EPA-440/4-79-024
Office of Water Planning
and Standards IWH-551)
Washington. D.C. 20460
United Stales
Environmental Protection
Agency
-------
Fish Kills Caused by Pollution in 1976
Seventeenth Report
United States Office of Water Planning Project Manager
Environmental Protection and Standards Edward Bierrtacki
Agency Monitoring and Data Support
Division
Monitoring Branch
Washington D.C, 20460
-------
Contents
Introduction 2
Statistical Highlights 3
Basic Statistics 4
National Fish Kill Summary by
Sources of Pollution _ 5
Major Fish Kills 8
Fish Killed, by Type
of Water Body 8
Fish Kills, by Month __ 9
Fish Kills, by Duration
and Severity 9
Regional Summary of Reported Fish
Kills 9
State Summary of
Reported Fish Kills ... 10
Tables
1 Historical Summary of Pollution-
Caused Fish Kills, June 1960-De-
cember 1976 4
2 Fish Kill Summary by Source of
Pollution, 1976 5
3 Pollution-Caused Fish Kill Sum-
mary by State, 1976 ... 7
4 Major Kills-100.000
or Over-1976 8
5 Fish Kill Summary by Type of
Water Body, 1976 8
6 Fish Kill Summary by Month,
1976. 9
7 Fish Kill Summary by Duration
and Severity of Kill, 1976 9
8 Number of Fish Kill Reports by
Source of Pollution Within EPA
Regions, 1976 10
Figures
1 Percentage of Fish Kills, Re-
ported in United States by Cause
1976 5
2 Cumulative Reported Fish Killed,
1961-1976 ... 6
3 Figures 3 through 45-By States-
Reported Fish Kills, by Size and
Percentages of Causes, 1976 ... 11-53
Appendices
Introduction 54
A Report of Fish Kills, 1976-Cause
Identified 55
B Report of Fish Kills, 1976-Cause
Not Specifically Identified 65
C State Agencies 69
D Report of Pollution-Caused Fish
Kill-Sample Form 71
E Glossary 72
-------
Introduction
This seventeenth annual fish kill report is
based on voluntary reporting by State
and local agencies. The report includes
an analysis of data which describes the
number incidents, the total number of
fish killed, the average size of a kill, and
details of the largest fish kill or kills
reported. The report also includes the
number of reported incidents by each
pollution source category and by the
individual sources of pollution under
these major categories.
Since fish kill reporting is done on a
voluntary basis, it should be stressed
that the pollution-caused fish kills
reported in this publication probably
represent only a fraction of the kills
which actually occurred during the 1376
period. Numerous small kills go
unnoticed or unreported, and some
significantly large kills are not included
due to lack of sufficient information to
determine if the kills were caused by
pollutants or were due to natural causes.
It is often quite difficult to determine the
actual cause of a kill, even when the
most careful investigative and analytical
procedures are used.
The Public Health Service began
reporting pollution-caused fish kills on
June 1,1960, under the authority of the
Federal Water Pollution Control Act, PL
84-660, Section 4(C).
In 1960, the Surgeon General of the
Public Health Service requested that all
State fish and game conservation
agencies report instances of fish kills
attributable to pollutants. Working
closely with the U.S. Fish and Wildlife
Service and various independent
conservation organizations, the Public
Health Service designed a self-addressed
post card reporting form (Appendix D).
This form was furnished to the State
agencies to be completed when fish kills
occurred. Summary totals, statistical
evaluations, and conclusions are based
upon the information contained in these
reporting forms.
In 1972, the responsibility for fish kill
reporting was transferred to the United
States Environmental Protection Agency
(EPA) in an attempt to secure additional
information on the effects of pollutants
discharged to surface waters. The
principal objective was to determine, if
possible, the causes of fish kills, and to
place responsibility when kills were
caused by man-made pollution.
The annual EPA fish kill reports represent
the combined voluntary efforts of private
individuals. State fish and game, health,
and conservation officers, and water
pollution control officials at the State and
Federal level. Usually, a fish kill is first
noticed by a fisherman, camper, or other
private citizen who initiates the reporting
process by contacting a warden or other
state official. The State agency then
sends sends trained specialists to
investigate and identify the species
involved and the cause and size of the
kill. Where water pollution is determined
or suspected to be the cause, the State
submits a report to the EPA.
The reporting system depends, to a large
extent, upon individuals in the field
making State officials aware of fish kills.
It is quite likely that the large increases
in reports since 1970 over earlier years
are at least partially a result of increased
public awareness of pollution. In an
effort to further increase this awareness
and to encourage individuals to report
kills to State officials, we are including
Appendixes A, B, C, D, and E to this
report:
• Appendix A—Report of Fish Kills, 1976-
Cause Identified;
• Appendix B—Report of Fish Kills, 1976-
Cause not specifically Identified;
• Appendix C—A list of State agencies
who should be notified of kills;
• Appendix D—A reproduction of the
report form to show the information
desired; and,
• Appendix E—A definition of the types
of operations identified as pollutant
sources.
-------
Statistical
Highlights
The following are summary statistics of
fish kills reported in 1976.
• All States Reported in 1976
For the fifth time since the inception of
the annual pollution-caused fish kill
reporting system in 1960, every State
in the Union participated. Seven States
reported no fish kills.
• A Marginal Increase was Registered
in the Number of Reported Fish Kills
Over that of 1975
Since 1971, when 860 fish kill reports
were submitted, there had been a
continuous decrease in the number of
fish kills reported until this year.
However, the number of fish reported
killed was the lowest since 1967.
• Over 484 Million Fish Reported Killed
Since 1960
The 13.6 million fish reported killed
in 1976 brought the cumulative total of
all fish reported killed by water
pollution since 1960 to 484 million.
• Agricultural Operations Led All
Operations in the Number of Fish Kill
Incidents
In 1976, the 151 fish kills reported
under agricultural operations led all
other identified pollution sources in the
number of reported fish kill incidents.
• Municipal Operations Killed More
Fish Than Any Other Pollution Source
in 1976
The 10.3 million fish killed by pollution
from municipal operations represent 76
percent of the 13.6 million fish
reported killed in 1976.
-------
Table I contains historical data for the
seventeen years that fish kill reports have
been received. The table summarizes the
following; the number of Stales reporting; th
number of reported pollution-caused fish kill
incidents; the number of reports which spech
how many fish died; the reported number of
fish killed; the largest single fish kill for each
year; the number of reports for each pollution
source operation; and a breakdown of fish
killed by site of kill. The number of incidents
and the numbers of fish killed are probably
understated because of incomplete reporting
and the difficulties of estimating numbers of
dead fish.
Table 1—Historical Summary of Pollution-Caused Fish Kills, June 1960-December 1976
I960'
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
Number of Stales re-
sponding
38
45
37
38
40
44
46
40
42
45
45
Number of reports ...
289
413
421
442
580
625
532
454
542
594
635
Reports which state num-
ber of fish killed ,..
151
265
246
304
470
520
453
364
469
492
563
Total reported number of
fish killed
6,035,000
14,910,000
44,001,000
6,937,000
22,914,000
12,140,000
9,614,000
11,291,000
15,815,000
45,166,000
22,290,000
Average size of kill' ...
2,925
6,535
5,710
7,775
5,490
4,310
5,620
6,460
6,015
5,860
6,412
Largest kill reported
5,000,000
5,387,000
3.180 000
2,000,000
7.887,000
3,000.000
1,000, ooo
6,549,000
4.Q29.0QO
25,527,000
3.240,000
Number of reported inci-
dents for each pollu-
tion source opera-
tion
Agricultural
79
74
51
84
131
114
88
87
77
117
108
Industrial
103
169
209
199
193
244
195
139
177
199
213
Municipal3
24
52
33
60
120
125
87
91
122
84
120
Transportation ...
0
0
1
17
26
27
27
23
39
32
28
Other
33
58
47
27
17
23
38
38
23
33
28
Unknown ..
50
60
80
55
103
92
87
79
104
129
138
Total reports ...
289
413
421
442
590
625
532
454
542
594
635
No
No
No
No
No
No
No
No
No
No
No
Number of reports end
No
fish
No
fish
No
fish
No
fish
No
fish
No
fish
No
fish
No
fish
No
fish
No
fish
No fish
fish killed by size
re-
(mil-
re-
imtl-
re-
imit-
re
(mil-
re-
Imii-
re-
(mil
re-
(mil
re-
tmil-
re-
Imi!-
re-
(mil-
re- Imtl-
grouping
ports Itons!
ports lions'-
ports lions) ports lions)
ports liens)
ports lions)
ports lions)
ports Uonsl
ports lions)
ports lions)
pfirts lionsl
1,000,000 or more
1
5,0
4
12 6
2
41,0
1
20
5
16,9
3
5.4
2
2.0
1
6,5
3
6,1
4
35 1
5 11,4
100,000 to 1,000,000 ..
3
0.13
5
0,85
9
169
12
2,68
15
3.82
17
4,62
23
5.48
7
2,66
30
7.44
3
3,15
26 7.44
10,M0 to 100,(KM
15
0.31
45
1.05
38
1.01
54
182
59
1.65
63
1.42
58
1.53
49
1.58
64
1,79
81
206
91 2.73
1,000 to 10,000
64
0.18
107
0.34
89
0.30
134
041
167
0.49
202
0.59
185
0.55
143
0.46
153
0.48
165
052
198 0.62
0 to 1,000
ee
0,02
104
0 03
108
0,03
103
0,03
224
0,07
235
0,07
185
0,05
164
0.05
219
0.06
233
0.06
243 0,07
No size reported for inci-
dent
138
148
175
138
120
105
79
90
73
102
72
Average duration of kill in
days ...
2.91
2 64
2.59
3.18
2.44
2,57
2,71
334
2,99
3,11
3,25
1 Dewed alter ndudrng resorts of 100,000 Mis o» won as or v. J Mumopat mrtMftt iwtade fleam: power gowning mtvm
1 Reporting systsf* «.n effect im isst m mmh% of i860
A
Basic Statistics
In 1976,667 fish kill reports were
submitted (Table 1). Of these, 601 reports
(SO percent of the total) stated the
number offish killed. In the remaining 66
reports submitted, fish losses were either
not stated, or were not expressed in
numerical terms.
From 1961 through 1976, the estimated
number of fish killed annually ranged
from a low of 6.9 million in 1963 to a
record high of 119 million in 1974. In
1974,47 million fish were reported killed
in Back River, near Essex, Maryland, the
record high for a single incident.
In 1976 the lowest number of fish (13,6
million) were reported killed since 1967.
In 1976 as in previous years, most of the
incidents were small—that is, they killed
fewer than 10,000 fish apiece. However,
most of the fish were killed in very few
incidents. For instance, 65 percent of the
fish killed were reported killed in only
three of the 667 incidents (Table 1).
In 1976, sources of pollution were
identified in 513 of the 667 reports.
These kills are listed individually in
Appendix A. The 154 kills for which the
pollution source could not be positively
identified are listed in Appendix B.
-------
National Fish Kill Summary by
Sources of Pollution
A total of 13.6 million fish were reported
killed in 601 separate incidents of water
pollution from all sources {Table 21. In
the remaining 66 reports submitted, fish
losses were either not stated, or were
not expressed in numerical terms.
Figure 1 is a national chart which
indicates by percentages the total fish
kills (incidents) as reported by the type of
operation which was responsible for the
fish kill. Unknown causes accounted for
23 percent of the kills. Agricultural
operations ranked first (22 percent) in the
number of reported fish kills. This
category includes pesticides, manure-
silage drainage, and fertilizers. Municipal
operations ranked second (20 percent).
This category includes sewerage
systems, power, refuse disposal and
water systems. Industrial operations
ranked third (17 percent) in the number
of reported fish kills. This category
Figure 1
Percentage of Fish Kilts Reported
United States, by Cause - 1976
in
Figure f summarizes as percentages the
reported fish kill incidents which were
identified wish a pollution source-type of
operation during 1976.
Agricultural
Operators
22%
Other
Operations
10%
Industrial
Operations
17%
Municipal
Operations
20%
Table 2 summaries all reported fish kills and
the number offish killed in 1976 by major and
individual pollution sources. Kills attributed to
natural causes are not included.
Table 2—Fish Kill Summary by Source of Pollution—1976
1971
1972
1973
1974
1975
1976
Reports specifying number of fish
killed
46
50
50
50
50
50
860
760
749
721
624
667
759
697
703
648
543
601
73.670.00C
17,7
17,000
37,814,000
19,052,000
16,111,210
13,611,049
6,154
4,639
5,527
6,532
3,879
4,509
5,500,000
2,922,000
10,000,000
47,1'
12,000
10.000,000
4,800,000
132
113
161
145
118
151
231
189
196
168
122
112
162
167
146
169
90
133
52
56
65
40
47
50
64
72
56
74
78
67
219
163
125
125
169
154
860
760
749
721
624
667
No
Mo
No
No
No
No
No fish
No
fish
No
fish
No
fish
No
fish
No
fish
re- (mil-
re-
Irmil-
re-
(mil-
re-
(mil-
re-
(mil-
re-
^mil-
ports lions)
ports lions)
ports
lions)
ports lions)
port's
lions)
ports
lions!
28 63 0
6
8.97
6
23,53
6
107,6
3
12 0
3
8.83
26 6,37
21
5.43
19
4.65
20
7.1
9
1.87
10
2.15
124 3.33
81
2.60
88
2.74
110
3.6
65
1.62
81
1.96
266 0.86
216
0.62
251
0.81
187
0.6
173
0,57
183
0,57
315 0.10
367
0.09
339
0,09
325
0.1
293
0.07
323
0.09
101
63
46
73
81
67
3,35
3,40
2.72
3.58
2,18
3.18
Source of pollution
Agricultural
Insecticides
Fertilizers
Marture-siiage drainage
Subtotal
Industrial
Mining
Food products
Paper products
Chemicals
Petroleum
Metals
Combinations
Other
Subtotal
Municipal
Sewerage systems
Refuse disposal
Water systems
Swimming pool
Power
Subtotal
Transportation
Rail
Truck
Barge or boat
Pipeline
Subtotal
Other operations;
Unknown
Total
Total
reports
No. of
reports
103
17
31
151
16
14
4
26
21
3
2
20
112
104
7
12
3
7
133
10
22
2
16
80
67
154
667
79
17
30
126
1s
13
2
23
19
8
2
16
102
6
11
2
5
126
22
2
14
46
62
143
601
No of fish
389.544
108,834
142,230
51,830
87,345
8,500
268,463
18,669
12.543
26,844
106,086
589,280
8,375,814
1,112,589
44,234
3,055
156,760
10,292,452
56,015
334,806
5,200
183:837
579,858
642,646
866,205
13,611.049
-------
includes chemicals, petroleum, mining,
food products, paper products, and
metals. Transportation operations
accounted for 8 percent of the kills. This
category includes truck, barge or boat,
pipeline, and rait.
Figure 2
Cumulative Reported Fish Killed, 1961-
1976
in millions
The 13.6 million fish reported killed in
1976 brought the total number of fish
killed (Figure 2) to 482.2 million in 7,802
separate incidents since 1961, the first
full year of reporting. These 7,802
separate incidents, plus 1,673 reported
incidents which did not state the number
of fish killed, brought the total incidents
for the 1961-1975 period to 9,476.
A total of 43 States reported at least one
fish kill incident (Table 3). The remaining
seven states (Alaska, Maine, Michigan,
New York, South Dakota, Tennessee, and
Vermont) staled they had no recorded
incident of pollution-caused fish kills
occurring in 1976. The State of Ohio
continued to submit the largest number
of annual reports (115). Ohio accounted
for 17 percent of the total reported
incidents in 1976.
Figure 2 shows that over 482 million fish were
reported killed by pollution over a 16-year
period. This graph summarizes the reported
number of fish killed for the 1361-1376 period.
The first reporting year, 1360 was excluded
since the reports included only the last six
months of that year.
500
450
400
350
300
250
200
150
100
50
I I
I I I I
V V
* #
-------
Table 3 summarizes data, from the 43 States
which reported one or more pollution-caused
fish kill incidents. Of the 667 reports
submitted, 601 indicated the number of fish
killed. The remaining 66 reports did not
specify the number offish killed. Table 3 also
shows the number of reports for incidents that
occurred in rivers, lakes, and coastal waters.
Table 3—Pollution Caused Fish Kili Summary by State, 1976
Reports specifying number of fish killed
Number of reports and water surfaces affected
River
Lake
Coastal waters*
Number
Number
Number
Number
Number
Number Number
Total
of
Number
of
of
of
of
of of
State
reports
reports
of fish
rsports
miles
reports
acres
reports miles
Alabama
11
11
438,464
9
54
2
10
Arizona
1
1
3,666
1
1
Arkansas
7
4
208,477
7
52
California
73
77
413,084
47
121
3C
895
1
Colorado
2
2
4,814
2
6
Connecticut
19
17
247,665
13
11
4
11
I
Delaware
5
5
3,201,370
2
3
1
17
2 5
Florida
20
19
287,195
3
14
6
53
6 24
Georgia
23
18
51,749
20
65
3
5
Hawaii
3
3
3,080
3
3
Idaho
7
6
25,110
6
5
1
1
Illinois
22
22
521,658
17
64
5
36
Indiana
31
30
4,860.648
29
244
2
3
Iowa
4
4
5,800
4
14
Kansas
27
27
145,700
18
52
9
589
Kentucky
18
16
127,062
18
45
Louisiana
8
7
15 3C0
8
17
Maryland
11
11
37,057
7
108
3
22
1 30
Massachusetts
3
3
23,500
2
2
1
234
Minnesota
1
1
200
1
2
Mississippi
2
2
4,450
2
23
Missouri
26
24
80,656
20
33
6
22
Montana
4
4
30,850
4
1,0
Nebraska
8
7
7,146
4
14
4
4
Nevada
1
1
]
New Hampshire
3
2
8.900
3
5
New jersey
18
18
50,575
11
17
7
43
New Mexico
1
1
12
North Carolina
9
7
24,371
8
488
1
North Dakota
1
1
200
1
Ohio
115
115
1,851,248
114
1
Oklahoma
41
19
17,829
14
15
27
27
Oregon
20
19
53,068
18
30
2
2
Pennsylvania
32
31
96,257
31
51
1
5
Rhoda Island
1
1
8
South Carolina
7
6
38,966
2
8
5
7
Texas
31
25
554,852
25
51
4
5
2
Utah
1
1
3
Virginia
17
16
96,786
17
57
Washington
9
3
32,000
4
8
3
210
2 3
West Virginia
13
13
33,796
13
31
Wisconsin
4
4
2,000
4
4
Wyoming
2
1
800
1
2
1
182
Total
667
601
13,611,049
519
1,744
132
2,393
16 62
•Includes ertibayments siiCh as Chesapeake, San Francisco, arc Gatvesion Bays
-------
Major Fish Kills
In 1976,13 kills were reported in which
the number of dead fish equaled or
exceeded 100,000 each, accounting for
80 percent of the 13.6 million fish killed
by pollution (Table 4).Three of these kills
involved more than a million fish each.
The largest single kill occurred in the
West Fork of the White River, near
Indianapolis, Indiana, accounting for 4.8
million fish. This single kill, caused by a
sewerage system, accounted for 35
percent of the reported fish killed in
1976.
Table 4—Major Kills—100,000 or Over—1976
Lake or stream
Near or in
State
Number
of fish
Operation
State Hatchery
Eastaboga
Alabama
109,632
Poisons
Industrial Ca
Mobile
Alabama
206,210
Sewerage system
Mckinney Cr
Franklin Co
Arkansas
178,551
Truck transportation
Cottonwood Cr
Cottonwood
California
160,000
Other operations
Housatonic R
Milford
Connecticut
200,000
Sewerage system
Rehoboth lay
Angola
Delaware
226,000
Other operations
White Cr
Millville
Delaware
2,952,154
Sewerage system
Watson Bayou
Panama City
Florida
242,150
Sewerage sysem
Queens La
New Memphis
Illinois
170,19?
Pipeline transportation
W FK White R
Indianapolis
Indiana
4,800,000
Sewerage system
Great Miami R
Butler Co
Ohio
1 078.047
Refuse disposal
Lake Erie
Lake Co
Ohio
150,000
Power
Tres Paiacios Ba
Matagorda Co
Texas
509,750
Unknown
Fish Killed, by Type of Water
Body
The largest number of fish kill incidents
occurred in river waters as compared to
coastal or lake waters (Table 5), Almost
two-thirds (8.8 million) of tha total fish
reported killed died in rivers, while 29
percent (3.9 million} died in coastal
waters and 5 percent (748,418} died in
lakes.
Table 4 lists the 13 major fish kill incidents
occurring in 1976 in which 100,000 or more
fish were killed in each incident Also listed is
the lake or stream name, the nearest town or
country, the state, the number offish killed
and the operation responsible for each kill.
Table 5—Fish Kill Summary by Type of Water Body, 1976
Reports specifying extent of area affected
River Lake Coastal waters*
Type of water body
Total
reports
Numer of
reports
Number
offish
Number
of reports
Miles
Number
of reports
Acres
Number
of reports
Mils
River
519
478
8,870.647
519
1,744
Lake
132
109
748,418
132
2,393
Coastal waters*
16
14
3,991,984
16
62
Total
667
601
13,611,049
519
1,744
132
2,393
16
62
•inefudw tmbaymems such as Chesapeake, San Fta/roseo awl Gafvestoit Bays.
Table 5 summarizes the reported fish kilt
incidents and the number of fish killed in 1976
by type of water body (river, lake, and coastal
waters), and the extent of the area reportedly
effected (miles oracresl. The mileage and
acreage figures cannot always be accurately
estimated, so care should be exercised in their
use.
-------
ish Kills, By Month
he greatest number of reports (53
ercent) were submitted during the
ummer months from June through
eptember (Table 6). The greatest
umber offish (7 million, 51 percent)
/ere reported killed during that season,
lowever, November ied all months in
Dtal fish killed because of the massive
ish kill reported in Indiana (4,8 million)
i/hich occurred during that month.
:ish Kills, by Duration and
Severity
Jot all reports indicate the duration of
he reported kills. In 1976, 46 percent
308 reports) indicated the duration of
he kill, with an average of 3.2 days
Table 7), an increase of 1 day per
iverage duration over that of 1975. In
976, the longest pollution incident (64
lays) occurred in Louisiana as a result of
:ondenser water discharge from sugar
nills (Appendix A).
rhe severity of a fish kill is reported as
'complete", "heavy", "moderate", or
'light" (Table 7). A total of 98
'complete" kills were reported,
iveraging 7,631 fish killed per report.
'Heavy" kills averaging 5,441 fish were
eported on 204 occasions. "Moderate"
:ilIs were reported on 104 occasions
iveraging 2,504 fish per kill, "Light" kills
vere reported on 100 occasions,
iveraging 1,047 fish per kill. The severity
vas not reported on 161 occasions
iveraging 4,966 fish killed.
Table 6—Fish Kill Summary by
Month, 1976
Reports specifying
number of fish killed
Total
Number
Number
Month
reports
of reports
of fish
January
15
13
21,737
February
42
30
264,876
March
42
30
94,018
April
64
58
369,786
May
72
69
328,644
June
87
84
475,71B
July
87
76
1.999,723
August
31
85
447,551
September
84
79
4,098,965
October
36
35
431,463
November
30
27
5,038,888
December
17
15
39,680
Total
667
601
13,611,049
Table 6 summarizes the reported fish kills and
the number of fish killed by month.
Table 7 summarizes the estimated severity
and the reported duration of fish kills, their
average size, and the number and percent of
reports for the different pollution sources.
Regional Summary
of Reported Fish
Kills
Table 8 summarizes the reported number
of pollution-caused fish kill incidents by
pollution source operation within each
Environmental Protection Agency Region.
This table permits the comparison of the
frequency of reported incidents in
different sections of the United States.
Region I supports a large number of
small privately owned metal factories
that are located in communities along
the streams throughout New England.
This fact is reflected in the number of
reported fish kills that have identified the
metal industry as a leading cause offish
kills in New England.
Regions II and III contain the Appalachian
coal mining areas of Maryland,
Pennsylvania and West Virginia and the
large concentration of chemical
industries along the Delaware River.
These industries are among the leading
sources of reported fish kills in these
Regions.
Region IV has enjoyed economic growth
in the agricultural industry, expansion in
the manufacturing industry and an influx
of population because of increased
employment opportunities. These
economic developments are manifested
by the number of fish kill reports that
identify agricultural operations and
municipal sewerage systems as the
leading sources of pollution.
Region V contains, along the shores of
the Great Lakes, one of the nation's more
heavily populated and industrialized
areas. Municipal sewerage systems
fable 7—Fish Kill Summary by Duration and Severity of Kill, 1976
Duration of Kill
Agricultural
Industrial
Municipal
Transportation
Other Operations
Unknown
Number
of
Average
Average
everity of kill
reports
Kill"
No.
(days)*
No.
Percent
No,
Percent
No.
Percent
No.
Percent
No.
Percent
No.
Perceft
omplete kill
98
7,631
70
4.71
22
14
18
16
20
15
Id
28
10
14
14
9
eavy kill
204
5,441
126
2,75
61
40
30
26
37
27
10
20
20
29
46
29
Moderate kill
104
2,504
56
2,70
25
16
18
16
20
15
3
6
10
14
29
18
ght kill
100
1,047
50
2.82
16
10
19
17
9
6
13
26
13
19
30
19
ot stated
161
4,966
6
1.67
27
17
27
24
47
35
10
20
14
20
35
22
Total
667
4,509
308
3,18
151
100
112
100
133
100
50
100
67
100
154
100
rclud«s all fish kilted as reported plus an allowance computed for repons which fjid no! indicate the number of fish rhat died
'Derived after encMsng 13 reports cf 100.000 kills or more.
-------
account for the greatest number of
reported fish kills within this Region.
Regions VI through X are less densely
populated than most of the eastern
regions and are also more dependent on
agricultural activities. As a result, the fish
kill reports from these regions cite
pesticides used in agriculture as the
most frequent cause of fish kill incidents.
State Summary of
Reported Fish Kills -
1976
Figures 3 through 45 are individual state
maps with appropriate symbols that
identify the locations and sizes of the
reported fish kills. The pie charts display
the fish kills as a percentage by
operation for each state.
Table 8—Number of Fish Kill Reports by Source of Pollution Within EPA
Regions, 1976*
EPA Regions
Source of pollution;
1
II
III
IV
V
VI
VII
VIII
IX
X
Total
Agricultural:
Pesticides
1
4
14
11
32
18
2
14
7
103
Fertilizers
8
1
4
2
7
17
Manure-silage drainage .
1
1
2
18
2
5
1
1
31
Subtotal ...
1
2
4
16
37
35
27
3
16
10
151
Industrial;
Mining
9
1
2
1
1
1
1
16
Food products
2
2
6
2
1
1
14
Paper products
2
1
1
4
Chemicals .
2
8
3
3
4
1
3
2
76
Petroleum
4
2
6
6
2
1
21
Metals
3
6
9
Combinations .. _
2
2
Other
1
3
4
5
3
1
1
2
2(1
Subtotal
4
2
26
12
30
18
6
1
7
6
112
Municipal;
Sewerage systems
4
2
9
17
42
8
16
4
2
104
Refuse disposal
5
1
1
7
Water systems
1
3
3
3
1
1
12
Swimming pool ..
2
1
3
Power
1
3
2
1
7
Subtotal
4
3
15
21
53
8
18
6
5
133
Transportation:
Rail
3
3
1
1
2
10
Truck
2
6
4
4
1
1
1
2
1
22
Barge or boat
1
1
2
Pipeline
2
6
6
1
1
16
Subtotal
2
8
7
13
8
3
1
4
4
50
Other Operations:
4
6
14
10
11
1
4
3
11
3
67
Unknown:
13
3
11
24
29
18
7
2
39
8
154
Total
26
18
78
90
173
%
65
10
83
36
667
REGION 1
Connecticut
Maine
Massachusetts
New Hampshire
Rhode Island
Vermont
REGION II
New Jenev
New York
REGION III
Delaware
District of Columbia
Maryland
Pennsylvania
Virginia
West Virginia
REGION IV
Alabama
Florida
Georgia
Kentucky
Mississippi
North Carolina
South Carolina
Tennessee
REGION V
Illinois
Michigan
Minnesota
Ohio
Wisconsin
REGION VI
Arkansas
I /iiiitiana
New Mexico
Oklahoma
Texas
REGION Ml
Iowa
Kansas
Missouri
Nebraska
REGION Mil
Colorado
Montana
North Dakota
South Dakota
Utah
Wyoming
REGION IX
Arizona
California
Hawaii
Nevada
REGION X
* Prvsi-nt EPA nuiom wen: hi 1W7I
Idaho
Oregon
Washington
Table 8 summarizes the number of reported
pollution-caused fish kill incidents by
individual source of pollution for each EPA
region. As in 1975, Region VIII reported the
smallest number of fish kill incidents (10
reports), while Region V (173 reports) led in
the number of reported incidents.
-------
Figure 3 Fish Kills bV Size
State of Alabama—Reported Fish ¦ mn innn
Kills, by Size and Percentages of • tnnn™ n nnn
Causes 1976 * loKSooSo
X 100 ODD—1000 000
^ over 1000 000
X,
Aivsk Mil Cmrnt, Int., Mnt rak. »183Si
Industrial
Dpsrations
. 8%
Municipal
Oparatas
47%
11
-------
Figure 4
State of Arizona—Reported Fish Rsh K,Hs bV Siz®
Kills, by Size and Percentages of ¦ 1-100
Causes—1976 • 100-1000
A 1000-10 000
+ 10 000-100 000
X 100 000-1000 ooc
+ over 1000 00C
»•*. #183S2
12
-------
Figure 5 Fish Kills by Size
State of Arkansas—Reported Fish 5 mn~!nnn
c»Lbsv Si™nd Percemages of * 1000=10 000
causes iy/b + 10 000-1QD 0Q0
X 100 000-1000 000
^ over 1000 000
c/i
© Amwtcan M«p Camping. Nit., Dm fork, #10392
Unknown
Industrial
Operations
13%
13
-------
Figure 6 Fish Kills by Size
State of California—Reported Fish g 1-100
Kills, by Size and Percentages of • 100-1000
Causes—1976 A 1000-10 000
+ 10 000-100 000
X 100 000-1000 000
^ over 1000 000
Unknown
20%
¦IK, Dm Vnrt. 118382
Other
14
-------
Fish Kills by Size
Figure7 ¦ i —100
State of Colorado—Reported Fish q 100-1000
Kills, by Size and Percentages of A t qqo-i ~ 00D
Causes—1976 + 10 000-100 000
X 100 000-1000 000
^ over 1000 000
© Aiwncin Map VmfW. Inc., '«*. WM2
-------
Figure 8
State of Connecticut—Reported
Fish Kills, by Size and Percentages
of Causes—1976
Fish Kills by Size
¦ 1-100
• 100-1000
A 1000-10 000
+ 10 000-100 000
X 100 000-1000 000
^ over 1000 000
Map Ca*«f, ht. »«* «,HW
. Industrial
Operations
0.12%
0flw_
Operation]
0.12*
Municipal
Operations
99%
16
-------
Figure 9
State of Delaware—Reported Fish
Kills, by Size and Percentages of
Causes—1976
\ * a
-Unknown
1%
Municipal
Operations
32S
-------
Figure 10
State of Florida—Reported Fish
Kills, by Size and Percentages of
Causes—1976
•y.:,
\ k '
YT
\ ^
Jl » /«*»
L.
UutfMWtf T^KUiMpA 1
jO*** "
Fish Kills by Size
¦ 1-100
• 100-1000
~ 1000-10 000
+ 10 000-100 000
X 100 000-1000 000
^ ovar 1000 000
Mm m* he. Mm ?**, il!3S2
I
Sor*»s«
; •
«« <««> ^
-fif&MH fwVt*
'COtLlt«
18
-------
Figure 11
State of Georgia—Reported Fish
Kills, by Size and Percentages of
Causes—1976
Fish Kills by Size
¦ 1-100
• 100-1000
~ 1000-10 000
+ 10 000-100 000
X 100 000-1000 000
^ over 1000 000
* ""T" ^ w ¦
i "*Df / CAtOQSA/WHlTj1 UaNNIN
\ / L Jmj . I
S I OW«t$ A fiAEJUlr /
/ /
'• N
f sit
sham
lUMP«UH
OOBDG*
w*f<
i^CNS
PiCUfKiS
QA*SO»<
FO»S»lJ-
fLJ-ffi
/ SAfiltO*
c LAIWi JWJU I'm o
5>»l/LQ(NG
*i%«£S
~JjtftAiSON
WJHTCf*
INCGL*
CHECM
FlMO /\DUFflE (COWMB
1
CCV.I "¦*/,, V,{
~UNA.*
aif M Mv>vt
ejSAf
COCK
jsrrt*so*
,QHt5 \ BM.Q** )
K-P&DtS
/^EJHUfrA JsCKlvf*
MONSOC
«ll*INSO*<
MAS 5,5
EM**u€
AiHNSCN /
^-T^FaCh f S V,"
MACO* W fBlECK.U'/A
MARHjf"
BUCKU
TR£utvl*(
C,*NQLtS
*000
MO^ .
£OMHr*
PULASS
30CLT
fVAKS
SCHLf
CRtS»
3U57VAN
lOMS
fUBS
ifjf DAvlS
ryfiNtB
£Of«£ } &*CQ*
OCuGHlS
€A«L!
QllMh
rfCuCU
M!U|H
\ >L.- "X
-1«« f
CUNC
COO"
o£c*ruB
CHARITON
1-LV l,
Amwkift Mm Cantptnf, Jnc, Ntw Yark, #18332 \ \
LJ
Mimicijw
Operations
13%
T ransportation
Operations
13%
Unknown
66%
19
-------
Figure 12 Fish Ki,ls by J®'2e
State of Hawaii—Reported Fish ¦ j J J
r!l!?;«v s«Td Percen
-------
Figure 13
State of Idaho—Reported Fish
Kills, by Size and Percentages of
Causes—1976
Agricultura
Operations
100*
Fish Kills by Size
¦ 1-100
• 100-1000
A 1000-10 000
+ 10 000-100 000
X 100 000-1000 000
^ over 1000 000
Buhner
KOOTENAI
«ll PERCE
PAYETTf
TETOh
CANYOrt
QQDOfnC 1 LINCOLN
BANNOCK CARIBOU
itTOMI
WINIDOU
PJNFAIU + ^
ONClW
Amrictn Map Cwnpifiy, Inc., Niw York, #18392
21
-------
Figure 14 Fish Kills by Size
State of Illinois—Reported Fish 5 „!-122n
Slf™ Si9786nd PerC°n,a9eS °' ! lJSo-!S oOO
uauses—13/b + 10000_1000oo
X 100 000-1000000
^ over 1000 000
Unknown
11*
21%
Industrial
15*
Operations
46%
22
-------
Figure 15 f'sh Kills by Size
State of Indiana—Reported Fish ¦ 1-100
Kills, by Size and Percentages of •
panepc 1Q7R * I UUU 1 U UUIJ
causes is/e + 10 000- 100 000
X 100 000-1000 000
^ over 1000 000
Muntciiui
Operations
88%
1%
Agricultural Operations 0.50%
Industrial Operation 0,30%
Other Oparations 0,03%
Unknown 0.17%
I.* POBTf [ i:
'N«
W*¥N£
r^-JM
CnNS"?*
MON»Uf
i-iH !NGb
*050*
LAWSENCE
SWI ? i£RL.*f»D
SPEv^cr
Sh
• J
-------
Fish Kills by Size
Figure 16 B
State of Iowa—Reported Fish 9 100-1000
Kills, by Size and Percentages of * 1000-10 000
Causes—1976 + 10 000-100 000
X 100 000-1000 000
~
over 1000 000
PMG ALIO
Ht3*&
1 wrist
BUSM Wilt
fcitfki.Mihi
^ /
, Irx,, Mm tori. »I6W2 |
Unknown
44*
24
-------
Figure 17 Fish Kills by Size
State of Kansas—Reported Fish ¦ 1-100
Kills, by Size and Percentages of • 100-1000
Causes—1976 f 1000-10 000
+ 10 000-100 000
X 100 000-1000 ooo
^ aver 1000 000
© iDKitll Mi; Cwnpnr, be., Ntw I'. 1392
¦Unknown
Industrial
Operations
19%
25
-------
Fish Kills by Size
¦ 1-100
• 100-1000
~ 1000-10 000
+ 10 000-100 000
X 100 000-1000 000
^ over 1000 000
-------
Figure 19 Fish K'"s *>Y size
State of Louisiana—Reported Fish ¦ 1-100
Kills, by Size and Percentages of • ^^-lOOO
ran«sp«i 1976 A 1000—10 DOu
uauses i»/o + 100oo-l00 000
X 100 000-1000 000
^ over 1000 000
¦r\.
<|> AmaficM Ma? Campwi, Inc.
/V, ip-sb
Agricultursl
Operations
2E%
Municipal
Operatic iw
67%
27
-------
Figure 20
State of Maryland—Reported Fish 5 10O—1000
Kills, by Size and Percentages of A 1000-10 000
Causes—1976 + 10 000-100 000
X 100 000-1000 000
^ over 1000 000
ne\
•si
t> Marion bavam. I«s. ft*. I1IM2
27%
Indujiritl
Opntkm
ill
28
-------
Figure 21
State of Massachusetts—Reported
Fish Kills, by Size and Percentages
of Causes—1976
Fish Kills by Size
¦ 1-100
• 100—T000
A 1000-10 000
+ 10 000-100 000
X 100 000-1000 000
* over 1000 000
>.
/
/
V
© Amman Map CBujimr, Int., Dm lot I1S3M
( A f*
HAH ruCf-CT
Unknown
43%
Other
Operations
14%
2
-------
Figure 22 Rsh Kills by Size
State of Minnesota—Reported Fish 5 ioo—1000
Kills, by Size and Percentages of A 1000-10 000
Causes—1976 4. 10 000-100 000
X 100 000-1000 000
^ over 1000 000
if
»=>,.* ! S»>
¦£3 1>M
SCC' I CMM4
¦iTEXvt
1 'luwai
Imk. #11392
^ >
100%
30
-------
Figure 23 Fish Kills by Size
State of Mississippi—Reported Fish ! 100-1000
Kills, by Size arid Percentages of A 1000-10 000
Causes—1976 -|- io 000-100 000
X 100 000-1000 000
^ over 1000 000
iV"'
© AlMricin Mip C«np«n|, Int., Ntw Yuri. #18382
Municipal
Ops rations
10%
Industrial
Operations
90%
31
-------
Figure 24 Rsh Kills b* SizB
State of Missouri—Reported Fish 5 mn lnnn
Kills, by Size and Percentages of J 1000-10 000
Causes—1976 + 10 000-100 000
X 100 000-1000 000
^ over 1000 000
A -
Unknown
2%
12%
16%
Other
65%
32
-------
Figure 25 Fish Kills by Size
State of Montana—Reported Fish ¦ 1-100
Kills, by Size and Percentages of • 100-1000
Ca imp*—1976 * 1000-10 000
Causes 1976 + 10000_1000D0
X 100 000-1000 000
^ over 1000 000
ttW'S ANC CtAKH
© Amaricin Map Company. Inc..
Agricultural
Operations
Unknown
32%
Industrial
Operations
65*
33
-------
Figure 26 Fish Kills by Size
State of Nebraska—Reported Fish ¦ 1-100
Kills, by Size and Percentages of • 100-1000
Causes—1376 * J™2-I2n°™n
+ 10 000-100 000
X 100 000-1000 000
^ over 1000 000
T"' 'F
%
H.P
in
12%
34
-------
Figure 27
State of Nevada —Reported Fish
Kills, by Size and Percentages of
Causes—1976
Municipal
Operations
100%
Fish Kills by Size
¦ 1-100
• 100-1000
A 1000-10 000
+ 10 000-100 000
X 100 000-1000 000
^ over 1000 000
© Arahcaa Mjp Company, inc.. New fork, #10392
UD:,CL4S
WINChAL
,.IT*COtN
35
-------
figure 28
IS®?.! N®w^mpshire—Reported
Fish Kills, by Size and Percentages
of Causes—1976
98%
16
Fish Kills by Size
¦ 1-100
• 100-1000
A 1000-10 000
+ 10 000-100 000
X 100 000-1000 000
+ over 1000 000
he, Dm rqrk. 118392
-------
Figure 29
State of New Jersey—Reported
Fish Kills, by Size and Percentages
of Causes—1976
Fish Kills by Size
¦ 1-100
• 100-1000
~ 1000-10 000
+ 10 000-100 000
X 100 000-1000 000
^ over 1000 000
Unknown-
3%
Agricultural
Operations
1%
Operations
37*
Industrial
- Operations
IK
Municipal
Operations
55*
a*ss*i:
C5£tx
mUN'EBDON
XJlCSE*
UtRCffl
GLOjcrsH*
LANTlC
Transportation
Operations.
3%
© Amtricin Map CwnptfY. Inc., Naw York, #16392
37
-------
Fish Kills by Size
Igure 30 ¦ 1-100
State of New Mexico—Reported • 100-1000
M. Kills, by Si» and Phages A ^000-10 00^
)f Causes 19'o x 100 000—1000 000
~ over 1000 000
Ot S*£*
38
-------
Figure 31
State of North Carolina—Reported
Fish Kills, by Size and Percentages
of Causes—1976
Fish Kills by Size
¦ 1-100
• 100-1000
A 1000-10 000
+ 10 000-100 000
X 100 000-1000 000
^ over 1000 000
,-p.
J f ~ '
eun««K,yiD
CO-UMiV*
/ ."jncr
© Amcricin Map Coflipiny, inc., Mm* tafk. #10392
Agricultural
Operations
12*
39
-------
Fish Kills by Size
Figure 32 _ i—100
State of North Dakota—Reported q 100-1000
Fish Kills, by Size and Percentages A 1000-10 000
of Causes—1976 + 10 000-100 000
X 100 000-1000Oi
^ over 1000 00
MM MM(>
w»a
toe.* mm ToA. *1I3«
Opera torn
40
-------
Figure 33 Fish Kills by Size
State of Ohio—Reported Fish ® 1-100
Kills, by Size and Percentages of 7
f>a,ico
-------
Figure 34 Fish Kills by Size
State of Oklahoma—Reported Fish S ''~]^n
Kills, by Size and Percentages of J 1000-10 000
Causes—1976 + io 000—100 000
X 100 000-1000 000
over 1000 000
¦¦
\r
ik. m. nan:
301
42
-------
Figure 35
State of Oregon—Reported Fish
Kills, by Size and Percentages of
Causes—1976
Fish Kills by Size
*1-100
100-1000
* 1000-10 000
+ 10 000-100 000
X 100 000-1000 000
^ aver 1000 000
,
is
W*ai •> I iMf HM'f'
g*«.t f
AnmrkM Nw Cawnw^ Inc.. *»» Tort #19392
Other
Operations
Imbstriil
Opeiahons
Agricultural
Operations
13%
Unknown
23%
Trantporttiion
Qpmatiom
Municipal
Operations
54*
43
-------
Figure 36
State of Pennsylvania—Reported
Fish Kills, by Size and Percentages
of Causes—1976
Fish Kills by Size
¦ 1-100
• 100-1000
A 1000-10 000
+ 10 000-100 000
X 100 000-1000 000
^ over 1000 000
,,r
r~
1
i
L.
~
¦
\
\
\ 1 rvttm
1
T\
J J"
Inc. N» Yat. (taiU
Unknown
9%
38%
44
-------
Figure 37 Fish Kilts by Size
State of Rhode Island—Reported I 1-100
Fish Kills, by Size and Percentages • 100-1000
of Causes—1976 A 1000-10 000
+ 10 000-100 000
X 100 000-1000 000
+ over 1000 000
Amnion Mip Cangw,. Int., N«w tut 118392
11
Industrial
Operations
100%
45
-------
Figure 38
State of South Carolina—Reported
Fish Kills, by Size and Percentages
of Causes—1976
Fish Kills by Size
¦ 1-100
• 100-1000
~ 1000-10 000
+ 10 000-100 000
X 100 000-1000 000
^ over 1000 000
© Wn M* Cji*ui|. Int. Ntw Tort. (11392
\
smuto*
Unknown on
1%
46
-------
Fish Kills by Size
Figure 39 ^ 1-100
State of Texas—Reported Fish 9 100-1000
Kills, by Size and Percentages of A 1000-10 000
Causes—1976 + 10 000-100 000
X 100 000-1000 OOfl
~ over 1000 000
(tj AmtMCin Mtp Company, Inc., New Ywi. <10382
—i:
Unknown
93%
47
-------
Figure 40
State of Utah—Reported Fish
Kills, by Size and Percentages of
Causes—1976
Fish Kills by Size
¦ 1-100
• 100-1000
~ 1000-10 000
+ 10 000-100 000
X 100 000-1000 000
^ over 1000 000
tttPEte cftiwoft
« MtOFf
-------
Figure 41 Fish Kills by Size
State of Virginia—Reported Fish J mn innn
Kills, by Size and Percentages of • 100D..0°0Q
Causes 1976 _j_ -| q dDO — 100 000
X 100 000-1000 000
^ over 1000 000
/ ;n K
../ • \Z;CU .J
' -
r x
1 "T"1 " '
. I—. — J -Uklii,
American Map Company, inc.. New York, #13392 '
Transportation
Operations
41%
49
-------
Figure 42
State of Washington—Reported
Fish Kills, by Size and Percentages
of Causes—1976
Fish Kills by Size
¦ 1-100
• 100-1000
~ 1000-10 000
+ 10 000-100 000
X 100 000-1000 000
^ over 1000 000
Pi ni
Uftf-SUI
I
MASrt
ifr. 1MB
eeysiAi
uriiW
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fe komni
© towkm mm Cmvmv. few. Mm* Yat. #18392
Oilier
Qpfrratiora
94*
50
-------
Figure 43 Pish Kills by Size
State of West Virginia—Reported ¦ 1-100
Fish Kills, by Size and Percentaqes ® 100-1000
nf rsuJi—1Q7R * 1000-10 000
of Causes 19/6 + 1QQO0-100 000
X 100 000-1000 000
+ over 1000 000
fi
/»•¦1
<§) AmwioM Map Company, trau New York, #18382
r*
/'i*
¦¦V.
Municipal
Operations
Industrial
Operations
72*
51
-------
_ A. Fish Kills by Size
Figure 44 *
State of Wisconsin—Reported Fish 5 100—1000
Kills, by Size and Percentages of A 1000-10 000
Causes—1976 + 10 000-100 000
X 100 000-1000 000
^ over 1000 000
Inc., Nn> rut. «1U12
Unknown
20*
52
-------
Figure 45
State of Wyoming — Reported Fish
Kills, by Size and Percentages of
Causes—1976
Fish Kills by Size
¦ 1-100
• 100-1000
A 1000-10 000
+ 10 000-100 000
X 100 000-1000 000
^ over 1000 000
& Aamc«i Mtp Ciion, Inc.. Kn» York. *18387
— Other
Operations
Unknown
99%
53
-------
Appendices
Appendix A
Introduction
Appendix A lists the 601 reported fish
kills for which the pollution-source was
specified in 1976, The fish kill reports
generally contain the following
information: the name of the state and
community where the kill occurred; the
date, the cause; the type offish killed,
the percent of game and non-game fish
killed; the percent of the kill with
commerical value, the estimated fish
killed, the severity of the kill, the
estimated miles (river) or acres (lakes)
affected and the duration of the kill.
Appendix B lists the 66 individual fish
kills with pollution source not specified.
Kills from natural causes are not
included.
Appendix C lists the State agencies
actively participating in the fish kill
reporting program. Observers are
encouraged to report any sightings of
dead fish to their appropriate state
agency. Since, if the cause is not readily
apparent, time is important to an
investigation, reports should be
submitted as soon as possible,
preferably by telephone to the local
offices of the agency (game wardens, for
example). If no local office is present,
reports can be mailed to the agency at
the addresses shown.
Appendix D is a reproduction of the
report form showing information desired.
It is recognized that the casual observer
cannot normally provide much of the
information; however, the location, the
estimates of the number of dead fish and
tissue and date of the observation are
extremely important. Also important is
the probable source of pollution where it
can be identified.
Appendix E defines pollution sources by
the type of operation involved.
-------
Report of Fish Kills, 1976—Cause Identified
Body of water
City or town
Date
Cause"
see
code
page 54
Type of fish killed
Percent
kill with
commercial
value
Estimated
fish killed
Severity7
see code
page 54
Estimated
miles or
acres
affected3
page 54
Duration
Percent
game
Percent
non-
game
Days
Hrs
Alabama
BearCr, and Res,
Sear Creek
7 06 76
28
20
80
79
37,619
1
37M
09
—
Limestone Bay
Decatur
9 06 76
11
30
70
60
3,314
3
2M
—
—
State Hatchery
Eastaboga
8 28 76
11
100
_
109,632
1
3A
07
—
Broglan Cr.
Huntsville
7 29 76
42
22
78
_
1,763
2
1M
01
—
Pond
Huntsville
9 01 76
11
15
85
—
3,456
2
8A
03
—
Industrial Ca,
Mobile
7 31 76
31
—
100
4
206,210
1
1M
01
06
Mud Cr.
Scortsboro
9 11 76
11
75
25
—
2,203
2
—
-
—
Arizona
Irrigation Canal
Yuma
3 19 76
12
30
70
—
3,666
2
1M
—
—
Arkansas
Saline R.
Benton
7 15 76
24
—
—
—
—
—
—
—
—
Spadra Cr.
Clarksville
3 23 76
24
40
60
25
19,326
1
4M
—
—
McKinney, Cr.
Franklin Co.
11 09 76
42
—
—
—
178,551
2
13M
—
_
Caney Cr.
Hope
7 12 76
22
40
60
—
—
1
14M
21
—
Mountain Fork R.
Mena
11 02 76
23
—
—
—
7,500
2
18M
—
—
California
Anderson Cr.
Anderson
1 29 76
23
25
75
—
1,000
2
2M
01
—
Aquatic Park La.
Berkeley
4 26 76
24
—
100
_
1,000
2
—
—
—
Diversiom Ditch
Bishop
1 13 76
50
25
75
—
50
4
1M
—
—
C-05 Canal
Blythe
10 16 76
11
50
50
—
3,000
2
3M
—
—
Canal D-08
Blythe
1 15 76
11
100
—
—
75
3
—
—
—
Sky Ranch La.
Corona
6 — 77
50
55
45
—
220
1
1A
01
—
Cottonwood Cr.
Cottonwood
7 20 76
50
8
92
—
160,000
1
43M
14
—
Colony Ca,
Dos Palos
10 02 76
11
50
50
—
3,100
2
6M
01 "
—
Sacramento R.
Dunsmuir
4 12 76
41
100
—
—
6,500
1
4M
04
_
Lindsay Cr.
Fieldbrook
5 17 76
33
87
13
—
3,500
1
1M
—
—
Squaw Cr.
Geyserville
5 26 76
21
100
—
—
54
2
1M
_
—
Goleta Slough
Goleta
1 23 76
50
—
100
—
20,000
2
3M
04
—
San Pedro Cr.
Goleta
3 08 76
25
1
99
—
1,700
1
2M
42
—
Laguna Cr.
Herald
5 23 76
11
95
5
—
2,550
1
1M
—
—
Verde Drain
Imperial
12 01 76
11
33
67
—
150
3
2M
—
—
Lake Niguel
Laguna
7 19 76
50
100
—
—
300
3
—
—
—
La Elsinore
Lake Elsinore
7 21 76
50
10C
—
—
350
3
—
—
—
P C Burrow Pel. #7
Lodi
B 12 76
31
100
—
—
1,175
3
15A
—
—
Drainage Canal
Lompoc
8 06 76
44
100
—
—
25
4
—
—
—
Harbor La.
Long Beach
9 12 76
50
80
20
—
100
3
3A
—
—
Malibu Cr,
Malibu
7 16 76
31
10
90
—
1,000
3
1M
—
—
Monitor Cr.
Markleeville
5 18 76
42
100
—
—
350
1
2M
02
—
Consrvation Ca.
Montague
8 02 76
11
50
50
—
1,000
3
20M
01
—
Shasta R,
Montague
5 26 76
11
100
—
—
1,000
2
1M
01
—
Napa R.
Napa
8 18 76
50
80
20
80
10,000
2
2M
—
—
Salton Sea
North Shore
8 11 76
12
1
99
—
5,000
4
1A
—
—
Canal 16
Palo Verde
10 29 76
11
50
50
—
200
3
—
—
—
Co-3 Canal
Palo Verde
10 23 76
11
50
50
—
1,000
2
—
—
—
Irrig and Spawn Ca.
Red Bluff
8 24 76
11
10
90
—
11,000
2
1M
01
—
Marine World La.
Redwood City
8 01 75
11
100
—
100
20,000
1
—
—
—
Evans Lake
Riverside
5 12 76
50
25
75
—
200
3
—
01
—
Salton Sea
Riverside
9 11 76
28
4
96
—
50,000
2
—
01
10
Budiselich Oam
Stockton
4 10 76
24
50
50
—
475
2
3M
—
07
Sugar Cut
Tracy
8 08 76
31
100
—
—
5,000
1
1M
—
—
Del Rey Lagoon
Venice
4 16 76
11
—
100
5
5,000
1
6A
11
—
Ventura R.
Ventura
1 29 76
31
11
89
—
9
4
—
—
—
Volta Channel
Volta
6 24 76
11
40
60
—
1,750
2
—
—
—
Browns Cr.
Weaverville
7 19 76
42
5
95
—
150
—
1M
01
—
Sidney Gulch
Weaverville
5 11 76
24
97
3
—
148
1
1M
02
—
Deep Water Chanl
West Sacramento
7 07 76
50
75
25
—
250
1
2M
05
—
Lake Washington
West Sacramento
9 10 76
50
1
99
—
13,650
1
10A
03
—
Pd-Yolo Rec. Area
Winters
7 01 76
11
44
56
—
700
2
1A
—
24
Tule Ca. T9N R3E
Woodland
4 2B 76
50
100
—
—
100
4
1M
—
—
55
9Qc;
.mi
-------
Report of Fish Kills, 1976—Cause Identified (Continued)
Body of water
City or town
Date
Cause'
see
code
page 54
Type of fish killed
Percent
kill with
commercial
value
Percent
game
Percent
non-
game
Colorado
West Ten MileCr
Frisco Co.
11 17 76
42
100
—
Lake Fork Cr,
Leadville
11 - 76
50
100
—
-
Connecticut
Black Rock Harbr
Bridgeport
8 17 76
31
—
100
Bridgeport Harbr
Bridgeport
6 22 76
31
—
100
—
Hockanum R.
Ellington
9 17 76
13
10
90
Lansburgs Pond
Greenwich
8 06 76
50
50
50
—
Meeting House Br,
Meriden
6 08 76
31
—
IM
Willow Brook
Meriden
6 22 76
26
—
100
Housatonic R
Milford
6 15 76
31
100
—
Spring Lake
Wallingford
8 05 76
50
20
80
Delaware
Rehoboth Bay
Angola
7 07 76
50
_
100
100
White Cr.
Millville
9 13 76
31
IM!
100
Christina Cr,
Newark
9 10 76
31
36
64
Red Clay Cr,
Yorklyn
4 23 76
31
75
25
—
Rorida
Deadend Ca.
Boca Raton
10 12 76
50
—
100
_
Pond
Danta
9 12 76
24
14
86
Amelia R.
Fernandina Bch.
7 23 76
31
im
Deadend Ca.
Fernandina Bch.
3 08 76
31
100
s
Basin-Fla. Bay
Marathon
12 15 76
28
_
100
Canal Sw. 11 and 81
N. Lauderdale
9 16 76
11
10
90
Watson Bayou
Panama City
4 19 76
31
_
100
Bayou Chico
Pensacola
6 27 76
31
100
—,.
Fanning Bayou
Southpon
10 13 76
50
20
w
60
Canal
Sunrise
10 25 76
11
—
100
Canal
Tamarac
6-76
50
100
Canal NW-4S-46WY
Tamarac
8 05 76
11
95
5
Lake
Tamarac
11 01 76
33
100
__
Lake Tutuola
Umatilla
10 21 76
22
95
6
__
Artificial Lake
West Palm Beach
10 12 76
31
10
90
—
Georgia
Armuchee Cr.
Armuchee
8 16 76
24
15
85
50
Chattahoochee R.
Atlanta
7 29 76
31
75
25
Proctor, Cr.
Atlanta
7 18 76
31
3
97
Trib-Spring Cr.
Blakely
7 28 76
11
40
60
TrN Sugar Cr.
Buckhead
11 27 76
42
100
Cedar Cr.
Cedartown
6 11 76
31
100
Cedar Cr.
Cedartown
4 24 76
41
40
60
Trib-Cedar Cr.
Cedartown
9 12 76
11
20
80
10
Gum Cr.
Curdele
8 10 76
34
Pd-W Pines Golf
Douglasville
10 15 76
33
100
_,
Pond-Terrell Co
Sasser
8 16 76
11
100
Warrior Cr
Sylvester
7 23 76
31
Chattooga R
Trion
1 22 76
28
5
85
50
Wauhatchie Br
Wildwood
8 01 76
42
13
87
Cane Cr
Woodbury
9 02 76
22
30
70
1
Idaho
Pospisol Drain
Buhl
6 19 76
11
100
Pospisol Drain
Buhl
1 28 76
11
40
60
RockCr
Hansen
6 17 76
12
67
33
...
Clear Springs Cr
Ketchum
3 30 76
11
%
12
_
RockCr
Kimberly
7 27 76
11
6
94
Bannock Jim Slou
Thornton
6 21 76
12
1
99
—
ttfinois
Baldwin Lake
Baldwin
2 16 76
28
100
Shears Pd
Chanoahon
10 04 76
31
—
100
99
Ten-Mile Cr
Clinton
9 10 76
31
1
99
Sangamon R
Decatur
7 19 76
31
20
80
33
Estimated
fish killed
Severity3
see code
page 54
Estimated
miles or
acres
affected®
page 54
4,100
704
25,000
20,000
275
200
200
300
200,000
225,000
2,952,154
23,257
500
20
1,300
200
10,000
550
3,000
242,150
350
5,895
16
500
5,000
16,000
250
200
750
5,500
75
500
200
2,000
34
1,500
6,265
678
200
5,000
150
260
17,500
2,000
1.609
1.100
14,710
17.258
5M
1M
1M
1A
IM
1M
8A
1A
4M
2M
IM
IM
1A
1M
IM
1A
8M
20A
2M
IM
IM
4A
2A
1M
15M
5M
3M
IM
3M
3M
4M
1M
1A
1A
IM
4M
IM
3M
IM
IM
IM
IM
IM
1A
1A
IM
2M
56
-------
Report of Fish Kills, 1976—Cause Identified (Continued)
Body of water
City or town
Date
Cause'
see
code
page 54
Type of fish kilted
Percent
kill with
commercial
value
Estimated
fish killed
Severity'
see code
page 54
Estimated
miles or
acres
affected3
page 54
Duration
Percent
game
Percent
non-
game
Days
Hrs
Ellyn Lake
Glen Ellyn
5 17 76
41
98
2
991
99
1
11A
31
Sangamon R
Mahomet
5 04 76
11
7
92
3
1.90C
1
1M
01
_
N FK Embarras R
Martinsvilie
4 02 76
44
46
54
90
879
4
3M
09
Saline Br Drain
Mayview
5 03 76
31
2
98
55
4,620
1
5M
01
Green La Club La
Milan
7 18 76
25
2D
80
_
3,156
i
1A
09
Queens La
New Memphis
2 12 76
44
6
94
14
170,197
1
22A
60
___
Spring Cr
Onarga
8 26 76
13
26
74
67
858
2
1M
C2
—
Crawford Cr
Ridgway
4 19 76
11
35
65
50
10,241
2
_
03
—
Middle Br
Rossville
5 05 76
11
1
99
3
29,733
3
6M
01
—
Mill Cr
Scales Mound
6 19 76
42
—
100
—
66,025
1
9M
01
Mid Ff Sugar Cr
Stanford
10 28 76
12
2
98
5
67,101
2
10M
08
_
Big Ditch
Tomlinson
9 14 76
24
10
90
3
76,149
1
5M
01
Indiana
Bear Cr
Arcadia
8 03 76
13
40
60
_
825
2
2M
03
__
Craigmile Cr
Bass Lake
7 24 76
11
10
90
—
280
4
3M
01
_
E Fk White Lick
Bridgeport
6 08 76
31
_
—
—
300
3
2M
_
—
Lt Sanfl Cr
Columbus
10 29 76
28
—
—
—
109
4
1M
—
—
N Hammond Por»d
Correct
2 15 76
13
10
90
—
100
4
2A
_
—
Christian Cr
Elkhart
2 28 76
33
68
42
—
1,623
2
1M
01
—
Ouck Cr
Elwood
9 04 76
31
16
84
_
676
3
10M
02
_
Lt Duck Cr
El wood
4 17 76
28
3
97
_
70
3
1M
03
—
Bachelor Run
Flora
7 29 76
13
55
45
_
2,263
!
6M
_
36
Bachelor flun
Flora
9 24 76
13
1
99
—
5,000
_
1M
02
—
Prairie Cr
Frankfort
9 17 76
35
21
79
—
1,409
2
2M
01
_
Greensburg Res
Greensburg
6 19 76
31
100
—
—
1,300
2
1A
01
—
Flat Pond Ditch
Haubstadt
3 02 76
13
—
—
—
—
7
3M
01
—
Lick Cr
Indianapolis
4 09 76
22
15
85
_
2,200
1
14M
04
—
W FK White R
Indianapolis
11 09 76
31
40
60
_
4,800,000
2
160M
09
—
Monon Cr
Munon
9 10 76
13
60
40
2,200
2
3M
01
—
Snow Ditch
Monticello
4 20 76
12
43
57
—
7,000
1
1M
01
—
White Lick Cr
Mooresville
11 06 76
31
20
80
_
6,300
2
3M
—
—
White R
Munese
7 28 76
31
62
38
—
8,872
2
1M
02
—
Lick Creek
Paoli
4 29 76
12
30
70
—
77
2
2M
01
—
Wabash R
Peru
6 T6 76
26
100
—
—
841
4
5M
02
—
Grassy Fk Cr
Point Isabel
9 01 76
22
9
91
—
6,221
2
3V
03
—
Broad Cr
Sharpeville
8 14 76
60
3
97
—
1,010
2
1M
02
—
Bell Cr
Sulfur Springs
5 09 76
12
100
—
—
4,054
2
1M
01
—
Jordan Cr
Terre Haute
6 05 76
24
80
20
—
624
3
10M
02
—
Cicero & Buck Cr
Tipton
8 23 76
22
48
52
—
1,176
2
2M
03
_
Fishback Cr
Whitestown
4 23 76
11
61
39
—
808
2
3M
03
—
Iowa
02
Small Cr
Aigona
7 19 76
50
—
100
_
500
1
2M
—
Long Cr
Columbus City
5 16 76
13
50
50
—
100
4
5M
—
03
Otter Cr
Elgin
5 13 76
12
2
98
—
2,500
2
1M
04
Kansas
08
Anthony City La
Anthony
3 04 76
11
100
—
100
28,000
4
135A
—
Sandy Cr
Aqumia
3 01 76
11
60
40
75
800
1
1M
10
_
Tr-Chikaskia R
Agronia
3 01 76
11
50
40
75
300
4
1M
04
—
Tr-Chikaskia R
Argon.a
3 01 76
11
50
40
70
500
2
1M
05
—
Walnut R
Augusta
1 16 76
25
9
91
30
1,250
4
20M
10
—
Fail Cr
Caldwell
3 01 76
11
60
40
70
1,000
4
4M
06
—
Farm Ponds (5)
Cloud Co
2 20 76
11
100
—
100
2,500
3
5A
—
—
Cowskin Cr
Colwich
1 01 76
31
50
50
26
2,500
1
1M
__
—
Farm Ponds (19)
Cowley Co
2 20 76
11
100
—
100
10,000
3
20A
—
—•
Spring Cr
Danviile
3 01 76
11
60
40
70
uco
3
3M
08
03
—
American Legn Pd
El Dorado
4 29 76
25
85
15
15
2.000
4
5A
—
Wet Walnut Cr
Great Bend
9 10 76
31
20
80
40
4,000
4
3M
02
—
Farm Ponds (9)
Harper Co
2 20 76
11
100
_
100
5,000
3
10A
—
—
Tri-lndependence
Lancaster
6 23 76
13
25
75
35
1,000
1
1M
OS
***¦
Three-Miie Cr
Leavenworth
8 24 76
31
35
65
90
600
2
2M
01
24
Indian Cr
Leawood
11 OS 76
31
95
5
30
250
1
2M
—
Middle Cr
Lincolnville
1 01 76
13
70
30
15
200
2
1M
20
—
Prairie Cr
Mayfieid
3 13 76
11
70
30
70
600
4
2M
14
—
57
-------
Report of Fish Kills, 1976—Cause Identified (Continued)
Body of water
City or town
Date
Cause'
see
code
page 54
Type offish killed
Percent
kill with
commercial
value
Estimated
fish killed
Severity'
see code
page 54
Estimated
miles or
acres
affected3
page 54
Duration
Percent
game
Percent
non-
game
Days
Hrs
SandCr
Newton
8 03 76
31
40
60
80
9,500
2
1M
01
¦mmm
Pottawatomie Cr
Osawatomie
11 24 76
41
15
85
40
4.100
3
1M
10
Farms Ponds (28)
Sedgwick Co
2 20 76
11
100
—
100
15,000
3
30A
,
Mutter Farm Pd
Solomon
2 21 76
11
95
5
100
500
3
—
05
Farm Ponds (32)
Sumner Co
2 20 76
11
100
—
100
17,500
3
35A
Wellington Lake
Wellington
3 01 76
11
90
10
90
10,000
4
349A
14
_
Cowskin Cr
Wichita
10 05 76
24
7
93
70
25,000
1
1M
02
GipsonCr
Wichita
10 06 76
31
20
80
20
500
3
1M
—
Kentucky
Spring Cr
Albany
9 04 76
31
10
90
—
31,512
1
2M
03
—
Chadwick Cr
Catiettsburg
4 17 76
42
6
94
—
6,001
1
4M
02
SahR
Harrodsburg
8 08 76
31
82
18
—
352
1
1M
02
Salt R
Harrodsburg
5 16 76
31
47
53
—
25,648
1
6M
16
_
Owens Br
Hazard
4 15 76
25
1
99
—
1.286
2
1M
01
_
Moneys Cr
Hyden
5 28 76
25
—
—
2M
Beargrass Cr
Louisville
7 28 76
31
_
_
—
15,623
1
1M
03
Goose Cr
Lowes
5 20 76
41
11
89
2,415
1
2M
02
_
Indian Cr
McKee
S 10 76
50
10
90
—
2,227
1
1M
02
EFkCtarksR
Murray
9 30 76
31
15
85
14,354
2
5M
04
_
Stepstone Cr
Owingsvilie
11 08 76
41
_
_
—
1
1M
01
Spewing Camp Br
Wayfand
1 06 76
21
11
89
—
14,578
1
7M
02
_
Louisiana
Bayou Manchac
Baton Rouge
9 29 76
31
1
99
1
11,000
2
5M
_
—
Jefferson Ca
Delcambre
7 01 76
43
12
8!
12
700
2
1M
01
__
Bayou Teche
Jeanerette
10 28 76
22
1
99
95
700
2
3M
64
Bayou Jack Couie
Lydia
7 23 76
11
—
—
500
_
Bayou Jacko
fc t—a — t— *» — ——
NalCrttiOCncS
10 13 76
31
50
50
50
200
3
1M
01
__
Bayou Jacko
Natchitoches
8 04 76
31
90
10
10
2,MX)
2
1M
01
_
Tribred R
Plain Dealing
7 02 76
25
75
25
50
200
2
2M
01
__
Whites Bayou
Zachary
9 04 76
11
20
80
20
2
4M
01
—
Maryland
St Martins R
Bishopvilit
9 09 76
22
—
100
100
2,000
2
50A
02
Pond
Cectlton
6 03 76
11
5
95
100
3
20A
02
Pond
Federalsburg
5 28 76
11
100
—
100
800
2
1A
02
J|M
Linganore Cr
Frederick
7 16 76
33
8
92
1,700
2
1M
02
Patapsco R
Glen Bumie
5 20 76
50
20
80
5
36
3
02
PatapscoR
Glen Bumie
5 14 76
31
_
100
200
3
20A
03
Pond
Kent Co
S 22 76
11
4
96
4
1,800
2
1A
02
Patapsco R
Sparrows Point
8 20 76
28
15
85
100
115
6
4
30A
—
PatapscoR
Sparrows Point
4 19 76
28
85
15
100
4
30A
01
_
Beaver Dam Run
Towson
4 16 76
24
2
98
—
2,300
2
2M
02
—
Massachusetts
North Pd
Hopkinton
6 29 76
50
30
70
3,500
3
234A
14
Discharge Canal
Plymouth
11 23 76
28
—
—
100
10,000
1
05
—
Minnesota
Osakis Lake
Long Prairie
11 14 76
28
100
-
—
200
4
2A
—
—
Mississippi
Tallabogue Cr
Forest
12 23 76
28
50
50
4,000
1
20M
01
Pearl R
Jackson
7 22 76
31
50
50
—
450
4
3M
06
Missouri
Cedar Cr
Boone Co
7 04 76
21
LakeofOzarks
Camdenton
7 19 76
50
—
100
52,000
2
7M
Ditch 24
Cape Girardeau
7 31 76
11
_
_
20
4
1M
Unnamed Ditch
Carthage
2 09 76
22
20
80
150
3
1M
01
_
ninkson Lr
Columbia
9 21 76
31
25
75
284
3
1M
Unnamed Pond
Columbia
2 17 76
31
100
%
1
!A
Bear Cr
Hannibal
8 11 76
31
33
67
1,496
2
1M
01
W Fk Cuivre R
Hawk Point
8 09 76
13
2
98
40
3
1M
City Reservoir
Jamespott
5 12 76
11
80
20
2,200
2
1QA
02
—
Wares Cr
Jefferson City
7 21 76
31
—
250
2
2M
01
Indian Cr
Kansas City
11 08 76
31
7
93
—
549
3
1M
—
-------
leport of Fish Kills, 1976—Cause Identified (Continued)
Body of water
City or town
Date
Cause'
see
code
page 54
Type of fish killed
Percent
kill with
commercial
value
Estimated
fish killed
Severity3
see code
page 54
Estimated
miles or
acres
affected3
page 54
Duration
Percent
game
Percent
non-
game
Days
Hrs
wal Cr
Kansas City
10 09 76
31
20
80
500
1
1M
05
_
odd Cr
Kansas City
2 10 76
28
40
60
—
22
3
3M
—
of the darks
La of the Ozark
7 13 76
50
100
_
_
200
3
ississippt R
Louisiana
10 08 76
43
_
—
_
4,500
2
—
rat Cr
Macon Co
7 06 76
31
—
—
—
1,170
—
4M
rush Cr
Polk Co
8 17 76
31
—
_
—
300
—
1M
_
reton Cr
Potosi
10 29 76
42
2
98
_
8,348
1
3M
01
at Cr
Sedalra
8 14 76
31
—
—
—
TO
3
2M
02
rush Cr
Shelbina
6 16 76
12
95
5
—
1,240
1
2M
ames R
Springfield
3 02 76
31
30
70
_
4,960
2
6M
01
—
uivre R
Troy
2 15 76
11
_
—
—
—
2
1M
01
—
rrowhesd Lake
West Plains
5 21 76
11
100
—
—
1,000
3
—
—
—
ontans
sfterson R
Cardweli
7 10 76
11
60
40
—
350
3
1M
02
_
Iver Cr
Helena
2 15 76
21
100
—
20,000
1
4M
14
—
urnt Fk
Stevensville
7 09 76
11
70
30
—
500
3
2M
02
—
ebraska
inde Farm Pond
Johnson
6 03 76
12
100
—
_
22
2
1A
—
ack Lake
McCool Junction
2 10 76
50
100
—
—
97
4
—
—
sun Park Lake
Neligh
3 18 76
12
100
-
_
360
4
!A
—
—
obrara R
Spencer
4 22 76
35
—
—
—
4
_
—
06
obrara R
Spencer
6 28 76
35
15
35
—
862
3
3M
_
06
inking Water C
Waunata
5 10 76
13
5
95
—
5,000
3
10M
—
evada
Jgewood Cr
State Line
7 29 76
32
10
90
_
—
4
1M
—
02
ew Hampshire
wheco R
Dover
6 16 76
26
_
100
60
3750
2
1M
01
_
ubbard Brook
West Thronton
7 23 76
50
40
60
—
*50
4
1M
01
—
ew Jersey
3th Farm Pd
Alexandria Twp
8 01 76
11
100
—
—
25
3
1A
02
—
jpatcong Cr
Alpha
6 23 76
42
—
100
—
100
4
1M
01
_
Hind Br Res
Bound Brook
9 08 76
33
25
75
—
10,300
2
5A
01
—
irrys Cr
Carlstadt
10 15 76
50
_
100
—
15,000
2
3M
01
_
ichecheoke Cr
Flemington
8 10 76
24
5
95
—
500
2
3M
02
—
ial La
Interlaken
4 27 76
50
10
90
—
500
3
10A
01
—
York Br
Little York
6 22 76
50
50
50
_
500
2
1M
01
_
snnsauken Cr
Maple Shade
6 16 76
31
—
100
—
900
3
1M
01
—
jfffe Br
Midland Park
4 07 76
50
5
95
—
2,500
2
3M
01
—
ikihokake Br
Mil'ord
9 23 76
50
_
'00
—
50
4
1M
—
01
ke Nescochaque
Pleasant Mite
7 16 76
31
25
75
—
17,000
2
10A
02
—
•irdes Br
Port Reading
9 21 76
24
_
100
—
200
4
1M
01
—
tinehart Br
WashingtonTwp
2 21 76
13
50
50
—
200
2
1M
01
—
jper Mt Glen La
Wesl Miiford
7 10 76
50
50
50
—
100
4
10A
02
—
imaqua Pd
Westfield
8 28 76
42
—
100
_
1,500
2
5A
01
—
!w Mexico
12M
Mesa Drain
Las Duces
6 27 76
11
1
99
—
—
1
02
—
*rth Carolina
irift Cr
Apex
11 16 76
33
78
22
—
321
1
3M
02
—
oR
Hiitavorough
6 22 76
31
70
30
—
750
1
272M
01
—
ow Cr
Lexington
4 20 76
50
25
75
—
7,500
2
50A
03
—
rearing Cr
Lexington
4 21 76
50
25
75
—
12,500
2
150A
03
—
irden Cr
Lowes Grove
3 03 76
50
90
10
—
500
2
2M
04
ke Lee
Monroe
5 16 76
11
30
70
—
2,000
2
—
03
—
to Taylors Cr
Mt Holly
2 26 76
50
—
100
—
—
1
2M
—
—
etree Cr
Swannanoa
8 24 76
24
24
76
—
—
2
5M
01
12
Mng Cr
Tafboro
7 29 76
13
40
60
—
800
2
4M
01
—
irth Dakota
roda La
Fort Clark
8 07 76
13
100
—
_
200
3
—
02
—
-------
Report of Fish Kills, 1976—Cause
Identified (Continued)
Body of water
City or town
Date
Cause1
see
code
page 54
Type offish killed
Percent
kill with
commercial
value
Estimated
fish killed
Severity1
see code
page 54
Estimated
miles or
acres
affected1
page 54
Duration
Percent
game
Percent
non-
game
Days
His
Ohio
Lt Three-Mite Cr
Adams Co
4 08 76
35
—
—
22
Ottawa R
Allen Co
6 29 76
31
—
—
419
—
—
Si* Mile Cr
Allen Co
5 05 76
26
—
—
—
575
__
—
Tr-Rattlesnake C
Allen Co
6 22 76
31
—
—
11,982
—
Mill Cr
Ashtabula Co
4 24 76
31
—
160
McOougal Br
Athens Co
8 09 76
11
—
—
—
4372
Dicks Cr
Butler Co
3 22 76
26
—
—
5
_
Four Mile Cr
Butler Co
9 13 76
31
—
.
3,746
__
Great Miami R
Butler Co
9 16 76
32
—
—
5,636
—
_
Great Miami R
Butler Co
7 22 76
32
—
—
—
1,078,047
Great Miami R
Butler Co
4 24 76
32
—
—
18,141
Great Miami R
Butler Co
11 07 76
26
—
848
—
_
Great Miami R
Butler Co
8 13 76
32
—
738
—
Great Miami R
Butler Co
10 13 76
26
_
829
... .
_
Tr-U Miami R
Clark Co
9 10 76
13
—
5,843
Shayler Run Cr
Clermont Co
5 25 76
31
—.
624
__
___
—
Stood ick Cr
Clermont Co
6 23 76
31
—
.
184
__
Todds Cr
Clinton Co
10 02 76
13
¦
2,234
_
_
Lt Mill Cr
Coshocton Co
6 03 76
21
—
516
_
Sandusky R
Crawford Co
8 28 76
31
—
—.
1,645
_
„
_
Tr-Sandusky R
Crawford Co
9 28 76
13
—
—
72,794
—~
Maumee R
Defiance Co
7 23 76
33
—
6
__
Li Ruth Cr
Fairfield Co
5 27 76
41
—
.
41,760
Poplar Cr
Fairfield Co
10 05 76
31
—
4
_
Paint Cr
Fayette Co
6 18 76
31
—
.
4,776
__
....
—
Scioto R
Franklin Co
10 01 76
31
71,225
___
_
_
Scioto R
Franklin Co
8 26 76
50
—
—
1
_
_
Birch Run
Greene Co
4 20 76
13
.
.
1
_
Old Town Cr
Greene Co
9 20 76
13
5,285
_
_
—
Shawnee Cr
Greene Co
7 30 76
50
—
_
79
_
—
Tr-CaesarCr
Greene Co
6 04 76
13
__
6
_
—
Tr-Johnson He
Guernsey Co
6 25 76
25
3
—
.
Tr-Lealherwood C
Guernsey Co
8 23 76
25
—
.
_
4,470
_
—
N Branch Cr
Hamilton Co
9 14 76
42
,
85
85
—
Blanchard R
Hancock Co
9 02 76
31
_
_
N Br Blanchard R
Hancock Co
2 14 76
44
—
—
19
___
—
—
—
Ottawa Cr
Hancock Co
2 14 76
44
19
_
S Br Oil Ditch
Hancock Co
11 11 76
42
__
1
Tr-Blanchard R
Hancock Co
8 16 76
12
—
5,864
L
_
_
Rush Cr
Hardin Co
4 20 76
12
—
7,617
_
DryCr
Henry Co
6 16 76
31
—
330
_
^ .
_
Maumee R
Henry Co
6 30 76
50
—
6
__
Tr-Dotsun Cr
Highland Co
7 30 76
13
_
860
_
—
Tr-Rocky Fk Cr
Highland Co
5 22 76
11
—
—
236
.
Doughty Cr
Holmes Co
6 06 76
22
—
__
27
—
Symmes Cr
Jackson Co
6 28 76
21
—
—
596
_
_
Lake Erie
Lake Co
10 27 76
35
—
_
150,000
_
_
Raccoon Cr
Licking Co
4 08 76
31
—
220
_
_
Tr-Ucking Cr
Licking Co
6 07 76
11
—
20
Tr-MuddyFork
Licking Co
B 17 76
13
333
65
MP.
Alexander Ditch
Lorain Co
7 27 76
50
.
—
Boston Road Cr
Lorain Co
9 03 76
31
166
_
Swan Cr
Lucas Co
8 16 76
31
.
—
427
_
Wolf Cr
Lucas Co
7 27 76
50
—
326
—
Walnut Run
Madison Co
8 28 76
41
39
__
_
Rocky R
Medina Co
8 31 76
31
.
45,354
_
—
Montezuma Cr
MeicerCo
6 06 76
32
_
27
Brush Cr
Miami Co
5 16 76
13
—
__
1
E Br Lost Cr
Miami Co
5 16 76
11
—
_
_
17,671
Great Miami R
Miami Co
12 27 76
31
18.390
—
_
_
Painter Cr
Miami Co
9 24 76
11
_
_
3,090
Great Miami R
Montgomery Co
4 19 76
31
—
300
__
....
__
Great Miami R
Montgomery Co
9 16 76
31
_
420
_
_
Twin Cr
Montgomery Co
8 09 76
13
—
18
_
—
WolfCr
Montgomery Co
11 02 76
27
—
—
9,574
_
_
—
_
Wakatumika Cr
Muskingum Co
6 12 76
31
—
—
_
26
—
—
__
_
60
-------
port of Fish Kills, 1976—Cause
Identified (Continued)
Body of water
City or town
Date
Cause*
see
code
page 54
Type of fish killed
Percent
kill with
commercial
value
Estimated
fish killed
Severity?
see code
page 54
Estimated
miles or
acres
affected3
page 54
Duration
Percent
game
Percent
non-
game
Days
Hrs
Rock Cr
Paulding Co
8 24 70
31
397
Rock Cr
Paulding Co
10 12 76
25
—
—
6
4
to R
Pickaway Co
7 16 76
31
—
__
_
20
^un
Pike Co
10 03 76
50
—
_
450
_
~keings Cr
Putnam Co
4 05 76
31
—
__
—
11.348
_
—
_
anchard R
Putnam Co
5 12 76
12
__
1,121
—
k Fk Mohican
Richland Co
5 20 76
26
—
—
__
395
—
tstone Cr
Richland Co
9 18 76
13
—
—
—
1,751
kelunge Cr
Sandusky Co
6 09 76
50
—
—
17
_
_
—
_
ugar Cr
Sandusky Co
6 19 76
24
—
_
—
88,418
—
_
_
—
irs Run Cr
Scioto Co
8 23 76
50
_
—
—
43
—
—.
—
iut Run
Trumbull Co
7 24 76
31
—
—
__
621
—
¦tut Run
Trumbull Co
11 21 76
31
—
_
—
75
—
—
"ork
Vinton Co
4 26 76
28
—
78
.
-—
rCr
Warren Co
5 01 76
11
_
_
826
—
—
rCr
Warren Co
9 16 76
31
—
—
5
—
_
rCr
Warren Co
9 13 76
31
_
—
244
—
_
—
__
Rock Cr
Warren Co
5 07 76
12
_
_
968
—
_
—
__
ear Run
Warren Co
2 13 76
26
—
_
_
8
_
—
—
—
e Cr
Wayne Co
7 21 76
42
_
_
14,228
—
__
—
ve Cr
Wayne Co
12 12 76
50
—
—
—
20
—
—
—
—
sr Cr
Wayne Co
8 24 76
50
_
2,656
_
—
_
;y Ford Cr
Wood Co
2 16 76
44
_
-
273
—
_
—
—
ssaint Cr
Wood Co
2 16 76
25
—
_
—
57
_
—
_
—
oots Cr
Wood Co
6 28 76
44
—
—
6,992
—
—
—
—
Noma
do Cr
Ardmore
12 30 76
25
_
100
—
50
4
—
—
Pond
Billings
3 04 76
11
_
—
_
500
1
1A
—
—
i Pond
Billings
3-76
11
—
—
—
2
_
—
—
i Pond
Billings
3 12 76
11
_
_
—
2
—
—
Ponds
Billings
2 20 76
11
_
_
_
2
_
—
—
i Pond
Bison
3 01 76
11
20
80
80
300
1
1A
_
—
Pond
B'oken Arrow
3 09 76
25
—
_
_
__
_
__
__
Pond
Cashion
4 08 76
11
—
100
—
100
4
—
__
_
Ponds
Claremore
1 14 76
44
100
_
too
_
1
1QA
—
k Bear Cr
Enid
5 06 76
13
20
80
50
1,543
2
4M
_
_
Pond
Enid
3 29 76
11
100
_
100
3,000
2
—
—
Pond
Garfield Co
2 27 76
11
—
—
—
2
—
Pond
Garfield Co
2 27 76
11
_
_
_
2
_
—
—
Pond
Garfield Co
2 27 76
11
—
—
_
—
2
—
—
—
Pond
Grant Co
2 27 76
11
—
_
_
—
2
_
—
teleton Cr
Hennessey
2 23 76
11
—
100
—
1,000
1
2M
—
—
Pond
Hennessey
3 08 76
11
_
—
—
—
2
1A
—
—
Pond
Hennessey
2 29 76
11
70
30
50
2,000
1
10A
—
—
Cr
Mabel
9 08 76
11
—
_
—
—
—
—
—
—
awCr
Marble City
8 09 76
24
_
—
3
1M
—
iut Cr
McClain Co
7 27 76
44
100
—
100
12
4
1M
—
—
ntain Fk R
McCurtain Co
11 02 76
23
—
_
_
—
3
—
—
—
Pond
Medford
2 27 76
11
_
—
—
2
—
—
—
Pond
Morrison
3 10 76
11
_
_
—
_
2
—
—
Pond
Morrison
3-76
11
—
—
—
—
2
—
—
—
Pond
Noble Co
3 04 76
11
50
50
50
2,400
1
3A
—
—
Pond
Noble Co
3-76
11
—
—
—
—
2
—
—
—
Pond
Noble Co
3 01 76
11
—
_
—
2
—
—
ley Farm Pond
Noble Co
3 04 76
11
20
80
20
600
1
1A
—
—
Pond
Oklahoma City
4 08 76
31
100
_
24
4
_
—
—
Cr
Osage Co
6 22 76
44
—
100
100
250
4
—
—
__
Pond
Perry
3 03 76
U
_
—
—
—
2
—
—
r Cr
Pryor
3 29 76
12
__
—
—
94
4
2M
—
—
saw Cr
Sequayah Co
8 20 76
11
—
—
—
550
3
—
—
—
61
-------
Report of Fish Kills, 1976—Cause
Identified (Continued)
Body of water
City or town
Date
Cause*
see
code
page 54
Type of fish killed
Percent
kill with
commercial
value
Estimated
fish killed
Severity'
see cod e
page 54
Estimated
miles or
acres
affected3
page 54
Duration
Percent
game
Percent
non-
game
Days
His
Deep Fork R
Sparks
7 26 76
44
—„
3
3M
_
_
Farm Pond
Tulsa
6 IS 76
50
_
—
.
_
2
__
WewokaCr
Wewoka
4 01 76
44
—
—
—
100
4
—
—
Oregon
Arch Cape Cr
Arch Cape
1 17 76
31
100
—
—
60
2
1M
02
Bear Cr
Ashland
6 02 76
42
50
50
—
1.000
2
5M
01
_
Jones Cr
Grants Pass
2 03 76
50
100
—
—
90
2
1M
14
Johnson Cr
Gresham
5 21 76
32
5
95
—
10,000
2
2M
RockCr
Heppner
5 30 76
11
25
75
—
700
1
1M
05
Umatilla R
Hermiston
7 14 76
11
25
75
4,000
2
4M
01
Meacham Cr
Meacham
7 14 76
44
95
5
—
1,850
1
1M
05
Jackson Cr
Medford
9 09 76
24
75
25
500
1
4M
12
Johnson Cr
Portland
7 23 76
22
5
95
2,000
3
__
Mount Scott Cr
Portland
9 01 76
28
50
50
10
100
4
IM
—..
12
Umpqua R
Reedsport
1 03 76
41
—
—
100
,
4
__
ClaggetCr
Salem
6 IS 76
31
—
100
—
2,000
3
1M
01
Croisan Slough
Salem
8 04 76
24
_
100
—
50
4
1M
05
Private Pond
Salem
10 12 76
11
—
100
—t
8
1
1M
01
_
S Fk Scappoose C
Scappoose
5 07 76
33
44
56
—
20,000
2
1M
04
Spoon Cr
Shedd
11 11 76
13
10
90
—
3,000
2
1M
01
Trib-WildcatCr
Vaughn
2 09 76
41
100
—
10
3
1M
—
Squaw Run
Blawnox
6 04 76
33
100
1.000
2
1M
02
Swamp Cr
Boyertown
4 26 76
25
—
100
.
2,250
3
4M
Glade Run
Cooperstown
4 22 76
28
—
100
4
_
_
Conoy Cr
Eliiabethtown
5 12 76
42
—
100
—
1,012
1
1M
BearCr
Fairview
8 09 76
50
100
—
—
20,800
3M
Spring Cr
Heshey
5 17 76
44
25
75
_
3,117
1
2M
Abrams Run
King of Prussia
9 03 76
50
25
75
2,716
2
1M
—
—
Rock Run
Lancaster
6 22 76
34
10
90
1,095
1
TM
_
Swabia Cr
Macungie
6 10 76
24
_
100
8%
2
1M
SFk Ten Mile Cr
Mather
8 14 76
21
20
80
2,399
2
3M
.
W Br Susquehanna
New Columbia
11 25 76
24
1
99
_
6,972
2
1M
01
_
Bender Run
Nisbet
9 07 76
50
—
86
4
1M
02
Big Mahoning Cr
Punxsutauney
6 10 76
31
—
—
5,000
4
3M
Neiferta Cr
Rush
12 16 76
24
25
75
—
6,800
2
1M
..
_
Wolf Cr
Shartlesvile
5 10 76
50
—
100
100
4
!M
__
Middle Spring Cr
Shippensburg
6 0B 76
50
40
0)
1,365
1
2M
02
S Br Codorus
Shrewsbury
4 14 76
31
1
99
1,822
1
2M
Slob Cabin Run
State College
8 25 76
34
5
95
1,960
2
1M
_
_
Toad Cr
Topton
5 23 76
24
100
335
4
1M
_
Redstone Cr
UniontOMV
9 14 76
31
—
100
21,016
988
1
1M
_
—
Charleston Cr
Wellsboro
4 24 76
50
—
100
1
1M
Cowanesque R
Westfield
9 02 76
50
—
1,136
2
3M
Susquehanna R
York Haven
12 04 76
35
37
63
—
4,476
3
1M
—
-
E Providence Res
East Providence
2 22 76
26
5
95
—
2
8A
07
_
South Carolina
Pond Off Sc 430
Edgefield
5 28 76
13
25
75
500
2
3A
02
Pond-Edgefield
Edgefield Co
7 10 76
50
90
10
750
1
1A
02
Pond Hwy 327
Effingham
8 24 76
11
100
—
.
250
4
1A
02
Pond Sr-38
Effingham
8 24 76
11
100
_
250
4
2A
02
Pd Off 23-MI Cr
Pendleto
3 03 76
11
10
90
_
1
03
Duncan Cr
Whitmire
9 07 76
50
21
79
2
36,916
1
3M
01
—
Texas
Cedar Cr
AngelinaCo
8-76
28
—
__
_
West Mud Cr
Angelina Co
8 22 76
31
—
_
1,000
___
_
—
Nolan Cr
Bell Co
3 08 76
31
—
__
Oyster Bayou
Chambers Co
7 16 76
28
—
—
__
__
_
_
Long Cr
Clay Co
2 19 76
31
—
_
_
550
_
_
HonteCr
Coleman Co
9 17 76
25
—
—
100
__
Taylors Bayou
Fannett
4 16 76
25
50
50
20
100
4
_
_
Firemans Parte La
Graham
5 08 76
11
60
40
10
1,000
3
4A
04
—
-------
Report of Fish Kills, 1976—Cause Identified (Continued)
Body of water
City or town
Date
Cause'
see
code
page 54
Type of fish killed
Percent
kill with
commercial
value
Estimated
fish killed
Severity2
see code
page 54
Estimated
miles or
acres
affected3
page 54
Duration
Percent
game
Percent
non-
game
Days
Hrs
razos R
Granbury
5 13 76
11
80
20
15
2
8M
lum Cr
Hamilton Co
7 12 76
13
—
—
—
29,000
—
ighland Res
Harris Co
A 28 76
11
_
—
—
3.000
—
Vhitney Cr
Hill Co
4 08 76
31
—
—
_
1,394
—
Llano R
Kimble Co
S 12 76
28
—
—
—
108
olland Cr
Navasota
3 29 76
44
10
90
2
100
4
10M
an Bernard R
Newgulf
4 07 76
21
10
90
2
100
3
02
odair Gully
Port Arthur
5 25 76
24
5
95
_
1,500
3
1M
razos R
Sommervell Co
4 04 76
11
80
20
15
—
2
11M
razos R
Sommervell Co
4 17 76
11
80
20
20
1,000
2
15M
—
—
oleto Cr
Yorktown
4 30 76
25
70
30
5
450
3
1M
04
—
tah
rice R
Price
4 22 76
50
—
—
-
—
4
3M
-
-
irginia
ig Prater Cr
Buchanan Co
6 24 76
21
—
—
—
1,000
2
3M
—
—
ranberry Cr
Carroll Co
7 09 76
50
—
—
—
2,820
3
2M
01
—
ig Rocky Run
Centreville
3 24 76
42
77
23
—
930
2
2M
04
—
urricane Fork
Dante
6 21 76
21
50
50
—
30
3
—
_
_
rooks Br
Fairfax
5 22 76
11
50
50
—
24
4
2M
04
—
edar Cr
Frederick Co
7 28 76
21
50
50
_
400
4
3M
01
azel Run
Fredericksburg
5 12 76
24
2
98
—
3,740
3
2M
01
—
appahannock R
Fredericksburg
8 19 76
44
—
100
—
4
4
1M
_
tiesnut Cr
Galax
8 26 76
22
—
—
—
12,673
2
5M
—
—
r-Hot Springs R
Hot Springs
6 13 76
50
—
100
—
3,500
2
3M
_
awksbill Cr
Luray
S 23 76
50
—
—
—
500
—
—
—
—
r-Bu 11 Run
Prince William
4 17 76
42
100
—
—
12
4
1M
__
—
eak Cr
Pulaski Co
4 13 76
33
—
—
—
—
2
4M
—
_
oanoke R
Roanoke
6 03 76
24
4
96
—
31,490
2
11M
—
—
ngland Run
Stafford
8 08 76
42
—
100
—
300
4
3M
01
_
Fk Goose Cr
Villamont
8 18 76
42
—
—
—
38,000
2
5M
—
reat Run
Warrenton
8 26 76
31
1
99
—
363
3
10M
01
—
Washington
remerton Harbor
Bremerton
12 30 76
50
100
—
—
—
2
—
01
—
Woodland Cr
Lacey
2 16 76
23
75
25
—
—
3
2M
01
—
nnamed Cr
Poulsbo
12 30 76
28
—
—
—
—
4
1M
01
_
i/illapa R
Raymond
8 11 76
50
50
60
—
30,000
2
4M
03
—
ake Tapps
Sumner
2 23 76
35
5
95
—
—
3
—
02
—
Vest Virginia
iney Cr
Beckley
10 13 76
21
80
20
—
1,931
2
11M
03
—
ightmile Cr
Siount
6 10 76
24
—
100
—
600
1
1M
01
—
andlick Br
Brunny
12 27 76
25
1
99
—
500
—
2M
—
—
wo-Mile Cr
Charleston
9 05 76
21
5
95
—
2,100
1
2M
03
—
Ik Cr
Clarksburg
9 08 76
50
2
98
—
1,092
2
2M
01
—
ygari Valley R
Elkins
6 14 76
31
25
75
—
2,000
2
3M
02
—
ig Horse Cr
Julian
8 03 76
42
5
95
—
6,000
1
1M
02
—
ove Cr
Kiahsville
6 10 76
50
2
98
—
364
3
1M
01
—
yles Fk
Mannington
3 05 76
21
20
80
—
332
2
3M
01
—
oils Run
Mrgantown
1 03 76
21
10
90
—
1,550
—
2M
02
—
tillwell Cr
Parkersburg
3 07 76
25
—
100
—
625
3
1M
01
—
lid Run-W Fork R
Weson
8 24 76
25
3
97
—
358
2
1M
01
—
Huff Cr
Wyoming Co
8 13 76
21
5
95
—
16,244
2
1M
02
—
Wisconsin
uncan Cr
Chippewa Falls
8 02 76
33
5
95
—
1,050
2
1M
—
01
oods Cr
Franksville
9 09 76
22
—
100
—
50
2
1M
02
—
emadji R
Superior
6 15 76
31
100
—
—
500
2
1M
03
—
Wyoming
2M
02
Goose Cr
Sheridan
7 20 76
50
2
98
4
63
-------
APPENDIX B
-------
Report of Fish Kills, 1976—Cause Not Specifically Identified
Body of water
City or town
Date
Type of fish killed
Percent
kill with
commercial
value
Estimated
miles or
acres
affected''
page 64
Du ratton
Percent
game
Pereen:
non-
game
Estimated
fish kilted
Seventy'
see code
page 64
Days
Hrs,
Alabama
Bottle Cr
Brooklyn
9 15 76
9
91
1
14,027
3
3M
_
_
N E. and W. Fowl R.
Mobile
10 13 76
_
—
100
31,600
3
4M
30
—
East Fowl R.
Mobile
9 23 76
_
—
100
27,220
2
M
_
_
Campbell Cr.
Remlap
6 30 76
75
25
_
1,420
1
3M
—
—
Arkansas
Stream
Homnoke
9 24 76
10
90
20
—
4
1M
—
—
Canny Cr.
Pine Bluff
5 10 76
60
40
_
3,100
—
2M
_
—
California
Canai 18
Blythe
11 01 76
—
100
—
120
3
—
Canai J—03
Blythe
1 06 76
100
—
_
25
4
_
_
—
Dahlia Canal
Brawiev
7 06 76
20
80
_
40
4
1M
__
—
Upper Finny La.
Brawley
2 02 76
1
99
—
3,000
2
_
_
—
Saltan Sea.
Calapatria
4 21 76
100
—
—
500
3
1A
1
—
Pyramid La,
Casta ic
7 14 76
100
—
_
100
4
—
—
Sacramento R.
Colusa
9 06 76
100
—
—
26
—
—
Galirdo Cr.
Concord
1 14 76
10
30
—
340
4
2M .
__
Dead Man Gulch
Gait
6 04 70
92
8
_
400
2
2M
7
—
Butte Cr.
Gridley
6 11 76
25
75
_
1,700
2
1M
1
_
Sec. 25 R1WT17N
Gridley
5 22 76
TOO
—
—
25
3
1M
—
6
Dahlia Canal
Imperial Co.
9 0! 76
95
5
—
—
2
_
—
—
Novato Cr.
Marin
6 16 76
'00
—
100
1,000
2
3M
_
—
Matinez Marina
Martinez
6 25 76
100
—
_
300
2
—
1
—
Pd, on loud Ranch
Mecca
12 14 76
103
—
—
400
1
1A
2
—
Putah Cr.
Napa
5 02 76
100
_
-
1,200
2
—
—
—
Napa R.
Napa
8 19 76
5
95
—
20C
2
1M
2
—
Lateral S Drain
Niland
6 19 76
5
95
_
175
2
3M
_
Del Paso Slough
N. Sacramento
5 19 76
_
100
—
75
—
—
__
—
Salton Sea
North Shore
5 14 76
99
—
6,000
4
—
1
5
Salton Sea
North Shore
5 13 76
99
—
5,000
4
—
1
6
Salton Sea
North Shore
6 07 76
—
100
—
25,000
3
—
—
—
Lake Merritt
Oakland
5 16 76
50
50
10
2,000
2
_
—
—
Hansen Dam
Pacoima
2 04 76
40
60
_
12,000
2
853A
14
—
Grayson Cr.
Pleasant Hill
10 18 76
100
—
100
3,030
2
3M
—
—
Lake Evans
Riverside
7 21 76
100
_
—
230
3
—
—
—
Pond-Wm. Land Pk.
Sacramento
9 13 76
—
10D
_
750
2
1A
—
—
Port of Stockton
San Joaquin
9 30 76
100
—
—
3,000
2
—
—
—
Smith Ca.
Stockton
9 30 76
100
_
—
11,000
1
1M
—
Belvedere Lagoon
Tiburon
6 07 76
20
80
20
2,000
2
—
--
—
Papermili Cr.
Tomales
11 16 76
100
—
100
30
2
1M
—
—
Harbor Lake
Torrance
6 01 76
10
90
—
150
4
—
—
—
Pond
Ventura
12 14 76
—
100
—
17
4
—
—
—
Candlewooc CC Pd.
Whittier
12 01 76
__
100
—
250
3
—
—
—
Salton Sea
Wister
11 28 76
—
100
—
250
4
—
—
—
2 Drain
Wister
9 23 76
50
50
—
200
4
—
—
—
Connecticut
Rooster R.
Bridgeport
7 29 76
—
100
—
50
—
1M
—
W, Br. Salmon Br.
Granby
7 10 76
10
90
—
_
2
1M
3
Hop Brook
Manchester
7 16 76
1
99
_
300
1
1M
—
Long Swamp Brook
Middlebury
3 31 76
100
—
—
30
2
m
—
—
Fulling Mill Br,
Nsugatuck
3 27 76
100
—
—
30
2
1M
—
—
West R.
New Haven
6 08 76
—
100
—
300
—
1M
__
NorwaikR.
Norwalk
8 24 76
50
50
—
30
3
1M
—
—
Turners Pond
Stamford
5 06 76
_
100
—
100
4
1A
2
—
Steele Brook
Waterbury
7 14 76
—
—
—
—
4
—
—
*-
Oyster R.
West Haven
2 20 76
—
100
—
500
1
1M
—
Audley Pond
Westport
7 18 76
—
100
—
200
2
1A
—
Delaware
Trap Pond
Laurel
4 17 76
19
81
—
459
3
17A
1
—
65
-------
Report of Fish Kills, 1976—Cause Not Specifically Identified (Continued)
Body of water
City or town
Date
Type of fish killed
Percent
kill with
commercial
value
Estimated
fitfi killed
Severity'
see code
page 64
Estimated
miles or
acres
affected-
page 64
Duration
Percent
game
Percent
non-
game
Days
Hrs,
Florida
Spring La.
Altamonte Sprng
9 16 76
100
_
—
35
4
4SA
2
—
Aliens Cr.
Clearwater
9 30 76
10
90
50
4
1
M
_
Eco Grande Golf
Hollywood
9 16 76
—
100
—
250
—
4
3
Joes Cr
St. Petersburg
7 18 76
60
40
—
500
3
1M
Jackson Cr.
Sebfing
6 07 76
91
9
—
679
2
1M
—
—
Georgia
Utile Cr.
Alamo
9 09 76
59
41
_
207
3
1M
Nancy Cr.
Atlanta
9 15 76
58
42
—
24,708
1
12M
3
Peachtree Cr.
Atlanta
7 13 76
5
95
—
350
3
3M
1
Black Cr.
Brooklet
8 03 76
10
90
—
158
4
1M
Bull Cr.
Columbus
4 13 76
15
85
1
1M
3
Williams Lake
Cortfele
8 CM 76
1
99
—
8,500
4
3A
24
Big Haynes Cr,
Milstead
7 14 76
—
100
—
20
4
2M
Caney Cr.
Newnan
8 15 76
83
17
—
104
4
—
-
Hawaii
Ala Wai Drain Ca.
Honolulu
9 22 76
100
—
100
250
4
1M
1
Kapalama Dr. Ca.
Honolulu
7 23 76
30
70
30
1,500
3
1M
1
_
Drainage Ca.
Honolulu
4 24 76
10
90
10
1,330
2
1M
2
—
Ida ho
Little Canyon Cr.
Nei Perce
5 08 76
2
98
—
—
1
1M
—
IHnois
Trib-Fox R.
Algonquin
5 25 76
33
67
44
252
2
2V
__
16
Stony Cr.
Danville
4 20 76
27
73
13
3,491
1
2V
1
KickapooCr.
Downs
7 09 76
6
94
29
10,775
1
4M
2
ClearCr
Paris
7 03 76
2
98
2
19,817
2
3M
1
Nippersink Cr,
Solon Mills
8 23 76
66
34
11
10,909
2
7M
3
_
Sugar Cr.
Springfield
5 25 76
40
60
60
9.887
2
3M
2
—
Indians
Lt. Laughery Cr.
Batesville
5 17 76
50
50
6
3
1M
2
Turkey Cr.
Mllford
6 17 76
3
97
190
3
1M
1
White River
Munde
8 14 76
—
4,784
2
Cicero Cr.
Tipton
10 07 76
40
60
—
339
4
1M
1
—
Iowa
Iowa R,
Bdora
7 22 76
5
95
_
2,500
2
6M
3
Kansas
Fall River
Neodesha
7 26 76
10
90
40
2,000
3
6M
6
—
Kentucky
Indian Cr
Cynthiana
6 17 76
—
—
—
500
3
1M
2
Lt. Sexton Cr
Manchester
8 09 76
3
97
—
4,286
1
1M
1
_
Panther Cr
Owensboro
9 24 76
—
—
1,000
2
SM
3
Chaplin R
Perryville
6 18 76
_
—
—
1,000
2
1M
Road Run
Springfield
3 26 76
—
—
2,000
2
3M
—
Beech Fk
Springfield
8 16 76
—
—
—
4,280
1
1M
—
Maryland
Potomac R
Seneca
9 08 76
—
100
—
10,000
3
SM
—
-
Massachusetts
Sandwich Cr
Sandwich
8 01 76
—
100
—
10,000
2
2M
1
6
Missouri
H. Letsinger Lake
Ava
6 17 76
100
—
300
3
4A
. .
Big Piney R.
Cabool
4 01 76
50
50
179
2
1M
_
Charrette Cr.
Warren Co,
8 09 76
—
—
—
750
1M
—
-
Madison R.
Ennis
7 03 76
%
10
10,000
2
3M
3
66
-------
Report of Fish Kills, 1976—Cause Not Specifically Identified (Continued)
Body of water
Type of fish killed
Percent
kill with
commercial
value
Estimated
fish killed
Severity1
see code
page 64
Estimated
mties or
acres
affected'
page 64
Duration
City ortswn
Date
Percent
game
Percent
non~
game
Days
Mrs.
Nebraska
Indiana Cr,
Beatrice
6 21 76
90
1C
280
2
1M
—
Prochaska Pond
Palmer
8 30 76
100
-
525
2
2A
-
_
New Hampshire
Coeheco P.
Rochester
6 24 76
_
10C
—
2
3M
1
_
New Jersey
Sunset La.
Brirfgewater Tvyp
6 19 76
5
95
—
500
3
2A
3
Raman R.
Edison
4 30 76
_
100
_
500
4
1M
Whippany R.
Morristown
6 15 76
5
95
—
500
2
1M
-
Ohio
Auglara R,
Auglaize Co.
9 20 76
—
_
291
—
—
_
Sterling Run,
Brown Co.
9 09 76
—
_
—
18
__
_
_
—
Great Miami R.
Butler Co.
12 28 76
_
_
—
9
_
_
Pipe Cr.
Erie Co,
5 18 78
_
2
_
__
—
Tiffin R,
Fulton Co.
7 25 76
—
—
—
33
—
_
—
Blanchard R.
Hancock Co.
11 20 76
_
—
19
—
—
_
Black R,
Lorain Co.
6 10 7$
_
_
90
_
_
—
OeerCr.
Madison Co.
5 19 76
—
—
5
—
__
—
_
Black R.
Medina Co.
6 04 76
—
_
_
35
—
_
—
—
BlierCofer Ditch
Mercer Co.
11 17 76
_
_
12
_
_
Ottawa R.
Putnam Co.
11 21 76
—
_
166
__
Bear Run.
Richland Co.
4 19 76
—
—
104
_
—
_
Jackson Ditch
ShsibyCo.
9 15 76
_
_
—
19
—
_
—
_
Mid, Fk. Sugar Cr,
Stark Co.
6 17 76
_
_
—
101
_
_
_
Bull Cr.
Wood Co.
8 09 76
—
_
_
9
_
—
_
Rocky Ford Cr.
Wood Co.
7 08 76
—
—
—
7,623
—
—
—
Spring Bun.
Wyandot Co.
9 23 76
_
—
—
12
__
—
—
Sandusky R.
Wyandot Co.
5 10 76
—
—
—
47
—
—
—
—
Oklahoma
Deep Red Cr.
Cookietown
8 13 76
20
80
70
276
3
1M
_
Duncan La.
Duncan
9 23 76
_
—
_
—
4
—
_
—
Farm Pond
Oklahoma City
4 03 76
100
50
30
4
_
—
Pryer Cr.
Pryor
9 20 76
10
90
50
5,000
—
—
—
—
Oregon
Johnson Cr.
3ortlanc
7 19 76
13
90
—
2,500
1
m
—
Johnson Cr.
Portland
8 06 76
10
90
_
10,000
2
3M
_
8
Johnson Cr.
Portland
2 19 76
1
99
_
1.200
3
IV
—
Pennsylvania
Jordan Cr.
Ailentown
12 05 76
10
30
—
3,263
1
3M
_
—
Jordan Cr,
Allentowrt
12 17 76
5
95
_
705
3
2M
__
—
Tr-Lt. Conemaugh.
Cassandra
5 31 76
100
—
—
14
3
1M
_
—
Trib-OtterCr.
Fredonia
4 16 76
_
100
—
125
3
_
—
—
Whiteiy Cr,
Greene Co.
6 04 76
_
100
_
43
4
1M
—
—
E. Br, Red Clay Cr,
Kennett Square
5 G7 76
_
100
—
611
1M
—
__
Reeds Dam
Sykesviile
11 - 76
100
_
—
151
4
5A
—
_
Oil Cr.
Titusville
7 06 76
10
9D
—
4,000
2
6M
—
5
Valley Cr.
Tredyfrin Twp
2 19 75
100
_
—
54
2
1M
—
—
South Carolina
Sanders Branch
Hampton
8 27 76
50
53
—
300
2
m
—
—
Texas
Turtle Bayou
Chambers Co
7 13 76
_
—
—
600
—
—
_
—
Mavasota R
Leon Co
B 16 76
—
_
_
600
_
—
—
_
Late
Llano.
5 06 76
80
20
2
550
3
1A
_
24
Tres Palacios Ba,
Matagorda Co.
9 — 75
_
—
—
509,750
—
_
—
—
"aney Cr
Maud
4 12 76
BO
23
10
550
4
5M
_
—
; Christi Bay
Nueces Co.
8 17 76
—
__
—
—
—
_
—¦
_
3 Heights Marsh
Orange Co.
8 02 76
—
—
—
550
—
—
__
—
9aio Pinto Cr
Palo Pinto Co.
8 02 76
—
—
550
—
_
_
__
Dnion Cr
Trav:s Co.
9 25 76
—
—
_
600
—
—
_
—
67
-------
Report of Fish Kills, 1976—Cause Not Specifically Identified (Continued)
Body of water
City or town
Date
Type of fish killed
Percent
kill with
commercial
value
Estimated
fish killed
Severity1
see code
page 64
Estimated
miles or
acres
affected'
page 64
Duration
Percent
game
Percent
non-
game
Days
Hrs
Waller Cr
Travis Co.
1 OS 76
—
—
—
100
_
Upper Keechi Cr
Trinity Co.
8 04 76
_
_
—
500
_
_
_
Trinity R
Walker Co.
4 03 76
—
—
—
1,000
—
—
—
_
Washington
Mason La
Shelton
11 29 76
100
—
—
—
4
—
3
Steilacoom La
Steilacoom
6 09 76
_
100
_
1,000
2
210A
3
_
Holmes Harbor
Whidbey Island
10 25 76
25
75
—
1,000
3
3A
1
_
Wide Hollow Cr
Yakima
2 15 76
—
100
_
—
4
1M
1
—
Wisconsin
Big Rock Cr
St. Crouc Falls
6 20 76
100
—
—
400
1
1M
—
Wyoming
Meadowlark Lake
Ten Sleep
8 08 76
100
—
-
800
4
182A
17
-
68
-------
Alabama Department of Conservation
Game and Fish Division
Fisheries Section
64 North Union Street
Montgomery, Alabama 36104
Water Improvement Commission
Surveillance and Monitoring Section
749 State Office Building
Montgomery, Alabama 36104
Department of Fish and Game
Habitat Protection Section
Subport Building
Juneau, Alaska 99801
Arizona Game and Fish Department
2222 West Greenway Road
Phoenix, Arizona 85023
Arkansas Game and Fish Commission
Fisheries Division
Little Rock, Arkansas 72201
California Department of Fish and Game
Environmental Services Branch
1416 Ninth Street
Sacramento, California 94814
Department of Natural Resources
Division of Wildlife
6060 Broadway
Denver, Colorado 80216
Connecticut Board of Fisheries and Game
Fish and Water Life Unit
Department of Environmental Protection
State Office Building
Hartford, Connecticut 06115
Department of Natural Resources and
Environmental Control
Division of Fish and Wildlife
Fisheries Section
Dover, Delaware 19901
Florida Department of Environmental
Regulation
2562 Executive Center Circle, East
Montgomery Building
Tallahassee, Florida 32301
Georgia Game and Fish Commission
Trinity-Washington Street Building
270 Washington Street, S.W.
Atlanta, Georgia 30334
Division of Fish and Game
1179 Punchbowl Street
Honolulu, Hawaii 96813
Idaho Fish and Game Department
Bureau of Fisheries
P.O. Box 25
Boise, Idaho 83707
-------
Illinois Department of Conservation
Division of Fisheries
605 State Office Building
400 South Spring Street
Springfield, Illinois 62706
Indiana State Board of Health
Division of Water Pollution Control
Water Quality and Standards Branch
1330 West Michigan Street
Indianapolis, Indiana 46206
Iowa State Conservation Commission
300 4th Street
Des Moines, Iowa 50319
Kansas Forestry, Fish and Game
Commission
P.O. Box 1028
Pratt, Kansas 67124
Department of Fish and Wildlife
Resources
Capital Plaza Tower
Frankfort, Kentucky 40601
Louisiana Stream Control Commission
Drawer F.C., University Station
Baton Rouge, Louisiana 70803
Fish and Game Department
State Office Building
Augusta, Maine 04330
Maryland Department of Water
Resources
State Office Building
Annapolis, Maryland 21401
Massachusetts Department of Natural
Resources
Division of Marine Fisheries
State Office Building
Government Center
100 Cambridge Street
Boston, Massachusetts 02202
Massachusetts Division of Fisheries and
Game
Field Headquarters
Westboro, Massachusetts 01581
Water Resources Commission
Department of Natural Resources
Stevens T. Mason Building
Lansing, Michigan 48926
Minnesota Department of Natural
Resources
Division of Fish and Wildlife
390 Centennial Building
St. Paul, Minnesota 55155
Mississippi Air and Water Pollution
Control Commission
P.O. Box 827
Jackson, Mississippi 39205
Missouri Department of Conservation
1110 College Avenue
Columbia, Missouri 65201
Missouri Department of Conservation
Division of Fisheries
P.O. Box 180
Jefferson City, Missouri 65101
Department of Fish and Game
Room 134, Cogswell Building
Helena, Montana 59601
Nebraska Game and Parks Commission
2200 North 33rd Street
Lincoln, Nebraska 68503
Nevada Department of Fish and Game
P.O. Box 10678
Reno, Nevada 89510
New Hampshire Water Supply and
Pollution Control Commission
P.O. Box 95
Concord, New Hampshire 03301
Division of Fish, Game and Shellfisheries
Bureau of Fisheries Laboratory
Lebanon, New Jersey 08833
New Mexico Department of Game and
Fish
State Capitol
Santa Fe, New Mexico 87501
Department of Environmental
Conservation
Albany, New York 12201
North Carolina Department of Water and
Air Resources
Box 27048
Raleigh, North Carolina 27611
North Dakota Game and Fish Department
Fisheries Division
103% South Third Street
Bismarck, North Dakota 58501
Ohio Department of Natural Resources
Division of Wildlife
Fountain Square
Columbus, Ohio 43224
Oklahoma Department of Wildlife
Conservation
Fisheries Division
1801 North Lincoln Boulevard
Oklahoma City, Oklahoma 73105
Fish and Wildlife Commission
307 State Office Building
Portland, Oregon 97201
Pennsylvania Fish Commission
P.O. Box 1673
Harrisburg, Pennsylvania 17120
Rhode Island Department of Natural
Resources
Division of Fish and Wildlife
83 Park Street
Providence, Rhode Island 02903
South Carolina Wildlife and Marine
Resources Department
Division of Game
P.O. Box 167
Columbia, South Carolina 29202
South Dakota Department of Game, Fish
and Parks
Division of Game and Fish
State Office Building #1
Pierre, South Dakota 57501
Tennessee Game and Fish Commission
Doctors Building, Room 600
Nashville, Tennessee 37203
Texas Parks and Wildlife Department
Fish and Wildlife Division
John H. Reagan Building
Austin, Texas 78701
Utah Department of Natural Resources
Division of Fish and Game
1596 West North Temple
Salt Lake City, Utah 84116
Vermont Fish and Game Department
Research and Management Center
Roxbury, Vermont 05659
Virginia State Water Control Board
Bureau of Enforcement
P.O. Box 11143
Richmond, Virginia 23230
Washington State Department of Ecology
P.O. Box 829
Ofympia, Washington 98501
West Virginia Department of Natural
Resources
Division of Wildlife Resources
Charleston, West Virginia 25305
Wisconsin Department of Natural
Resources
Bureau of Standards arid Surveys
Box 450
Madison, Wisconsin 53701
Department of Natural Resources
Bureau of Water Quality
Box 450
Madison, Wisconsin 53701
Wyoming Game and Fish Department
Box 712
Lander, Wyoming 82520
-------
Sample Form
m
r/-K-4
U.S. ENVIRONMENTAL PROTECTION AGENCY
OFFICE OF rt A I £fi PLANNING AND STANDARDS
WASHINGTON DC 20460
REPORT OF POLLUTION-CAUSED FISH KILL
Form Approved 0Mfl ,\o. } 5#- ROO 36
FOR QWP USE ONLY
1A. LOCATION (Stream^ Lakr, Qretvt, etc; L Hi s tude-L'iriiiitufte}
2, DATE OF KILL
C- STATE
3- TYPE OF WATER
r ! F" H £ St< r" SALT ESTLARr
«- POLLUTION SOURCE-TYPE OF OPERATION
A, AGRICULTURAL OPER-
ATIONS
P] POSSO^ fp#at!cid&s, mtci
| ' FERTILI 2EH5
j | MANURE ERAtNAGE, LH$t-
l_"1 LASE UQUORS. Oft FEES
LOT OPERATIONS
[ 5 MAHCL1NG 0 - ECJMIPMEXT
AWD COMTfciNEftS
S, INDUSTRIAL OPERATIONS
[_j MINING METALS
"2.) CHEMICALS "'PETROLEUM
! ~{ FGGC AND KIN- ' : PfcPCU ANO ALLl ED
—J DH ED PB0DLCT5 PH0 0LCT5
TEKTH.ES " " ; RuSBER AMD PLASTfCS
3TN£R:
C. MUNICIPAL OPERA
TiONS
1 SEWERAGE SYSTEM
; REFUSE DISPOSAL
Qj WATER SYSTEM
| ] SWfMMiaS POOL
-.Z P0*ER (Public 5«rWc*,
' j PEST COHTRQL
D. TRANSPORTATION OPERATIONS
! ( RAIL rj T«UCK 1 BAPSE OR
r^c.PE- n «:r
—' UNS
E CONSTRUCTION OR OTHER
fjj COMS^^UCTiOM
OTHER
F.
[]n jhKNOWh
0. SPECIFIC POLLUTANT or factqr changing water characteristics
fIVame of chgmtcm, ihomsal discharge, esc,>
5- TYP£ OF PISH KILL
tc'kl
commercial
5- EST, NO, KILLED
7. SEVERITY
TQTAL ~ ' HEAVY "" ] WO Q. ~~"n SHT
B.EXTENT Qf AREA AFFECTED 9* DURATION OF CRJTC AL EFFEC
*- MiLES Of
S T S E AM
S- ACRES Of
LArfC
1$. ADDITIONAL REMARKS f Include eitrr.t.-: on ofne« f/mri marine /tfp, e.g., xhc-tKmh, waferfo *¦?, erc^
51, REPORTING OFFICIAL
12. AGENCY MAlLlWu ADDRESS
U. DATE OF
R£fCRT
EPA Fofr» 7500-4HR* *• 7-75) previous coit m* y de used un th» so pp t_ v
-------
Appendix E
Sources of
Pollution by
Type of Operation
Fish kills may be caused by pollution
from a large number and variety of
sources. To facilitate reporting of kills,
these pollution sources have been
categorized according to the types of
operations (municipal, industrial, etc.)
producing the pollution. Following are
definitions of each operation to include
breakdowns into subcategories.
Agricultural Operations
Pollution from agricultural operations
results primarily from wastewater runoff
from fields where various chemical
compounds are used for pest control and
fertilizers. Runoff from feedlot operations
are also included under this category. In
addition, a probable cause of pollution
lies in the handling of various pesticides
or fertilizers, the cleaning of equipment
used to disperse these chemicals, and
the handling and disposal of the
containers.
• Poisons (Pesticides, Etc.)
Poisons include any of the "cides" used
at the site of agricultural operations,
which may be introduced into a water
body through a runoff after a rain or
through settling from the air.
• Fertilizers
This subcategory applies to commercial
fertilizers after they have been delivered
for use.
• Manure Drainage, Ensilage Liquors, or
Feed Lot Operations
In addition to the operations named in
this heading, this subcategory includes
other agricultural operations which may
be a source of pollution through poor
housekeeping practices.
• Handling of Equipment and Containers
This subcategory includes washing of
equipment, handling and storage of
pesticide or fertilizer compounds before
use, and container disposal.
Construction, or Other
• Construction operations such as the
building of highways, dams, industrial
complexes and other structures in or
near waterways, are a frequent source of
pollution.
The following are examples of the
"other" category.
• Large residential or custodial facilities
not connected to municipal sewers but
having their own system, for example,
Federal, State, and church institutions,
custodial institutions such as old folks
homes, universities, etc.
• Domestic service operations in
suburban or rural areas resulting in
direct discharges such as spent-
drycleaning solutions and wash and rinse
water from coin laundries and dry
cleaners, and spent floor and paint
cleaners.
• Highway restaurants, motels, resort
areas, and auto service areas which may
or may not have their own treatment
plant.
Industrial Operations
Industrial operations involve
manufacturing or processing industrial
and commercial products.
• Mining
Pollution from mining operations is most
often caused by acid mine drainage from
coal mines. In addition, coal washings
and taconite tailing disposal are included
here as well as side products from all
other mining operations, including
mining for ore, limestone, phosphate,
etc.
• Chemicals
This subcategory includes manufacture
of the following:
Basic chemicals such as acids, alkalies,
salts, and organic chemicals;
Chemical products to be used in further
manufacture such as synthetic fibers,
plastic materials, dry colors, and
pigments; and,
Finished chemical products for ultimate
consumption (cosmetics, drugs and
soaps); or to be used as materials or
supplies in other industries (paints,
fertilizers, and explosives).
-------
Food and Kindred Products
lese operations include those involved
preparing and processing fresh and
iw food items and other related
'oducts for the market. Examples
elude
ugar refining;
arming, dehydrating, freezing, or curing
f fruits, vegetables, or fish and other
Jafood;
rain processing into flour, cereal
'oducts, etc.;
laughtering or meat packing;
ressing poultry;
ny milk-handling operation including
airy farm, cheese factory, condensery,
eamery, or ice cream plant;
reweries, wineries, or distilleries
perations;
endering plants or vegetable oil
tanufacture; and,
nimal feed manufacture.
Textiles
extile production covers all milltype
perations. including bleaching and
yeing processes
Metals
lis subcategory includes all operations
volving metals and plating (except
iningl, such as blast furnaces, smelting,
lling mills, pickling, heat treatment, etc.
jmmon sources of wastes are metal
ganmg solutions and plating vats which
intain large amounts of acid, cyanide,
ipper, iron, chrome and arsenic, alt of
hich are specific causes of fish kills.
addition, coke ovens and inefficient
arifier tanks in steel mills add toxic
lemicals and turbidity to waste water.
Petroleum
stroleum covers oil or gas well drilling,
I refining, and the manufacture of any
itroleum products.
Paper and Allied Products
iper and allied products covers paper-
aking in any of its stages, including
sultant sludge deposits in streams or
kes.
• Rubber and Plastics
This subcategory includes manufacture
from natural, synthetic, or reclaimed
rubber. It also includes manufacturing
involved in molding primary plastics for
trade, and miscellaneous finished plastic
products.
• Other industrial
"Other" applies to those industries not
specifically designated. The following are
examples of potential entries under this
item.
Lumber and wood products production
including logging, chemical treatment,
and sawmill operations through the
finished product;
Leather and leather products processing
and production;
Sand and gravel washing; and.
Automobile manufacturing.
Municipal Operations
Municipal operations are those activities
that are the responsibility of the
municipality in providing public utilities
and other services.
• Sewerage System
Includes municipal sanitary and storm
sewers and combined sewers. The
wastes may be treated or untreated
before they enter or leave the municipal
system.
• Refuse Disposal
Refuse disposal concerns dumps, land fill
projects, etc., used for disposal of solid
wastes. The prime cause of fish kills
from these sources is drainage from
these areas, and deposits of ash from
incinerators into surface water bodies.
• Water System
Fish kills charged to water system
include kills caused by excessive use of
chemicals for pipe cleaning and for
algae, weed and insect control in
reservoirs. A common source of kills
from this source is high chlorine
solutions drained from new pipe lines,
storage tanks, reservoirs, and pump
stations, which arc used to sterilize new
water supply facilities.
• Swimming Pools
Fish kills charged to swimming pool
operations generally result from cleaning
operations or use of excessive chlorine.
This subcategory applies if pool drainage
is not connected to the city sewer
system, regardless of who owns or
operates the pool,
• Power (Public Service)
Power generation considered here is the
production of power intended for
consumption by the general public,
versus power generation necessary to
operate a manufacturing plant, Thermal
pollution is of prime concern, although
wastewaters such as that from boiler
blowdown sometimes cause fish kills,
most often during low flows,
• Pest Control
This subcategory of operations includes
spraying of ponds, creeks, marshes, or
use of other various methods of insect
control when the poisons used are
deposited directly into a waterway, as
opposed to being conveyed to the
waterway via a municipal sewer system.
Transportation Operations
The major source of pollution from these
operations is accidental spillage into
waterways of products in transit
regardless of source, destination, or
ultimate use.
• Rail
Fish kills charged to this subcategory are
caused by accidental product spills,
whether due to a wreck or by handling in
yards. Waste discharge from railyard
operations also applies here.
« Pipeline
Pipeline means those lines used to
transport liquids or gases for long
distances.
• Truck
A fish kill charged to this subcategory
most often results from a wreck, leakage
or careless handling in transit and at
terminals.
73
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• Air
This subcategory includes operation of
airports, which are frequent producers of
oily wastes and highly alkaline aircraft
washrack drainage, as well as aircraft
operations. It also includes aircraft
crashes which should be considered in
the same light as accidents involving
trains, trucks, boats, etc.
• Barge or Boat
Barge or boat operations may result in
pollution through spillage of products
resulting from bilge discharges, fire,
collision, sinking, or mishandling the
products while in transit. Transit, in this
case, includes transfer to or from the
vessel while docked.
Unknown
The unknown category fs applied to a
fish kill when the pollution source
operation cannot be determined or
surmised, and the investigator is
reasonably sure that the kill was due to
pollution.
¦:> U S GOVERNMENT PRINTING OFFIC& 1919 O-M8-302
74
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MONITORING AND DATA SUPPORT DIVISION lWH-5531
OFFICE OF WATER PLANNING AND STANDARDS
WASHINGTON DC 20460
OFFICIAL BUSINESS
AN EQUAL opportunity employer
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materials ot 1 change of address -5 need© J llnrtrafr-
change including ZIP code J
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WiRONMENTAv PROTECTION AGERtCn
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