
0
0
-
0




2
0
0
2
0
•
1




0
0
0
1
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
C  BY MONTH (composited over years).

         % Days          Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C1)2
 Month   Unclassified7    A3A4ASA6B1B2B3B4B5C1   C2C3C4CSC6D4ES
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
6 47 15
4 56 10
2 50 16
6 31 29
3 16 32
4 12 25
3 4 30
5 S 23
4 16 30
1 38 17
2 55 18
6 52 5
% days with unidentified diurnal
Pattern identifier relates to degr
0 0
0 0
0 0
5 1
14 0
17 1
19 0
44 2
26 1
1 0
0 0
0 0
patterns in
7
0
0
0
0
2
0
0
0
0
0
6
20 8
18 5
18 8
13 9
11 9
10 12
0 7
0 3
1 7
15 14
19 3
31 2
1
3
6
6
10
8
17
12
11
12
3
2
0 0
0 1
0 0
5 0
6 0
12 0
21 0
12 0
9 0
3 0
0 0
0 2
1
3
1
0
0
0
0
0
0
0
1
1
hourly ozone concentration (see Bshm et al.
ee of diurnal variation in hourly
ozone concentrations (
0 0
2 0
1 0
1 . 0
1 1
2 0
2 0
0 0
0 0
0 0
0 0
0 0
1990).
[A curves
0
0
0
0
0
0
0
0
0
0
0
0

• least
0
0
0
0
0
0
0
0
0
0
0
0

0
e
0
0
0
0
0
0
0
0
0
0

0
0
0
0
0
0
0
0
0
0
0
0

variation; E curv
      greatest variation) and dairy mean (1 curves - lowest mean; 6 curves highest mean) as described by. Behm et al (1990) and as
      illustrated in Figure 4C1.  Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                                                  Monterey

                                            BASIC STATISTICS
  A.  BY YEAR.

        96 Data % Valid
Year     Capt7   Days2    5
    Percentiles and Arithmetic Mean (ppb)
 10     25    50 Mean*std   75     90
  95
   % hours * x (ppb)      Days t x
60     80   100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
75
99
99
98
26
.
.
.
-
-
79
75
100
100
98
26
-
.
.
-
-
80
10
0
0
0
0
.
.
.
-
-
0
10
10
10
10
10
-
-
..
-
-
10
10
10
10
10
10
•
-
-
-
-
10
30
20
20
30
20
-
-
-
-
-
20
25.3*13
23.6*13
2Z5±14
24.1*14
21.6*13
-
-
-
-
-
23.6±13
30
30
30
30
30
-
-
•
-
-
30
40
40
40
40
40
-
-
-
-
-
40
40
40
40
40
40
-
-
-
-
-
40
1
0
1
1
1
-
-
-
-
•
1
0
0
0
0
0
-
-
-
-
•
0
0
0 *
0
0
0
-
•
•
-
•
0
0
0
0
0
0
-
•
-
-
•
0
0
0
0
0
0
•
•
-
-
•
0
  B.  BY GROWING SEASON (May through October).
      %Data  % Valid
Year    Capt    Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    SO   Mcatustd  75    90
     S063 SOS*     % hours i x (ppb)   Days t x
95   (ppmhr)    60    80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
50
99
99
97
.
.
.
.
.
-
86
50
99
99
97
.
.
.
.
.
-
86
10
10
10
10
-
.
.
.
-
-
10
20
10
10
10
-
.
-
.
-
-
10
30
20
20
20
-
-
-
• .
-
-
20
30
30
30
30
-
.
-
-
-
-
30
312*12
25.6*11
25.4*12
28.4*12
-
-
-
-
-
•
273*12
40
30
30
40
-
-
-
-
-
•
30
40
40
40
40
-
-
-
-
-
-
40
50
40
40
50
-
-
-
-
-
-
50
5
1
5
5
-
-
•
-
-
-
-
2
1
1
2
-
-
-
-
-
-
-
3
0
2
2
-
-
•
-
-
•
1
1
0
0
0
-
-
-
••-
-
-
0
0
0
0
0
-
-
-
-
-
•
0
0
0
0
0
•
-
.-
-
-
•
0
0
0
0
0
-
-
-
-
-
•
0
  C BY MONTH5.

      %Data  % Valid
Month   Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50  Mean*ttd   75     90
      S06 SOS6     % hours * x (ppb)   Days t x
 95   (ppmhr)    60   80   100   120  120 ppb












Jan 99 100 0 0 10 10
Feb 99 100 0 0 10 20
Mar 100 100 10 10 10 30
Apr 83 83 10 10 20 40
May 98 99 10 20 30 40
Jun 99 99 10 20 20 30
Jul 81 80 10 10 20 20
Aug 99 100 10 10 20 20
Sep 99 100 10 10 20 30
Oct 90 90 0 10 10 30
Nov 100 100 0 0 10 20
Dec 100 100 0 0 10 10
14.9*11 20
19.7*13 30
24,8*13 40
31.9*13 40
35.5*10 40
282*09 30
242*08 30
21.4*09 30
26.1*13 30
253*16 30
18.4*12 30
15.5*12 20
30
40
40
SO
50
40
30
30
40
40
30
30
1. % Data -Capture - * valid hours / (total # noun in averaging period) • 100.
2. % Valid Days - * days with 75 % of hours between 09:00 and 21:00 / (total
3. Cumulative Index S06 - I [Ojl/lOOO, where [Oj]
4
. Cumulative Index SOS - I [OiJAOOO, where (Oj]
is hourly ozone
b hourly ozone
30
40
40
50
SO
40
40
30
40
SO
40
30
1
1
1
2
1
1
1
1
2
3
1
1
0
1
0
1
1
1
1
1
1
1
0
0
0
1
0
3
1
0
0
0
2
4
0
0
Av. period BY YEAR - 8760
*days)'
concentrations 2 60
concentrations * 80
100
ppb
ppb
0
0
0
0
0
0
0
0
1
1
0
0
hrs;
0
0
0
0
0
0
0
0
0
0
0
0
BY
0
0
. 0
0
0
0
0
0
0
0
0
0
G.S. -
0
0
0
0
0
0
0
0
0
0
0
0
4416 hrs.
(Federal Register 1979).
(Lee et aL
(Lee et aL
1988).
1988).








5. Statistics (or monthly composites over the period of record.
6
. Monthly estimate of S06(08) * 506(08) • (# hours
in that month)
/ (# valid
hours).








-------
MONTEREY
       CALIFORNIA
          BIOGRAPHIC INFORMATION
        Latitude
        Longitude
        Elevation (m)
        Basin Height (m)
        Landuse
        City  Population
        Basin Population
        Start Summary
        End  Summary
        Source of Data
 36.60° N
121.90° W
23
0
City Center - Commercial
27,558
503,590
January, 1980
April, 1984
AIRS (06-053-1001)

-------
c

o
• «•*
4->
C3
•o

w
•o
c
O
.0
ex
c

o
• v—l
4-1

C3
o
c

8
c

<§
o
                        MONTEREY




          DOMINANT DIURNAL PATTERNS IN HOURLY

            OZONE CONCENTRATIONS (MAY - OCT)
                   180
                   90
                  180
 90
180
 90
           B3
                     0    6    12   18  23
          A3
                     0    6    12   18  23
82
                     0    6    12   18   23
                         Hour of Day

-------
                                             Monterey

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.

         % Days
  Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bshm et al (1990) (Figure
A3  A4   A5  A6  Bl  B2   B3   B4   BS   Cl  C2  C3  C4   CS   C6  D4
                                                                       E5
1980
1981
1982
1983
1984
ios<;
1987
IQftft
IQftO
All Years
B. BY
Year
1980
1981
1982
1983
1984
1QRA
1W7
1988
1989
All Years
7
7
5
6
9

-


6
GROWING
%Days
Unclassified7
7
6
3
6

-

.
-
5
27
20
20
24
6




21
0
1
1
0
0





1
SEASON
A3
50
23
29
33




.
-
31
0
0
0
0
0





0
(May
0 10 37 4
0 11 44 S
0 IS 33 4
0 13 33 8
0 14 40 6





0 12 37 S
through October).
Percent occurrence of diurnal ozone
A4 AS A6 Bl B2 B3
1
2
2
0




_
-
1
l
0
0
0




.
-
0
0 0 26 7
0 2 SI 7
0 9 42 3
0 1 36 10




....
.
0 3 41 7
4
2
2
2
3





2

0
0
1
0
1





1

patterns as
B4 BS
8
3
1
4




.
-
4
1
0
1
1




.
-
1
4
5
9
6
6





6

defined
Cl
0
2
3
1




.
-
2
9
7
10
8
19





9

4
3
S
6
6





5

by Bshm
C2 C3
1
6
8
6




_
-
6
4
4
3
7




.
-
4
0
1
0
0
0





0

etal
C4
0
1
0
1




.
-
0
0
0
0
0
0





0

(1990)
CS
0
0
0
0




.
-
0
0
0
0
0
0





0

(Figure
C6
0
0
0
0




.
-
0
0
0
0
0
0





0

0
0
0
0
0





0

4C1)2
D4 ES
0
0
0
0




.
-
0
0
0
0
0




.
-
0
C BY MONTH (composited over years).
         % Days
 Month   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bshm et al (1990) (Figure 4C1)*
A3  A4   AS  -A6  Bl  B2   B3  B4   BS   Cl   C2  C3  C4   CS   C6  D4   ES
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Scp
Oct
Nov
Dec
1.
2.
7
7
7
5
2
S
7
3
8
5
12
4
4
9
17
33
«2
47
23
6
24
15
7
9
% days with unidentified
Pattern identifier
relates
0
0
0
2
4
0
0
0
0
2
0
0
diurnal
to degr
0 0 41 29 0
0 0 15 41 1
0 0 6 42 6
0 0 1 19 18
0 0 0 8 10
00 3 37 3
0 0 2 67 2
0 0 9 72 2
0 0 3 47 8
1 0 5 30 14
0 0 18 36 1
0 0 34 37 0
0 0 IS
1 1 11
402
432
900
400
000
002
3 1 3
425
0 0 14
0 0 16
10
21
13
3
0
3
1
7
6
18
21
3
patterns in hourly ozone concentration (see Bshm et
ee of diurnal variation in bov
1 0
1 0
11 0
13 1
6 1
4 1
4 0
1 0
S 0
5 0
3 0
0 0
aL 1990).
jrly ozone concentrations (A curves
0
0
0
0
0
0
0
0
0
0
0
0

. least
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
0
0

variation; E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by Bshm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the turns of percentages do not always equal 100.

-------
                                                        Ojai

                                               BASIC STATISTICS
  A.  BY YEAR.

        %Data % Valid
Year     Capt'   Days2   5
                 Percealiles and Arithmetic Mean (ppb)
              10     25    SO  Mean**td   75     90
                                                      % hour* z x (ppb)       Days i x
                                           95     60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
•
.
85
81
94
92
78
-
86
-
.
89
85
99
97
82
-
90
-
.
10
10
10
10
10
-
10
"
.
10
10
10
10
10
-
10
-
.
20
20
20
20
20
-
20
*
-
30
30
30
30
30
-
30
*
.
34.8*22
35.0*22
36.6*24
35.4*23
37.9*24
-
35.9*23
™
.
SO
SO
so
so
50
-
50
*
-
70
70
70
70
70
-
70
;
-
80
80
80
80
80
-
80
-
-
17
16
20
19
23
•
19
;
-
6
6
8
7
9
-
7
;
-
i
2
3
2
2
-
2
;
.
0
0
0
0
0
-
0
\
-
7
8
13
11
13
•
52
  B.  BY GROWING SEASON (May through October).
1
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
% Data
Capt
;
.
88
67
93
94
92
.
% Valid
Days 5
;
.
94
71
97
99
97
.
-
.
10
10
10
10
10
.
Percentiles and Arithmetic Mean (ppb)
10 25 SO Mean*std 75 90
;
.
10
10
10
10
10
.
;
.
10
20
20
20
20
.
;
.
40
40
40
40
40
-
-
.
39.9*25
41.3*25
4X9*28
4ZO*25
45.2*26
-
-
-
60
60
60
60
60
-
-
.
80
80
80
80
80
-
95
-
.
80
90
90
90
90
-
S063
(ppcn
-
-
78
61
103
92
106
-
S08*
hr)
';
.
36
31
54
41
52
-
%
60
-
.
27
27
33
30
35
-
hours i x (ppb) Days & x
80 100 120 120 ppb
-
.
10
11
14
11
14
-
-
.
2
3
4
3
4
-
-
-
0
1
,1
1
1
-
-
-
6
6
9
9
12
-
All Years  87
92    10
10
20
40   423*26   60
80    90
30    12
1    42
  C  BY MONTH5.
% Data
Month Capt
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
93
85
83
95
92
91
94
80
93
90
95
94
% Valid
Days S
97
86
87
99
99
95
99
86
97
94
100
99
10
10
10
10
10
10
10
10
10
10
10
10
Percentiles and Arithmetic Mean (ppb)
10 25 SO Mean*std 75 90
10
10
10
20
20
10
10
10
10
10
10
10
10
20
20
20
30
20
20
20
20
20
10
10
20
30
40
40
40
40
40
40
30
30
30
20
2Z3*14
29.4*15
35.5*18
413*22
45.1*24
44.2*25
4Z4*27
44.5*30
39.7*27
382*23
27.0*16
2Z2*12
30
40
SO
SO
60
60
60
70
60
SO
40
30
40
SO
60
70
80
80
80
90
80
70
SO
40
95
SO
SO
70
80
90
90
90
100
90
80
SO
40
S06 SOS*
(ppm hr)
1
3
6
12
18
19
19
22
IS
12
3
1
1
1
2
S
8
8
9
13
8
6
1
1
% hours t x (ppb)
60 80 100 120
2
4
11
22
32
35
32
36
27
22
4
1
0
1
2
7
12
13
13
18
10
8
1
0
0
0
1
2
3
3
4
6
4
2
0
. 0
0
0
0
1
0
0
1
1
1
0
0
0
Days fcx
120 ppb
0
1
1
7
4
4
5
13
12
4
1
0
1.  % Data Capture - # valid hours / (total * hours in averaging period) • 100.  Av. period BY YEAR - 8760 brs; BY OS. - 4416 hrs.
Z  % Valid Days - * days with 75 % of hours between 09:00 and 21:00 / (total * days) * 100 (Federal Register 1979).
3.  Cumulative Indec  S06 - I (Ojl/1000, where (Oj] b hourly ozone concentration* t 60 ppb (Lee et al 1988).
4.  Cumulative Index:  SOS - £ (OjJ/lOOO, where [Oj] b hourly ozone concentrations i 80 ppb (Lee et aL 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 806(08) - 506(08) • (* hours in that month) / (# valid hours).

-------
OJAI
       CALIFORNIA
      BIOGRAPHIC INFORMATION
     Latitude
     Longitude
     Elevation (m)
     Basin Height (m) -
     Landuse
     City Population
     Basin Population -
     Start Summary
     End Summary
     Source of Data
 34.45° N
119.27° W
233
153.9
Suburban - Mobile
6,816
11,201,922
January, 1984
December, 1988
AIRS (06-111-1003)

-------
                           OJAI



         DOMINANT DIURNAL PATTERNS IN HOURLY

            OZONE CONCENTRATIONS (MAY - OCT)
.rt

o
•o
cc
•o
c
03
4-1
t/5

o
c
o

-H
0.
c
o
     180
     90
     180
     90
        H+hH-
                B4
       0    6    12    18   23
B3
                 +Wi
       0    6   12   18   23
                                180
                                 90
                                180
                                 90
                                       6    12    18   23
                                           B5
                                  0    6    12    18   23
c
o
N
O
3

&
c
a
                  180
                   90
                             C4
                    0    6    12    18   23
                        Hour of Day

-------
                                                Ojai

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A. BY YEAR.

          % Days
  Year    Unclassified1
    Percent occurrence of diurnal ozone patterns as defined by Behm et a) (1990) (Figure 4C1)2
A3 A4  AS   A6  Bl  B2   B3   B4  BS   Cl  C2  C3   C4  CS   C6  D4   E5
IQftfi
1981
1QR9
1983
1984
1985
1986
1987
1988
1989
All Years




2
9
6
4
7
6




10
6
7
6
6
7




3
3
2
2
2
2




1
2
1
2
2
1




0
0
0
0
0
0




2
2
2
3
2
2




23
18
10
14
15
15




12
10
10
9
7
9




8
7
5
8
6
7




7
10
9
11
16
11




1
1
1
1
1
1




7
10
10
11
8
9




8
12
10
7
7
9




14
15
26
21
23
20




2
3
2
2
3
2




0
0
0
0
0
0




2
0
5
4
3
3




0
0
0
0
0
0
B.  BY GROWING SEASON (May through October).
         % Days
 Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bohm et al (1990) (Figure 4C1)2
A3  A4   AS   A6  Bl  B2   B3  B4   B5   Cl   C2  C3  C4  CS   C6  D4   E5
1980
IQftl
1982
1983
1984
1985
1986
1987
1988
1989
All Years




1
8
4
5
6
-
5




3
5
1
1
3
-
2




4
1
1
2
2
-
2




0
3
1
4
3
-
2




0
0
0
0
0
-
0




1
0
1
2
0
-
1




6
3
0
2
1
-
2




11
11
8
9
8
-
9




7
8
4
10
8
-
7




15
16
15
13
23
-
16




0
0
0
1
0
-
0




3
2
1
2
1
-
2




11
11
10
7
4
-
8




31
31
47
36
36
-
37




4
7
3
2
5
-
4




0
0
0
0
0
-
0




4
0
9
7
4
-
5




0
1
1
1
0
-
0
C  BY MONTH (composited over years).
         *Days
 Month   Unclassified'
   Percent occurrence of diurnal ozone patterns as defined by Bdhm et il (1990) (Figure 4C.1)*
 A3  A4  AS  A6   Bl  B2  B3  B4   B5   Cl   C2  C3   C4   CS  C6  D4   ES
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
Z
4 62
4 20 1
7 16 5
4 11 9
4 28
4 11
5 10
1 0 1
6 20
10 83
11 11 0
6 80
% days with unidentified diurnal
Pattern identifier relates to dcgr
0 0
0 0
1 0
2 0
2 0
3 0
1 0
1 0
3 0
4 0
0 0
0 0
patterns in
8
3
0
0
0
0
0
0
2
3
2
5
39 3
30 10
7 16
3 17
3 13
0 7
1 7
1 6
3 13
5 8
26 12
57 1
0
3
21
14
10
8
3
2
8
12
3
0
2 7
3 0
6 0
19 0
23 0
21 0
15 0
13 0
13 0
14 2
3 0
0 3
30 3 0
14 12 3
4 16 5
0 10 12
1 5 29
0 5 47
1 6 52
1 4 51
3 15 28
3 14 18
25 16 2
24 2 0
0
0
1
3
4
4
5
8
3
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
3
7
12
6
5
2
0
0
0
0
0
1
0
0
0
2
0
0
0
hourly ozone concentration (see B6hm et aL 1990).
ce of diurnal variation in ho
urly
ozone concentrations (A curves
-least
variation; E curv
      greatest variation) and dairy mean (1 curves - lowest mean; 6 curves highest mean) as described by Bfthm et al (1990) and as
      illustrated in Figure 4C1.  Note (hat due to numeric rounding, the sums of percentages do not always equal 100.

-------
                                                   Palm  Springs

                                                BASIC STATISTICS
  A.  BY YEAR.
Year
%Data  % Valid
 Capt7    Days2   5
   Percentiles and Arithmetic Mean (ppb)
10     25    50  Mean**td   75     90
           % hours * x (ppb)       Days i x
95     60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
97
98
98
98
94
95
94
87
.
-
95
97
97
98
99
99
99
98
91
.
-
97
10
10
0
0
0
0
0
0
.
-
0
10
10
10
10
0
0
0
10
.
-
10
20
20
20
20
20
20
20
20
.
-
20
40
40
40
40
40
30
40
40
.
-
40
46.7*31
47.1±31
423*29
41.8*28
40.6±30
37.5*28
39.0*29
39.7*27
.
-
41.9*29
60
60
60
60
60
50
60
60
.
-
60
90
90
80
80
80
70
80
80
.
-
80
100
110
100
90
100
90
90
90
.
-
100
32
33
28
27
26
23
27
25
-
-
28
IS
17
13
12
12
9
11
11
-
-
13
7
8
5
5
5
4
4
4
-
-
5
3
3
2
2
2
1
2
2
•
-
2
61
80
55
53
50
37
41
40
-
-
423
  B.  BY GROWING SEASON (May through October).
       %Data  % Valid
Year     Capt    Days    5
                       Percentiles and Arithmetic Mean (ppb)
                     10    25     50  Mean*std  75     90
                                             S063 SOS*     % noun t x (ppb)   Days i x
                                       95    (ppmhr)    60    80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
95
99
99
99
94
95
92
80
.
-
All Yean 94
C

Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
95
98
99
99
98
100
97
84
-
-
96
20
20
10
20
20
10
10
20
.
-
20
30
30
20
20
20
20
20
30
.
-
20
40
40
40
40
20
30
40
40
.
-
40
60 6Z6*31
60 62.4*31
50 S6.9±29
50 57.2*28
50 56.7*29
50 50.9*28
SO 55.7*28
50 56.9*26
.
-
50 57.4*29
80
80
70
70
70
70
70
70
.
-
70
100
100
100
90
100
90
90
90
.
-
100
120
120
110
110
110
100
110
100
.
-
110
190 120
199 134
169 103
171 96
154 95
125 67
153 83
132 73
.
-
-
54
54
47
49
45
38
48
48
-
-
48
28
31
24
22
23
16
21
22
.
-
24
14
15
10
9
10
7
9
8
-
-
10
7
6
4
4
4
2
3
3
-
-
4
63
75
S3
53
48
35
41
36
-
-
404
BY MONTH 5.
% Data
Capt
96
97
97
95
96
96
97
95
95
97
96
96
% Valid
Days
98
99
99
98
98
99
99
97
98
99
98
98

5
0
0
10
20
30
30
20
20
10
10
0
0

10
0
0
10
20
40
40
30
30
20
10
0
0
Percentiles
25
10
10
20
40
SO
SO
.40
40
30
20
10
0
and Arithmetic Mean
SO Mean*std
20 17.9*14
20 21.9*16
30 34.0*18
SO 47.8*21
60 62.7*25
70 705*28
60 65.0*31
60 61.2*29
40 473*26
40 363*20
20 21.9*17
10 15.6*14
75
30
30
40
60
80
90
80
80
60
SO
30
30
(PPb)
90
40
40
60
70
100
110
100
100
80
60
40
40

95
40
SO
60
90
110
120
120
120
90
70
SO
40
S06 SOS*
(ppm he)
1 1
1 1
6 2
16 7
34 19
42 29
37 24
33 20
18 9
9 3
2 1
1 1
9
60
1
2
11
29
56
69
S9
54
31
16
4
1
•> hours
80
0
0
2
9
26
40
31
27
12
4
1
0
tx
(PPb)
100 120
0
0
0
3
10
18
15
11
5
1
0
0
0
0
0
1
4
7
7
S
2
0
0
0
Days ii
120 ppb
0
0
1
18
67
95
106
97
34
5
0
0
I.  % Data Capture - * valid noun / (total * hours in averaging period) • 100. Av. period BY YEAR - 8760 hn; BY GS. - 4416 hrs.
2.  % Valid Days - * days with 75 % of hours between 0930 and 21:00 / (total * days) •  100 (Federal Register 1979).
3.  Cumulative Index:  S06 « I [Ojl/1000, where [Oj] is hourly ozone concentration* i 60 ppb (Lee et al 1988).
4.  Cumulative Index:  S06 « I [OjJ/1000, where [Oj] is hourly ozone concentrations 2 80 ppb (Lee et al 1988).
S.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) - S06(08) • (# houn in that month) / (* valid hours).

-------
PALM SPRINGS
       CALIFORNIA
            BIOGRAPHIC INFORMATION
          Latitude
          Longitude
          Elevation (m)
          Basin Height (m) -
          Landuse
          City Population
          Basin Population  -
          Start Summary
          End Summary
          Source of Data
 33.86° N
116.54° W
171
153.9
Suburban - Residential
32,366
611,117
January, 1980
December, 1987
AIRS (06-065-5001)

-------
 §
•c
•o


"H
CO
•o
c

4-i
v>


C
o
 c
 o
c
O
O
G

3

o
c

8

o
o

E
                       PALM SPRINGS




           DOMINANT DIURNAL PATTERNS IN HOURLY

             OZONE CONCENTRATIONS (MAY - OCT)
      180
       90
      180
       90
B3
         0    6    12    18   23
B5
        0    6    12    18   23
                    180
   90
                                 180
                90
                                 180
                90
             A5
A4
                   W4444i^H444^+I-H4^
                  0    6   12   18  23
A6
                  0    6   12   18  23
                      0    6    12    18   23
                         Hour of Day

-------
                                          Palm Springs

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.
%Days
Year Unclassified* A3
1980
1981
1982
1983
1984
1985
1986
1987
IQftft
A TOO
1989
&7O7
All Yean
5
4
3
4
4
4
2
3


4
9
7
7
9
10
6
9
9


8
Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C.1]
A4ASA6B1B2B3B4B5C1C2C3C4CSC6D4
11
S
8
4
8
6
S
9


7
13
16
16
14
12
IS
13
18


15
16
15
13
12
10
5
9
7


11
2
1
1
3
5
6
4
3


3
10
9
17
11
10
10
9
12


11
6
10
8
10
6
13
5
4


8
6
6
5
6
7
4
6
6


6
8
8
5
9
9
10
7
8


8
3
6
10
8
13
13
17
11


10
7
8
6
10
5
6
8
10


8
6
5
4
4
3
4
4
2


4
1
1
1
0
1
0
0
0


0
2
2
0
1
1
1
2
1


1
0
1
0
0
0
0
0
0


0
0
1
0
0
0
0
0
0


0
I2
ES
0
0
0
0
0
0
0
0


0
B.  BY GROWING SEASON (May through October).

         % Days          Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C.1)2
 Year   Unclassified1    A3  A4  AS  A6   Bl   B2   B3  B4   B5  Cl   C2  C3  C4   CS   C6  D4  E5
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
2
3
2
2
2
2
1
2

-
2
4
3
5
7
7
3
10
4

-
5
14
9
10
6
11
8
5
14

-
10
22
24
27
26
21
26
25
36

-
26
30
28
24
23
19
10
19
15

-
21
0
0
0
1
1
1
0
0

-
0
1
2
8
6
6
7
5
6

-
5
4
9
5
9
8
14
7
4

-
7
7
5
7
5
9
8
10
7

-
7
11
10
9
12
9
16
10
11

-
11
1
0
2
0
0
1
1
0

-
0
2
1
1
1
0
1
1
2

-
1
1
2
2
1
3
4
5
0

-
2
0
1
0
0
3
0
0
0

-
0
3
3
0
1
3
1
3
2

-
2
0
1
0
0
1
1
0
0

-
0
0
1
0
0
0
0
0
0

-
0
0
0
0
0
0
0
0
0

-
0
C BY MONTH (composited over years).
         % Days
 Month  Unclassified7
  Pei cent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C1)2
A3  A4  AS  A6   Bl  B2  B3  B4   B5  Cl   C2  C3  C4   CS   C6  D4  ES
Jan
Fcb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
9
6
•5
2
1
0
1
2
1
7
5
3
% days with
7
12
16
12
2
2
2
3
10
15
11
7
unidentified
Pattern identifier relates
0
0
5
19
20
5
8
7
10
8
0
0
diurnal
to degr
0 0 12 26 2
0 0 6 20 6
4 0 1 16 21
IS S 0 1 10
37 22 0 0 2
32 41 0 0 1
30 31 0 3 5
33 23 0 4 8
13 8 2 7 14
7 1 0 17 16
0 0 5 21 8
0 0 13 17 1
0 0
0 1
9 10
14 16
7 8
S 12
6 11
6 11
13 IS
7 10
1 2
0 0
patterns in hourly ozone concentration
ee of diurnal variation in ho
urty ozone
35
13
1
0
0
. 0
0
0
1
2
25
45
15
30
7
1
0
0
0
0
2
4
20
13
(see B&hm et
2 0
10 0
10 1
4 1
0 0
0 0
0 0
0 0
4 1
9 0
4 0
3 0
aL1990).
concentrations (A curves
0
0
0
1
0
2
2
4
1
1
0
0

.least
0
0
0
0
0
0
1
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

variation; E curv
      greatest variation) and dairy mean (1 curves - lowest mean; 6 curves highest mean) as described by Behm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                                                 Pasadena
                                            BASIC STATISTICS
  A.  BY YEAR.

        %Data % Valid
Year     Capt'   Days2    5
    Peroentiles and Arithmetic Mean (ppb)
 10     25    50 Mean±std   75    90
             % hours £ x (ppb)      Days 2 x
   95     60     80     100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
96
94
22
70
.
.
.
.
.
-
71
96
97
22
73
.
.
-
.
-
-
72
10
0
0
0
-
-
-
.
-
-
0
10
10
0
0
.
-
-
.
.
-
0
10
10
0
0
.
-
-
.
-
-
10
10
10
0
20
.
.
-
.
-
-
10
35.5*47
3Z8*44
9.7*18
35.2*52
.
-
-
.
-
-
3Z5±46
40
40
10
50
-
-
-
.
-
-
40
90
90
30
110
-
-
-
.
-
-
90
140
130
40
150
-
-
-
-
-
-
130
19
19
3
21
-
-
-
-
-
-
18
13
14
2
16
.
-
-
.
-
-
13
10
10 :
1
12
-
-
-
-
-
-
10
7
7
0
9
-
-
-
.
-
-
7
131
134
2
114
.
-
-
-
•
-
381
  B.  BY GROWING SEASON (May through October).
      %Data  % Valid
Year    Capt    Days    5
  Percentiles and Arithmetic Mean (ppb)
10    25    50  Mean±std  75     90
     S063 SOS4    % hours 2 x (ppb)  Days t x
95   (ppmhr)    60    80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Yean
94
93
.
79
.
.
.
.
.
-
89
93
98
.
82
.
.
-
-
.
-
91
10
10
.
0
-
-
-
.
.
-
0
10
10
.
0
-
-
-
.
.
-
0
10
10
.
0
.
-
-
.
-
-
10
20
20
.
20
.
-
-
-
.
-
20
47.0±59
47.8*55
.
48.6*62
-
-
-
.
.
-
47.8*58
70
70
.
80
-
-
-
-
-
-
70
130
130
.
140
-
-
-
-
-
-
130
180
170
.
180
-
-
-
-
-
-
170
146
149
.
140
-
-
-
-
-
-
-
129
131
.
125
-
-
-
-
-
-
-
28
30
.
32
-
-
-
-
-
-
30
22
24
.
26
-
-
-
..-
-
-
24
17
18
.
20
-
-
-
.
-
-
18
13
14
.
15
-
-
-
'-
.
-
14
112
122
.
108
-
-
-
-
-
-
342
  C  BY MONTH5.
      %Data % Valid
Month   Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50   Mean*std  75     90
      S06  S08*      % hours t x (ppb)   Days i x
 95    (ppmhr)    60   80   100   120  120 ppb
Jan 96 98 0 0 0 10
Feb 95 96 0 00 10
Mar 93 94 0 0 10 10
Apr 95 97 0 0 10 20
May 88 88 0 0 10 20
Jun 93 97 0 10 10 30
Jul 95 98 0 0 10 30
Aug 97 100 0 0 10 20
Sep 97 99 0 0 10 10
Oct 95 98 10 10 10 10
Nov 96 98 10 10 10 10
Dec 96 97 0 0 0 10
123*14
17.9*22
20.5*23
31.4*35
363*42
54.2*58
603*66
51.9*64
46.2*60
31.8*47
19.5*23
11.1*13
1. % Data Capture « 
-------
PASADENA
       CALIFORNIA
         BIOGRAPHIC INFORMATION
        Latitude
        Longitude
        Elevation (m)
        Basin Height (m)  -
        Landuse
        City Population
        Basin Population  -
        Start Summary
        End Summary
        Source  of Data
 34.15° N
118.12° W
255
123.1
City Center - Residential
118,072
11,201,922
January, 1980
September, 1983
AIRS (06-037-1004)

-------

•g
T3


•s
CO
•o
c
«J
4->
c/a
 C
 o

 +1
 c
.o
**3

 2
8
o
c
8
o
p
o
ffi
c

1
                        PASADENA



          DOMINANT DIURNAL PATTERNS IN HOURLY

             OZONE CONCENTRATIONS (MAY - OCT)
                   180
                   90
  Ql I I 11 1 H
 180
 90
                  270-
180-
 90-
  0-
           C2
   0    6   12   18   23
D4
   0    6    12    18   23
                              E5
                     0    6   12   18    23
                         Hour of Day

-------
                                              Pasadena
              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.

          % Days
  Year   Unclassified'
                        Percent occurrence of diurnal ozone patterns is defined by B&hm et al (1990) (Figure 4C.1)2
                     A3  A4  AS  A6   Bl  B2  B3  B4   B5  Cl   C2  C3   C4  CS  C6  D4   E5
1980
1981
1982
1983
1984
1985

1987
lOftfi
10SO
All Years
5
4
0
3





4
1
0
0
0





0
0
0
0
0





0
0
0
0
0





0
0
0
0
0





0
9
16
42
5





13
8
3
0
5





5
0
0
0
0





0
0
0
0
0





0
0
0
0
1





0
7
9
41
11





11
16
20
11
15





17
11
7
3
10





9
7
3
1
4





5
1
0
0
0





0
0
0
0
0





0
20
21
3
20





19
20
20
0
29





21
B.  BY GROWING SEASON (May through October).
        % Days
Year   Unclassified7
                         Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4G1)2
                      A3  A4  AS  A6  Bl  B2   B3  B4   B5  Cl   C2  C3   C4   CS  C6   D4  ES
1980
1QR?
1981
1983
1984
1985
1986
1QR7
1988
1989
All Years
3

1
2




m
-
2
001

000
000




* *
-
000
0

0
0




m
-
0
1

1
2




.
-
1
4 0

4 1
2 0




. .
-
3 0
0

0
0




m
•
0
0

1
2




.
-
1
2

2
1




.
-
2
8 10

11 6
4 6




.
-
8 7
6 1

6 0
4 0




. .
-
6 0
0

0
0




.
-
0
29

31
29




_
-
30
38

38
51




.
-
42
C  BY MONTH (composited over years).
         % Days
 Month   Unclassified'
                       Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C.1)*
                     A3  A4   AS   A6  Bl  B2   B3  B4   BS   Cl  C2 C3  C4   CS   C6  D4  ES
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
11
3
3
5
4
4
0
0
0
5
8
4
% days with
0
1
1
1
0
0
0
0
0
0
0
0
unidentified
Pattern identifier relates
0
0
0
0
0
0
0
0
0
0
0
0
diurnal
to degr
0 0 41 4
0 0 22 8
0 0 12 6
0 0 3 13
0 0 2 12
0001
0000
0020
0014
2044
0 0 27 2
0 0 44 6
patterns in hourly ozone
ee of diurnal variation in
0
0
0
0
0
0
0
0
0
2
0
0
0 0 33
0 0 17
0 0 15
001
022
030
000
002
000
008
0 0 19
0 0 42
22 0 0
37 4 0
31 21 5
7 27 17
9 21 9
164
1 11
329
868
33 13 0
35 4 0
800
0
0
0
0
0
3
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
10
10
24
24
31
30
34
33
19
12
0
0
0
0
7
20
51
66
46
39
15
0
0
concentration (see Behm et al 1990).
hourly ozone concentrations (A curves
• least
variation;
E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by B&bm et al (1990) and as
      illustrated in Figure 4C.1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                                     Pinnacles National Monument
                                           BASIC STATISTICS
  A.  BY YEAR.

        %Daia % Valid
Year     Capt'   Days*   5
    Percentiles and Arithmetic Mean (ppb)
 10     25    50  Mean*std   75     90
  95
   % hours * x (ppb)      Days i x
60    80    JOO   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
-
.
70
91
30
64
-
.
73
94
31
66
-
.
5
7
6
6
-
.
10
11
9
10
-
.
23
20
16
20
-
.
38
33
27
34
-
-
40.7±24
343*19
29.5*17
36.0*21
!
-
56
46
41
49
:
-
74
61
53
65
-
-
82
70
61
75
•
-
21
11
6
14
-
.
6
2
1
3
;
-
1
0
0
1
-
-
0
0
0
0
-
-
8
2
1
11
  B.  BY GROWING SEASON (May through October).
      % Data % Valid
Year    Capt    Days   5
  Perceniiles and Arithmetic Mean (ppb)
10    25    50  Mean±std  75    90
     S06*  SOS4     % hours t x (ppb)  Days i z
95   (ppmhr)    60   80  100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Yean
-
.
92
69
18
66
-
-
96
91
17
68

.
12
10
10
10
-
-
18
14
13
16
-
-
30
24
22
26
-
-
45
37
36
41
-
.
46.6±23
39.9*20
38.4*21
423*22
-
.
61
54
53
58
-
.
77
69
65
72
-
.
85
76
74
80
•
-
85
52
10
-
-
-
30
12
3
•
-
.
27
18
16
22
-
.
.8
3
3
5
-
.
2
0
1
1
-
.
0
0
0
0
•
-
8
2
1
11
 C  BY MONTH3.
      %Data % Valid
Month   Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50   Mean*std 75     90
     S06 SOS6     % hours * x (ppb)   Days t. x
 95   (ppm hr)    60   80   100   120  120 ppb
Jan 94 98 3 6 12 21
Feb 94 98 7 10 15 26
Mar 82 85 7 11 18 28
Apr 93 97 14 19 30 42
May 73 73 13 19 29 41
Jun 71 74 12 18 28 40
Jul 75 77 13 18 26 41
Aug 83 84 10 15 24 38
Sep 91 95 14 19 31 48
Oct 93 95 4 8 19 36
Nov 95 100 3 4 10 23
Dec 93 97 2 . S 12 24
223*14
283*17
29.4*15
43.7*19
423*18
433*21
435*22
41.1*22
4&8*23
37.7*24
23.6*15
233*14
33
40
40
56
55
56
60
56
64
54
36
33
42
51
49
70
68
73
73
71
80
71
43
40
1. % Data Capture - # valid houn / (total # hours in averaging period) • 100.
2. % Valid Days - * days with 75 % of hours between 09:00 and 21:00 / (total
3. Cumulative lodec S06 - I [O^J/IOOO, where [Oj]
4. Cumulative Index 506 - r [OjJ/1000, where [Oj]
b hourly
b hourly
ozone
ozone
46
57
56
79
73
81
81
79
89
79
47
46
1
2
2
11
10
12
14
12
17
11
1
1
0
1
1
4
2
4
4
3
7
4
0
0
Av. period BY YEAR
fdays)'
concentrations i 60
concentrations * 80
100
ppb
ppb
5. Statistics for monthly composites over the period of record.
6. Monthly estimate of 506(08) - 506(08) • (* houn
in that month)
/ (* valid
houn).

(Federal
0
4
3
20
18
21
25
21
0
1
0
5
2
6
6
4
31 10
19
0
1
• 8760
5
0
0
hrs;
0
0
0
1
0
1
1
1
3
1
0
0
BYG
0
0
0
0
0
0
0
0
0
0
0
0
2. ™
0
0
0
0
0
2
4
2
3
0
0
0
4416 hrs.
Register 1979).
(Lee et aL 1988).




(Lee et aL 1988).













-------
      PINNACLES
NATIONAL MONUMENT
       CALIFORNIA
               BIOGRAPHIC INFORMATION
              Latitude
              Longitude
              Elevation (m)
              Basin Height (m) -
              Landuse
              City Population
              Basin Population -
              Start Summary
              End Summary
              Source of Data
 36.49° N
121.16° W
335
30.8
Rural - Forest
Not In A City
503,590
May, 1987
July, 1989
National Park Service

-------
            PINNACLES NATIONAL MONUMENT



         DOMINANT DIURNAL PATTERNS IN HOURLY

            OZONE CONCENTRATIONS (MAY - OCT)
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'&
CO
•o


"2
CO
•o
c
CO
C
o

+1
ex
Cu
180




 90
                B4
                   180
                                90
      6    12    18   23
                                    A5
                          6    12   18   23
CO

•4-1
C
o
o

-------
                                Pinnacles National Monument
              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.
% Days
Year Unclassified*
1980
1981
1982
1983
1984
1985
1987
1988
1989
All Years
5
6
9
6
Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C.1)2
A3 A4 AS A6 Bl B2 B3 B4 B5 Cl C2 C3 C4 CS C6 D4 E5







26121272352619531000
6020 11133615 1 9 13 20000
7000 12327080 17 16 1 0000
5 26 1 21128418 11010 2 1 0 00
B.  BY GROWING SEASON (May through October).
         % Days
 Year   Unclassified*
   Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C.1)*
A3  A4  AS   A6   Bl  B2   B3  B4   BS  Cl  C2  C3  C4   CS  C6  D4   E5
IQfifl
IQfil
1982
IQftt
1984
1985

1987
1988
1989
All Years







6
4
4
5







1
4
0
3







7
0
0
4







13
5
0
9







2
0
0
1







1
0
0
0







3
3
4
3







27
41
65
36







5
8
0
6







32
25
26
29







0
0
0
0







1
0
0
0







1
9
0
S







3
3
4
3







2
1
0
1







0
0
0
0







0
0
0
0







0
0
0
0
C BY MONTH (composited over years).

         % Days          Percent occurrence of diurnal ozone patterns as defined by Bohm et al (1990) (Figure 4C.1)2
 Month   Unclassified*    A3A4A5A6B1B2B3B4B5C1C2C3C4CSC6D4ES
Jan
Feb
Mar
Apr
May
Jun
Jut
Aug
Sep
Oct
Nov
Dec

1.
2.
9
10
8
2
3
8
2
2
2
11
4
9

2 0
6 0
8 0
11 2
4 11
6 2
0 2
0 2
0 0
5 2
4 0
10 0

% days with unidentified diurnal
Pattern identifier
relates to degr
0 0
0 0
0 0
11 0
4 0
6 0
6 0
S 0
22 S
12 2
0 0
0 0

patterns in
5 33 7
0 17 19
3 19 42
0 S 25
0 S 36
0 6 37
0 0 40
0 0 SO
0 0 32
2 7 22
0 20 4
10 23 IS

0 0
3 0
0 6
9 32
4 35
4 29
8 38
2 17
12 27
S 20
2 0
3 0

hourly ozone concentration
ee of diurnal variation in ho
urry ozone
S
0
0
0
0
• 0
0
0
0
0
2
3

36 12 0
17 36 0
14 8 0
0 0 S
020
024
042
0 12 7
020
277
35 33 0
26 10 0
t
0
0
0
0
0
2
2
2
0
2
0
0

0
0
0
0
0
0
0
0
0
0
0
0

0
3
0
0
0
0
0
0
0
0
0
0

0
0
0
0
0
0
0
0
0
0
0
0

(see Behm et at 1990).
concentrations (A curves
• least
variation; E curv
      greatest variation) and daily mean (1 curves • lowest mean; 6 curves highest mean) as described by Behm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                                            Redwood National Park
                                              BASIC STATISTICS
  A.  BY YEAR.
% Data
Year Capt7
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Yean
-
.
10
91
20
40
% Valid
Days2 5
-
.
10
95
21
42
-
.
13
10
11
10
Pcrcentiles and Arithmetic Mean (ppb)
10 25 SO Mean±std 75 90
-
-
15
12
14
13
-
.
20
18
18
18
;
.
26
24
24
24
!
.
24.8*07
24.6*10
23.4*07
24.4*09
;
.
30
31
29
30
m
-
33
38
32
36
95
-
-
36
41
34
40
% noun i
60 80
-
-
0
0
0
0
m
-
0
0
0
0
t x (ppb)
100 120
• "-
.
0
0
0
0
—
-
0
0
0
0
Days 2x
120 ppb
-
.
0
0
0
0
  B.  BY GROWING SEASON (May through October).
       % Data  % Valid
Year    Capt    Days   5
  Pcrcentiles and Arithmetic Mean (ppb)
10    25    50  Mean*std  75     90
     SO*3 SOS*     % hours * x (ppb)   Days £ x
95   (ppm hr)    60    80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Yean
-
.
94
3
49
•
-
97
3
50
-'
-
8
8
8
-
-
10
10
10
-
.
15
13
15
-
-
22 223*09
19 17.7*06
22 22.0*09
-
.
28
22
28
-
-
35
25
34
™
-
39
26
39
;
-
0
0
-
-
.
0
0
-
-
-
0
0
0
-
.
0
0
0
\
•
0
0
0
*
.
0
0
0
-
-
0
0
0
  C  BY MONTH5.

       %Data % Valid
Month   Capt   Days   5
  PercentUes and Arithmetic Mean (ppb)
10    25    50   Mean*ttd  75     90
      S06 SOS*      % hours * x (ppb)   Days t x
 95    (ppmhr)    60   80   100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Men-
Dec
85
75
93
94
47
49
56
95
95
89
58
80
90
77
97
97
48
50
58
100
97
90
60
85
11
13
15
20
17
11
8
7
8
5
13
11
14
16
18
24
19
13
10
10
11
7
15
13
18
21
24
30
24
17
13
14
18
11
19
17
22
25
29
35
31
21
20
19
24
17
25
23
22.4*07
25.6*08
29.1*08
34.4*08
303*08
213*07
203*09
18£*07
23£*09
17.3*09
24.1*07
23.0*08
27
30
35
39
37
26
25
24
30
23
30
29
31
34
39
43
41
29
32
28
35
29
33
32
35
36
41
46
43
32
38
30
39
31
35
36
0
1
0
1
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
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
0
0
0
0
0
0
0
0
0
0
0
0
1.  % Data Capture - * valid hour* / (total # noun in avenging period) • 100.  Av. period BY YEAR - 8760 tin; BY G.S. * 4416 hrs.
2.  % Valid Days - * days with 75 % of boun between 09*0 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index: S06  - z [OjJflOOO, where [Oj] b hourly ozone eoncentrationi k 60 ppb (Lee el at 1988).
4.  Cumulative Index: SOS  - Z [OjJAOOO, where [Ojj is hourly ozone eoncentrationi * 80 ppb (Lee ct al. 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of S06(08) - S06(08) • (# noun in that month) / (# valid hours).

-------
REDWOOD NATIONAL PARK
       CALIFORNIA
                  BIOGRAPHIC INFORMATION
                 Latitude
                 Longitude
                 Elevation (m)
                 Basin Height (m) -
                 Landuse
                 City Population
                 Basin Population -
                 Start Summary
                 End Summary
                 Source of Data
 41.56° N
124.08° W
233
0
Rural - Forest
Not In A City
249,510
December, 1987
July, 1989
National Park Service

-------
               REDWOOD NATIONAL PARK



         DOMINANT DIURNAL PATTERNS IN HOURLY

           OZONE CONCENTRATIONS (MAY - OCT)
.o
'•&
CO
•o


03
4-1
V)
C
o
ex
s
180
90
B1
                   0    6   12    18   23
o
C
C
o
N
o
                 180
90
          B2
c
CO

I
  0   6   12   18   23
                       Hour of Day

-------
                                      Redwood National Park
               DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A BY YEAR.

          %Days
  Year    Unclassified'
   Percent occurrence of diurnal ozone patterns as defined by B6hm et at (1990) (Figure 4C.1)2
A3  A4   AS   A6  Bl  B2   B3   B4   B5  Cl   C2  C3   C4   C5  C6  D4   E5
lOftO
1981
1982

1QA4
igcc
1986
1987
1988
1989
All Years







0
2
0
2







24
24
27
24







0
0
0
0







0
0
0
0







0
0
0
0







7
10
9
9







66
65
64
65







0
1
0
1







0
0
0
0







0
0
0
0







0
0
0
0







0
0
0
0







3
0
0
0







0
0
0
0







0
0
0
0







0
0
0
0







0
0
0
0







0
0
0
0
B.  BY GROWING SEASON (May through October).

         % Days          Percent occurrence of diurnal ozone patterns as defined by Bahm et al (1990) (Figure
 Year   Unclassified7    A3  A4  AS   A6   Bl   B2  B3   B4   B5  Cl   C2  C3  C4   CS   C6  D4   ES
1980
1981
10S9
1983
1QA4
IQftS
IQftA
1Qft7
1988
1989
All Years








2
0
2


t





11 000 14 73 11001000000
00000 100 00000000000
10 000 14 74 1 1001 000000
C  BY MONTH (composited over years).

         % Days          Percent occurrence of diurnal ozone patterns as defined by Bahm et al (1990) (Figure 4G1)2
 Month   Unclassified1    A3  A4  AS  A6  Bl  B2   B3   B4   B5   O   C2  C3   C4   CS  C6 D4  ES
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
Z
0
0
6
0
8
0
0
0
0
4
0
0
% days with
17 0
24 0
54 0
81 0
42 0
4 0
6 0
0 0
11 0
4 0
20 0
18 0
unidentified diurnal
Pattern identifier relates to degr
0 0 12
000
002
000
000
004
0 0 18
0 0 11
004
0 0 48
000
0 0 18
71 0
73 0
42 2
IS 4
50 4
93 0
76 0
89 0
81 0
48 0
77 0
63 0
000
030
000
000
400
000
000
000
000
000
000
000
0
0
0
0
0
0
0
0
4
0
0
0
patterns in hourly ozone concentration (see Behm et al
ee of diurnal variation in hot
irty ozone concentrations
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
3 0
0 0
.1990).
(A curves
0
0
0
0
0
0
0
0
0
0
0
0

- least
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
0
0

variation; E curv
      greatest variation) and dairy mean (1 curves • lowest mean; 6 curves highest mean) as described by Behm et al (1990) and as
      illustrated in Figure 4C1.  Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                                                  San Bernardino
                                                BASIC STATISTICS
  A.  BY YEAR.

         %Data  % Valid
 Year      Capt'   Days2    5
     Percentiles and Arithmetic Mean (ppb)
  10     25    50  Meantstd   75     90
             % hours i x (ppb)      Days as x
   95     60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
1
90
96
95
94
93
32
.
.
-
72
1
92
99
99
98
96
33
.
.
-
74
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
20
10
10
20
20
20
.
-
-
20
13.5*20
38.0*52
31.7*46
33.0*48
34.8*46
34.0*44
27.6*34
.
.
•
33.8*47
20
50
40
40
50
50
40
-
-
-
50
50
120
100
100
100
100
70
-
-
•
100
60
160
140
140
140
130
100
.
-
-
140
7
24
20
20
22
22
17
. •
-
-
21
1
18
15
15
16
16
10
.
-
-
15
0
13
11
11
12
11
6
-
-
•
11
0
11
8
8
8
7
3
-
-
-
8
0
144
125
126
137
118
23
.
-
•
673
  B.  BY GROWING SEASON (May through October).
       % Data  % Valid
Year     Cap!    Days    5
  Percentiles and Arithmetic Mean (ppb)
10    25     50   Mean±std  75    90
     S063  S08*      % hours t x (ppb)   Days £ x
95   (ppm hr)    60    80   100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
.
87
95
95
95
93
16
.
.
-
80
.
90
99
99
99
98
17
.
.
-
84
.
0
0
0
0
0
0
.
.
-
0
.
0
0
0
0
0
0
.
.
-
0
.
10
0
0
0
0
10
.
.
-
0
.
30
30
30
30
30
30
.
.
-
30
.
57.7*63
483*56
50.8*60
48.9*56
47.1*52
41.8*46
.
.
-
50.2*57
.
90
80
80
80
80
70
-
.
•
80
.
160
130
140
130
130
110
.
.
-
140
.
180
165
170
160
150
140
.
.
-
170
.
185
166
178
168
154
22
.
.
-
-
.
166
146
157
147
132
18
.
.
-
-
.
39
34
36
35
35
30
.
.
-
35
.
31
27
28
27
26
21

.
-
28
.
24
20
22
21
18
14
.
.
•
21
.
20
15
16
15
12
.9
.
.
-
15
.
121
115
121
125
102
14
.
.
-
598
  C  BY MONTH5.

       %Data  % Valid
Month   Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    SO   Mean*std  75     90
      S06 S08*      % hours i x (ppb)  Days 2 x
 95    (ppm hr)    60    80    100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
93
90
85
95
95
94
92
92
92
93
94
81
96
93
88
97
99
99
97
95
96
96
95
82
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
10
10
10
0
0
0
0
0
0
0
10
15
30
30
40
40
30
20
10
0
0
11.6*15
14.9*20
2Z8*27
35.2*38
49.5*51
59.1*61
643*67
593*66
4Z2*53
26.8*33
14.4*21
9.9*14
20
30
30
SO
80
100
110
110
70
40
30
20
30
40
60
80
130
150
160
160
120
70
40
30
40
SO
80
110
ISO
180
190
180
ISO
100
SO
40
1
3
7
15
29
36
44
40
24
11
3
1
1
2
5
11
24
33
40
37
20
8
2
1
1
5
11
22
36
41
47
43
30
17
5
1
0
2
6
13
26
33
39
36
22
9
3
0
0
1
2
8
19
27
31
28
15
6
1
JO
0
0
1
5
13
20
23
22
11
3
0
0
0
4
15
48 '
108
117
135
132
78
28
7
1
1.  % Data Capture - * valid hours / (total # hours in averaging period) • 100.  Av. period BY YEAR - 8760 hrs; BY GS. - 4416 hrs.
Z  % Valid Days - * days with 75 % of hours between 0930 and 21:00 / (total # days) • 100 (Federal Register 1979).
3.  Cumulative Index:  S06 - Z (O.jJ/1000, where [Oj] is hourly ozone concentration! t 60 ppb (Lee el at 1988).
4.  Cumulative Index:  SOS - I [OjJ/1000, where [Oj] is hourly ozone concentrations 2 80 ppb (Lee et at 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) - S06(08) • (# hoOrs in that month) / (* valid hours).

-------
SAN BERNARDINO
       CALIFORNIA
             BIOGRAPHIC INFORMATION
           Latitude
           Longitude
           Elevation (m)
           Basin Height (m)  -
           Landuse
           City Population
           Basin Population  -
           Start Summary
           End Summary
           Source of Data
 34.11° N
117.28° W
320
123.1
City Center - Commercial
118,794
11,201,922
December, 1980
May, 1986
AIRS (06-071-0003)

-------
                      SAN BERNARDINO
 c
 o
•a
 03
'£
 o
•a

-2
 03
•o
 c
 03
*_>
 to
 C
 O
 ex
 ex

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4->

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 c:
 
-------
                                          San Bernardino
              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.

          % Days
  Year    Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bshm el al (1990) (Figure 4C.1)2
A3  A4   AS   A6  Bl  B2   B3   B4   B5   Cl  C2  C3   C4  CS   C6  D4   E5
1980
1981
1982
1983
1984
1985
1986
1QR7
lOftS
1QRQ
AU Years
0
1
1
2
2
1
1



1
0
0
2
1
1
2
1



1
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
4
11
13
6
4
4



7
0
3
5
5
2
5
2



4
0
1
0
0
2
2
2



1
0
1
0
0
0
0
0



0
0
0
1
0
1
1
2



1
25
19
18
19
12
14
21



17
75
15
13
10
16
14
12



14
0
6
7
10
8
9
16



8
0
4
5
5
7
9
15



6
0
2
5
8
5
4
0



5
0
6
2
4
1
3
1



3
0
16
17
14
22
19
16



17
0
22
14
12
17
14
7



15
B.  BY GROWING SEASON (May through October)/

         % Days          Percent occurrence of diurnal ozone patterns as defined by Bfthm et al (1990) (Figure
 Year   Unclassified7    A3  A4  A5   A6   Bl  B2   B3  B4   B5   Cl  C2  C3  C4   CS   C6  D4   E5
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years

0
0
1
0
1
0

0

0
3
0
1
1
0

1

1
0
0
0
0
0

0

0
0
1
0
0
0

0

0
0
0
0
0
0

0

0
4
2
1
1
0

2

1
1
2
1
3
5

2

2
0
1
1
1
0

1

1
0
0
0
1
0

0

1
2
1
1
1
9

1

1
3
1
1
1
0

2

8
4
5
8
4
5

6

3
9
8
6
9
27

8

5
5
7
6
14
5

7

3
10
16
8
5
0

8

12
4
9
2
5
5

6

21
27
23
33
30
23

27

42
27
24
32
25
23

30
C  BY MONTH (composited over years).
         %Dayi
 Month   Unclassified'
   Percent occurrence of diurnal ozone patterns as defined by Bohm et al (1990) (Figure 4C.1)2
A3 A4   AS   A6   Bl   B2  B3  B4   B5   Cl   C2  C3   C4   CS  C6  D4   E5
Jan
Feb
Mar
Apr
May
JUD
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
1
2
3
3
1
2
0
0
0
1
1
3
% days with
2
1
1
4
2
1
0
0
0
2
1
0
unidentified
Pattern identifier relates
0
0
0
0
0
1
0
0
0
• 0
0
0
diurnal
to degr
0 0 18 10
0 0 13 4
0068
0015
0001
0012
1000
0020
0062
0025
0 0 11 2
0 0 30 5
patterns in hourly ozone
ee of diurnal variation in
1
1
0
5
3
1
0
0
0
0
1
1
0 0 49
0 0 29
0 0 10
1 11
2 3 1
020
010
0 1 0
022
007
0 0 47
0 0 52
20 0 0
37 7 1
27 21 12
8 21 17
2 10 10
028
1 0 7
0 0 1
7 17 6
26 16 12
24 4 1
11 2 0
0
1
1
5
7
12
6
10
10
2
0
0
0
0
0
1
5
6
12
10
5
0
0
0
1
4
13
23
28
23
24
36
25
24
9
0
0
0
1
6
25
42
49
41
18
4
0
0
concentration (see Behm et al. 1990).
hourly ozone concentrations (A curves
. least
variation;
E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by B&hm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                                                  Santa Barbara
                                               BASIC STATISTICS
  A.  BY YEAR.

        %Data % Valid
Year     Capt'   Days2   5
    Perceniiles and Arithmetic Mean (ppb)
 10     25    50  Mean*std    75     90
             % noun £ x (ppb)       Days 2 x
   95     60     80     100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Yean
93
97
99
98
98
98
95
92
94
-
96
93
97
99
99
98
99
96
97
99
-
97
0
10
0
10
10
10
10
10
10
-
10
10
10
10
10
10
10
10
10
10
-
10
20
20
20
20
20
•20
20
20
20
-
20
40
30
30
30
30
30
30
30
30
-
30
36.1*20
31.2*18
29.6±17
30.8*17
31.6*17
31.0*17
29.7*17
30.7*17
31.0*17
-
313*18
50
40
40
40
40
40
40
40
40
-
40
60
50
50
50
SO
50
50
SO
50
-
50
70
60
60
60
60
60
60
60
60
-
60
16
10
8
8
8
9
6
8
9
-
9
3
1
1
1
2
1
1
1
1
-
1
1
0
0
0
0
0
0
0
0
-
0
0
0
0
0
0
0
0
0
0
-
0
2
0
1
4
3
4
0
2
0
-
16
  B.  BY GROWING SEASON (May through October).
       %DaU  % Valid
Year    Capt    Days   5
  Peroentiles and Arithmetic Mean (ppb)
10    25    50   Me»n±*td  75     90
95
SOS3 SOS*     % noun 2 x (ppb)   Days £ x
(ppm hr)    60    80    100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Yean
98
99
99
98
98
98
92
90
94
-
96
98
99
99
99
98
99
93
94
99
-
98
0
10
0
10
0
0
10
0
10
-
0
10
10
10
10
10
10
10
10
10
-
10
20
20
20
20
10
20
20
20
20
-
20
30
30
30
30
30
30
30
30
30
-
30
343*21
3Z8*19
30.5*19
333*20
31.9*19
31.5*18
29.7*17
32.7*19
333*18
-
323*19
50
SO
40
50
40
40
40
50
50
-
40
60
60
50
60
60
60
SO
60
60
-
60
70
60
60
60
60
60
60
60
60
-
60
47
33
29
38
32
30
17
31
31
-
-
10
6
4
10
8
6
3
S
5
-
-
16
12
10
13
11
10
6
12
12
-
11
2
1
1
2
2
1
1
1
1
•
2
1
0
0
1
1
0
0
0
0
•
0
0
0
0
0
0
0
.0
0
0
-
0
2
0
1
4
1
3
0
2
0
-
13
  C  BY MONTH5.

       %Data  % Valid
Month    Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    SO   Mean*ttd  75     90
      S06 SOS*      % noun * x (ppb)   Days t x
 95   (ppmhr)    60   80   100   120  120 ppb
Jan
Fcb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
97
95
98
98
97
95
97
97
95
96
92
96
97
96
99
99
99
97
99
99
96
96
93
98
10
10
10
10
10
10
0
0
0
10
10
10
10
10
20
20
10
10
10
0
10
10
10
10
20
20
20
30
20
20
10
10
20
20
20
10
20
30
30
40
40
30
30
30
30
30
30
20
253*13
30.9*16
343*15
39.0*17
37.6*18
333*18
28.9*18
264*17
31.6*20
35.0*20
28.6*16
23.9*13
30
40
40
SO
SO
SO
40
40
40
SO
40
30
40
SO
SO
60
60
SO
SO
SO
60
60
SO
40
SO
60
60
70
70
60
60
SO
60
70
60
40
2
4
4
8
8
S
4
3
6
9
3
1
1
1
1
2
1
1
1
1
2
2
1
1
2
7
7
15
16
10
8
S
12
17
6
2
0
1
2
2
1
1
1
0
2
3
1
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
0
1
1
0
4
7
1
0
1.  % Data Capture - * valid noun / (total « noun in avenging period) • 100.  Av. period BY YEAR » 8760 hn; BY G£. - 4416 hrs.
2.  % Valid Days - * days with 75 % of noun between 09KK) and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index:  S06 - X [OjJ/1000, where [Oj] is hourly ozone concentration* t 60 ppb (Lee et aL 1988).
4.  Cumulative Index:  SOS - I (OjJAOOO, where [Ojj is hourly ozone concentrations * 80 ppb (Lee et aL 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of S06(08) - S06(08) • (* noun in that month) / (* valid noun).

-------
SANTA BARBARA
       CALIFORNIA
            BIOGRAPHIC INFORMATION
           Latitude
           Longitude
           Elevation (m)
           Basin Height (m) -
           Land use
           City Population
           Basin Population  -
           Start Summary
           End Summary
           Source of Data
 34.47° N
120.03° W
25
0
Remote
74,414
11,201,922
January, 1980
December, 1988
AIRS (06-083-0008)

-------
          SANTA BARBARA

DOMINANT DIURNAL PATTERNS IN HOURLY
  OZONE CONCENTRATIONS (MAY - OCT)
IOU
90
c
o
i
o
•0 (
"5
no
i T 1 1 1 1 T i M-H-H-M
•1 1 1 H ]•} 1-n ' * j ' t1
3 6 12
CO
•o
c
4—>
0)
§ 180
1 90
c
.0
1 °
S c
C4
,^+Hi
hHH^
) 6 12
o
c
1 18°
p
£ 9°
{3
V
*CH A
IOU
90
-HfH+l
0
L^T
^H^Wf^
18 23 0 6 12 18 23


180
90
%!
%H 0
B3

KW+rH^1 HH44+I
18 23 0 6 12 18 23

01

U4-Uj-kn - n-k-u
         0    6    12   18   23
             Hour of Day

-------
                                          Santa Barbara
              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.

         % Days
  Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C.1)2
A3  A4   AS  A6  Bl  B2  B3   B4   B5   Cl  C2  C3  C4   CS  C6  D4   E5
1980
1981
1982
1983
1984
1985
1986
1987
1988
1QRO
17O7
All Years
B. BY
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
7
6
6
5
8
5
7
8
6

6
GROWING
% Days
Unclassified*
7
3
5
5
4
6
3
9
4
-
5
14
14
15
21
15
14
13
15
13

15
9
1
2
2
5
4
1
6
3

3
SEASON
A3
7
11
9
9
8
8
5
4
9
-
8
3
0
1
0
1
1
1
1
2

1
(May
0
0
0
0
0
0
0
0
0

0
0 6
2 11
2 24
1 21
2 17
0 20
0 18
0 24
1 20

1 18
10
12
12
12
14
12
16
9
15

12
13
11
5
7
9
9
9
10
10

9
7
4
3
2
3
4
2
4
3

4
1
1
0
2
1
1
0
0
1

1
7 18
10 24
9 22
6 18
8 16
10 18
7 27
7 20
8 21

8 21
9
9
5
7
8
6
4
4
3

6
0
0
1
1
1
0
0
0
0

0
0
0
0
0
0
0
0
0
0

0
1 0
1 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0

0 0
through October).
Percent occurrence
A4 A5 A6
4
1
3
3
5
4
1
11
5
-
4
2
0
1
0
1
0
0
2
4
-
1
i
0
0
0
0
0
0
0
0
-
0
of diurnal
Bl B2
1 4
0 5
2 8
0 4
3 5
1 13
0 8
0 9
0 9
-
1 7
ozone
B3
13
11
17
18
16
14
19
9
19
-
15
patterns as
B4 65
10
14
8
11
9
11
9
14
8
-
10
7
5
3
4
5
6
1
4
5
-
5
defined
Cl
0
0
0
1
0
0
0
0
0
-
0
by Behm
C2 C3
5 32
1 38
5 36
2 33
5 28
5 29
1 48
3 37
1 34
-
3 35
etal
C4
13
14
8
13
14
10
7
6
6
-
10
(1990)
CS
1
0
1
1
1
0
0
1
0
-
0
(Figure
C6
0
0
0
0
0
0
0
0
0
-
0
4C1)2
D4 E5
1 0
1 0
0 0
0 0
0 0
1 0
0 0
0 0
0 0
-
0 0
C  BY MONTH (composited over years).
         % Days
 Month   Unclassified1
   Percent occurrence of diurnal ozone patterns as defined by Bfihtn et al (1990) (Figure 4C.1)*
A3 A4   A5   A6   Bl  B2   B3  B4   B5   Cl   C2  C3   C4  CS  C6  D4   E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
7
7
8
8
4
4
6
5
5
6
8
7
% days with
18
29
34
21
9
8
4
5
7
13
21
14
unidentified
Pattern identifier relates
1
3
5
»«
8
5
2
0
3
5
1
0
diurnal
to degr
004
200
000
100
300
000
000
002
0 0 1
201
2 0 1
003
44 4
28 5
15 16
2 20
4 19
5 20
9 10
4 10
10 15
10 18
35 8
51 2
202
7 3 1
13 3 0
20 7 0
17 6 0
12 6 0
740
530
850
13 4 0
5 1 1
124
21 4 0
15 7 0
642
0 11 8
0 16 17
3 29 11
4 47 11
3 60 8
4 36 8
5 19 8
17 6 1
22 1 0
0
0
1
1
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
patterns in hourly ozone concentration (see Bfthm et at 1990).
ee of diurnal variation in ho
urty ozone concentrations (A curves
• least
variation; E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by Behm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the turns of percentages do not always equal 100.

-------
                                             Santa Barbara County

                                              BASIC STATISTICS
  A  BY YEAR.

         %Data % Valid
Year      Capt'   Days2   5
    Percentiles aod Arithmetic Mean (ppb)
 10     25   50  Mean±std    75     90
             % hour* £ x (ppb)       Days i x
   95     60     80     100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
AU Yean
99
99
92
93
98
98
99
87
95
-
96
100
99
93
93
99
99
100
91
99
-
97
0
0
0
0
0
0
0
0
0
-
0
10
0
0
10
10
10
10
0
0
-
0
10
10
10
10
10
10
10
10
10
-
10
30
30
30
30
30
30
30
30
30
-
30
28.9*21
27.4±21
27.1*20
2&&tl9
27.1*19
2&5±20
27.5*19
27.5*19
27.6*19
•
27.8*20
40
40
40
40
40
40
40
40
40
-
40
60
60
50
50
50
50
50
50
50
-
50
70
70
60
60
60
60
60
60
60
-
60
11
11
9
9
7
9
8
7
9
•
9
3
2
1
2
1
2
2
2
1
-
2
1
0
0
1
0
0
0
0
0
•
0
0
0
0
0
0
0
0
0
0
-
0
4
4
3
7
6
7
1
4
2
*
38
  B.  BY GROWING SEASON (May through October).
       %Data  % Valid
Year    Capt    Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50  Meaiustd  75     90
     S063 SOS4     % houn *x (ppb)   Days £ x
95   (ppmhr)    60    80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Yean
99
99
98
99
99
99
99
81
95
-
96
100
99
98
99
99
99
100
84
99
•
98
0
0
0
0
10
0
10
0
10
-
0
0
10
10
10
10
10
10
10
10
-
10
10
20
10
20
10
20
20
10
20
-
20
30
30
30
30
30
30
30
30
30
-
30
31.2*22
3Z5*22
30.5*20
3Z8*21
30.7*20
313*21
30.9*19
31.4*20
323*19
-
31.5*20
50
50
40
50
40
40
40
50
50
-
40
60
60
60
60
60
60
60
60
60
-
60
70
70
60
70
60
70
60
70
60
-
70
40
46
36
47
32
37
31
28
33
-
-
12
13
7
13
8
10
7
7
6
-
-
13
15
12
16
10
12
11
11
12
-
13
3
3
2
3
2
2
.2
2
1
-
2
1
1
0
1
1
1
0
0
0
-
1
0
0
0
0
0
0
0
0
0
-
0
2
3
3
6
5
3
0
1
0
•
23
  C  BY MONTH5.

       %Data  % Valid
Month   Capt   Days   5
  Percenliles and Arithmetic Mean (ppb)
10    25    50   Meaiustd  75      90
      S06 SOS6      % houn i x (ppb)   Days t. x
 95   (ppm hr)    60   80   100   120   120 ppb
Jan
Fcb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
92
97
97
97
98
98
98
89
98
97
95
91
93
98
99
99
100
100
100
90
100
97
97
92
0
0
10
10
10
10
0
0
0
0
0
0
0
0
10
10
10
10
10
10
10
0
0
0
10
10
20
20
20
20
10
10
10
10
10
0
10
20
30
40
40
30
30
30
30
30
20
10
17.3*15
23.1*17
29.6*17
35.7*19
37.2*18
32.7*19
293*20
28.7*20
30.8*22
30.0*22
21.7*19
16.3*15
30
30
40
50
50
50
40
40
40
50
30
30
40
40
50
60
60
60
60
60
60
60
40
40
40
50
60
70
70
60
70
60
70
70
50
40
1
2
4
7
8
6
6
6
7
7
3
1
1
1
1
2
2
2
2
2
3
2
1
1
2
4
6
13
IS
12
11
10
12
14
5
1
0
1
1
3
2
2
2
2
3
3
1
0
0
0
0
1
0
0
0
0
1
1
0
i)
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
10
1
2
2
1
12
5
4
0
1.  % Data Capture - * valid noun / (total * houn in averaging period) • 100.  Av. period BY YEAR - 8760 hn; BY G.S. - 4416 hn.
2.  % Valid Days - * days with 75 % of houn between 0*00 and 21:00 / (total # days) • 100 (Federal Register 1979).
3.  Cumulative Index:  S06 - r [OjJ/1000, where [Oj] is hourly ozone concentrations i 60 ppb (Lee et aL 1988).
4.  Cumulative Index:  SOS - I (OjJ/1000, where [Oj] is hourly ozone concentrations it 60 ppb (Lee et aL 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) - 506(08) • (# houn in that month) / (# valid houn).

-------
SANTA BARBARA COUNTY
       CALIFORNIA
                 BIOGRAPHIC INFORMATION
                Latitude
                Longitude
                Elevation (m)
                Basin Height (m) -
                Landuse
                City Population
                Basin Population -
                Start Summary
                End Summary
                Source of Data
 34.45° N
119.79° W
12
0
Suburban - Residential
Not In A City
283,273
January, 1980
December,  1988
AIRS (06-083-2002)

-------
                 SANTA BARBARA COUNTY



          DOMINANT DIURNAL PATTERNS IN HOURLY

             OZONE CONCENTRATIONS (MAY - OCT)
|

CO
CO
•o
c

4-1
oo


O
C

a
o
c

s
O
o
E


I
180
       90
      180
      90
      180
90
                 B2
        0    6    12   18  23
tlfllltl.
-1 1 1 H+rr
no
-M-I-H-H4-U i t i i i

        0    6   12   18  23
                 B3
        0    6   12   18   23
                                180
                                 90
                                  QlI I I 11 H
                                180
                                 90
                          180
                                 90
                                           C2
                                  0    6    12   18   23
                                     C4
                                  0    6    12   18   23
                                  0    6    12    18   23
                         Hour of Day

-------
                                       Santa Barbara County

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR
          % Days
  Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bfihm et al (1990) (Figure 4C1)2
A3  A4   AS   A6  Bl  B2   B3  B4   BS  Cl  C2  C3  C4  CS   C6  D4   ES
1980
1981
1982
1983
1984
1985
1986
1987
1988
lOftO
X7O7
All Years
7
5
5
5
5
6
S
5
5

5
10
11
10
13
10
14
13
11
10

11
5
3
1
2
1
3
3
5
3

3
1
0
0
0
0
1
0
0
1

1
0
0
0
0
0
0
0
0
0

0
3
4
4
5
5
6
3
6
4

4
11
8
11
16
15
11
12
11
14

12
8
7
13
11
8
9
10
6
11

9
6
5
3
7
6
4
4
7
6

5
0
3
2
2
1
3
1
2
3

2
9
11
4
4
5
5
6
6
8

7
18
17
18
11
19
13
17
19
15

16
20
18
26
17
21
23
20
20
20

21
7
9
6
9
7
7
8
5
3

7
0
0
0
0
0
0
0
0
0

0
0
0
0
0
0
0
0
0
0

0
3
2
1
3
2
2
1
2
1

2
0
0
0
0
0
0
0
0
0

0
B.  BY GROWING SEASON (May through October).

         % Days          Percent occurrence of diurnal ozone patterns as defined by Bshm et al (1990) (Figure 4C.1)2
 Year   Unclassified7    A3  A4  AS   A6  Bl  B2   B3   B4   B5   Cl  C2  C3   C4  CS  C6  D4   ES
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
8
6
5
4
5
7
5
4
5
-
5
7
13
11
9
8
10
14
7
9
-
10
6
4
2
2
1
4
3
10
6
-
4
1
1
0
0
0
1
0
1
3
-
1
1
0
0
0
0
0
0
0
0
-
0
1
1
1
0
2
1
0
3
0
•
1
9
4
6
7
11
10
7
6
14
-
8
8
11
17
16
12
12
13
6
11
-
12
7
9
4
9
8
5
7
10
8
-
7
0
5
2
4
2
4
1
4
4
-
3
2
1
2
1
0
1
0
2
1
-
1
13
8
8
6
10
4
9
10
10
-
8
33
28
35
24
33
35
33
35
30
-
32
9
13
9
16
11
12
10
4
3
-
10
0
0
1
0
0
1
1
1
0
-
0
0
0
0
0
0
0
0
0
0
-
0
4
2
2
5
2
1
1
1
1
-
2
1
1
0
0
0
1
0
0
0
-
0
C  BY MONTH (composited over years).
         %Day$
 Month   Unclassified'
   Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure
A3 A4  AS   A6   Bl  B2  B3   B4   BS   Cl   C2  C3   C4   CS   C6  D4   E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
7
S
4
4
7
6
4
6
4
6
4
6
6
10
24
21
12
10
8
10
9
11
8
8
% days with unidentified
Pattern identifier
relates
0
0
2
6
11
3
2
0
3
6
2
0
diurnal
to degr
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
1 0
2 0
1 0
0 0
patterns in
18 22 1
3 21 3
.1 17 10
0 4 18
0 4 17
0 8 16
2 10 10
0 10 9
1 11 12
369
8 17 1
16 17 0
0 1 22
1 1 6
410
12 2 0
16 6 0
11 3 0
440
3 2 1
4 1 2
503
1 0 16
0 0 30
27 3 0
42 7 3
13 20 8
2 18 11
1 15 IS
3 35 11
10 34 IS
S 49 7
9 33 7
23 25 3
38 6 1
27 2 0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0 .
0
0
0
1
1
S
2
0
2
2
S
2
2
0
0
0
0
0
0
1
0
0
0
0
0
0
hourly ozone concentration (see Behm et al. 1990).
ee of diurnal variation in ho
urly ozone concentrations (A curves
. least
variation; E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by Behm et al (1990) and as
      illustrated in Figure 4C1.  Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                                    Santa Monica Mtns Nat'l Recr. Area
                                              BASIC STATISTICS
  A.  BY YEAR.

        %Data % Valid
Year     Capt*   Days*    5
    Peroentites »nd Arithmetic Mean (ppb)
 10     25    50 Mean*std    75     90
   95
    % boun fc x (ppb)      Days fc x
60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Yean
-
.
30
69
.
64
83
24
54
-
.
30
68
.
66
87
25
55
•
.
0
10
.
0
0
0
0
*
.
0
10
.
1
0
0
1
-
.
10
20
.
8
6
4
10
•
.
20
30
-
26
23
16
25
•
.
29.1*32
40.5*32
-
33.7*32
29.8*30
20.6*20
32,6*31
-
.
40
50
.
51
43
31
47
•
.
60
80
-
78
70
47
71
"
-
90
100
-
97
89
59
92
*
.
14
23
-
20
15
5
17
-
-
7
11
-
10
7
2
8
' - ;
-
4
6
-
5
3
1
4
*
-
3
4
-
2
2
0
2
*
-
19
59
-
43
44
2
167
  B.  BY GROWING SEASON (May through October).
       %Daia % Valid
Year    Capt   Days    5
  Perceniiles and Arithmetic Mean (ppb)
10    25    50  Meaiustd  75     90
     S06? SOS4     % houn i x (ppb)   Days * x
95   (ppm hr)    60   80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
™
.
34
79
.
86
76
1
All Years 55
C

Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
"
.
34
77
.
89
78
0
56
"
.
0
10
.
0
0
0
0
-
..
10
10
„
0
0
2
2
-
.
10
20
.
9
7
4
10
.
.
30 363*37 50
40 473*36 60
.
30 37.4*34 58
28 35.6*34 54
18 26.8*28 41
30 39.6*35 59
-
.
80
100
.
84
82
58
86
-
.
120
120
.
102
102
83
110
-
.
29
98
.
79
63
1
-
-
.
20
67
.
47
39
1
-
-
-
21
31
.
24
21
11
25
•
.
11
17
.
12
11
6
13
m
.
1
10
.
6
5
3
7
-
-
5
6
.
2
2
0
4 .
•
-
17
51
.
36
31
0
135
BY MONTH 5.
% Data
Capt
81
95
71
87
64
66
54
64
93
74
73
74
% Valid
Days
85
99
74
91
65
66
55
65
94
73
74
76

5
0
0
0
1
1
0
0
0
0
0
0
0

10
0
1
0
4
5
4
0
3
2
0
1
0
Percentiles
25
3
10
10
16
20
19
10
10
10
10
8
4
and Arithmetic Mean
SO Mean*std 75
14 163*15 26
20 253*22 38
28 303*25 44
35 40.4*33 59
40 41.6*31 60
37 42.1*33 60
29 35.9*32 56
30 4Z1±40 65
30 40.4*40 57
30 35.2*31 SO
20 22.9*20 32
16 17.4*14 29
(PPb)
90
36
54
64
82
81
83
82
98
98
74
50
37

95
40
70
76
103
104
101
98
120
130
93
60
40
S06
S08*
(ppm hr)
1
5
8
16
16
17
15
21
18
13
4
1
1
2
4
9
9
10
9
15
13
8
1
1
91
60
1
9
13
25
26
27
23
29
24
20
6
1
j houn
80
0
3
4
11
11
13
11
18
15
9
1
0
ix
(PPb)
100 120
0
1
2
6
6
6
5
10
10
5
1
0
0
0
1
. 3
3
3
1
5
7
2
0
0
Days t\
120 ppb
0
4
4
22
18
17
7
32
46
IS
2
0
1.  % Data Capture - * valid boun / (total * houn in avenging period) • 100.  Av. period BY YEAR - 8760 hn; BY GS. - 4416 hn.
2.  % Valid Days - 0 days with 75 % of houn between 09*0 and 21:00 / (total 0 days) • 100 (Federal Register 1979).
3.  Cumulative Index: S06 - I [OjJ/1000, where [Oj] is hourly ozone concentrations t. 60 ppb (Lee et at 1988).
4.  Cumulative Index: SOS - t [OjJ/1000, where [Oj] is hourly ozone concentrations 2 80 ppb (Lee et aL 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) - $06(08) • (* houn in that month) / (* valid boun).

-------
   SANTA MONICA MTNS
NAT'L RECREATIONAL AREA
      CALIFORNIA
                 BIOGRAPHIC INFORMATION
                Latitude
                Longitude
                Elevation (m)
                Basin Height (m) -
                Landuse
                City Population
                Basin Population -
                Start Summary
                End Summary
                Source of Data
 34.11° N
118.41° W
191
0
Suburban - Residential
Not In A City
11,201,922
August, 1984
July, 1989
National Park Service

-------
       SANTA MONICA MTNS NAPL RECREATIONAL AREA


            DOMINANT DIURNAL PATTERNS IN HOURLY

              OZONE CONCENTRATIONS (MAY - OCT)
  c
 .o
 4-1
  CO

 •§
 T3
 •o
 C
 03
 O
 C
 .0
 '4—1

 2
 4-1

 
-------
                          Santa Monica Mtns Nat'l Recreational Area
              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.

          %Days
  Year   Unclassified*
   Percent occurrence of diurnal ozone patterns as defined by Bfibm et al (1990) (Figure 4C.1)2
A3  A4  AS  A6   Bl   B2  B3   B4  B5   Cl  C2  C3  C4   C5  C6  D4  ES
lOftfl
IQfll
10ft 9
lOftl
1984
1985
1987
1988
1989
All Years
B. BY

Year
1QOA
1Oft1
1OA7
1984
1985
1987
1988
1989
All Years




4
3
3
2
13
4
GROWING
% Days
Unclassified7


-
2
4
4
2
-
3




6 0
14 4
4 2
S 1
2 0
7 2
SEASON




0
1
1
0
0
1
(May




0
0
0
0
0
0




7 7
1 5
4 8
6 9
14 20
5 8




8
10
7
6
5
7




0 1
5 13
3 10
2 5
0 0
2 8




12
0
7
6
8
S




16 16
7 6
6 11
12 17
27 14
11 12




11
8
10
11
0
9




1
3
3
1
2
2




0
0
0
0
0
0




9 8
14 7
23 2
17 3
8 0
16 4
through October).
Percent occurrence
A3 A4




S 0
8 S
2 2
3 1
-
5 2
AS




0
2
1
0
-
1
A6




0
0
0
0
-
0
of diurnal
Bl B2




2 2
0 1
1 5
0 3
-
0 3
ozone
B3




12
11
8
5
-
9
patterns as defined
B4 BS




0 2
5 18
3 12
3 5
-
3 11
Cl




0
0
3
0
-
1
by Behm
C2 C3




12 22
1 S
3 11
7 23
-
5 14
etal
C4




19
10
13
18
-
14
(1990)
CS




0
5
4
0
-
3
(Figure
C6




0
1
0
0
-
0
4C.1)2
D4 ES




12 14
18 11
30 2
26 5
-
23 7
C  BY MONTH (composited over years).

         % Days          Percent occurrence of diurnal ozone patterns as defined by Bohm et al (1990) (Figure 4C.1)2
 Month   Unclassified'    A3  A4   AS  A6   Bl  B2  B3  B4   BS   Cl   C2  C3  C4  CS   C6  D4  ES
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Scp
Oct
Nov
Dec
1.
Z
6
10
6
1
6
3
0
3
4
1
4
3
3 0
14 0
11 0
2 6
3 8
4 4
2 0
0 2
3 0
14 1
14 1
14 0
% day* with unidentified diurnal
Pattern identifier
relates to degr
0 0 19
009
200
000
200
100
000
200
1 0 1
001
007
0 0 22
29 0
7 7
4 17
3 12
2 8
4 12
2 13
3 3
3 7
1 10
19 3
19 1
0 0
0 S
2 4
8 15
7 20
6 16
4 9
3 11
0 4
2 9
0 0
0 0
patterns in hourly ozone concentration
ee of diurnal variation in hoi
irty ozone
14
2
4
0
0
0
0
0
0
5
11
27
30 5 0
28 14 2
13 19 6
0 9 12
0 8 12
497
5 20 22
2 12 20
6 IS 16
9 16 9
25 14 1
14 3 0
0
2
0
8
S
6
0
3
2
0
1
0
0
0
0
0
0
0
0
2
0
0,
0
0
0
9
17
23
22
19
20
30
25
19
3
0
0
2
0
3
2
6
4
9
15
4
0
0
(see Bfihm et aL 1990).
concentrations (A curves
• least
variation;
E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by Bahm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                                                   Scotts Valley

                                               BASIC STATISTICS
  A.  BY YEAR.

         %Data  % Valid
Year      Capt'   Day*2    5
    Percemiles and Arithmetic Mean (ppb)
 10     25    SO  Mean*std    75     90
             % houn 2 x (ppb)      Days' 2 x
   95     60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
48
68
74
.
-
-
.
-
.
-
70
47
88
74
.
.
-
-
-
.
-
70
0
0
0
.
.
-
-
-
.
-
0
0
0
0
-
.
-
.
-
.
-
0
0
10
10
.
-
-
.
-
.
•
10
10
20
20
-
-
-
-
-
.
-
20
18.0*18
20.9*17
21.8*17
-
-
-
-
-
-
-
20.5*17
30
30
30
.
-
-
-
-
-
-
30
40
40
40
.
-
-
-
-
-
-
40
50
SO
SO
-
-
-
-
-
.
-
SO
4
3
3
-
-
-
-
-
. -
-
3
1
1
0
-
-
-
-
-
-
-
1
0,
0
0
.
-
-
•
-
»
-
0
0
0
0
.
-
-
-
-
.
-
0
0
0
0
.
-
-
.
-
-
-
0
  B.  BY GROWING SEASON (May through October).
       %DaU>  % Valid
Year     Capt    Days    5
  Penxntiles and Arithmetic Mean (ppb)
10    25    SO  Mearustd  75     90
     S06*  SOS4     % hours t x (ppb)   Days i x
95   (ppra hr)     60   80   100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
62
92
83
.
.
.
.
.
.
-
79
61
92
83
.
.
.
.
'
.
-
78
0
0
0
.
.
.
.
.
.
-
0
0
0
0
.
-
.
-
.
-
-
0
10
10
10
.
-
.
.
-
.
-
10
20
20
20
.
-
.
.
-
.
-
20
22J*18
2ZO±18
22.9*17
.
-
.
.
.
.
-
22.4*18
30
30
30
-
-
-
-
-
-
-
30
50
50
40
.
-
-
-
-
-
-
50
60
SO
SO
.
-
-
.
-
.
-
50
12
13
9
.
.
-
.
-
.
-
-
4
3
3
.
-
-
-
-
.
-
-
6
5
4
-
-
-
.
-
-
-
5
2
1
1
.
-
-
-

.
-
1
0
0
0
-
-
.
-
-
-
-
0
0
0
0
.
-
-

-
.
-
0
0
0
0
.
-
-
-
-
-
-
0
  C  BY MONTH5.

       %Data  % Valid
Month    Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    SO   Mean*std   75      90
      S06  SOS*     % noun t x (ppb)   Days * x
 95   (ppm hr)    60    80   100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
65
84
100
100
100
100
84
97
9S
97
100
100
65
84
100
100
100
100
82
96
94
98
100
100
0
0
0
0
0
0
0
0
0
0
0
0
0
0
10
10
10
10
0
0
0
0
0
0
0
10
10
10
20
10
10
10
10
0
0
0
10
10
20
30
30
30
20
20
20
10
10
10
115*12
17.1*14
24.0*14
29.4*18
29.4*16
26.5*17
20.5*17
20.1*18
19.9*17
20.4*20
133*13
10.4*11
20
30
40
40
40
40
30
30
30
30
20
20
30
40
40
SO
SO
40
40
40
40
SO
30
30
30
40
40
60
SO
60
SO
S5
SO
60
40
30
0
1
1
4
2
3
3
3
2
4
1
0
0
0
0
1
0
2
1
1
1
2
0
0
0
0
1
7
2
s
4
S
4
7
1
0
0
0
0
1
0
2
1
1
0
2
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
0
0
0
0
1.  % Data Capture - * valid hours / (total * boon in averaging period) * 100.  Av. period BY YEAR - 8760 hf»; BY GS. • 4416 hr*.
2.  % Valid Days - * days with 75 % of houn between 09:00 and 21KW / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index  S06 - I [OjJ/1000, where [Oj] is hourly ozone concentrations * 60 ppb (Lee et al. 1988).
4.  Cumulative Index:  SOS - Z [OjJ/1000, where [Ojj is hourly ozone concentrations i 80 ppb (Lee et al. 1988).
S.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of S06(08) - S06(08)  • (* houn in that month) / (* valid houn).

-------
SCOTTS VALLEY
       CALIFORNIA
            BIOGRAPHIC INFORMATION
           Latitude
           Longitude
           Elevation (m)
           Basin Height (m) -
           Landuse
           City Population
           Basin Population -
           Start Summary
           End Summary
           Source of Data
 37.05° N
122.03° W
171
26.8
Suburban - Mobile
6,891
503,590
July, 1980
September, 1982
AIRS (06-087-1002)

-------
DENVER
       COLORADO
        BIOGRAPHIC INFORMATION
      Latitude
      Longitude
      Elevation (m)
      Basin Height (m)
      Landuse
      City Population
      Basin Population
      Start Summary
      End Summary
      Source of Data
 39.75° N
104.99° W
1591
1591
City Center - Commercial
492,365
1,628,210
January,  1980
December, 1989
AIRS (08-031-0002)

-------
                                                       Denver
                                                BASIC STATISTICS
  A  BY YEAR.

         % Data  % Valid
 Year      Capt;   Days2    5
     Percentiles and Arithmetic Mean (ppb)
  10     25    50  Mean**td    75     90
             % hours i x (ppb)      Days i x
   95     60    80   . 100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Yeans
90
89
96
98
96
95
99
99
92
99
95
93
93
96
97
96
94
98
98
90
99
95
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
1
1
1
0
0
2
2
3
3
3
3
4
4
3
2
3
11
11
13
13
13
13
13
13
13
11
12
168*18
15.6*16
17.0*16
17.6*17
16.6*16
16.6±16
17.1*16
17.7*17
17.3*16
15.0*14
16.7*16
27
25
26
27
26
26
27
27
27
24
26
42
38
40
40
39
39
40
42
40
35
40
51
46
49
50
47
47
48
51
47
43
48
2
1
2
3
2
2
1
3
1
1
2
0
0
0
1
0
0
0
1
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
1
0
0
0
0
0
2
0
0
0
3
  B.  BY GROWING SEASON (May through October).
       % Data  % Valid
Year     Cap!    Days   5
  Percenliles and Arithmetic Mean (ppb)
10    25     50  Mearustd  75     90
     S063 SOS4     % hours i x (ppb)   Days 2 x
95   (ppm hr)    60    80   100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
92
87
96
97
97
95
99
99
97
99
96
96
91
96
97
97
95
97
99
96
98
96
0
0
0
0
1
0
1
1
0
0
0
1
1
2
1
2
2
2
2
1
1
2
6
6
6
7
2
7
7
7
6
6
7
19
19
18
20
18
19
19
19
19
19
19
23.0*20
21.1*17
21.7*18
23.2*19
21.2*17
21.9*17
21.4*17
23.0*19
21.4*17
20.5*16
21.9*18
36
33
32
34
32
33
32
34
33
31
33
50
45
48
50
45
46
46
50
46
42
47
58
52
57
60
54
54
53
60
53
49
55
13
7
13
18
10
10
8
17
8
5
-
4
2
3
5
2
2
1
5
1
0
-
4
2
4
6
3
3
2
5
3
2
3
1
0
1
1
0
0
0
1
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
2
  C  BY MONTH5.

       %Data  % Valid
Month    Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50   Mcan±std  75     90
      S06 S08*      % hours i x (ppb)   Days t x
 95    (ppm hr)     60   80    100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Men-
Dec
94
92
94
97
96
96
96
94
96
96
96
95
94
93
95
98
97
95
97
95
95
97
96
94
0
0
0
1
1
2
2
1
0
0
0
0
0
0
1
2
4
4
4
3
1
0
0
0
1
1
4
9
11
12
12
10
4
1
1
1
4
7
13
21
23
24
26
22
13
6
4
3
7.5*09
10.2*10
15.1*13
21.6*15
24.1*16
26.0*18
28.4*20
25.2*19
17.0*15
10.5*11
7.6*09
6.7*08
12
17
24
32
35
37
42
37
26
17
12
10
21
26
34
41
45
SO
56
51
39
27
21
19
25
30
38
46
51
57
64
60
47
33
26
23
0 (
0 (
1 (
1
1
3
4
3
1
1 <
0 (
1 <
> 0
) 0
) 0
1
2
4
8
6
2
) 0
) 0
) 0
0
0
0
0
0
1
1
1
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
1
0
0
1
1
0
0
0
0
1.  % Data Capture - * valid noun / (total # hours in averaging period) • 100.  Av. period BY YEAR - 8760 hrs; BY G.S. - 4416 hrs.
Z  % Valid Days - * days with 75 % of hours between 09:00 and 21:00 / (total * days) • 100 (Federal Register  1979).
3.  Cumulative Index:  S06 - I [OjJ/1000, where [OjJ is hourly ozone concentrations £ 60 ppb (Lee et al. 1988).
4.  Cumulative Index  SOS - I [OjJ/lOOO, where [Oj] is hourly ozone concentrations i 80 ppb (Lee et at 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) -  506(08) • (* hours in that month) / (# valid hours).

-------
                                             Denver
              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.
% Days
Year Unclassified7
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
4
5
3
6
7
6
7
3
4
6
Percent occurrence of diurnal ozone patterns as defined by Bfihm et at (1990) (Figure 4C.1)2
A3 A4 AS A6 Bl B2 B3 B4 B5 Cl C2 C3 C4 CS C6 D4 E5
1
1
2
0
1
2
2
1
1
1
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
34
35
36
30
38
39
33
35
34
45
10
14
14
15
15
IS
14
12
23
18
4
3
4
3
2
2
4
5
4
5
2
0
2
2
3
2
2
2
4
2
0
0
0
0
0
0
0
1
0
0
16
16
11
15
13
10
12
11
9
11
11
14
11
14
10
14
13
11
8
8
17
16
16
17
15
12
16
16
13
8
5
2
4
6
4
4
3
5
2
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
0
0
0
0
0
0
0
All Years
                  36  15
12  11   IS
B. BY GROWING SEASON (May through October).
         % Days
 Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bdhm et al (1990) (Figure 4C.1)*
A3  A4   AS  A6   Bl  B2  B3   B4  B5   Cl   C2  C3   C4   CS  O6  D4   ES
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
5
6
4
7
9
10
9
5
4
7
7
2
1
1
0
0
2
2
1
1
1
1
0
0
0
0
0
0
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
11
12
15
8
21
19
12
15
19
21
15
11
22
19
17
18
19
14
12
23
25
18
9
6
5
6
2
3
7
9
8
10
7
4
0
3
3
4
4
3
4
7
5
4
1
0
0
0
0
1
0
2
0
1
0
14
10
9
6
7
5
10
9
6
7
8
12
17
11
20
12
19
16
12
9
14
14
26
28
27
28
27
21
27
27
21
15
25
10
4
9
12
8
7
7
9
4
1
7
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
6
0
0
0
0
0
1
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
C BY MONTH (composited over years).
         % Days
 Month   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C1)2
 A3  A4  AS   A6   Bl  B2   B3  B4   B5   Cl   C2  C3  C4   CS   C6  D4   E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
I
3
5
8
7
9
6
4
8
5
2
2
% days with
0
0
3
5
2
2
1
0
1
0
1
0
unidentified
Pattern identifier relates
0
0
0
0
1
0
0
0
0
0
0
0
diurnal
to degr
0 0 78 8 0
0 0 57 8 0
0 0 33 17 1
0 0 10 35 3
0 0 10 30 8
0 0 4 22 11
0 0 1 11 13
0 0 S 22 7
0 0 20 18 2
0 0 51 6 0
0 0 75 2 0
0 0 83 4 0
0 0 13
0 0 29
0 0 19
1 0 4
601
8 1 1
7 1 0
301
0 0 16
0 0 29
0 0 20
0 0 12
1
5
22
20
9
9
9
16
30
14
2
0
patterns in hourly ozone concentration (see Benin et
ee of diurnal variation in hoi
0 0
1 0
4 0
21 1
29 5
34 10
41 IS
34 11
11 2
1 0
0 0
0 0
al. 1990).
irty ozone concentrations (A curves
0
0
0
0
0
0
0
0
0
0
0
0

- least
0
0
0
0
0
0
0
0
0
0
0'
0

0
0
0
0
0
0
1
0
0
0
0
0

0
0
0
0
0
0
0
0
0
0
0
0

variation; E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by Behm et al (1990) and as
      illustrated in Figure 4C1.  Note that due to numeric rounding, the sums of percentages do not always equal  100.

-------
              DENVER

DOMINANT DIURNAL PATTERNS IN HOURLY
  OZONE CONCENTRATIONS (MAY - OCT)
IOU
90
c
o
1 0
•8 (
Wl

3 6 12
"2
•o
c
•4-1
(A
8 180
o
+i
1 ^
c
o
+3 n
C3 U*
1 (
B1


i j 1 1 , , T t_Lj-W-H-H~i
"H-i i 1 1 1-rr-rr' ' r^*
) 6 12
0
C
d
1 180
O
1 9°
ffi
c
4s 0
IOU
90
iiiini o
V/£.
^^x^
18 23 0 6 12 18 23



180

90

1 1 1 1 1 1 1 n
B2


^WHtH^Wtt^WH
18 23 0 6 12 18 23

C3

i-^H ' irf-ki
1 1 T T , jJfi 'rt-ij_i
irTTT"' * TTl
          0   6   12   18   23
              Hour of Day

-------
  GREAT SAND DUNES
NATIONAL MONUMENT
       COLORADO
               BIOGRAPHIC INFORMATION
              Latitude
              Longitude
              Elevation (m)
              Basin Height (m) -
              Landuse
              City Population
              Basin Population -
              Start Summary
              End Summary
              Source of Data
 37.71° N
105.52° W
2487
2307.7
Rural - Desert
Not In A City
37,914
April, 1988
July, 1989
National Park Service

-------
                                      Great Sand  Dunes National Park
                                              BASIC STATISTICS
  A.  BY YEAR.

        %Data  % Valid
 Year     Capt7   Days2    5
                 Percentiles and Arithmetic Mean (ppb)
              10     25   50  Mean±std   75     90
                                                     % hours t x (ppb)       Days z x
                                           95     60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
-
.
72
30
51
-
.
76
32
54
-
.
25
28
26
-
.
28
30
29
-
.
32
34
33
-
.
38 38.0*08
38 37.5*06
38 37.9*08
-
.
44
42
43
™
.
49
45
48
-
.
52
47
51
-
.
0
0
0
-
.
0
0
0
m
.
0
0
0
-
.
0
0
0
•
.
0
0
0
  B.  BY GROWING SEASON (May through October).
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
% Data
Cap!
.
-
-
-
.
-
.
.
94
15
% Valid
Days
.
.
.
.
.
.
.
.
98
15
5
.
.
.
.
.
.
.
.
24
24
10
.
-
.
.
.
-
.
.
27
29
Percentiles
25
.
.
.
.
.
.
.
.
32
34
and
50
.
-
.
.
.
.
.
.
38
39
Arithmetic
Mean*std
.
-
-
.
.
-
.
.
38.5*09
37.8*07
Mean (ppb)
75 90
.
-
.
.
.
-
-
.
45 50
43 46
95
.
-
-
.
.
-
-
.
52
47
S063
(ppm
.
.
.
.
.
-
.
.
2
1
S08*
hr)
.
-
-
.
-
-
.
.
0
0
*
60
-
.
.
.
-
.
.
.
1
0
; hours
80
.
-
.
-
.
-
.

0
0
I x (ppb) Days
100 120 120
-
-
• .
.
.
-
.
.
0
0
.
.
.
.
.
.
.
.
0 0
0 0
fc x
ppb










All Years   54
56    24
27
33
39  38.4*09   44
                                                              49
52
  C  BY MONTH 5.
9
Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
6 Data
Capt
95
86
58
94
48
49
90
94
94
92
94
94
% Valid
Days 5
100
93
61
100
SO
50
92
100
100
90
100
100
30
30
27
32
31
25
25
21
25
22
27
26
Perceotiles and Arithmetic Mean (ppb)
10 25 50 Mean**td 75 90
32
32
30
35
34
28
28
24
28
24
29
28
34
35
32
39
38
34
34
31
34
28
32
30
36
40
38
43
45
40
39
37
40
31
35
33
36.0*03
39.7*05
37.9*07
43.1*06
44.1*08
393*06
38.7*08
36.2*09
39.6*08
31.8*06
34.6*04
33.1*04
38
44
42
48
50
45
44
42
46
36
37
36
40
46
47
52
54
50
48
46
50
40
39
38
95
41
47
49
53
56
52
51
49
52
42
40
40
S06 £08*
(ppm hr)
0
0
0
1
2
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
%
60
0
0
0
0
2
0
0
1
0
0
0
0
hours t. x (ppb) Days i x
80 100 120 120 ppb
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
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1.  % Data Capture - # valid hours / (total # hours in averaging period) • 100.  Av. period BY YEAR - 8760 hrs; BY G.S. - 4416 brs.
1  % Valid Days -# days with 75 % of hours between 09*0 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index: S06 - Z [OjJ/1000, where [Oj] is hourly ozone concentrations t 60 ppb (Lee et »L 1988).
4.  Cumulative Index: SOS - r [OjJ/IOOO, where (Ojj is hourly ozooe concentrations t 80 ppb (Lee et al. 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) - 506(08) • (# hours in that month) / (# valid hours).

-------
                                 Great Sand Dunes National Park
              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A  BY YEAR.

         %Days
 Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bdhm et al (1990) (Figure 4C.1)*
A3  A4   AS   A6  Bl  B2   B3   B4  B5   Cl   C2  C3   C4   CS  C6   D4   '
                                                                                               £S
IOfi/1

1OQ9
1QQ9

1OQC
1OQX
1Ofi7
1988
1989
All Years








4
1
4








64 16 000477100000000
945000200000000000
71 13 000366100000000
B.  BY GROWING SEASON (May through October).

          % Days          Percent occurrence of diurnal ozone pattens as defined by Bohm et at (1990) (Figure 4G1)2
 Year   Unclassified7    A3  A4  AS   A6  Bl   B2  B3   B4   BS  Cl   C2  C3  C4   CS   C6  D4   ES
loon
1QR1
1089
1Oft^
1984
IQft^
1986
10R7
1988 6
1989
All Years 6








54 17 0005 11 11 200000000
54 17 0005 11 11 200000000
C  BY MONTH (composited over years).
         % Days
 Month   Unclassified7
                         Percent occurrence of diurnal ozone patterns as defined by Bshm et al (1990) (Figure
                      A3  A4  AS   A6   Bl  B2  B3  B4   BS   Cl  C2  C3  C4  CS   C6  D4   ES
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
0 100 0
0 87 12
3 87 10
0 57 39
9 33 48
0 59 9
11 54 8
18 61 0
0 42 33
0 74 0
0 100 0
0 96 0
% days with unidentified diurnal
Pattern identifier relates to degr
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
patterns in
000
000
030
000
000
0 0 14
0 0 12
0 6 22
0 4 17
0 22 4
000
040
0 0
0 0
0 0
4 0
14 5
18 0
25 0
0 11
4 0
0 0
0 0
0 0
hourly ozone concentration (see
ee of diurnal variation in ho
urry ozone con
0
0
0
0
0
0
0
0
0
0
0
0
B&hm
central
0
0
0
0
0
0
0
0
0
0
0
0
et
tiot
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
0
0
0
0
0
0
0
0
0
0
0
0
o-
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
al. 1990).
is (Ac
urves
i - kasi
i variat
ion; I
1 curv
      greatest variation) and dairy mean (1 curves - lowest mean; 6 curves highest mean) as described by Bshm et al (1990) and as
      illustrated in Figure 4C1.  Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
 §
1
 03
•o

 C3
0)
c
o
+1
CO
u.
•4-1



§
C
c
s
O,
03


I
           GREAT SAND DUNES NATIONAL MONUMENT


            DOMINANT DIURNAL PATTERNS IN HOURLY
              OZONE CONCENTRATIONS (MAY - OCT)
                  180
                   90
180
                   90
180
                   90
          B3
                             12   18   23
A4
A3
  0    6   12    18   23
                    0    6   12    18   23
                          Hour of Day

-------
LARIMER COUNTY
       COLORADO
             BIOGRAPHIC INFORMATION
            Latitude
            Longitude
            Elevation (m)
            Basin Height (m)  -
            Landuse
            City Population
            Basin Population  -
            Start Summary
            End Summary
            Source of Data
 40.58° N
105.08° W
1522
1522
Suburban - Residential
Not In A City
337,729
December,  1980
December,  1989
AIRS (08-069-1004)

-------
                                                 Larimer County

                                               BASIC STATISTICS
  A.  BY YEAR.

         %Data % Valid
Year      Capt'   Days2   5
     Peroentiles and Arithmetic Mean (ppb)
 10     25    50  Meanictd   75     90
             % hours 2 z (ppb)      Days a x
   95     60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985 .
1986
1987
1988
1989
All Years
8
84
86
81
95
91
89
93
95
94
82
8
85
89
84
98
95
92
96
98
95
84
10
0
1
0
1
0
0
0
0
0
0
10
1
2
1
2
1
0
1
1
0
1
15
10
8
10
10
9
7
8
8
8
9
20
20
20
22
21
22
22
22
24
22
22
21.7±09
22.4*16
2ZO±16
233*17
23.0±16
23.1*17
22.4*17
233*18
24.4*18
23.9*19
23.1*17
25
35
34
34
34
35
34
35
36
37
35
35
45
44
45
45
45
46
48
49
50
46
40
50
49
54
53
51
52
55
56
58
54
0
2
1
3
2
2
2
3
4
4
3
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
0
0
1
0
0
2
0
0
1
4
  B.  BY GROWING SEASON (May through October).
       %Data  % Valid
Year    Capi    Days   5
  Peroentiles and Arithmetic Mean (ppb)
10    25    50  Mean*std  75     90
     506*  SOS*     % hours t. x (ppb)   Days t x
95   (ppm hr)    60   80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
.
73
87
86
95
93
90
95
95
99
90
.
75
91
88
98
97
92
100
98
99
93
.
5
1
2
3
0
0
0
1
1
1
.
6
4
6
6
3
3
2
3
4
4
.
12
13
15
6
12
13
12
13
16
14
.
25
25
28
27
25
26
26
29
29
27
.
273*17
25.9*16
29.1*18
283*17
263*18
26.6*17
27.4*19
293*19
30.5*19
27.9*18
.
40
38
40
41
40
39
41
43
44
40
.
50
47
53
52
50
51
54
55
57
52
.
55
53
61
59
56
56
60
62
64
59
.
9
6
16
13
10
8
15
20
23
-
.
2
1
2
1
1
0
1
3
3
-
.
4
2
6
4
3
3
5
7
8
5
.
0
0
0
0
0
0
0
1
I
0
.
0
0
0
0
0
0
0
0
0
0
.
0
0
0
0
0
0
0
0
0
0
,
0
0
1
0
0
0
0
0
1
2
  C  BY MONTH5.

       %Data % Valid
Month    Capt   Days   5
  Peroentiles and Arithmetic Mean (ppb)
10    25    50   Mean**td  75     90
      S06 SOS*      % hours z x (ppb)   Days t. x
 95   (ppm hr)    60   80    100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
90
93
84
82
83
90
92
91
94
88
91
95
93
95
87
84
91
92
95
94
97
90
94
97
0
0
0
3
8
7
6
4
0
0
0
0
0
1
2
8
12
12
10
7
2
0
0
0
3
6
10
18
21
21
20
16
8
3
1
2
12
18
23
30
33
33
33
29
17
13
9
12
14.6*13
1&2*13
22^*15
29.8*16
33.0*16
33£*17
34.0*19
30.1*18
20.5*16
153*14
12£*12
13.6*12
25
29
35
41
44
45
47
43
31
26
23
23
33
35
43
49
53
56
60
54
43
35
31
30
37
40
46
53
59
62
65
60
49
40
34
35
1
1
1
2
3
4
6
3
1
1
0 (
1 (
1 0
1 0
[ 1
1 2
4
7
10
6
1
I 0
» 0
9 0
0
0
0
0
0
0
1
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
2
0
0
1
0
1
0
0
0
1.  % Data Capture « # valid hours / (total * hours in averaging period) • 100.  Av. period BY YEAR - 8760 tin; BY GS. - 4416 hr*.
2.  % Valid Days - * days with 75 % of hours between 09:00 and 21:00 / (total # days) • 100 (Federal Register 1979).
3.  Cumulative Index: S06 - r (OjJAOOO, where [O3] is hourly ozone concentrations £ 60 ppb (Lee et al. 1988).
4.  Cumulative Index: SOS • X [OjJ/1000, where [Ojj is hourly ozone concentrations i 80 ppb (Lee et aL 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of S06(08) - S06(08) • (* hours in that month) / (# valid hours).

-------
                                         Larimer County

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.

         % Days
  Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C1)2
A3  A4  AS  A6  Bl  B2   B3  B4   B5   Cl   C2  C3   C4  CS   C6  D4   E5
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Yean
11
«
5
6
5
S
6
6
S
4
5
12
8
9
5
7
8
7
5
10
5
7
0
1
0
1
1
0
1
1
0
2
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
8
20
15
18
16
9
11
IS
11
17
15
44
13
18
13
15
14
14
19
16
15
15
4
7
9
9
8
8
11
10
11
10
9
0
6
3
8
6
7
S
S
7
8
6
0
0
0
1
0
0
0
2
1
2
1
8
7
12
12
12
11
16
9
13
13
12
16
14
15
11
10
19
13
16
11
9
13
8
19
16
14
17
17
16
12
11
13
15
0
5
2
8
6
5
6
6
9
5
6
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
0
0
0
0
0
0
0
0
0
0
B.  BY GROWING SEASON (May through October).

         % Days         Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure •
 Year   Unclassified7    A3  A4  AS   A6   Bl   B2  B3   B4   B5   Cl  C2  C3  C4   CS   C6  D4  E5
IQQn
iyou
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years

2
4
7
6
6
4
6
3
4
5

6
7
4
6
6
7
4
9
5
6

2
0
1
1
0
1
2
1
4
1

0
0
0
0
0
0
0
0
0
0

0
0
0
0
0
0
0
0
0
0

12
5
4
9
6
6
8
6
5
7

13
16
8
10
9
8
16
9
12
11

8
16
14
14
12
18
15
IS
16
14

11
4
14
10
12
8
10
12
15
11

0
1
2
1
0
0
4
2
4
2

2
5
6
2
6
10
3
6
5
5

12
13
10
8
12
10
17
11
7
11

23
28
22
28
28
21
12
12
17
21

9
5
15
11
10
11
10
17
9
11

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
0
0
0
0
0
0
C BY MONTH (composited over years).
         % Days
 Month   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure
A3 A4   AS   A6   Bl   B2  B3   B4   BS   a   C2  C3  C4   CS   C6  D4  E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
Z
7
8
6
6
S
6
4
S
4
S
5
6
% days with
4
7
14
19
14
10
S
5
2
2
3
5
unidentified
Pattern identifier relates
0
0
0
3
3
2
2
0
0
0
0
0
diurnal
to degr
0 0 31 18 2
0 0 12 22 1
0 0 9 25 4
0 0 1 15 17
0 0 1 9 21
0 0 2 9 27
0 0 2 6 17
0 0 0 8 17
0 0 14 19 5
0 0 21 18 0
0 0 38 21 0
0 0 38 18 1
1 0 30
0 0 IS
105
7 1 1
16 3 0
18 1 0
20 3 0
920
106
0 0 25
0 0 25
0 0 31
14
36
21
S
2
1
2
4
29
28
11
6
patterns in hourly ozone concentration (see Benm el
ee of diurnal variation in ho
1 0
S 0
21 0
29 S
19 12
IS 16
21 24
42 12
23 0
5 0
1 0
1 0
at 1990).
urry ozone concentrations (A curves
0
0
0
0
0
0
0
0
0
0
0
0

- least
0
0
0
0
0
0
0
0
0.
0 .
0'
0

variat
0
0
0
0
0
0
0
0
0
0
0
0

ion;
0
0
0
0
0
0
0
0
0
0
0
0

E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by Behm et al (1990) and as
      illustrated in Figure 4C1.  Note that due to numeric rounding, the turns of percentages do not always equal 100.

-------
                      LARIMER COUNTY




          DOMINANT DIURNAL PATTERNS IN HOURLY

             OZONE CONCENTRATIONS (MAY - OCT)
 c
 o
• *^

 03


f
•o
03
•o
C
03
(U
C
o
.0
ex
_o

"03

-------
ROCKY MOUNTAIN
 NATIONAL PARK
       COLORADO
             BIOGRAPHIC INFORMATION
            Latitude
            Longitude
            Elevation (m)
            Basin Height (m)  -
            Landuse
            City Population
            Basin Population  -
            Start Summary
            End Summary
            Source of Data
 40.28° N
105.55° W
2743
1538.5
Rural - Forest
Not In A City
337,729
August, 1987
July, 1989
National Park Service

-------
                                       Rocky Mountain  National Park

                                               BASIC STATISTICS
  A.  BY YEAR.

         %Data % Valid
 Year      Capt'   Days2   5
    Peroentiles and Arithmetic Mean (ppb)
 10     25    50  Meaiustd   75     90
             % noun * x (ppb)      Days 2 x
   95     60     80    100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
-
.
47
77
24
49
-
.
49
80
22
51
-
.
30
25
18
24
-
.
34
31
22
27
-
.
40
39
26
35
-
.
46
46
29
44
-
.
45.8*10
452*11
29.7*07
42.9*12
-
.
52
51
33
50
-
.
57
58
39
57
-
.
62
62
43
61
-
.
7
7
0
6
-
.
1
1
0
0
- :
.
0
0
0
0
-
.
0
0
0
0
-
.
0
0
0
0
  B.  BY GROWING SEASON (May through October).
       %Dau  % Valid
Year    dipt    Days   5
  Peroentiles and Arithmetic Mean (ppb)
10    25    50  Mean*std  75     90
     SO63  SOS4     % hours £ x (ppb)  Days t. x
95   (pptn hr)    60    80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
•
-
62
81
4
All Years 49
c

Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
-
.
65
85
0
50
-
-
29
24
18
25
-
-
33
29
22
31
-
-
40
37
29
38
-
-
48 47.4*11
45 45.3*13
40 38.1*12
46 46.0*12
-
-
54
54
45
54
-
.
60
60
51
60
-
-
64
65
56
65
-
-
20 2
26 4
1 0
-
-
.
11
11
5
10
-
.
1
1
0
1
-
.
0
0
0
0
-
.
0
0
0
0
-
.
0
0
0
0
BY MONTH 5.
% Data
Capt
85
95
90
64
41
38
S3
95
95
95
95
52
% Valid
Days
84
100
92
67
37
37
SI
100
100
100
100
52

5
24
22
20
42
30
26
30
26
23
23
29
22

10
25
24
25
46
35
31
34
32
31
28
32
25
Peroentiles
25
27
29
32
SO
42
39
40
41
39
34
36
37
and Arithmetic
Mean (p
SO Mean*std 75
32 36.7*11
38 37.5*10
40 39.7*11
54 533*06
51 49.9*11
47 46.7*13
49 48.9*12
49 48.6*13
46 45.4*12
40 39.7*10
40 39.9*06
43 402*08
47
47
49
58
58
54
56
56
53
47
45
46
pb)
90
49
49
S3
61
63
60
63
63
58
53
47
47

95
51
50
54
63
67
68
69
70
61
55
49
49
S06 SOS*
(ppm hr)
1 0
1 0
1 0
9 0
9 1
6 1
8 2
8 2
4 1
1 0
0 0
0 0
*
60
0
1
1
20
18
11
16
15
7
1
0
0
j hours
80
0
0
0
0
0
1
2
2
0
0
0
0
t x
(PPb)
100 120
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Days fcx
120 ppb
0
0
0
0 -
0
0
0
0
0
0
0
0
1.  % Data Capture - * valid noun / (total * noun in averaging period) • 100.  Av. period BY YEAR - 8760 hn; BY GS. - 4416 hrt.
2.  % Valid Days -# days with 75 % of hour* between 09:00 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index:  S06 - Z [OjJAOOO, where [Oj] is hourly ozone concentrations i 60 ppb (Lee « at 1988).
4.  Cumulative Indec  SOS - I (Ojl/1000, where [Oj] is hourly ozone concentrations 2 80 ppb (Lee et aL 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) - 506(08) • (* boon in that month) / (# valid noun).

-------
                                Rocky Mountain National Park
              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.
% Days
Year Unclassified7
1980
1981
1983
1984
1986
1987
1988
1989
All Years
5
2
0
3
Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C.1)2
A3 A4 A5 A6 Bl B2 B3 B4 B5 O C2 C3 C4 CS C6 D4 E5







25 54 30010 10 800000000
25 53 300426400000000
45 0000 55 00000000000
2846200 11 17500000000
B. BY GROWING SEASON (May through October).
         % Days
 Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bfihm et al (1990) (Figure
A3  A4  AS  A6   Bl  B2  B3   B4  B5   Cl   C2  C3   C4  C5   C6  D4  E5
1 0ft/1
1QR1
10ft?

1Qft4

IQftA
1987
1988
1989
All Years







7
4
5







14 54 40020 14 12 00000000
244451045 10 800100000
204840033 12 10 00000000
C BY MONTH (composited over years).
         %Days
 Month   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C.1)2
 A3  A4  A5   A6   Bl  B2   B3  B4   B5   Cl   C2  C3  C4   CS  C6 D4  E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
Z
0 20 45
2 24 48
0 41 37
0 0 87
6 6 59
11 12 41
2 2 50
5 10 48
6 22 59
4 47 36
2 68 24
0 37 50
% days with unidentified diurnal
Pattern identifier relates to degr
0 0
0 0
0 0
7 0
12 0
0 0
7 0
8 2
2 0
0 0
0 0
0 0
patterns in
0 35
0 26
0 20
0 0
0 0
0 0
0 0
0 2
0 2
0 9
0 4
0 12
hourly ozone
0
0
0
0
0
6
0
4
2
4
0
0
0
2
2
0
12
29
17
13
8
4
4
0
0 0
0 0
0 0
7 0
12 0
12 0
24 0
12 0
4 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
concentration (see Benm et al.
ee of diurnal variation in hourly
ozone concentrations (
0 0
0 0
0 0
0 0
0 0
0 0
0 0
2 0
0 0
0 0
0 0
0 0
1990).
'A curves
0
0
0
0
0
0
0
0
0
0
0
0

. least
0
0
0
0
0
0
0
0
0
0
o-
0

0
0
0
0
0
0
0
0
0
0
0
0

variation;
0
0
0
0
0
0
0
0
0
0
0
0

E CU1Y
      greatest variation) and dairy mean (1 curves - lowest mean; 6 curves highest mean) as described by B&hm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
            ROCKY MOUNTAIN NATIONAL PARK




         DOMINANT DIURNAL PATTERNS IN HOURLY

            OZONE CONCENTRATIONS (MAY - OCT)
 a
.o
"+3
 03


I
•O
                 180
                 90
          B4
  0    6    12   18  23
•o
c
cs
 CO
 C
 o

 +1
c
o
• *•*
4-^

2
4_)
C
O
o
c


a
C

8
o
I
c
CO

I
180
                 90
A3
  0    6    12   18  23
180
 90
A4
                   0   6    12   18  23
                      Hour of Day

-------
DOUGLAS COUNTY
         NEVADA
              BIOGRAPHIC INFORMATION
            Latitude
            Longitude
            Elevation (m)
            Basin Height (m) -
            Landuse
            City Population
            Basin Population  -
            Start Summary
            End Summary
            Source of Data
 38.97° N
119.96° W
1951
1916.6
Suburban - Commercial
Not In A City
260,163
October, 1982
June, 1989
AIRS (32-005-0004)

-------
                                                 Douglas County

                                               BASIC STATISTICS
  A.  BY YEAR.

         %Data % Valid
 Year      Capt;   Days2   5
     Percentiles and Arithmetic Mean (ppb)
 10     25    50  Mean*std    75     90
             % houn 2 x (ppb)      Days * x
   95     60     80    100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Yean
.
.
23
48
57
92
94
88
95
47
68
.
.
23
48
57
92
95
88
95
47
68
.
.
0
2
0
4
7
12
11
7
5
.
.
1
3
4
7
10
16
15
11
8
.
.
7
7
12
14
19
25
25
20
15
.
.
13
12
29
25
30
38
37
31
29
.
-
17.1*13
14.2*13
27.1*17
26.1*15
31.7*17
38.1*17
37.9*18
30.8*15
30.2*18
.
.
28
15
40
36
43
50
48
41
42
.
.
35
30
48
46
53
62
62
SO
53
.
.
40
37
53
53
63
67
71
55
62
.
.
0
1
2
2
7
13
12
2
6
.
.
0
1
0
0
1
1
2
0
1
.
.....
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
  B.  BY GROWING SEASON (May through October).
       %Data  % Valid
Year    Capt    Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50  Mean*std  75     90
     S063 SOS*     % houn i x (ppb)   Days * x
95   (ppm hr)    60    80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
.
.
17
26
49
91
94
77
92
33
All Yean 60
c

Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
.
.
17
27
49
90
95
77
92
33
60
.
.
0
2
0
7
10
12
15
8
6
.
.
0
4
0
11
14
16
18
11
11
.
.
8
9
0
18
23
25
28
21
20
. .
.
19 203*14 32
17 20.2*14 30
27 26.9*19 44
31 31.6*16 43
37 37.2*18 49
42 41.9*20 59
43 43.9*19 58
39 35.2*16 48
35 35.5*19 49
-
-
38
39
52
53
63
67
71
54
62
.
.
42
45
56
59
71
72
77
58
69
.
-
1
1
4
13
36
55
67
3
-
.
-
0
0
1
1
6
4
13
0
-
.
.
0
0
3
5
12
24
23
3
12
.
.
0
0
0
0
2
1
'4
0
1
.
-
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
BY MONTH 5.
% Data
Capt
99
95
92
96
80
70
79
93
78
82
95
88
% Valid
Days
99
95
92
96
81
69
79
93
79
82
94
88

5
2
4
6
8
12
0
6
9
9
4
9
2

10
4
7
9
11
15
0
10
14
12
8
12
5
Percentile*
25
9
11
14
16
25
17
18
23
23
16
21
11
and Arithmetic Mean
50 Mean*std 75
19 21.0*14 33
23 233*14 33
28 26.8*14 38
33 32.0*16 44
39 37.9*16 49
34 31.9*19 45
31 34.2*20 SO
37 40.1*21 59
38 393*21 S3
29 30.2*18 42
31 30.1*13 40
23 23.1*15 33
(PPb)
90
40
42
44
S3
58
56
61
69
70
56
' 47
40

95
44
46
48
59
64
63
69
73
78
62
SO
46
S06
SOS*
(ppm hr)
1
1
1
3
5
4
7
13
9
4
1
1
0
1
1
0
1
1
1
2
3
1
0
1
9
60
0
1
0
5
8
7
12
24
17
7
1
2
j houn
80
0
0
0
0
1
1
1
2
4
0
0
1
IX
(PPb)
100 120
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Days tx
120 ppb
0
0
0
0
0
0
0
0
0
0
0
0
1.  % Data Capture - * valid houn / (total * houn in avenging period) • 100. Av. period BY YEAR - 8760 hn; BY G.S. - 4416 hn.
2.  % Valid Days - * days with 75 % of houn between 0930 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index: S06 - Z [OjJ/1000, where [Oj] is hourly ozone concentrations I 60 ppb (Lee et at 1988).
4.  Cumulative Index: SOS - £ (OjJ/1000, where [Oj] is hourly ozone concentrations * 80 ppb (Lee et al. 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) - 506(08) • (# boun in that month) / (# valid houn).

-------
                                   Douglas County

            DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
 A.  BY YEAR.
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
B. BY
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
% Days
Unclassified'
2
4
6
6
8
6
5
3
5
GROWING
% Days
Unclassified7
3
14
9
; 7
: 10
7
6
3
8
A3
11
2
23
13
20
38
28
23
22
Percent occurrence of diurnal
A4 A5 A6 Bl B2


0
1
3
2
6
11
7
7
5
SEASON
A3


17
0
12
13
16
17
8
12
13


0
0
0
1
2
2
5
0
2
(May


0
1
0
0
0
0
0
0
0


48 26
75 8
11 14
6 24
3 18
0 5
0 7
2 22
11 14
ozone
B3


1
1
15
15
13
9
11
10
11
patterns as defined
B4 B5 Cl


0
1
4
2
6
5
12
8
5


0
0
1
3
4
10
6
4
4


1
1
2
6
4
0
2
0
2
by Behm
C2, C3


11 1
6 4
9 16
14 12
11 7
9 5
6 7
9 13
9 8
et al (1990)
C4 CS


0
0
3
3
5
5
9
4
5


0
0
0
0
0
0
0
0
0
(Figure
C6


0
0
0
0
0
0
0
0
0
4C1)2
D4 ES


0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
through October).
Percent occurrence
A4 A5 A6


0
0
4
3
10
13
9
14
8


0
0
0
1
3
5
11
0
4'


0
0
0
0
0
0
i
0
0
of diurnal
Bl B2


24 34
25 25
19 4
1 15
2 5
0 2
0 1
0 3
4 7
ozone
B3


3
6
23
27
20
10
13
19
17
patterns as
B4 B5


0
3
4
5
10
7
21
12
10


0
0
3
6
8
21
11
8
9
defined
Cl


0
3
0
1
1
0
0
0
1
by Behm
C2 O


21 0
22 17
1 24
8 14
3 10
6 10
0 7
0 20
5 12
etal
C4


0
0
6
7
11
11
17
12
10
(1990)
CS


0
0
0.
0
1
0
0
0
0
(Figure
OS


0
0
. 0
0
0
0
0
0
0
4C.1)2
D4 E5


0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
C  BY MONTH (composited over years).
        % Days
 Month  Unclassified'
  Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure
A3 A4  A5  A6  Bl B2  B3  B4  B5   Cl   C2 C3  C4  C5  C6 D4
E5
Jan
Feb'
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.

< 2
': 5
3
5
7
6
8
12
5
7
4
4
26 0
24 1
32 3
24 10
14 14
11 6
5 3
5 8
15 13
22 4
43 3
28 1
% days with unidentified diurnal
Pattern identifier
greatest variation)
0 0
0 0
0 0
0 0
4 0
2 0
3 0
5 0
10 1
0 0
0 0
0 1
patterns in
22 22
21 26
15 19
15 5
0 3
11 6
5 8
1 3
4 8
7 17
1 27
22 21
1 0
2 1
6 3
16 9
26 13
23 11
22 6
15 11
9 8
3 8
8 0
2 1
0 10
0 2
0 0
3 0
7 0
8 0
14 0
16 1
5 2
4 1
0 2
0 10
17
20
11
2
1
1
1
6
5
17
13
14
0 0
4 0
10 1
15 1
11 6
15 5
15 18
6 22
10 9
14 3
4 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
1 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
hourly ozone concentration (see Behm et aL 1990).
relates to degree of diurnal variation
and daily mean (1 curves
illustrated in Figure 4C1. Note
that due to
in hourly ozone concentrations
• lowest mean; 6 curves
highest mean) as
numeric rounding, the sums of percentages
(A curves -
described by
least variation; E curves -
Behm et al
do not always equal 100.
(1990)

and as


-------
c
.2
*.»
.2


03
l_i
4—1
C
c
8
o
P
O
ffi
.
                    DOUGLAS COUNTY



         DOMINANT DIURNAL PATTERNS IN HOURLY

            OZONE CONCENTRATIONS (MAY - OCT)
180



 90




  0
         11111
180
 90
180




 90




 0
          -H-
B4
   0     6    12   18   23
       06    12   18   23
       0    6    12    18   23
              180
                 180



                 90




                  0
                                            B5
                   0    6    12    18   23
180
                 90
C4
                               4-H-H-
                              0    6    12    18   23
                180r        A3



                 90



                  01
                                    1111 -I U
                   90
                              B3
                      nun
                              06    12    18   23
                     0    6    12    18   23
                         Hour of Day

-------
RENO
          NEVADA
       BIOGRAPHIC INFORMATION
     Latitude
     Longitude
     Elevation (m)
     Basin Height (m)  -
     Landuse
     City Population
     Basin Population  -
     Start Summary
     End Summary
     Source of Data
 39.53° N
119.81° W
1280
1280
City Center - Residential
100,756
260,163
January, 1980
November, 1981
AIRS (32-031-0005)

-------
                                                          Reno
                                                 BASIC STATISTICS
   A.  BY YEAR.

          % Data  % Valid
  Year     Capt'   Days2    5
     Percentiles and Arithmetic Mean (ppb)
  10     25    50  Mean±std   75     90
              % hours t x (ppb)      Days t x
   95     60     80     100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
91
86
88
90
85
88
0 0 10 20 22.2*17 30 50 50 4 0
0 0 0 20 2Z3±20 40 SO 60 . 7 1
0 0 10 20 223±19 30 SO 60 5 1
000
000
000
   B.  BY GROWING SEASON (May through October).
        % Data % Valid
 Year    Capt    Days   5
   Percentile* and Arithmetic Mean (ppb)
10     25    50  Mewttttd  75     90
     S063  SOS4     % hours i x (ppb)  Days t x
95   (ppm hr)     60   80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
91
93
.
.
.
.
.
.
.
-
92
90
93
.
.
.
.
.
.
.
-
92
0
0
.
.
.
.
.
.
.
-
0
0
0
.
.
-
.
.
.
'
-
0
10
10
.
.
.
.
.
'
.
-
10
30
30
.
.
-
.
.
.
.
-
30
27.8*19 40
29.0±21 40
.
.
.
.
.
.
.
-
28,4*20 40
50 60
60 60
-
.
'
.
.
.
.
-
50 60
20 2 7
34 6 12
.
.
.
.
. .
.
.
-
10
0
2
.
.
.
.
.
.
.
-
1
0 0
0 0
-
.
-
.
.
-
.
-
0 0
0
0
.
.
.
-
.
-
.
-
0
  C  BY MONTH s.

       *DaU  % Valid
Month   Capt    Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50  Meaatftd  75     90
      S06 SOS*      % hours t x (ppb)   Days £ x
95    (ppm hr)     60    80   100   120  120 ppb
•Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
100
92
95
82
89
86
95
96
88
100
90
97
100
93
94
80
87
83
98
92
88
100
88 .
100
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
10
10
10
0
0
0
0
0
0
0
10
10
20
20
20
10
10
0
0
0
10
10
20
30
30
30
40
40
20
10
10
10
11.3*10
15.9*13
19.4*13
24.0*15
29.1*15
306*18
37.7*21
3Z3*22
25.0*20
14.7*15
11.2*12
9.3*10
20
30
30
40
40
SO
SO
SO
40
30
20
20
30
30
30
40
SO
SO
60
60
SO
40
30
20
30
40
40
SO
SO
60
70
70
60
40
30
30
0
1
1
1
2
5
11
9
4
1
0
0
0
0
0
1
0
1
3
2
1
0
0
0
0
0
0
1
3
9
21
17
8
1
0
0
0
0
0
0
0
0
3
2
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
0
0
0
0
0
0
1.  * Diui Capture - * valid hours / (total * hours in averaging period) • 100.  Av. period BY YEAR - 8760 hrs; BY GS. - 4416 h
Z  % Valid Days - * days with 75 % of hours between 0930 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index:  S06 - Z (OjJAOOO, where [Oj] k hourly ozone concentration* t 60 ppb (Lee et ai 1988).
41  Cumulative Indec  SOS - X {OjJ/1000, where [Ojj is hourly ozone concentrations £ 80 ppb (Lee et *L 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of S06{08)  - 506(08) • (* hours in that month) / (* valid hours).

-------
                                             Reno
              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
 A. BY YEAR.

         % Days
  Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bahm ct al (1990) (Figure 4C.1)2
A3  A4  AS  A6  Bl  B2   B3   B4  B5   Cl   C2  C3   C4   CS  C6  D4   E5
1980
1981
lyoZ
1983
jyo4
lyoj
IVoo
100*7

IVoo
All Yean
5
4







5
5 1 0 0 16 19 14 2 0 14 12 13 4 0 0 0 0
4 1 0 0 12 13 17 3 2 18 13 12 6 0 0 0 0







4 1 0 0 14 16 16 2 1 16 12 12 5 0 0 0 0
B.  BY GROWING SEASON (May through October).
         % Days
 Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bahm et al (1990) (Figure 4C.1)*
A3  A4  AS   A6  Bl  B2  B3   B4   B5  Cl   C2  C3  C4   CS  C6  D4   E5
1980
1981
10ft?
1983
1
-------
                            RENO




           DOMINANT DIURNAL PATTERNS IN HOURLY

             OZONE CONCENTRATIONS (MAY - OCT)
 CS


.1
 T3

 T3


 •o
 c
      180
       90
          B2
        06    12    18   23
                                 180
                           90
                                            C4
                            0    6    12    18   23
c
o

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6

 
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ation
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                       ALBUQUERQUE


           DOMINANT DIURNAL PATTERNS IN HOURLY

              OZONE CONCENTRATIONS (MAY - OCT)
180
B4
                                 180
                                 90
                                      B2
  0    6    12    18   23
                             0    6    12   18  23
180
 90
          C2
                180
                           90
       Ql1 1111 M
B3
                 12   18   23
                                      12   18   23
             180
              90
                     0    6    12    18   23
                          Hour of Day

-------
                                           Albuquerque

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.

          % Days
  Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure
A3  A4   A5   A6  Bl  B2   B3  B4   B5  Cl   C2  C3   C4   CS  C6  D4   E5
1980
1981
1982
1983
1984
1985
1986
1O87
TORS
1989
All Years
5
8
6
5
8
8
7



7
5
8
6
5
8
7
6



7
1
3
1
0
1
1
1



1
0
0
0
0
0
0
0



0
0
0
0
0
0
0
0



0
15
8
14
14
15
8
6



12
13
13
18
14
12
16
17



is
9
10
12
9
10
11
9



10
7
8
4
7
6
6
8



7
1
4
0
1
0
3
1



2
13
14
10
12
10
8
10



11
20
17
17
20
20
19
19



19
13
11
15
14
15
17
18



14
3
5
2
4
2
4
6



3
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
B.  BY GROWING SEASON (May through October).
         %Days
 Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4G1)2
A3  A4   AS  A6  Bl  B2  B3   B4   B5   Cl   C2  C3   C4   CS  C6  D4   E5
1980
1981
1982
1983
1984
1985
1986
1QS7
JL7O 1
1988
1989
All Years
8
10
7
3
10
8
9

.
-
8
4
9
6
2
8
7
8

fc
-
6
1
6
2
1
1
1
1

_
-
2
0
0
0
0
0
0
0

^
-
0
0
0
0
0
0
0
0

m
-
0
1
2
2
3
4
1
1

,
-
2
19
12
14
11
14
10
20

.
-
14
16
17
22
15
17
20
11

.
-
17
14
16
7
12
10
9
11

_
•
11
3
7
1
1
1
6
3

.
-
3
1
2
2
2
1
1
0

_
•
2
19
8
19
24
16
16
10

.
-
16
15
14
19
21
26
22
22

.
-
20
6
8
5
8
3
7
13

_
-
7
0
0
0
0
0
0
0

.
-
0
0
0
0
0
0
0
0

.
-
0
1
0
1
0
0
0
0

.
-
0
0
0
0
0
0
0
0

.
-
0
C BY MONTH (composited over years).
         % Days
 Month   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure
A3  A4  A5   A6   Bl  B2  B3   B4   B5   Cl  C2  C3  C4   CS   C6  D4   ES
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
7
3
8
8
9
7
10
9
7
5
6
4
1
3
14
20
10
7
5
5
7
3
2
0
% days with unidentified
Pattern identifier
relates
0
0
0
2
2
4
3
2
0
0
0
0
diurnal
to degr
0 0 42 11 0
0 0 10 22 1
0 0 4 23 3
0 0 0 10 16
0 0 0 10 25
0 0 0 10 25
0 0 1 9 25
00 0 9 19
0 0 3 20 8
0 0 11 23 1
0 0 22 19 0
0 0 45 7 0
0 0 34
0 0 14
105
10 1 0
16 1 0
11 4 0
14 9 0
24 3 0
4 1 0
0 0 10
0 0 32
0 0 37
11 0
48 2
29 19
5 34
2 25
3 24
6 21
7 22
37 19
45 7
23 1
10 1
0
0
1
2
10
13
7
8
1
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'
o"
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
patterns in hourly ozone concentration (see Behm et al. 1990).
ee of diurnal variation in ho
urry ozone concentrations (A
curves
• least
variation; E curv
      greatest variation) and dairy mean (1 curves • lowest mean; 6 curves highest mean) as described by Behm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                                                    Albuquerque

                                                BASIC STATISTICS
  A  BY YEAR.
% Data
Year Capt7
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
85
100
99
98
96
99
57
.
-
-
91
% Valid
Days2 5
85
100
99
99
95
99
57
.
-
-
91
0
0
0
0
0
0
0
.
-
-
0
Percentiles and Arithmetic Mean (ppb)
10 25 50 Mean*std 75 90
1
1
1
0
0
3
3
.
-
-
1
7
9
9
6
8
9
10
.
-
-
8
20
25
22
20
23
23
25
.
-
-
23
23.1*18
25.8*19
23.0*17
22.0*18
233*17
24.6*18
25.8*18
.
-
-
23.9*18
35
39
35
35
36
37
39
.
-
-
36
48
50
45
46
47
50
50
.
-
-
49
95
55
59
51
54
54
57
56
.
-
-
55
% noun fc x (ppb)
60 80 100 120
3
5
2
3
2
4
3
.
-
-
3
0
1
0
0
0
0
0
-
-
-
0
- 0
0
0
0
0
0
0
.
-
-
0
0
0
0
0
0
0
0
-
-
-
0
Days fcx
120 ppb
0
0
0
0
0
0
0
-
-
-
0
  B.  BY GROWING SEASON (May through October).
       %Daia  % Valid
Year    Capt    Days    5
  Perceoliles and Arithmetic Mean (ppb)
10    25     50  Mean**td   75     90
     S063 S08*     % hours I x (ppb)   Days i x
95   (ppm hr)    60   80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
82
100
99
98
96
99
48
.
.
-
89
82
99
99
98
96
99
47
.
.
•
89
1
4
0
0
0
4
3
.
.
-
1
5
8
3
2
4
6
7 .
.
.
-
5
15
19
14
12
4
14
17
.
.
-
IS
30
33
28
26
28
29
31
.
.
-
29
30.0*19
33.4*19
27.8*18
27.9*19
28.4*18
30.6*19
30.9*18
.
.
-
29.8*19
43
41
40
42
41
45
44
.
.
-
43
55
58
50
53
53
56
54
.
.
-
55
63
65
59
61
59
63
59
.
.
-
61 .
17
27
14
18
12
23
8
.
.
-
-
2
4
3
3
2
4
2
.
.
-
-
7
9
4
6
4
8
5
.
.
-
6
0
0
0
0
0
0
0
.

-
1 0
0
0
0
0
0
0
0
.
.
-
0
0
0
0
0
0
0
0
-
.
-
0
  C  BY MONTH5.

       %Data  % Valid
Month    Capt   Days   5
  PeroentUcs and Arithmetic Mean (ppb)
10    25    50   Mean**td  75     90
      S06 S08*      % hours I x (ppb)   Days * x
 95    (ppm hr)    60    80   100    120   120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
100
99
91
97
86
95
99
99
99
97
97
99
100
99
91
97
86
95
99
99
99
97
96
99
0
0
0
2
3
3
4
4
1
0
0
0
0
0
1
6
8
7
9
9
3
0
0
0
1
4
10
18
19
19
19
18
10
5
2
1
10
16
25
33
35
34
34
32
23
16
11
6
12.1*11
173*14
23.5*15
30.2*16
3Z5*17
33.4*18
34.0*19
333*19
25.0*18
19.0*15
14.5*13
103*11
21
29
35
42
45
46
47
46
37
30
25
18
30
36
42
49
53
57
60
59
49
41
33
27
33
40
46
54
58
63
67
67
55
47
38
30
0
1
1
1
2
4
6
6
2
1
1
1
0
0
1
1
1
1
1
2
1
1
0
0
0
0
0
1
4
8
10
10
3
1
0
0
0
0
0
0
0
1
1
2
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
0
0
0
0
0
0
1.  % Data Capture - * valid noun / (total * noun in averaging period) * 100. Av. period BY YEAR - 8760 hn; BY G.S. - 4416 tin.
Z  % Valid Days - « days with 75 % of noun between 09KX) and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index:  S06 - £ (OjJAOOO, where [Oj] is nouriy ozone concentrations i 60 ppb (Lee et al. 1988).
4.  Cumulative Index:  SOS - I (OjJ/1000, where jqj] is hourly ozone concentntions t. 80 ppb (Lee et al. 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of S06{08) - 506(08) • (# hours in that month) / (# valid hours).

-------
ALBUQUERQUE
      NEW MEXICO
            BIOGRAPHIC INFORMATION
                                         	11.
                        \
           Latitude
           Longitude
           Elevation (m)
           Basin Height (m)
           Landuse
           City Population
           Basin Population
           Start Summary
           End Summary
           Source of Data
 35.14° N
106.59° W
1585
1525.5
City Center
331,767
500,331
January, 1980
July, 1986
AIRS (35-001-0015)

-------
CLACKAMAS COUNTY
          OREGON
               BIOGRAPHIC INFORMATION
              Latitude
              Longitude
              Elevation (m)
              Basin Height (m)
              Landuse
              City Population
              Basin Population
              Start Summary
              End Summary
              Source of Data
 45.26° N
122.59° W
174
50.8
Rural - Agricultural
Not In A City
2,163,767
January, 1980
October, 1989
AIRS (41-005-0004)

-------
                                      Clackamas County

             DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
 A.  BY YEAR.

         %Days
  Year   Unclassified'
   Percent oocurrenoe of diurnal ozone patterns as defined by Bfihm et al (1990) (Figure 4G1)*
A3A4A5A6B1B2B3B4B5C1C2C3C4CSC6D4ES
1980
1981
1982
1983
1984
1982
1986
1987
1988
1989
All Years
B. BY

Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
7
5
4
5
7
4
7
6
7
8
6
GROWING
% Days
Unclassified'
9
7
5
7
11
5
7
6
7
8
7
14 0
16 0
22 0
11 0
17 0
19 0
19 0
16 1
6 1
9 1
16 0
SEASON
0 0
1 0
0 0
0 0
0 0
0 0
1 0
0 0
0 0
1 0
0 0
28 43 7
21 41 7
25 36 7
28 46 2
21 46 7
18 42 8
14 41 12
1 50 16
9 54 12
15 48 12
19 44 8
1
2
1
0
1
2
1
5
5
4
2
2
6
4
2
2
6
6
8
10
2
4
1
1
2
4
1
1
0
1
1
1
1
4
3
2
5
3
2
3
2
2
5
3
0
1
2
2
3
2
1
1
1
2
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
1
1
1
0
1
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 0
(May through October).
Percent occurrence
A3 A4
3 0
11 1
6 0
5 0
12 0
14 1
11 0
16 1
7 1
5 1
9 0
AS A6
0 0
1 1
0 0
0 0
0 0
1 0
1 0
. o o
0 0
1 0
0 Q
of diurnal ozone
Bl B2 B3
22 S3 11
8 43 11
26 39 11
27 41 . 4
11 SI 11
4 44 14
12 44 13
1 49 16
9 S2 12
16 47 14
14 46 12
patterns as
B4
1
4
2
1
1
3
2
S
5
3
3
B5
3
12
8
4
3
12
10
9
11
3
7
defined
Cl
1
1
3
5
1
1
1
1
1
1
1
by Bahm
C2
6
4
3 •
9
5
1
3
2
2
5
4
C3
1
1
2
4
3
3
1
1
1
2
2
etal
C4
0
1
0
0
0
0
1
0
0
0
0
(1990)
cs
0
1
0
0
].
1
1
0
1
0
1
(Figure
C6
0
1
0
0
0
0
0
0
0
0
0
4C1)2
D4 ES
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
C BY MONTH (composited over years).
        % Days
 Month   Unclassified'
  Percent occurrence of diurnal ozone patterns as defined by Bahm et al (1990) (Figure
A3  A4  AS   A6  Bl  B2  B3  B4   B5   Cl  C2  C3  C4   CS  C6  D4  E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
3
4
3
7
9
7
6
7
6
8
3
0
% days with
13
21
28
47
22
11
0
2
11
8
17
16
unidentified
Pattern identifier relates
000
000
000
1 0 0
000
1 0 0
000
020
200
000
000
000
diurnal patterns in
58 26
28 48
8 53
2 32
3 47
13 46
10 47
9 40
14 S3
34 44
31 49
47 36
hourly ozone
1 0
1 0
3 0
13 3
12 6
15 1
16 3
17 4
6 2
2 0
0 0
0 0
0
0
0
0
5
8
10
15
5
0
0
0
concentration (see
2 1
0 1
3 4
0 0
0 2
2 2
1 6
1 6
1 4
4 5
0 1
1 1
0 0
1 0
2 0
0 0
2 0
1 0
4 0
3 1
1 0
0 0
1 0
0 0
0 0
0 0
0 0
0 0
0 0
1 0
1 0
1 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
Betun et al. 1990).
to degree of diurnal variation in hourly ozone concentrations
greatest variation) and daily mean (1 curves

illustrated in
Figure 4C1
. Note that due to
• lowest mean; 6 curves
highest
mean) as
numeric rounding, the sums of percentages
(A curves -
described by
least variation; E curves -
Bahm et al
do not always equal 100.
(1990)

and as


-------
                      CLACKAMAS COUNTY


             DOMINANT DIURNAL PATTERNS IN HOURLY
               OZONE CONCENTRATIONS (MAY - OCT)
.2


•o

TJ

03
•a
c
03
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2s
ex
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 03
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O
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03

-------
COLUMBIA COUNTY
         OREGON
              BIOGRAPHIC INFORMATION
             Latitude
             Longitude
             Elevation (m)
             Basin Height (m)  -
             Landuse
             City Population
             Basin Population  -
             Start Summary
             End Summary
             Source of Data
 45.77° N
122.77° W
6
5.5
Rural - Agricultural
Not In A City
2,163,767
July, 1980
October, 1989
AIRS (41-009-0004)

-------
                                                 Columbia County

                                                BASIC STATISTICS
   A  BY YEAR.

          SbData  % Valid
 Year      Capt'   Days*    5
     Percemiles and Arithmelk Mean (ppb)
  10     25    50  Mean±«td   75     90
              % boun i x (ppb)       Days £ x
   95     60     80     100    120   120  ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
32
46
48
45
32
49
42
53
52
53
45
32
46
47
45
32
49
42
54
52
54
45
1
1
2
1
1
2
1
2
1
3
1
2
5
5
2
4
6
3
7
1
6
4
10
13 .
13
7
13
13
10
16
7
13
11
17
22
23
14
21
23
18
24
14
22
20
18-5*12
23.8*15
23.9*15
14.1*09
22^*14
24.1*15
20.1*14
26.0*15
16.3*13
23.5*14
21.4*14
25
32
33
19
31
33
28
35
23
32
30
35
41
43
26
39
42
38
45
33
41
39
41
51
50
31
46
51
43
53
39
47
47
1
3
2
0
2
2
2
3
1
1
2
0
1
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
2
0
0
0
0
1
0
0
3
   B. BY GROWING SEASON (May through October).
        % Data  % Valid
 Year    Capt    Days    5
  Percemiles and Arithmetic Mean (ppb)
10    25    50  Mearusld  75     90
95
S063 SOS'     % hours z x (ppb)   Days i x
(ppm hr)    60    80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
62
89
93
90
64
96
84
96
96
91
All Years 86
c

Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
63
89
92
89
64
96
83
97
97
92
86
1
1
2
1
1
2
1
2
1
4
1
2
5
5
2
4
6
3
7
1
6
4
10
14
13
7
4
14
10
15
7
13
11
17 18.6±12 26
22 23.9*16 32
22 23.7*15 32
14 14.1*09 19
21 22J*14 31
23 24.0*15 33
18 20.1*14 28
24 25.7*15 34
14 16.0*13 22
22 23.1*13 31
20 21.3*14 29
35
41
42
26
39
42
38
45
32
40
39
41
52
50
31
46
51
43
53
39
47
46
2 1
10 4
7 2
0 0
4 1
7 2
4 1
9 2
4 1
3 1
-
1
3
2
0
2
2
2
3
1
1
2
0
1
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
2 •
o I
0
0
0
1
0
0
3
BY MONTH s.
% Data
Capt
.
.
.
38
89
93
95
94
90
91
4
-
% Valid
Days
.
.
.
38
88
93
96
94
90
91
2
•

5
.
.
.
3
8
7
5
3
1
1
1
-

10
.
.
.
7
12
11
8
6
3
1
1
-
Percen tiles
25
.
.
.
15
20
17
14
11
9
2
2
•
and Arithmetic Mean
50 Mean*std 75
.
.
.
27 25.9*14 35
29 28.9*13 37
24 26.0*14 33
20 212*13 28
18 21.2*15 28
18 19.2*14 27 ,
10 12.6*11 20
10 11.7*10 19
•
(PPb)
90
.
.
.
43
44
42
39
40
36
29
27
-

95
.
.
.
48
49
52
48
51
43
33
29
-
S06 S08*
(ppm hr)
.
.
.
1 1
1 1
2 1
2 1
2 1
1 1
1 0
0 0
-
*
60
.
.
.
1
1
3
2
3
1
0
0
-
'•> hours
80
. •
.
-
0
0
0
0
1
0
0
0
-
*x (ppb)
100
.
.
.
0
0
0
0
0
0
0
0
'-
120
.
.
.
0
0
0
0
0
0
0
0
•
Days £ x
120 ppb
.
.
.
0
1
1
0
0
1
0
0
*
1.  % Data Capture - # valid hours / (total # hours in avenging period) • 100. Av. period BY YEAR - 8760 hr*; BY G.S. - 4416 hn
2.  % Valid Days - * days with 75 % of hours between 09:00 and 21:00 / (total # days) •  100 (Federal Register 1979).
3.  Cumulative Index  S06 - I [OjJ/1000, where [O_j] is hourly ozone concentrations t 60 ppb (Lee et iL 1988).
4.  Cumulative Index:  SOS - I [OjJAOOO, where [Oj] is hourly ozone concentrations t 80 ppb (Lee et aL 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) - 506(08) • (# hours in that month) / (* valid hours).

-------
                                      Columbia County

             DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS

 A.  BY YEAR (March through November).
         % Days
  Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bahm et al (1990) (Figure 4C1)2
A3  A4  AS  A6   Bl  B2  B3   B4   B5  Cl  C2  C3   C4   CS  C6  D4  ES
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
B. BY

Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
7
6
8
4
10
6
6
9
7
7
7
GROWING
%Days
Unclassified'
7
5
8
4
10
6
6
9
7
5
7
0 0
6 0
14 1
2 0
5 0
5 0
7 0
9 0
1 0
11 0
6 0
SEASON
0
1
0
0
0
0
1
0
0
0
0
(May
0
0
0
0
0
0
0
0
0
0
0
24 56
18 52
18 36
63 30
19 52
15 48
34 38
8 52
44 35
17 43
26 43
8
12
10
1
7
14
9
14
2
14
9
0
3
6
0
2
4
1
5
1
3
3
0
2
4
0
2
4
2
3
1
0
2
4
0
3
3
5
2
1
1
2
2
2
8
3
6
1
8
7
7
6
8
7
6
1
2
2
0
0
1
1
2
5
3
2
0
0
0
0
0
1
0
1
0
0
0
0
1
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
0 0
0 0
0 0
0 0
through October).
Percent occurrence
A3 A4
0 0
6 0
15 0
2 0
5 . 0
5 0
7 0
7 0
1 0
11 0
6 0
AS
0
1
0
0
0
0
1
0
0
0
0
A6
0
0
0
0
0
0
0
0
0
0
0
of diurnal
Bl B2
23 57
18 52
19 36
63 30
19 52
15 48
34 38
9 51
46 33
18 43
27 43
ozone
B3
7
11
9
1
7
13
9
15
3
13
9
patterns
as
B4 B5
0
3
6
0
2
4
1
4
1
4
3
0
2
4
0
2
4
2
3
1
0
2
defined
Cl
4
0
3
3
5
2
1
1
3
2
2
by
Bohm
C2 O
8
4
6
1
8
8
7
7
8
6
6
1
2
2
0
0
1
1
2
5
3
2
etal
C4
0
0
0
0
0
1
0
1
0
0
0
(1990)
CS
0
1
0
0
0
0
0
0
0
0
0
(Figure
C6
0
0
0
0
0
0
0
0
0
0
0
4C.1)2
D4 ES
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
C BY MONTH (composited over years).
        %Days
 Month  Unclassified'
  Percent occurrence of diurnal ozone patterns as defined by B«hm et al (1990) (Figure 4C.I)2
A3  A4  AS  A6  ;B1  B2   B3  B4  B5   Cl   C2 C3   C4   CS  C6  D4  ES
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Ncv
Dec
1.
2.

.
0
14
6
7
7
6
8
5
0
•
% days with

.
0
14
25
11
1
1
2
2
0
-
unidentified
Pattern identifier relates

.
0
2
0
0
0
0
0
0
0
•
diurnal

.
0 0
0 0
1 0
0 0
0 0
0 0
0 0
0 0
0 0
•
patterns in
1
• .
SO 50 0 0
10 SO 14 4
5 38 13 9
U 52 12 4
22 56 13 2
25 47 11 2
29 45 5 0
60 22 1 0
SO 0 SO 0
. -

.
0 0
0 0
2 1
6 1
2 0
2 1
1 3
0 8
0 0
-

.
0
6
4
2
3
8
13
8
0
-

.
0 0
0 0
3 0
2 1
2 0
3 0
2 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
0
0
0
0
0
o
0
•
hourly ozone concentration (see Bshm et aL 1990).
to degree of diurnal variation in hourly ozone concentrations
greatest variation) and daily mean (1 curves

illustrated in
Figure 4C.1
. Note
that due to
- lowest mean; 6 curves
highest mean) as
numeric rounding, the sums of percentages
(A curves -
described by
least variation;
Bshm et al
do not always-equal 100.
E curves -
(1990) and as



-------

•o
03
•o
c
03
O
2
o
c
o
U


-------
CROOK COUNTY
         OREGON
            BIOGRAPHIC INFORMATION
           Latitude
           Longitude
           Elevation (m)
           Basin Height (m)  -
           Landuse
           City Population
           Basin Population  -
           Start Summary
           End Summary
           Source  of Data
 44.23° N
119.71° W
1372
1230.8
Rural
Not In A City
193,220
January, 1980
December, 1983
AIRS (41-013-0111)

-------
                                              Crook County

                                           BASIC STATISTICS
  A.  BY YEAR.

        96 Data % Valid
Year     Capt7   Days*   5
    Percentiks and Arithmetic Mean (ppb).
 10     25   50 Mean±*td   75    90
            % noun t x (ppb)      Days 2 x
  95    60     80   100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
B. BY
%
88
89
89
83
.
.
•
.
.
-
87
88
87
89
84
.
.
.
.
.
-
87
GROWING
Data
Year Capt
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
93
87
92
87
-
-
-
.
.
-
90
% Valid
Days
92
84
92
89
.
.
.
.
.
-
89
25 25 35 40 38.5*09 45 50 55 3
20 20 25 30 312*08 35 40 45 0
20 25 30 35 34.1*08 40 45 50 0
25 25 30 35 34.4*08 40 45 50 0
.
.
..... ....
. ....
.... ....
.
20 25 30 35 34.5*09 40 45 50 1
SEASON (May through October).
Percentiles and Arithmetic Mean (ppb) S063 SOS4
5 10 25 SO Mean*std 75 90 95 (ppm hr)
25 30 35 40 40.6*10 45 55 55 13 1
20 25 30 35 333*08 40 45 45 10
20 25 30 35 35.4*09 40 50 50 30
25 25 30 35 36.4*08 40 45 50 20
.
.
. .
... . ....
.
-
20 25 30 35 36.5*09 40 50 55 -
0000
0 " 0 0 0
0000
0000
.
.
.
.
.
.
0000

% hours fc x (ppb) Days t x
60 80 100 120 120 ppb
50000
00000
10000
00000
.
.
.

.
.
20000
  C  BY MONTH 5.

      %Dau % Valid
Month   Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50   Mean**td  75    90
     S06 SOS*     % hours I x (ppb)   Days t x
95   (ppm hr)    60   80   100   120  120 ppb
Jan 76 77 20 25 30 30 303*06 35 35 40 0 0
Feb 75 74 20 25 30 35 32.2*05 35 40 40 0 0
Mar 98 98 25 30 30 35 35.4*06 40 45 45 00
Apr 86 84 25 30 35 40 383*08 45 45 SO 10
May 87 85 25 30 35 40 392*08 45 50 55 10
Jun 98 97 20 25 30 35 34.8*09 40 45 SO 10
Jul 85 83 20 25 30 35 373*10 45 50 55 20
Aug 93 94 25 30 35 40 40.9*10 45 55 55 21
Sep 95 96 20 25 30 35 353*09 40 45 SO 10
Oct 82 82 20 20 25 30 30.5*07 35 40 45 10
Nov 96 97 20 25 25 30 28.7*05 30 35 35 00
Dec 76 76 20 25 25 30 29.0*05 30 35 35 00
000
000
000
000
100
100
400
400
1 0 0
000
000
0 00
0
0
0
0
0
0
0
0
0
0
0
0
1. % Data Capture - * valid hours / (total * hours in averaging period) • 100. Av. period BY YEAR - 8760 hrs; BY CS. -
Z % VaUd Days - * days with 75 % of hours between 0940 and 21:00 / (total * days) • 100 (Federal
3. Cumulative Index: S06 - t (Oj]AOOO, where [Oj] is hourly ozone concentration* i 60 ppb (Lee el al
Register 1979>
.1988).


0
0
0
0
0
0
0
0
0
0
0
0
4416 hrs.


4. Cumulative Index: SOS - £ [Oj]/1000, where [Oj] is bouriy ozone concentrations t 80 ppb (Lee et al. 1988).
5. Statistics for monthly composites over the period of record.
6. Monthly estimate of 506(08) - S06(08) • (* hours in that month) / (* valid hours).







-------
                                       Crook County

             DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.
Year I
1980
1981
1982
1983
1O&4
1OQ<
1OQX
• OQ7

lOfiO
% Days
Jndassified'
4
5
4
5





Percent oocurrenoe of diurnal ozone patterns as defined by Bahm el al (1990) (Figure 4C.1)*
A3 A4 AS A6 Bl B2 B3 B4 B5 Cl C2 C3 C4 C5 C6 D4 E5
47 32000 10 64000000000
4370014062000000000
511400027340000 00000
52 13 000 21 67000000000





All Years
48  17
                                        24
B. BY GROWING SEASON (May through October).

        % Days         Percent occurrence of diurnal ozone patterns as defined by Behm et at (1990) (Figure 4C.1)2
 Year   Unclassified7    A3 A4  AS  A6  Bl  B2  B3  B4  B5  Cl   C2 C3  C4  CS  C6  D4   E5
1980
1981
1982
1983
1985

1987
IQftft
1989
All Years
5
7
7
9




-
7
40
47
37
45




-
42
38
14
23
24




••
25
1
0
0
0




-
0
0
0
0
0




-
0
0
1
0
0




•
0
7
30
29
13




-
20
8
7
6
10




-
8
6
1
5
8




-
5
0
0
0
0




-
0
0
0
0
0




-
0
0
1
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
C BY MONTH (composited over years).
        % Days
 Month   Unclassified'
   Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C.1)2
A3  A4  AS   A6  Bl  B2   B3  B4  BS  Cl   C2 C3   C4  CS  C6  D4  E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
Z

1
1
3
1
14
5
9
7
7
0
2
0
62
72
71
46
49
41
27
36
57
41
33
51
% days with unidentified
Pattern identifier
greatest variation)
relates
1 0
1 0
14 0
29 0
32 0
17 0
32 1
48 0
20 0
4 0
1 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
diurnal patterns in
5
0
0
0
0
1
0
0
0
0
0
0
hourly
31 0 1
19 5 3
555
8 5 12
279
21 11 8
16 14 10
862
16 6 1
52 2 1
63 3 1
48 1 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
1
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
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0"
o o-
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
ozone concentration (see Behm et al. 1990).
to degree of diurnal variation in hourly ozone concentrations
and daily mean (1
illustrated in Figure 4C1
. Note that
curves
due to
(A curves -
• lowest mean; 6 curves highest mean) as described by
numeric rounding, the
sums of percentages
least variation; E curves •
Bfihm et al
(1990) and as
do not always equal 100.

-------
 c
.o
*-C
 co
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•H
CO
•o


CO
4—1
C/5
c
o

+1
a,
c
.0
**J
CO
o


cS

o
c
o
N
o
3

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c
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                       CROOK COUNTY




           DOMINANT DIURNAL PATTERNS IN HOURLY

              OZONE CONCENTRATIONS (MAY - OCT)
                    180
                    90
180
 90
180
 90
           B2
  0    6    12    18   23
A4
A3
                +H-H-H
                     0    6    12    18   23
                     0    6    12    18   23
                           Hour of Day

-------
EUGENE
         OREGON
        BIOGRAPHIC INFORMATION
       Latitude
       Longitude
       Elevation (m)
       Basin Height (m) -
       Landuse
       City Population
       Basin Population  -
       Start Summary
       End Summary
       Source  of Data
 44.01° N
123.09° W
187
144.6
Suburban - Residential
105,264
2,163,767
January, 1980
December, 1984
AIRS (41-039-0008) .

-------
                                                  Eugene

                                           BASIC STATISTICS
  A.  BY YEAR.

        % Data % Valid
Year     Capt'   Days2   5
    Percentiles and Arithmetic Mean (ppb)
 10     25    50  Mean*std   75    90
            % houn £ x (ppb)      Days i x
   95     60    80    100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Yean
45
93
92
31
76
.
.
.
.
-
68
45
93
93
31
77
-
.
.
-
-
68
1
1
1
1
1
.
.
.
.
-
1
1
1
2
1
1
-
.
.
.
-
1
3
6
8
6
6
.
-
.
.
-
6
10
18
19
16
15
.
.
.
.
-
16
14.4*14
21.1*18
19.3*13
16.9*12
16.9*13
.
.
.
.
-
18.4*15
22
32
29
27
27
.
.
.
.
-
28
33
42
35
33
34
.
.
.
.
-
36
40
51
40
35
39
.
.
.
.
-
43
1
3
1
0
1
.
.
.
.
-
1
0 ..
1
0
0
0
.
.
.
.
-
0
0
0
0
0
0
.
.
.
.
-
0
0
0
0
0
0
.
.
.
.
-
0
0
3
0
0
0
.
.
.
.
-
3
  B. BY GROWING SEASON (May through October).
      % Data % Valid
Year    Capt    Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50  Mean*std 75     90
     SQ63  S08*     % hours * x (ppb)   Daysix
95   (ppm hr)    60   80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Yeare
49
97
94
-
69
.
.
.
.
-
77
49 1
98 1
95 1
-
70 1
.
.
-
.
•
78 1
2
3
4
.
3
.
.
-
.
-
3
6
11
10
.
3
.
.
-
-
-
9
13
22
19
-
16
.
.
.
.
-
18
17.6*15
25.6*20
20.8*14
-
19.1*15
.
-
-
.
-
21.4*17
26
35
29
.
28
-
-
.
-
-
30
39
50
38
.
38
.
.
-
.
-
42
48
63
47
.
46
.
.
-
-
-
52
3
21
6
.
4
.
-
.
-
-
-
0
8
1
-
1
-
.
-
-
-
-
2
6
2
.
1
-
.
-
-
-
3
0
2
0
.
0
.
.

.
-
1
0
1
0
.
0
.
.
.
.
-
0
0
0
0
.
0
.

.
.
-
0
0
3
0
.
0
-
.
-
.
-
3
  C  BY MONTH 5.

      %Data % Valid
Month   Capt   Days  5
  Percentiles and Arithmetic Mean (ppb)
10    25    50   Meaiusld  75    90
     S06 SOS*     % hours 2 x (ppb)  Days t. x
 95   (ppm hr)    60    80   100   120  120 ppb
Jan 73 73 1 11 5 10.5*11 193032 00 000
Feb 82 82 1 1 5 15 15.9*11 273234 00 000
Mar 98 98 1 3 9 22 20.7*12 323638 00 000
Apr 75 74 5 8 15 28 26.1*13 37 42 44 00 000
May 95 94 6 8 15 24 24.6*12 34 42 44 10 000
Jun 71 72 4 8 14 25 27.2*16 37 50 59 30 500
Jul 93 95 5 8 12 20 24.9*17 34 47 59 31 510
Aug 97 97 4 6 11 19 24.4*19 32 49 63 42 621
Sep 98 98 1 2 7 17 19.7*16 29 38 49 21 310
Oct 99 100 1 1 3 10 13.2*12 22 30 34 10 000
Nov 82 82 1 1 3 11 13.8*11 243032 00 000
Dec 94 95 1 1 2 9 111*11 21 28 31 00 000
1. % Data Capture - # valid hours / (total # hour* in averaging period) • 100. Av. period BY YEAR • 8760 hrt; BY
2. % Valid Days - * days with 75 % of hours between 09:00 and 21:00 / (total * days) • 100 (Federal Register 1979).
3. Cumulative Index: S06 - Z [Oj]/1000, where [Oj] is hourly ozone concentraUoos t 60 ppb (Lee et aL 1988).
4. Cumulative Index: SOS - Z fOjJ/1000. where [Ojj is hourly ozone concentrations i 80 ppb (Lee et aL 1988).
5. Statistics for monthly composites over the period of record.
6. Monthly estimate of 506(08) - 506(08) • (* hours in that month) / (* valid hours).
0
0
0
0
0
0
0
0
0
0
0
0
CS. -





0
0
0
0
0
0
0
3
0
0
0
0
4416 hrs.






-------
                                           Eugene

             DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.

         % Days
 Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C.1)2
A3  A4  AS  A6   Bl  B2   B3  B4  B5  Cl  C2 C3  C4  CS  C6  D4   ES
1980
1981
1982
1983
1984
IQfiC
1OOA
1Ofi*7

IQfiQ
All Years
B. BY

Year
1980
1981
1982
1OQ1
1984
too/;
1QR7
IQftft
1989
All Years
6
5
6
3
7




6
GROWING
% Days
Unclassified*
9
5
6

9



•
7
5
10
11
9
5




8
0
0
0
0
0




0
SEASON
0
0
0
0
0




0
(May
0 41 21 3
0 28 25 11
0 27 37 7
0 38 40 2
0 36 37 1




0 32 32 6
through October).
Percent occurrence of diurnal ozone
A3
. "0
7
5

2



-
4
A4
0
0
0

0



-
0
AS
0
0
0

0



-
0
A6 Bl B2 B3
0 23 28 6
1 14 28 18
0 19 43 13

0 22 42 3



.
0 19 36 11
1
2
0
0
0




1

patterns
0
5
1
0
1




2

as
B4 BS
2
3
0

0



-
1
0
9
1

3



-
4
12
8
5
7
8




8

defined
a
9
9
5

6



-
7
15
6
9
4
9




9

2
3
2
0
2




2

by Behm
C2
27
6
10

17



-
13
C3
4
4
4

5



-
4
0
1
0
0
0




0

etal
C4
0
1
0

1



-
1
0
1
0
0
0




0

(1990)
CS
0
1
0

0



-
0
0
0
0
0
0




0

(Figure
C6
0
0
0

. 0



•
0
0
0
0
0
0




0

4C1)2
0
0
0
0
0




0


D4 ES
0
0
0

0



-
0
0
0
0

0



-
0
C BY MONTH (composited over years).

        % Days         Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C.I)2
 Month  Unclassified*   A3  A4  AS   A6  Bl  B2  B3  B4   B5   Cl  C2  C3  C4   CS  C6  D4  ES
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
Z
4
4
7
15
3
5
2
11
9
6
5
1
% days with
10
12
19
25
18
9
1
0
3
1
6
6
unidentified
Pattern identifier relate*
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
1
0
0
0
0
diurnal patterns in
66 IS 0 0
42 30 0 0
14 43 2 0
0 31 11 5
25 39 12 2
11 35 26 5
5 54 17 0
16 35 15 1
13 40 7 2
38 19 0 0
48 27 1 0
65 27 0 0
0 8
0 12
0 9
0 4
0 0
9 0
6 1
6 1
3 6
0 25
0 14
0 2
1
4
14
16
0
3
6
13
25
18
3
0
0 0
0 0
0 0
7 0
4 0
2 0
6 3
12 0
1 1
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
2 0
0 0
0 0
o o-
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
hourly ozone concentration (see Behm et al. 1990).
to degree of diurnal variation in hourly ozone concentrations
greatest variation) and dairy mean (1

illustrated in
Figure 4C1
. Note that
curves
due to
- lowest mean; 6 curves
(A curves •
highest mean) as described by
numeric rounding, the sums of percentages
least variation; E curves -
Behm et al
do not always equal 100.
(1990)

and as


-------
                          EUGENE



           DOMINANT DIURNAL PATTERNS IN HOURLY

             OZONE CONCENTRATIONS (MAY - OCT)
 c
 o
 « »"H
 4-J
 CO
 •?
 

 2
4-J
 C
 
-------
MARION COUNTY
         OREGON
             BIOGRAPHIC INFORMATION
            Latitude
            Longitude
            Elevation (m)
            Basin Height (m)  -
            Landuse
            City Population
            Basin Population  -
            Start Summary
            End Summary
            Source of Data
 44.81° N
122.91° W
102
92.3
Rural - Agricultural
Not In A City
2,163,767
July, 1982
October,  1986
AIRS (41-047-0004)

-------
                                             Marion County

                                           BASIC STATISTICS
  A.  BY YEAR (April through November).
        %Data %Vtlid
Year     Capt1   Days2   5
    Perceatiles and ArithmcUc Mean (ppb)
 10     25    50  Mean*ctd   75     90
            % noun t x (ppb)      Days i x
   95     60    60    100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
.
56
45
49
49
48
47
.
.
-
49
.
56
45
49
49
48
47
.
.
-
49 1
.
1
1
2
2
2
1
.
.

1
.
4
8
8
10
10
4
.
.
-
7
.
17
18
18
21
21
15
.
.
-
18
.
19.4*18
19.4*14
20.1±1S
22J*16
22£±17
18.6*17
.
.
-
20.5±16
.
30
28
29
32
32
28
.
.
-
30
.
42
38
40
43
45
41
.
.
-
42
.
50
46
46
49
53
52
.
.
-
49
.
3
2
2
2
3
3
.
.
-
2
.
1
0
1
1
1
1
.
.
-
1
.
'" 0
0
0
0
0
0
.
.
-
0
.
0
0
0
0
0
0
.
.
-
0
.
3
0
0
0
0
0
.
.
-
3
  B.  BY GROWING SEASON (May through October).
      %Data % Valid
Year    Capt    Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50  Mean±std  75    90
     S063  SQ8*     % hours i x (ppb)  Days i x
95   (ppm hr)    60   80   100  120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
.
95
88
96
97
94
94
.
.
-
94
.
95
89
97
98
95
93
.
.
-
94 1

1
1
2
2
1
1

.

1
.
2
8
8
2
10
4
.
.
-
7
.
15
17
18
21
21
15
.
.
-
18
.
18.2*18
19.2*14
20.1*15
22^*16
22.7*17
18.6*17
-
.
-
203*16
.
28
28
29
32
32
28
.
.
-
30
.
41
37
40
43
45
41
.
.
-
41
.
52
46
46
49
54
52
.
.
-
50
.
11
5
6
7
10
10
.
.
-
-
•.
4
1
3
2
2
3
.
.
-
-
.
3
2
2
2
3
3
.
.
-
3
.
1
0
1
1
1
1

.
-
1
.
0
0
0
0
0
0
-
-
-
0
.
0
0
0
0
0
0
.
.
-
0
.
3
0
0
0
0
. 0
.
.
•
3
  C  BY MONTH5.

      %Data % Valid
Month   Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10   25    50  Mean*std  75     90
     S06 SOS6     % hours * x (ppb)   Days t x
 95   (ppmhr)    60   80   100   120  120 ppb
Jsn ....... . .......
Feb - •- - - -- - - - -- ...
Mar ....... ........
Apr 39 39 2 6 16 29 26.9*14 38 45 47 10 000
May 93 92 5 9 18 28 273*15 37 45 50 21 210
Jim 94 94 1 4 12 21 2Z5±15 31 41 49 21 200
Jul 96 96 1 1 8 16 20.5*18 29 45 56 31 410
Aug 90 90 1 1 6 17 21.9*20 33 49 60 31 510
Sep 98 99 1 1 4 15 16.9*14 2635 42 11 100
Oct 94 94 1 1 1 10 123*11 212832 00 000
Nov 5 3 1 1 15 18 17.5*07 232528 00 000
Dec 	 	
1. % Data Capture - # valid noun / (total * hours in averaging period) * 100. Av. period BY YEAR - 8760 hrs; BY
2. % Valid Days - * days with 75 % of hours between 09:00 and 21 .-00 / (total * days) • 100 (Federal Register 1979).
3. Cumulative Index: S06 - I (Oj}/1000, where [Oj] is hourly ozone concentrations k 60 ppb (Lee et at 1988).
4. Cumulative Index: SOS - I [Oj]/1000, where [Ojj is hourly ozone concentrations t 80 ppb (Lee et al. 1988).
5. Statistics for monthly composites over the period of record.
6. Monthly estimate of 506(08) - S06(08) • (# hours in that month) / (# valid hours).
-
.
0
0
0
0
0
0
0
0
*
G.S. -





-
.
o -
0
0
0
3
0
0
0
•
4416 hrs.






-------
                                       Marion County


             DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS


A.  BY YEAR (March through November).

         % Days         Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure
 Year   Unclassified*    A3  A4  AS   A6  Bl  B2  B3  B4   B5   Cl   C2  C3  G4  C5  C6  D4  E5

1981
1982
1983
1984
1985
1986
1OQT
IQftfi

All Years

3
8
13
4
8
8


7

6
2
3
3
3
2


3

1
0
0
1
0
0


0

0
0
0
0
0
0


0

0
0
0
0
0
0


0

20
22
20
10
10
32


19

21
33
33
36
27
16


27

7
9
7
13
20
IS


12

1
1
0
1
1
0


0

0
0
2
2
1
3


1

9
6
3
2
4
8


6

18
15
19
16
21
14


17

13
10
12
15
11
8


12

2
1
1
1
3
2


2

1
0
0
0
0
0


0

0
0
0
0
0
0


0

1
0
1
0
1
0


0

0
0
0
0
0
0


0
B. BY GROWING SEASON (May through October).

        % Days         Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C.1)2
 Year   Unclassified7    A3  A4  AS   A6  Bl   B2   B3  B4   B5   Cl   C2  C3  C4   CS  C6  D4  ES

1981
1982
1983
1984
1985
1986
1087
1QRR
1989
All Years

3
8
13
4
7
8


-
7

3
1
3
3
3
2


-
3

0
0
0
1
0
0


-
0

0
0
0
0
0
0


-
0

0
0
0
0
0
0


-
0

23
23
20
10
10
32


-
20

20
34
33
36
27
16


-
28

6
8
7
13
19
15


-
12

1
1
0
1
1
0


-
0

0
0
2
2
1
3


-
1

11
6
3
2
4
8


-
6

20
15
19
16
21
14


-
18

12
10
12
15
11
8


-
11

2
1
1
1
3
2


-
2

1
0
0
0
0
0


-
0

0
0
0
0
0
0


-
0

1
0
1
0
1
0


-
0

0
0
0
0
0
0


-
0
C BY MONTH (composited over years).
        %Days
 Month  Unclassified7
  Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C1)2
A3  A4  AS   A6  Bl  B2  B3  B4   B5   Cl  C2  C3  C4   CS  C6  D4  ES
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
Z

.
0
3
7
10
9
7
6
4
0
•
% days with

.
0
23
11
3
0
1
1
0
0
-
unidentified
Pattern identifier relates

.
0 0
3 0
1 0
0 0
0 0
0 0
0 0
0 0
0 0
-

.
0
0
0
0
0
0
0
0
0
•
diurnal patterns in

.
0 0
9 23
0 34
10 38
21 25
12 20
21 32
SO 17
0 SO
-

.
0 0
17 0
27 2
13 0
13 0
16 1
2 0
0 0
0 0
-

.
0 0 100
009
213
1 3 12
4 3 21
1 2 28
0 8 26
0 16 16
0 SO 0
-

.
0 0
17 0
17 1
18 1
9 3
16 3
9 1
1 0
0 0
-

.
0 0
0 0
0 0
0 0
0 0
1 0
0 0
0 0
o o-
-

.
0
0
1
0
1
1
0
0
0
"

.
0
0
0
0
0
0
0
0
0
-
hourly ozone concentration (see Behm et al. 1990).
to degree of diurnal variation
greatest variation) and daily mean (1

illustrated in
Figure 4C1
. Note that
curves
due to
in hourly ozone concentrations
(A curves -
- lowest mean; 6 curves highest mean) as described by
numeric rounding, the
turns of percentages
least variation;
Behm et al
E curves -
(1990) and as
do not always equal 100.

-------
 g
"G
 cc
T3

CO
•O
C
CO
 C
 O

 -H
o
'*-"
co
                       MARION COUNTY



            DOMINANT DIURNAL PATTERNS IN HOURLY

              OZONE CONCENTRATIONS (MAY - OCT)
180
       90
                 B3
                                 180
                            90
           C2
        0    6    12    18   23
                             0    6    12   18  23
o
c
a
c
o
N
O
§
ffi
c
CO
o
s
180
 90
                 B1
180
                                  90
        06    12    18   23
B2
                             0    6    12    18   23
                          Hour of Day

-------
MEDFORD
        OREGON
         BIOGRAPHIC INFORMATION
        Latitude
        Longitude
        Elevation (m)
        Basin Height (m) -
        Landuse
        City Population
        Basin Population -
        Start Summary
        End Summary
        Source of Data
 42.27° N
122.81° W
503
425.5
Suburban - Residential
39,603
366,098
July, 1982
October, 1989
AIRS  (41-029-0010).

-------
                                                Medford
                                          BASIC STATISTICS
  A. BY YEAR.

        %Data  % Valid
Year    Capt'   Days2   5
    Percemiles and Arilhmetic Mean (ppb)
 10    25   50  Meaibtstd   75    90
            % hours i x (ppb)      Days & x
   95     60    80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
.
.
49
98
97
95
78
55
54
54
72
.
.
49
99
97
95
78
56
54
55
73
.
.
1
1
1
1
1
1
1
2
1
.
.
2
1
1
1
2
3
4
4
2
.
.
. 7
7
5
5
8
9
11
10
7
.
.
20
19
17
16
20
20
24
24
19
.
.
22.6*19
20.7*16
20.0±16
18.9*16
227*17
23.9*18
263*19
25.0*17
21.9*17
.
.
32
30
32
29
33
36
38
37
33
.
.
50
41
42
40
43
50
52
48
45
.
.
60
48
49
48
53
59
61
54
54
.
.
6
2
2
2
3
5
6
2
3
.
.
2
0
0
0
0
1
1
0
0
i
.'
0
0
0
0
0
0
0
0
0
.
-
0
0
0
0
0
0
0
0
0
.
.
0
0
0
0
0
0
1
0
1
 B.  BY GROWING SEASON (May through October).
      % Data % Valid
Year   Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10   25    50  Meaiustd 75     90
          SOS*     % hours t x (ppb)   Days s x
95   (ppm hr)    60   80   100   120  120 ppb
1980 -
1981
1982 64 64 1
1983 99 99 1
1984 96 96 2
1985 98 98 1
1986 91 90 1
1987 99 100 1
1988 99 99 1
1989 98 98 2
All Years 93 93 1
C BY MONTH5.
%Data % Valid
Month Capt Days 5
Jan 97 98 1
Feb 98 99 1
Mar 99 100 1
Apr 82 82 2
May 98 98 3
Jun 99 100 3
Jul 98 98 2
Aug 96 97 2
Sep 96 97 1
Oct 94 93 1
Nov 85 86 1
Dec 99 100 1
.
-
4
2
3
2
3
3
4
4
3

-
-
10 24
9 22
3 23
i 20
10 23
9 20
11 24
10 23
9 22

,
-
273*21 40
24.1*18 '36
25.2*18 37
223*17 33
253*18 37
24.1*19 36
26.6*19 39
24.7*17 37
24.8*18 37

.
-
55
48
49
46
50
51
53
48
50

.
-
69
57
57
54
60
60
62
54
59

Percentiles and Arithmetic Mean (ppb)
10
1
1
3
5
6
5
5
5
2
1
1
1
25 50
1 7
5 14
8 22
13 26
15 27
12 24
13 27
12 26
7 18
3 11
3 10
2 9
Mean*std 75
10.4*10 18
15.0*11 24
20.6*13 31
24.7*14 35
26J*15 37
25.9*17 37
28.6*19 41
29.4*21 44
223*18 33
167*15 26
137*11 22
113*10 19
1. % Data Capture - # valid hours / (total # hours in averaging period) '
90
27
30
37
42
46
48
56
59
48
39
30
27
' 100.
2. % Valid Days - * days with 75 * of hours between 09:00 and 21:00 / (total
3. Cumulative Index: S06 « Z
4. Cumulative Index: SOS - Z
[OjJ/1000,
[OjJ/1000,
where [Oj]
where [Oj]
5. Statistics for monthly composites over the period of
6. Monthly estimate of 506(08)
• 506(08) • (* hours
95
30
33
40
46
50
56
64
66
57
46
34
30
.
-
19
13
11
9
15
16
19
7
-

506
.
-
7
3
2
2
3
3
4
1
-

SOS*
(ppm hr)
0
0
0
1
2
2
4
5
3
1
0
0
0
0
0
0
1
1
1
2
1
0
0
0
Av. period BY YEAR
#days)«
is hourly ozone concentrations t 60
is hourly ozone concentrations £ 80
record.
in that month) / (#

valid

hours).
100
PPb
PPb


(Federal
.
-
9 3
4 1
4 0
3 P
5 1
5 1
6 1
2 0
5 1

% hours
60 80
0 0
0 0
0 0
0 0
2 0
3 0
7 1
9 2
4 1
1 0
0 0
0 0
• 8760 hrs;
.
-
0
0
0
0
0
0
0
0
0

t X
-
•
0
0
0
0
0
0
0
0
0

(PPb)
100 120
0
0
0
0
0
0
0
0
0
0
0
"0
BY
0
0
0
0
0
0
0
0
0
0
0
0
GS. -
.
.
0
0
0
0
0
0
1
0
1

Days £ x
120 ppb
0
0
0
0
0
0
0
0
1
0
0
0
4416 hrs.
Register 1979).
(Lee et al. 1988).
(Lee et al. 1988).











-------
                                             Medford
              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.

         % Days
  Year   Unclassified'
   Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990)-(Figure 4C1)2
A3  A4  AS  A6   Bl   B2  B3   B4   B5   Cl   C2  C3   C4  C5   C6  D4   ES
lOfil
17O1
1982
1983
1984
1985
1986
1987
1988
1989
All Years
B. BY

Year
1081
17O1
1982
1983
1984
1985
1986
1987
1988
1989
All Years
-
7
8
9
9
10
11
10
10
9
GROWING
% Days
Unclassified'
-
8
8
8
10
13
12
10
10
10

2
5
5
3
4
1
5
1
3


0
0
0
0
0
0
0
0
0
SEASON


0
0
0
0
0
0
0
0
0
(May


0 18 22 14
0 20 29 14
0 22 21 16
0 23 21 9
0 17 26 19
0 8 20 21
0 4 23 28
0 6 27 32
0 16 24 18
through October).
Percent occurrence of diurnal ozone
A3

2
4
4
1
4
1
4
1
3
A4


0
0
0
0
0
0
0
0
0
AS


0
0
0
0
0
0
0
0
0
A6 Bl B2 B3


0 5 20 22
0 7 25 23
0 6 21 32
0 11 25 17
0 7 22 32
0 8 19 22
0 3 21 31
0 6 25 32
0 7 22 27


0
0
0
0
1
2
0
1
0



10
2
1
2
3
4
8
1
3

patterns as
B4


0
1
1
0
0
2
0
1
1
B5


16
4
3
5
5
5
8
1
5


10
7
12
11
6
3
6
3
8

defined
Cl


2
5
6
7
6
3
6
3
5


14 9
16 7
10 10
18 12
12 10
26 13
17 6
18 10
16 10

by B6hm
C2 C3


17 14
21 9
13 14
21 12
12 9
25 12
17 7
19 11
18 11


1
1
1
1
2
2
1
1
1

etal
C4


2
2
2
1
3
3
1
1
2


1
0
0
0
0
0
0
0
0

(1990)
CS


1
0
0
0
0
0
0
0
0


0
0
0
0
0
0
0
0
0

(Figure
C6


0
0
0
0
0
0
0
0
0


0
0
0
0
0
0
2
0
0

4C1)2


0
0
0
0
0
0
0
0
0


D4 ES


0
0
0
0
1
0
2
0
0


0
0
0
0
0
0
0
0
0
C BY MONTH (composited over years).
         % Days
 Month  Unclassified'
   Percent occurrence of diurnal ozone patterns as defined by Bshm et al (1990) (Figure 4G1)2
A3 A4  A5   A6  Bl  B2   B3  B4   B5   Cl   C2  C3  C4   CS   C6  D4  E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
Z
7
7
7
8
13
9
10
8
11
9
8
8
% days with
3
1
10
9
11
2
0
0
2
1
4
2
unidentified
Pattern Identifier relates
0
0
0
0
0
0
0
0
0
0
0
0
diurnal
to degr
0 0 55 14 0
0 0 39 36 0
0 0 9 37 1
0 0 4 32 12
0 0 6 28 29
0 0 5 27 35
0 0 3 18 44
0 0 1 IS 38
0 0 8 25 11
0 0 18 21 0
0 0 44 22 0
0 0 60 14 0
0 0 22
0 0 14
005
101
1 3 2
0 1 1
0 10 1
1 13 0
1 4 7
0 0 18
0 0 24
0 0 18
5
10
29
14
10
10
9
12
30
38
5
5
patterns in hourly ozone concentration (see Bshm et
ee of diurnal variation in hoi
0 0
0 0
10 0
26 1
8 2
17 2
13 2
14 2
11 2
3 0
0 0
0 0
al. 1990).
iriy ozone concentrations (A curves
0
0
0
0
0
0
0
0
0
0
0
0

- least
0
0
0
0
0
0
0
0
0.
0
o'
0

variat
0
0
0
0
0
0
0
0
1
0
0
0

ion;E
0
0
0
0
0
0
0
0
0
0
0
0

curv
      greatest variation) and dairy mean (1 curves - lowest mean; 6 curves highest mean) as described by Bahm et al (1990) and as
      illustrated in Figure 4C1.  Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
CO
•g
                        MEDFORD


          DOMINANT DIURNAL PATTERNS IN HOURLY
            OZONE CONCENTRATIONS (MAY - OCT)
CO
T3
C
CC
C
o
+1

S
ex
180
 90
        0   6    12   18  23
180
 90
C2
                           pi 1111 in
                           0    6   12   18   23
c
o
o
a
o
c
o
N
O
^
I*
1
E
c
CO
0)


180



90

o
B2




! I t 1 1 I I I , ,
HH^iii^^^^^WfH
0 6 12 18 23

                               180
                                90
                                    B3
                                 0    6   12   18   23
                        Hour of Day

-------
ARCHES NATIONAL PARK
          UTAH
                 BIOGRAPHIC INFORMATION
                Latitude
                Longitude
                Elevation (m)
                Basin Height (m) -
                Landuse
                City Population
                Basin Population -
                Start Summary
                End Summary
                Source of Data
 38.78° N
109.60° W
1567
1323.1
Rural - Desert
Not In A City
645,599
October, 1987
June, 1989
National Park Service

-------
                                             Arches  National Park
                                               BASIC STATISTICS
  A.  BY YEAR (May through March).
         %Data % Valid
 Year     Capt;   Days2   5
     Pcrceoliles and Arithmetic Mean (ppb)
  10     25    SO  Mean*Ud   75     90
             % hours t x (ppb)      Days i x
   95     60     80    100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
-
-
14
56
20
30
-
-
15
58
19
30
-
-
23
28
21
26
-
-
25
30
32
29
-
.
30
35
38
35
-
-
34
41
45
40
-
-
33.9±07
41.6*09
43.7*12
40.9*10
-
-
38
48
51
48
-
.
42
53
57
54
•
-
45
57
61
57
-
-
0
3
6
3
-
.
0
0
0
0
-
.
0
0
0
0
-
.
0
0
0
0
-
.
0
0
0
0
  B.  BY GROWING SEASON (May through October).
       % Data  % Valid
Year     Capt    Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50  Mean*std  75     90
     S063  SOS*     % hours z x (ppb)   Days * x
95   (ppmhr)    60    80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
-
.
8
81
8
32
-
.
9
84
3
32
-
-
22
29
37
28
-
-
25
31
38
31
-
.
30
37
43
36
-
-
35
43
48
43
-
.
35.1*08
43.1*09
47.8*07
4Z8*09
-
.
40
49
53
49
-
.
47
55
57
54
-
-
49
58
59
58
-
.
0
9
1
-
-
.
0
0
0
-
-
.
0
4
4
4
-
.
0
0
0
0
-
.
0
0
0
0
-
.
0
0
0
0
-
.
0
0
0
0
  C  BY MONTH5.

       % Data % Valid
Month    Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50   Mean±std  75      90
      S06 SOS*      % hours t x (ppb)   Days t x
 95   (ppmhr)    60   80   100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
15
61
72
-
23
50
54
96
89
70
85
16
15
68
73
.
18
47
52
100
93
74
88
18
36
33
5
.
37
29
34
31
28
25
24
22 '
40
35
18
.
39
33
37
34
30
27
27
24
45
39
33
.
44
37
42
39
34
31
30
29
51
44
40
.
48
44
47
45
41
37
34
33
49.7*07
44.8*09
38.3*14
-
47.9*06
43.7*09
473*08
45.0*08
403*08
363*07
33.8*05
3Z5*06
55
50
46
-
52
49
54
51
47
41
38
37
59
56
52
-
57
56
58
56
51
46
40
40
60
59
58
-
59
60
61
60
54
48
42
41
4
2
3
-
2
3
4
3
1
0
1
0
0
0
1
.
0
0
0
0
0
0
0
0
8
5
4
.
3
6
8
5
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
• P
0
0
0
.
0
0
0
0
0
0
0
0
0
0
0
.
0
0
0
0
0
0
0
0
1.  % Data Capture - * valid hours / (total * hours in averaging period) • 100. Av. period BY YEAR - 8760 hrs; BY GS. - 4416 hrs.
Z  % Valid Days - * days with 75 % of hours between 0940 and 21:00 / (total * days) * 100 (Federal Register 1979).
3.  Cumulative Index  S06 - t [OjJAOOO, where [Oj] is hourly ozone concentrations t 60 ppb (Lee el al. 1988).
4.  Cumulative Index:  SOS - £ (OjJ/1000, where [<3j] is hourly ozone concentrations I 80 ppb (Lee et al. 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) «= S06(08) • (# hours in that month) / (# valid hours).

-------
                                       Arches National Park

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS

A.  BY YEAR (January through March, May through November).

          % Days           Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C.1)2
  Year    Unclassified7    A3  A4  A5   A6  Bl  B2   B3  B4   B5  Cl  C2  C3  C4  C5  C6  D4   E5
1OQSI
lOfll
1000
1OQ1
1OCM
1Ofi<

1O&7
1988
1989








10
3








5335000515200000000
50 303003 10 3000000000
All Years
          52   34
B.  BY GROWING SEASON (May through October).

         % Days          Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C1)2
 Year   Unclassified7    A3  A4  A5   A6   Bl   B2  B3  B4   B5   Cl   C2  C3   C4  CS  C6  D4   E5
 1980
 1981
 1982
 1983
 1984
 1985
 1986
 1987
 1988
 1989
13
47   42    000117200000000
All Years
13
47   42    0001    17200000000
C  BY MONTH (composited over years).
         %Dayi
 Month   Unclassified7
             Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C1)2
           A3  A4  AS  A6  Bl  B2   B3   B4   B5   Cl   C2  C3   C4   CS   C6  D4   E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
20 25 75
0 50 41
4 58 IS
.
12 0 86
11 35 47
0 18 76
32 27 60
11 75 12
5 94 0
0 87 0
.
% days with unidentified diurnal
Pattern identifier relates to degr
0 0
5 0
0 0
-
0 0
0 0
0 0
0 0
0 0
0 0
0 0
-
patterns in
0
0
0
-
0
0
0
0
0
0
0
-
0 0
5 0
12 12
.
0 0
0 6
0 0
0 0
0 0
6 0
13 0
-
0
0
4
.
14
6
6
13
6
0
0
-
0 0
0 0
0 0
.
0 0
6 0
0 0
0 0
6 0
0 0
0 0
•
0
0
0
-
0
0
0
0
0
0
0
-
hourly ozone concentration (see Behm et aL
ee of diurnal variation in hourly
ozone concentrations (
0 0
0 0
0 0
.
0 0
0 0
0 0 .
0 0
0 0
0 0
0 0
-
1990).
'A curves -
0
0
0
.
0
0
0
0
0
0
0
-

least
0
0
0
.
0
0
0
0
0
0'
o-
-

varial
0
0
0
.
0
0
0
0
0
0
0
-

ton;
0
0
0
.
0
0
0
0
0
0
0
-

E curv
      greatest variation) and dairy mean (1 curves • lowest mean; 6 curves highest mean) as described by Behm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the turns of percentages do not always equal 100.

-------
CO

'§
•o

•O
u-
co
•o

cc
e
o

-H
Q.
c
.o
"*3

2
o
c
o
N

O
§
c
CQ
                  ARCHES NATIONAL PARK



           DOMINANT DIURNAL PATTERNS IN HOURLY

              OZONE CONCENTRATIONS (MAY - OCT)
180
                   90
                            A4
                    0    6   12    18   23
                  180
90
          A3
                    0    6   12    18   23
                          Hour of Day

-------
BOUNTIFUL
          UTAH
          BIOGRAPHIC INFORMATION
         Latitude
         Longitude
         Elevation (m)
         Basin Height (m)
         Landuse
         City Population
         Basin Population
         Start Summary
         End Summary
         Source of Data
 40.90° N
111.88° W
1335
1230.8
Suburban - Commercial
32,877
1,154,361
January, 1980
September, 1989
AIRS (49-011-0001)

-------
                                                       Bountiful
                                                 BASIC STATISTICS
  A.  BY YEAR.

         %Data % Valid
 Year     Copt'   Days2    5
     Percentiles and Arithmetic Mean (ppb)
  10     25    50   Mean*std   75     90
             % hours 2 x (ppb)       Days i x
  95     60      80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
B. BY
%
67
94
94
91
93
92
94
89
96
54
87
67
94
93
91
94
91
94
89
96
55
86
GROWING
Data
Year Capt
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
53
89
99
92
99
92
99
99
94
56
87
% Valid
Days
53
89
99
92
99
92
98
99
94
58
87
0
0
0
0
4
1
1
4
4
4
1
0
1
2
3
6
5
2
7
6
6
4
SEASON
5
10
14
13
18
14
15
20
17
20
14
(May
21 23.1*20 36 48 57
26 26.7*20 40 51 61
29 29.5*20 43 54 63
27 27.2*18 39 49 58
31 31.6*19 42 54 65
30 30.0*20 43 54 63
30 30.0*20 42 55 64
34 33.8*19 46 58 65
31 31.6*19 43 55 64
4
5
6
4
7
7
7
8
7
37 35.7*21 48 60 71 10
30 29.8*20 42 54 63
through October).
Percentiles and Arithmetic Mean (ppb) S06?
5
3
5
5
6
11
7
9
9
12
17
8
10
8
11
11
11
17
14
16
16
19
24
14
25
19
23
23
22
17
25
26
29
29
35
25
50 Mean*std 75 90 95 (ppm
32 33.6*21 45 58 71 17
36 363*20 48 60 70 31
37 37.2*20 49 61 72 37
34 34.8*19 45 57 67 26
36 373*18 46 58 70 31
37 37.7*20 48 60 70 34
38 39.2*20 SO 62 74 43
40 403*18 51 63 71 41
40 41.1*19 51 63 74 42
45 46.1*19 55 69 79 35
38 383*20 49 62 72
7

SOS'
hr)
8
11
13
9
13
14
14
10
14
11
-
1
1
2
1
2
2
2
1
2
2
2

%
60
9
10
11
8
9
11
13
13
14
19
12
0
0
0
0
1
1
0
0
0
1
0

hours
80
3
3
3
2
3
3
3
. 2
3
5
3
0
0
0
0
0
0
0
0
0
0
0

i. x (ppb)
3
9
4
4
8
5
6
1
3
6
49

Days * x
100 120 120 ppb
1
1
1
0
1
1
1
0
1
1
1
0 3
0 9
0 4
0 4
0 7
0 5
0 6
0 1
0 3
0 6
0 48
  C  BY MONTH5.

       %Data  % Valid
Month    Capt    Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25     50   Mean*std  75     90
     S06  SOS*5      % hours t x (ppb)   Days t x
95   (ppm hr)     60    80   100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
90
97
90
88
98
85
87
97
95
99
91
85
89
97
89
88
98
85
87
98
95
99
91
84
0
0
4
11
13
20
IS
14
7
2
0
0
0
2
8
17
19
24
21
20
12
4
1
0
2
7
18
27
30
34
32
31
21
12
5
1
8
19
30
37
40
44
43
41
32
23
15
7
13.5*13
21.4*17
28.7*14
36.0*14
39.8*16
44.9*18
45.6*21
43.0*19
33.4*17
24.1*16
163*13
11.1*11
23
32
39
45
49
54
55
53
43
34
26
19
33
42
45
52
58
66
72
67
54
45
33
29
38
50
49
58
64
76
85
78
65
53
37
33
1
2
1
3
5
9
12
9
4
2
1
0
0
1
1
1
1
3
5
4
1
1
1
0
0
3
1
4
9
16
20
16
7
3
0
0
0
1
0
0
1
4
7
4
1
0
0
0
0
0
0
0
0
1
2
1
0
0
0
- 0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
1
0
3
8
22
11
4
0
0
0
1.  % Data Capture - * valid hours / (total * hours in avenging period) * 100. Av. period BY YEAR - 8760 hrs; BY G.S. - 4416 hrs.,
Z  % Valid Days - * days with 75 % of hours between 09:00 and 21:00 / (total # days) • 100 (Federal Register 1979).
3.  Cumulative Index: S06 - £ [OjJAOOO, where [Oj] is hourly ozone concentrations t. 60 ppb (Lee et aL 1988).
4.  Cumulative Index: SOS - Z (Oj]/1000, where (Ojj is hourly ozone concentrations 2 80 ppb (Lee et al. 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) - S06(08) • (# hours in that month) / (* valid hours).

-------
                                            Bountiful
              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.

         %Day8
 Year   Unclassified1
   Percent occurrence of diurnal ozone patterns as defined by Bahm et al (1990) (Figure 4C.1)2
A3  A4  AS  A6   Bl  B2  B3   B4   B5   Cl  C2  C3  C4   CS  C6  D4   E5
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
5
7
5
7 •
7
4
5
7
5
4
«
11
10
10
11
13
8
14
14
14
16
12
2
4
5
3
3
7
5
8
7
8
5
0
0
•2
0
1
3
3
2
2
8
2
0
0
0
0
0
0
0
0
0
0
0
23
18
12
16
9
13
16
8
9
4
13
14
17
17
23
21
17
18
15
20
10
18
8
7
10
8
12
9
6
10
8
11
9
4
9
10
10
16
13
12
20
11
11
12
2
6
8
9
8
6
8
11
10
9
8
12
7
6
7
3
5
4
3
5
6
6
15
12
14
9
5
14
8
6
9
11
10
5
6
4
3
6
3
3
2
3
4
4
1
3
1
1
2
2
2
0
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
0
1
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
1
0
B. BY GROWING SEASON (May through October).
         % Days
 Year   Unclassified'
   Percent occurrence of diurnal ozone patterns as defined by Bohm et al (1990) (Figure 4C.1)2
A3  A4  AS  A6   Bl   B2  B3   B4   B5   Cl  C2  C3  C4   CS  C6  D4   E5
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
7
6
3
9
3
5
4
8
6
3
5
10
13
8
10
10
6
11
9
11
11
10
4 '
7
10
5
4
10
9
12
15
16
9
1
0
3
0
2
5
5
4
5
16
4
0
0
0
0
0
0
0
0
0
0
0
3
3
5
3
2
2
1
2
1
0
2
14
13
12
17
19
16
14
8
13
1
13
18
11
15
14
17
13
8
15
13
16
14
9
17
16
17
23
20
17
28-
16
20
19
6
13
13
17
11
12
16
16
19
18
14
2
1
1
0
1
1
1
0
1
0
1
12
8
8
11
0
10
9
3
3
0
6
12
6
8
4
7
2
4
2
3
1
5
3
6
1
2
3
2
3
1
1
0
2
1
0
1
0
0.
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
2
1
0
2
1
1
0
0
0
1
1
0
0
0
0
0
1
0
0
1
0
C BY MONTH (composited over years).

         % Days         Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure
 Month   Unclassified'    A3  A4  AS   A6   Bl  B2  B3   B4   B5   Cl   C2  C3  C4   C5  C6  D4   E5
Jan
Feb
Mar
Apr
May
Jun
lul
Aug
Sep
Oct
Nov
Dec
1.
2.

5
6
8
8
5
1
4
8
10
4
5
5
4
11
30
30
11
6
7
10
15
10
4
4
% days with unidentified
Pattern identifier
greatest variation)
relates
0 0
0 0
1 0
8 0
19 2
15 8
10 11
9 3
2 0
1 0
0 0
0 0
0 37
0 12
0 2
0 0
0 0
0 0
0 0
0 0
0 2
0 9
0 33
0 64
17 0 0
23 2 1
31 6 6
13 13 20
9 15 26
5 9 29
2 13 18
4 16 29
26 20 11
31 7 2
32 1 0
16 1 0
0 22
1 10
1 2
6 0
13 0
22 0
28 0
20 0
5 0
0 4
0 17
0 13
17
35
12
2
0
0
1
0
5
29
12
2
2 0
2 1
8 0
6 2
3 1
1 3
2 5
3 3
12 1
6 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
1 0
1 0
0 0
0 0
0 
-------
                        BOUNTIFUL




          DOMINANT DIURNAL PATTERNS IN HOURLY

            OZONE CONCENTRATIONS (MAY - OCT)
I
*2
CO

I
•O
      180
      90
                A4
             .J^-H+WH^+H
       0    6    12    18   23
                                 90
                                           A3
                                  0    6    12    18   23
CO
•o
c
CO
+->
C/3

O
c
o

+l
o
T3

S
4-1


'§
C


6

O
c

8

o
 I
      180
       90
       180
       90
                B2
                  B5
         0    6    12  .18   23
                                 180
                                  90
                                 180
                                  90
                                           B3
                                   0    6    12    18   23
                                            B4
                                             H4-B
                                    0     6    12
                           Hour of Day

-------
LOGAN
          UTAH
       BIOGRAPHIC INFORMATION
      Latitude
      Longitude
      Elevation (m)
      Basin Height (m)
      Landuse
      City  Population
      Basin Population
      Start Summary
      End  Summary
      Source of Data
 41.75° N
111.83° W
1382
1382
Suburban - Residential
26,844
221,709
May, 1982
May, 1983
AIRS (49-005-0001)

-------
                                                        Logan

                                                BASIC STATISTICS
  A.  BY YEAR.
         %Data  % Valid
 Ycair     Capt1    Days2   5
     Percentiles and Arithmetic Mean (ppb)
  10     25   SO  Meaiustd    75     90
                                                % houn 2 x (ppb)      Days i x
                                     95     60      80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
..... ........
.....
58 59 3 7 18 28 28.8*16 40 50 55 3 0 0 0 0
29 30 2 S 15 30 25.7*14 3540 45 00000
..... ........
.
..... ........
........
.
.......
All Years   44
                  45
                                      15    30   27.7*15
                              40
                              50
         52
  B.  BY GROWING SEASON (May through October).
       % Data % Valid
Year     Capt    Days    5
   Percentiles and Arithmetic Mean (ppb)
 10    25    SO  Mean±std  75     90
                                        S063 SOS4      % hours t x (ppb)   Days i x
                                  95    (ppmhr)    60    80   100    120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
-
.
88
1
.
.
-
.
.
.
.
.
90
1
.
-
-
.
.
.
.
-
8
8
.
-
-
.
-
.
.
-
12 20
10 20
.
.
.
.
.
.
.
.
32 32^*15
35 29.5*11
.
.
.
.
.
.
.
-
45
38
-
-
-
-
.
.
.
-
52
40
.-
-
-
-
-
.
.
-
58
40
-
.
.
-
.
.
.
-
11
0
.
.
.
.
.
.
.
-
0
0
.
.
.
-
-
.
.
.
400
000
.
.
.
.
.
.
.
-
0 0
0 0
.
.
-
.
-
.
All Years  45
                 45
12
20
32  32^*15    45
52
                                                                      58
40000
  C  BY MONTH 5.

       %Data  % Valid
Month   Capt    Days   5
   Percentiles and Arithmetic Mean (ppb)
10    25     SO   Mean*std  75     90
                                         S06 SOS6      % hours i x (ppb)   Days £ x
                                   95    (ppm hr)     60   80    100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jut
Aug
Sep
Oct
Nov
Dec
97
77
78
97
32
93
96
95
96
93
97
67
97
79
81
100
32
97
100
94
97
94
97
71
0
3
10
15
18
20
15
15
5
2
0
0
0
5
15
20
20
25
20
20
10
4
2
3
3
13
25
30
30
31
25
30
18
10
S
8
10
27
30
40
35
40
35
40
25
18
13
20
14.0*12
23.7*12
29.4*10
36.0*10
37.2*13
39.9*12
37.1*14
384*14
25.0*12
183*12
15.4*11
18.0*11
25
33
38
45
48
SO
48
50
32
25
25
28
33
40
40
45
55
SS
55
58
40
35
30
32
35
40
40
SO
57
$8
60
60
48
40
35
35
0
0
0
0
2
2
4
S
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
4
7
9
1
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
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1.  % Data Capture - * valid houn / (total * boun in averaging period) • 100.  Av. period BY YEAR - 8760 hn; BY CS. - 4416 hn.
2.  % Valid Days - * days with 75 % of houn between 09:00 and 21:00 / (total 0 days) • 100 (Federal Register 1979).
3.  Cumulative Index: S06  - E [OjJ/1000, where [Oj] is hourly ozone concentrations i 60 ppb (Lee et al. 1988).
4.  Cumulative Index: SOS  - I [OjJAOOO, where [Oj] is hourly ozone concentrations t. 80 ppb (Lee et «L 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) - 506(08) • (# houn in that month) / (4* valid houn).

-------
                                             Logan

             DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.

         %Days
 Year   Unclassified'
   Percent occurrence of diurnal ozone patterns a*.defined by Bfihm et al (1990)-(Figure
A3  A4  AS  A6   Bl  B2   B3  B4   BS   Cl  C2  C3  C4  CS  C6  D4   E5
1OQA

1982
1983
1OA4
1Ofl{
lOftX
1OQT
lOftfi
IQfiQ
All Years


7
2





5


8200 10 22 14 2027 10 3 1 0000
28600122934068300000





IS 4 0 0 11 24 10 14 1 7 10 3 1 0000
B. BY GROWING SEASON (May through October).
         %Days
 Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C.1)2
A3  A4  AS   A6  Bl  B2   B3  B4   B5   Cl  C2  C3   C4  CS   C6  D4   E5
IQftfl
lOfil
1982
1983
1QR4
IQR^
IQRfi
1987
1988
1989
All Years


7
0




7


9 3 005 17 19 2632 10 4 1 0000
SO 0000000000 SO 00000




10 3 0 0 5 17 19 26 3 2 10 4 1 0000
C BY MONTH (composited over years).
         % Days
 Month  Unclassified1
   Percent occurrence of diurnal ozone patterns as defined by Bahm et al (1990) (Figure 4C.1)2
 A3  A4  AS   A6  Bl  B2  B3   B4  BS  Cl   C2  C3  C4   CS  C6  D4   ES
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
0
5
0
4
12
4
4
7
11
4
7
6
% days with
3
33
43
37
21
17
8
11
8
0
4
0
unidentified
Pattern identifier relates
0 0
0 0
0 0
22 0
0 0
12 0
0 0
4 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
diurnal patterns in
41 28 0 0
0 39 0 0
0 48 0 0
0 11 11 IS
0 0 29 43
0 4 12 33
0 8 42 35
0 4 26 44
8 SO 4 4
20 32 0 0
31 27 0 0
18 S3 0 0
0 21
0 0
0 0
0 0
0 0
8 0
4 0
4 0
0 0
0 12
0 27
0 18
7
28
5
0
0
0
0
4
21
32
12
12
0 0
0 0
S 0
4 0
7 0
8 4
0 4
4 0
4 0
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
o o-
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
hourly ozone concentration (see Behm et at 1990).
to degree of diurnal variation in hourly ozone concentrations
greatest variation) and daily mean (1

illustrated in
Figure 4C1
. Note that
curves
due to
- lowest mean; 6 curves
(A curves -
highest mean) as described by
numeric rounding, the sums of percentages
least variation;
Bahm et al
do not always equal 100.
E curves -
(1990) and as



-------
§
•g
T3
CO
•o
C

C/5

O
C


•H
a.
C
o
c

3
0)
o
N
O
c
CO
I
                          LOGAN


          DOMINANT DIURNAL PATTERNS IN HOURLY
             OZONE CONCENTRATIONS (MAY - OCT)
      180
      90
                A3
         IUHHH-H+H-f
        0    6    12    18   23
     180
      90
                B2
       0    6    12   18   23
                  180
                   90
                               180
                                90
C2
                                  -H-hH-
                                       -XK^
                                 0    6    12   18   23
                               180
                                90
B3
                                 0    6    12   18  23
                            B4
                    0    6    12   18  23
                         Hour of Day

-------
OGDEN
          UTAH
       BIOGRAPHIC INFORMATION
                  *
                   •
                   •
      Latitude
      Longitude
      Elevation (m)
      Basin Height (m) -
      Landuse
      City Population
      Basin Population -
      Start Summary
      End Summary
      Source of Data
 41.22° N
111.97° W
1314
1230.8
City Center - Commercial
64,407
1,154,361
January, 1980
November, 1982
AIRS (49-057-0001)

-------
                                                     Ogden

                                              BASIC STATISTICS
  A  BY YEAR.

        %Data  % Valid
Year     Capt7   Days2   5
    Percentiles and Aritbmetk Mean (ppb)
 10     25    50  Mean*std   75     90
             % hours £ x (ppb)      Days t x
   95     60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Yean
98
97
84
.
.
.
.
.
.
-
93
97
96
84
.
.
-
.
,
.
-
92
0
0
0
-
.
.
.
.
.
-
0
1
0
0
-
.
-
.
.
.
-
0
3
3
6
-
.
.
.
.
.
-
4
23
19
26
.
.
.
.
.
.
-
22
24.5*21
21.9±20
25.9*20
.
.
.
.
.
.
-
24.0±20
40
36
41
.
.
.
.
.
.
-
39
54
49
52
'.
.
.
.
.
.
-
52
61
58
58
.
.
.
.
,
.
-
59
6
4
4
.
.
.
.
.
.
-
5
1
0
1
.
.
.
.
.
.
-
1
0
0
0
.
.
.
.
.
.
-
0
0
0
0
.
.
.
.
.
.
-
0
0
0
0
.
.
.
-
.
.
-
0
  B.  BY GROWING SEASON (May through October).
      % Data  % Valid
Year    Capt    Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50  Mean*std  75     90
     S063 S08*     % noun * x (ppb)   Days * x
95   (ppm hr)     60   80   100   120  120 ppb
1980 97 96
1981 95 95
1982 98 97
1983
1984
1985
1986
1987
1988
1989
All Year* 97 96
C BY MONTH5.
%Data % Valid
Month Capt Days
Jan 91 90
Feb 99 98
Mar 99 99
Apr 97 97
May 97 96
Jun 93 92
Jul 94 95
Aug 98 97
Sep 98 98
Oct 99 99
Nov 84 83
Dec 100 100
1
1
0
.
.
-
.
-
-
-
0

5
0
0
0
1
1
1
2
1
0
0
0
0
1
1
1
.
, .
.
.
-
-
-
1

8 31
10 30
10 30
.
.
.
.
-
-
-
9 30

Percentiles and
10 25 50
0
0
1
2
2
4
5
2
1
0
0
0
1. % Data Capture - # valid hours
Z % Valid Days - * days with 75 '.
3. Cumulative Index S06 - I (Oj)/
1 8
1 13
10 26
17 35
18 36
20 38
20 40
12 36
4 22
1 12
1 4
1 3
30.7±23
29.5*21
29.3*21
.
.
.
.
.
.
-
29.8*22

49 60
44 58
45 56
.
.
.
.
-
-
-
46 58

Arithmetic Mean (ppb)
Mean*std 75 90
113*12
16.3*16
23.4*15
31.6*18
3Z&tl9
35.9*21
38.0*22
33.8*23
23ftt20
15.5*16
10.5*12
7.5*09
22 30
29 38
36 41
45 53
47 56
50 60
53 65
52 63
38 51
27 37
20 30
13 21
68
64
63
.
.
.
.
-
-
-
65

95
33
44
44
57
60
69
74
69
60
44
34
26
31 6
25 4
21 4
.
.
.
.
-
-
-
-

S06 SOS*
(ppm hr)
0 0
1 0
1 0
2 0
3 0
6 2
9 2
7 1
3 1
1 1
0 0
0 0
10 2
8 1
7 1
.
.
.
.
-
-
-
8 1

% hours
60 80
0 0
1 0
0 0
3 0
5 0
11 2
16 3
14 2
5 0
1 0
0 0
0 0
0
0
0
.
.
-
.
-
-
-
0

0
0
0
.
.
.
-
-
-
-
0

t x (ppb)
100 120
0
0
0
0
0
0
0
0
0
0
0
0
/ (total * hours in avenging period) • 100. Av. period BY YEAR - 8760 hrs; BY
fc of hours between 0930 and 21:00 / (total * days) • 100 (Federal Register 1979).
1000, where [Oj] b hourly ozone concentrations t 60 ppb (Lee et at. 1988).
0
0
0
0
0
0
0
0
0
0
0
0
G.S. -
0
0
0
.
.
.
.
-
-
-
0

Days * x
120 ppb
0
0
0
0
0
0
0
0
0
0
0
0
4416 hrs.
4.  Cumulative Index: SOS - Z [OjJ/1000, where [Oj] is hourly ozone concentrations t 80 ppb (Lee et at 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) « 506(08) • (* hours in that month) / (* valid hours).

-------
                                                Ogden

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.

         % Days
  Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bahm el al (1990> (Figure 4C.1)2
A3  A4  A3   A6   Bl  B2   B3  B4   B5   Cl  C2  C3   C4  C5   OS   D4   E5
1980
1981
1982
lOftl

•if:
IQfiX


IQftO
All Years
4
3
3






3
8200 16 96819 IS 9 16 0010
6 2 0 0 17 10 S 7 0 14 14 14 11 0000
9 3 0 0 6 13 9 7 2 10 17 10 13 0 0 1 0






8 2 0 0 13 11 7 7 1 11 15 11 13 0 0 1 0
B.  BY GROWING SEASON (May through October).
         % Days
 Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bahm et al (1990) (Figure 4C.1)2
A3  A4   AS   A6   Bl  B2   B3  B4   B5   Cl  C2   C3   C4  CS  C6   D4   E5
1980
1981
1982
10R1
lOfijl
ios<;
10RX
1987
IQftft
1989
All Years
. 3
3
3






-
3
7300337 12 2
8300288 13 0
5 5 0 0 5 11 11 11 3






	
7 4 00379 12 2
3 16 14 28 0 0
5 11 19 21 0 0
3 14 12 20 0 0






	
4 14 15 23 0 0
1 0
1 0
1 0






•
1 0
C  BY MONTH (composited over years).
         % Days
 Month   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bohm et al (1990) (Figure 4G1)2
 A3  A4   A5   A6   Bl   B2  B3   B4   B5   Cl   C2  C3  C4   CS   C6  D4   E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
Z
4
1
7
6
6
4
4
3
0
2
0
3
3
7
21
16
11
8
7
7
5
2
1
0
% days with unidentified
Pattern identifier
relates
0
0
1
S
7
5
9
1
0
0
0
0
diurnal
to degr
0 0 45 26 0
0 0 9 12 0
0 0 2 24 4
0 0 0 10 22
0 0 0 6 14
0 0 0 S 11
0 0 0 1 16
00009
0 0 2 21 5
0 0 16 10 0
0 0 31 8 0
0 0 72 3 0
0
0
0
9
17
21
13
21
1
0
0
0
0 18
0 27
0 4
0 0
1 0
4 0
5 0
2 0
0 0
0 21
0 47
0 25
900
44 0 0
24 18 1
4 20 14
1 15 26
0 16 29
0 9 38
0 17 41
28 31 7
49 1 0
12 0 0
000
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
o"
0
0
0
0
0
0
1
2
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
patterns in hourly ozone concentration (see Bohm et aL 1990).
ee of diurnal variation in ho
urty ozone concentrations (A curves
- least
variat
ion; E
curv
      greatest variation) and daily mean (1 curves • lowest mean; 6 curves highest mean) as described by Bahm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the sums of percentages do not always equal  100.

-------
                          OGDEN


          DOMINANT DIURNAL PATTERNS IN HOURLY
             OZONE CONCENTRATIONS (MAY - OCT)
c
o
1
03
T3
C
03
4—>
10

O
C
o

+1
JD
CL
£-


O
•••«
4-1
03
i-
4->
C

o
C

6
c
8
o
c
(0
o
      180
       90
      180
      90
      180
      90
A3
        0    6    12   18   23
B4
        0    6   12   18  23
                 12   18  23
                90
                                           B3
                  0    6   12   18   23
                                 180
                90
C2
                                   •H-H+
                        -XN^
                  0    6   12   18  23
                180
                90
C4
                           12   18   23
                         Hour of Day

-------
PROVO
          UTAH
       BIOGRAPHIC INFORMATION
      Latitude
      Longitude
      Elevation (m)
      Basin Height (m) -
      Landuse
      City Population
      Basin Population  -
      Start Summary
      End Summary
      Source of Data
 40.25° N
111.66° W
1402
1384.6
City Center - Commercial
74,108
1,154,361
June, 1983
September, 1989
AIRS (49-049-0002)

-------
                                                        Provo
                                               BASIC STATISTICS
  A.  BY YEAR (April through October).
         % Data % Valid
Year     Capt1   Days2   5
     Percentiles and Arithmetic Mean (ppb)
 10     25    SO  Mean±std   75     90     95
             % hour* £ x (ppb)      Days t x
          60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
-
.
20
28
51
47
38
44
38
38
-
.
19
28
51
47
38
44
38
38
-
.
1
3
1
5
2
2
3
2
-
.
4
6
3
7
6
4
6
5
-
.
12
13
13
16
15
12
15
14
-
.
27
27
28
30
31
29
32
30
-
.
31.9*24
312*22
30.7*21
332*21
33.1*21
31.7*22
32.8*20
311*21
-
.
48
48
46
49
51
49
49
49
-
.
65
61
60
63
62
62
59
61
-
.
76
69
67
70
66
69
64
68
-
.
14
12
11
13
13
13
10
12
-
.
4
2
2
2
1
2
1
2
-
.
1
0
0
0
0
0
0
0
-
.
0
0
0
0
0
0
0
0
•
.
2
0
0
0
0
0
1
3
  B.  BY GROWING SEASON (May through October).
       %Data  % Valid
Year    Capt    Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50   Mean±std   75     90
     S063  SOS*      % hours £ x (ppb)   Days i x
95   (ppm hr)    60    80   100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
-
.
39
55
93
89
74
81
74
72
-
.
39
55
93
89
74
82
74
72
-
.
1
3
1
5
2
2
3
2
-
.
4
6
3
7
6
4
6
5
-
.
12
6
12
16
15
12
15
14
-
-
27
27
27
30
31
28
32
29
-
.
31.9±24
31.2*22
30.6*22
33-5*21
33.0±21
31.5*22
323*20
311*22
-
.
48
48
47
49
51
49
49
49
-
-
65
61
60
63
62
63
60
62
-
.
76
69
67
71
66
69
64
68
-
.
18
21
32
38
28
33
23
-
-
-
6
4
7
7
2
6
3
-
-
-
14
12
11
14
13
13
10
12
-
-
4
2
2
2
1
2
1
2
-
-
1
0
0
0
0
0
0
0
-
.
0
0
0
0
0
0
0
0
-
.
2
0
0
0
0
0
1
3
  C  BY MONTH5.
% Data
Month Capt
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
-
.
24
90
86
86
99
78
55
.
-
% Valid
Days 5
-
.
24
90
87
85
100
79
55
.
•
•
.
2
5
6
6
3
1
0
-
•
Percentiles and Arithmetic Mean (ppb)
10 25 50 Mean*std 75 90
-
.
6
9
10
9
5
2
1
.
-
-
.
18
19
19
17
13
8
3
.
-
-
.
34
37
35
32
29
21
10
-
-
-
.
31.9*17
35.4*19
36.2*21
35.6*22
32J*22
253*20
17.9*18
.
•
-
.
45
51
52
52
50
40
31
-
-
-
.
S3
60
64
65
63
54
45
-
•
95
-
.
59
64
71
73
71
60
52
-
•
S06 SOS*
(ppm hr)
-
.
3
6
8
9
8
3
1
-
•
-
.
1
1
2
3
2
1
1
-
-
%
60
-
.
5
11
16
17
14
5
2
-
•
hours
80
-
.
0
1
2
3
2
1
0
-
-
i x (ppb) Days t x
100 120 120 ppb
•
.
0
0
0
1
0
0
0
-
-
-
.
0
0
0
0
0
0
0
.
-
•
.
0
0
0
1
1
1
0
-
•
1.  % Data Capture - * valid hours / (total # hours in averaging period) • 100. Av. period BY YEAR - 8760 hr*; BY G.S. - 4416 hrs.
Z  % Valid Days - * days with 75 % of hours between 0930 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index:  806 - Z [Oj)/1000, where [Oj] is hourly ozone concentrations i 60 ppb (Lee et at. 1988).
4.  Cumulative Index:  SOS - Z [
-------
                                                Provo


              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS

A.  BY YEAR (April through October).

          % Days           Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990)- (Figure 4C1)2
  Year    Unclassified7    A3  A4  AS   A6   Bl  B2   B3  B4   BS   Cl  C2  O   C4  CS   C6   D4  ES
1OQA
lOfil
1QOO
1983
1984
1985
1986
1987
1988
1989
All Yean



3
3
S
4
5
5
7
5



3
4
4
6
2
3
2
3



0
0
1
1
3
0
1
1



0
0
0
0
0
0
0
0



0
0
0
0
0
0
0
0



0
0
2
1
2
0
1
1



3
5
6
8
5
3
3
5



9
13
11
10
10
8
18
11



8
5
8
13
9
10
12
9



6
2
3
4
2
2
1
3



3
0
1
1
1
1
0
1



5
8
14
6
7
16
3
9



41
29
17
21
24
23
30
25



20
33
32
30
34
32
28
31



0
0
1
0
0
0
0
0



0
0
0
0
0
0
0
0



2
0
1
0
0
1
1
1



0
0
0
0
0
0
0
0
B.  BY GROWING SEASON (May through October).

          % Days           Percent occurrence of diurnal ozone patterns as defined by Bohm et a) (1990) (Figure 4C.1)2
 Year   Unclassified'    A3  A4  AS   A6   Bl   B2   B3  B4   B5   Cl  C2  C3   C4  CS  C6   D4  E5
lOftA
tQftl
1QR9
1983
1984
1985
1986
1987
1988
1989
All Years



3
3
4
4
5
5
7
5



3
4
2
5
2
2
2
3



0
0
1
1
3
0
1
1



0
0
0
0
0
0
0
0



0
0
0
0
0
0
0
0



0
0
2
1
2
0
1
1



3
5
6
7
5
4
3
5



9
13
12
10
10
8
18
12



8
5
6
13
9
9
12
9



6
2
3
5
2
2
1
3



3
0
1
1
1
1
0
1



S
8
IS
7
7
17
3
9



41
29
17
20
24
22
30
24



20
33
32
31
34
33
28
31



0
0 .
1
0
0
0
0
0



0
0
0
0
0
0
0
0



2
0
1
0
0
1
1
1



0
0
0
0
0
0
0
0
C  BY MONTH (composited over years).
         %Dayt
 Month   Unclassified'
   Percent occurrence of diurnal ozone patterns is defined by Behm et al (1990) (Figure 4C.1)2
A3  A4   AS   A6   Bl   B2  B3   B4   BS   Cl   C2  C3  C4   CS   C6  D4   ES
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
-
.
10
5
4
6
4
5
3
.
•
% days with
-
.
26
2
4
3
1
5
0
.
-
unidentified
Pattern identifier relates
-
..
0
3
2
0
0
0
0
-
-
diurnal
to degr
-
.
0 0
0 0
0 0
0 0
0 0
0 0
0 0
.
-
patterns in
.
...
044
0 4 17
0 3 14
0 6 16
0 4 10
2 8 S
693
...
.
.
.
IS 0 0
IS 2 0
11 4 0
8 S 0
12 4 1
2 1 1
008
...
.
-
...
0 30 22
0 22 34
0 IS 45
1 17 43
2 32 34
24 44 7
69 S 0
.
-
-
.
0
0
0
1
0
0
0
.
-
-
.
0
0
0
0
0
0.
o

-
-
.
0
0
1
1
0
2
0
.
-
-
.
0
0
0
0
0
0
0
.
-
hourly ozone concentration (see B6hm et al. 1990).
ee of diurnal variation in ho
urty ozone concentrations (A curves
- least
virial
;ion;
E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by B&hm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the turns of percentages do not always equal  100.

-------
c
o
                         PROVO


         DOMINANT DIURNAL PATTERNS IN HOURLY

            OZONE CONCENTRATIONS (MAY - OCT)
•o

•o
i-l
CC
*o
c
a
•4—1
W

O
C
O

•H
cx
3?

o
     180
      90
               B4
                 J | T t I
                 1 I 1 It
            6    12   18  23
                               180
                                90
B3
                                           12
      18   23
o
o
I
O
o
2
     180i
      90
                      18   23
                                                18   23
                         Hour of Day

-------
SALT LAKE CITY
          UTAH
             BIOGRAPHIC INFORMATION
            Latitude
            Longitude
            Elevation (m)
            Basin Height (m) -
            Landuse
            City Population
            Basin Population -
            Start Summary
            End Summary
            Source of Data
 40.76° N
111.89° W
1305
1230.8
City Center - Commercial
163,697
1,154,361
January, 1980
September, 1989
AIRS (49-035-3001)

-------
                                                   Salt Lake City

                                               BASIC STATISTICS
  A.  BY YEAR.

         %Data % Valid
Year     Capt7   Days2    5
     Peroentiles and Arithmetic Mean (ppb)
 10     25    50  Meaittcld   75      90
             % hours l x (ppb)      Days z x
  95     60     60     100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
98
99
75
47
45
69
95
94
65
65
75
97
98
75
47
46
69
95
95
66
65
75
0
2
1
2
2
2
1
1
2
0
1
2
2
2
4
3
2
1
2
2
1
2
5
S
8
13
12
6
4
6
4
7
6
24
15
23
27
26
20
16
18
16
25
20
29.1*25
21.0*19
25.5*20
283*20
28.6*21
24.9*22
21.0*20
22.4*19
21.2*20
253*20
24.4*21
48
33
39
40
42
39
33
35
32
40
38
64
48
52
52
55
53
48
50
50
51
53
73
57
61
61
66
64
58
58
62
59
63
13
4
6
6
7
7
5
5
6
5
6
3
1
1
2
2
2
1
1
1
1
2
1
0
0
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
15
3
4
4
3
10
4
1
2
3
49
  B.  BY GROWING SEASON (May through October).
       % Data  % Valid
Year    Capt    Days    5
  Percentilcs and Arithmetic Mean (ppb)
10    25     50   Meaimtd  75      90
95
          SOS*     % hours i x (ppb)   Days 2 x
     (ppm hr;    60    80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
98
99
91
84
85
98
91
95
56
70
87
97
99
91
83
86
98
92
97
58
71
87
1
2
2
2
1
2
3
2
3
2
2
3
3
4
4
3
3
4
3
4
4
4
12
9
12
13
3
11
11
9
12
15
11
35
25
28
26
26
28
27
26
30
35
28
37.0±27
28.0*21
29.9*22
28.6*20
283*21
29.8*23
29.5*21
28.7*21
32.5 ±23
323*20
30.4*22
56
42
45
40
42
44
43
45
48
46
45
72
56
57
53
56
58
58
57
63
57
59
82
65
67
62
68
69
68
65
72
65
70
71
25
27
19
22
31
28
24
24
19
-
25
9
9
8
9
12
10
6
8
4
-
21
8
9
6
8
9
9
8
13
8
10
6
2
2
2
2
3
2
1
3
1
3
2
0
1
1
1
1
1
0
1
0
1
1
0
0
0
0
0
0
0
0
0
0
15
3
4
4
3
10
4
1
2
3
49
  C  BY MONTH 5.

       %Data  % Valid
Month    Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50   Mean*std  75     90
     S06  SOS*      % hours t x (ppb)   Days j x
95   (ppm hr)     60   80   100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jut
Aug
Sep
Oct
Nov
Dec
85
98
92
79
91
95
90
94
99
69
99
99
83
97
93
77
92
96
69
95
100
69
99
99
0
0
1
1
3
4
5
3
1
1
1
0
1
1
2
3
6
8
6
5
2
2
1
1
2
3
6
13
16
18
18
15
6
3
3
2
4
10
20
30
33
34
35
31
19
8
7
4
93*10
15.1*14
21.1*16
283*18
32.9*20
35.6*22
373*25
33.4*23
23.0*19
15.1*16
113*11
7.7*08
15
25
33
42
46
49
51
48
36
25
19
12
26
35
42
51
58
63
69
62
49
38
27
21
30
42
48
59
65
75
82
73
57
45
31
26
1
1
1
3
5
7
10
7
3
1
1
0
0
1
1
1
1
3
5
3
1
1
0
0
0
1
1
5
9
13
17
12
4
2
0
0
0
0
0
0
1
4
6
3
1
0
0
0
0
0
0
0
0
1
2
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
2
10
26
10
1
0
0
0
1.  % Data Capture -  # valid hours / (total # hours in averaging period) • 100.  Av. period BY YEAR - 8760 hrs; BY G.S. - 4416 hrs.
2.  % Valid Days - # days with 75 % of hours between 09:00 and 21:00 / (total # days) • 100 (Federal Register 1979).
3.  Cumulative Index:  $06 • Z [OjJ/1000, where (OjJ is hourly ozone concentrations t 60 ppb (Lee et al. 1988).
4.  Cumulative Index  SOS - 1 [O_j)/1000, where |Ojj is hourly ozone concentrations £ 80 ppb (Lee et al. 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of $06(08) - $06(08) • (* hours in that month) / (# valid hours).

-------
                                         Salt Lake City

             DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A  BY YEAR.

         % Days
 Year   Unclassified'
   Percent occurrence or diurnal ozone patterns as defined by Btihm et al (1990) (Figure 4C.1)2
A3  A4  AS  A6  Bl  B2   B3  B4   B5  Cl  C2 C3  C4   CS  C6  D4   ES
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
5
5
3
5
2
4
4
4
3
5
4 .
6
3
4
5
3
3
6
6
1
10
5
5
1
1
0
1
0
1
1
1
1
1
3
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
16
21
9
2
1
20
21
20
25
11
16
7
11
12
15
11
8
12
12
9
7
10
4
6
7
11
12
8
3
8
5
12
7
7
3
8
5
6
10
5
5
6
10
6
5
1
2
1
1
3
1
3
3
1
2
8
10
11
1
3
9
15
10
17
8
10
12
16
10
9
14
8
11
11
13
12
12
8
17
19
31
27
16
12
14
6
17
15
17
10
14
17
18
10
10
9
11
8
12
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
1
3
4
3
4
2
1
2
2
2
1
0
0
0
0
0
0
0
0
0
0
B. BY GROWING SEASON (May through October).
         % Days
 Year   Unclassified'
   Percent occurrence ot diurnal ozone patterns as defined by Bbhtn el al (1990) (Figure 4C.1)2
A3  A4  A5   A6   Bl  B2   B3  B4   B5   Cl  C2  C3  C4   C5  C6  D4   E5
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
3
5
4
5
3
4
4
2
3
6
4
4
3
1
5
3
2
8
6
2
12
5
4
1
1
0
1
1
1
2
2
3
2
5
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
3
3
6
2
1
4
2
5
1
2
3
3
10
9
13
11
9
13
7
3
4
9
4
11
10
11
12
12
6
12
12
17
10
12
5
13
6
6
12
10
8
14
13
10
8
2
4
1
1
4
2
4
7
3
3
4
5
3
1
3
6
6
4
6
0
4
10
14
8
8
14
12
11
12
8
6
11
11
23
20
30
28
18
17
23
12
23
21
26
19
21
19
19
14
20
15
27
13
19
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
5
3
4
4
3
6
4
2
5
4
4
1
0
0
0
0
0
0
0
0
0
0
C BY MONTH (composited over years).
         % Days
 Month   Unclassified'
   Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C1)2
 A3  A4  AS   A6  Bl  B2  B3  B4  B5   Cl  C2  C3   C4  C5  C6  D4  E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
1
5
6
5
4
4
5
4
4
3
5
4
% days with
1
6
11
10
7
4
4
5
4
2
1
1
unidentified
Pattern identifier relates
0 0
0 0
3 0
4 1
3 0
1 1
2 2
2 0
0 0
0 0
0 0
0 0
0
0
0
0
0
0
0
0
0
0
0
0
diurnal patterns in
54 8 0 0
20 12 1 0
7 23 3 1
0 14 9 8
1 10 17 14
0 3 14 14
0 6 13 12
0 4 10 13
5 17 3 1
15 12 0 0
55 11 1 0
77 7 0 0
0 32
0 30
0 12
1 1
4 0
6 0
8 0
3 1
0 3
0 28
0 24
0 14
5
29
26
12
2
1
1
1
28
40
8
1
0 0
1 1
12 2
32 8
21 18
19 31
13 29
30 25
32 5
3 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
1
4
9
6
2
1
0
0
0
0
0
0
0
0
1
0
0
0
0
0
hourly ozone concentration (see B&hm et al. 1990).
to degree of diurnal variation in hourly ozone concentrations
greatest variation) and daily mean (1

illustrated in
Figure 4C1
. Note that
curves
due to
• lowest mean; 6 curves
highest mean) as
numeric rounding, the sums of percentages
(A curves -
described by
least variation;
B&hm et al
do not always equal 100.
E curves -
(1990) and as



-------
                      SALT LAKE CITY


          DOMINANT DIURNAL PATTERNS IN HOURLY

             OZONE CONCENTRATIONS (MAY - OCT)
co
co
TD
C
CO
+->
(A


-------
CEDAR RIVER
      WASHINGTON
           BIOGRAPHIC INFORMATION
          Latitude
          Longitude
          Elevation (m)
          Basin Height (m)
          Landuse
          City Population
          Basin Population
          Start Summary
          End Summary
          Source of Data
 46.39° N
121.97° W
210
5.5
Rural
Not In A City
2,240,288
April, 1986
September, 1988
EPRI

-------
                                                    Cedar River
                                               BASIC STATISTICS
  A.  BY YEAR.

        %Data % Valid
Year     Capt*   Days2    5
     Percentiles and Arithmetic Mean (ppb)
 10     25    SO  Meaimtd   75     90
              % hours i x (ppb)       Days t x
   95     60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
.
.
65
83
38
-
62
-
.
66
83
38
-
62
.
-
10
10
11
-
10
•
.
13
13
14
-
13
.
.
19
20
19
-
19
-
..
27
27
29
•
27
.
.
29.5*15
28.9*14
322*19
•
29.8±16
.
-
38
35
40
-
37
-
-
48
46
55
-
48
-
.
55
57
66
" -'v.
58
-
-
4
4
7
-
5
-
.
1
1
2
-
1
-
-
0
0
1
•
0
.
.
0
0
0
-
0
-
.
2
1
3
-
6
  B.  BY GROWING SEASON (May through October).
       % Data  % Valid
Year    Capt    Days    5
  Percentiles and Arithmetic Mean (ppb)
10    25    50  Meaiusld  75     90
     S063  SOS4     % hours i. x (ppb)   Days t x
95   (ppm hr)     60   80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
.
.
88
90
68
-
82
-
.
89
90
67
-
82
.
.
11
11
11
-
11
.
.
14
13
13
-
14
.
.
20
19
19
-
19
-
.
29
28
28
-
28
•
.
31.0±16
31.2*17
311*19
- -
31.4*17
.
.
38
39
40
-
39
.
.
50
53
55
-
53
-
.
60
64
66
-
64
.
.
16
20
s 19
'
-
-
.
5
6
8
-
-
-
.
5
7
8
-
7
.
.
1
1
3
-
2
-
.
0
0
1
•
0
-
.
0
0
0
•
0
-
.
2
1
3
•
6
  C  BY MONTH5.

       %Data  % Valid
Month    Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    SO   Mean*std  75     90
      S06 S08*      % hours ^ x (ppb)   Days z x
 95   (ppm hr)    60    80   100    120   120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jut
Aug
Sep
Oct
Nov
Dec
89
54
97
98
69
87
83
98
88
98
100
59
90
52
97
99
70
88
85
98
88
97
100
58
12
8
14
16
15
14
10
10
12
9
4
7
15
12
15
20
19
16
13
13
14
11
5
11
21
19
21
27
26
22
18
19
19
16
12
17
25
24
26
36
35
31
26
29
26
24
23
21
24.1*06
22.7*07
263*08
35.7*13
36.2*15
34.4*18
29.9*17
33.1*19
29.1*17
24.5*10
20.4*10
20.8*08
28
28
32
44
45
41
38
43
35
33
28
25
31
30
37
49
S3
60
S3
60
46
37
31
30
33
32
40
S3
62
70
63
71
59
42
33
36
0
0
0
2
4
6
4
6
3
1
0
0
0
0
0
1
1
2
2
3
2
0
0
0
0
0
0
2
6
10
7
10
5
0
0
0
0
0
0
1
1
2
1
3
2
0
0
0
0
0
0
0
0
0
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
1
2
0
0
0
1.  % Data Capture - * valid hours / (total # hours in averaging period) * 100. Av. period BY YEAR - 8760 hrs; BY G.S. - 4416 hrs.
2.  % Valid Days - * days with 75 % of hours between 09:00 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index:  S06 - I (OjJ/lOOO, where |Oj] is hourly ozone concentrations t 60 ppb (Lee et al. 1988).
4.  Cumulative Index  SOS - X [Ojj/1000, where J0j] is hourly ozone concentrations z 80 ppb (Lee et al. 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of S06(08) * 506(08) • (# hours in that month) / (* valid hours).

-------
                                            Cedar River
              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A  BY YEAR.

         % Days
 Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C.1)*
A3  A4   AS   A6  Bl  B2   B3  B4   BS   Cl   C2  C3   C4   CS  C6  D4   E5
lOfift
1081
1OO'}

1QCM
lOfiC
1986
1987
1988
IQfiO
All Years






5
5
7
5






20
22
13
20






4
0
2
2






2
0
1
1






1
0
2
1






10
7
3
7






40
41
38
40






8
13
21
13






7
4
2
5






6
10
14
9






0
0
0
0






1
0
1
1






1
1
2
1






0
0
1
0






1
0
1
1






0
0
0
0






0
0
0
0






0
0
0
0
B. BY GROWING SEASON (May through October).
         % Days          Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C.1)2
 Year   Unclassified7    A3  A4  AS   A6   Bl  B2  B3   B4   B5  Cl   C2  C3   C4  C5   C6  D4   E5

iqoi
10R7

1QR4
i OQC
1986
1987
1988
1989
All Years






6
5
7
6






20
14
9
15






3
0
1
1






3
0
1
1






2
0
2
1






7
5
4
5






39
36
38
37






8
20
23
17






7
6
3
6






8
16
15
13






0
0
0
0






1
1
1
1






2
1
2
2






0
0
1
0






1
1
1
1






0
0
0
0






0
0
0
0






0
0
0
0
C  BY MONTH (composited over years).
         % Days
 Month   Unclassified'
   Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C.1)2
 A3  A4  AS  A6   Bl  B2   B3  B4   BS   O   C2  C3   C4  C5  C6  D4   £5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
0
0
3
7
13
5
6
3
4
7
4
0
% days with
33
31
28
39
28
13
9
3
14
30
22
17
unidentified
Pattern identifier relates
0
0
0
12
4
2
0
1
0
0
0
0
diurnal
to degr
0 0 7 59 0
0 0 15 54 0
0 0 3 66 3
1 0 0 16 15
0 2 0 13 26
2 1 2 30 18
0 1 6 41 22
3 1 7 32 20
0 1 3 59 8
0 0 15 49 2
0 0 29 47 0
0 0 17 67 0
0 0
0 0
0 0
12 3
13 11
6 19
4 12
8 20
1 10
0 0
0 0
0 0
patterns in hourly ozone concentration
ee of diumal variation in ho
urly ozone
0 0
0 0
0 0
0 0
0 0
0 0
0 1
0 0
0 1
0 4
0 0
0 0
(see B6hm et al.
concentrations t
0 0
0 0
0 0
1 0
2 0
2 1
3 0
2 0
0 0
0 0
2 0
0 0
1990).
(A curves
0
0
0
0
0
2
0
1
1
0
0
0

• least
0
0
0
0
0
0
0
0
0
0
0
0

0
0
0
0
0
0
0
0
0
0
0
0

variation;
0
0
0
0
0
0
0
0
0
0
0
0

E curv
      greatest variation) and dairy mean (1 curves - lowest mean; 6 curves highest mean) as described by B&hm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                        CEDAR RIVER


           DOMINANT DIURNAL PATTERNS IN HOURLY
             OZONE CONCENTRATIONS (MAY - OCT)
CO
•g
•o
CO
•o
C
CO
4—1
CA
O

+1
Cu
CL


.O
•*_>
03




I
O
U


-------
KING COUNTY
     WASHINGTON
           BIOGRAPHIC INFORMATION
          Latitude
          Longitude
          Elevation (m)
          Basin Height (m)
          Landuse
          City Population
          Basin Population
          Start Summary
          End Summary
          Source of Data
 47.55° N
122.05° W
22
5.5
Rural
Not In A City
2,240,288
January,  1980
December,  1989
AIRS (53-033-0010)

-------
                                                     King County

                                                 BASIC STATISTICS
  A.  BY YEAR.

         %Data  % Valid
Year      Capt'   Days2   5
   Percentiles and Arithmetic Mean (ppb)
10     25    SO  Mean*std    75     90
           % hours i x (ppb)       Days t x
95     60      80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
63
63
87
88
92
94
77
SO
56
63
All Years 74
B.

Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
73
67
93
91
93
95
78
50
57
66
76
BY GROWING
% Data
Capt
78
95
94
87
93
90
93
83
96
89
All Years 90
c

Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
% Valid
Days
84
99
100
91
93
91
93
83
96
94
93











0
0
0
0
0
0
0
0
0
0
0
0 0 10 11.7*14 20 30 40 1
0 0 10 11.7*16 20 30 40 2
0 0 10 11.9*15 20 30 40 2
0 0 10 12.4*15 20 30 40 1
0 0 10 133*14 20 30 40 1
0 0 10 14.4*16 20 40 40 2
0 0 10 15.2*17 20 40 SO 3
0 0 10 163*18 30 40 50 3
0 0 10 163*17 30 40 SO 2
019 13.4*15 20 38 43 1
0 0 10 133*16 20 30 40 2
0
1
0
0
0
1
1
1
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
2
1
0
0
1
1
0
1
0
6











SEASON (May through October).

5
0
0
0
0
0
0
0
0
0
0
0













Percentiles and Arithmetic Mean (ppb) S063 S08*
10 25 50 Mean*std 75 90 95 (ppm hr)
0 0 10 123*15 20 30 40 41
0 0 10 13.8*17 20 40 50 11 5
0 0 10 13.0*16 20 40 50 82
0 0 10 14.1*17 20 40 SO 73
0 0 10 153*16 25 40 40 6 1
0 0 20 18.4*19 30 40 50 13 4
0 0 10 16.1*19 20 40 50 14 6
0 0 10 16.1*18 30 40 SO 10 2
0 0 10 15.6*17 20 40 SO 83
0 1 10 143*15 21 39 44 41
0 0 10 14.9*17 20 40 50 -
%
60
1
3
3
2
2
4
4
4
3
1
3
' hours ;
80
0
1
0
1
0
1
1
1
1
0
1
t x (ppb)
100
0
0
0
0
0
0
0
0
0
0
0
120
0
0
0
0
0
0
0
0
0
0
0
Days
2 X
120 ppb
0
2
1
0
0
1
1
0
1
0
6











BY MONTH 5.
% Data
Capt
83
86
93
89
88
94
96
90
90
82
88
94
% Valid
Days
86
89
97
92
91
97
100
93
93
83
91
97

5
0
0
0
0
0
0
0
0
0
0
0
0














Percentiles and Arithmetic Mean (ppb) S06 SOB6
10 25 50 Mean*std 75 90 95 (ppm hr)
000 7.1*10 10 20 30 00
0 0 10 9.9*11 20 30 30 00
0 0 10 13.1*13 20 30 30 0 0
0 0 20 18.9*16 30 40 40 11
0 10 20 20.4*17 30 40 50 21
0 0 20 18.0*17 30 40 SO 2 1
0 0 10 16.7*18 22 40 SO 31
0 0 10 15.8*20 20 SO 60 32
004 10.6*14 20 30 40 11
000 73*10 10 20 30 00
0 0 10 93*10 20 28 30 0 0
000 63*09 10 20 30 00
9
60
0
0
0
1
3
4
4
6
1
0
0
0
6 hours
80
0
0
0
0
1
1
1
2
0
0
0
0
2 X
(PPb)
100 120
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Days
120
0
0
0
0
0
1
2
2
1
0
0
0
Z X
ppb












1.  % Data Capture - * valid hours / (total * hours in averaging period) • 100.  Av. period BY YEAR * 8760 hrs; BY G.S. - 4416 hrs.
2.  % Valid Days - # days with 75 % of hours between 09:00 and 21:00 / (total * days) * 100 (Federal Register 1979).               |
3.  Cumulative Index: S06 » E [Oj]/1000, where (Oj] is hourly ozone concentrations 2 60 ppb (Lee et al. 1988).
4.  Cumulative Index SOS - t [OjJ/lOOO, where [Oj] is hourly ozone concentrations 2 80 ppb (Lee et al. 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) «=  506(08) • (# hours in that month) / (# valid hours).

-------
                                          King County

             DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.
% Days
Year Unclassified7
I960
1981
1982
1983
1984
1985
1986
1987
1988
1989
5
3
1
2
4
3
3
5
5
2
Percent occurrence of diurnal ozone pattens as defined by Behm et al (1990) (Figure 4C1)2
A3 A4 AS A6 Bl B2 B3 B4 B5 Cl C2 C3 C4 C5 C6 D4 E5
2
0
1
1
2
2
4
0
3
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
61
49
54
45
39
33
31
24
31
42
17
11
11
12
20
22
16
14
14
11
0
0
0
0
1
1
1
2
1
1
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
17
13
12
15
15
15
15
14
7
13
2
15
12
15
13
11
15
19
:-22
i9
0
8
10
9
10
13
11
20
20
12
0
1
0
1
1
2
5
5
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
0
1
0
2
1
1
2
1
0
0
0
0
0
0
0
0
0
0
All Years
                  39   15
14   15   12
B. BY GROWING SEASON (May through October).
         % Days
 Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C.1)2
A3  A4  A5  A6   Bl  B2  B3   B4   B5  Cl   C2  C3   C4  CS   C6  D4   E5
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
6
4
0
3
5
4
3
5
5
1
4
0
1
0
1
1
1
1
0
1
0
1
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
67
40
46
31
23
14
27
26
33
29
30
7
11
9
10
16
20
16
9
10
12
13
0
1
0
1
1
2
1
2
1
1
1
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
20
15
17
17
18
13
15
15
8
17
15
7
19
18
21
20
15
v 14
16
23
24
19
0
10
10
14
19
26
17
23
22
15
17
0
2
0
3
2
5
7
6
1
1
3
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
2
0
1
0
3
2
1
2
1
2
0
0
0
0
0
0
0
0
0
0
0
C BY MONTH (composited over years).
         % Days
 Month  Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C.1)2
 A3  A4  AS   A6   Bl  B2   B3  B4   B5   Cl   C2  C3  C4   C5   C6  D4  E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
0
3
4
5
7
4
6
1
2
1
1
1
0 0
2 0
4 0
9 0
4 0
0 0
0 0
0 0
0 0
0 0
1 0
0 0
% days with unidentified diurnal
Pattern identifier
relates to degr
0 0 83 13
0 0 64 16
0 0 33 19
0 0 9 31
0 0 9 27
0 0 21 24
0 0 25 11
0 0 21 2
0 0 34 4
0 0 66 9
0 0 71 22
0 0 82 12
0
0
0
1
3
1
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0 4
0 17
0 28
0 11
0 6
0 4
0 5
0 13
0 37
0 23
0 6
0 6
0
2
13
25
17
14
19
37
21
3
0
0
patterns in hourly ozone concentration (see B&hm et
ee of diurnal variation
in hoi
0 0
0 0
1 0
13 0
27 5
26 6
33 5
19 3
1 0
0 0
0 0
0 0
al. 1990).
irty ozone concentrations (A curves
0
0
0
0
0
0
0
0
0
0
0
0

- least
0
0
0
0
0
0
0
0
0
0
0
0

varia
0
0
0
0
2
2
2
3
1
0
0
0

lion;
0
0
0
0
0
0
0
0
0
0
0
0

E curv
      greatest variation) and daily mean (1 curves • lowest mean; 6 curves highest mean) as described by B&hm et al (1990) and as
      illustrated in Figure 4C1.  Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
.2


•o


•s
CO
•o

co
O
.0

'*->
co
co
                       KING COUNTY



           DOMINANT DIURNAL PATTERNS IN HOURLY

             OZONE CONCENTRATIONS (MAY - OCT)
      180
       90
Cl
       Ot±d=fc±±i±
180
                90
        0    6   12   18   23
                  0    6    12    18   23
§
«§
c
o
N
O
3
O
ffi
180 C2

90


o



I j .
, 	 ^^ "^kjj,,,
i 1 1 1 1 1 i** ii 1 1 1

0 6 12 18 23
                                180
                                 90
                          B1
                                                   \\\
                                  0    6   12   18  23
                          Hour of Day

-------
OLYMPIC NATIONAL PARK
     WASHINGTON
                 BIOGRAPHIC INFORMATION
                Latitude
                Longitude
                Elevation (m)
                Basin Height (m)
                Landuse
                City Population
                Basin Population
                Stan Summary
                End Summary
                Source of Data
 48.10° N
123.39° W
125
0
Suburban - Residential
Not In A City
529,337
August, 1985
July, 1989
National Park Service

-------
                                       Olympic National Park  (NFS)

                                              BASIC STATISTICS
  A  BY YEAR.
% Data
Year Capt'
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
-
.
38
8
.
.
19
22
% Valid
Days* 5
-
.
38
8
.
.
18
21
-
-
0
0
.
.
0
0
Percentiles and Arithmetic Mean (ppb)
10 25 SO Meantstd 75 90
•
.
0
0
.
.
0
0
-
.
1
1
.
.
4
1
-
.
2
2
.
.
12
2
-
.
1.7*01
1.8*01
.
.
12.0*09
4.8*07
-
-
2
3
.
.
19
4
-
-
3
3
.
.
24
16
95
-
.
3
4
.
.
26
21
% houn 2 x (ppb)
60 80 100 120
-
-
0
0
.
.
0
0
-
.
0
0
.
.
0
0
-
.
0
0
.
.
0
0
-
.
0
0
.
.
0
0
Days & x
120 ppb
-
-
0
0
.
.
0
0
  B.  BY GROWING SEASON (May through October).
       % Data % Valid
Year    Capt   Days    5
  Percentiles and Arithmetic Mean (ppb)
10    25    50  Mean*std  75     90
     S063 SOS4     % hours z x (ppb)   Days t x
95   (ppm hr)    60   80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
•
-
42
.
.
.
11
26
-
.
42
.
.
.
7
25
-
.
0
.
.
.
3
0
•
.
1
.
.
.
4
1
-
.
1
.
.
.
9
1
-
.
2
.
.
.
17
2
-
.
1.9*01
.
.
.
16.4*08
43*07
•
.
3
.
.
.
23
3
-
-
3
-
.
.
27
17
-
-
4
-
.
.
30
23
.
.
00 0
.
.
.
00 0
0
-
.
0
.
.
.
0
0
-
-
0
.
.
-
0
0
-
.
0
.
.
.
0
0
-
.
0
.
.
.
0
0
  C. BY MONTH 5.

       %Data % Valid
Month    Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50   Mean*std   75     90
      S06 SOS6      % hours t x (ppb)   Days * x
 95    (ppm hr)     60   80   100    120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
98
74
-
-
14
35
16
56
99
99
99
99
100
75
-
-
3
30
10
58
100
97
100
100
0
0
-
-
4
4
0
1
0
0
1
0
0
1
-
-
6
6
2
1
1
0
1
0
1
8
-
-
12
12
5
2
1
1
2
0
2
13
.
-
23
19
12
3
2
2
2
1
5.1*06
133*08
-
-
20.6*10
17.1*07
11.1*07
Z7*01
1.7*01
1.6*01
1.9*01
1.0*01
7
20
-
-
29
23
16
3
2
2
2
1
16
24
.
-
33
26
19
4
3
3
3
2
20
26
-
-
34
28
20
4
3
3
3
2
0
0
-
-
0
0
0
0
0
0
0
0
0
0
-
i-
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
0
0
0
0
0
0
-
-
0
0
0
0
0
0
0
0
0
0
-
-
0
0
0
0
0
0
0
0
1.  % Data Capture - * valid houn / (total * houn in averaging period) • 100.  Av. period BY YEAR - 8760 hrs; BY C.S. - 4416 hn.
Z  % Valid Days - * days with 75 % of hours between 09.00 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index S06 - I [Oj]/1000, where [Oj] is hourly ozone concentrations t 60 ppb (Lee et al. 1988).
4.  Cumulative Index: SOS • Z [OjJ/1000, where (Ojj is hourly ozone concentrations t 80 ppb (Lee et al. 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of S06(08) * S06{08) '• (# houn in that month) / (# valid houn).

-------
               COLORADO SPRINGS



       DOMINANT DIURNAL PATTERNS IN HOURLY

         OZONE CONCENTRATIONS (MAY - OCT)
   180
    90
cc

I
•o
«J
•o
c

4->
\n
     0
iL
C
.0
*+3

2
4-1
C
o
o
c
   180
    90
o
c
Ui

§
c
ca
o
   180
    90
            B1
            -H-
            B2
            44-
           B3
                 -H+H
            12   18  23
         6   12   18  23
         6   12   18  23
                         90
                                C4
0   6  12  18  23
                        180
                        90
       C2
                          0    6   12   18  23
                        180
                         90
                              x^x.
                          0   6   12   18  23
                  Hour of Day

-------
                                         Colorado Springs


              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS

A.  BY YEAR.

         % Days          Percent occurrence of diurnal ozone patterns as defined by Bahm et al (1990) (Figure 4C1)2
  Year   Unclassified7    A3  A4  AS  A6   Bl   B2  B3   B4  B5   Cl  C2  C3  C4   CS   C6  D4   ES
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
B. BY

Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
6
5
8
8
5
5
6
5
4
4
5
GROWING
% Days
Unclassified7
5
4
6
8
3
6
9
5
2
3
5
5 2
5 0
5 0
8 0
8 2
4 0
4 0
6 0
4 1
S 2
5 1
SEASON
0
0
0
0
0
0
0
0
0
0
0
(May
0
0
0
0
0
0
0
0
0
0
0
19 11
21 17
23 IS
12 13
IS 13
22 IS
17 13
10 14
IS 8
16 16
17 14
12
5
7
8
10
4
8
6
11
8
8
10
2
1
6
6
1
3
6
4
7
5
3 6
0 12
0 11
0 IS
0 12
0 19
0 20
2 12
1 16
1 14
1 14
15 11
IS 21
13 18
12 17
11 19
12 19
9 23
IS 22
11 22
10 IS
12 19
6
2
7
8
6
3
2
6
6
6
S
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
0
0
0
0
0
0
0
0
0
0
through October).
Percent occurrence
A3 A4
3 4
5 0
1 0
6 0
5 3
3 0
5 0
3 0
3 3
5 3
4 1
A5
1
0
0
0
0
0
0
0
0
0
0
A6
0
0
0
0
0
0
0
0
0
0
0
of diurnal
Bl B2
2 5
9 17
17 12
S 8
8 11
15 11
6 10
2 12
7 6
5 13
7 10
ozone
B3
18
8
11
11
14
7
14
11
18
12
12
patterns
as defined
B4 B5 Cl
18
4
1
8
10
1
4
8
7
11
7
6 1
0 6
0 7
1 7
0 2
0 17
1 8
2 4
2 8
3 2
2 6
by Behm
C2 C3
14 18
13 35
11 27
11 28
7 31
14 27
9 39
12 34
8 31
9 26
11 30
etal
C4
12
4
13
14
9
5
4
10
9
11
9
(1990)
CS
0
0
0
0
0
0
0
0
0
0
0
(Figure
C6
0
0
0
0
0
0
0
0
0
0
0
4C1)2

D4 ES
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
C  BY MONTH (composited over years).
         %Dayt
 Month   Unclassified'
   Percent occurrence of diurnal ozone patterns as defined by Bfihm et al (1990) (Figure
A3  A4   AS  A6  Bl  B2   B3  B4   B5   Cl   C2  C3  C4  CS   C6  D4   E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
4
6
6
3
5
S
5
5
6
5
9
6
3 0
4 0
12 0
16 2
11 3
4 2
1 1
3 1
3 0
0 0
2 0
4 0
% days with unidentified diurnal
Pattern identifier
relates to degr
0 0 43
0 0 21
0 0 10
000
001
000
000
001
0 0 14
0 0 25
0 0 33
0 0 45
16 0
20 1
24 S
14 17
12 19
8 24
S 15
10 14
12 5
15 1
IS 0
13 0
0
0
1
10
12
12
12
6
2
0
0
0
0 29
0 22
0 8
0 0
3 0
4 2
3 1
1 1
0 9
0 22
0 35
. 0 32
800
31 1 0
24 IS 0
4 29 6
3 28 7
1 30 13
S 32 24
S 48 9
18 35 1
28 8 0
14 0 0
6 1 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
. 0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
patterns in hourly ozone concentration (see Behm et al. 1990).
ee of diurnal variation in hourly
ozone concentrations (A curves
- least
variation; E curv
      greatest variation) and dairy mean (1 curves - lowest mean; 6 curves highest mean) as described by Bdhm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the sums of percentages do not always equal  100.

-------
                                                 Colorado Springs

                                               BASIC STATISTICS
  A.  BY YEAR.
Year
%Data  % Valid
 CaptJ   Days2    5
   Perosntile* and Arithmetic Mean (ppb)
10     25   SO  Meanistd    75     90
           % hours t x (ppb)       Days t x
95     60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
92
87
91
76
84
83
95
95
89
99
89
96
90
95
78
87
86
98
99
92
99
92
0
0
0
2
2
0
0
1
0
0
0
5
0
0
3
3
0
1
1
0
1
1
10
5
5
7
8
3
5
6
4
6
5
25
20
20
21
23
16
20
22
20
21
20
26.4±19
19.4*15
20.1*16
22.4*17
233*17
17.8*15
20.8*17
233*18
21.9*18
22.6*18
21.9*17
40
30
30
34
36
29
33
36
37
36
35
55
40
40
45
47
40
44
48
48
49
45
60
45
45
51
S3
45
50
54
53
55
52
7
1
1
2
2
0
1
2
2
2
2
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
1
0
0
0
0
0
0
0
0
0
1
  B.  BY GROWING SEASON (May through October).
       % Data  % Valid
Year     Capt    Days    5
                       Percentiles and Arithmetic Mean (ppb)
                     10    25     SO  Mean*std  75     90
                                            S063 SOS4     % hours * x (ppb)   Days i x
                                       95   (ppmhr)    60    80   100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
91
84
91
74
77
87
95
95
90
99
88
96
88
97
77
81
91
98
99
93
99
92
5
0
0
3
3
0
0
0
0
2
0
10
0
0
4
5
0
2
1
1
3
2
20
5
5
10
5
5
9
10
7
12
10
35
25
20
26
28
19
25
26
26
30
25
34.9*19
22.6*16
22.0*17
26.9*18
28.5*18
20.4*16
24.9*17
27.0*19
263*19
29.1*19
263*18
50
35
35
40
43
32
38
42
43
44
40
60
45
45
51
52
44
48
53
52
54
51
65
SO
55
57
57
49
S3
58
57
59
57
34
3
6
9
8
2
5
11
8
14
-
3
0
0
1
1
1
0
1
1
1
-
13
1
2
4
4
1
2
4
3
5
4
1
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
1
0
0
0
0
0
0
0
0
0
1
  C  BY MONTH5.

       % Data  % Valid
Month   Capt   Days  5
                       Percentiles and Arithmetic Mean (ppb)
                     10    25     SO   Mearmtd  75     90
                                             S06 SOS*      % hours t x (ppb)   Days t. x
                                       95    (ppmhr)     60   80    100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
92
92
77
91
92
74
86
92
92
95
91
93
96
95
77
95
96
78
87
95
96
99
94
96
0
0
0
2
3
2
1
1
0
0
0
0
0
0
1
S
6
6
S
4
1
0
0
0
2
3
8
19
19
17
IS
12
6
3
3
3
10
15
23
32
34
34
32
28
19
11
9
9
133*12
153*13
213*15
29.7*16
31.5*17
32.0*18
313*20
283*19
20.9*16
15.1*13
119*12
123*11
23
27
34
42
45
46
46
43
34
25
23
21
30
35
40
49
52
55
57
54
44
35
30
29
35
37
45
S3
57
60
63
59
49
40
35
33
0
1
1
1
2
3
S
3
1
1
0
0
0
0
0
0
1
1
1
1
0
0
0
0
0
0
0
1
4
S
9
S
1
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
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
1.  % Data Capture - # valid hours / (total # hours in avenging period) • 100. Av. period BY YEAR - 8760 hrs; BY G.S. • 4416 hrs.
Z  % Valid Days - * days with 75 % of hours between 09rtO and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index:  S06 - Z [Ojl/1000, where [Oj] b hourly ozone concentrations I 60 ppb (Lee et al. 1988).
4.  Cumulative Indec  SOS - I (OjJAOOO, where [Ojj is hourly ozone concentrations fc 80 ppb (Lee et aL 1988).
S.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of S06(08) - S06(08) • (# hours in that month) / (# valid hours).

-------
COLORADO SPRINGS
       COLORADO
              BIOGRAPHIC INFORMATION
             Latitude
             Longitude
             Elevation (m)
             Basin Height (m)
             Landuse
             City Population
             Basin Population
             Start Summary
             End Summary
             Source of Data
 38.82° N
104.82° W
1842
1842
City Center - Commercial
214,821
522,361
January,  1980
December, 1989
AIRS (08-041-0004)

-------
             COLORADO NATIONAL MONUMENT




         DOMINANT DIURNAL PATTERNS IN HOURLY

            OZONE CONCENTRATIONS (MAY - OCT)
c
o
"O
03

•o

C
C3
c
o

+1
x—v

•a
c

o
• •-4
•4-J

03
v*
•4— 1
o
c
I
O
I

c
03
                  180
                  90
          A4
                    06    12   18   23
180
 90
A3
  0    6    12   18  23
                        Hour of Day

-------
                                 Colorado National Monument
              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.
% Days
Year Unclassified7 A3
1980
1981
IQft?
1003
1984
1985
108A
1987
1988
1989
All Years




4
2


-o
0
1




68
49


80
80
61
Percent occurrence of diurnal ozone
A4 AS A6 Bl B2 B3




14
44


11
18
32




0
0


0
0
0




0
0


0
0
0




0
0


0
0
0




18
4


8
1
5




0
1


0
0
0
patterns is defined by Bohm et al (1990) (
B4 B5 Cl C2 C3 C4 CS




0
2


1
0
1




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
Figure
C6




0
0


0
0
0
:4Ci;
04




0
0


0
0
0
t
ES




0
0


0
0
0
B. BY GROWING SEASON (May through October).

         % Days          Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C1)2
 Year   Unclassified7    A3  A4  AS   A6   Bl   B2  B3  B4   B5  Cl   C2  Q   C4  CS   C6  D4  E5

1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years





4

0
0
3





49

82
SO
57





45

18
SO
38





1

0
0
1





0

0
0
0





0

0
0
0





0

0
0
0





1

0
0
1





4

0
0
3





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
0
0
C BY MONTH (composited over years).
         % Days
 Month  Unclassified7
  Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C.1)*
A3A4ASA6B1B2B3B4BSC1   C2C3C4CSC6D4ES
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
Z
0 87 6 0 0
0 49 SI 0 0
0 41 56 0 0
0 0 96 0 0
0 15 80 5 0
7 54 23 0 0
0 14 57 0 0
0 0 100 0 0
14 72 28 0 0
0 88 12 0 0
2 S3 4 0 0
1 80 4 0 0
% days with unidentified diurnal patterns in
0 6
0 0
0 4
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 11
0 IS
0
0
0
4
0
0
14
0
0
0
0
0
0
0
0
0
0
23
14
0
0
0
2
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
0
0
0
hourly ozone concentration (see B&hm et al.
Pattern identifier relates to degree of diurnal variation
in ho
urty ozone concentrations (
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
1990).
[A curves
0
0
0
0
0
0
0
0
0
0
0
0

-least
0
0
0
0
0
0
0
0
0.
0;
o'
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

variation; E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by Bohm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                                         Colorado National Monument
                                                BASIC STATISTICS
  A.  BY YEAR.

         %Data  % Valid
Year      Capl;   Day*2    5
     Percentiles and Arithmetic Mean (ppb)
 10     25    50  Mean*std   75     90
  95
    % hours 2 x (ppb)       Days t x
60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
.
-
-
-
6
77
.
.
22
26
33
.
-
-
.
7
79
-
.
22
25
33
B. BY GROWING
9
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
'•> Data
Capt
.
-
-
.
.
65
-
.
18
8
30
% Valid
Days
.
-
.
.
.
66
-
.
18
4
29
... ....
.
.
.
22 24 30 35 34.7*08 41 44 46 0
27 30 35 41 41.6*10 48 54 57 2
.
....
25 27 30 35 35.6*07 41 45 47 0
30 32 35 39 40.0*07 44 49 52 1
26 29 34 39 39.9*09 46 . 52 55 2
SEASON (May through October).
Percentiles and Arithmetic Mean (ppb) S06* SOS*
5 10 25 50 Meanatstd 75 90 95 (ppm hr)
.
.
.
.
.
29 32 37 43 43.0*09 49 55 58 61
.
.
31 33 36 40 39.9*06 44 47 49 00
35 37 39 44 44.1*06 49 52 54 10
30 32 37 42 42^*08 48 54 57 -
.
.
.
...
0000
0001
.
...
0000
0000
0001

% hours t x (ppb) Days i x
60 80 100 120 120 ppb
.
.
- .
.
.
30000
.
.
00000
00000
20000
  C  BY MONTH5.

       %Data  % Valid
Month   Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50  Mean*std  75     90
     S06  $08*      % hours t x (ppb)   Days i x
95   (ppm hr)    60   60   100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
82
84
94
87
43
35
20
66
44
95
87
83
84
88
97
90
40
30
18
65
43
100
88
86
24
32
29
31
36
30
30
39
28
28
25
23
28
34
32
40
38
33
34
40
31
30
27
25
32
38
38
45
43
37
40
45
35
34
31
29
36
43
44
49
48
42
46
50
40
38
35
33
35.8*11
418*07
44.1*09
47.6*11
484*08
41.9*07
45.1*08
49.6*07
39.8*07
383*06
34.8*06
33.0*06
39
47
50
54
54
47
50
55
45
43
39
37
43
51
55
57
58
51
55
59
48
46
42
41
46
54
58
59
60
54
58
60
51
48
44
43
1
1
2
2
4
1
1
4
0
1
1
1
1
0
0
0
0
0
0
0
0
1
0
0
1
1
3
4
7
1
2
7
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
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
1.  % Data Capture - * valid hours / (total * hours in averaging period) • 100.  Av. period BY YEAR - 8760 hrs; BY G.S. - 4416 hrs.
2.  % Valid Days - * days with 75 % of hours between 09:00 and 21KW / (total # days) • 100 (Federal Register 1979).
3.  Cumulative Index:  S06 - I [Oj]/I000, where [Oj] is hourly ozone concentrations i 60 ppb (Lee et al. 1988).
4.  Cumulative Index:  SOS - I [
-------
COLORADO NATIONAL
     MONUMENT
       COLORADO
              BIOGRAPHIC INFORMATION
             Latitude
             Longitude
             Elevation (m)
             Basin Height (m) -
             Landuse
             City Population
             Basin Population -
             Start Summary
             End Summary
             Source of Data
 39.10° N
108.74° W
1750
1384.6
Rural - Desert
Not In A City
198,341
January,  1985
July, 1989
National Park Service

-------
a
o
I
                   BOULDER COUNTY




         DOMINANT DIURNAL PATTERNS IN HOURLY

            OZONE CONCENTRATIONS (MAY - OCT)
IOU
90
a
.0
'&
rt
'> 0
U>vJ IOU
, U^ttTTrljij ,
.MT1 ^»rM
n
n«j


1 I 1 1 '1 H I-H ' ] J ' ' Tt-f-f}-}-H

o
•o 0 6 12 18 23 0 6 12 18 23
•o
CC
•o
c
CO
4-1
i 180
o
+1
.Q
Q* on
D.
C
0
1 o
B2 180



90

[4+4-U4-i-l44W_^H444f^
' "ijT*"^ r» n "H Q
B3




L44444-Uj
M-t uJ^*^ ^HfH
rTTT-H-r1

c 0 6 12 18 23 0 6 12 18 23
(U
o
c
                 180
                  90
B4
                   0    6   12   18   23
                       Hour of Day

-------
                                          Boulder County

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A  BY YEAR.

         % Days
  Year   Unclassified7
    Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C1)2
A3A4A5A6B1B2B3B4B5C1C2C3C4CSC6D4E5
1980
1981
1982
1983
1984
1Ofi<
iToD
1986
1987
1988
1989
All Years
8
6
3
6
5
X
o
8
6
S
5
6
17
15
16
13
18
1O
iy
16
13
24
17
17
0
1
6
2
7
5
8
5
4
5
8
0
1
1
0
1
2
1
1
1
0
0
0
0
0
0
0
0
0
0
50
10
10
7
9
1 A
IV
11
20
5
16
11
8
24
18
26
19
24
19
17
16
20
0
14
11
13
10
«O
1*
10
8
9
15
11
0
11
15
11
13
i?
13
14
11
18
10
13
0
4
7
7
8
5
8
8
6
7
0
5
6
5
4
4
4
2
4
4
0
6
4
8
5
4
3
6
6
5
17
7
4
6
5
4
3
3
3
4
0
2
2
1
3
1
1
1
2
1
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
0
0
0
0
0
0
B.  BY GROWING SEASON (May through October).
         % Days
 Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C.1)*
A3  A4   A5   A6  Bl  B2   B3  B4   B5  Cl   C2  C3   C4  CS  C6  D4   E5
IQftfl
17OW
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years

6
3
7
6
7
9
7
4
5
6

10
14
12
12
12
11
15
14
17
13

2
5
1
7
7
7
11
8
7
6

1
1
1
0
0
1
2
2
1
1

0
0
0
0
0
0
0
0
0
0

5
4
1
7
2
4
3
3
5
4

17
14
21
12
16
18
13
10
12
15

23
15
21
14
16
15
16
13
20
17

18
21
16
19
23
23
18
27
16
20

8
11
13
13
12
10
14
15
11
12

1
2
1
0
0
0
0
1
1
1

3
3
3
3
2
4
2
2
3
3

8
6
8
7
5
5
2
3
3
5

3
4
1
4
2
1
2
1
3
3

0
0
0
1
0
0
1
1
0
0

0
0
0
0
0
0
0
0
0
0

1
0
1
0
0
0
1
0
0
0

0
0
0
0
0
0
0
0
0
0
C BY MONTH (composited over years).
         % Days
 Month   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure
 A3  A4  A5   A6   Bl  B2  B3   B4   B5   Cl   C2  C3  C4   CS   C6  D4   E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
Z
3 16 0
6 24 0
8 32 4
5 27 15
3 19 11
6 9 11
6 78
8 US
6 16 3
7 15 0
6 14 0
5 11 0
% days with unidentified diurnal
Pattern identifier relates to degr
0
0
V
2
2
2
1
2
0
0
0
0
0 32 33
0 16 26
0 4 23
0 1 13
0 3 10
004
006
006
0 7 22
0 12 41
0 24 32
0 39 26
1
4
11
14
17
17
18
18
22
9
2
1
008
20 9
732
20 3 0
22 13 0
28 20 0
26 19 0
30 17 0
13 2 0
303
0 0 14
0 0 14
6
15
8
1
0
0
0
1
6
11
12
5
patterns in hourly ozone concentration (see Bohm et al.
ee of diurnal variation
in ho
urty ozone concentrations {
4 0
5 0
4 I
3 1
3 0
4 4
S 8
6 2
8 1
6 0
3 0
2 0
1990).
[A curves
0
0
0
0
0
0
0
1
0
0
0
0

- least
0
0
0
0
0
0
0
0
0
0'
o-'
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

variation; E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by B&hm et al (1990) and as
      illustrated in Figure 4C.1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                                                 Boulder County

                                              BASIC STATISTICS
  A  BY YEAR.

         %Data * Valid
Year      Capt'   Days2   5
    Percentiles ind Arithmetic Mean (ppb)
 10     25   50  Mean*sid   75     90
             % boun * x (ppb)      Days £ x
   95     60     80    100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Yean
5
68
86
96
92
97
99
99
86
87
84
6
91
85
95
93
96
99
98
86
87
83
1
4
3
4
3
2
3
2
4
0
3
3
7
7
8
8
7
8
6
10
3
7
9
17
18
19
19
19
18
16
22
15
18
17
28
31
29
31
31
29
28
34
29
30
20.5*17
28.7*17
31.3*18
30.2*17
31.5*18
30.9*17
30.1*17
30.0*19
33.7*18
292*19
30.5*18
30
38
42
39
42
41
40
42
43
41
41
36
50
54
51
54
52
52
57
56
53
53
45
59
62
61 '
62
60
61
66
64
63
62
4
5
6
6
6
5
5
8
7
7
6
2
1
1
1
1
1
1
1
1
1
1
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
6
1
0
2
1
2
1
13
  B.  BY GROWING SEASON (May through October).
       %D»U  % Valid
Year    Capt    Days   5
  Peroentiles and Arithmetic Mean (ppb)
10    25    50  Mean*std  75     90
     S063  SOS*     % boun * x (ppb)  Days i x
95   (ppm hr)    60   80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Yean
. .
92
97
96
95
97
99
98
95
86
95
.
97
97
96
96
96
98
98
95
85
95
.
6
9
10
8
11
9
11
7
4
8
.
11
14
IS
13
16
14
16
13
11
14
•
21
23
24
13
25
24
25
25
23
24
.
32
34
33
34
35
34
37
38
35
35
.
33.4*18
35.6*18
35J±18
35.6±18
36.5*17
35.5*18
38-5*19
37.8*19
35.8*19
36.0*18
.
44
45
44
47
46
46
50
49
47
47
.
56
60
58
60
59
59
64
62
61
60
.
66
69
68
67
68
67
72
70
70
69
.
24
31
30
31
29
30
44
36
32
-
.
6
8
11
6
6
7
11
9
7
-
.
8
10
9
10
10
10
14
12
12
11
.
2
2
2
2
2
2
"3
2
2
2
.
0
0
1
0
0
0 '
1
0
0
0
.
0
0
0
0
0
0
0
0
0
0
.
0
0
6
1
0
1
1
2
1
12
  C  BY MONTH5.

       *Data  % Valid
Month   Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50   Meaiustd   75     90
      S06 SOS*      % boun * x (ppb)   Days * x
 95   (ppmbr)    60    80    100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jim
Jul
Aug
Sep
Oct
Nov
Dec
80
87
94
96
97
97
96
93
93
95
95
91
78
86
93
96
98
98
96
92
93
95
95
91
1
0
5
13
12
18
14
13
6
3
1
1
2
2
10
18
18
21
19
18
10
6
2
2
8
10
20
28
27
30
28
27
19
13
8
6
19
23
31
38
38
39
38
38
30
23
18
17
19.7*13
22.7*15
303*15
37.3*15
38^*17
41.6*18
40.7*18
40.1*19
31.4*17
23£*14
19.0*13
17.7*13
31
34
40
47
49
51
51
SI
42
33
29
27
37
41
48
55
60
65
65
65
53
41
36
35
40
44
32
60
68
75
74
75
61
46
39
37
1
1
1
3
6
9
9
8
3
1
1
1
1
1
1
1
1
3
3
3
1
1
0
1
1
1
2
6
11
16
15
15
6
1
0
1
0
0
0
1
1
3
3
3
1
0
0
0
0
0
0
0
0
1
1
1
0
0
0
•0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0 .
1
0
1
5
6
0
0
0
0
1.  % Data Capture - * valid boun / (total * boun in averaging period) • 100. Av. period BY YEAR - 8760 hrs; BY G.S. - 4416 hn.
Z  % Valid Days - # days with 75 % of boun between 09*0 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index:  S06 - Z (Oj]/1000, where [Oj] is hourly ozooe concentrations * 60 ppb (Lee « aL 1988).
4.  Cumulative Index:  SOS - I (Ojl/1000, where [Ojj is hourly ozone concentrations i 80 ppb (Lee et aL 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) • S06(08) • (# hours in that month) / (* valid houn).

-------
BOULDER COUNTY
       COLORADO
              BIOGRAPHIC INFORMATION
            Latitude
            Longitude
            Elevation (m)
            Basin Height (m)
            Land use
            City Population
            Basin Population
            Start Summary
            End Summary
            Source  of Data
 40.01° N
105.27° W
1635
1538.5
City Center - Residential
Not In A City
1,628,210
January, 1981
December, 1989
AIRS (08-013-1001)

-------
                          YREKA




          DOMINANT DIURNAL PATTERNS IN HOURLY

            OZONE CONCENTRATIONS (MAY - OCT)
g
'§

•g
•o
•o
•o


«/5

o
c
o

+1


I
o-
      180
      90
        B2
                    +HfhhhH
0    6   12   18   23
                                180
                        90
                                          C2
                                   nim
                                  0    6    12   18  23
c

8
c

8

O
c
o
N

O

>>
T3
p


3
      180
      90
        B3
                               180
                        90
                  +H-
0    6    12   18   23
                                  0   .6    12   18  23
                        Hour of Day

-------
                                               Yreka
              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.

         % Days
  Year   Unclassified'
   Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C1)2
A3  A4   A5   A6   Bl  B2   B3  B4   B5   Cl   C2  C3   C4   CS  C6   D4  ES
1980
1981
1982
1983
1984
1985
1986
1987
1988
IQfiQ
All Years

11
' 8
9
8
4
4
4
6

7

9
4
5
3
2
3
6
5

4

0
0
0
0
0
1
0
0

0

0
0
0
0
0
0
0
0

0

0
0
0
0
0
0
0
0

0

25
11
19
16
17
7
8
13

14

29
22
31
13
11
15
7
10

17

12
14
8
13
13
16
25
14

14

1
1
0
3
2
4
2
1

2

0
0
0
0
0
3
1
0

1

3
5
8
13
18
7
6
9

9

8
13
13
12
14
16
13
12

13

13
26
13
24
20
20
20
28

21

1
5
3
2
3
8
11
8

5

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
0

0
B.  BY GROWING SEASON (May through October).
         % Days
 Year   Unclassified'
   Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure
A3  A4   AS  A6  Bl  B2   B3  B4   B5  Cl   C2  C3   C4  C5  C6  D4   ES
IQftA
A7OU
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years

18
5
11
7
4
4
4
5
-
6

7
1
0
2
4
3
5
3
-
3

0
0
0
0
0
1
0
0
-
0

0
0
0
0
0
0
1
0
-
0

0
0
0
0
0
0
0
0
-
0

7
5
3
5
4
1
0
4
-
3

44
13
17
7
12
9
5
11
-
11

15
20
12
21
23
24
32
22
-
22

0
1
0
3
3
6
3
2
-
3

0
0
1
1
1
4
2
1
-
1

7
4
9
8
5
0
3
2
-
4

15
11
24
15
12
11
10
4
-
12

4
38
27
33
32
26
23
35
-
30

0
8
8
4
6
15
16
16
-
10

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
0
-
0
C  BY MONTH (composited over years).

         % Dtyt          Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure 4C1)2
 Month   Unclassified7    A3A4ASA6B1B2B3B4B5C1C2C3C4CSC6D4E5
Jan
Feb
Mar
Apr
May
Jun
Jut
Aug
Sep
Oct
Nov
Dec
1.
Z
8
9
7
5
5
4
6
4
7
10
9
6
% days with
3
2
9
12
8
4
2
1
2
1
3
4
unidentified
Pattern identifier relates
0
0
0
1
1
0
0
0
0
0
0
0
diurnal
to degr
0 0 43
0 0 27
004
001
000
002
001
000
1 0 3
0 0 14
0 0 36
0 0 41
25 0
26 0
24 7
10 26
4 50
14 28
12 35
6 19
15 4
16 2
27 0
25 1
0 0 21
0 0 23
104
3 1 1
410
420
420
220
1 1 4
0 1 21
0 0 16
0 0 23
620
21 2 0
27 24 0
7 36 2
0 27 4
0 32 13
0 33 11
3 46 22
30 34 6
39 6 0
18 1 0
700
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0-
Of
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
patterns in hourly ozone concentration (see Behm et al. 1990).
ee of diurnal variation in hoi
iriy ozone concentrations (A curves
- least
variation; E curv
      greatest variation) and daily mean (1 curves • lowest mean; 6 curves highest mean) as described by Behm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the turns of percentages do not always equal 100.

-------
                                                        Yreka
                                                BASIC STATISTICS
  A.  BY YEAR.
 Year
% Data  % Valid
 Capt7   Day*2   5
   Percentiks and Arithmetic Mean (ppb)
10     25   SO  Mean*std    75      90
           % bouts 2 z (ppb)       Days i x
95     60     80     100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
.
40
98
79
75
94
88
71
79
-
78
.
39
98
78
74
93
87
68
78
-
77
.
0
0
0
0
0
0
0
0
-
0
.
10
0
0
0
0
0
0
0
-
0
.
10
10
10
10
0
10
10
10
-
10
.
20
20
20
20
20
20
20
20
•
20
.
21.1*13
2Z4±15
19.6*14
20.7*16
16J*17
24.5*17
267*19
23.3*17
-
22.0*17
.
30
30
30
30
30
40
40
40
-
30 .
.
40
40
40
40
40
SO
SO
SO
-
SO
.
40
SO
40
50
SO
SO
60
SO
-
50
.
1
2
1
2
2
4
8
4
-
3
.
0
0
0
0
0
0
0
0
-
0
-.-
b
0
0
0
0
0
0
0
-
0
.
0
0
0
0
0
0
0
0
-
0
.
0
0
0
0
0
0
1
0
-
1
  B.  BY GROWING SEASON (May through October).
       % Data  % Valid
Year     Capt    Days    5
                       Percentiks and Arithmetic Mean (ppb)
                     10     25     50  Mean*std  75      90
                                            S06*  SOS4     % hours I x (ppb)   Days * x
                                       95   (ppm hr)    60   80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
.
25
99
64
82
95
94
94
86
-
80
.
22
99
64
82
93
93
91
84
-
79
.
0
0
0
0
0
10
0
0
-
0
.
10
0
0
0
0
10
0
10
-
0
.
10
10
10
0
10
10
10
10
-
10
.
20
20
20
20
30
30
30
30
-
20
.
22.7*14
24.6*17
217*16
23.4*18
25.4*18
29.0*18
28.9*20
28.0*18
-
25.9*18
.
30
40
30
40
40
40
40
40
-
40
.
40
50
40
50
50
SO
60
50
-
SO
.
so
50
50
50
50
60
60
60
-
60
.
1
10
5
9
12
20
29
18
-
-
.
0
0
0
1
1
1
3
1
-
-
.
1
4
3
4
4
8
11
7
-
6
.
0
0
0
0
0
0
1
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
1
0
-
1
  C  BY MONTH5.

       %Data  % Valid
Month   Capt    Days   5
                       Percenliles and Arithmetic Mean (ppb)
                     10    25     50  Mean**td  75     90
                                             S06 SOS*      % hours t x (ppb)   Days i x
                                       95    (ppm hr)    60    80   100    120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
81
87
89
87
78
87
91
98
89
86
95
95
80
86
87
85
75
87
95
98
88
83
93
94
0
0
0
0
10
0
0
0
0
0
0
0
0
0
0
10
10
10
10
0
0
0
0
0
0
0
10
10
20
20
10
10
10
0
10
10
10
10
20
30
30
30
30
30
20
10
10
10
1Z7*12
147*12
21.3*14
273*16
31.4*16
29.0*17
29.4*17
28.7*19
22.4*18
153*15
144*11
14.1*11
20
20
30
40
40
40
40
SO
30
30
20
20
30
30
40
SO
SO
SO
SO
SO
SO
40
30
30
30
30
40
SO
SO
60
60
60
50
40
40
30
1 <
1 <
1 (
1
3 1
3
4
S
3
1
0 (
0 (
) 0
1 0
) 0
1 2
) S
6
8
10
S
1
) 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
0
0
0
0
0
0
0 -
0
0
0
0
0
1
0
0
0
1.  % Data Capture - * valid hours / (total * hours in avenging period) * 100.  Av. period BY YEAR - 8760 hrs; BY G.S. - 4416 hit.
Z  % Valid Days - * days with 75 % of hours between 0930 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index: S06 • X [OjJAOOO, where (Oj] b hourly ozone concentrations i 60 ppb (Lee et al. 1988).
4.  Cumulative Index: SOS *> Z [OjJ/1000, where (Ojj is hourly ozone concentrations 2 80 ppb (Lee et aL 1988).
5.  Statistic* for monthly composites over the period of record.
6.  Monthly estimate of 506(08) - 506(08) * (* hours in that month) / (# valid hours).

-------
YREKA
       CALIFORNIA
       BIOGRAPHIC INFORMATION
      Latitude
      Longitude
      Elevation (m)
      Basin Height (m)  -
      Landuse
      City Population
      Basin Population  -
      Start Summary
      End Summary
      Source  of Data
 41.73° N
122.64° W
809
769.2
Suburban - Residential
5,916
70,049
March, 1981
December, 1988
AIRS  (06-093-2001)

-------
WAWONA VALLEY, YOSEMITE NATIONAL PARK



  DOMINANT DIURNAL PATTERNS IN HOURLY

     OZONE CONCENTRATIONS (MAY - OCT)
 e
 o
'a
 CO

•g
•o

•a

 CO
•a
 c
 CO
4—1
 C/3

 o

 O
X)
a-
 c
 o
• ^N
 4_>
 CO
 l_
 4-1
 c
 o
 o
 c

a

 V
 c

 8
o
3
o

K

c
CO
      180




       90
           B4
                180




                90
                                  C4
        0    6   12   18   23
                          0    6   12   18   23
180
B3
                        180
                        90
         -HH+
                                           B5
        0    6   12   18   23
                          0    6   12   18   23
                 Hour of Day

-------
                            Wawona Valley, Yosemite National Park

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.
% Days
Year Unclassified7
1980
1981
1984
1986
1987
1988
1989
All Years
7
8
11
8
Percent occurrence of diurnal ozone patterns as defined by Bahm et al (1990) (Figure 4C1)2
A3 A4 AS A6 Bl 62 B3 B4 BS Cl C2 C3 C4 CS C6 D4 ES







104074 14 728 11 5981000
303012102332438750010
70 1 0 21 12 8 1 6 14 19 10 0 0 0 0 0
30301191742379850000
B.  BY GROWING SEASON (May through October).
         % Days
 Year   Unclassified7
   Percent occurrence of diurnal O7xme patterns as defined by Bahm el al (1990) (Figure
A3  A4   AS  A6   Bl  B2   B3  B4   B5  Cl   C2  C3   C4  C5   C6  D4   E5
1QRT1
1Q81
1982
1QR1
1984
1985
IQR/i
1987
1988
1989
All Years







4
7
0
5







0
1
0
0







0
0
0
0







6
5
8
6







0
0
0
0







2
0
0
1







1
5
0
3







15
30
42
24







10
5
8
7







41
42
33
41







2
0
0
1







3
0
0
1







9
2
8
6







9
8
0
8







2
0
0
1







0
0
0
0







0
2
0
1







0
0
0
0
C  BY MONTH (composited over years).
         %Days
 Month   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bfthm et al (1990) (Figure 4C.1)2
 A3  A4  AS   A6   Bl  B2  B3   B4   BS   O   C2  C3  C4   CS   C6  D4  ES
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oa
Nov
Dec
1.
2.
23
5
8
10
2
10
4
6
4
6
11
11
3 0
3 0
7 0
11 0
2 0
0 0
0 0
0 0
0 0
0 0
3 0
6 0
% days with unidentified diurnal
Pattern identifier
relates to degr
0 0 50 15 0
0 0 19 28 3
0 0 7 9 14
0 0 0 5 39
0 0 0 0 30
3 0 0 14 30
6 0 0 0 IS
17 0 0 2 2
6 0 0 0 26
0 0 7 4 42
0 0 23 13 3
0 0 SO 24 0
0
0
0
0
0
8
12
11
9
4
0
0
0 21
0 14
0 2
5 0
14 0
35 0
60 0
61 0
49 0
24 7
0 38
0 15
9
28
34
5
0
0
0
0
4
4
18
3
patterns in hourly ozone concentration (see Behm et
ee of diurnal variation in ho
3 0
6 0
25 2
21 13
27 27
0 8
0 4
0 4
2 2
4 2
3 0
3 0
al. 1990).
urty ozone concentrations (A curves
0 ,
0
0
0
0
3
2
0
0
0
0
0

• least
0
0
0
0
0
0
0
0
0
0
o-
0

0
0
0
0
0
0
0
2
2
0
0
0

0
0
0
0
0
0
0
0
0
0
0
0

variation; E curv
      greatest variation) and dairy mean (1 curves - lowest mean; 6 curves highest mean) as described by Behm et al (1990) and as
      illustrated in Figure 4C1. Note that due 10 numeric rounding, the sums of percentages do not always equal 100.

-------
                                 Wawona Valley, Yosemite National Park

                                              BASIC STATISTICS
  A.  BY YEAR.
%Data
Year Capt7
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
-
.
70
91
28
63
% Valid
Days2 5
-
.
74
95
28
65
-
.
3
4
3
3
Perocntiles and
10 25 SO
-
.
S
7
4
6
!
.
16
15
7
13
-
.
34
30
17
29
Arithmetic Mean (ppb)
Mean*std 75 90
-
.
36.9*25
33.6±23
21.3*17
33.0±23
-
.
55
48
33
48
-
-
71
68
44
67
95
m
-
80
77
52
77
% hours 2 x (ppb)
60 80 100 120
•
-
20
15
3
15
-
-
5
4
1
4
-
•
1
0
0
0
-
-
0
0
0
0
Days z x
120 ppb
—
-
3
0
0
3
  B.  BY GROWING SEASON (May through October).
       % Data % Valid
Year    Capt   Days    5
  Percentiles and Arithmetic Mean (ppb)
10    25    50  Mean*ttd  75     90
     S063 SOS4     % hours t x (ppb)   Days i x
95   (ppm hr)     60   80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
-
.
92
94
10
66
-
.
97
99
8
68
-
.
7
11
9
9
-
.
13
16
13
15
-
.
27
27
22
27
-
.
43
41
37
42
-
.
44.6*24
44.1±23
38.4*20
44.0*23
-
-
62
60
51
61
-
-
76
76
67
76
-
-
84
83
74
83
-
-
85
81
6

-
-
28
28
2
-
-
-
28
26
18
26
-
-
8
7
4
7
-
-
1
1
0
1
-
-
0
0
0
0
-
-
3
0
0
3
  C  BY MONTH5.
% Data
Month Capt
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
87
91
95
95
66
65
73
95
95
95
93
83
% Valid
Days S
89
95
100
100
67
69
74
100
100
100
97
84
3
1
3
10
6
9
16
21
11
4
2
2
Percentiles and Arithmetic Mean (ppb)
10 25 50 Meaiustd 75 90
3
3
5
12
9
13
21
26
19
10
3
2
6
8
9
19
17
24
31
35
29
24
5
6
10
16
22
33
34
40
47
SI
45
34
12
12
13.3*10
19.6*15
233*16
35.7*19
35.5*21
42.6*24
48.4*22
523*21
47.5*23
37.6*21
15.9*13
15.6*12
18
29
35
SI
52
60
65
69
65
SI
25
24
30
42
46
63
65
74
80
81
81
69
35
34
95
35
47
51
70
71
83
87
88
87
77
43
38
S06 SOS6
(ppra hr)
0
1
1
7
8
14
18
22
17
10
1
0
0
0
0
1
2
S
7
8
7
3
0
0
% hours
60 80
0
1
1
14
15
26
31
38
31
18
0
0
0
0
0
1
2
6
10
11
11
4
0
0
t x (ppb)
100 120
0
0
0
0
0
2
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
Days i x
120 ppb
0
0
0
0
0
2
1
0
0
0
0
0
1.  % Data Capture - * valid hours / (toul * hours in averaging period) • 100. Av. period BY YEAR - 8760 hrs; BY G.S. - 4416 hrs.
2.  % Valid Days - * days with 75 % of hours between 09:00 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index: S06 - I [Cjl/1000, where [Oj] is hourly ozone concentrations t 60 ppb (Lee et al. 1988).
4.  Cumulative Index: SOS - I [OjJAOOO, where (Ojj is hourly ozone concentrations 2 80 ppb (Lee et al. 1988).
S.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of S06(08) - S06(08) • (# hours in that month) / (# valid hours).

-------
     WAWONA VALLEY,
YOSEMITE NATIONAL PARK
       CALIFORNIA
                  BIOGRAPHIC INFORMATION
                Latitude
                Longitude
                Elevation (m)
                Basin Height (m) -
                Landuse
                City Population
                Basin Population -
                Start Summary
                End Summary
                Source of Data
 37.53° N
119.66° W
1280
27.1
Rural - Forest
Not In A City
2,082,850
April, 1987
July, 1989
National Park Service

-------
                         VENTURA




          DOMINANT DIURNAL PATTERNS IN HOURLY

             OZONE CONCENTRATIONS (MAY - OCT)
e
o
• *•«
S

1
*o
03

•O


CO
4->
(A


O

C

O
c
.o
*&
(0
o
c

6

o
c
o
N
o
i
c
03
V
      180
      90
      180
      180
                A3
        0    6   12   18   23
                C4
        0    6   12   18   23
        0    6   12   18  23
                                180
                                90
                                   4+B-H
                                180
                                 90
                                180
                                 90
                                          63
                                  0    6   12   18 .  23
                                           B5
                                           B3
                                  0    6    12    18   23
                                  0    6    12    18   23
                          Hour of Day

-------
                                         Ventura County

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A  BY YEAR.

         % Days
  Year   Unclassified'
   Percent occurrence of diurnal ozone patterns as defined by B&lun et al (1990) (Figure 4C.I)*
A3  A4   A5  A6   Bl  B2  B3   B4   B5   Cl  C2  O  C4   CS  C6   D4  ES
1980
1981
1982
1983
1984
1986

1988
1989
All Years
6
5
5
7
6




6
11
5
5
14
10




8
1
3
6
1
3




3
1
1
4
3
1




2
1
0
2
1
0




1
0
4
5
2
1




3
12
5
16
21
15




13
22
19
12
13
15




17
7
5
8
8
3




6
6
7-
10
8
7




7
1
8
6
0
0




4
10
17
15
11
13




13
21
18
8
10
21




15
6
6
4
8
10




6
1
0
1
0
0




0
0
0
0
0
0




0
1
1
0
1
1




1
0
0
0
0
0




0
B.  BY GROWING SEASON (May through October).

         % Days         Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure
 Year   Unclassified'    A3  A4  AS   A6  Bl  B2   B3  B4   B5  Cl   C2  C3   C4  CS   C6  D4   E5
1980
1981
1982
1983
1984
1QRA
1QR7
IQftR
1989
All Years
7
5
5
4
5



-
5
8
7
4
12
6



-
7
2
6
8
3
7



-
5
1
2
6
6
2



-
3
2
0
2
2
0



-
1
0
2
4
1
0



-
2
10
1
15
2
4



-
7
34
25
16
18
30



-
24
7
8
6
11
7



-
8
9
11
12
17
15



-
12
1
4
1
0
0



-
1
4
3
6
1
4



-
4
19
23
12
9
11



-
16
5
7
6
13
15



-
8
0
0
0
1
0



-
0
0
0
0
0
0



-
0
0
1
1
3
0



-
1
0
0
0
0
0



-
0
C BY MONTH (composited over years).
         %Days
 Month   Unclassified'
   Percent occurrence of diurnal ozone patterns as defined by Bfihm et al (1990) (Figure
A3 A4   A5   A6  Bl  B2   B3  B4   B5  Cl   C2  C3   C4  CS  C6  D4   E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
3
5
11
5
6
2
5
6
6
7
2
15
10 0
15 0
10 2
6 2
8 12
4 12
7 3
11 1
7 1
4 0
8 0
11 0
% days with unidentified diurnal
Pattern identifier
relates to degr
009
008
0 0 1
3 1 0
830
520
000
1 0 2
202
038
1 0 2
002
27 3
21 5
10 15
9 20
1 20
6 32
12 41
11 27
6 18
8 4
23 6
26 2
2
3
11
6
6
10
11
10
3
5
1
2
1 11
1 9
1 0
8 0
18 1
12 0
8 1
5 1
18 1
10 5
3 5
0 13
32 4 1
27 10 1
12 27 9
4 29 6
2 12 8
0 10 5
167
3 23 5
4 19 15
15 26 9
35 3 8
39 3 0
0
0
0
2
0
0
0
0
1
0
2
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
3
1
2
1
0
- 1
.- 1
1
2
0
0
0
0
0
0
0
0
0
0
0
0
patterns in hourly ozone concentration (see Behm et al. 1990).
ee of diurnal variation in hourly
ozone concentrations (A curves
- least
variation; E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by Behm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                                                 Ventura  County

                                               BASIC STATISTICS
  A.  BY YEAR.

         % Data % Valid
Year      Capt7   Days2    5
    Percentiles and Arithmetic Mean (ppb)
 10     25    50  Mean*std    75     90
             % hours £ x (ppb)      Days 2 x
   95     60     80    .100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
87
92
96
87
49
.
.
.
.
-
82
86
92
95
90
50
-
-
-
-
-
83
10
0
0
10
0
.
.
-
.
-
0
10
0
10
10
0
-
.
.
-
-
10
20
10
10
20
20
-
-
-
-
•
10
30
30
30
30
30
-
-
-
-
•
30
32.1*20
2&8*22
31.6*22
34.1±21
30.9±21
-
.
.
.
•
31.5*21
SO
40
50
50
40
.
-
-
.
•
40
60
60
60
60
60
.
.
-
.
-
60
70
60
70
70
70
.-
.
-
-
-
70
11
11
16
14
12
-
-
-
-
-
13
3
2
4
4
3
-
-
-
-
-
3
1
1
1
1
0
-
-
-
-
-
1
0
0
0
0
0
-
-
.
.
•
0
3
4
6
12
0
-
-
-
-
-
25
  B.  BY GROWING SEASON (May through October).
       %Data  % Valid
Year    Capt    Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50  Mean*std  75     90
     S063  SOS4      % hours t x (ppb)   Days i x
95   (ppm hr)    60    80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Yean
94
98
97
86
37
.
.
.
.
-
83
93
98
97
90
37
.
.
.
.
-
83
10
0
10
10
0
.
.
.
-
-
0
10
0
10
10
10
.
.
.
-
-
10
20
10
20
30
10
.
-
.
-
-
20
30
40
30
40
40
.
.
.
-
-
40
33.5*20
34.1±22
35.7*22
41.5*23
37.8*22
.
.
.
-
-
36.2*22
SO
50
50
SO
50
.
-
.
-
-
50
60
60
70
70
70
.
-
.
-
-
60
70
70
70
80
80
-
-
.
-
-
70
32
43
61
68
25
.
.-
.
-
-
-
11
12
19
26
- 8
-
-
.
-
•
-
11
14
20
25
22
-
-
.
-
-
18
3
3
5
7
5
-
-

-
-
5
1
1
1
2
1
-
-
.
-
-
1
0
0
0.
1
0
-
.
.
.
-
0
1
3
3
12
0
-
.
.
.
-
19
  C  BY MONTH5.

       % Data  % Valid
Month   Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    SO   Mean**td  75     90
      S06 SOS6      % hours £ x (ppb)   Days i x
 95   (ppmhr)    60    80    100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aiig
Sep
Oct
Nov
Dec
86
91
92
95
96
91
82
97
92
94
90
91
86
94
94
94
95
92
84
97
93
94
90
92
0
0
0
0
0
10
10
10
0
0
10
0
0
0
10
10
10
10
10
10
10
0
10
0
10
10
10
20
30
30
20
20
10
10
10
10
20
20
30
30
40
40
30
30
30
30
20
20
21.7*16
2X8*17
29.5*19
33.7*22
41.5*22
40.9*21
35.4*19
32J*18
34.0*23
30.6*25
27.5*20
23.1*17
30
30
40
SO
60
SO
SO
40
SO
SO
40
30
40
SO
SO
60
70
70
60
SO
60
60
SO
40
SO
50
60
70
80
80
70
60
80
80
70
SO
2
3
S
8
14
12
7
S
9
10
S
3
1
1
1
3
S
4
2
1
4
4
3
1
3
5
10
15
27
23
12
9
16
17
9
S
0
1
1
4
7
S
3
1
S
5
3
1
0
0
0
1
1
1
1
0
2
2
1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
4
1
4
4
1
4
5
1
1
1.  % Data Capture - * valid noun / (total * noun in avenging period) • 100. Av. period BY YEAR - 8760 hn; BY GJS. - 4416 hn.
2.  % Valid Days - * days with 75 % of noun between 0940 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index:  S06 - X [OjJ/1000, where [O3] is hourly ozone concentrations 2 60 ppb (Lee et al. 1988).
4.  Cumulative Indec  SOS - X [OjJAOOO, where [Oj] is hourly ozone concentrations * 80 ppb (Lee et aL 1988).
S.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of S06(08) -  S06(08) • (* noun in that month) / (# valid noun).

-------
VENTURA
       CALIFORNIA
        BIOGRAPHIC INFORMATION
       Latitude
       Longitude
       Elevation (m)
       Basin Height (m) -
       Landuse
       City Population
       Basin Population -
       Start Summary
       End Summary
       Source of Data
 34.75° N
119.09° W
1600
123.1
Remote

11,201,922
January,  1980
July, 1984
AIRS  (06-111-3002)

-------
c
.o
**3
CO

I
•o
03

TD

C

(0
4—1
(A
+1
ex
ex
2
4~>
C


c


cS

V
c
O
N

O
o
c

2
                    SOUTH LAKE TAHOE



          DOMINANT DIURNAL PATTERNS IN HOURLY

             OZONE CONCENTRATIONS (MAY - OCT)
      180
       90
      180
90
          A3
        0    6    12    18   23
        0    6    12    18   23
                                 180
                           90
                   180
                    90
                       B3
                                 90
B5
                            0    6    12    18   23
                                     B4
                            0    6    12    18   23
                      0    6    12    18   23
                         Hour of Day

-------
                                         South Lake Tahoe
              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A  BY YEAR.

          % Days
  Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bshm et al (1990) (Figure 4C.1)*
A3  A4  A5   A6   Bl   B2  B3   B4   B5  Cl   C2  C3  C4   CS   OS  D4   E5
1980
1981
1982
1983
1984
1985
1986
1987
1988
1O8Q
17Q7
All Years
5
6
S
5
6
8
6
5
7

6
16
18
24
26
21
22
20
16
16

20
8
5
4
5
4
7
7
6
9

6
1
1
1
0
0
1
0
2
4

1
0
0
0
0
0
0
0
0
0

0
0
0
0
1
0
0
0
0
0

0
13
21
18
24
23
17
16
14
9

18
21
19
22
16
22
23
20
18
24

20
5
9
8
5
8
10
12
20
13

10
6
12
3
. 2
4
5
6
9
7

6
1
0
0
0
0
0
0
0
2

0
2
5
5
6
6
3
6
3
3

5
19
7
9
12
10
9
9
8
10

10
8
2
5
2
2
2
1
4
4

3
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
0
0
0
0
0

0
B.  BY GROWING SEASON (May through October).
         % Days
 Year   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bshin et al (1990) (Figure 4G1)*
A3  A4   AS   A6   Bl   B2  B3   B4   B5  Cl   C2  C3   C4   CS   C6  D4   ES
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
1
6
3
3
3
9
5
3
5
-
4
8
7
11
7
9
11
11
3
5
-
8
9
9
3
8
5
7
10
9
7
-
7
1
2
2
0
0
2
1
4
7
•
2
0
0
0
0
0
0
0
0
0
-
0
0
0
0
0
0
0
0
0
0
-
0
0
10
11
7
13
6
3
2
1
-
6
21
25
30
25
32
26
28
21
28
-
26
9
12
11
10
12
18
22
30
18
-
16
10
22
4
4
8
11
11
15
10
-
11
0
0
0
0
0
0
0
0
0
-
0
1
2
4
7
2
0
0
1
0
-
2
29
8
15
27
14
14
11
10
15
-
15
13
3
9
5
5
4
3
5
8
-
6
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
0
0
0
0
0
-
0
C  BY MONTH (composited over years).
         % Days
 Month   Unclassified7
   Percent occurrence of diurnal ozone patterns as defined by Bshm et al (1990) (Figure 4C.1)2
 A3  A4  A5  A6  Bl  B2   B3  B4   B5   Cl   C2  C3  C4  CS  C6  D4   E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
5
8
8
7
4
4
4
5
4
6
6
9
30 0
37 1
47 5
18 18
11 15
6 6
3 8
3 8
10 6
14 2
33 2
29 1
% days with unidentified diurnal
Pattern identifier
relates to degr
0 0
0 0
0 0
0 0
4 0
3 0
4 0
3 0
1 0
0 0
0 0
0 0
patterns in
1 46 11
0 24 13
0 6 18
0 1 29
0 2 35
0 5 34
0 1 31
0 1 25
0 5 21
0 22 16
0 43 8
1 51 8
0
2
4
17
16
19
16
26
18
4
1
0
0 1
0 0
0 0
6 0
8 0
11 0
22 0
19 0
8 0
0 0
0 1
0 2
8
14
6
1
0
0
0
1
3
6
10
7
hourly ozone concentration (see Bshm et
ee of diurnal variation in hourly
1 0
8 0
13 0
8 3
6 3
11 6
6 9
6 10
24 4
33 3
1 0
0 0
al. 1990).
ozone concentrations (A curves
0
0
0
0
0
0
0
0
0
0
0
0

-least
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
0
0

variation; E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by Bshm et al (1990) and as
      illustrated in Figure 4C1.  Note that due to numeric rounding, the sums of percentages do not always equal  100.

-------
                                               South Lake Tahoe
                                               BASIC STATISTICS
  A.  BY YEAR.

         %Data % Valid
 Year      Capt'   Days2   5
     Percentilcs and Arithmetic Mean (ppb)
 10     25    SO Mean*std    75     90
             % houn t x (ppb)       Days z x
   95     60    80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Yean;
42
99
96
91
93
92
93
94
91
-
88
43
99
98
94
92
92
96
99
94
-
90
10
10
10
10
10
10
10
10
10
-
10
10
10
10
10
10
20
20
20
20
-
10
20
20
20
20
20
20
20
20
20
-
20
30
30
30
30
30
40
40
40
40
-
30
34.5*17
34.0±16
318*15
31.1*14
32.4*15
35.0*15
35.0*15
36.6*16
38J*I7
-
34.4*15
SO
40
40
40
40
SO
SO
SO
SO
•
40
60
60
SO
SO
SO
SO
60
60
60
-
SO
60
60
60
SO
60
60
60
60
70
-
60
13
11
7
4
7
8
10
14
16
•
10
1
1
0
0
0
0
0
1
1
-
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
  B.  BY GROWING SEASON (May through October).
       %Data  % Valid
Year    Capt    Days   5
  PercentUes and Arithmetic Mean (ppb)
10    25    50  Meanisld  75     90
     S063 SOS4     % hours t x (ppb)   Days t x
95   (ppmhr)    60    80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
51
99
96
86
87
88
94
95
95
-
88
52
99
98
89
86
89
99
99
99
-
90
10
10
10
10
10
10
20
10
10
-
10
10
20
10
10
10
20
20
20
20
-
20
20
30
20
20
10
20
30
30
30
-
20
40
40
30
30
40
40
40
40
40
-
40
36.5*19
39.0*18
33.9*17
33.4*17
35.2*17
38.2*16
39.7*16
41.8*17
41.7*18
-
37.8*17
SO
SO
SO
SO
SO
50
SO
SO
60
-
SO
60
60
60
SO
' 60
60
60
60
60
-
60
70
70
60
60
60
60
60
70
70
-
60
28
59
33
21
32
38
48
66
69
-
-
2
5
1
1
1
2
2
S
9
-
-
20
21
13
9
13
IS
18
25
25
-
18
1
1
0
0
0
1
1
..1
3
•
1
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
  C  BY MONTH5.

       %Data % Valid
Month   Capt   Days   S
  Percenliles and Arithmetic Mean (ppb)
10    25    SO   Mean*std  75      90
      S06 SOS6      % houn ix (ppb)   Daystx
 95    (ppm hr)    60   80   100    120   120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
96
89
96
95
92
90
84
96
93
93
96
96
98
90
98
96
96
93
86
97
94
95
99
97
10
10
10
10
10
10
10
10
10
10
10
10
10
10
20
20
20
20
20
20
10
10
10
10
20
20
20
30
30
20
30
30
20
20
20
20
30 28.0*11
30 303*12
40 333*12
40 38.1*14
40 41.2*16
40 39.0*17
40 41.6*18
40 41.2*18
40 353*17
30 29.6*14
30 28,7*11
30 27.4*11
40
40
40
SO
SO
SO
60
60
SO
40
40
40
40
40
SO
SO
60
60
60
60
60
SO
40
40
SO
SO
SO
60
60
60
70
70
60
60
SO
40
10 100
1 100
1 100
4 800
9 19 0
8 17 0
13 26 0
13 27 0
6 13 0
3 S 0 0
10 100
10 100
0 0
0 0
0 0
0 0 .
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
1.  % Data Capture - * valid boun / (total # houn in averaging period) • 100. Av. period BY YEAR * 8760 hn; BY GS. - 4416 hr*.
2.  % Valid Days - * days with 75 % of boun between 0930 and 21:00 / (total # days) • 100 (Federal Register 1979).
3.  Cumulative Index:  S06 - Z (OjJAOOO, where [Oj] is hourly ozone concentrations t 60 ppb (Lee « aL 1988).
4.  Cumulative Index:  SOS - I [Oj]AOOO, where [Oj] is hourly ozone concentrations fc 80 ppb (Lee et aL 1988).
S.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of S06(08) - 506(08) • (# houn in that month) / (* valid houn).

-------
SOUTH LAKE TAHOE
       CALIFORNIA
               BIOGRAPHIC INFORMATION
             Latitude
             Longitude
             Elevation (m)
             Basin Height (m) -
             Landuse       ' -
             City  Population
             Basin Population -
             Start Summary
             End  Summary
             Source of Data
 38.94° N
119.96° W
1907
1907
Suburban - Residential
20,681
1,598,583
July, 1980
December, 1988
AIRS (06-017-0006)

-------
I
                    SCOTTS VALLEY



         DOMINANT DIURNAL PATTERNS IN HOURLY

           OZONE CONCENTRATIONS (MAY - OCT)
 c
 o
V3
.CO

 O
•o
•o 180
CO
•o
CO
* 90
o
o
•H
A3 180
90
H I I H I J i4-} I 1 H I-U-i inii

C3
1444-Lu^' ^H444
ex
c
.o
'+3
ca
6
8
o
     180
     90
6   12   18   23
    B2
                12   18  23
  0    6    12    18   23
180
                   90
C2
                                 11111-H
                     0    6    12   18  23
                       Hour of Day

-------
                                            Scotts Valley

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.

         %Days
  Year   Unclassified'
   Percent occurrence of diurnal ozone patterns as defined by Benin et tl (1990) (Figure 4C.1)*
A3  A4   A5   A6  Bl  B2  B3   B4   B5   Cl  C2  C3   C4  CS   C6  D4   E5
1980
1981
1982
lOfil
lOfM

1ORA
108*7
IQftA
1Q&Q
All Years
6
8
6






7
2000 14 18 300 18 30 12 10020
7 1 0 0 14 19 7 2 1 10 21 16 2 0 0 1 0
9100624710825 14 40000






6100 11 21 610 11 24 14 20010
B.  BY GROWING SEASON (May through October).

         % Days          Percent occurrence of diumal ozone patterns as defined by Behm et al (1990) (Figure
 Year   Unclassified7     A3  A4  A5  A6   Bl  B2   B3  B4   B5   Cl  C2  C3  C4   CS   C6  D4  E5
1980
1981
1982
10ft!
1
-------
                               Olympic National Park (NFS)

             DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS

A. BY YEAR (August through February).

        % Days         Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C.1)*
 Year   Unclassified7    A3  A4  AS  A6  Bl  B2  B3  B4   B5  Cl  C2  C3  C4   C5  C6  D4  E5


lOJO
lOftl

1985
1986

1989





0
0

7





0
0

0





0
0

0





0
0

0





0
0

0





100
100

77





0
0

21





0
0

0





0
0

0





0
0

0





0
0

2





0
0

0





0
0

0





0
0

0





0
0

0





0
0

0





0
0

0





0
0

0
All Years
B. BY GROWING SEASON (August through October).

        % Days         Percent occurrence of diurnal ozone patterns as defined by Bohm et al (1990) (Figure
 Year   Unclassified7    A3  A4  A5  A6   Bl  B2  B3   B4   B5  Cl  C2  C3   C4   C5  C6  D4  E5
 1980        -         	
 1981        -         	
 1982        -         	
 1983        -         	
 1984        -         	
 1985        0         0000  100   000000000000
 1986        -         	
 1987        -         	
 1988        -         	
 1989        -         	
                                                                           \
All Years      0
0000  100    000000000000
C BY MONTH (composited over years).

% Days

Month Unclassified7 A3
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
2
11
.
-
-
.
.
0
0
0
0
0
% days with
0
0
.
-
-
.
.
0
0
0
0
0
unidentified
Pattern identifier relates
Percent occurrence of diurnal ozone patterns as defined
A4 AS
0 0
0 0
.
.
-
.
.
0 0
0 0
0 0
0 0
0 0
A6 Bl B2
0 94 6
0 59 35
.
.
.
.
• . •
0 100 0
0 100 0
0 100 0
0 100 0
0 100 0
B3 B4
0 0
0 0
.
-
-
.
.
0 0
0 0
0 0
0 0
0 0
B5 Cl
0 0
0 6
.
-
-
.
.
0 0
0 0
0 0
0 0
0 0
by B&hm el al (1990) (Figure 4C.1)2
C2
0
0
.
-
-
.
.
0
0
0
0
0
C3 C4
0 0
0 0
.
.
-
.
.
0 0
0 0
0 0
0 0
0 0
CS C6
0 0
0 0
.
.
.
.
.
0 0
0 0
0 0
0 0
0 0
D4
0
0
.
.
-
.
.
0
0
0
0
0
ES
0
0
.
-
-
.
.
0
0
0
0
0
diurnal patterns in hourly ozone concentration (see B&hm el al. 1990).
to degree of diurnal variation
greatest variation) and daily mean (1

illustrated in
Figure 4C.1
. Note that
in hourly ozone concentrations
curves - lowest mean; 6 curves
highest mean) as
due to numeric rounding, the sums of percentages
(A curves -
described by
least variation; E
B&hm et al
do not always equal 100
curves •
(1990) and as



-------
o
• ^M
*-•
03



1
CO

"O

c

ca
4— >
V)
C

O

+1
£
4—>
c

-------
OLYMPIC NATIONAL PARK
     WASHINGTON
                 BIOGRAPHIC INFORMATION
                Latitude
                Longitude
                Elevation (m)
                Basin Height (m)
                Landuse
                City Population
                Basin Population
                Start Summary
                End Summary
                Source of Data
 47.93° N
123.37° W
100
0
Rural
Not In A City
529,337
June, 1982
September, 1984
WADOE

-------
                                     Olympic National Park (WADOE)

                                              BASIC STATISTICS
  A  BY YEAR.

        % Data  % Valid
Year     Capt;   Days*    5
    Perceniiles and Arithmetic Mean (ppb)
 10     25    SO  Meaimtd    75     90
             % hours fc x (ppb)       Days £ x
   95     60     80     100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
.
13
90
56
77
80
78
58
.
•
65
.
13
91
56
78
79
79
58
.
- '
65
-
0
0
0
0
0
0
0
.
-
0
.
0
0
0
0
0
0
10
.
-
0
-
10
0
10
0
10
10
10
.
-
10
.
10
10
10
10
20
20
20
.
-
10
.
11.8*08
1Z2*11
1Z6*08
103*08
18.1*10
17.4*12
20.8*12
.
-
14.9*11
.
20
20
20
20
20
20
30
.
-
20
.
20
30
20
20
30
30
40
.
-
30
.
30
30
30
20
40
40
40
.
' ;v
30
.
0
0
0
0
0
0
1
.
-
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
  B. BY GROWING SEASON (May through October).
       % Daia % Valid
Year    Capt   Days    5
  Perceniiles and Arithmetic Mean (ppb)
10    25    50  Mean*std  75     90
     S063 SOS*     % hours £ x (ppb)   Days £ x
95   (pptn hr)    60    80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
.
.
88
77
92
69
98
84
.
-
All Years 85
c

Month
Jan
Ptb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
.
.
89
77
93
68
99
83
.
-
85
.
.
0
0
0
0
0
10
.
-
0
.
-
0
0
0
10
0
10
.
-
0
-
.
0
10
0
10
10
20
.
-
10
.
.
10 133*11 20
10 13.7*09 20
10 10.1*08 20
20 20.4*11 30
20 18.3*12 30
20 23.1*12 30
.
.
20 163*11 20
.
.
30
20
20
30
30
40
.
-
30
.
-
30
30
20
40
40
40
.
-
40
• • .
-
1
0
0
1
1
2
.
\
-
.
.
0
0
0
0
0
1
.
-
-
.
.
0
0
0
0
0
1
.
-
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
BY MONTH 5.
% Data
Capt
95
97
99
97
98
98
97
97
98
98
98
97
% Valid
Days
98
97
100
96
97
98
98
98
99
98
98
99

5
0
0
0
10
10
0
0
0
0
0
0
0

10
0
0
10
10
10
10
0
0
0
0
0
0
Percent iles
25
0
10
10
10
10
10
10
10
10
0
0
0
and Arithmetic Mean (p
50 Meanastd 75
10 11.6*10 20
10 133*08 20
20 15.8*09 20
20 21.1*10 30
20 23.7*12 30
20 19.7*11 30
10 13.8*08 20
20 163*11 20
10 13.6*10 20
10 11.1*10 20
10 11.5*10 20
10 9.0*08 10
pb)
90
20
20
30
40
40
30
20
30
30
20
20
20

95
30
30
30
40
40
40
30
40
30
30
30
20
S06
S08*
(ppm hr)
1
0
1
0
1
1
0
1
0
1
0
0
0
0
0
0
0
1
0
0
0
0
0
0
91
60
0
0
0
0
0
0
0
0
0
0
0
0
'•> hours
80
0
0
0
0
0
0
0
0
0
0
0
0
£ X (p
100
0
0
0
0
0
0
0
0
0
0
0
0
pb)
120
0
0
0
0
0
0
0
0
0
0
0
0
Days £ x
120 ppb
0
0
0
0
0
0
0
0
0
0
0
0
1.  % Data Capture - * valid hours / (total * hours in averaging period) • 100. Av. period BY YEAR - 8760 hrs; BY G.S. • 4416 hrs.
Z  % Valid Days - * days with 75 % of hours between 09:00 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index S06 * I [OjJ/1000, where |Oj] is hourly ozone concentrations 2 60 ppb (Lee et al. 1988).
4.  Cumulative Index: SOS « Z [Ojj/1000, where JQjj is hourly ozone concentrationi i 80 ppb (Lee et al. 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) - S06(08) • (* hours in that month) / (* valid hours).

-------
                            Olympic National Park (WADOE)

            DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A. BY YEAR.
% Days
Year Unclassified7
1981
1982
1983
1984
1985
1987
1989
All Years
5
0
6
6
Percent occurrence of diumal ozone patterns as defined by Bahm et al (1990) (Figure 4C.1)2
A3 A4 AS A6 Bl B2 B3 B4 BS Cl C2 C3 C4 CS C6 D4 ES


4000592500045200000
0000 100 000000000000
0000 78 IS 0006 1000000




2000682000053100000
B. BY GROWING SEASON (May through October).
       % Days
Year   Unclassified7
                      Percent occurrence of diurnal ozone patterns as defined by Bbhm et al (1990) (Figure 4G1)2
                   A3  A4   AS  A6  Bl  B2  B3  B4   BS   Cl   C2 C3   C4   CS  C6  D4   ES
toon
1QR1
1982
10S1
1984
1QRS
1QRA
10R7
1QRR
1989
All Years


4

7




-
5


4000 53 27 11067300000

0000 76 17 00061000000




	
2000642200064 100000
C BY MONTH (composited over years).
        %Days
 Month   Unclassified'
                     Percent occurrence of diurnal ozone patterns as defined by Bahm et al (1990) (Figure 4C.1)2
                  A3 A4  AS  A6   Bl  B2  B3  B4  BS   Cl  C2  C3  C4  CS  C6  D4  E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Scp
Oct
Nov
Dec
1.
2.
3
5
IS
7
12
4
5
7
0
0
0
0
% days with
0
0
0
12
10
2
0
0
0
0
0
0
unidentified
Pattern identifier relates
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
0
0
diumal patterns in
81 19
85 7
67 19
43 41
25 43
44 38
62 33
75 10
89 0
98 0
100 0
100 0
hourly ozone
to degree of diumal variation in
greatest variation) and daily mean (1

illustrated in
Figure 4C.1
. Note that
curves
due to
0 0
0 0
0 0
0 0
2 0
0 2
0 0
0 0
0 0
0 0
0 0
0 0
000
052
0 12 2
002
086
066
042
0 10 6
074
020
000
000
0 0
0 0
0 0
2 0
6 0
2 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 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
concentration (see Bohm et al. 1990).
hourly ozone concentrations
• lowest mean; 6 curves
highest mean) as
numeric rounding, the sums of percentages
(A curves -
described by
least variation; E curves
Bohm et al
(1990)
and i
do not always equal 100.

-------
            OLYMPIC NATIONAL PARK (WADOE)



         DOMINANT DIURNAL PATTERNS IN HOURLY

            OZONE CONCENTRATIONS (MAY - OCT)
.o
+•>
.2

o
•o
C
re
*->
V)
C
o

+1
cu
a*
                 180
                  90
  0    6    12   18   23
re
o
C
o
U
I
O
3
O
c
re
180
 90
B1
                   0    6    12   18  23
                        Hour of Day

-------
PACK FOREST
     WASHINGTON
           BIOGRAPHIC INFORMATION
          Latitude
          Longitude
          Elevation (m)
          Basin Height (m)
          Landuse
          City Population
          Basin Population
          Start Summary
          End Summary
          Source of Data
 46.79° N
122.33° W
24
5.5
Rural - Forest
Not In A City
2,240,288
June, 1985
October, 1987
WADOE

-------
                                              Pack Forest
                                          BASIC STATISTICS
  A. BY YEAR (April through October).
        %Data  % Valid
Year    Capt1   Days2   5
                Percentiles and Arithmetic Mean (ppb)
             10     25   SO Meanuid   75     90
                                                 % hours i x (ppb)     Days % x
                                       95    60     80    100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
-
.
40
38
48
-
-
42
-
.
42
41
SI
.
-
45
-
.
10
10
10
.
-
10
-
.
10
10
10
.
-
10
-
.
20
20
20
.
-
20
-
.
30
30
30
.
-
30
-
.
30.3*18
31.9*18
287*16
.
•
30.0*18
-
.
40
40
40
.
•
40
-
.
SO
so
so
.
-
so
•
.
70
70
CO
.
-
60
-
.
8
10
7
.
-
8
-
.
3
4
2
.
-
3
-
.
1
1
0
.
-
1
-
.
0
0
0
-
•
0
-
.
3
1
0
-
-
4
  B.  BY GROWING SEASON (May through October).
I
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
% Data
Capt
-
.
79
76
85
.
.
% Valid
Days 5
-
.
84
60
89
.
.
•
.
10
10
10
.
.
Percentiles and Arithmetic Mean (ppb)
10 25 50 Mean±std 75 90
-
.
10
10
10
.
-
•
.
20
20
20
.
.
-
-
30 30.3*18
30 31.9*18
20 28.0*17
.
.
•
-
40
40
40
-
.
-
.
50
50
50
.
.
95
-
-
70
70
60
-
.
S06*
(ppm
-
.
22
25
19
.
.
S08*
hr)
-
-
10
12
«
.
.
%
60
•
.
8
10
7
.
.
hours t x (ppb) Days t x
80 100 120 120 ppb
-
-
3
4
2
.
.
-
-
1
1
0
.
.
-
-
0
0
0
.
.
-
.
3
1
0
-
.
All Years  80
84   10
10
20
30  30.0*18   40
50
                                    70
 C  BY MONTH 5.
      %D»ta % Valid
Month   Capt   Days   5
             Percentiles and Arithmetic Mean (ppb)
            10    25   SO   Mean*std  75     90
                                          S06 SOS*      % hours i x (ppb)   Days t x
                                     95   (ppm hr)    60   80  100  120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
91 100 10 10 20 30 30.4*14
89 96 10 20 20 30 34.0*16
92 98 10 20 20 30 35.2*19
92 99 10 10 20 20 29.0*19
94 98 10 10 20 30 311*21
95 98 10 10 20 20 26.4*13
90 93 10 10 20 20 23.4*11
40
40
40
40
40
30
30
SO
SO
60
60
60
40
40
SO
70
70
70
70
SO
40
3
S
7
6
8
2
1
1
3
3
3
4
1
0
5
8
13
11
13
3
0
*
1
3
4
3
S
0
0
0
1
1
1
1
0
0
0
0
0
0
0
0
0
1. % Data Capture - # valid hours / (total * hours in averaging period) * 100. Av. period BY YEAR - 8760 hrs; BY C.S. »
Z % Valid Days * * days with 75 % of hours between 09:00 and 21:00 / (total # days) • 100 (Federal Register 1979).
3. Cumulative Index: S06 - r {OjJ/lOOO, where (Oj] is hourly ozone concentrations * 60 ppb (Lee et al. 1988).
4. Cumulative Index SOS * Z [Ojj/1000, where JQjj is hourly ozone concentrations £ 80 ppb (Lee et al. 1988).
5. Statistics for monthly composites over the period of record.
6. Monthly estimate of 506(08) - 506(08) • (# hours in that month) / (# valid hours).
0
0
1
2
1
0
0
4416 hrs.

-------
                                            Pack Forest

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS

A.  BY YEAR (April through October).

         % Days          Percent occurrence of diurnal ozone patterns as defined by Bahm et al (1990) (Figure 4C.1)*
 Year   Unclassified7    A3  A4  AS   A6   Bl  B2  B3   B4   BS  Cl   C2  C3   C4  CS  C6  D4   E5
IOfi/1

IOC?

1O(M
1985
1986
1987
lOfifi
1OQO
All Years





9
18
6

9





12
12
10

11





0
0
1

0





0
5
0

1





0
0
0

0





6
2
7

6





45
47
31

39





IS
15
20

17





3
2
6

4





10
2
6

7





0
2
1

1





3
5
11
:.V*.
7





3
5
6

5





0
0
1

1





2
0
1

1





0
0
0

0





0
0
0

0





0
0
0

0
B.  BY GROWING SEASON (May through October).

         % Days          Percent occurrence of diumal ozone patterns as defined by Behm et al (1990) (Figure 4C.1)*
 Year   Unclassified'     A3  A4  AS   A6   Bl   B2  B3  B4   B5  Cl   C2  C3   C4   C5  C6  D4   E5
loon
10R1
1OR?

1004
1985
1986
1987
1QRS
1989
All Years





9
18
6

-
9





12
12
11

-
11





0
0
1

-
0





0
5
0

-
1





0
0
0

-
0





6
2
7

-
6





45
47
29

-
38





15
15
20

-
17





3
2
6

-
5





10
2
5

-
7





0
2
1

-
1





3
, 5
-12

-
8





3
5
5

-
4





0
0
2

-
1





2
0
1

-
1





0
0
0

-
0





0
0
0

-
0





0
0
0

-
0
C.  BY MONTH (composited over years).
         % Days
 Month   Unclassified'
  Percent occurrence of. diumal ozone patterns as defined by Behro et al (1990) (Figure 4C.1)*
A3  A4   AS  A6  Bl  B2   B3   B4   BS   Cl   C2  C3  C4   C5   C6  D4   E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
-
.
0
7
11
6
7
10
14
.
-
% days with
-
.
0
32
7
0
2
11
27
.
•
unidentified
Pattern identifier relates
-
.
0
4
0
0
0
0
0
.
-
diurnal
to degr
	
.
0 0 0 50 10
0 0 0 16 32
0 0 7 32 27
0 0 12 41 16
3 0 9 31 20
0 0 1 52 IS
0 0 7 43 0
.
•
-
.
0 20
8 4
7 12
3 9
6 16
4 0
0 0
.
•
patterns in hourly ozone concentration
ee of diumal variation in hoi
iriy ozone
-
.
0
0
0
0
2
0
2
-
•
-
.
0
0
0
9
5
10
18
.
-
(see Bahm et
-
.
20 0
0 0
2 2
6 3
5 0
7 0
2 0
.
-
al. 1990).
concentrations (A curves
-
.
0
4
2
0
2
0
0
.
-

- least
-
.
0
0
0
0
0
0
0
.
-

-
.
0
0
0
0
0
0
0
.
•

variation;
-
.
0
0
0
0
0
0
0
.
•

E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by Bohm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
.o
*<->
(0

I
•o
TO
•u
c
03
O
C

6
c
o
N

O
O

ffi

C
w

-------
PIERCE COUNTY
      WASHINGTON
            BIOGRAPHIC INFORMATION
           Latitude
           Longitude
           Elevation (m)
           Basin Height (m)
           Landuse
           City Population
           Basin Population
           Start Summary
           End Summary
           Source  of Data
 47.22° N
122.32° W
14
5.5
Suburban - Residential
Not In A City
2,240,288
April, 1980
October, 1986
AIRS (53-053-0004)

-------
                                                   Pierce County

                                                BASIC STATISTICS
  A  BY YEAR.

         %Data  % Valid
Year      Capt7   Days2    5
     Percemiles and Arithmetic Mean (ppb)
 10     25    50  Mean*std    75     90
             % hours £ x (ppb)       Days t x
  95     60      80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
B. BY
%
42
62
89
70
96
95
81
.
.
-
77
45
65
93
70
97
96
81
.
-
-
78
GROWING
Data
Year Capt
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
78
92
85
50
94
98
95
-
.
-
85
% Valid
Days
83
97
92
50
95
99
96
-
-
-
87
0
0
0
0
0
0
0
.
-
-
0
0
0
0
0
0
0
0
.
-
-
0
SEASON
0
0
0
0
0
0
0
.
.
-
0
(May
10 14.9*15
10 11.4*15
10 123*15
10 12.4*14
10 133*14
10 143*16
10 13.6*15
.
.
•
10 13.2*15
20 40
20 30
20 30
20 30
20 30
30 40
20 30
.
-
-
20 30
40 1
40 2
40 1
40 0
40 0
40 1
40 1
..
.
-
40 1
0 0
1 0
0 0
0 0
0 0
0 0
0 0
.
-
-
0 0
0
0
0
0
0
0
0
.
.
-
0
0
1
0
0
0
0
0
.
-
-
1
through October).
Percentiles and Arithmetic Mean (ppb)
5
0
0
0
0
0
0
0
-
.
-
0
10
0
0
0
0
0
0
0
-
.
-
0
25
0
0
0
0
0
0
0
-
.
•
0
50 Mean*std
10 14.4*14
10 13.6*17
10 133*16
20 16.8*15
20 16.4*15
20 173*17
10 14.0*15
.
.
-
10 15.1*16
75 90
20 30
20 30
20 30
30 40
30 40
30 40
20 40
-
.
-
20 40
S063 S08*
95 (ppra hr)
40 3 1
40 83
40 72
40 2 1
40 20
SO 82
40 5 1
.
.
.
40
% hours
60 80
1 0
2 1
3 0
1 0
1 0
2 0
1 0
-
-
-
2 0
t x (ppb)
Days t x
100 120 120 ppb
0
0
0
0
0
0
0
-
-
-
0
0 0
0 1
0 0
0 0
0 0
0 0
0 0
-
-
-
0 1
  C  BY MONTH5.

       %DaU  % Valid
Month   Oipi    Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25     50  Meansstd   75      90
      S06 SOS*      % hours t x (ppb)   Days t x
95    (ppm hr)    60    80   100    120   120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
93
98
97
88
92
94
88
85
95
96
89
92
94
99
98
91
95
97
91
87
98
98
89
93
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
10
10
0
0
0
0
0
0
0
0
0
10
20
20
20
10
10
10
0
0
0
53*09
9.7*11
133*13
213*16
20.8*15
173*15
15.4*16
16.0*19
10.7*13
7.9*10
83*11
53*09
10
20
20
30
30
30
20
30
20
20
20
10
20
30
30
40
40
40
40
40
30
20
20
20
20
30
30
40
40
40
SO
SO
40
30
30
20
0
0
0
1
1
1
2
3
1
0
0
0
0
0
0
0
1
1
1
1
1
0
0
0
0
0
0
1
1
2
2
4
1
0
0
0
0
0
0
0
0
0
0
1
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
0
1
0
0
0
0
1. % Data Capture * * valid hours / (total * hours in averaging period) • 100.  Av. period BY YEAR - 8760 hrs; BY G.S.
2. % Valid Days - * days with 75 % of hours between 09:00 and 21:00 / (total * days) •  100 (Federal Register 1979).
3. Cumulative Index  S06 « Z [OjJAOOO, where [Oj] is hourly ozone concentrations 2 60 ppb (Lee et al. 1988).
4. Cumulative Index  SOS - Z [Ojj/1000, where [Oj] is hourly ozone concentrations z 80 ppb (Lee et al. 1988).
5. Statistics for monthly composites over the period of record.
6. Monthly estimate of S06{08) - S06(08) • (* hours in that month) / (# valid hours).
                                                                                4416 hrs.

-------
                                         Pierce County

             DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.
% Days
Year Unclassified'
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
8
3
3
5
6
4
5
5
Percent occurrence of diurnal ozone patterns u defined by B&hm et al (1990) (Figure 4C.1)
A3 A4 AS A6 Bl B2 B3 B4 B5 Cl C2 C3 C4 CS C6 D4
1
1
4
3
4
3
5


3
0
0
0
0
0
0
0


0
0
0
0
0
0
0
0


0
0
0
0
0
0
0
0


0
33
49
35
45
41
31
36


41
10
9
10
15
19
17
12


14
1
1
1
1
1
2
1


1
0
0
0
0
0
1
0


0
0
0
0
0
0
0
0


0
14
11
7
9
12
16
15


12
33
17
9
19
13
14
19


16
8
9
11
7
9
14
11


10
1
2
2
0
0
2
0


1
0
0
0
0
0
0
0


0
0
0
0
0
0
0
0


0
0
2
0
0
0
0
0


0
r1
ES
0
0
0
0
0
0
0


0
B. BY GROWING SEASON (May through October).

         % Days          Percent occurrence of diumal ozone patterns as defined by B&hm et al (1990) (Figure •
 Year   Unclassified7    A3  A4  AS   A6   Bl   B2  B3   B4   B5   Cl   C2  C3   C4  C5   C6  D4   E5
1980
1981
1982
1983
1984
1985
1986
lORT
1 70 /
1988
1989
All Years
7
4
4
8
11
3
6

.
-
6
1
1
0
3
6
2
2

.
-
2
0
0
0
0
0
0
0

.
-
0
0
0
0
0
0
0
0

.
-
0
0
0
0
0
0
0
0

.
-
0
35
30
41
21
23
16
29

_
-
26
8
12
6
19
19
16
11

.
-
14
0
1
2
3
2
2
1

.
-
1
0
0
0
0
0
1
0

.
-
0
0
0
0
0
0
0
0

.
-
0
16
13
11
12
13
16
18

.
-
15
36
24
15
27
19
21
21

.
-
23
2
13
20
17
17
24
16

.
-
16
1
2
6
0
1
4
1

.
-
2
0
0
0
0
0
0
0

.
-
0
0
0
0
0
0
0
0

.
-
0
0
3
0
0
0
0
1

.
-
1
0
0
0
0
0
0
0

.
-
0
C. BY MONTH (composited over years).

         % Days          Percent occurrence of diumal ozone patterns as defined by B&hm et al (1990) (Figure
 Month  Unclassified7    A3  A4  A5   A6  Bl  B2   B3  B4   B5   Cl   C2  C3  C4   CS  C6  D4   E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
0
2
7
7
7
10
7
4
4
4
1
1
1
2
4
16
11
1
0
1
0
2
1
1
% days with unidentified
Pattern identifier
relates
0
0
0
0
0
0
0
0
0
0
0
0
diumal
to degr
0 0 86 8 0
0 0 63 16 0
0 0 27 20 1
0 0 7 19 3
0 0 8 27 4
0 0 27 19 3
0 0 27 6 0
0 0 18 6 2
0 0 28 10 0
0 0 55 16 0
0 0 73 19 0
0 0 87 7 1
004
0 0 12
0 0 28
204
1 0 5
006
006
0 0 13
0 0 40
0 0 24
006
004
0
6
19
29
14
20
34
37
21
3
1
1
patterns in hourly ozone concentration (see B&hm et
ee of diurnal variation in hoi
1 0
0 0
2 0
19 1
28 1
22 1
23 3
17 4
1 0
0 0
0 0
0 0
al. 1990).
irty ozone concentrations (A curves
0
0
0
0
0
0
0
0
0
0
0
0

• least
0
0
0
0
0
0
0
0
0
0
0
0

0
0
0
0
0
1
0
3
0
0
0
0

variation;
0
0
0
0
0
0
0
0
0
0
0
0

E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by B&hm et al (1990) and as
      illustrated in Figure 4C1.  Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                      PIERCE COUNTY



          DOMINANT DIURNAL PATTERNS IN HOURLY

             OZONE CONCENTRATIONS (MAY - OCT)
.9

re
'>

•o


"2
re
•o
c
re
O
C
o

+1
0
180





 90
                C1
               180
                90
           \ i
        0    6    12   18   23
          C3
                            0   6    12    18   23
O


(3


-------
PORT ANGELES
     WASHINGTON
           BIOGRAPHIC INFORMATION
          Latitude
          Longitude
          Elevation (m)
          Basin Height (m)
          Landuse
          City Population
          Basin Population
          Start Summary
          End Summary
          Source of Data
 48.12° N
123.43° W
30
0
City Center - Commercial
17,331
529,337
November, 1981
June, 1985
WADOE

-------
                                                   Port Angeles

                                               BASIC STATISTICS
  A.  BY YEAR.

        % Data % Valid
Year     Capt*   Days2   5
                 Percentiles and Arithmetic Mean (ppb)
              10     25    50  Mean±std   75     90     95
                                    % hours t z (ppb)       Days i x
                                60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989

All Years
.
13
89
55
77
42
-
-
-
.

55
.
13
91
56
78
41
-
.
.
.

56
.
0
0
0
0
0
-
.
-
.

0
.
0
0
0
0
1
-
.
.
.

0
.
10
0
10
0
1
.
.
.
.

1
.
10
10
10
1
2
.
.
.
.

2
.
12.0*08
123*11
12.6*08
1.0±01
1.9±01
-
.
.
.

7.6±09
.
20
20
20
2
3
-
.
-
.

10
.
20
30
20
2
3
-
.
.
.

20
.
30
30
30
2
4
-
.
.

••'i'.' .
30
.
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
  B.  BY GROWING SEASON (May through October).
i
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
% Data
Capt
.
.
88
77
92
27
-
-
.
.
% Valid
Days 5
.
.
89
77
93
26
.
.
.
.
.
.
0
0
0
1
.
.
_
.
Percentiles and Arithmetic Mean (ppb)
10 25 50 Meanistd 75 90
.
.
0
0
0
1
.
.
_
.
.
.
0
10
0
2
.
-
.
.
.
.
10
10
1
2
.
-
.
.
.
.
13.3*11
13.7±09
1.0*01
23*01
-
-
.
.
.
.
20
20
2
3
-
.
.
.
.
.
30
20
2
4
-
-
.
.
S063
95 (ppm
.
.
30
30
2
4
-
-
.
V
.
.
1
0
0
0
-
-
.
-
SOS*
hr)
.
.
0
0
0
0
-
.
.
.
%
60
.
-
0
0
0
0
-
.
.
.
hours i x (ppb) Days £ x
80 100 120 120 ppb
.
-
0
0
0
0
-
.
.
.
.
.
0
0
0
0
-
.
.
.
.
-
0
0
0
0
.
.
, .
.
.
.
0
0
0
0
.
.
.
.
All Years  71
71
8.4*10    10
20
30
  C  BY MONTH 5.

       %Data  % Valid
Month    Capt   Days   5
               Percentiles and Arithmetic Mean (ppb)
             10    25    50   Meanistd  75     90
                            S06  SOS6      % noun t x (ppb)   Days * x
                       95   (ppmhr)    60   80   100   120   120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
63
91
99
95
93
87
97
98
86
79
75
95
65
92
100
94
94
87
98
99
86
80
76
96
0
0
0
1
0
0
0
0
0
0
0
0
0 (
0
1
1
1
0
0
0
0 (
0 (
0 (
0
) 1
2
2
I 2
2
3
10
10
) 10
1 0
J -10
) 10
4.8*07
4.8*07
63*08
9.2*12
9.6*12
8.9*10
95*09
9.2*09
7.8*09
43*07
7.1*08
8.2*08
10
10
10
20
20
20
20
20
10
10
10
10
20
20
20
30
30
20
20
20
20
15
20
20
20
20
30
30
30
30
20
30
30
20
20
20
0
0
0
0
0
1
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
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
0
0
0
0
0
0
0
0
0
0
1.  % Data Capture - * valid hours / (total * hours in averaging period) * 100. Av. period BY YEAR • 8760 hry BY G.S. - 4416 hn.
^  % Valid Days - # days with 75 % of hours between 09:00 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index  S06 - I [OjJAOOO, where [Oj] is hourly ozone concentrations 2 60 ppb (Lee et al. 1988).
4.  Cumulative Index  SOS - Z [OjJ/1000, where [Oj] is hourly ozone concentrations 1 80 ppb (Lee et al. 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of S06(08) -  506(08) • (# hours in that month) / (# valid hours).

-------
                                           Port Angeles

              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR.

         % Days
 Year   Unclassified7
   Percent occurrence of diumal ozone patterns as defined by Bfihm et al (1990) (Figure
A3  A4   AS   A6  Bl  B2   B3  B4   B5   Cl   C2  C3   C4   C5  C6  D4
                                                                       E5
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
B. BY
Year
19SO
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
0
5
7
0
0
3
GROWING
% Days
Unclassified-'
4
9
0
0
4

0
4
1
0
0



2

0
0
0
0
0



0

0
0
0
0
0



0

0 78 19
0 59 25
0 66 23
0 100 0
0 100 0



0 80 13

0
0
0
0
0



0
SEASON (May through October).
Percent occurrence of diumal ozone
A3 A4 A5 A6 Bl B2 B3


4
2
0
0


2


0
0
0
0


0


0
0
0
0


0


0 53 27
0 59 26
0 100 0
0 100 0


0 74 15


1
0
0
0


0

0
0
0
0
0



0

0
0
0
0
0



0
patterns as
B4 BS


1
0
0
0


0


0
0
0
0


0

3
4
6
0
0



3
defined
Cl


6
9
0
0


4

0
5
2
0
0



2

0
2
1
0
0



1
by Behm
C2 C3


7
3
0
0


3


3
1
0
0


1

0
0
0
0
0



0
et al
C4


0
0
0
0


0

0
0
0
0
0



0
(1990)
cs


0
0
0
0


0

0
0
0
0
0



0
(Figure
C6


0
0
0
0


0

0 0
0 0
0 0
0 0
0 0



0 0
4C.1)2
D4 E5


0 0
0 0
0 0
0 0


0 0
C  BY MONTH (composited over years).
         % Days
 Month   Unclassified^
   Percent occurrence of diumal ozone patterns as defined by Bbhm et al (1990) (Figure 4C.1)2
A3  A4   AS   A6  Bl  B2   B3  B4   B5   Cl  C2  C3  C4   C5  C6  D4  E5
Jan
Feb
Mar
Apr
May
Jun
Jut
Aug
Sep
Oct
Nov
Dec
1.
2.
0
3
6
4
2
4
6
5
0
4
2
0
0
0
0
8
6
1
1
1
0
0
0
0
% days with unidentified
Pattern identifier
relates
0
0
0
0
0
0
0
0
0
0
0
0
diurnal
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
patterns in
94 6
94 5
85 12
72 18
64 19
74 18
70 21
70 16
74 16
96 0
87 11
87 13
0
0
0
0
1
0
0
0
0
0
0
0
0 0
0 0
0 0
0 0
0 0
1 0
0 0
0 0
0 0
0 0
0 0
0 0
hourly ozone concentration
to degree of diurnal variation
in hoi
iriy ozone
0 0
0 2
2 1
0 1
1 4
3 2
7 0
5 7
5 4
4 0
2 0
0 0
(see B&hra et al.
concentrations i
0 0
0 0
0 0
1 0
4 0
1 0
1 0
0 0
0 0
0 0
0 0
0 0
1990).
(A curves
0
0
0
0
0
0
0
0
0
0
0
0

- least
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
0
0

variation; E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by Bohm et al (1990) and as
      illustrated in Figure 4C.1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                     PORT ANGELES


          DOMINANT DIURNAL PATTERNS IN HOURLY
            OZONE CONCENTRATIONS (MAY - OCT)
c
.o
*4_l
TO

I
•o
TO
•o
c
TO
*-<
C/3
o
+1

2s
ex
c
2
o
c

a
o
o
N
O
,

1
33
c
TO
                  180
                  90
          B2
                    0   6    12   18   23
180
 90
B1
  0    6    12   18  23
                        Hour of Day

-------
SNOHOMISH COUNTY
      WASHINGTON
               BIOGRAPHIC INFORMATION
              Latitude
              Longitude
              Elevation (m)
              Basin Height (m)
              Landuse
              City Population
              Basin Population
              Start Summary
              End Summary
              Source of Data
 48.07° N
121.98° W
120
5.5
Rural - Agricultural
Not In A City
2,240,288
May, 1980
October, 1986
AIRS (53-061-2001)

-------
                                                    Snohomish
                                              BASIC STATISTICS
  A.  BY YEAR (April through November).
        %Data  % Valid
Year     Capt'   Days2   5
    Percentiles and Arithmetic Mean (ppb)
 10     25    50  Mean*std    75     90
             % hours t x (ppb)       Days 2 x
   95     60     80     100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
33
44
54
41
51
45
41
.
.
-
44
34
46
56
41
51
45
41
.
.
-
45
0
0
0
0
0
0
0
.
.
-
0
0
0
0
0
0
0
0
.
.
-
0
10
0
0
0
10
10
0
.
.
-
0
10
10
20
10
20
20
10
.
.
-
20
163*13
16.6*15
18.6*17
13.1*12
17.7*14
20.8*17
16.9*16
.
.
-
173*15
20
30
30
20
30
30
30
.
.
-
30
30
40
40
30
40
40
40
.
-
-
40
40
40
50
40
40
50
50
.
.
-
40
0
2
3
0
1
4
2
.
.
•
2
0
0
1
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
  B.  BY GROWING SEASON (May through October).
       % Data % Valid
Year    Capt    Days    5
  Percemiles and Arithmetic Mean (ppb)
10    25    50  Mean±std  75     90
     S06*  S08*     % hours i x (ppb)   Days z x
95   (ppm hr)    60    80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
65
88
91
81
93
89
76
-
-
-
83
68
91
95
82
94
90
76
-
-
-
85
0
0
0
0
0
0
0
-
-
-
0
0
0
0
0
0
0
0
-
-
-
0
10
0
0
0
0
10
0
.
.
•
0
10
10
10
10
20
20
10
.
.
-
10
16.3*13
16.6*15
173*17
13.1*12
18.0*14
20.8*17
16.5*17
-
-
-
17.0*15
20
30
30
20
30
30
30
.
-
-
30
30
40
40
30
40
40
40
-
-
-
40
40
40
50
40
40
50
50
-
-
-
40
1
5
8
1
3
10
6
-
-
-
-
0
1
3
1
0
2
1
-
-
-
-
0
2
3
0
1
4
3
-
-
-
2
0
0
1
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
  C.  BY MONTH 5.

       % Data % Valid
Month    Capt   Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50   Mean*std  75     90
      S06 SOS*      % hours £ x (ppb)   Days £ x
 95   (ppmhr)    60   80   100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
*
60
89
84
89
93
81
64
48
-
-
63
92
86
91
95
82
65
47
•
•
0
0
0
0
0
0
0
0
•
•
10
0
0
0
0
0
0
0
-
-
20
10
10
10
0
0
0
10
-
"
30
20
20
10
10
10
10
20
-
™
26.2*13
23.5*15
20.1*15
16.9*16
17.0*17
12.0*13
10.6*11
14.2*10
•
-
30
30
30
30
30
20
20
20
-
"
40
40
40
40
40
30
30
20
-
*
50
SO
50
50
50
40
30
30
•
-
1 <
1
2
2
2
1
1 1
0 <
"
" "
) 1
2
2
2
4
0
) 0
) 0
•
*
0
0
1
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
-
1.  % Data Capture - # valid hours / (total * hours in averaging period) • 100.  Av. period BY YEAR - 8760 hrs; BY G.S. - 4416 hrs.
2.  % Valid Days - # days with 75 % of hours between 09:00 and 21:00 / (tout # days) • 100 (Federal Register 1979).
3.  Cumulative Index:  S06 - I [
-------
                                       Snohomish County
             DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A.  BY YEAR (April through November).
         % Days
 Year   Unclassified*
   Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure 4C.1)2
A3  A4  AS  A6   Bl  B2  B3   B4   B5   Cl  C2  C3   C4   CS  C6  D4   E5
1980
1981
1982
1983
1984
1985
1986
10R7
1988
IQfiO
All Years
B. BY

Year
1980
1981
1982
1983
1984
1985
1986
IQft?
1QRR
1QRQ
All Years
12
13
7
11
11
9
8

.

10 .
GROWING
% Days
Unclassified'
12
13
8
11
12
9
7



10
0
2
5
1
3
2
1

.

2
0
0
0
0
0
0
0

.

0
SEASON
0
0
0
0
0
0
0

.

0
(May
0
0
0
0
0
0
0

.

0
28 9
26 23
27 14
34 16
24 27
11 19
29 18

.

25 19
2
2
6
0
1
10
4

.

4
0
0
1
0
1
1
1

.

1
0 15
0 7
1 12
0 23
0 16
1 10
0 8

.

0 13
28 18
20 19
9 22
17 8
10 18
15 24
12 26

;.;t(.

14 20
0
2
3
1
0
4
2

.

2
0
0
0
0
0
0
0

.

0
0
0
0
0
0
0
0

.

0
0
0
1
0
0
2
0

.

0
0
0
0
0
0
0
0

.

0
through October).
Percent occurrence
A3
0
2
3
1
4
2
1



2
A4
0
0
0
0
0
0
0



0
AS
0
0
0
0
0
0
0



0
A6
0
0
0
0
0
0
0



0
of diurnal
Bl B2
28 9
26 23
31 13
34 16
20 27
11 19
30 16



25 18
ozone
B3
2
2
4
0
1
10
4



4
patterns
as defined
B4 B5 Cl
0
0
1
0
1
1
1



1
0 15
0 7
1 13
0 23
0 17
1 10
0 8 v.



0 13
by B&hm
C2 C3
28 18
20 19
9 21
17 8
11 20
15 24
12 26



15 20
et al
C4
0
2
4
1
0
4
2



2
(1990)
CS
0
0
0
0
0
0
0


•
0
(Figure
C6
0
0
0
0
0
0
0



0
4C.1)2

D4 E5
0
0
1
0
0
2
0



0
0
0
0
0
0
0
0



0
C. BY MONTH (composited over years).
         % Days
 Month   Unclassified'
  Percent occurrence of diurnal ozone patterns as defined by B&hm et al (1990) (Figure
A3  A4   AS  A6   Bl  B2  B3  B4   B5   Cl   C2  C3  C4   CS  C6  D4
                                                                        E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
•
.
10
9
14
13
9
10
4
0
-
% days with
-
.
12
9
2
0
0
0
0
p
-
unidentified
Pattern identifier relates
-
.
0
0
0
0
0
0
0
0
-
diurnal
to degr
.
.
004
007
0 0 18
0 0 35
0 0 20
0 0 27
0 0 48
0 0 57
•
-
.
35 15
32 5
35 5
12 5
7 v 5
9 0
17 0
36 0
-
.
.
000
4 1 2
0 1 5
007
0 0 10
0 0 36
0 0 25
007
•
.
.
4 31 0
5 33 1
8 22 4
16 22 2
24 29 4
26 2 0
820
000
-
-
.
0
0
0
0
0
0
0
0
-
-
.
0
0
0
0
0
0
0
0
•
-
.
0
0
2
1
0
0
0
0
-
-
-
0
0
0
0
0
0
0
0
•
patterns in hourly ozone concentration (see B&hm et al. 1990).
ee of diurnal variation in hoi
irty ozone concentrations (A curves
- least
variation;
E curv
      greatest variation) and daily mean (1 curves • lowest mean; 6 curves highest mean) as described by B&hm et al (1990) and as
      illustrated in Figure 4C1.  Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                    SNOHOMISH COUNTY


           DOMINANT DIURNAL PATTERNS IN HOURLY
             OZONE CONCENTRATIONS (MAY - OCT)
.o
4->
.2
"O
•H
P3
•o
C
2
in
0)
C
o

180i




90


 4-1
 C
 .o
 °4— >
 to
 o

 <§
 o
 c
 o
 N
 O
o
ffi
c
03
(U
s
                C2
                               180



                                90
                                    B2
        0    6    12   18  23
                            0    6   12   18   23
180
 90
                                180
                                90
                                     B1
             6    12    18   23
                                 6    12   18   23
                           Hour of Day

-------
SPOKANE
      WASHINGTON
         BIOGRAPHIC INFORMATION
        Latitude
        Longitude
        Elevation (m)
        Basin Height (m)
        Landuse
        City Population
        Basin Population
        Start Summary
        End Summary
        Source of Data
 47.67° N
117.42° W
584
461.5
Suburban - Residential
171,300
625,936
April, 1980
September, 1986
AIRS (53-063-0013)

-------
                                                      Spokane

                                               BASIC STATISTICS
  A.  BY YEAR (March through October).
        %Data % Valid
Year     Capt7   Days2   5
    Percentiles and Arithmetic Mean (ppb)
 10     25    SO  Meanastd   75     90
           % noun i z (ppb)       Days i x
95     60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Year*
47
53
45
43
47
40
20
.
.
-
42
49
54
48
44
47
41
19
.
.
-
43
0
0
0
0
0
0
0
-
.
-
0
0
0
0
0
0
0
0
.
.
-
0
0
10
10
0
0
10
10
.
.
-
10
10
20
20
20
20
30
30
.
.
-
20
15.1*13
24.0*15
22J*15
17.7*14
183*15
26.8*18
29.0*19
.
.
-
213*16
20
30
30
30
30
40
40
.
.
-
30
30
40
40
40
40
50
50
.
.
•
40
40
50
50
40
40
60
60
.
.
-
50
0
2
2
0
1
5
8
-
-
•
2
0
0
0
0
0
0
1
.
-
-
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
  B.  BY GROWING SEASON (May through October).
       % Data  % Valid
Year    Capt    Days   5
  Percentiles and Arithmetic Mean (ppb)
10    25    50  Meanxstd  75     90
     S063  S08*
95   (ppra hr)    60
                    hour* i x (ppb)   Days * s
                    80   100   120  120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
C. BY
%
Month
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
86
81
70
85
87
70
39
-
.
-
74
91
84
74
87
88
71
39
-
.
-
76
0
0
0
0
0
0
0
.
-
-
0
0
0
0
0
0
0
0
-
-
-
0
0
10
10
0
0
10
10
.
.
-
10
10 153*13
20 23.5*17
20 22.4*16
20 17.7*14
20 17.7*15
30 26.6*18
30 29.0*19
-
-
-
20 20.9*16
20
40
30
30
30
40
40
-
-
-
30
30
40
40
40
40
50
50
-
-
-
40
40
50
50
40
40
60
60
-
-
-
50
1
6
5
1
3
12
10
-
-
-
-
0
1
0
0
0
1
2
.
-
-
•
0
3
2
0
1
6
8
-
-
-
2
0
0
0
0
0
0
1
-
-
-
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
MONTH5.
Data
Capt
.
.
37
64
91
82
78
94
79
62
.
-
% Valid
Days
.
.
37
67
95
85
79
95
81
62
.
•

5
.
.
10
0
0
0
0
0
0
0
.
•

10
.
.
10
0
0
0
0
0
0
0
.
•
Percentiles
25
.
.
10
10
10
10
10
10
0
0
.
•
•nd Arithmetic
Mean (p
SO Mean*std 75
.
.
20 21.5*09
30 243*14
30 25.0*16
20 233*15
20 22.9*16
20 23.6*19
10 14.6*13
0 8.6*11
-
•
-
.
30
30
40
30
30
40
20
20
-
-
Pb)
90
.
.
30
40
40
40
40
SO
30
20
-
•

95
.
.
40
40
SO
SO
SO
60
40
30
-
•
S06
(PP'
.
.
0
1
2
1
2
3
1
1
-
•
SOS*
nhr)
.
.
0
0
1
1
1
1
0
0
-
•
91
60
.
.
0
0
2
2
2
6
0
0
-
•
> hours
80
.
.
0
0
0
0
0
1
0
0
-
•
I X (p
100
.
.
0
0
0
0
0
0
0
0
.
-
Pb)
120
.
.
0
0
0
0
0
0
0
0
.
-
Days t x
120 ppb
.
.
0
0
0
0
0
0
0
0
.
-
1.  % Data Capture - # valid hours / (total # hours in averaging period) • 100. Av. period BY YEAR - 8760 hrs; BY G.S. -= 4416 hrs.
2.  % Valid Days - # days with 75 % of hours between 09:00 and 21:00 / (total * days) * 100 (Federal Register 1979).
3.  Cumulative Index  S06 « I (OjJ/1000, where [Oj] is hourly ozone concentrations t 60 ppb (Lee et al. 1988).
4.  Cumulative Index:  SOS - I (OjJ/lOOO, where [Oj] is hourly ozone concentrations i 80 ppb (Lee et al. 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of S06(08) -  506(08) • (# hours in that month) / (* valid hours).

-------
                                           Spokane

             DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS

A.  BY YEAR (March through October).

         % Days         Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure
 Year   Unclassified7    A3  A4  AS  A6  Bl  B2  B3   B4   B5  Cl  C2  C3   C4  CS   C6 D4  £S
1980
1981
1982
1983
1984
1985
1986
IOC?
lOftfl
lOfiO
All Years
B. BY

Year
1980
1981
1982
1983
1984
1985
1986
1QRT
IQftfi
1989
All Years
4
4
4
5
7
3
11



5
GROWING
% Days
Unclassified7
4
3
4
5
6
3
11


-
5
0
12
4
0
7
13
5



7
0
0
0
0
0
1
0



0
SEASON
0
0
0
0
0
0
0



0
(May
0
0
0
0
0
0
0



0
26 12
11 23
6 26
18 25
18 17
2 17
0 11



11 20
0
8
6
1
2
13
23



7
0
2
0
0
1
7
11



2
0 34
0 3
0 3
0 19
0 13
0 3
0 2



0 10
18 9
2 30
12 36
19 18
14 27
9 25
2 27



11 26
0
9
6
0
1
11
18



6
0
0
0
0
0
0
0



0
0
0
0
0
0
0
0



0
0
0
0
0
0
0
2



0
0
0
0
0
0
0
0



0
through October).
Percent occurrence
A3
0
6
3
0
5
9
5


-
4
A4
0
0
0
0
0
1
0


-
0
AS
0
0
0
0
0
0
0


-
0
A6
0
0
0
0
0
0
0


-
0
of diurnal
Bl B2
26 12
13 21
6 22
18 25
19 18
2 18
0 11


-
13 19
ozone
B3
0
7
6
1
2
14
23


-
6
patterns
as defined
B4 B5 Cl
0
2
0
0
1
6
11


-
2
0 34
0 4
0 4
0 19
0 14
0 4
0 2


-
0 11
by B&hm
C2 C3
18 9
3 32
11 42
19 18
15 27
6 27
2 27


-
11 27
et al
C4
0
11
7
0
1
13
18


-
6
(1990)
C5
0
0
0
0
0
0
0


-
0
(Figure
C6
0
0
0
0
0
0
0


-
0
4C1)2

D4 E5
0
0
0
0
0
0
2


-
0
0
0
0
0
0
0
0


-
0
C BY MONTH (composited over years).
         % Days
 Month  Unclassified7
  Percent occurrence of diumal ozone patterns as defined by B&hm et al (1990) (Figure
A3  A4  AS   A6  Bl  B2  B3  B4   B5   Cl  C2  C3   C4   C5   C6 D4   E5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.

-
18
5
7
7
4
4
3
3
.
•
% days with

.
14
28
16
4
2
4
1
0
.
-
unidentified
Pattern identifier relates

.
0 0
0 0
1 0
0 0
0 0
0 0
0 0
0 0
.
•

.
0
0
0
0
0
0
0
0
.
•
diurnal patterns in

.
7 64 0 0
3 22 10 4
4 24 10 3
4 30 12 6
6 22 10 2
5 14 6 3
24 17 1 0
47 3 0 0
.
-

.
0 0
0 0
0 0
0 1
0 1
0 3
0 31
0 44
.
-

.
14
10
4
8
10
14
19
6
.
-

.
0 0
23 1
30 9
29 6
38 10
40 11
7 0
0 0
.
-

.
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
.
-

.
0
0
0
0
0
1
0
0
.
-

.
0
0
0
0
0
0
0
0
.
-
hourly ozone concentration (see Bbhm et al. 1990).
to degree of diumal variation in hourly ozone concentrations
greatest variation) and daily mean (1

illustrated in
Figure 4C.1
. Note that
curves
due to
- lowest mean; 6 curves
highest mean) as
numeric rounding, the sums of percentages
(A curves -
described by
least variation;
Bbhm et al
E curves •
(1990) and as
do not always equal 100.

-------
.o

CO
'>

•o

•o

03
•o
C
«
1/5
O
CL
c
to
'Z3

2
o

a
I
O
o
ffi
c
co
                          SPOKANE



           DOMINANT DIURNAL PATTERNS IN HOURLY

             OZONE CONCENTRATIONS (MAY - OCT)
       180
       90
           C1
        Qli l i i
                  12   18   23
180
       90
                 B1
         0    6    12    18   23
             180
              90
                       •H-H-
                                 180
                           90
           C2
                            Ql I I I 11 I I
180
                           90
                                       12    18   23
B2
                             0    6    12    18   23
                      0    6   12   18   23
                          Hour of Day

-------
STAMPEDE PASS
     WASHINGTON
            BIOGRAPHIC INFORMATION
           Latitude
           Longitude
           Elevation (m) .
           Basin Height (m)
           Landuse
           City Population
           Basin Population
           Start Summary
           End Summary
           Source of Data
 47.28° N
121.34° W
1217
5.5
Remote
Not In A City
2,240,288
June, 1988
October, 1988
EPA (U. OF WA.)

-------
                                                  Stampede Pass

                                               BASIC STATISTICS
  A.  BY YEAR (June through October).
        %Data % Valid
Year     Capt7   Days2    5
     Percemiles and Arithmetic Mean (ppb)
  10     25    50  Mean±ftd   75     90
                                                % hours i z (ppb)      Days £ x
                                     95     60     80     100   120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988 32
1989
All Years 32
.
-
-
.
-
.
•
.
31 20
-
31 20
.
.
.
-
.
.
-
.
20
-
20
.
.
.
.
.
.
...
...
30 30 357*14
.
30 30 357*14
.
.
.
.
.
.
-
.
40
-
40
.....
.
.
....
.
.
.
....
SO 60 7 0 00
.
50 60 7 0 0 0
.
.
.
-
.
.
-
.
1
•
1
  B.  BY GROWING SEASON (June through October).
       % Data  % Valid
Year    Capt    Days   5
   Percentiles and Arithmetic Mean (ppb)
 10    25    50  Mean±std  75     90
                                        S06-* SOS*     % hours 2 x (ppb)   Days 2 x
                                   95    (ppm hr)    60    80   100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
.
.
.
.
.
.
.
.
63 63 20 20 30
.
... . .
.
.
.
.
.
.
.
30 357*14 40 50 60 13 2
.
.
.
.
.
.
.
.
.
7000
.
.
.
-
.
.
-
-
.
1
-
All Yean  63     63   20
20
30
30   35.2*14   40
50
60
  C  BY MONTH5.

       %Data  % Valid
Month    Capt   Days   5
   Percentiles and Arithmetic Mean (ppb)
10    25    50   Mean*std  75     90
                                         S06 SOS*      % hours t x (ppb)   Days i x
                                   95    (ppmhr)     60   80    100   120  120 ppb
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
-
-
38
99
97
99
75
.
-
-
•
37
97
97
100
78
.
•
-
-
10
0
20
20
20
.
•
-
-
20
20
20
25
20
.
-
-
-
20
20
30
30
30
-
-
-
-
30
40
30
30
40
-
•
-
-
30.3*12
347*18
35.9*13
37.0*12
36.1*10
-
•
-
-
40
50
40
40
40
.
-
-
-
50
SO
50
60
50
-
•
-
-
50
60
60
60
50
.
•
-
-
1
4
4
6
1
.
•
-
-
0
2
1
0
0
-
•
-
-
1
6
7
12
1
.
•
-
-
0
1
0
0
0
.
•
-
-
0
1
0
0
0
•
•
•
-
0
0
0
0
0
.
-
-
-
0
1
0
0
0
.
•
1.  % Data Capture - * valid hours / (total * hours in averaging period) • 100.  Av. period BY YEAR - 8760 hrs; BY G.S.
2  % Valid Days - # days with 75 % of hours between 09:00 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index:  S06 - X [OjJ/1000, where [Oj] is hourly ozone concentrations £ 60 ppb (Lee et al. 1988).
4.  Cumulative Index:  SOS - Z (
-------
                                          Stampede Pass


              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS

A.  BY YEAR (June through October).

         % Days          Percent occurrence of diurnal ozone patterns as defined by Bdhm et al (1990) (Figure 4C.1)2
 Year   Unclassified'    A3  A4  AS   A6   Bl   B2  B3   B4   BS   Cl  C2  C3   C4  CS   C6  D4   E5


 1980        -         .................
 1981        -         .................
 1982        -         .................
 1983        -         .................
 1985
 1987        -         .................
 1988        2        41150033334100000000
 1989        -         ............    .....

All Years      2        41   15    003   33   34100000000
B. BY GROWING SEASON (June through October).

         % Days          Percent occurrence of diurnal ozone patterns as denned by B&hm et al (1990) (Figure 4C.1)*
 Year   Unclassified7     A3  A4  AS   A6   Bl   B2  B3   B4   B5   Cl  C2  C3   C4  C5   C6  D4   E5


 1980        -          	
 1981        -          	
 1982        -          	
 1983        -          	
 1984        -          	
 1985        -          	
 1986        -          	
 1987        -          	
 1988        2         41   15    003   33   34100000000
 1989        -          	

All Years      2         41   15    003   33   34100000000
C BY MONTH (composited over years).
% Days
Month Unclassified7
Jan
Fcb
Mar
Apr
May
Jun
Jul
Aug
Scp
Oct
Nov
Dec
1.
2.
-
.
10
4
0
0
0
.
-
Percent
A3 A4
-
.
22 11
32 12
45 17
41 17
70 10
.
-
% days with unidentified diurnal
Pattern identifier relates to degr
occurrence
AS A6
-
.
0 0
0 0
0 0
0 0
0 0
.
V
of diurnal ozone patterns as defined by Bdhm et al (1990) (Figure 4C1)2
Bl B2 B3 B4 BS Cl C2 C3 C4 C5 C6 D4 E5
-
.
0 56
4 36
3 31
0 38
10 0
.
-
-
.
11
4
0
0
10
.
•
-
.
0 0
8 4
3 0
3 0
0 0
.
-
patterns in hourly ozone concentration
ee of diurnal variation in hourly ozone
-
.
0 0
0 0
0 0
0 0
0 0
.
-
(see Btihm et al,
concentrations i
•
.
0 0
0 0
0 0
0 0
0 0
.
-
1990).
(A curves -
-
.
0
0
0
0
0
.
-
least
-
.
0
0
0
0
0
.
-
-
.
0
0
0
0
0
.
-
variation;
-
.
0
0
0
0
0
.
-
E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by Bfihm et al (1990) and as
      illustrated in Figure 4C.1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
                     STAMPEDE PASS


         DOMINANT DIURNAL PATTERNS IN HOURLY
            OZONE CONCENTRATIONS (JUN - OCT)
.0
'&
C3


'I
                  180
                  90
          A4
                    0    6    12   18  23
T3
C
CO
*J
tO

V
C
o

+1

C
0)
o
180
                  90
B2
  0    6   12    18   23
C
8
o
C
s
180
                  90
A3
                    0   6    12   18  23
                        Hour of Day

-------
 YELLOWSTONE
NATIONAL PARK
       WYOMING
            BIOGRAPHIC INFORMATION
           Latitude
           Longitude
           Elevation (m)
           Basin Height (m)
           Landuse
           City Population
           Basin Population
           Start Summary
           End Summary
           Source of Data
 44.56° N
110.39° W
2484
2461.5
Rural - Forest
Not In A City
222,914
June, 1987
July, 1989
National  Park Service

-------
                                          Yellowstone National Park
                                              BASIC STATISTICS
  A.  BY YEAR.

        %DaU  % Valid
Year     Capt;    Days2    5
   Percentiles and Arithmetic Mean (ppb)
10     25   SO  Meanistd   75     90     95
    % hours 2 x (ppb)      Days 2 x
60     80    100    120   120 ppb
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
-
-
48
79
25
51
-
.
51
80
25
52
-
-
15
17
11
14
-
-
20
22
13
17
-
-
27
30
IS
27
-
.
35
37
30
35
-
.
34.0*11
373*12
28.9*14
34.8*12
-
.
41
45
39
43
-
.
47
52
48
SO
-
.
SI
56
54
54
-
.
1
2
1
2
-
-
0
0
0
0
-
.
0
0
0
0
-
.
0
0
0
0
-
.
0
0
0
0
  B. BY GROWING SEASON (May through October).
% Data
Year Capt
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
All Years
-
-
68
82
23
58
% Valid
Days 5
-
.
71
84
22
59
-
.
15
15
16
15
Percentiles and Arithmetic Mean (ppb)
10 25 50 Meanistd 75 90
-
-
20
18
21
19
•
.
27
26
29
27
-
-
35
35
40
36
-
.
34.9*12
35.0*13
383*12
35.4*12
•
-
43
44
47
44
-
-
49
52
54
51
95
•
-
52
56
57 V
55
S06*
(ppm
-
-
3
5
2
-
S08*
hr)
-
-
1
1
0
-
60
-
-
1
2
2
2
hours 2 x (ppb) Days t x
80 100 120 120 ppb
-
.
0
0
0
0
•
-
0
0
0
0
-
.
0
0
0
0
-
-
0
0
0
0
  C.  BY MONTH5.
% Data
Month Capt
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
64
16
96
44
54
57
87
93
59
94
93
81
% Valid
Days 5
63
14
97
47
SO
59
91
95
60
100
95
82
28
12
10
33
24
14
13
15
15
16
17
20
Percentiles and Arithmetic Mean (ppb)
10 25 50 Meanistd 75 90
30
13
12
37
28
18
17
19
19
20
23
25
33
15
15
41
35
25
25
28
25
26
28
31
36
35
28
47
44
35
36
37
32
32
33
34
36.1*05
28.0*12
30.5*17
47.6*10
43.2*11
35.1*13
34.9*13
36.7*13
33.4*12
31.9*09
313*08
33.2*07
39
39
47
S3
52
44
45
46
41
38
37
37
42
42
51
59
S7
52
SI
52
48
43
39
40
95
43
42
54
65
58
56
55
55
52
45
42
41
S06 $08*
(ppm hr)
0
0
2
5
2
2
2
I
1
0
0
0
0
0
0
1
0
1
0
1
1
0
0
0
%
60
0
0
3
9
3
3
2
2
1
0
0
0
hours
80
0
0
0
1
0
0
0
0
0
0
0
0
2 x (ppb) Days 2 x
100 120 120 ppb
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
0
0
1.  % Data Capture «= * valid hours / (total * hours in averaging period) • 100.  Av. period BY YEAR •= 8760 hrs; BY G.S. - 4416 hrs.
2.  % Valid Days - * days with 75 % of hours between 09:00 and 21:00 / (total * days) • 100 (Federal Register 1979).
3.  Cumulative Index  S06 - r [Oj]/1000, where [Oj] is hourly ozone concentrations i 60 ppb (Lee et al. 1988).
4.  Cumulative Index  $08 • Z {OjJAOOO, where [Oj] is hourly ozone concentrations 2 80 ppb (Lee et al. 1988).
5.  Statistics for monthly composites over the period of record.
6.  Monthly estimate of 506(08) - $06(08) • (# hours in that month) / (# valid hours).

-------
                                   Yellowstone National Park
              DIURNAL PATTERNS IN HOURLY OZONE CONCENTRATIONS
A  BY YEAR.

         %Days
 Year   Unclassified7
                       Percent occurrence of diurnal ozone patterns as defined by Behm et al (1990) (Figure
                    A3  A4   AS   A6  Bl  B2   B3  B4   B5   Cl  C2  C3  C4   CS   C6  D4  E5
IOC/1

«OQ'>


19fK
OR*
1987
1988
1989
All Years







8
8
1
7







44
36
26
37







3
20
0
n







0
0
0
0







0
0
0
0







i
0
29
5







21
11
16
IS







17
16
19
16







10
12
10
11







1
2
1
2







0
0
0
0







0
0
0







2
2
0
2







0
0
0
0







0
0
0
0







0
0
0
0







0
0
0
0







0
0
0
0
B.  BY GROWING SEASON (May through October).
        % Days
Year    Unclassified7
                         Percent occurrence of diumal ozone patterns as defined by B&hm et al (1990) (Figure
                      A3  A4  A5   A6   Bl   B2  B3   B4   BS   Cl   C2  C3   C4  C5  C6  D4   E5

1QR1
1QQ'?

1QR4

IQftt
1987
1988
1989
All Years







11
14
4
12







33
11
16
21







4
9
0
6







0
0
0
0







0
0
0
0







0
1
0
0







18
17
4
16







25
32
48
30







14
22
28
19







2
4
4
3






• v
0
0
0
0







1
0
0
0







3
4
0
3







0
0
0
0







0
0
0
0







0
0
0
0







0
0
0
0







0
0
0
0
C.  BY MONTH (composited over years).
         % '  ys
 Month   Unt . ssified*
                       Percent occurrence of diumal ozone patterns as defined by B&hm et al (1990) (Figure
                     A3  A4  AS  A6   Bl  B2   B3  B4   B5   Cl   C2  C3  C4   CS  C6  D4   £5
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
1.
2.
0
0
0
4
8
11
18
11
11
7
0
0
% days with
91
SO
8
23
9
12
8
12
25
60
70
82
unidentified
Pattern identifier relates
0
0
41
68
32
0
2
12
0
0
2
0
diumal
to degr
0 0
0 0
0 0
5 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
0 0
patterns in
0 6
37 12
35 14
0 0
0 0
2 5
0 12
0 10
0 33
0 36
2 24
0 16
3
0
0
0
18
41
49
29
29
2
0
0
0
0
2
5
32
24
20
27
12
2
2
0
000
000
000
000
900
200
5 0 2
400
000
000
000
002
hourly ozone concentration (see B&hm et
ee of diurnal variation
in ho
0 0
0 0
0 0
0 0
0 0
12 0
2 0
4 0
0 0
0 0
0 0
0 0
al. 1990).
urly ozone concentrations (A curves
0
0
0
0
0
0
0
0
0
0
0
0

- least
0
0
0
0
0
0
0
0
0
0
0
0

varia
0
0
0
0
0
0
0
0
0
0
0
0

lion;
0
0
0
0
0
0
0
0
0
0
0
0

E curv
      greatest variation) and daily mean (1 curves - lowest mean; 6 curves highest mean) as described by B&hm et al (1990) and as
      illustrated in Figure 4C1. Note that due to numeric rounding, the sums of percentages do not always equal 100.

-------
^o
*-C
.2

cj
•o
CO
•o
c
CO

(A
c
o
+1
CX
>O-

c
.0

CO
4—>


-------
         APPENDIX 4
WET DEPOSITION INFORMATION
          BY STATE
             405

-------
GRAND CANYON
NATIONAL PARK
        ARIZONA
           BIOGRAPHIC INFORMATION
          Latitude
          Longitude
          Elevation (m)
          Landuse
          Start Summary
          End Summary
          Source of Data
 36.07 * N
112.15 ° W
2152
Rural
August 1981
December 1988
NADP/NTN (AZ03)

-------
                                           Grand Canyon National Park

                                               BASIC STATISTICS
A. PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
     ppt
Year vol1   25
  50
pH
75   90  max
25
Sulphate (mg/L)
50   75   90   max   25
Nitrate (mg/L)
50   75   90
         Ammonium (mg/L)
max  25    50   75    90  max
1980
1981
1982
1983
1984
1985
1986
1987
1988
.
-
63.5
51.8
36.6
36.7
37.2
.
33.6
.
6.28
5.78
5.77
6.51
5.91
5.91
6.02
5.99
.
5.54
5.44
5.36
6.08
5.46
5.46
5.71
5.46
.
4.58
4.98
5.12
5.26
5.04
4.83
5.29
5.13
.
4.09
4.61
4.84
5.11
4.67
4.57
5.01
4.71
.
4.09
4.15
4.24
4.71
4.45
4.49
4.82
4.60
.
1.06
0.52
0.50
0.69
0.52
0.37
0.24
0.33
.
3.86 <•
0.92
0.74
1.01
0.72
1.17
0.36 (
0.79 ;
.
1.87
.41
.58
.94
.85
.79
).65
>.27
.
8.98
3.05
2.32
3.52
2.64
2.60
0.94
3.48
.
8.98
4.42
4.75
4.14
10.82
3.35
1.70
6.34
.
0.15
0.38
0.37
0.62
0.18
0.20
0.24
0.41
.
1.13
0.89
0.71
0.94
0.91
0.71
0.47
0.92
.
2.27
1.25
1.30
1.70
1.68
1.63
0.82
2.09
.
3.45
2.14
3.12
2.28
3.40
2.56
1.05
3.27
.
3.45
2.85
4.89
2.78
11.91
4.00
1.89
3.53
.
0.02
0.04
0.04
0.02
0.02
0.02
0.02
0.02
.
0.02
0.11
0.08
0.06
0.06
0.07
0.05
0.03
.
0.39
0.19
0.18
0.15
0.21
0.15
0.07
0.13
.
0.66
0.29
0.31
0.26
0.36
0.24
0.15
0.40
.
0.66
0.41
0.98
0.73
1 .42
0.29
0.25
0.44
B. VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON
Year
               Annual                     Winter (Dec-Feb)                 Summer (Jun-Aug)
  pH    Sulphate  Nitrate  Ammonium  pH    Sulphate  Nitrate Ammonium   pH    Sulphate   Nitrate Ammonium
x2 dep3 x  dep  X   dep   X  dep' x  dep  x  dep  x   dep  x  dep.   x dep  x  dep   x  dep  x  dep
loan
IVWI
1VHI
1982
1983
1984
1985
1986
1987
1988



5.25
5.30
5.14
5.23
.
5.21



0.03
0.02
0.03
0.02
.
0.02



0.70
0.94
0.65
0.71
.
0.86



3.60
3.45
2.40
2.64
-
2.88



0.68
0.79
0.58
0.70
-
0.93



3.52
2.89
2.15
2.64
-
3.14



0.09
0.06
0.08
0.07
.
0.04



0.47
0.22
0.28
0.26
-
0.14



5.33
-
5.13
5.35
5.44
5.18



0.01
-
0.01
0.00
0.00
0.01



0.39
-
0.58
0.34
0.57
0.34



0.60
-
0.90
0.16
0.56
0.35



0.35
-
0.42
0.43
0.38
0.54



0.54
-
0.64
0.21
0.37
0.56



0.06
-
0.07
0.04
0.03
0.05



0.09
-
0.10
0.02
0.03
0.05


488
5.01
5.14
-
-
-
5.09


001
0.01
0.01
.
.
.
0.01


128
1.15
0.95
-
.
.
1.47


1 40
1.39
1.68
.
.
.
1.65


1 22
1.16
0.97
.
.
.
1.46


1 33
1.41
1.71
.
.
.
1.64


0 14
0.14
0.05
.
.
.
0.05


0 16
0.17
0.08
.
-
-
0.06
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
  CHUCHUPATE
RANGER STATION
      CALIFORNIA
           BIOGRAPHIC INFORMATION
          Latitude
          Longitude
          Elevation (m)
          Landuse
          Start Summary
          End Summary
          Source of Data
 34.81 * N
119.01 ° W
1614
Rural
August 1983
December 1988
NADP/NTN (CA98)

-------
                                                   Chuchupate Ranger Station


                                                       BASIC STATISTICS



A.  PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR



      ppt                pH                    Sulphate (mg/L)                Nitrate (mg/L)             Ammonium (mg/L)
Year vol1   25   50    75    90   max    25    50   75    90    max    25    50   75    90    max  25     50    75    90   max

1980   I      '     '•      I      '      -      '.      -      -'.      '-      -'-      -      "-      "-     -      ~-'.      I      '.
1981	
1982   ...............      ......
1983   -     5.50   5.50   533   5.01   5.01   0.10   0.42   0.69   0.78   0.78   0.08   0.16   0.28   0.93    0.93  0.02   0.02   0.03   0.04   0.04
1984  26.8   6.24   5.54   5.03   4.55   4.26   0.39   0.78   1.77   2.85   9.36   0.23   0.58   2.41   4.93 '   8.42  0.05   0.08   0.54   1.55   2.13
1985  19.3   5.55   5.41   4.94   4.66   4.43   0.15   0.58   1.08   2.38   4.28   0.23   0.71   2.14   5.13    7.38  0.02   0.14   0.32   0.75   2.88
1986  33.5   5.92   5.50   5.30   4.47   4.16   0.13   0.32   0.96   2.44   3.85   0.09   0.31   1.76   7.72   10.71  0.02   0.02   0.27   1.21   2.36
1987  42.2   5.64   5.43   5.11   4.70   4.56   0.22   0.42   0.81   2.85   4.77   0.26   0.60   2.05   5.68   10.89  0.02   0.16   0.39   0.84   1.11
1988  21.5   6.09   5.48   5.17   4.82   4.66   0.19   0.27   1.05   2.79   5.30   0.14   0.28   1.01   2.77    3.49  0.02   0.02   0.20   0.44   0.47



B.  VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR  AND SEASON



                                 Annual                          Winter (Dec-Feb)                    Summer (Jun-Aug)
                  pH    Sulphate   Nitrate  Ammonium  pH     Sulphate  Nitrate  Ammonium   pH    Sulphate   Nitrate  Ammonium
Year           x2  dep3 X  dep  x   dep   X   dep   X   dep  X  dep  X   dep   X  dep   x  dep   x   dep    X  dep  x   dep
1980
toni
1982
1983
1984
1985
1986
1987
1988




4.97
5.07

5.08
5.16




0.03
0.02

0.04
0.01




0.89
0.47

0.53
0.37




2.39
0.90

2.24
0.79




1.16
0.98

0.92
0.53




3.11
1.89

3.89
1.15




0.22
0.16

0.18
0.07




0.60
0.30

0.75
0.15




5.77
4.96

5.23





0.00
0.01

0.00





0.20
0.35

0.30





0.13
0.41

0.20





0.24
0.81

0.45





0.15
0.94

0.30





0.06
0.05

0.09





0.04
0.06

0.06





.
5.15 0.00

.
4.66 0.01




...
3.84 0.11 6.80

...
1.12 030 2.58




...
0.19 2.42 0.07

-
0.68 0.43 0.11
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units for pH and in mg/L for sulphate, nil rate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
     GIANT FOREST,
SEQUOIA NATIONAL PARK
      CALIFORNIA
               BIOGRAPHIC INFORMATION
              Latitude
              Longitude
              Elevation (m)
              Landuse
              Start Summary
              End Summary
              Source of Data
 36.57 * N
118.78 ° W
1902
Rural
July 1980
December 1988
NADP/NTN (CA75)

-------
                                        Giant Forest, Sequoia National Park

                                                BASIC STATISTICS
A. PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
     ppt
Year vol1   25
  50
PH
75   90  max
25
Sulphate (mg/L)
50   75   90   max   25
Nitrate (mg/L)
50   75   90
         Ammonium (mg/L)
max  25    50   75    90  max
1980
1981
1982
1983
1984
1985
1986
1987
1988
.
64.0
203.1
148.6
69.0
71.9
79.1
.
83.6
5.53
5.74
5.60
5.81
5.79
5.82
6.01
5.86
5.77
5.06
5.53
5.33
5.50
5.56
5.55
5.63
5.55
5.60
4.88
5.07
5.11
5.30
5.40
5.17
5.40
5.28
5.40
4.60
4.79
4.92
4.71
4.84
5.00
4.89
5.18
5.15
4.60
4.61
4.19
4.44
4.55
4.99
4.54
4.%
5.01
1.20
0.42
0.27
0.21
0.37
0.32
0.21
0.16
0.13
1.40
0.63
0.35
0.55
0.54
0.48
0.77
0.21
0.36
3.36
1.77
1.30
1.02
0.84
0.86
1.07
0.44
1.01
3.53
3.22
2.15
2.02
1.40
1.62
2.47
0.77
1.48
3.53
9.67
3.84
3.44
3.89
2.77
2.47
0.91
1.84
1.62
0.27
0.14
0.19
0.29
0.21
0.17
0.32
0.15
2.45 t
0.70
0.29 ',
0.48
0.49
0.97
1.40 ."
0.75
0.56
1.36
.61
>.16
.54
.51
.84
1.29
.16
.52
5.72
3.52
3.98
4.09
2.59
3.35
4.30
1.40
2.18
5.72
4.40
5.53
6.95
6.09
7.81
5.03
1.75
2.53
0.11
0.07
0.02
0.05
0.04
0.02
0.02
0.02
0.02
0.50
0.15
0.09
0.12
0.15
0.33
0.40
0.13
0.10
0.85
0.39
0.71
0.44
0.30
0.47
0.85
0.31
0.39
1.61
0.94
1.28
1.07
0.44
0.99
1.89
0.48
0.58
1.61
1.58
2.18
1.68
1.55
2.00
1.99
0.50
0.67
B. VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON
Year
               Annual                      Winter (Dec-Feb)                  Summer (Jun-Aug)
  pH   Sulphate  Nitrate Ammonium  pH    Sulphate   Nitrate Ammonium   pH    Sulphate  Nitrate Ammonium
x2 dep3 x  dep  x   dep  x  dep  x  dep   x  dep  X  dep  x  dep   x  dep  x  dep   x  dep  x   dep
1980
19R1
1982
1983
1984
1985
1986
1987
1988

e •>')
5.30
5.44
5.44
s K
5.55

001
0.10
0.05
0.03
nm
0.02

0 SR
0.29
0.34
0.42
ni-J
0.35

1 7S
5.91
5.04
2.87
") VI
2.81

n ss
0.22
0.38
0.44
n AH
0.66

1 SO
4.37
5.62
3.04
1 4R
5.20

010
0.07
0.13
0.10
01C
0.26

1 1R
1.32
1.92
0.72
1 09
2.04


5.46
5.43
5.69
5.35
5.35
5.41


0.02
0.03
0.01
0.02
0.01
0.02


0.23
0.12
0.40
0.18
0.20
0.12


1.28
1.09
1.16
0.61
0.54
0.50


0.09
0.16
0.35
0.24
0.42
0.25


0.48
1.46
1.03
0.81
1.09
1.02


0.01
0.05
0.11
0.05
0.10
0.03


0.06
0.44
0.33
0.17
0.26
0.12


5.29
4.82
5.40


0.00
0.01
0.00


1.83
0.89
1.29


0.78
0.35
0.45


3.67
1.62
1.54


1.56
0.63
0.54


1.33
0.23
0.28


0.56
0.09
0.10
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
HOPLAND
      CALIFORNIA
        BIOGRAPHIC INFORMATION
       Latitude
       Longitude
       Elevation (m)
       Landuse
       Start Summary
       End Summary
       Source of Data
 39.00 ° N
123.08 ° W
253
Rural
January 1980
December 1988
NADP/NTN (CA45)

-------
                                                     Hopland

                                                BASIC STATISTICS
A. PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
     ppt
Year vol1  25
  50
pH
75   90  max
25
Sulphate (mg/L)
50   75   90   max   25
Nitrate (mg/L)
50   75   90
         Ammonium (mg/L)
max   25    50   75    90
B. VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON
                                                                                                              max
1980
1981
1982
1983
1984
1985
1986
1987
1988
82.1
110.8
118.2
182.2
69.3
51.2
93.2
80.6
52.9
6.07
5.89
5.78
5.57
6.20
5.77
5.81
5.68
5.87
5.72
5.49
5.45
5.45
5.64
5.48
5.48
5.42
5.47
5.46
5.24
5.35
5.27
5.41
5.32
5.39
5.23
5.32
5.05
5.05
5.10
5.13
5.19
4.93
5.23
5.06
5.09
4.96
5.01
4.67
4.88
4.26
4.53
4.89
5.02
4.97
0.34
0.31
0.29
0.26
0.40
0.20
0.22
0.18
0.18
0.50
0.42
0.36
0.39
0.51
0.28
0.35
0.25
0.29
1.05
0.58
0.79
0.61
0.73
0.47
0.49
0.62
0.42
3.40
0.81
1.01
0.90
1.77
1.19
0.76
0.90
0.71
11.26
6.91
2.39
2.09
5.40
3.51
0.82
2.78
0.86
0.18
0.18
0.15
0.13
0.18
0.03
0.14
0.28
0.10
0.42
0.32
0.25
0.25
0.29.
0.08
0.29
0.39
0.25
0.85
0.57
0.76
0.60
0.56
0.44
0.39
0.77
0.35
1.53
1.04
1.62
1.38
0.71
1.92
0.86
1.91
0.63
4.07
1.46
1.97
1.81
6.20
10.89
1.17
3.50
1.19
0.02
0.04
0.03
0.02
0.02
0.02
0.02
0.02
0.02
0.04
0.07
0.08
0.05
0.03
0.02
0.05
0.06
0.02
0.13
0.12
0.22
0.12
0.11
0.12
0.08
0.18
0.06
0.32
0.44
0.40
0.18
0.33
0.61
0.18
0.60
0.11
1.05
1.32
0.68
0.29
1.57
1.38
0.31
1.04
0.33
Year
               Annual                      Winter (Dec-Feb)                 Summer (Jun-Aug)
  pH   Sulphate  Nitrate Ammonium  pH    Sulphate   Nitrate  Ammonium  pH    Sulphate   Nitrate Ammonium
x2 dep3 x  dep  x   dep  X  dep/'X   dep   x  dep  X  dep   X  dep;-,-. x dep  x   dep   x  dep  x  dep
1980
1981
1982
1983
1984
1985
1986
1987
1988
5.54
5.38
5.39
5.45
5.38
5.45
5.40
5.36
5.36
0.02
0.05
0.05
0.06
0.03
0.02
0.04
0.03
0.02
0.49
0.31
0.33
032
0.43
0.24
0.29
0.26
0.28
4.04
3.43
3.91
5.92
2.95
1.24
2.73
2.09
1.49
0.21
0.28
0.24
0.26
0.30
0.09
0.21
0.42
0.29
1.76
3.11
2.87
4.73
2.06
0.45
1.92
3.40
1.51
0.04
0.07
0.06
0.05
0.06
0.02
0.03
0.07
0.05
0.36
0.78
0.70
0.90
0.39
0.11
0.27
0.58
0.25
5.45
5.51
5.30
5.36
5.60
5.61
5.41
5.26
5.41
0.02
0.01
0.03
0.04
0.01
0.00
0.02
0.02
0.02
0.45
0.15
0.37
0.34
0.26
0.44
0.26
0.30
0.23
3.01
0.67
2.10
2.81
1.19
0.48
1.70
1.00
0.%
0.21
0.25
0.29
0.25
0.20
0.37
0.15
0.46
0.35
1.40
1.12
1.67
2.09
0.89
0.40
0.98
1.53
1.47
0.04
0.08
0.05
0.05
0.03
0.09
0.02
0.06
0.05
0.25
0.36
0.28
0.41
0.13
0.10
0.14
0.21
0.23
5.50
-
5.37
4.97
5.33
4.53
-
.
5.59
0.00
.
0.00
0.00
0.00
0.00
-
.
0.00
0.70
.
0.64
0.60
0.56
3.51
.
.
0.34
0.06
.
0.01
0.06
0.07
0.01
.
.
0.03
0.43
-
1.01
0.83
0.38
10.9
.
.
0.02
0.04
.
0.01
0.08
0.05
0.03
.
.
0.00
0.07
.
0.20
0.14
0.03
1.38
.
.
0.01
0.01
.
0.00
0.01
0.00
0.00
.
.
0.00
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
MONTAGUE
      CALIFORNIA
         BIOGRAPHIC INFORMATION
        Latitude
        Longitude
        Elevation (m)
        Landuse
        Start Summary
        End Summary
        Source of Data
 41.77 o N
122.48 ° W
797
Rural
June 1985
December 1988
NADP/NTN (CA76)

-------
                                                          Montague


                                                     BASIC STATISTICS



A.  PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR



      ppt               pH                   Sulphate (mg/L)               Nitrate (mg/L)            Ammonium (mg/L)
Year vol1  25    50    75    90  max   25   50   75    90   max    25   50    75    90    max   25    50    75    90   max

"|980   '.     "-     '     I      I      I     '-     -'.      '.'.      I     I     I      I      I     I     I     I      '.      I
1981	
1982	
1983	
1984	
1985   -     5.91    5.51   5.24   4.78   4.68   0.15  0.21   0.32   1.26   1.72  0.06  0.26   0.57   2.43   3.48   0.02  0.02   0.15   0.30   0.36
1986  32.9   6.07    5.74   539   5.36   4.82   0.14  0.30   0.60   0.84  0.91  0.16  0.38   0.83   1.31   1.72   0.04  0.12   0.20   0.29   0.48
1987  25.2   6.07    5.82   5.49   4.81   4.68   0.14  0.20   0.51   1.11  2.62  0.23  0.31   0.57   2.29   4.08   0.06  0.11   0.19   0.50   1.10
1988  27.3   5.94    5.63   5.48   5.32   5.18   0.13  0.25   0.42   0.73  2.56  0.26  0.48   0.83   0.97   1.91   0.03  0.07   0.21   0.27   0.38



B.  VOLUME WEIGHTED AVERAGES AND DEPOSITION BY  YEAR AND SEASON



                                Annual                        Winter  (Dec-Feb)                   Summer (Jun-Aug)
                  pH    Sulphate   Nitrate Ammonium   pH    Sulphate    Nitrate  Ammonium   pH     Sulphate   Nitrate  Ammonium
Year           X2 dep3  X  dep  X   dep   X   dep   X  dep  X   dep   X  dep   X  dep   X  dep   x  dep   X  dep  x   dep
1980
1981
1982
1983
1984
IQftS
1986
1987
1988






5.61
5.43
5.55






0.01
0.01
0.01






0.20
0.25
0.19






0.66
0.63
0.51






0.28 0.93 0.09 0.29 5.61 0.00 0.11 0.18 0.12 0.19 0.03 0.05 5.78
0.41 1.03 0.09 0.23 5.60 0.00 0.15 0.14 0.26 0.23 0.07 0.06 4.%
0.34 0.94 0.07 0.20 5.54 0.00 0.13 0.16 0.27 0.33 0.04 0.05 -






0.00
0.00






0.73
0.76






0.06
0.33






1.18
1.16






0.10
0.50






0.33 0.03
0.20 0.09
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
TANBARKFLAT
      CALIFORNIA
          BIOGRAPHIC INFORMATION
         Latitude
         Longitude
         Elevation (m)
         Landuse
         Start Summary
         End Summary
         Source of Data
 34.21 ° N
117.76 ° W
853
Rural
January 1982
December 1988
NADP/NTN (CA42)

-------
                                                  Tanbark Flat
                                                BASIC STATISTICS
A. PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
ppt
vol1
-
95.6
131.2
48.1
39.5
63.8
49.1
66.9
25
-
5.47
5.18
5.47
5.35
5.95
5.57
5.37
50
-
5.05
4.84
4.90
4.77
5.37
5.19
4.98
pH
75
-
4.29
4.47
4.56
4.36
4.89
4.87
4.46
90
-
3.64
4.14
3.84
4.17
4.49
4.68
4.14
max
•
3.19
3.57
3.54
4.16
4.19
3.91
3.92
25
-
0.78
0.46
0.49
0.52
0.29
0.31
0.26
Sulphate (mg/L)
50 75 90
-
1.87
0.74
0.68
1.01
0.39
0.75
6.82
•
5.68
1.66
1.%
2.74
1.31
1.33
1.95
-
15.51
4.87
9.98
4.17
4.26
4.20
4.04
max
-
34.50
8.36
14.88
4.57
5.66
10.52
5.81
25
-
0.94
0.49
0.59
0.74
0.41
0.44
0.29
Nitrate (mg/L)
50 75 90
-
1.86
1.19
1.63
1.85
0.82
1.12
1.50
-
8.52
4.50
2.58
3.66
2.87
2.60
5.12
-
36.19
9.53
15.45
5.33
4.72
8.88
6.77
max
-
56.88
20.30
27.35
7.75
5.36
13.13
7.98
Ammonium (mg/L)
25 50 75 90
-
0.14
0.11
0.07
0.09
0.03
0.04
0.02
-
0.57
0.16
0.16
0.24
0.07
0.23
0.18
-
1.38
0.79
0.35
0.48
0.36
0.66
0.91
-
3.58
1.28
2.09
0.70
0.99
1.85
1.20
max
-
6.76
2.44
3.42
0.92
1.79
2.12
1.40
B. VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON
Year
               Annual                     Winter (Dcc-Feb)                  Summer (Jun-Aug)
  pH    Sulphate  Nitrate  Ammonium  pH    Sulphate  Nitrate Ammonium   pH    Sulphate   Nitrate Ammonium
x2 dep3 x  dep  x   dcp   X  dep  X  dep  X   dep  X   dep  X  dep   x  dep  x  dep   X  dep  X   dep
lOftfl
1OR1
1982
1983
1984
1985
1986
1987
1988


4.82
5.03
5.03
4.83
5.09
5.08
4.93


0.14
0.12
0.04
0.06
0.05
0.04
0.08


0.98
0.56
0.72
0.76
0.46
0.49
0.64


9.36
7.33
3.48
3.00
194
2.38
4.30


1.19
0.82
1.15
1.23
0.63
0.%
0.98


11.4
10.8
5.53
4.87
4.03
4.72
6.58


0.25
0.17
0.27
0.14
0.06
0.23
0.19


2.35
2.20
1.28
0.56
0.40
1.13
1.28


.
5.28
5.14
5.44
5.05
5.09
-


.
0.04
0.01
0.01
0.03
0.01
•


.
0.35
0.52
0.38
0.52
0.23
*


.
2.42
0.74
1.23
1.53
0.33
-


.
0.41
0.52
0.48
0.45
0.58
"


.
2.84
0.75
1.53
1.31
0.82
*


.
0.10
0.12
0.12
0.05
0.08
•


.
0.69
0.17
0.37
0.16
0.11
*


4.06
4.20
4.45
-
5.08
.
4.55


0.01
0.02
0.01
.
0.00
.
0.00


4.89
3.07
2.10
-
3.66
.
1.42


0.75
1.10
0.82
.
0.01
.
0.11


9.29
6.58
3.61
.
2.91
.
4.09


1.43
2.36
1.42
.
0.01
.
0.31


1.45
1.26
0.58
.
0.04
.
0.55


0.22
0.45
0.23
.
0.00
.
0.04
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units for pl-l and in mg/L for sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
YOSEMITE NATIONAL PARK
      CALIFORNIA
                BIOGRAPHIC INFORMATION
               Latitude
               Longitude
               Elevation (m)
               Landuse
               Start Summary
               End Summary
               Source of Data
 37.80 ° N
119.86 ° W
1408
Rural
December 1981
December 1988
NADP/NTN (CA99)

-------
                                                  Yosemite National Park
                                                    BASIC STATISTICS
A.  PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
ppt
vol1
-
212.4
232.2
82.7
90.6
113.0
.
66.9
25
-
5.74
5.64
5.84
5.60
5.99
5.69
5.93
50
-
5.44
5.43
5.70
5.39
5.37
5.55
5.57
pH
75
-
5.28
5.24
5.49
5.06
5.28
5.35
5.20
90
-
4.98
4.73
5.27
4.74
4.53
5.05
4.88
max
-
4.71
4.55
5.18
4.66
4.53
5.03
4.86
25
;
0.13
0.24
0.37
0.21
0.46
0.12
0.21
Sulphate (mg/L)
50 75 90
-
0.29
0.36
0.43
0.52
0.89
0.21
0.36
; :
0.79
1.00
1.01
1.03
1.41 '
0.36
0.81
.71
.33
.27
.69
1.95
.01
.76
max
-
2.89
1.52
1.41
2.08
4.95
1.43
1.97
25
-
0.14
0.20
0.28
0.26
0.78
0.16
0.30
Nitrate (mg/L)
50 75 90
-
0.26
0.37
0.64
1.07
1.40
0.48
0.54
-
1.06
1.50
1.60
2.14
2.41
0.81
1.35
-
2.14
2.22
2.11
3.64
12,46
2.17
1.90
max
-
2.72
3.04
2.41
3.85
12.46
3.39
2.07
Ammonium (mg/L)
25 50 75 90
•
0.02
0.04
0.05
0.02
0.17
0.02
0.02
-
0.06
0.09
0.12
0.19
0.25
0.08
0.05
-
0.21
0.31
0.35
0.47
0.54
0.18
0.25
-
0.40
0.69
0.53
0.90
3.37
0.79
0.28
max
-
0.61
0.77
0.68
1.12
3.37
1.24
0.29
B.  VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON
Year
                  Annual                        Winter (Dec-Feb)                   Summer (Jun-Aug)
    pH    Sulphate  Nitrate  Ammonium   pH     Sulphate   Nitrate  Ammonium   pH    Sulphate    Nitrate  Ammonium
 x2  dep3 x   dep   X   dep   X  dep" X  dep  x   dep  X   dep   X  dep..   x dep  X  dep   X  dep  x   dep
 1980
 1981
 1982
 1983
 1984
 1985
 1986
 1987
 1988
5.47  0.08 0.27  6.29 0.31  7.15  0.09  2.02 5.39  0.04 0.10  1.01  0.17  1.70  0.02 0.24 4.99  0.00  0.77 0.05  1.53 0.10 0.18  0.01
5.47  0.03 0.43  3.58 0.46  3.78  0.11  0.90	5.70  0.00  0.73 0.19  0.91 0.23 0.20  0.05
 	5.32  0.01 0.20  0.37  0.39  0.73  0.05 0.10	


 	5.14  0.00  1.69 0.14  1.83 0.15 0.03  0.00
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units  for pH and in mg/L Tor sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
  BEAVER MEADOWS,
ROCKY MTN NAPL PARK
       COLORADO
               BIOGRAPHIC INFORMATION
              Latitude
              Longitude
              Elevation (m)
              Landuse
              Start Summary
              End Summary
              Source of Data
 40.36 ° N
105.58 ° W,
2490
Rural
May 1980
December 1988
NADP/NTN (CO19)

-------
                                 Beaver Meadows, Rocky Mountain National Park

                                               BASIC STATISTICS
A. PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
     ppt
Year vol1   25
  50
pH
75   90  max
25
Sulphate (mg/L)
50   75   90   max   25
Nitrate (mg/L)
50   75   90
         Ammonium (mg/L)
max  25    50   75    90  max
1980
1981 33.4
1982 36.8
1983 45.4
1984 43.1
1985 41.8
1986 44.0
1987
1988 25.4
6.04
5.92
5.45
5.69
6.12
5.65
5.90
5.76
6.16
4.90
5.22
5.08
5.32
5.56
5.10
5.19
5.51
5.37
4.82
4.87
4.73
4.72
5.16
4.87
4.77
5.08
5.06
4.48
4.63
4.54
4.34
4.77
4.71
4.67
4.87
4.82
4.46 0.71 1.46 2.09 4.91 8.68 1.06 1.46 2.22 5.74 9.76 0.14 0.22 0.60 1.22 1.28
4.27 0.78 1.97 2.70 3.55 4.69 0.62 1.31 2.11 3.57 6.42 0.13 0.21 0.52 0.74 1.84
4.16 0.69 0.98 .37 2.36 6.71 0.62 1.09 .55 1.97 3.79 0.06 0.13 0.23 0.32 1.02
4.04 0.55 0.88 .74 2.98 5.81 0.45 0.87 .53 3.13 5.78 0.06 0.11 0.33 0.45 1.53
4.58 0.70 0.91 .38 1.90 4.49 0.72 1.09 .56 2.10 4.81 0.08 0.18 0.36 0.61 1.69
4.47 0.58 0.98 .77 2.49 6.91 0.59 1.05 .99 2.27 6.67 0.02 0.15 0.39 0.61 2.19
4.37 0.45 0.79 .32 2.12 2.97 0.54 0.99 .66 2.53 3.85 0.08 0.22 0.34 0.53 1.00
4.65 0.21 0.48 0.76 1.23 1.48 0.47 0.70 0.98 1.28 1.60 0.06 0.10 0.21 0.28 0.30
4.15 0.37 0.84 1.63 2.24 3.22 0.47 0.98 2.11 2.69 3.88 0.02 0.07 0.29 0.57 0.79
B. VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON
Year
               Annual                     Winter (Dcc-Feb)                  Summer (Jun-Aug)
  pH   Sulphate  Nitrate  Ammonium  pH    Sulphate  Nitrate Ammonium   pH    Sulphate   Nitrate Ammonium
x2 dep3 x  dep  x   dep   x  dep  x  dep  x   dep  x   dep  X  dep   x  dep  x  dep   x  dep  x  dcp
.___
1QH1
1982
1983
1984
1985
1986
1OR7
1988

c m
4.97
5.09
5.14
4.99
5.07

5.19

nm
0.04
0.04
0.03
0.04
0.04

0.02

1 SR
0.91
0.80
0.98
0.91
0.77

0.76

c 70
3.36
3.65
4.21
3.80
3.40

1.94

1 4fi
0.93
0.85
1.13
0.95
0.94

0.94

4 R7
3.41
3.87
4.87
3.95
4.11

2.39

0 14
0.14
0.15
0.25
0.17
0.23

0.11

1 IS -
0.50 - ---
0.70 5.44 0.00 0.63 0.14
1.07 ....
0.73 ---.
1.03 5.24 0.00 0.23 0.18

0.27 .--.


4.78
0.63 0.14 0.08 0.02 4.80
4.93
4.89
0.27 0.21 0.01 0.01 -

4.91


0.02
0.02
0.02
0.01
-

0.01


1.21
1.24
1.29
1.21
-

1.59


1.37
1.54
1.95
1.32
.

0.93


1.22
1.48
1.36
1.36
.

1.79


1.39
1.84
2.04
1.49
-

1.05


0.24
0.26
0.30
0.27
.

0.16


0.27
0.32
0.45
0.29
.

0.09
I. Estimated annual precipitation amount in cm.
2. Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3. Estimated deposition in kg/ha.

-------
MANITOU                    COLORADO
        BIOGRAPHIC INFORMATION
       Latitude        -   39.10 ° N
       Longitude       -   105.09 ° W
       Elevation (m)    -   2362
       Landuse        -   Rural
       Start Summary   -   January 1980
       End Summary    -   December 1988
       Source of Data   -   NADP/NTN (CO21)

-------
                                                    Manitou
                                               BASIC STATISTICS
A. PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
ppt
vol1
41.5
40.0
45.6
48.8
41.5
39.6
31.7
-
30.2
25
5.83
6.19
5.61
5.50
6.11
5.21
5.54
5.47
5.87
50
5.24
5.25
5.07
5.19
5.30
4.98
5.05
4.93
5.05
pH
75
4.78
4.83
4.81
4.80
4.79
4.76
4.66
4.72
4.78
90
4.49
4.64
4.63
4.51
4.62
4.58
4.49
4.58
4.48
max
4.37
4.37
4.41
4.18
4.36
4.43
4.24
4.31
3.84
25
0.%
0.95
0.63
0.59
0.71
0.41
0.57
0.37
0.47
Sulphate (mg/L)
50 75 90
1.73
1.47
1.16
0.94
1.26
0.61
0.85
0.85
0.97
2.40
1.43
1.47
1.57
2.14
1.89
1.74
1.23
1.64
3.66
4.62
2.61
2.18
3.05
2.85
2.23
1.94
2.55
max
3.68
18.47
3.52
3.91
3.24
5.15
12.68
4.42
2.99
25
1.13
0.69
0.76
0.75
0.92
0.56
0.85
0.75
0.68
Nitrate (mg/L)
50 75 90
1.92
1.35
1.14
1.06
1.25
1.08
1.21
1.17
1.07
2.20
2.34
1.95
2.06
2.11
2.07
2.21
2.04
2.34
3.33
3.84
3.00
2.63
3.69
3.00
3.36
3.63
2.82
max
3.50
7.29
4.31
4.45
5.15
6.13
16.79
9.36
4.01
Ammonium (mg/L)
25 50 75 90
0.18
0.10
0.07
0.07
0.09
0.02
0.04
0.06
0.02
0.31
0.21
0.16
0.18
0.17
0.06
0.11
0.11
0.05
0.43
0.33
0.31
0.27
0.29
0.41
0.26
0.29
0.18
0.51
0.54
0.54
0.48
0.50
0.56
0.41
0.42
0.37
max
0.56
0.81
0.67
1.91
1.18
1.32
2.84
1.49
1.02
B. VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON
Year
               Annual                     Winter (Dec-Feb)                  Summer (Jun-Aug)
  pH   Sulphate  Nitrate  Ammonium  pH    Sulphate  Nitrate Ammonium   pH    Sulphate   Nitrate Ammonium
x2 dep3 X  dep X   dep   X  dep  X  dep  X  dep  X   dep  X  dep   X dep   X  dep   X  dep  X  dep
loan
lOttl
1982
1983
1984
1985
1986
1987
1988

A HI
4.91
4.97
4.90
4.86
4.82
.
4.85


0.06
0.05
0.05
0.05
0.05
.
0.04

i sn
1.02
0.91
1.12
0.87
1.03
.
1.15


4.64
4.45
4.66
3.45
3.28
.
3.46

Af
.13
.07
.25
.04
.32
.
1.45

< 70
5.17
5.23
5.20
4.12
4.19
.
4.37


0.17
0.18
0.22
0.15
0.15
.
0.10

nqj
0.77
0.87
0.91
0.60
0.49
-
0.30


5.27
.
-
5.13
4.84
4.92
"


0.00
-
-
0.00
0.00
0.01
"


1.14
-
-
0.36
0.41
0.28
-


0.22
-
-
0.07
0.08
0.10
•


0.76 0.15
-
-
1.01 0.18
1.58 0.29
1.14 0.43
"


0.09
-
-
0.02
0.09
0.08
*


0.02
.
.
0.00
0.02
0.03
-


.
4.86
4.77
4.78
4.70
4.77
4.60


.
0.03
0.04
0.03
0.03
0.03
0.03


.
1.04
1.12
1.03
1.15
0.93
1.38


.
2.50
2.58
2.10
1.98
1.46
2,75


.
1.11
1.27
1.35
1.15
1.23
1.69


.
2.64
2.92
2.32
2.32
1.92
3.38


.
0.19
0.22
0.19
0.13
0.12
0.09


.
0.44
0.51
0.38
0.22
0.18
0.18
1. Estimated annual precipitation amount in cm.
2. Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3. Estimated deposition in kg/ha.

-------
 MESA VERDE
NATIONAL PARK
       COLORADO
           BIOGRAPHIC INFORMATION
          Latitude
          Longitude
          Elevation (m)
          Landuse
          Start Summary
          End Summary
          Source of Data
 37.20 ° N
108.49 ° W
2172
Rural
April 1981
December 1988
NADP/NTN (CO99)

-------
                                            Mesa Verde National Park
                                               BASIC STATISTICS
A. PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
     ppt
Year vol1   25   50
        pH
        75   90  max
25
Sulphate (mg/L)
 50   75   90   max   25
Nitrate (mg/L)
50   75   90
         Ammonium (mg/L)
max  25    50   75    90  max
1980
1981
1982
1983
1984
1985
1986
1987
1988
.
-
64.9
57.3
40.9
53.5
64.0
48.6
41.0
.
6.28
5.66
5.96
6.61
5.66
5.89
5.82
5.80
.
4.95
4.92
5.23
5.11
5.04
5.02
4.89
4.83
.
4.43
4.61
4.76
4.66
4.81
4.76
4.67
4.60
.
4.26
4.25
4.33
4.30
4.45
4.46
4.40
4.49
.
4.07
4.02
3.84
4.10
4.16
4.23
4.30
4.01
.
1.38
0.84
0.64
0.97
0.64
0.59
0.70
0.43
.
2.83
1.53
0.87
1.46
0.98
1.10
1.44
1.00
.
4.02
2.74
2.05
2.78
1.65
1.83
2.26
2.09
.
6.01
6.06
3.87
4.40
4.06
2.96
2.92
2.76
.
6.30
9.62
12.34
5.26
12.20
4.33
3.43
8.76
.
0.98
0.51
0.43
0.73
0.32
0.46
0.68
0.69
.
1.33
0.97
0.68
1.32
0.82
0.91
1.12
1.09
.
2.17
1.50
1.70
2.06
1.56
1.52
2.04
2.32
.
2.62
3.88
2.34
2.90
3.22
2.60
3.14
3.13
.
3.82
7.09
5.22
5.18
5.70
4.05
5.29
6.78
.
0.04
0.06
0.05
0.06
0.02
0.02
0.04
0.02
.
0.13
0.12
0.09
0.12
0.03
0.09
0.13
0.02
.
0.27
0.21
0.17
0.29
0.22
0.23
0.25
0.11
,.
0.38
0.28
0.28
0.41
0.50
0.39
0.44
0.29
.
0.53
0.49
0.67
0.61
1.23
0.69
0.81
0.59
B. VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON
Year
               Annual                     Winter (Dec-Feb)                  Summer (Jun-Aug)
  pH   Sulphate  Nitrate  Ammonium  pH    Sulphate  Nitrate Ammonium   pH    Sulphate   Nitrate  Ammonium
x2 dep3 x  dep  x   dep   x  dep  X  dep  x   dep  X   dep  X  dep   x  dep  x  dep   x  dep  x  dep
IQRfl
1981
1982
1983
1984
1985
1986
1987
1988


4.69
4.88

4.91
4.89
4.80
4.82


0.13
0.08

0.07
0.08
0.08
0.06


1.43
0.96

1.07
0.95
1.08
1.14


9.30
5.53

5.72
6.09
5.26
4.65


0.89
0.70

0.72
0.72
0.94
1.04


5.79
4.02

3.85
4.59
4.59
4.26


0.13
0.09

0.07
0.09
0.13
0.07


0.87
0.50

0.40
0.54
0.64
0.30


.
5.05

4.93
5.11
4.88



.
0.02

0.01
0.01
0.01



.
0.64

0.73
0.56
0.62



-
1.16

0.86
0.37
0.62



.
0.51

0.56
0.52
0.59



.
0.92

0.66
0.34
0.60



.
0.07

0.09
0.03
0.05


4.64 0.04
4.41 0.07
0.12 -

0.10 -
0.02 -
0.01 4.68 0.03
4.70 0.02

2.26 3.54 1.67 2.61 0.17 0.27
1.99 3.55 1.42 2.54 0.14 0.25
.

......
......
1.25 1.73 1.09 1.50 0.17 0.23
1.23 1.44 1.27 1.49 0.03 0.03
1. Estimated annual precipitation amount in cm.
2. Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3. Estimated deposition in kg/ha.

-------
SUGARLOAF                   COLORADO
         BIOGRAPHIC INFORMATION
                      •
                      *
        Latitude        -   39.99 ° N
        Longitude       -   105.48 ° W
        Elevation (m)    -   2524
        Landuse        -   Rural
        Start Summary   -   November 1986
        End Summary    -   December 1988
        Source of Data   -   NADP/NTN (CO94)

-------
                                                          Sugarloaf

                                                     BASIC STATISTICS
A.  PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
      ppt
Year  vol1   25
  50
                        PH
                        75   90   max
     Sulphate (mg/L)
25    50   75   90
            Nitrate (mg/L)             Ammonium (mg/L)
max   25   50   75    90   max  25     50   75     90  max
1980	
1981	
1982	
1983	
1984   .......
1985	
1986   -    6.24  5.50   5.25   5.20   5.20  0.46
1987  56.7   5.51  5.15   4.84   4.58   4.47  0.43
                                                                           1.13   1.65   1.76  1.76   0.10   0.51   0.79  0.83   0.83
                                                                           1.00   1.46   2.63  3.26   0.08   0.19   0.38  0.62   0.72
1988   49.0  5.70   5.09   4.73   4.50  4.15   0.34   0.92   1.77   2.98  6.15   0.48   1.00   1.87   3.26  7.27   0.02   0.08   0.19  0.45   1.63
                               0.85   1.32   1.41   1.41   0.82
                               0.67   1.17   1.63   3.23   0.64
B.  VOLUME WEIGHTED AVERAGES AND DEPOSITION  BY YEAR AND SEASON
Year
                Annual                         Winter (Dec-Feb)                    Summer (Jun-Aug)
  pH    Sulphate   Nitrate  Ammonium  pH     Sulphate   Nitrate  Ammonium   pH    Sulphate    Nitrate  Ammonium
x2 dep3 x   dep  x   dep   X  dep  x   dep  x  dep   x  dep   x   dcp   x  dep   x  dep   x   dep  X   dep


IQftO ..........

1QR4 ..........
1QJK ...........
IQRfi %... ......
1OQ7 A O*T niv; n 71 Am noo ^son^iioi
1988 5.00 0.05 0.80 3.92 0.96 4.71 0.14 0.69 -








4.73 0.02 1.64 1.59 1.93 1.88 0.13 0.13
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
HEADQUARTERS
         IDAHO
           BIOGRAPHIC INFORMATION
          Latitude
          Longitude
          Elevation (m)
          Landuse
          Start Summary
          End Summary
          Source of Data
 46.63 ° N
115.82 ° W
969
Rural
July 1982
December 1988
NADP/NTN (ID04)

-------
                                                    Headquarters

                                                 BASIC STATISTICS


A.  PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR


     ppt              pH                  Sulphate (mg/L)             Nitrate (mg/L)            Ammonium (mg/L)
Year vol1  25   50   75   90   max   25   50   75   90    max   25   50   75   90   max  25    50   75    90   max
1980
1981
1982
1983
1984
1985
1986
1987
.
.
.
113.2
106.1
85.4
85.5
68.2
.
.
5.64
5.60
5.67
5.55
5.63
5.64
.
.
5.53
5.42
5.48
5.33
5.46
5.45
.
-
5.23
5.04
5.32
5.11
5.32
5.24
.
-
5.03
4.93
5.18
4.96
5.12
4.90
.
-
4.95
4.57
5.11
4.89
4.92
3.95
.
-
0.31
0.31
0.29
0.21
0.18
0.19
-
-
0.44
0.43
0.42
0.33
0.29
0.32
.
-
0.92
0.62
0.69
0.46
0.44
0.61
-
-
2.44
1.41
0.94
0.61
0.53
0.93
-
-
2.81
2.59
3.38
0.84
1.30
2.29
-
-
0.30
0.21
0.27
0.10
0.21
0.20
.
-
0.56
0.38
0.36
0.29
0.34
0.37
.
-
1.81
0.60
0.64
0.63
0.53
0.76
.
-
3.21
1.25
1.08
0.83
0.87
1.38
.
.
3.60
1.74
3.04
1.06
2.34
3.77
.
.
0.02
0.02
0.03
0.02
0.02
0.02
.
.
0.09
0.06
0.07
0.03
0.04
0.05
.
.
0.26
0.14
0.17
0.09
0.09
0.12
.
.
0.68
0.17
0.37
0.16
0.16
0.35
.
.
0.80
0.54
0.54
0.35
0.77
0.41
1988   98.5  5.57   5.34  5.20   5.00  4.81  0.19   0.23  0.36  0.90   1.79  0.17   0.27   0.44  0.64   3.56  0.02  0.02   0.02  0.10  0.48



B. VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON


                              Annual                      Winter (Dec-Feh)                  Summer (Jun-Aug)
                 pH    Sulphate  Nitrate  Ammonium  pH    Sulphate   Nitrate  Ammonium   pH    Sulphate   Nitrate  Ammonium
Year          x2 dep3  x  dep  x   dep   x  dep   x  dep  x   dep  x  dep   x  dep   x  dep  x  dep    x   dcp  x  dep

1VHU
IVol
1OQ')

1983
1985
1986
1987
1988.





5.26
5.38
5.36




(\f\A
0.05
0.04
0.04




n in
0.28
0.23
0.24




-J 00
2.35
1.96
2.39





0.23
0.29
0.25




4 nn
1.96
2.46
2.49




OOR
0.03
0.06
0.02





0.26
0.47
0.21





5.27
5.35





0.01
0.02





0.32
0.12





0.83
0.42





0.43
0.15





1.12 0.04
0.52 0.04





0.10
0.13





5.15
5.15
5.14
5.21





0.01
0.00
0.01
0.01





0.28
0.37
0.42
0.40





0.44
0.20
0.43
0.38





0.13
0.40
0.56
0.16





0.20
0.22
0.58
0.15





0.01
0.01
0.07
0.02





0.02
0.01
0.07
0.02
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
CLANCY                      MONTANA
       BIOGRAPHIC INFORMATION
      Latitude        -   46.49 ° N
      Longitude      -  112.07 ° W
      Elevation (m)    -  1489
      Landuse        •  Rural
      Start Summary   -  January 1984
      End Summary   -  December 1988
      Source of Data  -  NADP/NTN (MT07)

-------
                                                         Clancy

                                                   BASIC STATISTICS


A.  PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR


      ppt               pH                  Sulphate (mg/L)              Nitrate (mg/L)            Ammonium (mg/L)
Year  vol1   25   50    75   90   max   25    50   75   90   max   25   50   75    90   max   25    50   75    90   max
1980
1981
1982
1983
1984 30.3
1985 33.1
1986 39.2
-
.
6.27
5.96
5.78
-
-
5.75
5.62
5.37
-
.
5.45
5.15
5.14
-
-
4.84
4.98
4.89
-
-
4.71
4.78
4.77
-
-
0.43
0.33
0.29
-
-
0.68
0.56
0.45
~
-
1.41
0.88
0.69
-
-
2.91
1.47
1.12
-
-
3.50
5.95
1.51
"
-
0.32
0.12
0.25
*
-
0.51
0.43
0.40
-
.
1.24
0.78
0.80
-
-
2.48
1.58
1.10
-
.
3.58
6.26
1.55
-
.
0.05
0.02
0.02
•
.
0.09
0.08
0.05
-
*
0.20
0.16
0.13
•
.
0.27
0.42
0.34
•
.
1.18
1.36
0.59
1987   35.0  5.66   5.39  5.17   4.91   3.98  0.46   0.67   1.10   1.94  3.54   0.36  0.57   0.83  2.56   3.82  0.05   0.13  0.22   0.49  0.72
1988   36.1   5.72   5.41  5.19   5.01   4.89  0.21   0.38   0.69   1.00  3.37   0.06  0.27   0.58  0.87   4.35  0.02   0.02  0.07   0.15  0.47



B. VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON


                              Annual                       Winter (Dec-Feb)                  Summer (Jun-Aug)
                 pH   Sulphate   Nitrate  Ammonium  pH     Sulphate  Nitrate  Ammonium   pH    Sulphate  Nitrate  Ammonium
Year           x2 dep3 x  dep  *   dep  x   dep ''X   dep  x  dep  x  dep   x  depi:  x  dep   x   dep   x  dep  x  dep

1980
1981
1982
1983
1984
1985
1986
1987
1988




.
5.28
5.19
5.24
5.35




»
0.02
0.03
0.02
0.02




.
0.51
0.48
0.62
0.47




.
1.67
1.87
2.17
1.70




.
0.39
0.42
0.53
0.34




.
1.29
1.65
1.85
1.24




.
0.08
0.08
0.11
0.06




.
0.27
0.33
0.38
0.21




.
5.52
5.09
-
5.42




.
0.00
0.00
-
0.00




.
0.41
0.31
-
0.23




.
0.18
0.19
-
0.13




.
0.29
0.27
-
0.30




.
0.13
0.16
-
0.17




.
0.04
0.02
-
0.02




.
0.02
0.01
-
0.01




5.12
5.17
5.15
5.16
*




0.01
0.01
0.01
0.01
•




0.79
0.50
0.66
0.61
•




1.01
0.46
0.79
0.87
"




0.62
0.56
0.56
0.55
"




0.79
0.52
0.67
0.79
•




0.12
0.10
0.14
0.10
•




0.16
0.09
0.17
0.14
•
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
 CUSTER BATTLEFIELD
NATIONAL MONUMENT
       MONTANA
              BIOGRAPHIC INFORMATION
             Latitude
             Longitude
             Elevation (m)
             Landuse
             Start Summary
             End Summary
             Source of Data
 45.57 ° N
107.44 ° W
957
Rural
July 1984
December 1988
NADP/NTN (MTOO)

-------
                                         Custer Battlefield National Monument
                                                   BASIC STATISTICS
A.  PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
      ppt
Year  vol1   25
  50
PH
75   90   max
     Sulphate (mg/L)
25   50   75    90
            Nitrate (mg/L)            Ammonium (mg/L)
max    25   50   75   90   max  25     50   75    90  max
1980
1981
1982
1983
1984
1985 32.3
1986 37.8
•
.
6.44
5.85
6.06
•
.
5.92
5.44
5.47
-
.
5.36
5.12
5.12
•
.
5.05
4.85
4.80
-
.
4.98
4.45
4.46
-
-
0.51
0.47
0.36
*
-
0.81
0.78
0.83
-
-
2.72
1.36
1.36
-
-
5.20
2.10
2.72
-
-
6.93
3.36
4.08
-
.
0.34
0.47
0.35
"
.
0.65
0.67
0.73
-
.
2.09
1.22
1.29
-
.
3.92
2.65
1.76
-
.
4.84
3.22
1.98
-
.
0.02
0.02
0.02
•
.
0.09
0.18
0.11
-
.
0.32
0.34
0.25
-
.
0.59
0.60
0.33
-
.
0.74
0.65
0.82
1987   32.9   5.79   5.31   5.06  4.89   4.70  0.51   0.84   1.43   1.87  3.81   0.57  0.81   1.58   1.93   3.30  0.08   0.16  0.28   0.41  0.84
1988   25.5   6.18   5.88   5.52  5.13   4.98  0.50   0.67   1.00   3.09  26.72  0.27  0.69   1.03   1.63   3.16  0.02   0.07  0.14   0.36  0.75
B.  VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON
Year
                Annual                       Winter (Dec-Feb)                   Summer (Jun-Aug)
  pH   Sulphate  Nitrate Ammonium  pH     Sulphate   Nitrate  Ammonium   pH    Sulphate   Nitrate  Ammonium
x2 dep3  x  dep   x   dep   x   dep  x   dep  x  dep  x  dep   x  dep    x dep   x  dep   x   dep  x   dep
lOSfl
lOfll
1OJW
1OS1
19R4
1985
1986
1987
1OQQ






5.29
5.17
5.19
« «7






0.02
0.03
0.02
nni






0.76
0.73
0.75
n 70






2.46
2.74
2.48
701






0.67
064
0.71
0 S7






2.16
743
2.32
1 46






0.16
01?
0.15
010






0.51
043
0.51
0 26






5.31
S31
5.35







0.00
000
0.00







0.77
031
0.64







0.21
014
0.10







0.64
037
0.98







0.18
017
0.15







0.07
004
0.16







0.02 	
0.02 	
0.03 5.13 0.01 0.86 1.15 0.75







...
.
1.00 0.15 0.20


1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
FIRE WEATHER STATION,
GLACIER NATIONAL PARK
       MONTANA
               BIOGRAPHIC INFORMATION
              Latitude
              Longitude
              Elevation (m)
              Landuse
              Start Summary
              End Summary
              Source of Data
 48.51 ° N
114.00 ° W
968
Rural
June 1980
December 1988
NADP/NTN (MT05)

-------
                                    Fire Weather Station, Glacier National Park

                                                BASIC STATISTICS
A. PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
ppt
vol1
.
78.2
91.9
83.2
80.0
64.4
75.7
.
72.9
25
5.29
5.50
5.73
5.77
5.63
5.44
5.45
5.44
5.48
50
4.84
5.17
5.32
5.44
5.33
5.28
5.30
5.32
5.31
pH
75
4.68
4.98
5.08
5.14
5.16
5.08
5.10
5.19
5.16
90
4.53
4.82
4.94
4.88
5.06
4.92
4.97
5.05
5.04
max
4.44
4.78
4.92
4.42
4.63
4.77
4.87
4.97
4.81
25
0.65
0.65
0.33
0.47
0.38
0.30
0.32
0.22
0.24
Sulphate (mg/L)
50 75 90
1.10
1.10
0.57
0.59
0.47
0.46
0.42
0.37
0.43
1.83
1.26
1.00
0.81
0.86
0.70
0.62
0.62
0.69
2.70
1.48
1.61
1.10
1.00
1.43
0.95
0.95
1.08
max
5.91
1.68
2.98
3.34
2.30
2.01
1.14
1.37
3.40
25
0.28
0.36
0.27
0.27
0.31
0.22
0.23
0.27
0.20
Nitrate (mg/L)
50 75 90
0.37
0.60
0.50
0.43
0.41
0.50
0.46
0.51
0.40
0.94
0.72
0.86
0.62
0.63
1.03
0.57
0.70
0.66
1.78
1.02
1.03
0.88
1.40
1.37
0.80
1.36
1.11
max
2.04
1.06
2.33
1.63
3.02
2.51
1.30
1.37
1.67
Ammonium (mg/L)
25 50 75 90
0.03
0.02
0.04
0.04
0.05
0.02
0.02
0.05
0.02
0.11
0.09
0.07
0.08
0.08
0.03
0.04
0.08
0.02
0.22
0.12
0.14
0.17
0.15
0.16
0.13
0.13
0.11
0.52
0.23
0.23
0.32
0.26
0.25
0.24
0.18
0.22
max
0.66
0.26
0.54
0.41
0.69
0.30
0.36
0.34
1.01
B. VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON
Year
               Annual                      Winter (Dec-Feh)                 Summer (Jun-Aug)
  pH   Sulphate  Nitrate Ammonium  pH    Sulphate   Nitrate  Ammonium  pH    Sulphate   Nitrate  Ammonium
x2 dep3 x  dep  X   dcp  X  dcp   X   dcp  X  dcp  X  dep   X  dep   X dep   X   dep   X  dep  x  dep
toon

IVo!
lORI
1983
1984
1985
1986
1OO"7
1988


5 25
5.25
5.25
5.22
5.15
5.26


005
0.05
0.05
0.04
0.05
0.04


043
0.49
0.50
0.38
0.37
0.38


398
4.10
4.00
2.47
2.81
2.76


038
0.33
0.42
0.26
0.34
0.33


345
2.76
3.34
1.70
2.54
2.43


007
0.07
0.07
0.04
0.05
0.06


066
0.58
0.58
0.26
0.39
0.41



5.42
5.36
5.21



0.01
0.01
0.01



0.18
0.50
0.24



0.51
0.98
0.42



0.23
0.39
0.35



0.65
0.77
0.61



0.04
0.05
0.04



0.12
0.10
0.06
479

509
5.14
5.14
003

001
0.01
0.01
1

o
0
0
01

50
48
.50
1 %

071
0.46
0.43
051

049
0.45
0.41
1 00

070
*
0.43
0.35
008

007
0.06
0.01
0 15

009
0.06
0.01
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pi! units for pH and in mg/L for sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
f
             HAVRE EXPERIMENTAL
                     STATION
            MONTANA
                            BIOGRAPHIC INFORMATION
                          Latitude
                          Longitude
                          Elevation (m)
                          Landuse
                          Start Summary
                          End Summary
                          Source of Data
 48.50 ° N
109.80 ° W
815
Rural
July 1985
December 1988
NADP/NTN (MT98)

-------
                                                 Havre Experimental Station

                                                     BASIC STATISTICS
A.  PERCENT1LES IN WEEKLY CONCENTRATIONS BY YEAR
      ppt
Year  vol1  25
    50
PH
75    90  max
     Sulphate (mg/L)
25    50   75    90
             Nitrate (mg/L)             Ammonium (mg/L)
max   25    50   75    90   max   25    50    75    90   max
1980	
1981   .....................
1982   .......--.--.-.......
1983	
1984   .....................
1985   -    5.67  5.34   5.16   4.80   4.68   0.44  0.60  0.82   2.35   2.90   0.07   0.22  0.63   3.35   4.43   0.02   0.13   0.16  0.29  0.31
1986  50.3   6.51  5.67   5.45   5.23   5.07   0.35  0.58  0.97   1.34   3.21   0.26   0.56  0.91   1.35   4.60   0.02 .  0.10   0.26  0.77  0.85
1987  22.6   5.92  5.53   5.10   4.87   4.84   0.45  0.78  1.53   2.00   2.17   0.48   0.81  1.20   1.54   1.88   0.09   0.17   0.24  0.47  0.52
1988  19.2   6.45  5.83   5.43   5.25   5.03   0.26  0.47  0.86   1.25   2.55   0.37   0.59  0.71   1.73   3.04   0.05   0.11   0.17  0.44  0.92
B.  VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON
Year
                  Annual                        Winter (Dec-Feb)                    Summer (Jun-Aug)
    pH   Sulphate   Nitrate Ammonium   pH     Sulphate   Nitrate  Ammonium   pH    Sulphate    Nitrate Ammonium
 x2  dep3 x  dep  X   dcp   X   dcp"' X  dep  X   dep   X   dep   X   dep   X  dep   X  dep   X   dep   x  dep
1980
1981
1982
1983
1984
1985
1986
1987
1988
5.45  0.02 0.49 2.47  0.43  2.14 0.11  0.57
5.20  0.01 0.66 1.49  0.75  1.70 0.18  0.41
                                                                  5.40  0.01 0.62 0.80  0.58  0.75 0.09 0.12
                                                                  5.24  0.01 0.60 0.68  0.75  0.84 0.15 0.17
1. Estimated annual precipitation amount in cm.
2. Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3. Estimated deposition in kg/ha.

-------
     BANDELIER
NATIONAL MONUMENT
      NEW MEXICO
              BIOGRAPHIC INFORMATION
                                       	L
             Latitude
             Longitude
             Elevation (m)
             Landuse
             Start Summary
             End Summary
             Source of Data
 35.78 ° N
106.27 ° W
1998
Rural
June 1982
December 1988
NADP/NTN (NM07)

-------
                                           Bandelier National Monument
                                                BASIC STATISTICS
A. PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
     ppt
Year vol1  25
  50
pH                  Sulphate (mg/L)
75   90  max   25   50   75   90
max
25
Nitrate (mg/L)
50   75   90
         Ammonium (mg/L)
max  25    50   75    90  max
1980
1981
1982
1983 37.0
1984 37.3
1985 55.6
1986 56.9
1987 38.2
1988 52.6
.
-
5.82 5.17
5.92 5.36
6.14 5.44
5.34 5.07
5.33 5.13
5.32 5.02
5.15 4.87
.
-
5.05 4.95
4.95 4.83
4.92 4.73
4.86 4.60
4.94 4.63
4.74 4.64
4.70 4.59
-
-
4.93
4.74
4.38
4.35
4.10
4.29
4.46
.
-
0.80 1.14
0.53 0.84
0.80 .26 '
0.63 .15
0.54 .02
0.69 .04
0.66 .09
-
-
.62 1.91
.58 4.12
Z.15 2.58
.68 2.59
.56 2.19
.42 3.28
1.25 1.65
-
-
1.91 0.44
7.75 0.43
3.11 0.66
5.55 0.41
8.80 0.47
5.34 0.75
1.94 0.47
-
-
0.58
0.80
1.13
0.68
0.66
1.05
1.02
. .
-
.32 2.50
.33 3.68
.66 124
.49 1.99
.27 2.26
.96 3.63
.44 2.03
-
-
2.78 0.14
7.51 0.05
3.08 0.08
3.09 0.02
9.84 0.05
5.47 0.06
3.07 0.02
.
-
0.20 0.29
0.09 0.24
0.16 0.27
0.10 0.25
0.08 0.20
0.16 0.23
0.02 0.07
.
.
0.49 0.63
0.51 1.30
0.38 0.69
0.36 1.02
0.41 1.76
0.45 1.22
0.15 0.23
B. VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON
Year
               Annual                     Winter (Dcc-Feb)                  Summer (Jun-Aug)
  pH    Sulphate  Nitrate  Ammonium  pH    Sulphate  Nitrate Ammonium   pH    Sulphate   Nitrate Ammonium
x2 dep3 x  dep  X   dep   x  dcp  X  dep  X   dep  X   dep  X  dep   X  dep  X  dep   x  dep  x  dcp
1ORH
1OR1
19ft?
1983
1984
1985
1986
1987
1988



5.06
5.03
5.04
5.01
4.91
4.89



0.03
0.04
0.05
0.06
0.05
0.07



1.01
1.03
0.90
0.90
1.00
0.89



3.73
3.84
5.00
5.13
3.82
4.70



0.86
0.90
0.71
0.71
1.07
0.78



3.17
3.36
3.94
4.02
4.10
4.08



0.16
0.17
0.12
0.11
0.16
0.05



0.57 5.11
0.63 -
0.66 -
0.65 -
0.59 4.84
0.24 -



0.01
-
-
-
0.02
• '



0.89 0.94 0.51
.
.
.
1.00 1.06 0.85
...



0.54 0.15
-
-
-
0.90 0.14
•



0.16 4.%
4.75
4.97
5.02
0.14 4.84
- 4.85



0.02
0.02
0.02
0.02
0.02
0.03



1.19
1.44
1.15
0.85
1.01
0.90



1.94
1.94
1.63
1.79
1.28
1.94



1.10
1.35
1.14
0.82
1.25
0.85



1.80
1.82
1.61
1.72
1.58
1.83



0.23
0.26
0.19
0.12
0.14
0.03



0.37
0.36
0.27
0.24
0.18
0.07
1.  Estimated annual precipitation amount in cm.
2,  Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
 CAPULIN MOUNTAIN
NATIONAL MONUMENT
     NEW MEXICO
              BIOGRAPHIC INFORMATION
                                        	L
             Latitude
             Longitude
             Elevation (m)
             Landuse
             Start Summary
             End Summary
             Source of Data
 36.78 ° N
103.98 ° W
2205
Rural
November 1984
December 1988
NADP/NTN (NM12)

-------
                                      Capulin Mountain National Monument

                                               BASIC STATISTICS
A. PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
ppt
vol1
-
.
.
46.9
.
47.1
46.9
25
-
.
5.80
6.07
6.23
6.44
5.88
50
-
.
5.80
5.27
5.81
5.65
5.33
PH
75
-
.
5.80
4.92
5.42
5.05
4.85
90
-
.
5.80
4.34
5.04
4.89
4.67
max
-
.
5.80
4.28
5.02
4.69
4.63
25
-
-
0.61
0.75
0.39
0.42
0.63
Sulphate (mg/L)
50 75 90
-
.
0.61
1.18
0.64
0.79
0.87
-
.
0.61
1.68
2.05
1.69
1.36
-
.
0.61
2.86
3.64
2.74
1.99
max
-
.
0.61
5.47
4.16
3.03
2.18
25
-
.
0.26
0.52
0.42
0.50
0.29
Nitrate (mg/L)
50 75 90
-
.
0.26
0.90
0.76
1.29
0.68
-
.
0.26
1.83
2.50
1.95
1.42
•
.
0.26
2.10
4.34
2.47
2.14
max
;
.
0.26
4.31
4.89
3.03
2.45
Ammonium (mg/L)
25 50 75 90
-
.
0.03
0.09
0.02
0.12
0.02
-
.
0.03
0.15
0.11
0.34
0.07
-
.
0.03
0.30
0.23
0.49
0.19
*
• .
0.03
0.58
1.21
1.20
0.31
max
-
_
0.03
0.92
1.60
2.02
0.44
B. VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON
Year
               Annual                      Winter (Dec-Feb)                  Summer (Jun-Aug)
  pH    Sulphate  Nitrate  Ammonium  pH    Sulphate  Nitrate Ammonium   pH    Sulphate   Nitrate  Ammonium
x2 dep3 x  dep x   dep   x  dep  x  dep  x  dep  x   dep  x  dep   x  dep   x  dep   x  dep  x  dep
1980
1981
1982
1983
1984
1985
1986
1987
1988





^ m n ns n o& A 40 n RA i 
-------
CUBA
      NEW MEXICO
     BIOGRAPHIC INFORMATION
                                	J.
    Latitude
    Longitude
    Elevation (m)
    Landuse
    Start Summary
    End Summary
    Source of Data
 36.04 ° N
106.97 ° W
2124
Rural
February  1982
December 1988
NADP/NTN (NM09)

-------
                                                               Cuba
                                                        BASIC STATISTICS
A.  PERCENTILE3 IN WEEKLY CONCENTRATIONS BY YEAR
      ppt
Year vol1   25    50
         pH
         75    90   max
25
Sulphate (mg/L)
 50   75    90    max   25
Nitrate (mg/L)
50    75    90
          Ammonium (mg/L)
max  25    50    75     90   max
1980
1981
1982    -    6.14   5.54
1983  34.7   5.78   5.25
1984  29.4   6.29   5.49
1985  37.3   5.53   4.99
1986  44.9   5.43   4.94
1987  24.9   5.43   5.10
1988  37.8   5.30   4.91
        5.08   4.75   4.45   0.95    1.45   2.21   4.13  7.37   0.55   1.18   1.66   3.31
        4.78   4.65   4.54   0.55    0.97   1.93   3.48  4.54   0.47   0.94   1.56   2.27
        4.88   4.43   3.92   0.97    1.27   2.14   4.46  9.94   0.59   1.09   1.66   3.43
        4.72   4.50   4.27   0.65    0.94   1.73   4.22  9.02   0.42   0.77   1.49   3.15
        4.80   4.45   4.21   0.67    0.97   1.71   2.59  5.74   0.50   0.80   1.23   2.58
        4.78   4.49   4.31   0.53    0.99   1.40   2.76  5.03   0.40   1.02   1.60   2.72
        4.68   4.53   4.19   0.59    0.%   1.33   2.13  3.73   0.42   0.78   1.67   2.07
                                                       4.45  0.09   0.21   0.29  0.43  0.52
                                                       4.01  0.07   0.12   0.22  0.53  0.78
                                                       9.94  0.07   0.17   0.32  0.49  0.73
                                                      11.28  0.02   0.04   0.18  0.53  2.60
                                                       4.09  0.02   0.08   030  0.43  0.62
                                                       5.68  0.07   0.12   0.24  0.34  0.85
                                                       3.91  0.02   0.02   0.09  0.16  0.50
B.  VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON
Year
                 Annual                          Winter (Dec-Fch)                    Summer (Jun-Aug)
   pH    Sulphate   Nitrate  Ammonium  pH    Sulphate   Nitralc Ammonium   pH    Sulphate    Nitrate Ammonium
x2  dep3  x  dep  X   dep   X   dep   X   dcp   X   dep   X  dep   X  dep   X  dep  X   dep   X   dep   X   dcp
1980
1981
1982
1983
1984
1985
1986
1987
1988



4.99
4 go
4.97
4.91
4.92
4.79



0.04
004
0.04
0.05
0.03
0.06



1.08
1 38
0.88
0.93
0.94
0.95



3.74
404
3.26
4.15
2.34
3.61



0.89
1 04
0.68
0.79
0.87
0.93



3.08
304
2.55
3.54
2.17
3.53



0.17
0 18
0.07
0.11
0.14
0.07



0.58
0 S4
0.26
0.51
0.36
0.26



.

5.09 0.01
.
-
4.95 0.01



.

0.75
.
-
0.60



.

0.57
.
-
0.34



.

0.52
-
-
0.46



.

0.40
.
-
0.26



.

0.06
-
-
0.02



.

0.05
.
-
0.01


469
4.78
464
4.79
4.76
4.77
4.74


002
0.02
002
0.01
0.03
0.01
0.04


1 71
1.42
197
1.24
1.09
1.24
0.95


1 47
1.32
1 98
0.95
1.59
0.80
1.89


45
.42
59
.40
.28
.39
.15


1 25
1.33
1 60
1.07
1.88
0.90
2.28


021
0.29
028
0.17
0.17
0.21
0.09


0 18
0.27
028
0.13
0.24
0.13
0.17
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
MAYHILL
      NEW MEXICO
        BIOGRAPHIC INFORMATION
                                   	L
       Latitude
       Longitude
       Elevation (m)
       Landuse
       Start Summary
       End Summary
       Source of Data
 32.91 ° N
105.47 ° W
2009
Rural
January 1984
December 1988
NADP/NTN (NM08)

-------
                                                          Mayhill

                                                    BASIC STATISTICS
A.  PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
      ppt
Year  vol1   25   50
          pH
          75   90   max
     Sulphate (mg/L)
25   50    75   90
max
     Nitrate (mg/L)
25   50    75    90
         Ammonium (mg/L)
max   25    50    75    90  max
1980
1981
1982
1983
1984
1985
1986
1987
1988
-
.
83.9
53.8
81.2
51.8
52.1
-
.
6.09
5.62
5.73
6.15
5.82
-
.
5.51
5.38
5.22
5.43
5.29
•
.
5.04
4.95
5.01
5.09
4.99
-
.
4.76
4.79
4.64
4.95
4.75
*
-
4.69
4.65
4.35
4.87
4.38
*
.
0.60
0.64
0.56
0.73
0.60
•
-
1.02
1.12
1.08
1.05
0.98
-
-
2.16
1.43
1.95
2.41
2.00
-
-
12.70
5.25
4.62
4.06
3.59
•
-
363.8 0.49
12.87 0.29
5.78 0.38
4.11 0.53
5.01 0.22
"
-
0.80
0.66
0.61
0.83
0.71
•
-
.04
.18
.07
.27
.13
•
.
2.27
1.31
1.63
2.49
1.63
•
-
2.45
2.66
3.99
4.06
2.98
•
.
0.09
0.02
0.02
0.10
0.02
-
.
0.12
0.06
0.08
0.13
0.02
•
.
0.22
0.17
0.18
0.21
0.20
•
.
0.51
0.34
0.34
0.50
0.56
-
.
0.61
0.55
0.58
0.58
1.26
B.  VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON
Year
                 Annual                        Winter (Dcc-Feb)                   Summer (Jun-Aug)
    pH    Sulphate   Nitrate Ammonium  pH    Sulphate   Nitrate  Ammonium   pH    Sulphate    Nitrate  Ammonium
 x2  dep3 x   dep  x   dep   X   dcp   X  dep   x  dep   X   dep   X  dep   X dep  x   dep   X  dep  X   dep
1980
1981
1982
1983
1984
1985
1986
1987
1988
5.07  0.05  1.13  6.05 0.55  2.95 0.09  0.49
5.18  0.05  0.98  7.94 0.57  4.66 0.12  0.95

4.92  0.06  1.04  5.42 0.74  3.85 0.08  0.40
                                               5.05 0.05  0.96  5.59 0.60  3.46  0.14 0.82

                                               5.24 0.03  0.74  3.57 036  2.68  0.09 0.43
                                               5.10 0.02  0.80  2.15 0.66  1.76  0.09 0.24
                                               4.88 0.05  1.06  3.73 0.78  2.74  0.05 0.18
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units for pH and in mg/L for .sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
ALSEA GUARD RANGER
       STATION
        OREGON
              BIOGRAPHIC INFORMATION
             Latitude
             Longitude
             Elevation (m)
             Landuse
             Start Summary
             End Summary
             Source of Data
 44.39 ° N
123.62 ° W
84
Rural
January 1980
December 1988
NADP/NTN (OR02)

-------
                                           Alsea Guard Ranger Station

                                               BASIC STATISTICS
A. PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
ppt
vol1
139.7
179.7
183.8
204.1
191.5
104.9
166.9
142.4
156.4
25
6.07
5.77
5.58
5.67
5.64
5.51
5.54
5.68
5.75
50
5.64
5.55
5.42
5.50
5.55
5.33
5.38
5.50
5.45
pH
75
5.43
5.37
5.30
5.32
5.45
5.14
5.30
5.36
5.32
90
5.32
5.19
5.16
5.11
5.28
5.02
5.23
5.22
5.17
max
4.51
5.04
4.78
4.83
4.92
4.54
4.%
5.17
4.93
25
0.39
0.37
0.31
0.41
0.39
0.33
0.31
0.27
0.23
Sulphate (mg/L)
50 75 90
0.66
0.62
0.72
0.52
0.51
0.50
0.46
0.44
0.40
0.99
1.11
1.02
0.79
0.70
0.83
0.67
0.60
0.55
1.47
3.91
2.80
0.97
0.87
1.23
0.95
0.96
0.81
max
2.45
17.25
6.91
1.21
1.22
1.39
1.52
3.75
0.98
25
0.08
0.05
0.08
0.09
0.06
0.03
0.03
0.08
0.03
Nitrate (mg/L)
50 75 90
0.13
0.14
0.16
0.16
0.10
0.10
0.09
0.13
0.07
0.18
0.28
0.43
0.35
0.19
0.18
0.17
0.35
0.12
0.29
0.83
0.98
0.59
0.34
0.41
0.36
0.97
0.23
max
0.65
2.28
1.12
1.19
0.86
1.17
2.28
5.31
0.58
Ammonium (mg/L)
25 50 75 90
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.05
0.07
0.07
0.06
0.02
0.02
0.03
0.02
0.02
0.14
0.19
0.11
0.07
0.03
0.11
0.29
0.04
max
0.08
0.64
0.29
0.21
0.14
0.28
0.32
0.78
0.31
B. VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON
Year
               Annual                     Winter (Dcc-Feb)                 Summer (Jun-Aug)
  pH    Sulphate  Nitrate  Ammonium  pH    Sulphate  Nitrate  Ammonium  pH    Sulphate   Nitrate  Ammonium
X2 dep3 x  dep  X   dcp   X  dep  X  dep  X  dcp  X   dep   X  dep   X dep  X   dep   X   dep  X  dep
1980
1981
1982
IQOl
I~OJ
1984
1985
1986
1987
1988
5.47
5.48
.

5.47
5.34
5.38
.
5.32
0.05
0.06
.

0.06
0.05
0.07
.
0.08
0.57
0.53
.

0.54
0.43
0.35
.
0.41
7.91
9.56
.

10.4
4.53
5.86
.
6.49
0.12
0.12
.

0.10
0.07
0.07
.
0.07
1.62
2.17
-

1.88
0.69
1.24
.
1.14
0.01
0.02
.

0.03
0.01
0.01
.
0.02
0.15
0.29
-

0.52
0.12
0.18
.
0.25
.
5.47
5.38

5.48
5.25
5.34
.
5.45
.
0.02
0.05

0.02
0.02
0.03
.
0.03
.
0.34
0.39

0.46
0.58
0.24
-
0.31
.
2.03
4.65

3.20
1.98
1.70
.
2.33
.
0.14
0.10

0.07
0.17
0.06
.
0.06
.
0.85
1.19

0.52
0.63
0.39
.
0.47
.
0.01
0.01

0.02
0.02
0.01
-
0.01
.
0.07
0.13

0.11
0.08
0.07
.
0.08
4.91
5.42
.
531
5.74
5.29
5.39
5.40
5.23
0.01
0.00
.
001
0.00
0.01
0.00
0.00
0.00
1.26
132
.
033
0.47
0.27
0.29
0.27
0.41
0.76
1.51
.
0.52
0.51
0.36
0.09
0.20
0.27
0.08
0.19
.
0.13
0.14
0.05
0.09
0.15
0.02
0.05
0.22
.
0.20
0.15
0.07
0.03
0.11
0.01
0.02
0.02
.
002
\f.\Jt,
0.05
0.01
0.01
0.01
0.01
0.01
0.02
.
003
\J*\JJ
0.06
0.02
0.00
0.01
0.01
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units Tor pH and in mg/L Tor sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
BULL RUN
        OREGON
        BIOGRAPHIC INFORMATION
       Latitude
       Longitude
       Elevation (m)
       Landuse
       Start Summary
       End Summary
       Source of Data
 45.45 * N
122.15 ° W
267
Rural
July 1982
December 1988
NADP/NTN (OR98)

-------
                                                            Bull  Run

                                                       BASIC STATISTICS


A.  PERCENTILES IN WEEKLY CONCENTRATIONS BY  YEAR


      ppt                pH                    Sulphate (mg/L)               Nitrate (mg/L)              Ammonium (mg/L)
Year vol1   25   50    75    90   max    25   50   75    90    max    25   50   75    90    max   25     50   75    90   max
1980
1981
1982
.
.
- 5.21
.
.
5.11
.
.
4.82
.
.
4.42
.
-
4.22
.
-
0.44
-
-
0.97
.
.
1.31
-
-
3.94
.
-
5.98
.
.
0.29
.
.
0.54
.
.
1.27
.
.
5.92
.
.
6.24
.
.
0.06
.
.
0.17
.
.
0.22
.
.
0.70
.
.
1.04
1983  197.6  5.36   5.25   5.00   4.75   4.44   0.30   0.49   0.85  -1.73   2.42   0.19   0.34   0.83   1.11   2.83   0.02   0.06   0.15   0.30   0.33
1984  200.0  5.64   5.33   5.21   5.08   4.90   0.37   0.52   0.64   1.05   3.77   0.21   0.34   0.53   0.88   2.98   0.04   0.08   0.14   0.26   0.47
1985  136.2  5.29   5.17   4.86   4.62   4.29   0.33   0.51   1.03   2.09   3.72   0.17   0.41   1.11   2.10   6.71   0.02   0.02   0.19   0.44   0.68
1986  156.5  5.38   5.25   4.89   4.59   4.26   0.33   0.55   1.05   2.11   5.04   0.15   0.34   0.92   2.07   5.06   0.02   0.07   0.16   0.34   1.65
1987  137.3  5.44   5.31   5.04   4.67   4.06   0.26   0.40   0.85   1.39   4.21   0.20   0.51   0.89   1.83   4.45   0.02   0.07   0.23   0.37   0.53
1988  185.7  5.41   5.22   5.06   4.82   4.29   0.31   0.46   0.70   0.98   2.72   0.17   0.33   0.76   0.98   3.97   0.02   0.02   0.11   0.17   0.80



B.  VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON



                                 Annual                         Winter (Dcc-Feb)                    Summer (Jun-Aug)
                   pH    Sulphate   Nitrate  Ammonium  pH     Sulphate    Nitrate Ammonium   pH    Sulphate   Nitrate  Ammonium
Year           x2  dep3 x  dep  x   dep   X   dep  X  dep   X   dep   X   dep   x   dep    x  dep   X  dep    X   dep   x   dep
loon
toni
1QR?
tool
19R4
1985
1986
1987
1988




S 30
5.16
.
5.26
5.20




010
0.10
.
0.07
0.12




046
0.43
.
0.36
0.40




9 18
5.79
.
4.92
7.37




028
0.27
.
0.32
0.27




566
3.66
-
4.45
5.05




007
0.04
-
0.06
0.04




1 30
0.53
.
0.84
0.76





5.26
5.33
-
5.36





0.02
0.02
-
0.03





0.44
0.21
.
0.25





1.77
1.09
.
1.76





0.38
0.12
-
0.20





1.52
0.63

1.41





0.05
0.01
.
0.02





0.18
0.07
.
0.15



501
521
5.07
4.90
4.86
5.16



004
001
0.02
0.02
0.01
0.01



064
043
0.40
0.93
0.82
0.46



2.32
1 00
0.71
1.16
0.61
0.65



043
030
0.21
0.76
0.90
0.28



1 56
071
0.38
0.94
0.67
0.40



008
009
0.03
0.15
0.21
0.01



028
022
0.06
0.18
0.15
0.01
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
     H.J. ANDREWS
EXPERIMENTAL FOREST
        OREGON
              BIOGRAPHIC INFORMATION
             Latitude
             Longitude
             Elevation (m)
             Landuse
             Start Summary
             End Summary
             Source of Data
 44.21 ° N
122.25 ° W
436
Rural
May 1980
December 1988
NADP/NTN (OR10)

-------
                                         H.J. Andrews Experimental Forest

                                               BASIC STATISTICS
A PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
Year
1980
1981
1982
1983
1984
1985
1986
1987
1988
ppt
vol1
245.2
245.6
247.8
274.3
148.1
230.9
148.5
225.7
25
5.83
5.68
5.60
5.56
5.64
5.48
5.52
5.57
5.52
50
5.55
5.45
5.41
5.37
5.45
5.37
5.40
5.39
5.41
PH
75
5.41
5.35
5.22
5.18
5.36
5.09
5.27
5.30
5.30
90
5.09
5.13
5.09
4.99
5.11
4.93
5.20
5.08
5.25
max
4.81
5.02
4.68
4.64
4.88
4.77
5.06
4.45
5.08
25
0.12
0.24
0.24
0.23
0.25
0.22
0.19
0.14
0.14
Sulphate (mg/L)
50 75 90
0.50
0.37
0.38
0.42
0.40
0.38
0.27
0.22
0.21
1.56
0.54
0.71
0.65
0.50
0.55
0.39
0.53
0.34
2.98
0.77
1.40
1.23
0.79
0.98
0.68
1.22
0.42
max
5.00
4.29
5.04
2.53
7.00
2.19
1.80
4.01
1.34
25
0.06
0.11
0.09
0.09
0.09
0.09
0.10
0.11
0.03
Nitrate (mg/L)
50 75 90
0.15
0.19
0.23
0.17
0.15
0.19
0.13
0.16
0.08
0.42
0.29
0.51
0.44
0.24
0.41
0.22
0.37
0.18
1.63
0.56
1.38
1.19
0.61
0.98
0.41
1.38
0.29
max
4.03
1.70
2.90
4.45
7.48
1.45
1.21
5.67
2.13
Ammonium (mg/L)
25 50 75 90
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.03
0.02
0.02
0.02
0.02
0.03
0.02
0.06
0.07
0.06
0.03
0.03
0.04
0.02
0.66
0.06
0.25
0.25
0.10
0.11
0.12
0.27
0.02
max
0.98
0.36
0.65
1.92
2.57
0.23
0.28
0.53
0.36
B. VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON


                            Annual                      Winter (Dec-Feb)                 Summer (Jun-Aug)
                pH    Sulphate   Nitrate  Ammonium  pH    Sulphate   Nitrate  Ammonium  pH    Sulphate   Nitrate  Ammonium
Year          X2 dep3 *  dep  X  dep   X  dep  X  dep  X  dep   X   dep   X  dep   X dep  X  dep   X   dep  X  dep
1980
1981
1982
1983
1984
198S
1986
1987
1988

5.43
5.39
5.43
< 11
5.38
5.35
5.36

0.09
0.10
0.10
007
0.10
0.07
0.10

0.31
0.29
0.31
024
0.18
0.21
0.19

7.72
7.17
8.39
351
4.25
3.06
4.22

0.13
0.14
0.13
012
0.08
0.15
0.08

3.06
3.49
3.51
1 84
1.94
2.23
1.81

0.01
0.02
0.03
001
0.02
0.02
0.02

0.27
0.44
0.82
0 19
0.44
0.31
0.34

5.45
5.38
5.44
5.38
5.41

0.03
0.06
0.04
0.03
0.03

0.16
0.30
0.10
0.16
0.15

1.31
4.62
1.01
1.03
1.28

0.10
0.09
0.02
0.07
0.09

0.87
1.29
0.21
0.44
0.73

0.01
0.01
0.01
0.01
0.01

0.08
0.17
0.10
0.07
0.09
538
5.55
5.15
5.25
5.46
5 17
538
4.98
533
000
0.01
0.01
0.01
0.01
001
0.00
0.01
0.01
060
0.57
0.36
032
032
028
033
0.44
0.18
0.59
1.11
0.50
0.65
0.62
031
0.15
0.34
0.21
022
0.26
0.49
0.17
0.22
024
0.18
0.49
0.02
021
0.50
'0.68
0.33
0.41
026
0.08
0.38
0.02
0 OR 0 08
0.01 0.02
0.05 0.06
0.07 0.15
0.05 0.10
0 03 0 03
0.01 0.01
0.05 0.04
0.01 0.01
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
SILVER LAKE RANGER
      STATION
        OREGON
             BIOGRAPHIC INFORMATION
            Latitude
            Longitude
            Elevation (m)
            Landuse
            Start Summary
            End Summary
            Source of Data
 43.12 ° N
121.06 ° W
1336
Rural
August 1983
December 1988
NADP/NTN (OR09)

-------
                                                         Silver Lake
                                                     BASIC STATISTICS
A.  PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
      ppt               pH                   Sulphate (mg/L)               Nitrate (mg/L)            Ammonium (mg/L)
Year  vol1   25    50    75    90  max   25    50   75    90   max   25    50"   75    90    max   25    50    75    90   max
1980
198!
1982
1983
1984 26.4
•
.
6.18
6.21
-
.
5.75
5.90
-
.
5.42
5.52
-
.
5.08
5.21
-
.
5.08
4.98
-
.
0.34
0.32
-
.
0.47
0.40
•
.
1.00
1.70
-
.
1.21
3.70
-
.
1.22
4.31
-
-
0.11
0.16
-
.
0.19
0.31
-
.
0.75
0.80
-
.
1.37
2.24
-
.
1.40
6.58
-
.
0.02
0.02
-
.
0.03
0.08
-
.
0.14
0.15
-
.
0.30
0.38
-
.
0.31
1.01
1985   18.8   5.99  5.75   5.25   5.03   4.98  0.17  0.31   0.54   1.51   1.94  0.12   0.30   0.57   1.31   2.33  0.02  0.03   0.12   0.29   0.72
1986   26.2   5.%  5.64   5.35   5.14   4.98  0.15  0.25   0.49   0.75   0.98  0.15   0.31   0.67   1.24   4.65  0.02  0.03   0.12   0.32   0.54
1987   26.1   5.75  5.43   5.18   4.95   4.48  0.10  0.21   0.38   1.30   2.76  0.16   0.34   0.61   1.45   3.50  0.02  0.06   0.09   0.21   0.25
1988   21.9   5.%  5.50   5.29   4.75   3.99  0.13  0.24   0.38   0.77   1.16  0.07   0.16   0.36   0.87   1.18  0.02  0.02   0.04   0.20   0.52
B.  VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON
Year
                Annual                         Winter (Dcc-Feh)                    Summer (Jun-Aug)
  pH    Sulphate   Nitrate  Ammonium  pH     Sulphate   Nitrate Ammonium   pH    Sulphate    Nitrate Ammonium
x2 dep3 *   dep  x   dep   x  dep  X   dep  X  dep  X  dep  x   dep    x  dep  x   dep   x   dep   x  dep
1980
1981
1982
1983
1984
1985
1986
1987
1988





5.31
5.44
* TO
5.30





0.01
0.01
nni
0.01





0.31
0.22
n?7
0.27





0.58
0.58
070
0.60





0.37
0.29
041
0.22





0.69
0.77
1 06
0.48





0.07
0.04
006
0.03





0.14
0.10
0 IS
0.06





5.57
5.51
5.43





0.00
0.00
0.00





0.38
0.06
0.13





0.09
0.07
0.10





0.25
0.05
0.15





0.06
0.05
0.11





0.06
0.02
0.02





0.01
0.02
0.01





5.10
5.02





0.00
0.00





0.53
0.48





0.26
0.19





0.81
0.14





0.38 0.17 0.08
0.06 0.01 0.01
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
STARKEY EXPERIMENTAL
         FOREST
       OREGON
               BIOGRAPHIC INFORMATION
              Latitude
              Longitude
              Elevation (m)
              Landuse
              Start Summary
              End Summary
              Source of Data
 45.22 ° N
118.51 ° W
1253
Rural
March  1984
December 1988
NADP/NTN (OR18)

-------
                                             Starkey Experimental Forest

                                                 BASIC STATISTICS


A.  PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR


     ppt              pH                  Sulphate (mg/L)             Nitrate (mg/L)            Ammonium (mg/L)
Year vol1  25   50    75   90   max   25   50   75   90   max   25   50   75   90   max  25    50   75    90  max
1980
1981
1982
1983
1984
1985 43.3
1986 53.9
1987 36.3
-
.
5.79
5.46
5.53
5.58
-
.
5.50
5.31
5.38
5.46
-
.
5.30
5.17
5.12
5.14
•
.
5.02
4.85
5.03
4.96
-
.
4.84
4.72
4.78
4.77
-
.
0.33
0.17
0.10
0.10
-
-
0.44
0.27
0.18
0.19
-
-
0.73
0.52
0.40
0.39
-
.
1.56
1.23
0.75
0.53
-
-
3.55
8.67
1.82
1.42
•
-
0.20
0.13
0.11
0.15
•
-
0.33
0.31
0.24
0.28
-
.
0.73
0.65
0.50
0.69
-
.
1.36
2.01
0.92
0.84
• •
.
2.84 0.02
1 1.58 0.02
2.49 0.02
2,59 O.O2
•
.
0.07
0.02
0.02
0.02
-
.
0.11
0.02
0.05
0.11
-
.
0.25
0.35
0.16
0.30
-
.
0.35
3.92
0.39
0.35
1988  55.6   5.58  5.44  5.22   4.86   3.74  0.10   0.20  0.32  0.60   0.95   0.03  0.12   0.24   0.64   1.03  0.02  0.02  0.02   0.11   0.32



B. VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON


                             Annual                      Winter (Dec-Feb)                  Summer (Jun-Aug)
                 pH    Sulphate   Nitrate  Ammonium  pH    Sulphate   Nitrate  Ammonium  pH    Sulphate  Nitrate Ammonium
Year          x2  dep3  X  dep  X   dep   X  dep   X   dep  x  dep  x  dep   X  dep   X dep   X  dep   X  dep   X  dep
1980
lOfll
1982
1983
1984
1985
1986
1987
1988

.



5.26 0.02 0.27 1.15 0.25 1.09 0.03 0.13 	
5.35 0.02 0.14 0.77 0.18 0.95 0.02 0.11 5.46 0.01 0.06 0.11 0.07
5.31 0.02 0.23 0.82 0.35 1.29 0.06 0.22 5.59 0.00 0.14 0.15 0.17
5.34 0.03 0.20 1.09 0.18 1.00 0.02 0.09 	





.
0.13
0.19
-





.
0.01
0.01
-





.
0.02
0.01
-





4.95
5.05
.
5.07





0.00
0.00
.
0.01





0.51
0.44
.
0.35





0.17
0.21
.
0.23





0.44
0.48
.
0.26





0.15
0.22
.
0.17





0.05 0.02
0.06 0.03
.
0.01 0.01
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
BRYCE CANYON
NATIONAL PARK
          UTAH
           BIOGRAPHIC INFORMATION
          Latitude
          Longitude
          Elevation (m)
          Landuse
          Start Summary
          End Summary
          Source of Data
 37.62 ° N
112.17 ° W
2477
Rural
January 1985
December 1988
NADP/NTN (UT99)

-------
                                                        Bryce Canyon

                                                      BASIC STATISTICS
A.  PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
      ppt
Year  vol1  25
  50
PH
75   90  max
     Sulphate (mg/L)
25    50   75    90
                      max
      Nitrate (mg/L)
25    50   75    90
          Ammonium (mg/L)
max  25     50   75     90  max
1980	
1981	
1982	
1983	
1984	
1985  38.4   6.31   5.68  5.20   4.82   4.65   0.38   0.71
1986  34.0   6.04   5.51  5.08   4.72   4.21   0.32   0.52
1987  43.8   6.03   5.34  4.98   4.83   4.60   0.37   0.66
                                     1.23   2.94  3.42   0.22   0.71   1.87   3.25  5.79  0.02   0.06   0.23   0.34   0.52
                                     1.21   2.85  4.27   0.24   0.67   1.22   1.96  2.52  0.02   0.06   0.16   0.19   1.13
                                     1.14   1.94  3.24   0.38   0.64   1.37   1.84  4.92  0.04   0.06   0.12   0.23   0.46
1988  31.4   6.04   5.46  4.85   4.58   4.40   0.26   0.62   1.67   2.92   4.57   0.21   0.87   1.53  2.54   2.96   0.02   0.03   0.18  0.40  0.72
B.  VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON
Year
                 Annual                         Winter (Dcc-Fcb)                   Summer (Jun-Aug)
  pH    Sulphate   Nitrate  Ammonium  pH    Sulphate   Nitrate  Ammonium   pH    Sulphate   Nitrate  Ammonium
x2 dep3 x   dep   x   dep   x   dep  x   dcp   x  dcp  x   dep   x  dep    x dep  x   dep    x  dep   X   dep
1980
1981
1982
1983
1984
1985
1986
1987
1988






5.12
5.07
5.17






0.03
0.04
0..02






0.58
0.70
0.78






1.97
3.08
2.44






0.54
0.67
0.88






1.83
2.95
2.76






0.05
0.09
0.07






0.18 	
0.38 5.00 0.01 0.76 0.68 0.57 0
0.22 	
50 0.07 0.06 4.94
5.11


0.01 0.92 0.98
0.01 1.07 1.19


1.17 1.25 0.14
1.33 1.49 0.05


0.15
0.06
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
 HOH RANGER STATION,
OLYMPIC NATIONAL PARK
     WASHINGTON
               BIOGRAPHIC INFORMATION
               Latitude
               Longitude
               Elevation (m)
               Landuse
               Start Summary
               End Summary
               Source of Data
 47.86 ° N
123.93 ° W
176
Rural
May 1980
December 1988
NADP/NTN (WA14)

-------
                                          Hoh Ranger Station, Olympic National Park

                                                       BASIC STATISTICS
A.  PERCENTJLES IN WEEKLY CONCENTRATIONS BY YEAR
      ppt
Year vol1   25
    50
          PH
          75    90   max
25
Sulphate (mg/L)
 50   75    90    max    25
Nitrate (mg/L)
50    75    90
          Ammonium (mg/L)
max  25    50    75    90  max
1980
1981
1982
1983
1984
1985
1986
1987
1988
.
368.5
366.5
398.4
347.8
221.1
350.6
.
345.0
5.75
5.62
5.73
5.62
5.69
5.59
5.56
5.47
5.56
5.47
5.40
5.50
5.51
5.46
5.43
5.44
5.39
5.42
5.35
5.24
5.36
5.36
5.37
5.26
5.34
5.31
5.28
4.88
5.03
5.22
5.20
5.24
5.09
5.21
5.18
5.12
4.71
4.57
4.83
5.08
4.95
4.95
4.83
5.00
4.42
0.29
0.30
0.27
0.10
0.30
0.22
0.16
0.19
0.19
0.42
0.50
0.46
0.35
0.45
0.32
0.25
0.30
0.27
0.%
0.71
0.75
0.58
0.58
0.53
0.38
0.39
0.46
0.93
1.22
1.91
0.99
0.79
0.75
0.72
0.52
0.66
4.04
1.85
2.38
5.77
6.38
1.01
0.93
0.58
2.30
0.05
0.07
0.06
0.04
0.04
0.03
0.03
0.06
0.03
0.11
0.13
0.09
0.09
0.11
0.03
0.03
0.09
0.04
0.23
0.19
0.19
0.14
0.15
0.11
0.08
0.13
0.12
0.31
0.35
0.56
0.28
0.21
0.25
0.38
0.25
0.18
0.40
1.61
1.75
5.20
0.91
1.27
0.71
0.29
4.48
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.02
0.03
0.02
0.04
0.02
0.02
0.02
0.02
0.02
0.03
0.07
0.04
0.06
0.02
0.02
0.05
0.02
0.07
0.14
0.19
0.67
1.46
0.15
0.47
0.08
0.30
B.  VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR  AND SEASON
Year
                   Annual                          Winter (Dec-Feb)                    Summer (Jun-Aug)
    pH    Sulphate   Nitrate Ammonium   pH     Sulphate   Nitrate  Ammonium   pH     Sulphate    Nitrate Ammonium
 x2  dep3  x   dep   x   dep  x   dep   x   dep   x  dep  x   dep   x   dep    x dep  x  dep   x   dep   x   dep
1980
1981
1982
1983
1984
1985
1986
1987
1988
                                                                              5.18  0.02  0.73  1.67  0.13  0.28  0.01  0.02
                                                                              5.34  0.02  0.57  2.17  0.15  0.56  0.01  0.05
                                                                              5.40  0.01  0.25  0.50  0.08  0.15  0.01  0.02
5.39  0.15  0.39  14.3 0.10 3.50 0.01  0.48   -     -     -     -
5.41  0.14  0.36  13.2 0.07 2.46 0.02  0.59	
5.45  0.14  0.29  11.5 0.07 2.95 0.02  0.60  5.45  0.07  0.18  3.41  0.06  1.20 0.02 0.40 5.24 0.02 0.46  1.97  0.12  0.50  0.01  0.04
5.47  0.12  0.35  12.3 0.08 2.89 0.02  0.83  5.65  0.03  0.45  5.54  0.07  0.86 0.03 0.34 5.36 0.01 0.51  1.09  0.11  0.23  0.02  0.04
                             0.01  0.22  5.44  0.02  0.29  1.72  0.08  0.45 0.01
5.37  0.10  0.32  7.03 0.04 0.91
5.39  0.14  0.27  9.50 0.04
                                             0.06
                         1.51  0.01  0.39  5.43  0.05  0.23  2.82  0.03  0.42  0.01 0.12 5.30 0.01  035  0.57  0.05  0.08  0.01  0.02
                                       5.34  0.06  0.29  3.62  0.07  0.83  0.01 0.16	
                         	5.29 0.01  0.35  0.63  0.05  0.09  0.01  0.02
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

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LA GRANDE
     WASHINGTON
         BIOGRAPHIC INFORMATION
        Latitude
        Longitude
        Elevation (m)
        Landuse
        Start Summary
        End Summary
        Source of Data
 46.84 ° N
122.29 ° W
617
Rural
April 1984
December 1988
NADP/NTN (WA21)

-------
                                                         La Grande

                                                    BASIC STATISTICS
A.  PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
      ppt               pH                    Sulphate (mg/L)               Nitrate (mg/L)             Ammonium (mg/L)
Year  vol1   25   50    75   90   max    25   50    75    90   max   25    50   75    90   max  25     50   75    90   max
1980
1981
1982
1983
1984
1985 66.6
1986 97.8
1987 73.0
-
.
5.52
5.34
5.34
5.37
•
.
5.24
4.94
5.23
5.14
-
.
5.00
4.65
4.91
4.63
™
.
4.62
4.44
4.63
4.38
"
.
4.28
4.35
4.25
4.30
*
.
0.47
0.53
0.23
0.34
-
.
0.67
0.83
0.47
0.77
-
.
1.10
1.18
0.78
1.66
-
.
2.96
2.71
1.34
3.71
-
.
11.14 0.13
3.29 0.16
3.28 0.07
6.65 0.15
-
.
0.25
0.32
0.18
0.49
•
.
0.66
0.53
0.42
1.09
-
.
3.40
1.18
1.64
1.57
*
.
9.37
1.83
t.90
6.24
•
•
0.02
0.02
0.02
0.02
-
.
0.05
0.02
0.02
0.06
-
.
0.10
0.02
0.07
0.15
-
.
0.29
0.12
0.27
0.46
-
.
3.55
0.15
0.48
1.29
1988   90.6   5.32   5.09   4.88  4.63   4.44   0.38   0.54  0.90   1.48   3.67  0.10   0.23   0.40  0.72   1.55   0.02   0.02  0.03   0.10   0.35



B. VOLUME WEIGHTED AVERAGES AND DEPOSITION BY  YEAR AND SEASON



                               Annual                        Winter (Dec-Feb)                   Summer (Jun-Aug)
                  pH    Sulphate   Nitrate  Ammonium   pH     Sulphate   Nitrate  Ammonium   pH    Sulphate  Nitrate  Ammonium
Year          x2  dep3 x  dcp   x   dep   X  dep   X  dep  x   dep   x   dep   x   dep    x dep  x   dep   x  dcp  x   dep

1980           I    -'-    ~-    ".~.     "    '-    --•'     •"     -    -    "-    '    '•    '•    -'-    "     ~
1981           	
1982           •         	
1983           	
1984           	4.88  0.02  0.78 0.98 0.49 0.62 0.07  0.09
1985           	
1986           5.15  0.07  0.41 3.96 0.20 1.94  0.03 0.28	
1987           5.00  0.07  0.62 4.54 0.32 2.31  0.05 0.37  5.08 0.03 0.34  1.03 0.20 0.62  0.03  0.08 4.75  0.01  1.15 0.74 0.44 0.28 0.06  0.04
1988           5.01  0.09  0.51 4.65 0.25 2.30  0.02 0.22	4.92  0.01  0.71 0.44 0.20 0.12 0.01  0.01


I.  Estimated annual  precipitation amount in cm.
2.  Volume weighted  averages (in pH units for pH and in mg/L Tor sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
     MARBLEMOUNT,
CASCADES NATIONAL PARK
     WASHINGTON
                BIOGRAPHIC INFORMATION
               Latitude
               Longitude
               Elevation (m)
               Landuse
               Start Summary
               End Summary
               Source of Data
 48.54 ° N
121.45 ° W
120
Rural
February 1984
December 1988
NADP/NTN (WA19)

-------
                                          Marblemount, Cascades National Park

                                                   BASIC STATISTICS
A.  PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
      ppt
Year  vol1   25   50
         PH
         75    90  max
     Sulphate (mg/L)
25   50    75    90   max
     Nitrate (mg/L)
25   50    75    90
         Ammonium (mg/L)
max   25    50   75    90   max
1980
1981
1982
1983
1984
1985
1986
1987
1988
-
.
180.1
165.8
191.3
148.5
226.6
•
.
5.11
5.12
5.36
5.25
5.20
-
.
4.96
4.95
5.14
5.05
5.06
•
.
4.78
4.76
4.92
4.78
4.96
•
.
4.65
4.68
4.61
4.72
4.67
~
.
4.39
4.68
4.04
4.52
4.56
•
-
0.50
0.31
0.16
0.28
0.27
-
-
0.73
0.51
0.31
0.36
0.38
•
-
0.96
0.72
0.54
0.80
0.52
•
-
2.20
0.93
0.97
0.92
1.15
-
.
3.56
0.94
2.25
1.41
2.20
-
.
0.26
0.14
0.14
0.22
0.12
--
.
0.45
0.38
0.33
0.34
0.30
•
.
0.74
0.73
0.71
0.80
0.49
-
.
1.83
1.11
1.25
1.25
1.02
-
.
3.54
1.32
7.92
1.46
1.91
-
.
0.02
0.02
0.02
0.02
0.02
-
.
0.05
0.02
0.02
0.02
0.02
-
.
0.07
0.02
0.07
0.04
0.02
-
.
0.24
0.12
0.20
0.10
0.02
-
.
0.83
0.21
0.33
0.18
0.06
B.  VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON
Year
                 Annual                       Winter (Dec-Feb)                   Summer (Jun-Aug)
    pH    Sulphate   Nitrate Ammonium   pH     Sulphate   Nitrate  Ammonium   pH    Sulphate   Nitrate Ammonium
 x2  dep3 X  dep  X  dep  X  dep  X  dcp  x  dep  X  dep   X  dep   X dep  X  dep   X  dep   x  dep
1980
1981
1984
1985
1986
1987
1988
5.15 0.14  0.27  5.20 0.25  4.71  0.02  0.46	
5.04 0.14  0.38  5.70 0.33  4.84  0.02  0.33	
5.09 0.18  0.32  7.25 0.22  5.01  0.01  0.25 5.14  0.05 0.32  2:25 0.22  1.51 0.01  0.07
                                              4.71  0.03  1.15  1.66  0.62 0:89  0.07 0.09

                                              4.86  0.01  0.44  0.47  0.59 0.62  0.05 0.05
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units Tor pH and in mg/L for sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
NEWCASTLE
             WYOMING
   BIOGRAPHIC INFORMATION
                               i—
  Latitude
  Longitude
  Elevation (m)
  Landuse
  Start Summary
  End Summary
  Source of Data
 43.87 o N
104.19 ° W
1466
Rural
August 1981
December 1988
NADP/NTN (WY99)

-------
                                                    Newcastle
                                               BASIC STATISTICS
A. PERCENTILES IN WEEKLY CONCENTRATIONS BY YEAR
ppt
Year vol1 25
1980
1981 - 6.28
1982 46.6 5.96
1983 34.3 6.05
1984 33.3 6.21
1985 25.8 6.12
1986 55.8 6.16
1987 29.7 6.15
1988 34.8 6.13
50
5.75
5.43
5.81
5.61
5.50
5.61
5.66
5.80
PH
75 90
5.45 4.85
5.07 4.92
5.19 4.93
5.15 4.92
5.17 4.90
5.26 5.03
5.20 5.02
5.46 5.00
max
4.82
4.79
4.85
4.84
4.43
4.86
4.67
4.75
25
1.32
0.64
0.72
0.69
0.66
0.54
0.42
0.53
Sulphate (mg/L) Nitrate (mg/L) Ammonium (mg/L)
50 75 90 max 25 50 75 90 max 25 50 75 90 max
1.87 3.55 22.39 Z3.10 0.68 1.20 .97 7.59 8.52 0.09 0.19 0.40 1.59 1.84
1.05
1.16
1.12
1.01
0.74
0.92
0.90
.65 2.73 4.55 0.66 0.86 .25 2.40 3.89 0.08 0.21 0.33 0.66 1.04
.62 3.09 7.82 0.54 0.94 .42 3.12 4.06 0.07 0.23 0.54 0.82 2.43
.63 2.38 16.42 0.71 0.99 .45 2.26 4.63 0.10 0.20 0.29 0.57 1.03
.60 2.51 6.64 0.40 1.03 .70 3.39 8.97 0.02 0.22 0.34 0.69 2.08
.12 2.06 2.43 0.41 0.80 .50 2.26 3.33 0.02 0.11 0.24 0.48 1.30
.49 2.21 4.66 0.55 0.85 .69 1.94 5.99 0.08 0.13 0.21 0.49 0.71
.32 2.03 2.70 0.47 0.95 .56 2.68 3.82 0.02 0.07 0.14 0.59 0.74
B. VOLUME WEIGHTED AVERAGES AND DEPOSITION BY YEAR AND SEASON
Year
               Annual                      Winter (Dec-Feb)                 Summer (Jun-Aug)
  pH    Sulphate  Nilratc  Ammonium  pH    Sulphate  Nitrate Ammonium   pH    Sulphate   Nitrate  Ammonium
x2 dep3 x  dep  X   dcp   X  dep  X  dep  X  dcp  X   dep  X  dep   x dep  x  dep   x   dep  X  dep
1980
1981
1982
1983
1984
1985
1986
1987
1988


5.14 0.03
5.20 0.02
5.18 0.02
5.24 0.01
5.23 0.02
5.37 0.01


0.90 4.20
1.11 3.80
1.05 3.50
0.95 2.44
0.77 2.29
1.13 3.94


0.88 4.10
1.01 3.48
0.88 2.94
0.97 2.50
0.80 2.39
1.01 3.53


0.20 0.%
0.36 1.23
0.20 0.65
0.21 0.54
0.14 0.42
0.11 0.37


5.32 0.00 0.72 0
5.38 0.00 1.34 0
.
35 0.74 0.36
37 0.81 0.22


0.19 0.09
0.08 0.02


5.02 0.02 (
5.12 0.01
5.09 0.01
5.31 0.00
5.28 0.00
5.32 0.01
).99 1.96
.27 1.60
.01 1.79
.13 0.94
.27 0.55
.12 1.77


1.04 2.06
1.36 1.72
0.93 1.64
1.26 1.04
1.48 0.63
1.27 2.01


0.22 0.43
0.36 0.45
0.20 0.35
0.30 0.25
0.23 0.10
0.07 0.10
1.  Estimated annual precipitation amount in cm.
2.  Volume weighted averages (in pH units for pH and in mg/L for sulphate, nitrate, and ammonium).
3.  Estimated deposition in kg/ha.

-------
SINKS CANYON
       WYOMING
          BIOGRAPHIC INFORMATION
                  *
                  •
                                       i	
         Latitude
         Longitude
         Elevation (m)
         Landuse
         Start Summary
         End Summary
         Source of Data
 42.73 ° N
108.85 ° W
2164
Rural
August 1984
December 1988
NADP/NTN (WY02)

-------