Document ID: EPA-HQ-OW-2003-0074-0267
Agency: epa
Document Type: Supporting & Related Material
Title: 
Posted Date: 2003-12-24T05:00Z

CORRECTIONS
TO
LOADS
CALCULATED
FROM
PERMIT
COMPLIANCE
SYSTEM
(
PCS)
DISCHARGE
DATA
EPA
conducted
a
screening­
level
review
of
facilities
in
specific
industry
groupings.
One
data
source
for
this
review
was
EPA's
Permit
Compliance
System
(
PCS)
data
(
located
on
EPA's
mainframe).

EPA
used
year
2000
data
from
PCS,
along
with
the
Effluent
Data
Statistics
(
EDS)
program,
SIC/
Point
Source
Category
(
PSC)
Crosswalk,
Chemical
Abstract
Service
(
CAS)
registry
numbers,
and
EAD's
Toxic
Weighting
Factors
(
TWFs),
to
develop
the
PCSLoads2000
database
tool.
PCSLoads2000
is
a
Microsoft
Access
 
database
that
presents
the
estimated
pollutant
loadings
discharged
by
facilities,
industries,
and
point
source
categories.
The
development
of
this
database
is
discussed
in
more
detail
in
the
report
entitled
Development
of
PCSLoads2000,
dated
December
12,
2003.
The
data
dictionary
for
the
PCSLoads2000
database
is
entitled
PCSLoads2000
Data
Dictionary,
dated
December
12,
2003.

During
the
course
of
the
PCS
analysis,
several
data
corrections
were
made
to
data
that
were
calculated
or
reported
incorrectly
in
PCS.
These
data
corrections
are
listed
in
the
addendum
to
Development
of
PCSLoads2000.
The
recalculation
of
three
facilities'
data
is
detailed
in
this
document.
The
three
facilities
are:

°
Washington
Aqueduct,
Dalecarlia
Plant
­
Washington,
D.
C.
Facility
ID:
DC0000019
°
Sloss
Industries
Corporation
­
Birmingham,
AL
Facility
ID:
AL0003247
°
Duke
Energy
South
Bay
­
Chula
Vista,
CA
Facility
ID:
CA0001368
Table
1
.
Mainframe
PCS
Data
and
Loads
Calculation
Results
for
NPDES
ID
DC0000019
Discharge
Pipe
Measurement
Date
Flow
Measurement
Quantity
Average
Value
(
MG)
Aluminum,
Total
Measurement
Concentration
Average
Value
(
mg/
L)
Calculated
Aluminum
Load
(
kg)

1/
31/
2000
2/
29/
2000
6.1
1322
30,563
3/
31/
2000
0
4/
30/
2000
5.1
2183
42,195
5/
31/
2000
7.1
1094
29,438
6/
30/
2000
7.1
1094
29,438
7/
31/
2000
0
8/
31/
2000
5.1
1850
35,759
9/
30/
2000
6.4
2707
65,661
10/
31/
2000
0
11/
30/
2000
0
12/
31/
2000
5.1
2980
57,600
290,655
1/
31/
2000
0
2/
29/
2000
0
3/
31/
2000
0
4/
30/
2000
0
5/
31/
2000
0
6/
30/
2000
30.1
374
42,666
7/
31/
2000
0
8/
31/
2000
0
9/
30/
2000
0
10/
31/
2000
0
11/
30/
2000
0
12/
31/
2000
0
42,666
1/
31/
2000
0
2/
29/
2000
7
748
19,844
3/
31/
2000
0
4/
30/
2000
0
5/
31/
2000
0
6/
30/
2000
0
7/
31/
2000
0
8/
31/
2000
0
9/
30/
2000
0
10/
31/
2000
0
11/
30/
2000
0
12/
31/
2000
0
19,844
TOTAL
ALUMINUM
(
kg/
year)

TOTAL
ALUMINUM
(
kg/
year)

TOTAL
ALUMINUM
(
kg/
year)
2
3
4
Washington
Aqueduct,
Dalecarlia
Plant
­
Washington,
D.
C.
Background:
This
facility
had
unusually
high
TWPEs
due
to
aluminum
loads.
PCS
mainframe
data
were
checked
and
the
discharges
were
found
to
be
calculated
incorrectly
by
EDSS
because
of
intermittent
releases.
Change:
The
aluminum
loads
were
recalculated
using
mainframe
PCS
data.

The
mainframe
PCS
data
for
this
facility's
aluminum
and
flow
discharge
is
presented
in
Table1
with
the
calculated
load.
It
was
assumed
that
the
discharge
reported
was
a
batch
discharge,
instead
of
a
constant
concentration.
The
load
was
calculated
based
on
this
assumption.
The
monthly
loads
were
calculated
from
the
mainframe
data
using
the
following
calculation:

Million
Gallons
x
1,000,000
Gallons
x
3.79
liters
x
mg
x
kg
=
kg
Million
Gallon
Gallon
Liter
1,000,000
mg
For
example,
the
2/
29/
2000
load
from
pipe
2
is
calculated
as:

6.1
Million
Gallons
x
1,000,000
Gallons
x
3.79
liters
x
1322
mg
x
kg
=
30,563
kg
Million
Gallon
Gallon
Liter
1,000,000
mg
The
monthly
loads
were
summed
to
determine
the
yearly
load
from
each
discharge
pipe.
Sloss
Industries
Corporation
­
Birmingham,
AL
Background:
This
facility
was
reviewed
because
it
had
unusually
high
TWPEs
due
to
benzo(
a)
pyrene
loads.
PCS
mainframe
data
was
checked
and
the
discharge
was
found
to
be
calculated
incorrectly
by
EDSS
because
of
intermittent
releases.
Change:
The
benzo(
a)
pyrene
loads
were
recalculated
using
mainframe
PCS
data.

The
mainframe
PCS
discharge
data
listed
one
discharge
of
Benzo(
a)
pyrene
in
2000.
A
discharge
of
0.339
pounds
per
day
was
reported
on
December
31,
2000.
A
new
load
for
benzo(
a)
pyrene
was
estimated
using
the
following
calculation:

0.339
pounds
x
365
days
=
123.74
pounds
day
Year
Year
Table
2.
Mainframe
PCS
Data
and
Loads
Calculation
Results
for
NPDES
ID
CA0001368
Measurement
Date
Flow
Measurement
Quantity
Average
Value
(
MGD)
Chlorine
Measurement
Concentration
Average
Value
(
mg/
L)
Calculated
Chlorine
Load,
kg/
day
1/
31/
2000
560.37
<
50
0.00
2/
29/
2000
460.13
<
50
0.00
4/
30/
2000
399.48
61
92.36
5/
31/
2000
449.97
70
119.38
6/
30/
2000
561.7
50
106.44
7/
31/
2000
588.5
70
156.13
8/
31/
2000
580.6
40
88.02
9/
30/
2000
532.8
50
100.97
Daily
Average
94.76
Daily
Average
*
365
day/
year
34,585.76
Duke
Energy
South
Bay
­
Chula
Vista,
CA
Facility
ID:
CA0001368
Background:
This
facility
had
unusually
high
TWPEs
due
to
chlorine
loads.
PCS
mainframe
data
was
checked
and
the
discharge
was
found
to
be
reported
incorrectly.
The
permit
limit
units
were
mg/
L;
the
load
was
assumed
to
be
reported
in
ug/
L.
EDSS
used
the
permit
limits
to
calculate
the
load.
Change:
The
chlorine
loads
were
recalculated
using
mainframe
PCS
data
for
chlorine
with
the
correct
units.

The
mainframe
PCS
data
for
this
facility's
chlorine
and
flow
discharge
is
presented
in
Table
2
with
the
calculated
load.

The
monthly
loads
were
calculated
from
the
mainframe
data
using
the
following
calculations:

Million
Gallons
x
1,000,000
Gallons
x
3.79
liters
x
ug
x
kg
=
kg
Day
Million
Gallon
Gallon
Liter
1,000,000,000
ug
day
For
example,
the
chlorine
load
for
4/
30/
2000
was
calculated
as:

460.13
MG
x
1,000,000
Gallons
x
3.79
liters
x
61
ug
x
kg
=
106.4
kg
Day
MG
Gallon
Liter
1,000,000,000
ug
day
The
daily
average
load
was
calculated
and
multiplied
by
365
days
per
year
to
determine
the
yearly
load,
34,586.76
kg
of
chlorine
per
year.
As
of
12/
12/
2003,
due
to
a
transcription
error,
the
value
recorded
in
PCSLoads2000_
v3
was
34,985
kg/
yr.
This
error
will
not
have
an
impact
on
the
industry
rankings.