qmraspot - a tool for quantitative microbial risk ... · 29 qmra dossiers (1st time historic data)...
TRANSCRIPT
![Page 1: QMRAspot - a Tool for Quantitative Microbial Risk ... · 29 QMRA Dossiers (1st time historic data) 214 Production locations 84; 39% 97; 46% 9; 4% 7; 3% 4; 2% 13; 6% A-unconfined aquifers](https://reader033.vdocuments.site/reader033/viewer/2022050523/5fa68e29b01d653ec462f05e/html5/thumbnails/1.jpg)
1 QMRAspot | Bangalore | Feb 2012
QMRAspot - a Tool for Quantitative Microbial Risk Assessment from Surface Water to Potable Water
Jack Schijven
Peter Teunis
Saskia Rutjes
Martijn Bouwknegt
Ana Maria de Roda Husman
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2 QMRAspot | Bangalore | Feb 2012
Content
1. Dutch Drinking Water Legislation and Implementation of QMRA
2. QMRA
3. QMRAspot
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3 QMRAspot | Bangalore | Feb 2012
Content
1. Dutch Drinking Water Legislation and Implementation of QMRA
2. QMRA
3. QMRAspot
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Dutch Drinking Water Legislation and Implementation of QMRA
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Dutch Drinking Water Act 2001
● No pathogens in drinking water ≠ zero => risk
● No detection of E. coli in 100 ml water ≠ safe water
● Quantitative Microbiological Risk Assessment (QMRA)
– WHO Drinking Water Guidelines: Health based target– http://www.who.int/water_sanitation_health/publications/2011/dwq_guidelines/en/index.html
– The Netherlands: Max infection risk = 10-4 per person per year
– Drinking water concentration ≈ 1 pathogen in 1 000 000 liter
● QMRA required for drinking water from surface water and vulnerable groundwater
● Index pathogens
– Enteroviruses, Campylobacter, Cryptosporidium, Giardia
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Environmental Inspectorate Guideline 5318 (2006)● How to do QMRA
● QMRA from surface water to drinking water
– Quality of source water (index pathogens)
– Treatment efficiency (indicator organisms)
● QMRA from vulnerable groundwater to drinking water
– Is protection zone of 60 days an adequate barrier (natural treatment)?
● Unconfined sandy aquifers and karst aquifers are vulnerable
– No protective confining (clay) layers
– Karst: fast flow paths
Index pathogens Indicator organismsEnteroviruses 20-200 nm Bacteriophages 20-60 nmCampylobacter 1-2 µm E.coli 1-2 µmCryptosporidium 5-6 µm Spores of sulphiteGiardia 8-10 µm reducing clostridia (SSRC) 1 µm
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QMRA evaluation
Drinking water companies
RIVMNational Institute for Public Health and the Environment
EnvironmentalInspectorate
QMRA dossier1st time: Historic data
New data every 3 years
QMRA reportRecommendations
DecisionIf not OK:
Extra treatment / more data
MEETING
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Overview Dutch drinking water companies
● 11 Drinking water companies
● 29 QMRA Dossiers (1st time historic data)
● 214 Production locations
84; 39%
97; 46%
9; 4%
7; 3%
4; 2%
13; 6%
A-unconfined aquifers
B-(semi)confined aquifers
I-groundwater recharge (dunes)
K-limestone aquifers
O-surface water
U-riverbank filtration
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Content
1. Dutch Drinking Water Legislation and Implementation of QMRA
2. QMRA
3. QMRAspot
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QMRAspot | Bangalore | Feb 20129
QMRA
HAZARD IDENTIFICATION
EXPOSURE ASSESSMENT
DOSE RESPONSE RELATION
RISK CHARACTERIZATION
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QMRA
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QMRA from surface water to drinking water
● Csw = Pathogen concentration in source water [N/liter]
● R = Recovery = fraction of detected pathogens [-]
● Z = Fraction of microorganisms passing treatment [-]
● Cdw = Pathogen concentration in drinking water [N/liter]
● V = Consumption of unboiled drinking water [liter]
● Pm = Infectivity of pathogen [-]
● Pinf = Infection risk [T-1]
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QMRA from surface water to drinking water
● Csw = Pathogen concentration in source water [N/liter]
● R = Recovery = fraction of detected pathogens [-]
● Z = Fraction of microorganisms passing treatment [-]
● Cdw = Pathogen concentration in drinking water [N/liter]
● V = Consumption of unboiled drinking water [liter]
● Pm = Infectivity of pathogen [-]
● Pinf = Infection risk [T-1]
Production (m3/day) Regular Peak events
<10 000 6 3
10 000-100 000 13 6
>100 000 26 9
Monitoring programme surface water
# of samples/3 years (conduct in 1 year)
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QMRA from surface water to drinking water
● Csw = Pathogen concentration in source water [N/liter]
● River Rhine at Lobith:
1
10
100
1000
20-05-97 28-08-97 06-12-97 16-03-98 24-06-98Date
(oo)cysts/litreenteroviruses
/1000 litre
0
1000
2000
3000
4000
Flow ratem3s-1
CryptosporidiumGiardiaEnterovirusesFlow rate
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WHO Guideline for Drinking Water Quality, 4th ed.
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QMRA from surface water to drinking water
● Csw = Pathogen concentration in source water [N/liter]
● R = Recovery = fraction of detected pathogens [-]
● Z = Fraction of microorganisms passing treatment [-]
● Cdw = Pathogen concentration in drinking water [N/liter]
● V = Consumption of unboiled drinking water [liter]
● Pm = Infectivity of pathogen [-]
● Pinf = Infection risk [T-1]
● Recovery data needed for each matrix and sample
Enterovirus 40-90% Rutjes et al, RIVM 3000 0007/2004
Campylobacter Most Probable Number
Cryptosporidium 0.7-88% Schets et al, RIVM 3000 0008/2004
Giardia 1.8-22% Schets et al, RIVM 3000 0008/2004
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QMRA from surface water to drinking water
● Csw = Pathogen concentration in source water [N/liter]
● R = Recovery = fraction of detected pathogens [-]
● Z = Fraction of microorganisms passing treatment [-]
● Cdw = Pathogen concentration in drinking water [N/liter]
● V = Consumption of unboiled drinking water [liter]
● Pm = Infectivity of pathogen [-]
● Pinf = Infection risk [T-1]
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QMRA from surface water to drinking water
● Csw = Pathogen concentration in source water [N/liter]
● R = Recovery = fraction of detected pathogens [-]
● Z = Fraction of microorganisms passing treatment [-]
● Log10Z is log removal by treatment
● Required removal
– 4 – 8 log10– Depends on time and location
– Multiple barriers
● Disinfection
– UV, ozone, chlorine
● Filtration
– Membrane filtration, slow sand filtration, dune passage
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Drinking water treatment
● Disinfection
– Damages (kills) microorganisms
● Filtration
– Removes microorganisms
● Removal by treatment, example
– 99% is removed/killed/retained
– Fraction: 1% passes treatment
– Removal 2 log10● Source water (river, lake)
– 1-100 pathogens per liter
● NL-safe drinking water: maximum one pathogen per million liter
● Need a series of treatment: Multibarriers
– Commonly five to eight log removal
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Disinfection
● Chlorine/ Chlorine dioxide
– Oxidization of organic matter
● Ozone (O3)
– Strong oxidization of organic matter
● UV
– Damages nucleic acid
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Filtration
● Sieving / straining: pore size
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Sand filtration● Inactivation
● Attachment/detachment
● Straining
--
- - -
Grain of sand
�
�
Attachment
Inactivation
Inactivation
Detachment
-
+----
-- +-
--
--
--
+
+-
---
-
-
-
--
-
--
-
--
---
-
--
--
-
---
- -
--
- --
--
-
--
-
- --
+
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--
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Sand filtration
● Rapid sand filtration
● Slow sand filtration
● River bank filtration
RiverTo WaterWorks
AlluvialAquifer
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QMRA from surface water to drinking water
● Csw = Pathogen concentration in source water [N/liter]
● R = Recovery = fraction of detected pathogens [-]
● Z = Fraction of microorganisms passing treatment [-]
● Log10Z is log removal by treatment
● Data of indicator organisms
1. Raw data: Counts and sample sizes before and after treatment
2. Location specific conditions
3. Full scale
4. Pilot plant scale
5. Laboratory scale
6. Literature data from other locations and scales
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QMRA from surface water to drinking water
● Csw = Pathogen concentration in source water [N/liter]
● R = Recovery = fraction of detected pathogens [-]
● Z = Fraction of microorganisms passing treatment [-]
● Cdw = Pathogen concentration in drinking water [N/liter]
● V = Consumption of unboiled drinking water [liter]
● Pm = Infectivity of pathogen [-]
● Pinf = Infection risk [T-1]
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QMRA from surface water to drinking water
● Csw = Pathogen concentration in source water [N/liter]
● R = Recovery = fraction of detected pathogens [-]
● Z = Fraction of microorganisms passing treatment [-]
● Cdw = Pathogen concentration in drinking water [N/liter]
● Cdw = Csw x 1/R x Z
● Csw ≈ 0.01 – 100 pathogens per liter
● Log10Z ≈ 4 – 8 log10● Cdw ≈ 10-6 pathogens per liter
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QMRA from surface water to drinking water
● Csw = Pathogen concentration in source water [N/liter]
● R = Recovery = fraction of detected pathogens [-]
● Z = Fraction of microorganisms passing treatment [-]
● Cdw = Pathogen concentration in drinking water [N/liter]
● V = Consumption of unboiled drinking water [liter]
● Pm = Infectivity of pathogen [-]
● Pinf = Infection risk [T-1]
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QMRA from surface water to drinking water
● Csw = Pathogen concentration in source water [N/liter]
● R = Recovery = fraction of detected pathogens [-]
● Z = Fraction of microorganisms passing treatment [-]
● Cdw = Pathogen concentration in drinking water [N/liter]
● V = Consumption of unboiled drinking water [liter]
● Average per person0.27 L/day
● Exposure = Dose D
– D = Cdw x V
– Numbersof ingestedpathogens/day
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QMRA from surface water to drinking water
● Csw = Pathogen concentration in source water [N/liter]
● R = Recovery = fraction of detected pathogens [-]
● Z = Fraction of microorganisms passing treatment [-]
● Cdw = Pathogen concentration in drinking water [N/liter]
● V = Consumption of unboiled drinking water [liter]
● Pm = Infectivity of pathogen [-]
● Pinf = Infection risk [T-1]
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QMRA from surface water to drinking water● Csw = Pathogen concentration in source water [N/liter]
● R = Recovery = fraction of detected pathogens [-]
● Z = Fraction of microorganisms passing treatment [-]
● Cdw = Pathogen concentration in drinking water [N/liter]
● V = Consumption of unboiled drinking water [liter]
● Pm = Infectivity of pathogen [-]
● Not every pathogen particle causes an infection
● Pm = fraction of infectious particles(dose response relation,Teunis et al., Risk Analysis, 1999, 19:1251-260)
● Pm of enteroviruses highly variable
● Rotavirus most infectious virus
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QMRA from surface water to drinking water
● Csw = Pathogen concentration in source water [N/liter]
● R = Recovery = fraction of detected pathogens [-]
● Z = Fraction of microorganisms passing treatment [-]
● Cdw = Pathogen concentration in drinking water [N/liter]
● V = Consumption of unboiled drinking water [liter]
● Pm = Infectivity of pathogen [-]
● Pinf = Infection risk [T-1]
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QMRA from surface water to drinking water
● Csw = Pathogen concentration in source water [N/liter]
● R = Recovery = fraction of detected pathogens [-]
● Z = Fraction of microorganisms passing treatment [-]
● Cdw = Pathogen concentration in drinking water [N/liter]
● V = Consumption of unboiled drinking water [liter]
● Pm = Infectivity of pathogen [-]
● Pinf = Infection risk [T-1]
● Pinf,day = Csw x 1/R x Z x V x Pm● Pinf,year = 365.25 x Pinf,day or
● Monte Carlo simulations (variability)
( )∏=
−−=365
1inf,inf, 11
idayyear i
PP
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Content
1. Dutch Drinking Water Legislation and Implementation of QMRA
2. QMRA
3. QMRAspot
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Microbiologic data for QMRA● Inspectorate Guideline 5318: QMRA every three years
● 1st time of QMRA
– Historic data
– Reports with detailed descriptions of drinking water production sites
● 2nd time of QMRA (2010-2012)
– New data from approved monitoring programs
● Raw data = unprocessed data
– Quantitative methods => Counts (N) and Sample sizes (V)
– Sample size: the actual analyzed size (volume) of the sample
– Most Probable Number: MPN-scheme (sample sizes) with 0 or 1
● Spreadsheet
– Scheme: Drinking water treatment and data selection
– Raw data in columns
– Set up after consulting drinking water companies
– Adaptation of LIMS
● Computational tool: QMRAspot
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REFERENCE
● QMRAspot
– Schijven JF, Teunis P, Rutjes S, Roda Husman AM de. QMRAspot: A computational user-friendly interactive tool for quantitative microbial risk assessment from surface water to drinking water.
Water Research, 10.1016/j.watres.2011.08.024 .
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QMRA from surface water to potable water
● Mathematica notebook (Wolfram Inc, Champaign, Illinois, version 8)
● Runs in Mathematica and Mathematica Player Pro
● Two buttons
– Select file
– Run QMRA
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Select file:QMRAdata.xls
● Select and open a preformatted Excel spreadsheet with raw microbial data
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QMRAdata.xls
● SCHEME
– Selections of RAW DATA
● RAW DATA
– Counts N
– Volumes V
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Run QMRA
● Read the data from QMRAdata.xls
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Run QMRA
● Read the data from QMRAdata.xls
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Index pathogen source water concentration, Csw
● Last open water before treatment
● Sample scheme in relation with production capacity
● Regular sampling
● Peak events
● Counts and volumes: Negative Binomial [r,1/(1+λVi)]
● Concentrations:Gamma [r,λ]
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Recovery efficiency of detection method, R
● Preferably determined for each sample
● Paired spike and recovery data
● R: Beta [α,β], fraction (0-1)
● If no data R=1
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Treatment Z1..6
● Unpaired influent and effluent data
● Beta [α,β], fraction (0-1)
● If only zero counts in influent then Z
i=1
● If only zero counts in effluent then Z
ican be
estimated as well
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Plots
● Time plots of concentrations of index pathogens of indicator organisms
● Plots include a line for the mean concentration and a coloured area encompassing 95% of all concentrations
● Concentrations higher than the 95-percentile are considered as peak concentrations
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Monte Carlo data
● 10 000 samples from distributions from source water concentration and recovery
● Source water concentrationX1/Recovery=Corrected source water concentration
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Monte Carlo data
● 10 000 samples from distributions from source water concentration and recovery
● Source water concentrationX1/Recovery=Corrected source water concentration
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Monte Carlo data
● 10 000 samples from treatment distributions
● Total treatmentZtot = Z1 x … x Z6
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Z1
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Z2
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Z3
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Monte Carlo data
● Drinking water concentrationCdrw = Csource x 1/R x Ztot
● Consumption, W
● Exposure of dose, number of ingested pathogens per person per dayD = Cdrw x W
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Monte Carlo data
● Drinking water concentrationCdrw = Csource x 1/R x Ztot
● Consumption, W
● Exposure of dose, number of ingested pathogens per person per dayD = Cdrw x W
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Infection risk, Pinf
● Per person per day
● α and β are infectivity parameters with between-strain variability
● Per person per year
( )∏=
−−=365
1inf,inf, 11
idayyear i
PP
( )DFPiday −+−= ;,1 11inf, βαα
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Infection risk, Pinf
● Per person per day
● α and β are infectivity parameters with between-strain variability
● Per person per year
( )∏=
−−=365
1inf,inf, 11
idayyear i
PP
( )DFPiday −+−= ,,1 11inf, βαα
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Infection risk, Pinf
● BoxWhisker plots of infection risk per person per year for each index pathogen
● 95-percentile < 10-4 per person per year
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Options● Index pathogens in
source water
● Distribution parameters instead of RAW DATA
● Values from literature
● RAW DATA preferred
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Options● Removal of indicator
organisms by treatment
● Distribution parameters instead of RAW DATA
● Values from literature
● Database of distribution parameters for treatment steps as a function of process conditions
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Options● Consumption of
unboiled drinking water
● Lognormal distributions for the Netherlands and the USA
● WHO: Fixed volume of 2 liter per person per day
● Or distribution parameters for any other country and/or for any other subpopulation (children, women, the elderly)
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CONCLUSIONS
● Quick-and-clean QMRAin a few minutes
● For worldwide useby any stakeholder (environmental inspector, engineer, employee of drinking water company) without extensive knowledge about QMRA
● Options: Scenario studies
● Base for mitigation strategies, preventive measures, prioritization of measures
QMRAspot
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QUESTIONS?
● QMRAspot is for free