Description
of
June
17,
2003,
Presentation
Maps
Wind
Sites
This
map
was
created
by
overlaying
wind
monitor
locations
that
were
made
available
by
ADEQ
by
latitude/
longitude
with
general
topography
and
political
boundaries.
Significant
lakes
and
cities
are
also
shown,
as
well
as
general
urban,
forest,
and
Indian
reservation
landuse.

Data
Sources:
University
of
Arizona,
SRP,
Maricopa
County,
ADEQ,
USGS,
ALRIS
Ozone
Sites
This
map
was
created
by
overlaying
ozone
monitor
locations
that
were
made
available
by
ADEQ
by
latitude/
longitude
with
general
topography
and
political
boundaries.
Significant
lakes
and
cities
are
also
shown,
as
well
as
general
urban,
forest,
and
Indian
reservation
landuse.

Data
Sources:
University
of
Arizona,
SRP,
Maricopa
County,
ADEQ,
USGS,
ALRIS
Receptor
Area
Study
Zones
This
map
was
created
by
overlaying
receptor
area
study
zones
that
were
made
available
by
Gary
Neuroth,
Air
Pollution
Evaluations
&
Solutions
with
general
topography
and
political
boundaries.
Significant
lakes
and
cities
are
also
shown.

Data
Source:
ADEQ,
USGS,
ALRIS,
Neuroth
Receptor
sectors
with
and
without
80/
85
ppb
boundaries
This
series
of
maps
was
created
by
overlaying
receptor
area
boundaries
and
80
ppb
and
85
ppb
boundaries
that
were
made
available
by
Gary
Neuroth,
Air
Pollution
Evaluations
&
Solutions,
with
general
topography
and
political
boundaries.
Significant
lakes
and
cities
are
also
shown.

Data
Source:
ADEQ,
USGS,
ALRIS,
Neuroth
80
and
85
ppb
Receptor
Areas
This
map
was
created
by
overlaying
80
ppb
and
85
ppb
receptor
area
boundaries
that
were
made
available
by
Gary
Neuroth,
Air
Pollution
Evaluations
&
Solutions,
with
general
topography
and
political
boundaries.
Significant
lakes
and
cities
are
also
shown,
as
well
as
general
urban,
forest,
and
Indian
reservation
landuse.

Data
Source:
ADEQ,
USGS,
ALRIS,
Neuroth
Current
and
Future
Residential
land
use
This
map
was
created
using
data
obtained
from
the
City
of
Payson,
Yavapai
County,
and
MAG.

The
Payson
zoning
data
was
manually
digitized
from
a
hardcopy
zoning
map,
using
USGS
township,
range,
and
section
lines
as
a
guideline.
Only
the
residential
zones
are
shown
on
this
map,
in
red.

Yavapai
County
provided
its
zoning
data
in
a
digital
format,
which
was
then
queried
to
extract
the
residential
zones,
which
are
shown
in
red.

Two
datasets
from
MAG
were
used
for
this
map.
The
first
was
land
use
for
the
year
2000,
and
residential
land
use
was
extracted
and
is
shown
in
red.
Second,
a
dataset
that
showed
platted
subdivisions
was
used.
Platted
subdivisions
are
shown
in
blue,
indicating
development
that
will
take
place
in
the
near
future,
or
perhaps
is
already
taking
place.
Platted
subdivisions
have
been
through
the
planning
process
and
are
approved
to
be
built.

Data
Sources:
MAG
2000
Landuse
digital
GIS
file,
Yavapai
County
Zoning
digital
GIS
file,
Payson
Zoning
hardcopy
map
Current
and
Future
Land
use
with
Pinal
Traffic
Projections
Two
datasets
from
MAG
were
used
for
this
map.
The
first
was
land
use
for
the
year
2000,
and
residential
land
use
was
extracted
and
is
shown
in
red.
Second,
a
dataset
that
showed
platted
subdivisions
was
used.
Platted
subdivisions
are
shown
in
blue,
indicating
development
that
will
take
place
in
the
near
future,
or
perhaps
is
already
taking
place.
Platted
subdivisions
have
been
through
the
planning
process
and
are
approved
to
be
built.

Data
from
the
Pinal
County
Transportation
Plan
2000
Update
was
also
used.
The
map
depicts
change
for
Annual
Average
Daily
Traffic
Counts
for
Pinal
County
from
2005­
2020.

Data
sources:
Lima
and
Associates
digital
GIS
file,
MAG
digital
GIS
files
Current
Residential
land
use
with
Emissions:
This
map
shows
the
Anthropogenic
VOC
emissions
that
were
produced
by
the
SMOKE
model
overlayed
by
current
residential
landuse.
The
SMOKE
dataset
was
provided
by
the
ASU
Department
of
Mechanical
and
Aerospace
Engineering
and
is
displayed
by
6km
cell
output,
which
is
the
resolution
of
the
model.

Data
Source:
MAG
2000
Landuse
digital
GIS
file,
ASU
Department
of
Mechanical
and
Aerospace
Engineering
(
Ascii
file)
Current
Residential
land
use
with
Source
Area:
This
map
was
created
by
overlaying
a
source
area
boundary
that
was
made
available
by
Gary
Neuroth,
Air
Pollution
Evaluations
&
Solutions,
with
current
and
future
landuse.

Data
Sources:
MAG
2000
Landuse
digital
GIS
file,
ALRIS,
Neuroth
Current
Residential
land
use
with
Wind
Arrows:
This
map
was
created
by
overlaying
wind
direction
arrows
that
were
made
available
by
Gary
Neuroth,
Air
Pollution
Evaluations
&
Solutions,
with
current
and
future
landuse.

Data
Sources:
MAG
2000
Landuse
digital
GIS
file,
ALRIS,
Neuroth
Source
with
Transportation
Modeling
Area:
This
map
was
created
by
overlaying
a
source
area
boundary
that
was
made
available
by
Gary
Neuroth,
Air
Pollution
Evaluations
&
Solutions,
with
the
Transportation
Modeling
Area.
The
map
is
shown
with
general
topography
and
political
boundaries.
The
transportation
modeling
area
was
scanned
and
georeferenced
from
"
Preliminary
Draft,
Initial
Analysis
for
an
Eight­
Hour
Ozone
Boundary
Option
for
the
Maricopa
County
Nonattainment
Area,"
May
2003,
Maricopa
Association
of
Governments.

Data
Sources:
Neuroth,
MAG
Source
Area
with
Area
A
and
One­
Hour
Nonattainment
Areas
This
map
was
created
by
overlaying
a
source
area
boundary
that
was
made
available
by
Gary
Neuroth,
Air
Pollution
Evaluations
&
Solutions,
with
Phoenix
Area
A
and
the
one
hour
nonattainment
boundaries
which
were
provided
by
ADEQ.
The
map
is
shown
with
general
topography
and
political
boundaries.

Data
Sources:
Neuroth,
ADEQ
80
and
85
Receptor
areas
combined
with
Source
area:
The
80
ppb
receptor
area
was
combined
with
the
source
area
and
the
85
ppb
receptor
area
was
combined
with
the
source
area
to
create
this
map.
The
map
shows
the
boundaries
for
the
8
hour
ozone
nonattainment
options
for
80
ppb
and
85
ppb.
The
map
is
shown
with
general
topography
and
political
boundaries.

Data
Sources:
ADEQ,
USGS,
ALRIS,
Neuroth
80
area
aggregated
to
township
The
nonattainment
boundary
line
was
used
to
cut
out
the
township
data
within
it.
Townships
that
crossed
the
boundary
were
clipped.
The
newly
calculated
area
of
each
township
in
the
cut
out
layer
was
divided
by
the
original
area
of
the
township
to
get
the
percentage
of
each
that
fell
within
the
boundary.
These
percentages
were
linked
back
to
the
original
townships
by
their
ID
numbers.
Townships
were
interactively
selected
for
display
in
the
map
based
on
having
at
least
50%
of
their
area
within
the
nonattainment
boundary.

Data
Sources:
ADEQ,
USGS,
ALRIS,
Neuroth
85
area
aggregated
to
township;
The
nonattainment
boundary
line
was
used
to
cut
out
the
township
data
within
it.
Townships
that
crossed
the
boundary
were
clipped.
The
newly
calculated
area
of
each
township
in
the
cut
out
layer
was
divided
by
the
original
area
of
the
township
to
get
the
percentage
of
each
that
fell
within
the
boundary.
These
percentages
were
linked
back
to
the
original
townships
by
their
ID
numbers.
Townships
were
interactively
selected
for
display
in
the
map
based
on
having
at
least
50%
of
their
area
within
the
nonattainment
boundary.

Data
Sources:
ADEQ,
USGS,
ALRIS,
Neuroth
