A Laboratory Program for Wastewater Microbiology
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Transcript of A Laboratory Program for Wastewater Microbiology
WHY MICROBIOLOGY?
• IT IS IMPORTANT TO DEVELOP AND
MAINTAIN A PROCESS CONTROL
PROGRAM THAT INCLUDES WASTEWATER
MICROBIOLOGY.
• CONDUCTING SIMPLE ANALYSES,
ROUTINELY AND CONSISTENTLY IS KEY TO
UNDERSTANDING THE MICROBIOLOGICAL
WORKINGS OF THE WASTEWATER
TREATMENT PLANT.
WHY MICROBIOLOGY?
• THE WASTEWATER TREATMENT PROCESS IS A
BIOLOGICAL ZOO HOUSING BACTERIA,
PROTOZOA, METAZOA AND OTHER
MICROORGANISMS.
• MICROORGANISMS USE THE ORGANIC MATERIAL
AS FOOD SOURCES FOR ENERGY, TO CREATE NEW
CELL COMPONENTS, AND TO MAINTAIN LIFE
PROCESSES.
WHY MICROBIOLOGY?
• THE MICROORGANISMS ARE THE VIPS OF THE
TREATMENT PROCESS
• THE HEALTH AND WELL-BRING OF THESE
MICROORGANISMS ARE CRITICAL TO THE ADEQUATE
TREATMENT OF SEWAGE.
• THERE ARE DIFFERENT TYPES OF TREATMENT
PROCESSES, BUT THEY ALL RELY ON
MICROORGANISMS TO BREAK DOWN AND REMOVE
ORGANIC WASTES.
Bar screens
trap large
debris
Water is slowed down to
allow grit to settle out
Primary tank floats oil &
grease and removes
settleable solids
Solids
Handling
Microorganisms mixed with wastewater
(mixed liquor) in the presence of oxygen,
consume biodegradable materials
Wastewater from homes, industry, and sometimes
storm water enter the WRP via interceptors
Primary solids are
pumped to solids
handling/processing.
Mixed liquor is
pumped to
secondary clarifiers
where biological
solids, containing
microorganisms is
separated from the
liquid.
Most of the
microorganisms
are returned to
aeration to feed
on the
continuous
inflow of
wastewater.
Some secondary solids are wasted to
solids handling/processing.
Primary
Tank
Grit
Removal
Aeration Basin
Secondary Clarifier
Final treated
water is
discharged
to the
waterbody.
WASTEWATER MICROBIOLOGY
• THE WASTEWATER TREATMENT
PROCESS IS A BIOLOGICAL
PROCESS
• IN ORDER TO PROPERLY
EVALUATE THIS PROCESS WE
SHOULD INCORPORATE
BIOLOGICAL TOOLS.
• ONE OF THOSE BIOLOGICAL
TOOLS IS THE MICROSCOPE.
THE PROBLEM
• MANY FACILITIES DO NOT
HAVE DEDICATED STAFF.
• THE MAIN FOCUS IS ON
NPDES PERMIT RELATED
COMPLIANCE
MONITORING.
TYPICAL PROCESS MONITORING
• 30-MINUTE SETTLING
TEST
• SLUDGE VOLUME INDEX
(SVI)
• TYPICALLY USED TO
MONITOR THE SETTLING
CHARACTERISTICS
A SIMPLE LABORATORY PROGRAM
• ALWAYS USE A WELL MIXED,
REPRESENTATIVE SAMPLE OF MIXED LIQUOR
• ALWAYS USE THE SAME VOLUME OR
NUMBER OF DROPS ON THE SLIDE.
• ALWAYS COLLECT THE SAMPLE FROM THE
SAME LOCATION
• USE THE SAME SAMPLE FOR ALL THE TESTS
A SIMPLE LABORATORY PROGRAM
• FLOC COLOR INDEX
• ZOOGLEAL MASS INDEX
• TOTAL SHELLED PROTOZOA-
METAZOA
• TOTAL FILAMENT COUNT
A SIMPLE LABORATORY PROGRAM
• WET MOUNT
• FLOC COLOR INDEX
• TOTAL SHELLED PROTOZOA
• ZOOGLEAL MASS INDEX
• STAINED SLIDE
• FILAMENT COUNT
FLOC COLOR INDEX
• UNDER NORMAL
CONDITIONS FLOC
SHOULD APPEAR BROWN
WHEN OBSERVED USING
PHASE CONTRAST.
FLOC COLOR INDEX
-5
• Low food/nutrients
• Under low food/low
nutrient conditions
bacteria secrete excess
amounts of exocellular
lipopolysaccharide
• The more starved they
are, the more they
secrete
FLOC COLOR INDEX
+5
• Old Floc (sludge)
• Septic
• Older floc is darker in
color.
• When oxygen is lacking
the floc becomes septic
and turns dark brown to
black in color.
FOOD : MICROORGANISM RATIO (F:M)
M (Determined by the MLVSS or MLSS)
F (Determined by the BOD or COD test)
• The color of the floc is directly related to
the Food:Microorganism ratio.
FLOC COLOR INDEX
• FLOC COLOR CAN ALSO BE AN INDICATOR OF
STRESS TO THE FLOC-FORMING
MICROORGANISMS.
• STRESS CAN BE CAUSED BY LOW LEVELS OF
TOXICITY, CHANGES IN PH ETC.
JOHN E. EGAN WRP (50 MGD)
• BEGINNING AUGUST 1, 2011 THROUGH DECEMBER 31, 2012
• 137 SAMPLES COLLECTED
• SOUTH BATTERY: 55 SAMPLES
0
0.05
0.1
0.15
0.2
0.25
0.3
-4.5
-4
-3.5
-3
-2.5
-2
-1.5
-1
-0.5
0
Comparison of Floc Color with F:M Ratio - Egan South Battery August 2011-September 2012
Floc color
F/M Ratio
2 per. Mov. Avg. (Floc color)
2 per. Mov. Avg. (F/M Ratio)
0.00
0.05
0.10
0.15
0.20
0.25
0.30
Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
F/M
Ratio
Monthly Average F/M RatiosAugust 2011 through December 2012
Battery A Battery B Battery C Battery D
0.00
0.05
0.10
0.15
0.20
0.25
-3.00
-2.50
-2.00
-1.50
-1.00
-0.50
0.00
Battery A Battery B Battery C Battery D
Slu
dge C
olo
r In
dex
Comparison of Sludge Color Index and Average F/M Ratios
SCI F/M Ratio
CALUMET WATER RECLAMATION PLANT
• FIVE BATTERIES
• 3 DISTINCT
CONFIGURATIONS
• BATTERY A AND B
• BATTERY C
• BATTERY E-1 AND
E-2
SHELLED PROTOZOA & METAZOA
• WHEN CONDITIONS ARE
UNFAVORABLE PROTOZOA
AND METAZOA THAT FORM
SHELLS WILL DOMINATE IN THE
SYSTEM.
• CONDITIONS SUCH AS LOW
LEVELS OF TOXICITY, CHANGES
IN PH ETC.
SHELLED PROTOZOA & METAZOA
• THE GROWTH OR DOMINANCE OF SHELLED
SPECIES IS USUALLY THE RESULT OF CHANGES TO
THE AERATION BASIN INFLUENT CHARACTERISTICS
(I.E. CHANGES IN PH, LOW LEVELS OF TOXICITY)
THAT CREATES AN UNFAVORABLE ENVIRONMENT
FOR THE MICROORGANISMS.
SHELLED PROTOZOA & METAZOA
• THIS PARAMETER IS BEST USED AS AN INDICATOR
OF LOW LEVELS OF TOXICITY.
• COMMON IN LARGE, URBAN CITIES
• COUNTS TRENDING WELL ABOVE AVERAGE CAN
INDICATE OF AN INCREASE IN TOXIC
SUBSTANCES OR A MORE HARSH
ENVIRONMENT.
ZOOGLEAL MASS INDEX
• THERE ARE BASICALLY TWO TYPES OF
BACTERIA IN THE TREATMENT SYSTEM.
• THOSE THAT FORM FLOC AND THOSE THAT DO
NOT
• FLOC-FORMERS GENERALLY REACT TO
NEGATIVE SITUATIONS BY PRODUCING
EXCESS AMOUNTS OF LIPOPOLYSACCHARIDE.
• NON FLOC-FORMERS GENERALLY FORM
ZOOGLEAL MASSES IN RESPONSE TO
NEGATIVE CONDITIONS.
ZOOGLEA
• SIMILAR TO INCREASES IN THE SHELLED SPECIES POPULATION,
INCREASES IN THE NUMBER OF ZOOGLEA MASSES IS
USUALLY THE RESULT OF CHANGES TO THE INFLUENT
CHARACTERISTICS THAT CREATES AN UNFAVORABLE
ENVIRONMENT FOR THE BACTERIA. THIS TOO IS USUALLY
BEYOND THE OPERATOR’S CONTROL.
• AN INCREASE IN THE NUMBER OF ZOOGLEA MASSES
COUPLED WITH AN INCREASE IN SHELLED SPECIES IS A
STRONG INDICATION OF TOXIC OR HARSH CONDITIONS.
O’BRIEN WRP – SHELLED SPECIES
Average Shelled
Protozoa/Metazoa
Count (mgVSS)
Percent Shelled
Species (%)
Battery A 439 48
Battery B 434 50
Battery C 441 50
Battery D 295 37
O’BRIEN WRP - ZOOGLEA
Average ZMI
(#/mgVSS)
Range
(#/mgVSS)
Battery A 162 20-609
Battery B 256 13-857
Battery C 211 30-817
Battery D 82 9-332
-10
10
30
50
70
90
110
130
0
50
100
150
200
250
300
350
400
450
500
Battery A Battery B Battery C Battery D
Zoogle
a M
ass
Index
Comparison of Average Zooglea Mass Index (ZMI) with Sludge Volume Index (SVI)
0
20
40
60
80
100
120
140
160
180
200
Battery A Battery B Battery C Battery E1 Battery E2
Calumet - Zoogleal Mass
0
1000
2000
3000
4000
5000
6000
7000
8000
Battery A Battery B Battery C Battery E1 Battery E2
Calumet - Filament Count
A SIMPLE LABORATORY PROGRAM
• DEVELOPING THE HABIT OF
LOOKING AT THE
MICROORGANISMS ON A REGULAR
BASIS CAN BE HARD, PARTICULARLY
GIVEN TIME RESTRAINTS AND
DWINDLING RESOURCES.
• SOME OBSERVATIONS IS BETTER
THAN NO OBSERVATIONS AT ALL.
A SIMPLE LABORATORY PROGRAM
• IF YOU ONLY HAVE TIME TO LOOK
AT THE FLOC, THEN LOOK AT THE
FLOC; BUT BE CONSISTENT.
• IF YOU CHOOSE TO DO
PROTOZOAN COUNTS, BE
CONSISTENT.
A SIMPLE LABORATORY PROGRAM
• DO IT WEEKLY – EVERY WEEK, OR
DO IT MONTHLY – EVERY MONTH.
MOST OF ALL DO IT THE SAME
WAY EVERY TIME.
• THE MORE YOU DO IT THE BETTER
YOU GET AND THE EASIER IT WILL
BECOME.
FILAMENTOUS BACTERIA IDENTIFICATION
• FOR THE UNTRAINED
EYE, THOSE THAT
ARE IMPATIENT, OR
WHO DO NOT HAVE
TIME, IDENTIFYING
FILAMENTOUS
BACTERIA CAN BE
TEDIOUS AND TIME
CONSUMING.
FILAMENTOUS BACTERIA COUNT
• COLLECT A REPRESENTATIVE SAMPLE FROM THE DISCHARGE END
OF THE AERATION BASIN
• SPLIT A PORTION OF EACH SAMPLE FOR MLVSS ANALYSIS.
• EACH SLIDE USED FOR STAINING IS MARKED WITH 2 LINES
SPACED 2 CM APART USING A WAX PENCIL. THE WAX
MARKINGS SERVED AS A BORDER TO CONTAIN AND
CONCENTRATE THE SAMPLE WITHIN A FIXED AREA.
2 cm
Wax marks
FILAMENTOUS BACTERIA COUNT
• USING A PIPETTE, PLACE 200ΜL (4 DROPS)OF WELL
MIXED SAMPLE ONTO EACH MARKED SLIDE AND
SPREAD EVENLY WITHIN THE MARKED AREA.
• SET ASIDE TO DRY FOR 2 HOURS.
2 cm
Wax marks
FILAMENTOUS BACTERIA COUNT
• GRAM STAIN:
• CRYSTAL VIOLET – 1 MINUTE
• GRAM’S IODINE – 1 MINUTE
• DECOLORIZER – 25 SEC (OR UNTIL YOU NO
LONGER SEE STAIN RUNNING OFF)
• SAFRANIN – 1 MINUTE
FILAMENTOUS BACTERIA COUNT
• MAKE DUPLICATE SLIDES FOR EACH SAMPLE OF MIXED
LIQUOR AND SCAN AT 100X MAGNIFICATION USING OIL
IMMERSION SCANNING 3-5 PASSES PER SLIDE.
FILAMENTOUS BACTERIA COUNT
NUMBER OF INTERSECTS X 5 = FILAMENTS/ML
FILAMENTS/ML X 1000 = FILAMENTS/MGVSS
MLVSS
FILAMENTOUS BACTERIA IDENTIFICATION
• MAKE A SMEAR AND GRAM STAIN THE SLIDE.
• LOOK AT THE SLIDE USING THE OIL IMMERSION
LENS AND LOOK AT THE FILAMENT IDENTIFICATION
GUIDE AND FIND A MATCH.
• IF IT LOOKS LIKE THE PICTURE, THEN THAT IS
PROBABLY WHAT IT IS.
• IF THE FILAMENT IS IN THE LOW DO CATEGORY
THEN THAT CONDITION MOST LIKELY CONTRIBUTED
TO ITS GROWTH IN THE SYSTEM.
FILAMENTOUS BACTERIA IDENTIFICATION
• MAKE A SMEAR AND GRAM STAIN THE SLIDE.
• LOOK AT THE SLIDE USING THE OIL IMMERSION
LENS AND LOOK AT THE FILAMENT IDENTIFICATION
GUIDE AND FIND A MATCH.
• IF IT LOOKS LIKE THE PICTURE, THEN THAT IS
PROBABLY WHAT IT IS.
• IF THE FILAMENT IS IN THE LOW DO CATEGORY
THEN THAT CONDITION MOST LIKELY CONTRIBUTED
TO ITS GROWTH IN THE SYSTEM.