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IEPA ATTACHMENT NO.
United States
Environmental Protection
Agency
Office of Water
?
EPA440/5-84-002
Regulations and Standards
?
January 1986
Criteria and Standards Division
Washington, DC 20460
Water
a
EPA?
Ambient
Water Quality
Criteria for
Bacteria - 1986

 
Click here for
DISCLAIMER
Document starts on next page

 
3acteriological Ambient Water Quality Criteria
for Marine and Fresh Recreational Waters
U.S. Environmental Protection Agency
Office of Research and Development Office of Water Regulations
Microbiology and Toxicology Div.
?
and
Standards
Cincinnati, Ohio
?
Criteria and Standards Div.
Washington, D.C.

 
CONTENTS
Page
Foreword
?
ii i
Acknowledgements
?
iv
Introduction
?
1
St.idy Design
?
3
?
Data Base for Marine and Fresh Water
?
4
?
Basis of Criteria for Marine and Fresh Water ? 5 ?
Recommendation on Bacterial Criteria Monitoring
? 7 ?
Development of Recommended
Criteria Based on
E. coli
and enterococci ?
8
?
Limitations and
Extrapolations of Criteria
?
10
?
Relationship With the Criteria Contained In Quality
Criteria
for
Water ?
10
?
Tables
?
12-15
?
National Criteria
?
16
?
References
?
17
?
i

 
DISCLAIMER
This report has been reviewed by the Criteria and Standards
Division, Office
of
Water Regulations and Standards, U.S. Environ-
mental Protection Agency, and approved for publication. Mention
of trade names or commercial products does not constitute endorse-
ment or recommendation for use.
AVAILABILITY NOTICE
This document is available to
the public through
the National
Technical Information
Service (NTIS), 5285 Port Royal Road,
Springfield, VA 22161. NTIS Access Number is PB 86-158045.
ii

 
FOREWORD
Section 304(a)(1) of the Clean Water Act of 1977 (P.L. 95-217)
requires the Administrator of the Environmental Protection Agency
to
publish criteria for water quality accurately reflecting the
latest scientific knowledge on the kind and extent of all identi-
fiable effects on health and welfare which may be expected from
the presence of pollutants in any body of water, including ground
water. This document is a revision of proposed criteria based
upon a consideration of comments received fr_m other Federal
agencies, State agencies, special interest groups, and indiviud3l
scientists. The criteria contained in this document supple7ents
previously published EPA bacteriological criteria in Quality
Criteria for Water (1976).
The term "water quality criteria" is used in twee sections
of the Clean Water Act, section 304(a)(1) and Section 303(c)(2).
The term has a different program impact in each section. In
section 304, the term represents a non-regulatory, scientific
assessment of ecological and public health effects. The criteria
presented
in
this publication are such scientific assessments.
Water quality criteria associated with specific ambient water
uses when adopted as State water quality standards under section
303 become enforceable maximum acceptable levels of a pollutant
in ambient waters. The water quality criteria adopted in the
State water quality standards could have the same numerical
limits as the criteria developed under section 304. However, in
many situations States may want to adjust water quality criteria
developed under section 304 to reflect local environmental condi-
tions and human exposure patterns before incorporation into water
quality standards. It is not until their adoption as part of the
State water quality standards that the criteria become regulatory.
The bacteriological water quality criteria recommended in
this document are based on an estimate of bacterial indicator
counts and gastrointestinal illness rates that are currently
being accepted, albeit unknowingly in many instances, by the
States. Wherever bacteriological indicator counts can consistently
be calculated to give illness rates lower than the general
estimate,
or when the State desires a lower illness rate, indicator bacteria
levels comensurate with the lower rate should be maintained in
State
water quality standards.
Guidelines to assist the States in modification of criteria
presented in this document, in the development of water quality
standards, and in other water-related programs of this Agency,
have been developed by EPA.
artieLfri
/64(11*—
Director
Criteria and Standards
Division

 
ACKNOWLEDGEMENTS
Alfred P. Dufour
(research-author)
Health
Effects Research
Laboratory
Cincinnati, OH
Theadore H. Ericksen
(review)
HERL'
Cincinnati, OH
Richard K. Ballantine
(author)
OWRS - Washington, D.C.
Victor
J.
Cabelli
(research)
Health Effects Research
Laboratory
West Kingston, RI
Miriam Goldberg
(statistical
assistance)
OWRS
Washington,
D.C.
William E. Fox
(coordinator)
OWRS - Washington, D.C.
iv

 
BACTERIOLOGICAL AMBIENT WATER QUALITY CRIT-ERZA
FOR
MARINE AND FRESH RECREATIONAL WATERS
Introduction
Federal water quality criteria recanmendations were first proposed
in 1968 by the National Technical Advisory Committee (NTAC) of the
Department of the Interior (1). Tne microbiological criterion suggested
by the NTAC for bathing waters was based on a series of studies conducted
during the late 1940's and early 1950's, by the United States Public
Health Service, the results of which were 'summarized by Stevenson in 1353
(2). I've studies were conducted at bathing beaches located on Lake Michi-
gan at Chicago, Illinois; on the Ohio River at Dayton, Kentucky;
and on
Long Island Sound at Mamaroneck and
New
Rochelle, New York. All of the
studies followed a similar design. No beaches
with
different water
quality were selected at each location except at the Clayton location
where a beach with high quality water could not be found. A large public
swimming pool was used as a substitute. Each location was chosen because,
in addition to beaches having suitable water quality, there was a large
residential population 'nearby that used the
beaches.
Cooperating families
used a calendar system which allowed than to record their swimming activity
and illnesses on a daily basis for the entire summer. Gastrointestinal,
respiratory, and other symptoms such as skin irritations. were recorded.
The water quality was measured on a routine basis
using total
conform
bacteria as the indicator organise.
The results of the Lake Michigan beach study indicated that there
was no excess illnesses of any type in swimmers at beaches that had
median coliform densities of 91 and 180 per
100 ml over a swimming season
when compared to the number of illnesses in the total study population..
The water quality similarity at the two Chicago beaches
was unexpected
since previous experience had indicated that there was a difference in
water quality at the beaches. A second method of analysis compared the
illness observed in the week following three days of high
coliform
density
with that observed following swimming on three days of low coliform
density. The analyses showed that there was a significantly greater
illness rate in individuals who swan on the three days when the geometric
mean coliform density was 2300/100
ml
when compered
to the illness in
swimmers who swam on the three days.
hen the geometric
mean coliform
density was 43 per 100 ml.
A difference
was not
observed when the
geo-
metric mean coliform density per 100 ml on high
and
low
days
was
732 and
32 respectively. Data
from
the
Chio
River study indicated that swimmers
who swan in
water
with a median coliform density of 2300 conforms per
100
ml had
an excess
of gastrointestinal illness when compared to an
expected rate calculated from the
total study population. No
other
associations between swimming and
illness
were observed.
The results of
two marine bathing beach
studies showed no
association
between illness
and swimming in
water
containing 398 and 815
conforms
per
100
ml.
The coliform
water quality index used during the USPHS
epidemiologi-
cal studies was translated into
a
fecal
conform
index
in the mid-'60s
by
using the ratio of fecal coliforms
to
coliforms at
the
location on the
Chio River where
the
original study had been conducted
in
1949. The
NTAC
canmittee suggested that the change was necessary because fecal coliforms

 
were more fecal specific and less subject to variation than total
coli-
forms which were
greatly influenced by storm water runoff. About 18% of
the coliforms
were
found to be
fecal coliforms and
this proportion was
used to
determine that the equivalent of
2300 coliforms
per 100 ml, the
density at which a statistically significant swimming-associated gastro-
intestinal illness was observed, was about 400 fecal conforms per 100
ml. The
grAC
suggested that a detectable risk was undesirable and,
therefore, one-half of the density at which a health risk occurred, 200
fecal conforms per 100 ml, was proposed. The NTAC also suggested that
the use of the water should not cause a detectable health effect more
than 10% of the
time. Thus, the recommended criterion for recreational
waters
was as follows:
"Fecal conforms should be used
as
the indicator organism.
for evaluating
the microbiological
suitability of recreation
waters. As determined by multiple-tube fermentation or mem-
brane filter procedures and based on a minimum of not less than
five samples taken over not more than a 30-day period, the •
fecal
coliform content of primary contact recreation waters
shall not
exceed a
log mean of 200/100
ml,
nor shall more than
10 percent of total
samples
during any 30-day period exceed
400/100 ml."
This criterion was recommended
again in
1976 by the
USEPA (3), even
though it
had been
criticized on a number of issues. Henderson (4)
published one of the earliest critiques of the reammended criterion. He
noted the paucity of epidemiological data
in support of any numerical
ceilings based on fecal
indicators and criticized the one proposed
as to
the poor quality of the data base, the derivation of the specific limits
and the indicator system used.
Moore (5) objected to the selection of only part of the data from
the Lake Michigan study to develop the 200 fecal conforms
per
100 ml
recreational water criterion. He
observed
that opposite findings in the
Lake Michigan studies
were ignored. He
pointed out that the inclusion of
all illnesses reported during the week after a
bathing
episode
made the
association of these
ailments with
the bathing episode tenuous, and that
there was no way of
knowing whether
the incidence of skin irritations in
bathers who swan on
clean days
was compared to the frequency of diarrhea
in those who swam
on other
days, because all the illnesses reported were
lumped
together.
Cabelli et al. (6) suggested other weaknesses in the USPES study
design which
TigErhave
precluded the identification of swimming-associ-
ated, pollution-related
illnesses
if, in
fact, they occurred. They
pointed out that
"swimming" was poorly
defined and that it was unknown
whether or not study
participants who said
they had been swimming actually
immersed their bodies, much less their heads, in the water. This short-
caming and the use of the calendar method for recording "swimming" epi-
sodes and illnesses also was criticized as precluding the inclusion of
beachgoing but
nonswiming
control groups in
the
studies.
Moreover,
the
use of the
calendar
approach with
nearby residents and the day-to-day

 
- 3 -
variability in the pollution levels at the beaches increases the probabi-
lity of a given individual's exposure to different levels of pollution
during the incubation period of the illness.
The deficiencies in the study design and
in the
data used to
establish the 200 fecal coliforms per 100 ml criterion were noted by
the National Academy
of Science - National Academy of Engineers Cannittee
in their 1972 report which stated that they could not recommend a
recreational water quality criterion because of the paucity of epidemi-
logical inforrnation available (7).
The fecal col iform indicator used to measure water quality under the
current system has also been faulted because of the non-fecal sources of.
at least one member of the fecal col ifonn group. For example, thenno-
tolerant
Klebsiella
species have many sources. They have been Observed
in pulp and paper mill effluents (8,9), textile processing plant effluents
(10), cotton mill wastewaters (11), and sugar beet wastes (12), in the
absence of fecal contamination.
The Environmental Protection Agency, in 1972, initiated a series of
studies at marine and fresh water bathing beaches which were designed to
correct the perceived deficiencies of the Public Health
Service
studies.
One goal of the EPA studies was to determine if swimming in
sewage-
contaminated water carries a health risk for bathers; and, if so, to what
type of illness. If a quantitative relationship between water quality
and health risk was obtained, two additional goals were to determine
which bacterial indicator is best correlated to swirmning-associated
health effects and if the relationship is strong enough
to provide a
criterion.
Study Design
The marine studies were conducted at bathing beaches in
New York
City, New
York, Boston, Massachusetts,
and at Lake Pontchartrain, near
New Orleans, Louisiana.
TWo
beaches were selected at each site, one that
received very little or no contamination and the other
whose water quali-
ty was barely acceptable with respect
tr,
local recreational water quality
standards. In the
New York
City and Boston Harbor studies, the "barely
acceptable"
beaches
were ccntmminated
with pollution from multiple point-
sources, usually treated effluents that had been disinfected.
The freshwater studies were conducted on Lake Erie at Erie,
Pennsylvania and on Keystone Lake outside
of Itilsa, Oklahoma. The "barely
acceptable"
beaches
at both sites were contaminated by effluents dis-
charged from single point-souroes.
The epidemiological surveys were carried
out on weekend days and
individuals who swan in the midweeks before
and after a survey were
eliminated from the study. This maximized the study populations; allowed
the
water quality measurements for a
single day to
be specifically as-
sociated with the corresponding illness rates, and permitted the grouping
of days with similar water quality levels and their corresponding study
populations. The design of the epidemiological survey portion of the

 
study has been described elsewhere (13,14).
Specific
steps taken to
correct the deficiencies of earlier studies were noted earlier.
In the initial phases of the overall study, multiple indicators of
water quality were used to monitor the water. This was done because it
was not known which indicator of water quality might show a quantitative
relationshi
p
with swimming-associated health effects. This unique ap-
proach resulted in the selection of the best indicator based on the
strength of the statistical relationship
between the water quality indica-
tor
and a swiming-associated health effect.
Each participant was querried at length about any illness symptoms,
their date of onset and the duration of the symptams. The symptoms were
grouped into four general categories, gastrointestinal, respiratory, eye,
ear and nose, and "other". Gastrointestinal symptoms included vomiting,
diarrhea, stomachache and nausea. Sore throat, bad cough and chest colds
comprised the respiratory symptoms, and runny or stuffy nose, earache or
runny ears and red,
itchy or watery eyes were considered symptomatic of
eye, ear or nose problems. Other symptoms included fever greater than
1000
F,
headache for more than a few hours or backache.
All of the symptoms were self-diagnosed and therefore subject to
variable
interpretation. The
potential for misinterpretation was mini-
mized by creating a new symptan category called highly credible gastro-
intestinal symptoms. This symptom category was defined as including any
one of the following unmistakable or combinations of symptans: (1)
vomiting, (2) diarrhea with fever or a disabling
condition (remained
ham, remained in bed or
sought medical advice because of the symptoms)
and (3) stomachache or nausea accampanied by a fever.
Individuals in
this symptom category were considered to have acute gastroenteritis.
Data Base for Marine and Fresh Water Criteria
The results of the marine Bathing Beach Studies have been reported by
Cabelli (15) and those of the freshwater studies have been described by
Dufour (16). In general, those symptom categories unrelated to gastro-
enteritis usually
did
rot show a significant excess of illnesses at
either of the paired beaches at each study location. Moreover, the
significant swimming-associated rates for gastroenteritis were always
observed at the more polluted of the paired beaches at each study loca-
tion.
Table 1 shows the number of occasions when significant winning-
associated gastroenteritis was observed at barely acceptable and rela-
tively unpolluted marine and fresh water
beaches. Statistically signifi-
cant
swimming-associated
gastroenteritis rates
were rot observed at any
of the
relatively
unpolluted beaches. The occurrence of a statistically
significant excess of swimming-associated
gastroenteritis in
swimmers who
bathed at beaches that
were,
by selection, more polluted is indicative
that there is an increased risk
of illness
fran swimming
in
water oontami-
nated with treated sewage, i.e., both swimming-associated and pollution-
related. This finding, which was observed at both marine and fresh water
locations was important because it placed in proper perspective the
relationship between water contaminated with treated sewage and health
risks for swinners. This association was not very well defined
in
the

 
5
earlier USPHS studies. The only evidence that sewage-contaminated water
carried a risk for gastroenteritis in those studies was observed at the
Ohio River beach where swimmers had an excess of gastrointestinal illness
when the
median coliform density in the water was 2300 per
100
ml. This
was counter to the results found at freshwater beaches in Chicago and at
marine beaches on Long Island Sound where swirrers had no more gastro-
intestinal illness than nonswimmers even when days of "high" and "low"
coliform densities were selected. Therefore, other than the occasional
association of an outbreak of disease with swimming (17), the data from
7.abetli (15) and
Dafour (16) are the only available
evidence
linking
sewage contaminated water with a health risk for bathers.
Although the association of
illness in swiniers using bathing water
contaminated by treated sewage
is
an important aspect of the process for
developing recreational water quality criteria, it is the establishment
of a quantitative relationship between the two variables that provides a
useful relationship for regulating water quality. A part of this process
is the development of suitable methods for measuring the quality of the
water.
A comprehensive discussion of microbial water quality indicators is
beyond the scope of this document, even as the basis for the selection of
those examined in the epidemiological studies. The reader is referred
for this to
the reports of the studies (15,16)
and
to reviews on the
subject (18,19). The examination of a number of potential indicators,
including the ones most commonly used in the United States (total conforms
and fecal coliforms), was included in the studies. Furthermore, the
selection of the best indicator was based on the strength of the relation-
ship between the rate of gastroenteritis and the indicator density, as
measured with the Pearson Correlation Coefficient. This coefficient
varies between minus one and plus one.
A
value
of one indicates a
perfect relationship, that
is,
all of the paired points lie directly on
the line which defines the relationship.
A
value of zero means that
there
is
no linear relationship. A positive value indicates that the
relationship is direct, one variable increases as the other increases.
A negative value indicates the relationship
is inverse,
one variable
decreases as the other
increases.
The correlation coefficients for
gastroenteritis rates as related to the various indicators of water
quality from both
marine and
fresh bathing water are shown in Table 2.
The
data
free the three years
of the
New York
City study were ana-
lyzed in two ways. The first was by grouping trial days with similar
indicator densities from
a given swimming season
and the second was by
looking at
each entire summer.
The results from both analyses are shown
in Table 2.
Per either
type of analysis, enterocccci showed the strong-
est relationship to gastroenteritis. E.
coli was a very poor
second and
all of the other
indicators, including total ccliforms and fecal
ccai-
forms,
showed very
weak correlations
to
gastroenteritis. Enterccocci and
E. coli were used in subsequent studies including the freshwater
trials.
Fecir
-
COlifonts also
were included in subsequent
studies
because of their
status as an accepted basis for a criterion.

 
-6 -
The freshwater studies were analyzed only by sinner. The oorrela
tion coefficient for E. coli was slightly greater than
that
for entero-
cocci,
however, statistical
-analysis
indicated that the two values were
not significantly different. Fecal conforms, on the other hand, had a
correlation coefficient that was very similar to that Observed for fecal
coliforms from the marine data analyzed by summer. The freshwater stu-
dies confided the findings of the marine studies with respect to entero-
cccci and fecal coliforms in that the densities of the former in bathing
water showed strong correlation with swimming-associated gastroenteritis
rates and densities of the latter showed no correlation at all. The
similarities in the relationships of E. coli and enterococci to swimming-
associated gastroenteritis in freshwater indicate that these two indica-
tors are equally efficient for monitoring water quality in freshwater,
whereas in marine water environments only enterococci provided a good
correlation. The etiological agent for the
acute
gastroenteritis is
probably viral (20). The ultimate source of the agent is human fecal
wastes. E. coli is the most fecal specific of the coliform indicators
(21); and enterococci, another fecal indicator, better emulates the virus
than do the conforms with respect
to
survival in marine waters (22).
Basis of Criteria for Marine and Fresh Recreational Waters
Cabelli
(15) defined
a recreational water quality criterion as
a
"quantifiable relationship between the density of an indicator in the
water and the potential human health
risks involved
in the water's recre-
ational use."
Fran
such a definition, a criterion now can be
adopted
by
a regulatory agency, which establishes upper limits for densities of
indicator bacteria in
waters
that are associated with acceptable health
risks for
swimmers.
The quantitative relationships
between the rates of swimming-associ-
ated health effects and bacterial indicator
densities
were determined
using regression analysis. Linear relationships
were
estimated from data
grouped on the
basis
of summers or trials with similar indicator densi-
ties. The data for each summer were
analyzed by
pairing the geometric
mean indicator density for a summer bathing season at each beach with the
corresponding swimming-associated gastrointestinal illness rate for the
same
summer.
The swimming-associated illness
rate was determined by
subtracting the gastrointestinal illness rate in nonswimmers fran that
for swimmers.
These two variables
from multiple beach sites were used to
calculate
a regression
coefficient, y-intercept and 95% confidence inter-
vals for the
paired
data. In
the marine
studies the
total number of
points for use
in regression analysis
was
increased
by collecting trial
days with similar indicator densities fran each study location and placing
them into groups. The swimming-associated
illness rate
was determined as
before, by subtracting the nonswimmer illness rate of all the individuals
included in the grouped
trial
days from the swimmer illness rate during
these same grouped trial days. The grouping by trial days with similar
indicator densities approach was not possible with the
freshwater
data
because the variation
of
bacterial indicator densities in freshwater
samples was not large enough to allow such an adjustment to be made.

 
For the saltwater studies the results of the regression analyses of
illness rates against indicator density data was very similar using the
"by summer" or "by grouped trial days" approaches. The data grouped by
trial days will be used here because of the broader range of indicator
densities available for analysis. Table 3 shows the results of the
marine and fresh water bathing beach studies conducted from 1973 through
1982. These data were used to define the relationships between swimming-
associated gastroenteritis and bacterial indicator densities presented
below.
The methods used to enumerate the bacterial indicator densities
which showed the best relationship to swimming-associated gastroenteritis
.rates were specifically developed for the recreational water quality
studies. The membrane filter procedure for enumerating enterccocci was
developed by Levin et al. (23). Evaluation of the method using fresh and
marine water samples indicated that it detects mainly Streptococcus
faecalis and Streptococcus faecium. Although these two species were
thought to be more human spi7M7than other Streptococci, they have been
found in the intestinal tract of other warm-blooded animals such as cats,
dogs, cows, horses and sheep.
E. coli were enumerated usingthe membrane filter procedure developed'
by CuTiOur et al. (24). Evaluation of this method with marine and fresh
water samples has shown that 92 to 95% of the colonies isolated were
confirmed as E. coli.
These membrane filter methods have successfully undergone precision
and bias testing by the EPA Environmental Monitoring and
Support Laboratory.
The test methods are available in the
-
EPA Research and
revelopment report,
EPA-600/4-85/076 Test Methods for Escherichia
cola
and Enterococci in
Water
by
the Membrane F ter
Recommendations on Bacterial Criteria Monitoring
Several monitoring situations to assess bacterial
4uality
are encountered
by regulatory agencies. The situation needing the most rigorous monitoring
is
the designated
swimming
beach. Such areas are frequently lifeguard
protected, provide parking
and
other public access and are heavily used by
the public. Public beaches of this type were used by EPA in developing the
relationship described in this document.
Other
recreational
activities may involve bodies
of water which are
regulated
by individual
State water quality standards. These recreational
resources may be natural wading ponds used by children or waters where
incidental full body
,
contact occurs because of water skiing or other
similar activities.
It is EPA's judgement that the monitoring
req
uirements
for these
various recreational activities
are
different.
For
the public beaches,
more frequent sampling is
required
to
verify the
continued
safety of the
waters for swimming, and to identify
water quality
changes
which might
impair
the health
of
the public. Increasing
the
number of
samples
im-
proves the accuracy of bacterial water quality
estimates,
and also

 
improves the likelihood of correct decisions on whether to close
or leave open a beach.
waters with more casual and intermittent
swirmning use
need fewer
samples because of the reduced population at risk. Such sampling may
also be used in establishing trends in the bacterial water quality so
that the necessary improvements in the sanitary quality can be identified
before disease risks became acute.
The following compliarce protocol is one recamended by EPA for
monitoring recreational bathing waters. it is based on the assumption
that the currently accepted risk level based on the CO4 reccmmendation
has been determined
to be appropriate and that the monitoring methods,
i.e., bacterial enumeration techniques are imprecise, and envircxmlental
conditions,
such as rainfall, wind and temperature
will
vary temporally
and spatially. The variable nature of the environment, which affects
the die-off and transport of bacterial indicators, and the inherent
imprecision of bacterial enumeration methods, suggests an approach that
takes these elements into account. Noncompliance with the criterion
is signaled when the maximum
acceptable
geometric mean is exceeded or
when
any individual sample exceeds
a confidence limit, chosen accordingly
or to a level of swimming use. The mean log standard
deviation
for E.
coli densities at the nine freshwater beach sites that were studied was
about 0.4. The mean log standard deviation
for
enterococci
in freshwater
samples was also
about 0.4
and in seawater samples it was about 0.7.
These too values, 0.4 anal
0.7 will be used in calculations associated
with the proposed monitoring protocol and upper percentile values.
It
is recommended that sampling frequency be related to the intensity
of use of the water body. In areas where weekend use is substantial, -
weekly samples collected during the peak use periods are reasonable. In
less heavily used areas perhaps bi-weekly
or
monthly samples may be
adequate to decide bacterial water quality. .In general, samples should
be collected during dry weather periods to establish so-called "steady
state" conditions. Special studies may be necessary to evaluate the
effects of wet weather conditions on waters of interest especially if
sanitary surveys indicate
the area may
be subject to storm water effects.
The water samples are collected
in
sterile sampling containers
as
described in Standard Methods
for the Examination
of Water and
Wastewater
(25).
Development of Recommended Criteria
Based on
E.
coli/Enterococci
Currently EPA
is not recommending
a
change
in the stringency of its
bacterial criteria
for
recreational waters. Such
a
change does not
appear warranted until more information based on greater
experience
with
the
new
indicators can
be
accrued.
EPA and the State Agencies can then
evaluate
the impacts of
change in
terms of beach closures and other
restricted
uses. EPA recognizes that
it will take a period of at least
one triennial
review and revision
period
for States
to incorporate the
new
indicators into State Water
Quality
Standards
and
start
to accrue
experience with the new
indicators at
individual water use areas.

 
EPA's evaluation of the bacteriological data indicated that using
the
fecal ccliform indicator
group at the maximum geometric mean of 200 per
100 ml, recommended in
Quality Criteria
for Water would cause an estimated
8 illness per 1,000
swimmers
at fresh water beaches and 19 illness per
1,000 swimmers at marine beaches. These relationships are only approximate
and are based on applying ratios of the geometric means of the various
indicators from the EPA studies to the 200 per 100 ml fecal coliform
criterion. However, these are CPA's best estimates of the accepted
illness rates for areas which
apply the EPA fecal coliform criterion.
The E. coli and
enterococci
criteria presented in Table 4 were deve-
loped using these currently accepted illness rates. The eauations deve-
loped by Dufour(16) and
Cabelli(15)
were used to calculate the geometric
mean indicator densities corresponding to the accepted gastrointestinal
illness rates. These densiti.es are for steady state dry weather conditions.
The beach is in noncompliance with the criteria if the geometric mean
of
several bacterial
density samples exceeds the value listed in Table 4.
Noncompliance is also signalled by an unacceptably high value for
any single bacterial sample. The maximum acceptable bacterial density
for a single sample is set higher than that for the geometric mean, in
order to avoid unnecessary beach closings based on single samples. In
deciding whether a beach should be left open, it is the long term geometric
mean bacterial density that is of interest. Because of day-to-day fluctu-
ations around this mean, a decision based on a single sample
(or even
several samples) may be erroneous, i.e., the sample may
exceed
the recom-
mended mean criteria even though the long-term geometric mean is protective,
or may
fall below
the maximum even if this mean is in the
nonprotective
range.
To set the single sample maximum, it is necessary to specify the •
desired chance that the beach
will
be left open when the
protection is
adequate. This chance, or confidence level, was
based on Agency judgment.
For the simple decision rule considered here, a smaller confidence level
corresponds to a more stringent (i.e. lower) single sample maximum.
Conversely, a greater confidence level corresponds to less stringent
(i.e. higher) maximum values. This technique reduces the chances of
single samples inappropriately indicating violations of the recommended
criteria.
By using a control chart analogy (26) and the actual log standard
deviations fran the EPA studies, single sample maximum densities for
various confidence levels were calculated. EPA then assigned qualitative
use intensities to those confidence levels. A low confidence
level
(75%)
was assigned to
designated beach areas
because
a
high degree of caution
should be used to evaluate water quality for
heavily used areas. Lass
intensively used areas
would allow less
restrictive single sample limits.
Thus, 95% confidence might be appropriate for swimmable water in remote
areas. Table
4
summarizes the results of these. calculations. These
single sample maximum
levels should
be recalculated for
individual areas
if significant
differences
in log standard
deviations occur.

 
The levels displayed in Table 4 depend not only on the assumed
standard
deviation of log densities, but also on the chosen level of
acceptable risk. While this level was based on the historically accepted
risk, it is still arbitrary insofar as the historical risk was itself
arbitrary. A detailed protocol is available* which shows how to determine
the confidence level associated with any illness risk of interest, once a
maximum has been established for single samples.
The protocol also
indicates how the confidence level approach can be applied to multiple
sample geometric means. In Table
4, the limit for the
measured geometric
-lean is •etermined
directly from the
regression equation
relating
illnesses
to bacteriological density
, without
any "confidence level"
allowance for
random variations in the geometric mean of several
samples.
Limitations and Extrapolations of Criteria
The limitations of Water
Quality
Criteria based on swimming-associated
health effects and bacterial indicator densities have been addressed by
Cabelli(18). Briefly, the major limitations of the criteria are that the
observed relationship may not be valid if the size of the population
contributing the fecal wastes becomes too small or if epidemic conditions
are present in a community.
In
both cases the pathogen
to
indicator ratio,
which is approximately constant in a large population becomes unpredictable
and therefore, the criteria may not be reliable under these circumstances..
These two considerations point out the importance of sanitary surveys and
epidemiological surveillance as part of the monitoring
program.
The presence of these
indicators, in
rural
areas, shows
the presence
of warn blooded animal fecal pollution.
Therefore,
EPA remmmends the
application of these criteria unless sanitary and epidemiological studies
show the sources of the indicator bacteria to be non-human and that the
indicator densities are not indicative of
a
health risk to those swimming
in such
waters.
EPA is sponsoring research to study the health risk.of
nonpoint source pollution from rural areas on the safety of water for
swinzning. Definitive
evidence
from this study was not available at the
tine of preparation of this criterion, but will be incorporated into
subsequent revisions.
Relationship with the
Criterion
contained in
Quality
Criteria for Water
(QCW)
The 1976 QM
criterion
contained recommendations for both swimming
and
shellfish harvesting
waters. This criteria recommendation is intended
as
a
modification to the earlier criterion. Nothing in this criterion is
intended to
supersede
the
QCW
recommendations concerning the bacterial
quality of shellfish waters. EPA is currently co-sponsoring, with the
National Oceanic and Atmospheric
Administration,
research into the
* Procedures for Developing Com
pliance
Rules for Water Quality Protection
Criteria and Standards Divison
Office of Water Regulations and Standard
Environmental Protection Agency
401 M St., S.W.
Washington, EC
20640

 
-
application of the enterococci and E. coli indicators for assessing the
quality of shellfish harvesting waters. The rood and Drug Administration
is also reviewing the results of these studies. A change to the new
indicators may be forthcoming if the studies show a correlation between
gastrointestinal disease and the consumption of raw shellfish from waters
with defined densities of the new indicators. However, these studies
have not sufficiently progressed to justify any change at this time.
Thus, the recommendations in QCW for shellfish waters must remain unchanged.
The QCW recamendations for swthriing waters were based on Eecal
coliforms. Data submitted to EA during the public comment period snowed
that within some beaches, a correlation could be shown between E. coli
densities and fecal coliform densities. Such a site-specific correlation
is not surprising because E. coli is part of the fecal coliform group.
However, the EPA tests show that no general correlation exists across
different beaches. Therefore, EPA believes that the newly recommended
indicators are superior to
the fecal coliform group. Therefore, EPA
strongly recarmends that states begin the transition process
to
the new
indicators.
?
either E. coli or enterococci may be used for fresh
waters, only enterococci is recamtended for marine waters.

 
Table 1. Relationship Between Significant
Swinning-associated
Gastroenteritis and the
Degree
of Pollution at Marine
and Fresh Water Bathing Beaches
Beach Water Duality
Barely Acceptable
?
Relatively Unpolluted
No. Trials
?
17
?
8
`b. Trials
with
Excess Illness in
?
0
Swimmers1
% Trials with
Excess Swimmer
?
41?
0
Illness
1Difference
between swimmer and
nonswimmer illness rates during a
trial period statistically
significant
at p <0.05 level

 
IABLE 2. Correlation Coefficients for 941-ming-Associated
Gastroenteritis Rates Against Mean Indicator
Densities at Marine and Fresh Water Bathing Beaches
Type of
Water
Indicator
Correlation Coefficients
Data by?
Data by
Summers
?
Grouped Trials'
Marine2
enterococci
.75
.96
F: coli
.52
.56
Kleiiiig
lla
.32
.61
Fmterobacter/Citrobacter
.26
.64
Total Coliforms
.19
.65
C. perfrimens
.19
.01
E.
22E2gir2ZIS
.19
.59
FecAItalforms
-.01
.51
A. hydrophila
-.09
.60
V. parahemolyticus
-.20
.42
Staphylococci
-.23
.60
Fresh3
enterococci
.74
E. cols
.80
Fecal Conforms
-.08
'Groups of trials (days) with similar mean
indicator densities
during a given summer
2
Cata from trials conducted at
New
York City beaches 1973-1975
(Reference 18)
3
Data frcm Reference 19

 
TABLE
3.
Stimmary of
Mean
Indicator Density--Swiinming-Association Gastroenteritis
Rates Fran Tri(d!i ot All U.S. studies
Type of
Water
Location
Beachl Year
E. coli
Dengif
Enterococcus
Density
Number
Swimmers
Number
Illnesses
Nunber
Nonswimmers
Nnoilher
illnesses
Gastroenteritis
Rate tier 1000
Marine
N.Y.C.
RW
1973
21.8
484
30.4
197
15.2
15.2
CI
91.2
474
.46.4
167
18
28.4
1974
3.6
1391
7.6
711
4.2
3.4
7.0
951
10.5
1009
6.9
3.6
13.5
625
16.0
419
2.4
13.6
31.5
831
18.1
440
18.1*
1975
5.7
2232
8.8
935
19.3
-0.5
20.3
1896
14.8
678
7.4
7.4
154
579
34.5
191
-
34.5*
Lake
Pontchartrain
I.
1977
44
874
32
451
11.1
20.9*
224
720
31.9
456
8.8
23.1*
495
895
35.8
464
8.6
27.2*
L
1978
11.1
1230
36.6
415
14.5
22.1*
F
14.4
248
44.3
303
23.1
21.2
L
142
801
42.4
322
15.5
26.9*
Boston. Harbor
RE
1978
43
697
23
529
11
12
N
7.3
1130
33
1099
28
5
RE
12.0
222
41
376
13
28*
Fresh
Lake Erie
A
1979
23
5.2
3020
17.2
2349
14.9
2.3
B
47
13
2056
19.5
2349
14.9
4.6
Keystone Lake
E
138
38.8
3059
20.6
970
15.5
5.1
W
19
6.8
2440
20
970
15.5
0.5
Lake Erie
A
1980
137
25
2907
16.5
2944
11.7
4.8
B
236
71
2427
26.4
2944
11.7
14.7*
Keystone Lake
E
52
23
5121
13.5
1211
8.3
5.2
W
71
20
3562
11.2
1211
8.3
3.0
Lake Erie
B
1982
146
20
4374
24.9
1650
13.9
11.0*
1
4i = Rockaways, CI = Coney Island, L = Levee Beach, F =
Fbntainbleu
Beach, R
=
Revere
Beach,
N - Nahant
Beach,
A = Beach 7, B = Beach 11, E = Washington Irving Cove Beach, W = Salt Creek Cove--Keyst,)1,e Ramp luachus
*
Indicates swimmer-nonswinmer illness rate
difference significant at p = 0.05 level

 
TABLE 4
CRITERIA FOR INDICATOR FOR BACTERIOLOGICAL DENSITIES
Single Sample Maximum Allowable Density (4), (5)
Acceptable Swimming
Associated Gastro-
enteritis Rate per
1000 swimmers
Freshwater
Steady State
Geometric Mean
Indicator
Density
Designated?
Moderate Full
Beach Area?
Body. Contact
(upper 75% C.L.)
?
Recreation
(upper 82% C.L.)
Lightly used
Full Body
Contact
Recreation
(upper 90% C.L.)
Infrequently
U!;ett
Full Body
Contdct
Recreation
(upper 95% C.L.)
enter000cci
8
3
3(
1)
61
89
108
151
E. coli
8
126(2)
235
298
406
576
Marine Water
enter000cci
19
35(
3
)
104
158
276
500
Notes:
(1)
Calculated to
nearest whole number using equation:
(mean
enterococci
density) = antilogio
illness
rate/1000 people + 6.28
9.40
(2)
Calculated to nearest whole number using equation:
(mean E. ooli density) = antilogio
illness rate/1000 people + 11.74
9.40
(3)
Calculated to nearest whole number using equation:
(mean enter000cci density) = antiloglo
illness
rate/1000 people - 0.20
12.17
(4)
(log
i o
standard
deviation)
[
Single sample
limit
=
antiloglo
(loglo
indicator geometric + Factordetermined x
mean density/100 ml) from areas
under
the Normal prob-
ability curve tor
the assumed level
of probability
The appropriate
factors for the indicated one
sided
75% C.L. - .675
82% C.L. - .935
90% C.L. - 1.28
95% C.L. - 1.65
confidence
levels
are:
(5) Based on
the
observed log standard deviations during the
EPA
studies:
0.4
1.,1
freshwater
E. coli
=
fl
ei
n
7 few
remeinn wAI-Ar Oni
-
ArnMPer;?
PArh
iftri.4Aioti(In?
.111•1
1'•0-4hlitill–
it
q tirrt)

 
EPA Criteria for Bathing (F.111
Body Contact) Recreational Waters
Freshwater
Based on a statistically sufficient nunter of samples (generally not
less than 5 samples equally spaced over a 30-day period), the geometric
mean of the indicated bacterial
densities should not exceed one
or the
other of the following:(1)
E.
coli?126 per 100 ml; or
enterococci?
33 per 100 ml;
no safncle should exceed a one sided confidence Unit (C.L.) calculated
_sing the following as guidance:
designated bathing beach
?
75% C.L.
moderate use for bathing
?
82% C.L.
light use for bathing
?
90% C.L.
infrequent use for bathing
?
95% C.L.
based on a site-specific log standard deviation, or if site data are
insufficient to establish a log standard deviation, then using 0.4 as the
log standard deviation for both indicators.
Marine Water
Based on a statistically sufficient number of samples (generally not
less than 5 samples equally spaced over a 30-day period), the geometric
mean of the enterococci densities should not
exceed
35 per 100 ml;
no sample should exceed a one sided confidence limit using the following
as guidance:
designated bathing beach ?
75% C.L.
moderate use for bathing
?
82% C.L.
light use for bathing
?
90% C.L.
infrequent
use for bathing?
95% C.L.
based on a site-specific log standard deviation, or if site data are
insufficient to establish a log standard deviation, then using 0.7 as the
log standard deviation.
Note
(1) -
Only one indicator should be used. The Regulatory agency
should
select
the appropriate indicator for its conditions.

 
References
1.
\rational Technical Advisory Committee. 1968. Water Cuality Crite-
ria. Federal Water Poll. Control Adm., Deot. of the Interior,
Washing
ton, CC.
2.
Stevenson, A. H. 1953. studies of Bathing Water Quality and Health.
Am.
J.
Public Hlth. Assoc. 43:529.
3.
U.S. -Environmental Protection Agency. 1976. Cuality Criteria for
Water. U. S.
Environmental
Protection Agency, Washington,
DC.
Henderson,
I.
M. 1968. Enteric Disease Criteria for Recreaticnai
:esters.
J. San. Eng. Div.
94:1253.
5. Moore, B. 1975.
The Case Against Microbial Standards
for Bathing
Beaches.
In:
International Symposium on
Discharge of Sewage From
Sea Out falls. Ed. A. L. H. Gameson. Pergamcn Press, London. p. 103.
6.
Cabelli, V. J.,
M. A. Levin,
A. P. Dufour,
and
L.
J.
McCabe. 1975.
The Development of Criteria for Recreational Waters. In: Interna-
tional
Symposium
on Discharge of Sewage Fran Sea Cutfalls. Ed. A.
L. H. Gmneson. Pergamcn Press, London.
p.
63.
7.
Cannittee on Water Quality Criteria. 1972. National Academy of
Sciences-National Academy of Engineering. Water Quality Criteria.
U.S. Environmental Protection Agency, EPA-R3-73-033, Washington, DC.
8.
Huntley, B. E., A. C. Jones, and V.
J.
Cabelli. 1976. Klebsiella
Densities in Waters Receiving Wood Pulp Effluents. J. Water Poll.
Control
Fed. 48:1766.
9. Caplenas, N. R.,
M. S.
Kanarek,
and
A. P. Dufour. 1981. Source and
Extent of
Klebsiella ppeumoniae
in the
Paper Industry.
Appl. En-
virons Microbiol. 42:779.
10.
Dufour, A. P., and V. J. Cabelli. 1976. Characteristics of Kleb-
siella Fran Textile Finishing Plant Effluents.
J.
Water Poll.
Control Fed. 48:872.
11. Campbell, L.
M.,
G. Michaels, R. D. Klein, and I. L. Roth. 1976.
Isolation of
Klebsiella pneumoniae Fran
Lake Water. Can.
J.
Micro-
biol. 22:1762.
12. Nunez, W. J., and
A.
R. Colmer. 1968. Differentiation of
Aeratecter-
Klebeiella
Isolated from Sugar Cane. Appl. Micrcbiol. .16:875.
13.
Cabelli,?
A.
P. Dufour, M. A.
Levin,
L. J.
McCabe, and P. W.
Haberman. 1979. Relationship of Microbial Indicators to Health
Effects at Marine Bathing Beaches.
Am. J.
Public filth. 69:690.
14. Cabelli, V. J., A. P. Dufour.
L.
J.
McCabe, and M.
A.
Levin. 1982.
Swimming-Associated Gastroenteritis and Water
Quality. Am. J.
Epidenica. 115:606.
15. Cabelli, V.
J.
1983. Health Effects Criteria for Marine Recreation-
al
Waters. U.S. Environmental Protection Agency,
EPA-600/1-80-03l,
Cincinnati, OH.
-17-

 
16.
Dufour, A. P. 1984. Health Effects Criteria for Fresh Recreational
Waters. U.S. Environmental Protection Agency, Cincinnati, OH.
EPA 600/1-84-004
17. Cabelli, V. J. 1983. Water-borne Viral Infections. In: Viruses
and
Disinfection of Water and Wastewater. Eds. M. Butler, A. R.
Medlen, and R. Morris. University of Surrey, Surrey, England.
18.
Cabelli, V.
J. 1976. Indicators of Recreational Water Quality.
In: Bacterial Indicators/Health Hazards Associated
with
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W.
Hoadley and S. J. Outka. ASTM, Philadelphia, PA.
14. Cabelli, V. J. 1982. Microbial Indicator Systems for Assessing
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20. Cabelli, V.
J. 1981. Epidemiology of Enteric Viral Infections.
In: Viruses and Wastewater Treatment. Eds. M. Goddard, and M.
Butler. Pergamon Press, New York. p. 291.
21. Dufour, A. P. 1976. E.
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The Fecal Coliform. In: Bacterial
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Hoadley,
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22. Fattal, B., R. J.
Vasl,
E.
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23. Levin,
M. A.,
J. R. Fischer, and V.
J.
Cabelli.
1975. Membrane
Filter Technique for Enumeration of Enterococci in Marine Waters.
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24.
Dufcur, A. P., E. R. Strickland, and V. J. Cabelli. 1981. Membrane
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25.
American Public
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