pathogen removal and effluent reuse universidade federal de viçosa departamento de engenharia civil...
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Pathogen removal and Pathogen removal and effluent reuseeffluent reuse
Universidade Federal de Universidade Federal de ViçosaViçosa
Departamento de Departamento de Engenharia CivilEngenharia Civil
Rafael K.X. BastosRafael K.X. Bastos
8th IWA SPECIALIST GROUP CONFERENCE ON WASTE STABILIZATION PONDS2nd Latin-American Conference on Waste Stabilization Ponds
Belo Horizonte, Brazil, 26-30 April 2009
• current state of the art current state of the art • knowledge gapsknowledge gaps• future researchfuture research
Pathogens is wastewaterPathogens is wastewater
Organism Concentration
Escherichia coli 106-108 /100 mL
Salmonellae spp. 102-103 /100 mL
Giardia cysts 102-104 / L
Cryptosporidium oocysts 101-102 / L
Helminth eggs 101-103 / L
Viruses 102-105 / L
RotavirusRotavirus
Protozoa (oo)cysts (4 – 20 Protozoa (oo)cysts (4 – 20 μm)μm)
Viruses (nViruses (nm)m)
Helminth eggs ( > 50 Helminth eggs ( > 50 μm )μm )
BacteriaBacteria( ≈ 1 ( ≈ 1 μm )μm )
Pathogens characteristics Pathogens characteristics
Salmonella
GiardiaGiardia
CryptosporidiumCryptosporidium
Ascaris
Pathogens removal in WSP Pathogens removal in WSP
Long HRT Long HRT
Inactivation Inactivation
SedimentationSedimentation
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WSP design for pathogens (bacteria) removalWSP design for pathogens (bacteria) removal
.t-Ko
beN=N
.tK+1
N=N
b
o
nb
o
)n
t.K+(1
N=N
.t.d4K1a
ea)(1ea)(1
4ae.NN
b
a/2d2a/2d2
1/2d
o
Dispersed flow
Complete-mix (cells in series )
Complete-mix Complete-mix (one cell)(one cell)
Plug flow
Equation Schematic Hydraulic Regime
Source : von Sperling (2007)
Marais (1974)Marais (1974)First order kinetics First order kinetics
complete-mix reactorscomplete-mix reactorsKKFCFC: temperature dependent: temperature dependent
die-off rate: the same in anaerobic, facultative and maturation pondsdie-off rate: the same in anaerobic, facultative and maturation ponds
Von Sperling (1999), Polprasert & Bhattarai (1985),
Agunwamba et al. (1992) First order kinetics First order kinetics
Dispersed flow rectorsDispersed flow rectors
Dispersion numbers (d)Dispersion numbers (d)
AdvancesAdvances on WSP design for bacteria (faecal coliforms) removal on WSP design for bacteria (faecal coliforms) removal
Curtis & Mara (1994)Environmental factorsEnvironmental factors
Mara (2002)Anaerobic ponds Anaerobic ponds
von Sperling (1999)Pond depth Pond depth
AdvancesAdvances on WSP design for bacteria (faecal coliforms) removal on WSP design for bacteria (faecal coliforms) removal
Influent faecal coliform Influent faecal coliform
TemperatureTemperature
Design flow Design flow
Hydraulic retention time Hydraulic retention time
Die-off rate constant (…)Die-off rate constant (…)
uncertainty of the input design parameters uncertainty of the input design parameters vsvs
deterministic average single valuesdeterministic average single values
random values selected from a range random values selected from a range (uniform probability distribution)(uniform probability distribution)
Monte Carlo Simulation Monte Carlo Simulation random value design procedure repeated for any required number of random value design procedure repeated for any required number of
times.times. design outputs: frequency histogram and cumulative frequency design outputs: frequency histogram and cumulative frequency
curves (decision-making) (e.g.: 95%ile of FC < 1,000 / 100 mL)curves (decision-making) (e.g.: 95%ile of FC < 1,000 / 100 mL)
AdvancesAdvances on WSP design for bacteria (faecal coliforms) removal on WSP design for bacteria (faecal coliforms) removal
AdvancesAdvances on WSP design for bacteria (faecal coliforms) removal on WSP design for bacteria (faecal coliforms) removal
Sensitivity analysis Sensitivity analysis which input design parameters significantly influence the design output which input design parameters significantly influence the design output
von Sperling (1996, 2002)von Sperling (1996, 2002)
one input design one input design parameter is allowed parameter is allowed to vary within a to vary within a proposed rangeproposed range
the rest: single the rest: single average valuesaverage values
AdvancesAdvances on WSP design for bacteria (faecal coliforms) removal on WSP design for bacteria (faecal coliforms) removal
AdvancesAdvances on WSP design for bacteria (faecal coliforms) removal on WSP design for bacteria (faecal coliforms) removal
Gawasiri (2003) Gawasiri (2003)
AdvancesAdvances on WSP design for bacteria (faecal coliforms) removal on WSP design for bacteria (faecal coliforms) removal
Kb (dispersed flow) = - 0.7118 Ln (H) + 0.8589 (20oC) R2 = 0.4491
Kb (dispersed flow) = 0.542 H - 1.259 (1) Von Sperling
Kb (dispersed flow) = 0.917 (H) - 0.877 . (HRT) - 0.329 (2) Von Sperling
Bacteria Bacteria (faecal coliforms(faecal coliforms) removal in WSP) removal in WSP
knowledge gaps & future research knowledge gaps & future research (local contexts)(local contexts)
1,0E+00
1,0E+02
1,0E+04
1,0E+06
1,0E+08
1,0E+00 1,0E+02 1,0E+04 1,0E+06 1,0E+08
Ne
est
(MP
N /
100m
L)
Ne obs (MPN / 100mL)
1,0E+00
1,0E+02
1,0E+04
1,0E+06
1,0E+08
1,0E+00 1,0E+02 1,0E+04 1,0E+06 1,0E+08
Ne
est
(MP
N /
100m
L)
Ne obs (MPN / 100mL)
Observed and estimated values of effluent Observed and estimated values of effluent E.coliE.coli concentrations using concentrations using von Sperling models, equation 1 (left) and equation 2 (right). von Sperling models, equation 1 (left) and equation 2 (right).
Bastos et al (2009) Bastos et al (2009)
Water (half-depth) x air temperatureWater (half-depth) x air temperature
WSP design for bacteria (faecal coliforms) removalWSP design for bacteria (faecal coliforms) removal
knowledge gaps & future research knowledge gaps & future research (local contexts)(local contexts)
Brito (1997) Brito (1997)
Rios (2008)Rios (2008)
Belo Horizonte, Brazil (UFMG)
Viçosa, Brazil (UFV)
Bastos et al (2006) Bastos et al (2006)
Organism
Kb (20oC) (d-1)
Pond 1 Pond 2Pond 3
Samonella sp. 4.57 2.60 3.00
E.coli 2.73 1.41 2.20
Pathogens (bacteria) removal in WSPPathogens (bacteria) removal in WSP
Well designed and properly operated and maintained WSP systems Well designed and properly operated and maintained WSP systems
can achieve a 3-6 log unit removal of bacterial pathogens, and a 3-4 can achieve a 3-6 log unit removal of bacterial pathogens, and a 3-4
log unit removal of viruses (WHO, 2006)log unit removal of viruses (WHO, 2006)
101033 FC / 100 mL effluent quality FC / 100 mL effluent quality ►► absence of pathogenic bacteria absence of pathogenic bacteria
Salmonellae , Campylobacter, Vibrio cholerae, Shigellae… Salmonellae , Campylobacter, Vibrio cholerae, Shigellae… (!!??)(!!??)
Pathogens (bacteria and viruses ) removal in WSPPathogens (bacteria and viruses ) removal in WSP
knowledge gaps & future researchknowledge gaps & future research
Enteroviruses, Norovirus, Rotavirus, Adenovirus, Astrovirus, Enteroviruses, Norovirus, Rotavirus, Adenovirus, Astrovirus,
Hepatitis A virus, Hepatitis E virus, Polyomavirus… Hepatitis A virus, Hepatitis E virus, Polyomavirus… (???)(???)
Viruses Viruses (????)(????)
Oragui et al. (1987, 1993)Oragui et al. (1987, 1993)
WSP design for parasites removalWSP design for parasites removal
Ayres et al (1992)
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y = 5,0498Ln(x) + 88,746
R2 = 0,6847
94
95
96
97
98
99
100
0 2 4 6 8 10
HRT (days)
Eff
cie
ncy
(%
)
Estimated Observed
Ayres et al (1992)
Bastos et al (2006)
Pathogens (parasites ) removal in WSPPathogens (parasites ) removal in WSP
knowledge gaps & future research knowledge gaps & future research (local contexts)(local contexts)
Well designed and properly operated and maintained WSP systems Well designed and properly operated and maintained WSP systems
can achieve a 1-2 log unit removal of protozoan (oo)cysts, and a 3-4 can achieve a 1-2 log unit removal of protozoan (oo)cysts, and a 3-4
log unit removal of helminth eggs (WHO, 2006)log unit removal of helminth eggs (WHO, 2006)
< 1 (human) nematode egg / L effluent quality < 1 (human) nematode egg / L effluent quality ►► absence of other absence of other
settlable organisms [eggs and (oo)cysts] settlable organisms [eggs and (oo)cysts] (??)(??)
Protozoan (oo)cysts (Giardia and Cryptosporidium)Protozoan (oo)cysts (Giardia and Cryptosporidium) (!!??)(!!??)
Grimason et al (1993)Grimason et al (1993)
Microsporidia (Enterocytozoon bieneusi and Encephalitozoon
Intestinalis), Cyclospora cayetanensis, Toxoplasma (…) (??)
Pathogens (parasites ) removal in WSPPathogens (parasites ) removal in WSP
knowledge gaps & future researchknowledge gaps & future research
30
40
50
60
70
80
90
100
3 4 6 8 11TDH (dias)
Efi
ciên
cia
(%)
Ascaris lumbricoides Ascaris sunn Toxocara canis
60
70
80
90
100
3 4 6 8 11TDH (dias)
Efi
ciê
nc
ia (
%)
Cryptosporidium Giardia
Pathogens (parasites ) removal in WSPPathogens (parasites ) removal in WSP
knowledge gaps & future researchknowledge gaps & future research
Ascaris lumbricoides
Ascaris suun
Toxocara canis
Giardia Giardia
CryptosporidiumCryptosporidium
Bevilacqua et al (2008)
WW reuse WW reuse
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Lins - SP
Approaches to setting microbiological guidelinesApproaches to setting microbiological guidelines
(i)(i) The absence of faecal indicator organisms in the wastewaterThe absence of faecal indicator organisms in the wastewater
(ii)(ii) No measurable excess cases in the exposed populationNo measurable excess cases in the exposed population
(iii)(iii) A model-generated risk which is below a defined acceptable riskA model-generated risk which is below a defined acceptable risk
Blumenthal (2000)Blumenthal (2000)
Type of reuse Treatment Effluent quality
Unrestricted irrigation
‘zero risk’ (?)
Secondary + filtration + disinfection
BOD 10 mg/LTurbidity 2 NTU Chorine residual 1mg/L Faecal coliforms ND Pathogens ND
Restricted irrigation
risk (?)
Secondary + disinfection
BOD 30 mg/LChorine residual 1mg/LFaecal coliforms 200/100 mL
Effluent quality for WW reuse Effluent quality for WW reuse
USEPA (2004)USEPA (2004)
Type of reuse Nematode eggs/L FC / 100 mL
Unrestricted irrigation (*) < 1 < 103
Unrestricted irrigation (**) < 1 -
WHO (1989)WHO (1989)
Effluent quality for WW reuse Effluent quality for WW reuse
‘‘Best available’ epidemiological evidenceBest available’ epidemiological evidence
* * workers’ riskworkers’ risk
** ** workers’ and consumers’ riskworkers’ and consumers’ risk
Ponds !!!Ponds !!!
HelminthsHelminths
Bacteria, protozoaBacteria, protozoa
Viruses Viruses
Risk ranking (theoretical model)Risk ranking (theoretical model)
Effluent quality for WW reuse (WHO, 2006) Effluent quality for WW reuse (WHO, 2006)
Options for the reduction of viral, bacterial, and protozoan pathogens Options for the reduction of viral, bacterial, and protozoan pathogens
by different combination of health protection measuresby different combination of health protection measures that achieve that achieve
the the health-based target of 10health-based target of 10-6-6 DALYS pppy DALYS pppy (risk-based approach!!)(risk-based approach!!)
Effluent quality for WW reuse (WHO, 2006) Effluent quality for WW reuse (WHO, 2006)
Pathogens reduced by treatment and post-treatment (pre-ingestion) Pathogens reduced by treatment and post-treatment (pre-ingestion)
health-protection control measureshealth-protection control measures
(i) Method of wastewater application; (ii) die-off between last irrigation (i) Method of wastewater application; (ii) die-off between last irrigation
and consumption; (iii) food preparation (washing/peeling) and consumption; (iii) food preparation (washing/peeling)
Effluent quality for WW reuse (WHO, 2006) Effluent quality for WW reuse (WHO, 2006)
QMRAQMRA
Epidemiological evidence Epidemiological evidence
Effluent quality for WW reuse (WHO, 2006) Effluent quality for WW reuse (WHO, 2006)
viral, bacterial, and protozoan infections: guidelines based on tolerable viral, bacterial, and protozoan infections: guidelines based on tolerable
additional disease burden of additional disease burden of ≤≤1010-6-6 DALYS (disability-adjusted life year) DALYS (disability-adjusted life year)
loss per person per year (pppy)loss per person per year (pppy)
Quantitative microbial risk analysis (QMRA)Quantitative microbial risk analysis (QMRA)
QMRA : QMRA : Dose – responseDose – response + exposure scenarios + exposure scenarios
Hass et al (1999)Hass et al (1999)
Microrisk (2006)Microrisk (2006)
Farmer wades through homemade Farmer wades through homemade diversion canal, which carries diversion canal, which carries wastewater to his fields in Pakistan.wastewater to his fields in Pakistan.
Source: IWMI (2003).Source: IWMI (2003).
Harvesting watercress from a Harvesting watercress from a wastewater canal in Vietnam. wastewater canal in Vietnam. Source: IWMI (2003). Source: IWMI (2003).
labour intensive x highly mechanized agriculture labour intensive x highly mechanized agriculture
QMRA : QMRA : Dose – response + Dose – response + exposure scenariosexposure scenarios
QMRA - Effluent quality for WW reuse (WHO, 2006) QMRA - Effluent quality for WW reuse (WHO, 2006)
exposure scenarios
AdvancesAdvances on QMRA - Effluent quality for WW reuse on QMRA - Effluent quality for WW reuse
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QMRA - Effluent quality for WW reuseQMRA - Effluent quality for WW reuse
knowledge gaps & future research knowledge gaps & future research (exposure scenarios)(exposure scenarios)
QMRA - Effluent quality for WW reuseQMRA - Effluent quality for WW reuse
knowledge gaps & future research knowledge gaps & future research (exposure scenarios)(exposure scenarios)
QMRA - Effluent quality for WW reuseQMRA - Effluent quality for WW reuse
knowledge gaps & future research knowledge gaps & future research (exposure scenarios)(exposure scenarios)
Constant ratio of pathogen numbers to Constant ratio of pathogen numbers to E. coli E. coli numbers numbers (??) (??)
0.1–1 rotavirus and 0.1–1 rotavirus and CampylobacterCampylobacter per 10 per 1055 E. coliE. coli
0.01–0.1 Cryptosporidium oocyst, per 100.01–0.1 Cryptosporidium oocyst, per 1055 E. coliE. coli
Pathogen die-off (reduction) between harvest and Pathogen die-off (reduction) between harvest and consumption consumption (??)(??)
1010-2-2-10-10-3 -3 rotavirus and rotavirus and CampylobacterCampylobacter
0–0.1 oocyst 0–0.1 oocyst
QMRA - Effluent quality for WW reuseQMRA - Effluent quality for WW reuse
knowledge gaps & future research knowledge gaps & future research (tolerable risk)(tolerable risk)
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Tolerable risk Tolerable risk (?)(?) ◄►◄► WW effluent quality (treatment level) WW effluent quality (treatment level)
Pathogens removal in WSP - Pathogens removal in WSP - QMRA - Effluent quality for WW reuseQMRA - Effluent quality for WW reuse
knowledge gaps and future researchknowledge gaps and future research (detection methods)(detection methods)
Detection methods for enteric pathogensDetection methods for enteric pathogens
Culture dependent methodsCulture dependent methods Bacteria: viable but nonculturable bacteria (VBNC)Bacteria: viable but nonculturable bacteria (VBNC)
Cell culture monitoring for cytopathogenic effect (CPE), enzyme Cell culture monitoring for cytopathogenic effect (CPE), enzyme
linked immuno assay (ELISA) linked immuno assay (ELISA) ►► some viruses, such as norovirus, some viruses, such as norovirus,
cannot be cultured in vitro.cannot be cultured in vitro.
Detection methods for enteric pathogensDetection methods for enteric pathogens
Microscopy Microscopy
Helminths and Helminths and protozoaprotozoa: concentration,: concentration, immunomagnetic immunomagnetic
separation, fluorescence microscopyseparation, fluorescence microscopy ► ► laborious, expensive and laborious, expensive and
inaccurate.inaccurate.
Fluorescent in situ hybridization Fluorescent in situ hybridization (FISH)(FISH) (bacteria, protozoa) (bacteria, protozoa) ► ►
require expensive equipment and highly trained staff.require expensive equipment and highly trained staff.
S. Enteritidis Oliveira e Bernardo (2002)
Pathogens removal in WSP - Pathogens removal in WSP - QMRA - Effluent quality for WW reuseQMRA - Effluent quality for WW reuse
knowledge gaps and future researchknowledge gaps and future research (detection methods)(detection methods)
Detection methods for enteric pathogensDetection methods for enteric pathogens
Nucleic acid based methodsNucleic acid based methods amplification (Polymerase Chain Reaction) amplification (Polymerase Chain Reaction) (PCR)(PCR) of target DNA or of target DNA or
reverse transcription followed by PCR reverse transcription followed by PCR (RT-PCR)(RT-PCR) for target RNA, for target RNA,
quantitative real time PCR quantitative real time PCR (qPCR),(qPCR), denaturing gradient gel denaturing gradient gel
electrophoresis electrophoresis (DGGE)(DGGE) (viruses, protozoa, bacteria) (viruses, protozoa, bacteria) ► ► require require
expensive equipment, standardization and highly trained staff.expensive equipment, standardization and highly trained staff.
Enteroviruses in pond effluent (Venezuela) Guastadisegni et al (2002)
Pathogens removal in WSP - QMRA - Effluent quality for WW reusePathogens removal in WSP - QMRA - Effluent quality for WW reuse
knowledge gaps and future researchknowledge gaps and future research (detection methods)(detection methods)
Pathogens removal in WSP - Pathogens removal in WSP - QMRA - Effluent quality for WW reuseQMRA - Effluent quality for WW reuse
knowledge gaps and future researchknowledge gaps and future research
Remarkable advances !!Remarkable advances !!
More field data More field data
Thank you !!!Thank you !!!
On-going researchOn-going research
Pathogens removal (mechanisms) in ponds Pathogens removal (mechanisms) in ponds ► ► robust robust
(simple) design models (simple) design models
Pathogens reduction (treatment + post-Pathogens reduction (treatment + post-
treatment) treatment) ► ► QMRA QMRA ◄►◄► epidemiological epidemiological
evidence evidence