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Environ Monit Assess (2010) 166:95–111DOI 10.1007/s10661-009-0987-5
Improving water quality through California’s CleanBeach Initiative: an assessment of 17 projects
John H. Dorsey
Received: 4 September 2008 / Accepted: 13 May 2009 / Published online: 3 June 2009© Springer Science + Business Media B.V. 2009
Abstract California’s Clean Beach Initiative(CBI) funds projects to reduce loads of fecalindicator bacteria (FIB) impacting beaches,thus providing an opportunity to judge theeffectiveness of various CBI water pollutioncontrol strategies. Seventeen initial projectswere selected for assessment to determine theireffectiveness on reducing FIB in the receivingwaters along beaches nearest to the projects.Control strategies included low-flow diversions,sterilization facilities, sewer improvements, pierbest management practices (BMPs), vegetativeswales, and enclosed beach BMPs. Assessmentswere based on statistical changes in pre- andpostproject mean densities of FIB at shorelinemonitoring stations targeted by the projects. Mostlow-flow diversions and the wetland swale projectwere effective in removing all contaminatedrunoff from beaches. UV sterilization waseffective when coupled with pretreatmentfiltration and where effluent was releasedwithin a few hundred meters of the beach toavoid FIB regrowth. Other BMPs were lesseffective because they treated only a portion ofcontaminant sources impacting their target beach.
J. H. Dorsey (B)Department of Natural Science, LoyolaMarymount University, One LMU Drive,Los Angeles, CA 90045, USAe-mail: [email protected]
These findings should be useful to other coastalstates and agencies faced with similar pollutioncontrol problems.
Keywords Water quality · Fecal indicatorbacteria · Beach pollution · BMPs
Introduction
The US Congress demonstrated that having goodwater quality at recreational beaches is a nationalpriority when they amended the Clean Water Actin 2000 by passing the Beaches Environmental As-sessment and Coastal Health (BEACH) Act. Thislegislation addressed the problem of pathogensand pathogen indicators in coastal waters by:
1. Requiring new or revised water quality stan-dards for pathogens or their indicators
2. Requiring the US Environmental ProtectionAgency (EPA) to conduct studies associatedwith pathogens and human health
3. Directing the US EPA to award grants todevelop and implement beach monitoring andassessment programs (US EPA 2006a)
To implement this Act, the US EPA works withstate and local government agencies to improvepollution control efforts, thus reducing potentialadverse health effects along the nation’s beaches
96 Environ Monit Assess (2010) 166:95–111
(US EPA 2006a). Water quality problems stem-ming from contamination by sewage and runoffcontaining pathogenic organisms increase the in-cidence of illnesses among swimmers (e.g., Cabelliet al. 1982; Haile et al. 1999) potentially leadingto extensive beach closures. Both illnesses andclosures result in economic losses (Given et al.2006). The public is keenly aware of potentialhealth risks from swimming in contaminated wa-ter and use available water quality information indetermining when and where to go to the beach,especially if they plan on swimming or surfing(Hanemann et al. 2004). For these reasons, main-taining good water quality at beaches is a primarygoal for beach and resource managers.
There can be many sources of the fecal bacteriathat cause beaches to exceed water qualitycriteria. Runoff from urbanized areas typicallyhas elevated levels of enteric organisms, especiallyas the amount of impervious area increases withurban development (Young and Thackston1999) and the potential for contamination fromaccidental spills of sewage increases. AlongCalifornia coastal areas, runoff from stormdrains and river inputs has been shown to bea significant source of fecal indicator bacteria(FIB) and associated pathogens (e.g., see Goldet al. 1990; Jiang et al. 2001; Reeves et al. 2004;Stein and Tiefenthaler 2004; Ackerman et al.2005). An epidemiological study conducted inSanta Monica Bay and proximity to storm drainscorrelated swimmer illness to FIB densities (Haileet al. 1999) and was the basis for the Californiabathing water standards. Wildlife feces, mainlyfrom birds, are another source of FIB impactingbeaches (Ricca 1998; Alderisio and DeLuca 1999;Ferguson et al. 2003; Grant et al. 2001; Surbecket al. 2006). Similarly, resuspended sedimentswith attached FIB can be washed from wetlandor estuarine areas, increasing levels of thesemicroorganisms in adjacent beach waters (e.g.,Steets and Holden 2003; Surbeck et al. 2006).Beach sediments, inoculated by FIB from varioussources, can be reservoirs for viable populationsof fecal microorganisms due to regrowth (Davieset al. 1995; Ferguson et al. 2005; Lee et al.2006; Yamahara et al. 2007). Finally, swimmersthemselves can be a source of FIB and pathogens(e.g., Makintubee et al. 1987), especially at
enclosed beaches where very young children playin the water. Given the variety of potential FIBsources, improving and maintaining good beachwater quality is a challenge for beach managers.
The Clean Beach Initiative
Shortly after the BEACH Act was adopted,California established the Clean Beach Initiative(CBI) in 2001, which dedicated grant funding tothe State’s most polluted beaches for source con-trol studies and capital projects to reduce beachfecal pollution (Gold 2005). Projects receivinggrant funding typically comprised one to severalbest management practices (BMPs) designed totreat or divert contaminated water to removeimpacts on nearby beaches. Ideally, successfulprojects would allow beaches to more consistentlymeet bathing water quality criteria, compared topreproject periods when beaches were frequentlyclosed or posted with warnings about healthrisks to swimmers. To date, approximately $55.6million has been allocated to 94 projects.
As part of the CBI program, an assessment wasperformed of 17 initial projects to determine ifthey effectively reduced densities of FIB at targetbeaches. These assessments provide opportunitiesto learn what projects successfully reduce beachpollution based on a range of strategies andgive insights into the necessary ingredientsfor success. Several of these projects, such asthose at piers or within enclosed beaches, hadmultiple BMPs. Three projects were located incentral California with the remainder in southernCalifornia (Fig. 1). Projects fell into the followingsix categories (Table 1):
Diversions In most of California, the sanitaryand storm water sewers are separate systems.Runoff entering the storm water system eventu-ally will reach the ocean from coastal watersheds,collecting pollutants along the way. Low-flow di-versions are designed to redirect runoff frombeach waters into sanitary sewers for treatmentat nearby sewage treatment facilities. They gen-erally operate during the summer months whenrainfall is limited and beach usage is the highest.Because of the relatively limited capacity of their
Environ Monit Assess (2010) 166:95–111 97
Fig. 1 Location of CBIprojects assessed in thisreport and monthlyaverage rainfall for SanFrancisco and LosAngeles Counties for theyears 1961–2000.Numbers correspond totabular entries in Table 1(source of rainfall data,http://www.weather.com;image from GoogleEarth)
AVERAGE MONTHLY RAINFALL (IN)
0.000.501.001.502.002.503.003.504.004.505.00
Jan
Feb
Mar
Apr
May
Jun Ju
lAu
gSe
pt Oct
Nov
Dec
Rai
nfa
ll (i
n) Los Angeles
Co.
San FranciscoCo.
8
10 12 13
9
15
24 20
19
21
23
26
29
28
38
40
39
100 MI
collection systems, most diversions operate onlyduring the dry season, defined by CaliforniaAB411 legislation as the period from April 1through October 31. If rainfall occurs during thisperiod, excess flows are bypassed around the sys-tem to the beach. Nearly half the projects assessedin this project were diversions, with a total of 21diversions in eight separate projects (Table 1).
Sterilization facilities These projects interceptrunoff in a waterway for disinfection using UVradiation, after which the treated effluent is dis-charged back into the drainage channel where itflows to the beach. In two of the three facilities(Moonlight Beach and Aliso Beach), the influentwas filtered prior to UV treatment.
Pier BMPs A series of BMPs were employed attwo piers in Santa Monica and Redondo Beach.BMPs focused on reducing organic wastes thatattract birds, a significant source of FIB, to wa-ters adjacent to the piers, including garbage dis-posals for fish carcasses and remains, as well asbird-proof trash cans. Other BMPs improved thecontainment of trash bins to prevent runoff andrepaired or replaced leaking sewage pipes. In ad-dition to these BMPs, an infiltration basin wasconstructed at the Redondo Pier to treat runofffrom surrounding parking areas.
Enclosed beach BMPs Enclosed beaches typi-cally have very poor water circulation, which ex-acerbates the persistence and growth of FIB in
http://www.weather.com
98 Environ Monit Assess (2010) 166:95–111
Table 1 CBI projects included in this assessment; State Water Resources Control Board project numbers correspond withnumbered locations on the map in Fig. 1
SWRCB project Grantee Project category Affected beach
8 Santa Monica Pier City of Santa Monica Pier BMPs Santa Monica State Beach9 Redondo Beach Pier City of Redondo Beach Pier BMPs Redondo Beach State Park10 Temescal Canyon City of Los Angeles Diversion Will Rodgers State Beach12 Santa Monica Canyon City of Los Angeles Diversion Will Rodgers State Beach13 Imperial Highway City of Los Angeles Diversion Dockweiler State Beach15 Avalon City of Avalon Sewer Improvement Avalon Beach19 Dana Point County of Orange Mixed BMPs Baby Beach20 Aliso Beach County of Orange Sterilization Facility Aliso Beach21 Doheny City of Dana Point Diversions (2) Doheny State Beach23 Poche Beach County of Orange Sterilization Facility Poche Beach24 Huntington Beach County of Orange Diversion Huntington State Beach26 Moonlight Beach City of Encinitas Sterilization Facility Moonlight State Beach28b Imperial Beach City of Imperial Beach Diversion Imperial Beach29 Coronado Beach City of Coronado Diversions (12) Coronado City Beach38 Pacifica City of Pacifica Vegetative Swale Linda Mar State Beach39 Pismo Beach City of Pismo Beach Sewer Improvement Pismo State Beach40 Pacific Grove City of Pacific Grove Diversion Lover’s Point Beach
beach sands and waters (Ferguson et al. 2005; Leeet al. 2006; Yamahara et al. 2007). One projectfocused on reducing FIB densities at an enclosedbeach, Baby Beach in Dana Point Harbor, using aseries of BMPs including a parking lot vegetatedswale and storm water infiltration system, bird-proof trash bins, bird exclusion netting beneath asmall fishing pier, and a low-flow diversion.
Wetland swales One wetland swale project wasimplemented in Pacifica to treat runoff from theSan Pedro Creek and two urban runoff pump sta-tions. Runoff was redirected to soak into a swaleplanted with wetland species, preventing it fromflowing into the surf zone along southern LindaMar State Beach.
Sewer improvements This category included twoprojects. A lift station at Pismo State Beachwas renovated to prevent sewage spills intoPismo Creek that had been impacting the beach.The second project, in the city of Avalon onSanta Catalina Island, involved slip-lining 3,068 m(10,065 linear ft) of sewer mains and 48 man-holes. The Avalon project resealed the sewers,addressing the concern that sewage-contaminatedgroundwater was mixing with harbor water andimpacting the beach.
Methods
The primary goal of each CBI project was toreduce densities of FIB in receiving waters, thusbetter protecting swimmers and other beach go-ers. Therefore, project effectiveness was assessedin receiving waters nearest the project site ratherthan at the project site itself. A before/after strat-egy described by Madge (2004) was used in whichpre- and postproject mean densities of FIB (totaland fecal coliforms, Escherichia coli, enterococci)were compared to determine project effective-ness. Only completed projects with at least 1 yearof pre- and postproject shoreline monitoring datawere used for this assessment. A similar methodwas used by Kinzelman et al. (2006) to assess ef-fectiveness of a storm water infiltration and evap-oration bed in reducing densities of FIB enteringLake Michigan. The evaluation used here focusedon FIB as opposed to pathogens because thesebacteria are the basis of most discharge permitsand state and federal water quality standards, thusforming the basis for beach postings and closures.
Shoreline data
Assessments included FIB monitoring datacollected by various public health agencies atroutine shoreline monitoring stations. At these
Environ Monit Assess (2010) 166:95–111 99
Tab
le2
Shor
elin
em
onit
orin
gin
form
atio
nfo
rea
chpr
ojec
tin
clud
ing
rang
eof
date
sm
onit
ored
,mea
nm
onth
lyra
infa
llfo
rpr
e-an
dpo
stpr
ojec
tpe
riod
s,an
dso
urce
for
rain
fall
data
Pro
ject
No.
Mon
itor
ing
peri
odM
ean
mon
thly
rain
fall
(in.
)N
CD
CC
OO
Pst
atio
na
mon
itor
ing
Pre
proj
ect
Pos
tpro
ject
Pre
proj
ect
Pos
tpro
ject
site
s
Tem
esca
lCan
yon
1M
ay21
,200
1to
Oct
.21,
2002
May
27,2
003
toSe
p.27
,200
40.
190.
54Sa
nta
Mon
ica
Pie
rSa
nta
Mon
ica
Can
yon
1A
pr.1
,200
1to
Oct
.31,
2002
Apr
.1,2
003
toO
ct.3
1,20
040.
190.
67Sa
nta
Mon
ica
Pie
rIm
peri
alH
ighw
ay1
Apr
.30,
2001
toN
ov.1
,200
2A
pr.2
,200
3to
Oct
.16,
2004
0.35
0.78
Los
Ang
eles
Wso
Arp
tD
ohen
y4
Apr
.3,2
001
toSe
p.9,
2003
Sep.
18,2
003
toM
ay12
,200
50.
821.
71L
agun
aB
each
Hun
ting
ton
Bea
ch2
May
1,20
01to
May
22,2
003
May
24,2
003
toM
ay31
,200
50.
620.
84N
ewpo
rtB
each
Har
bor
Impe
rial
Bea
ch1
Apr
.4,2
002
toSe
p.28
,200
4O
ct.2
6,20
04to
Aug
.1,2
006
0.44
1.02
Chu
laV
ista
Cor
onad
oB
each
2A
pr.3
0,20
02to
Apr
.26,
2004
Apr
.29,
2004
toA
pr.2
7,20
060.
530.
94C
hula
Vis
taP
acifi
cG
rove
1A
pr.1
,200
2to
May
17,2
004
May
24,2
004
toA
pr.2
4,20
061.
391.
63M
onte
rey
Alis
oB
each
1A
pr.3
,200
1to
Jul.
30,2
003
Jul.
31,2
003
toJu
n.21
,200
50.
580.
89L
agun
aB
each
Poc
heB
each
1A
pr.1
5,20
03to
Oct
.14,
2003
Apr
.19,
2004
toO
ct.1
5,20
040.
230.
33L
agun
aB
each
Moo
nlig
htB
each
1A
pr.3
,200
0to
Aug
.6,2
002
Sep.
3,20
02to
Oct
.26,
2004
0.52
0.93
Oce
ansi
deM
arin
aSa
nta
Mon
ica
Pie
r1
Apr
.1,2
003
toO
ct.3
1,20
03A
pr.1
,200
4to
Oct
.31,
2004
0.03
0.79
Sant
aM
onic
aP
ier
Red
ondo
Bea
chP
ier
1A
pr.1
,200
3to
Oct
.31,
2004
Apr
.1,2
005
toA
ug.8
,200
60.
870.
57T
orra
nce
Dan
aP
oint
4O
ct.2
,200
3to
Jul.
13,2
004
Oct
.4,2
005
toJu
l.13
,200
60.
480.
4L
agun
aB
each
Pac
ifica
1A
pr.2
8,20
02to
Apr
.26,
2004
May
3,20
04to
Oct
.31,
2005
2.57
2.35
Pac
ifica
Ava
lon
2A
pr.3
,200
0to
Apr
.29,
2002
May
6,20
02to
May
24,2
004
0.86
0.77
Los
Ang
eles
Wso
Arp
tb
Pis
mo
Bea
ch2
Apr
.2,2
001
toSe
p.17
,200
3Se
p.18
,200
3to
Jun.
21,2
005
0.75
1.44
Pis
mo
Bea
ch
NC
DC
Coo
pSt
atio
nN
atio
nalC
limat
icD
ata
Cen
ter
Coo
pera
tive
Stat
ion
a His
tori
cm
onth
lyra
infa
llda
taav
aila
ble
from
Wes
tern
Reg
iona
lClim
ate
Cen
ter
(htt
p://w
ww
.wrc
c.dr
i.edu
/Clim
sum
.htm
l)bM
issi
ngda
tare
cord
sfo
rA
valo
nP
leas
ure
Pie
rdu
ring
mon
itor
ing
peri
ods
http://www.wrcc.dri.edu/Climsum.html
100 Environ Monit Assess (2010) 166:95–111
sites, water samples were collected at ankledepth (≤0.3 m) as practiced by all sanitation andhealth agencies and discussed by Griffith et al.(2007). One to four monitoring sites were selectedthat were positioned closest to a project wheresampling was conducted on a daily to weekly basis(Table 2). Multiple sites were used when possibleto gain better resolution of pre-/postprojectdifferences and usually were within a mile of oneanother. Depending on the monitoring agency,sampling was either performed throughout theyear or was restricted to the dry season defined asthe period April 1 through October 31. Also givenin Table 2 are time periods over which monitoringdata were collected for each project and the meanmonthly rainfall for pre- and postproject periods.
Testing agencies used collection and testingmethods as defined by the following APHAStandard Methods (2005): sample collection (SM9060A,B), membrane filtration for total coliforms(SM 9222B), fecal coliforms (SM 9222D), andE. coli. (SM 9213D m-TEC Modified EPA). En-terococci were tested using membrane filtrationaccording to EPA 1600 (US EPA 2006b).
Some agencies switched from membrane fil-tration to defined enzyme substrate methods(SM 9223) using Idexx® test kits (http://www.idexx.com) based on intercalibration studiesassociated with regional shoreline monitoring(Griffith et al. 2006) and with approval fromCalifornia regulatory agencies and the EPA.Monitoring agencies substituted the Idexx resultsdirectly with those from membrane filtration al-though Griffith et al. (2006) found that the Idexxtests underestimated the other methods by around10% since it directly measures E. coli rather thanthe broader fecal coliform group.
Data analyses
We tested for differences between FIB groupmedian densities in pre- and postproject periodsusing a t test on log10-transformed data to accountvariance associated with FIB data (Quinn andKeough 2002). Only data from the dry season,defined as the period April through Octoberin California receiving-water discharge permits,were used in the pre- and postproject implemen-tation comparisons.
Because most of the BMPs assessed do notoperate during wet weather, rainy days wereexcluded from the analyses using the follow-ing procedure. Rain days to be removed fromthe data were first identified from preliminaryarchived climate data available through NationalWeather Service stations closest to a projectsite. In the Los Angeles area, for example, rain-fall data were obtained from Los Angeles In-ternational Airport (LAX) as reported by theLos Angeles-Oxnard NWS office (see prelimi-nary climatology data at http://www.weather.gov/climate/index.php?wfo=lox). If data were ear-lier than 2004, then archived records avail-able from the Western Regional Climate Center(http://www.wrcc.dri.edu/Climsum.html) were ob-tained from the nearest remote automatedweather station. The day of rain plus thethree subsequent days then were removed fromthe data set to avoid the influence of rainevents.
Results
Diversions
The goal of the diversion projects was to di-vert runoff to the local sewage treatment plant,thus preventing ponding of contaminated wa-ter on the beach and contamination of mixingzones ocean water. Flows of contaminated runofftreated ranged from 189.3 m3/day for the SantaMonica Canyon low-flow diversion to a low of1.14 m3/day for the small diversion at Baby Beachin Dana Point Harbor (Table 3). This range offlow volumes places most of the diversion projectsat the lower end of the 17 assessed projects,whose collective dry-season flow averaged 770.2 ±928.2 m3/day.
Of the 14 monitoring sites associated withdiversion projects, FIB densities for all threebacteria groups were reduced during postprojectperiods by 71% (Tables 4 and 5). Diversionsat Santa Monica and Temescal Canyons werethe most successful in that densities of all FIBgroups were reduced after the projects wereimplemented, as were most exceedances of FIBstandards for single sample criteria (Table 6).
http://www.idexx.comhttp://www.idexx.comhttp://www.weather.gov/climate/index.php?wfo=loxhttp://www.weather.gov/climate/index.php?wfo=loxhttp://www.wrcc.dri.edu/Climsum.html
Environ Monit Assess (2010) 166:95–111 101
Table 3 Maximum flows as million gallons/day or cubicmeters/day diverted or treated by projects when operatingduring the dry season (April 1–October 31)
SWRCB project mg/day m3/day
8 Santa Monica Pier N/A N/A9 Redondo Beach Pier 0.0500 189.2710 Temescal Canyon 0.1403 531.2512 Santa Monica Canyon 0.8590 3,251.6713 Imperial Highway 0.0060 22.7115 Avalon N/A N/A19 Dana Pt (Baby Beach) 0.0003 1.1420 Aliso Beach 0.1000 378.5421a Doheny Beach (N. Creek) 0.0199 75.3721b Doheny Beach (Alipaz) 0.0388 146.8023 Poche Beach 0.4070 1,540.6624 Huntington Beach 0.4970 1,881.3526 Moonlight Beach 0.1930 730.5828b Imperial Beach 0.0018 6.81
The numbers preceding each project are the SWRCB’snumerical designation for the project
Successful diversion projects tended to divertnearly all runoff impacting the target beach.During rain events, diversions did not operate,bypassing runoff to the beach with consequentialincreases in FIB densities. In projects whereFIB densities were not significantly reduced,sources of FIB (usually untreated runoff) otherthan those diverted by the project impacted thebeach. For example, despite the two diversionprojects, enterococci along Doheny beach actuallyincreased in mean density during the postprojectmonitoring period, although peak densitiesdecreased as reflected by fewer exceedances ofbathing water standards for this group (Table 6).The North Creek storm drain and San Juan Creekdischarge onto Doheny State Beach. IncreasedFIB densities most likely were associated withrunoff from these two drainage systems, especiallyduring the postproject period when monthlyrainfall averaged 1.71 in., an increase of 0.89 in.from the preproject monitoring period (Table 2).
Sterilization facilities
Of the three sterilization facilities, only the projectat Moonlight Beach successfully reduced densi-ties of fecal coliforms (p99% (Cityof Encinitas 2006), the relatively short distancefrom the facility to the mixing zone (250 m), andthe absence of ponding on the beach (Table 7).In contrast, the small facility at Poche Beach con-sisted only of a UV cabinet positioned inside thePoche Creek storm drain (Volz 2005). Althoughthe distance to the surf zone was only 61 m, therelatively lower removal efficiencies (Table 7; 70–82%) and presence of a beach pond probablyallowed for rapid recontamination of the treatedeffluent.
Pier BMPs
The pier BMPs reduced the density of one or twogroups of FIB (Tables 4 and 5). This marginalsuccess reflected the fact that BMPs controlledonly some of the many sources of FIB associ-ated with these structures. It is especially difficultto control runoff flowing from the piers during
102 Environ Monit Assess (2010) 166:95–111
Tab
le4
Mea
nde
nsit
ies
ofpr
e-an
dpo
stpr
ojec
tFIB
dens
itie
sat
shor
elin
em
onit
orin
gsi
tes
for
each
proj
ect
Cle
anB
each
Nea
rest
Tot
alco
lifor
ms
Fec
alco
lifor
ms
Ent
eroc
occi
Init
iati
vesh
orel
ine
Pre
proj
ect
Pos
tpro
ject
Pre
proj
ect
Pos
tpro
ject
Pre
proj
ect
Pos
tpro
ject
proj
ect
mon
itor
ing
Mea
nSD
nM
ean
SDn
Mea
nSD
nM
ean
SDn
Mea
nSD
nM
ean
SDn
stat
ion(
s)
Div
ersi
ons
10T
emes
cal
DH
S103
391.
646
1.7
5316
6.7
271.
150
53.5
128.
052
24.3
25.5
5063
.910
2.3
5145
.267
.750
Can
yon
12Sa
nta
S460
5.5
1,63
3.0
406
172.
948
5.5
389
115.
024
8.7
405
55.3
103.
638
985
.315
3.5
6418
.535
.166
Mon
ica
Can
yon
13Im
peri
alS1
215
1.9
990.
740
714
8.7
1,04
7.0
391
16.8
51.5
407
39.1
39.4
391
13.5
13.5
667.
314
.364
Hig
hway
21D
ohen
yO
DB
0269
4.5
2,59
0.0
7360
5.3
1,41
9.0
4315
9.7
443.
573
411.
21,
122.
043
139.
230
9.7
7484
5.7
2,97
2.0
43O
CS2
398.
32,
251.
088
212.
462
7.7
7516
8.7
904.
388
87.1
247.
775
249.
21,
637.
088
382.
52,
012.
075
OC
S01,
537.
03,
993.
013
896
6.8
2,83
0.0
8168
8.4
2,20
1.0
138
676.
62,
336.
082
408.
71,
026.
013
878
1.2
2,92
1.0
82O
CS1
168.
959
7.3
138
142.
434
5.8
8078
.728
7.0
139
89.7
264.
380
86.7
168.
313
911
2.5
276.
680
24H
unti
ngto
n0
109.
31,
046.
023
417
4.3
1,33
4.0
231
101.
91,
040.
023
668
.020
3.8
231
15.3
45.2
236
27.1
62.5
231
Bea
chN
628
1.0
1,49
6.0
241
133.
145
5.2
226
269.
91,
503.
023
712
5.2
451.
022
645
.610
5.4
237
39.2
76.9
227
N12
69.0
238.
023
632
.537
.122
664
.823
5.7
240
27.6
26.7
226
18.0
31.4
238
10.0
15.0
226
28b
Impe
rial
EH
030
291.
81,
966.
066
1,30
3.0
4,34
2.0
3490
.037
7.9
6637
.166
.958
12.9
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Environ Monit Assess (2010) 166:95–111 103
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104 Environ Monit Assess (2010) 166:95–111
Table 5 Ratios of mean FIB densities between pre- and postproject periods at shoreline sampling stations; based on dryperiods (April–October) with rain days excluded
Project Station Total coliforms Fecal coliforms Enterococci
Pre-/ df pb Pre-/ df pb Pre-/ df pb
post ratioa post ratioa post ratioa
Diversions10 Temescal DHS103 2.40 101 0.0018∗ 2.20 100 0.0313∗ 1.40 99 0.0883
Canyon12 Santa S4 3.20 793
Environ Monit Assess (2010) 166:95–111 105
Table 6 Total exceedances of California bathing water standards for single sample criteria during pre- and postprojectperiods
CBI project Total coliforms Fecal coliforms Enterococci(10,000 MPN/100 ml) (400 MPN/100 ml) (103 MPN/100 ml)
Preproject Postproject Preproject Postproject Preproject Postproject
Temescal 0 0 1 0 7 5Canyon diversion
Santa Monica 3 0 27 2 14 2Canyon diversion
Imperial 2 1 3 1 2 0Hwy diversion
Doheny diversions 10 4 38 32 127 66Huntington 3 1 22 23 34 40
diversionImperial 1 1 3 1 1 0
Beach diversionCoronado 0 0 0 1 5 2
diversionsPacific 0 0 0 0 0 0
Grove diversionAliso Creek 0 0 1 5 5 3
disinfection facilityPoche Beach 0 0 2 3 2 2
disinfection facilityMoonlight Beach 0 1 5 3 16 6
disinfection facilitySanta Monica 0 2 17 17 1 0
Pier projectsRedondo Beach 1 0 48 52 3 17
Pier projectsDana Point 1 0 9 3 28 7
projectsPacifica 1 0 0 0 2 1
vegetated swaleAvalon 0 1 10 6 30 15
sewer projectPismo Beach 0 0 4 8 0 8
sewer project
Criteria are given in the column caption for each FIB group
wash-down cleaning activities and the impact ofbirds attracted to these structures. With regard toexceedances of single sample criteria, there wasrelatively little change at Santa Monica Pier, but atRedondo Pier, postproject exceedances increasedfrom three to 17 for enterococci.
Enclosed beach BMPs
After implementing the Baby Beach BMPs inDana Point Harbor, postproject FIB densities fellat nearly all four of the shoreline monitoring sta-
tions (Tables 4 and 5), with all FIB groups display-ing a significant decrease (Table 5; p
106 Environ Monit Assess (2010) 166:95–111
Table 7 Summary of removal efficiencies and characteristics for UV sterilization facilities
Mean FIB (MPN) Aliso Creek Poche Creek Moonlight Beach(filtration, UV) (UV) (filtration, UV)
Influent Effluent Influent Effluent Influent Effluent(n = 15 − 16) (n = 15 − 16) (n = 8) (n = 8) (n = 163) (n = 163)
Total coliforms 149,500 4,504 105,167 24,750 16,155 5Fecal coliforms 105,600 943 44,737 16,999 1,432 3Enterococci 31,630 810 72,550 17,566 773 3%Reduction
Total coliforms 0.97 0.76 >0.99Fecal coliforms 0.99 0.62 >0.99Enterococci 0.97 0.76 >0.99Distance 10,200 61 250
from beach (m)Outlet type Pond Pond ChannelFIB reduced? No No YesSource of data Anderson (2005) Volz (2005) City of
Encinitas (2006)
p>0.05). FIB exceedances of the single samplecriteria were slightly reduced (Table 6) althoughpreproject exceedances initially were very low forthe beach.
Sewer improvements
The two sewer improvement projects hadmixed results. Despite reconstruction of the liftstation at Pismo Beach, postproject densitiesat two shoreline stations at Pismo StateBeach increased (Table 4), some significantly(Table 5; fecal coliforms and enterococci atstation PB4), as did exceedances of standards forfecal coliforms and enterococci (Table 6). TheAvalon slip-lining project was more successfulin that fecal coliforms and enterococci werereduced at two shoreline sites (Table 5), withsignificant (p
Environ Monit Assess (2010) 166:95–111 107
Fig. 2 Relative success ofthe 17 CBI projects basedon lowering of FIBdensities at shorelinestations (Table 5) andmeeting single-samplewater quality criteria(Table 6). Numberspreceding the projectname refer to theSWQCB designation(Table 1)
SHORELINE FIB GENERALLY REDUCED
(NONE)
23 Poche Beach Sterilization Facility
9 Redondo Pier BMPs
PROJECT DID NOT SUFFICIENTLY REDUCE POLLUTANTS
DISTANT SHORELINE FIB GENERALLY REDUCED
DISTANT SHORELINE FIB NOT GENERALLY REDUCED
No projects fell into this category
Strategy and/or employed technology failed to reduce FIB; other FIB sources entered beach waters
10 Temescal Canyon Diversion
12 Santa Monica Canyon Diversion
13 Imperial Highway Diversion
28B Imperial Bch Diversion
26 Moonlight Bch Sterilization Facility
19 Dana Pt. (Baby Bch) BMPs
38 Pacifica Wetland Swale
PROJECT SUFFICIENTLY REDUCED POLLUTANTS IN EFFLUENT OR DIVERTED FROM BEACH
SHORELINE FIB NOT GENERALLY REDUCED
COMMENTS
Post-project densities of shoreline FIB reduced, standards more frequently met.
Post-project densities of shoreline FIB generally not reduced due to other sourcesof FIB that entered beach waters.
PROJECT OUTCOME CHART
21 Doheny Diversions
24 Huntington Bch Diversions
40 Pacific Grove Diversion
29 Coronado Bch Diversions
20 Aliso Beach Sterilization Facility
8 Santa Monica Pier BMPs
15 Avalon Sewer Improvements
infiltrated runoff in the collection system dropto acceptable levels, then the diversions will bereactivated. Other municipalities using low-flowdiversions should work with their sewage agen-cies to adopt similar strategies, thus significantlyreducing health risks during dry winter days.For example, based on National Weather Servicerainfall records from Los Angeles Airport dur-ing the winter of 2007–2008 (http://www.weather.gov/climate/index.php?wfo=lox), diversions couldhave been operating for 82 out of a possible 152
days, or 54% of the winter period. The nonoper-ational days included the day of rain plus threesubsequent to allow flows in the sanitary sewersto return to normal levels.
Rainfall in central and northern California isgreater than that of southern California. Basedon rainfall records for the period 1971–2000, themean monthly rainfall (inches) for San FranciscoCounty was 1.86 in. compared to 1.26 in. in LosAngeles County (Table 1). Considering the win-ter of 2007–2008, diversions in the San Francisco
http://www.weather.gov/climate/index.php?wfo=loxhttp://www.weather.gov/climate/index.php?wfo=lox
108 Environ Monit Assess (2010) 166:95–111
coastal area could have been operating for a totalof 72 out of 152 days, or 47% of the time. Opera-tional days in this example were only ten fewer forSan Francisco than Los Angeles. This example,however, is based on a “dry year” typical of a LaNiña climatic condition when winters in Californiaare cooler and drier than normal. In contrast, cli-matic conditions can shift into much warmer andwetter winters, particularly in southern California,when El Niño events periodically occur. Whenbeach managers are deciding whether or not toinstall low-flow diversion systems, they need tobalance the potential operational days given cli-matic swings between dry and wet winters with re-duced risk to swimmers by diverting contaminatedrunoff.
The wetland swale project was very successful,but more projects of this type must be imple-mented to better judge their success at filteringrunoff and reducing FIB densities along beaches.Evidence from other studies, summarized byRifai (2006), shows that constructed wetlandssuccessfully reduce FIB densities. He reportedthat average wetland efficiency at reducing patho-genic organisms and FIB was 88.3% (n = 15 stud-ies). The dominant mechanisms removing theseorganisms were adsorption/settling/sedimentationprocesses, death from visible and UV light, andcompetition and predation from other microor-ganisms. Muthukrishnan et al. (2004) describehow vegetated swales, small treatment wetlands,and other biofiltration systems are being usedmore frequently to infiltrate and remove conta-minants in runoff, especially in urban settings.In contrast, Grant et al. (2001) found that en-terococci emerging from the Talbert Marsh, asaltwater marsh in southern California, impactedthe surf zone of the adjacent Huntington Beach.The source of these bacteria most likely was fromurban runoff and bird activity. However, as moreof the contaminated runoff impacting the TalbertMarsh was diverted into the sewers for treat-ment during dry weather, the levels of enterococciand other bacterial indicators fell, demonstratingthe cleansing action of the marsh system Jeonget al. (2008).
Overall, utilizing vegetated areas and wet-land systems would appear to effectively protectbeaches from FIB contamination in coastal wa-
tersheds having suitable land for locating projects.The added value to this type of BMP is increasedhabitat for wetland biota, especially birds, and thecorresponding aesthetic appeal.
Sterilization facilities appear promising pro-vided that the influent is pretreated with filtrationto reduce suspended solids prior to UV disinfec-tion, the discharge point is as close to the surf zoneas possible, and the effluent is not allowed to pondon the beach. The Moonlight Beach UV facilitycombined these design features to significantlylower FIB counts at the beach.
Pretreatment filtration in sterilization facilitiesis needed to reduce suspended solids that canshield microorganisms from UV radiation. Boththe Aliso Creek and Moonlight Beach facilitiesemployed the use of multimedia filters that re-move particles as small as 20–50 μm. However,bacteria and viruses not attached to larger par-ticles would still pass through the filters, thusrequiring the effluent to pass through a UV orother disinfection stage. Both facilities achievedremoval efficiencies exceeding 97% for all indi-cator groups (Table 7) compared to the facilityat Poche Beach (62–76% removal efficiency) thatlacked a pretreatment filtration. While both facili-ties at Aliso Creek and Moonlight Beach achievedremoval efficiencies ≥97%, effluent from theAliso facility still did not meet water quality cri-teria for two of the FIB groups. This result mayreflect the greater concentration of FIB in theinfluent treated by Aliso relative to that at Moon-light Beach and also engineering and operationaldetails of the filtering and UV systems.
Even though a disinfection facility can pro-duce good quality effluent, the cleaned watercan be recontaminated by FIB after dischargeback into the waterway from a variety of sources.In studying a small subwatershed in southernCalifornia, Jiang et al. (2007) found that the ma-jor contributors to fecal coliforms in downstreamreaches were droppings from birds and otherwildlife, soil amendments, and regrowth of thesebacteria within the storm drains. This situationwas demonstrated by Anderson (2005) for theUV facility on Aliso Creek where cleaned runoffbecame rapidly recontaminated within meters ofthe discharge point, thus limiting its ability toreduce FIB densities at the receiving beach. The
Environ Monit Assess (2010) 166:95–111 109
potential for regrowth is high not only in water-ways but also in beach ponds where the watercan stagnate, becoming further contaminated byFIB populations residing in sediments (e.g., seeDesmarais et al. 2002; Ferguson et al. 2003, 2005;Yamahara et al. 2009) and within the water col-umn (Jiang et al. 2007). Therefore, when designinga disinfection facility, factors such as levels of nat-ural turbidity, distance to the beach, and regrowthpotential must be considered.
Other categories of projects were less success-ful mainly because they focused on only one ora few sources of contamination when many werepresent. Piers are challenging given the varietyof FIB sources such as feces from birds, rodents,growth on organic matter from fish cleaning anddiscarded bait, domestic pets, leaks from agingsewer systems, and runoff from trash containmentareas. Bird feces could be a prime source of fecalmaterial, driving up FIB densities on the piersand in surrounding water (e.g., see Alderisio andDeLuca 1999; Ricca 1998), and are difficult to con-trol. The sewer improvement projects may haverepaired local problems in the collection systems,but other sources of FIB still remained uncon-trolled.
The ultimate goal of these projects is toincrease the safety of swimmers, surfers, andother beach users by reducing or eliminatingpathogens from the water. Overall water quality inCalifornia has improved since passage of theClean Water Act in 1972 owing to improvementsin sewage treatment and disposal and implemen-tation of State and Federal regulations to controlnonpoint runoff pollution. Sources of fecal con-tamination to California’s inshore coastal waterstherefore have shifted from the disposal of sewageeffluent via offshore outfalls to nonpoint runoff,particularly from developed watersheds (Dojiriet al. 2003). For example, in the waters offshoreHuntington Beach, California, Boehm et al.(2002) noted that levels of fecal coliforms fellover the past 43 years, but transient poor waterquality did exist around storm drains, river outlets,and adjacent submarine outfalls. Water qualityimprovements continue to be made as programslike the CBI are implemented to control runoffpollution, but these improvements are realizedmainly during the dry season.
The new challenge for storm water programswill be to reduce risk to beach users, particularlysurfers, during wet weather. During winter con-ditions, Noble et al. (2003) found that the per-centage of southern California coastline meetingwater quality criteria fell from 95% to 60% ascontaminated runoff impacted greater stretchesof coastline. Surfers were shown to experiencedhigher rates of illness during wetter winters andat beaches in urbanized watersheds (Dwight et al.2004). Reducing FIB in storm runoff to meetwater quality criteria may prove to be impos-sible given the uniqueness of FIB on surfacesthroughout watersheds and the volumes encoun-tered (Surbeck et al. 2006), at least for end-of-pipeprojects like diversions and filtration/sterilizationfacilities described in this paper. Perhaps the bestapproach in reducing FIB and potential pathogensin runoff will be by increasing the use of vegetatedareas and treatment wetlands throughout urbanwatersheds. Using methods similar to those ofJeong et al. (2008), engineered wetlands could beproperly sized to determine their carrying capacityfor contaminated runoff. A side benefit would bethe great esthetic appeal of such areas and theiruse by migrating and resident biota.
Conclusion
Of the 17 projects assessed for their effectivenessin reducing densities of fecal indicator bacteria inbeach receiving waters, the most effective werelow-flow diversions and a wetland swale thatremoved all contaminated runoff from beachwaters. Ultraviolet sterilization was effective pro-vided runoff was first filtered to reduce suspendedsolids, and effluent was released close to thesurf zone to avoid FIB regrowth. Other projects,such as pier BMPs and sewer improvements, hadlimited success because receiving beach waterswere impacted by other sources of FIB fromcontaminated runoff, regrowth in sediments orwater, or feces from birds and other animals.Lessons learned from this assessment can beused to better design the BMPs to enhance theiroperations and to reduce beach pollution.
110 Environ Monit Assess (2010) 166:95–111
Acknowledgements I wish to acknowledge the manyhours of work by my LMU undergraduate research as-sistants, Genesee McCarthy and Patrick Carter. MikeGrimmer (Heal The Bay) kindly supplied all shorelinedata in highly manageable data sets programmed byLarry Cooper (SCCWRP). Laura Peters and her staffof the SWRCB provided individual project reports andfinancial data. Finally, Drs. Brock Bernstein and SteveWeisberg (SCCWRP) and an anonymous reviewer pro-vided many excellent suggestions in reviewing the manu-script. This work was done under a contract to the SouthernCalifornia Coastal Water Research Project (SCCWRP)from the California State Water Resources Control Board(SWRCB).
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c.10661_2009_Article_987.pdfImproving water quality through California's Clean Beach Initiative: an assessment of 17 projectsAbstractIntroductionThe Clean Beach Initiative
MethodsShoreline dataData analyses
ResultsDiversionsSterilization facilitiesPier BMPsEnclosed beach BMPsWetland swalesSewer improvements
DiscussionConclusionReferences