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By Sergio
Chaim
Now we'll really and finally see how to
size a trickling biofilter itself. Initially I'll
make a brief discussion of the factors affecting nitrifying
bacteria growth and later a somewhat extend discussion
of factors affecting biofilter performance and so used
for biofilter sizing.
Factors Affecting Nitrifying Bacteria
Growth.
Although there are several nitrifying
bacteria populations and species, each one having different
environmental requirements, that makes possible set
a biofilter for any water condition were fishes are
kept, the nitrifiers growth and/or rate of nitrification
are in large extent affected by ammonia level, pH, alkalinity,
temperature, dissolved oxygen, suspended solids, light
and salinity.
Ammonia.
Ammonia is the main bacterial growth limiting
factor in aquaculture biofilters. Research has shown
that ammonia removal rate raises as function of
increasing TAN concentrations up to around 2-2.5 mg
TAN per liter, when ammonia removal rate reaches a plateau
and further increases in effluent TAN do not cause any
significant increase in TAN removal rate (Greiner
and Timmons, 1998;
Kamstra et al. 1998). On the other hand,
Zhu and Chen (1999) estimated that for 27,2ºC
the mean minimum TAN concentration needed to keep nitrification
biofilm at health steady-state is 0.07mg TAN per liter.
pH.
Ebeling (no date) cites that optimum pH
range for nitrification is from 6 to 9.
Hochheimer and Wheaton (no date) mentioned "In
general nitrification is most efficient at pH levels
ranging from about 7.5 to 9. At higher pH ranges (8.5-9),
nitrification rates are fastest given sufficient ammonia.
However, at the low ammonia concentrations usually found
in aquacultural systems, operating at a pH of about
7 can be efficient." Both sources agree that to
maintain pH near the lower end will be helpful to avoid
ammonia stress on cultivated fishes.
Alkalinity.
The buffering capacity of an aquatic system,
also named alkalinity, is taken into account because
bicarbonate ions are consumed to neutralize acids generated
by oxidation of ammonia and by cell production.
A role-of-thumb is to add 0.25 kg of baking soda per
kilo of feed consumed.
"Rapid changes in pH over a few minutes
of more than 0.5 to 1 unit will stress the filter and
require time for adaptation to the new environmental
conditions." Ebeling (no date).
Temperature.
Nitrification is slower at lower temperatures,
just like happens in most chemical and biological kinetic
reactions, but as water temperature is determined by
the species being cultivated there is not too much we
can do. Usually nitrifiers show best growth at 20-30°C
range and lethal temperatures above 30°C.
Dissolved Oxygen.
Dissolved oxygen lower than 1 mg per liter
becomes limiting for nitrification so is recommended
that water entering a biofilter has at least 2 mg of
dissolved oxygen per liter (Hochheimer and Wheaton,
no date) or that the dissolved oxygen level of the discharge
from the biofilter should be at least 2 mg per liter
(Ebeling, no date).
Suspended Solids.
Suspended solids can be used by heterotrophic
bacteria as food and support the growth of these beings
that will compete with nitrifiers and fishes by the
oxygen in the system. Suspended solids can clog the
filter and obstruct water/ammonia/oxygen flow to nitrifying
bacterias. Also particles that reside in the filter
for extended periods can be used by nitrifiers for attachment
and these ones can perform a significant portion of
nitrification at expenses of those growing in media
surface. If the system is flushed these bacterias
are removed and filter efficiency will decrease for
some time.
Light.
Light is believed to oxidize cytochrome
C in nitrifiers. Like Nitrosomonas (bacterias that convert
ammonia to nitrite) has more cytochrome C than Nitrobacter
(bacterias that convert nitrite to nitrate) the later
ones are more sensitive to light effects.
Salinity.
Hochheimer and Wheaton (no date) cited
that freshwater nitrifiers are inhibited by saline water
but successful transitions can be achieved. Although
maximum changes of 5 ppt should not adversely affect
biofilter operation a gradual change in salinity over
several weeks is preferable.
5 - Biofilter Sizing.
5.1 – Water Turnover.
This is how many times whole aquarium
water content will be exchanged per unit of time, it
is expressed as exchanges per hour (exchanges/h).
I mean exchange rate in aquariums as linked
to water flow rate in the filter. Some systems are designed
with intermediary reservoirs between the rearing units,
screening units and the biofilter and/or with different
pumps between each component of the system. In my case
due financial limitations I plan use only one pump that
will drive all the system and only one small reservoir
below the filter so both exchange rate in aquariums
and the water flow rate in the filter will effect each
other. If you'll configure your system in a way that
there are independent pumps to drive water flow over
aquariums and filter you would set water turnover as
how many times the whole system water content will be
passed by the filter per hour.
Every time that water pass through a
trickling filter its ammonia content is decreased
and its oxygen content is increased, that's good, but
all this circulation must to be kept in such level that
do not decrease the growth of fishes due excessive expenditure
of energy in swimming activity.
Kaiser & Vine (no date) observed an
"optimum" exchange rate of
3 exchanges/h for growing guppies.
Kaiser et al. (1998) studied the effect
of stocking rate (2 or 20 guppies per liter) and water
exchange rate (0.25, 2 or 6 exchanges/h) on diurnal
water-quality fluctuations in a closed recirculating
system. They found: (1) Survival rates were not effected
by flow rate or stocking rate during this experiment
which was carried out for 6 weeks; (2) fish kept at
lower stocking rate had significantly higher average
weight and length gains than fish kept at the high stocking
rate; (3) at 6 turnovers per hour ammonia levels remained
constant and stocking rate had no effect on average
ammonia levels; (4) nitrite levels did not differ between
either the time of the day or the stocking rate or water
exchange rate; (5) oxygen increased significantly in
the afternoon at lower exchange rates at both stocking
rates, dissolved oxygen level was significantly effected
by stocking rate at these lower exchange rates and there
was an overall tendency for lower oxygen levels at lower
exchange rates; (6) pH followed the tendencies described
by oxygen levels; and (7) temperature increased at afternoon
at all stocking rates and at all exchange rates.
When reading this article mentioned above
I figured on my guppies like that mad laboratory mice
running all the time inside wheels. Nicoletto (1996)
carried out an experiment to determine if different
water velocities during ontogeny affect male physical
condition, male signal intensity and female mating preferences
in the guppy. He raised wild-caught guppies in 20 gal
aquariums containing a powerhead which pumped 1.5 or
4.5 liter per minute or like 1.19 or 3.57 exchanges/h,
respectively, and always fed in excess. The observed
results shown that high velocity males had longer mean
displays, spent more total time displaying, had faster
swimming speeds, had wider caudal peduncles and were
more attractive to females than low velocity males,
but there was no differences in display rates, body
widths, standard lengths or copulation attempts. The
author justified his findings as caused by the increased
muscle development of males raised in high water velocities.
In short, we should use exchange rates
between 3 to 6 exchanges per hour. I'll set my water
turnover at 3 exchanges per hour.
5.2 - Media Specific Surface Area.
This is the amount of superficial area
made available for nitrifiers to attach per unit of
media volume, it is expressed as m² of surface
area per m³ of media (m² surface area/m³ media).
Here is the point were you will choose
the filter media. Media specific surface area is the
most important factor to be taken into account when
choosing the media to be used in your filter but is
not the only one. For an review on this topic I recommend
you to take a look at http://www.biofilters.com/webreview.htm.
Last years I had saw an increasing use
of porous filter media in aquariums and since they provide
an enormous surface area per unit of volume they were
my first choice until I saw this statement by Hochheimer
and Wheaton (no date): "Media in working biofilter
becomes coated with a biofilm, resulting from the growing
bacterial population. The two components where mass
transport became important are within the biofilter
(transfer of substrate(s) to the surface of the biofilm)
and them within the biofilm. Getting substrate to the
surface of the biofilm is associated with concentrations
of the individual substrates in the culture system water
and movement of the water through the biofilter. Work
from Hochheimer (1990) indicates that ammonia
concentrations are too low to be influenced by diffusion
in the water flowing through the biofilter. Physical
mass transport of the ammonia then becomes the dominant
factor in determining availability of ammonia to the
nitrifying bacteria. The other substrates (oxygen and
alkalinity), if kept at recommended levels, are dominated
by diffusion." My intention is not to fire any
manufacturer/seller of porous media, but I understood
that as media becomes coated by biofilm water would
no longer have a free passage through internal porous
structure. Even if there were no biofilm coating the
media, all porous media I already saw have so small
holes that I don't think they would allow water to pass
trough them to support bacterial growth in inner structure.
For a while I chose to use 16 mm diameter corrugated
PVC tubing/ducts made to protect/install electric wires
inside walls , in Brazil its brand name is Conduite®
and they look like
Trickle Filter Media - RMP® sold by Aqua Systems
Uk Ltd.. Sixteen millimeters Conduite® provides
around 500 m² of surface area/m³ of media and
I plan to cut it in pieces of 1/8 to 1/10 of filter
diameter. I read somewhere that filter media diameter
would be 1/8 of filter diameter to allow its better
placing but I could not find this reference again...
5.3 - Hydraulic Loading Rate.
This is the amount of water pumped through
the filter per unit of cross sectional area of
the filter per unit of time, it is expressed as m³ of
water per m² of filter cross sectional area per day
(m³ water/ m² filter cross sectional area/d).
Kamstra et al. (1998) named this parameter
as "hydraulic surface load".
Like I already said above media surface
must to be wet to becomes functional, so you must pump
through the filter an amount of water enough to keep
all media wet but not so much that causes biofilm scouring
and/or flood the filter filling its void space with
water, that should be used by air for circulation, in a way it works like a submerged filter.
Basically minimum and maximum hydraulic
loading rates required by a media type for proper biofilm
growth are a function of its specific surface area,
void space and shape. Usually media manufacturers will
provide data on recommended minimum and maximum hydraulic
loading rates.
Hochheimer and Wheaton (no date) suggested
to use for design purpose 50 and 300 m³ water/
m² filter cross sectional area/d as minimum and maximum
hydraulic loading rates, respectively. On the other
hand several authors had reported increases in nitrification
rates due increases in hydraulic loading rates but would
there be an upper limit for this correlation .
Greiner
and Timmons (1998),
that is the main source I'll use to predict ammonia
removal rate, observed no significant effect of hydraulic
loading rates between 469 and 1231 m³ water/ m² filter
cross sectional area/d on nitrification rate. They used
a media they spelt as Norpak® having an specific surface
area of 164 m² surface area/m³ media and 5.1cm diameter.
I did a search in the web to see how this stuff looks, but all I found was another media spelt as Nor-pac®,
produced by the same company, but I don't think they
have the same shape because last one when having 5.1cm
or 2" diameter provides only ~125 m² surface area/m³ media.
Kamstra et al. (1998), that is a secondary
source I'll use to predict ammonia removal rate, observed
that trickling filters of eel farms filled with Munter's cross-flow media (234 m² of surface area/m³ of media)
achieved higher ammonia removal rates and that they
were operated at higher loading rates (200-800 vs. 50-400
m³ water/ m² filter cross sectional area/d) than filters
using another types of media.
This later reference also stated that "The effect of the filter medium configuration
on nitrification has been well documented (Keümer
and Rosenthal, 1993; Parker and Merrill, 1984; Richards
and Reinhart, 1896; Harrison and Daigger, 1987) and
it is generally concluded that cross-flow media perform
better than vertical-flow and random-flow media. This
effect is attributed to differences in hydraulic and
wetting characteristics between media, resulting in
differences in water retention time. In our study, the
cross-flow media (Munter's)
shows a superior performance compared to vertical-flow
(Bionet) and the random-flow medium (Filterpak), which
is in agreement with the literature mentioned above."
Just as fast as I read it I gave up to cut Conduite® in small pieces (random-flow) but to cut it in larger
pieces and to glue it meet Munter's
like configuration.
I'll set a hydraulic loading rate of 500
m³ of water/ m² of filter cross sectional area/d just
above minimum hydraulic loading rate estimated in item
5.3.1 just below.
5.3.1 - Minimum Hydraulic Loading Rate.
Like I'll use a media that has 2 or 3
fold more specific area than media used in experiments
I took as references and like I plan use something that
is not a biofilter media itself, so I can't call the
manufactures to ask it about its minimum and maximum
hydraulic loading rates, I'll use this parameter to
make sure that all this surface available for bacteria
attachment will be in proper condition to be colonized.
From data shown in L.
S. Enterprises site, Sizing a biofilter
- item # 8, I estimated this model represented below
(y = 10.394 * x ^ 0.6143; r² =0.999) and I'll use it
to suggest a minimum hydraulic loading rate, as function
of media specific surface area, for the media I chose.
Figure 1 - Relationship between Media
Specific Surface Area and Minimum Hydraulic Loading
Rate.
Data adapted from L.
S. Enterprises . 
5.4 - TAN Concentration in Biofilter
Influent Water.
This is the expected TAN concentration
in water entering the filter (influent), it is expressed
as milligram per liter (mg TAN/l).
It was observed by several researchers
that ammonia concentration in the influent water effect
nitrification rate but to understand a scientific model
for ammonia concentration forecasting (Gutierrez-Estrada
et al. 2004) has proven to be a challenge
for me.
Gujer
and Boller (1986) and
Nijhof (1994) also developed models intended
predict the behavior of biofilters but I had no access
to these articles.
In short I'll use an alternative way
that was proposed by Hochheimer and Wheaton (no date).
They estimated TAN concentration dividing average hourly
ammonia load by the volume of water in the system and
the estimated filter exchange rate. This estimative
assumes that all ammonia produced per hour is
consumed in one hour by the filter, I'm not sure about
it, but like I'm working with an ammonia concentration
that is much lower than ones I found in literature and
with higher turnover rates I think I have a good safety
margin.
5.5 - TAN Conversion Rate.
This is the amount ammonia oxidized per
unit of space available for bacterias colonize per unit
of time, it is expressed as grams of TAN per m² of media
surface per day (g TAN/m² media surface area/d).
Here we have basically two alternatives:
The first and easiest alternative is just to get a value
for TAN conversion rate from the literature and type
it in appropriate cell, the second way is to use models
developed by scientists. If you set any number different
than zero at the above mentioned cell the spreadsheet
will straightly take this TAN conversion rate to size
the biofilter, if you keep the zero at this cell the
spreadsheet will use smaller TAN conversion rate among
the two estimative models I proposed.
5.5.1 - TAN Conversion Rate - Literature
Chose Data.
(Ebeling, no date) mentioned that for
a trickling filter operated at 15 to 20ºC we could
expect a conversion rate of 0.2 to 1.0 g TAN/m² media
surface area/d and for filter operating at 25-30ºC could
reach 1.0 to 2.0 g TAN/m² media surface area/d.
Hochheimer and Wheaton (no date) used
data from Wortman (1990) and/or Gujer
and Boller (1986) to estimate TAN conversion
rates.
Greiner
and Timmons (1998) observed conversions of
0.94 to 3.92 g TAN/m² media surface area/d for
TAN influent concentrations between 0.81 and 4.63 mg
TAN/l, Norpak® media, hydraulic loading rates between
469 to 1231 m³ water/m² media surface/d, average influent
water temperature of 26.4ºC, dissolved oxygen greater
than 5 mg/l, pH of 6.7, total suspended solids of 6.4
mg/l and an alkalinity of 90 mg/l.
There are several other sources in literature
where you can get experimental data on TAN conversion
rates for different water parameters and filter/system
configurations. I just took three...
5.5.2 - TAN Conversion Rate - Greiner
and Timmons Data.
Greiner
and Timmons (1998) calculated the linear
regression below to predict ammonia removal rate. the conditions for/from what this model was developed
were mentioned just above in item # 5.5.1.
R= k1*C1 for C1 < 2.5 mg TAN/l
R² = 0.90
Where: R = ammonia-nitrogen oxidation
rate (g/m²/d); C1 = ammonia-nitrogen influent concentration
(mg/l) and k1 is a constant equal 1.43 for trickling
biofilters (SEcoeff = 0.108; R² = 0.58 and n = 11).
This model uses a constant that I should
call "filter specific rating" and may be it
would not be repeated at every filter. I understood
from their work that the main factor affecting the performance
of their filter was credited to the hydraulic loading
rate so I advice you to be careful when estimating/setting
it.
5.5.3 - TAN Conversion Rate -
Nijhof Data.
Nijhof (1994), cited by
Kamstra et al. ( 1998),
developed the model below:
R1 = a * square root ([NH4-N]) - 0.01 (Eq. 1)
Where: R1 = intrinsic ammonium removal
rate (g /m²/d); [NH4-N] = ammonium concentration in
influent (mg/l) and a = a coefficient depending on external
variables (m/d).
a = 0.000781H + 0.2
Where: a = coefficient from Eq. 1 and
H = hydraulic load of the filter: flow/cross-sectional
area (m/day).
I thought these units are somewhat strange
but you can be sure I typed it exactly like it was published
and I do not know about any errata for this article.
Also, like I had no access to a full copy of
Nijhof (1994), I don't know for what
conditions this model was calculated but this model
was tested by Kamstra
et al. ( 1998) who concluded that this model "...gives an adequate prediction of these filters
when the effect of the filter medium on nitrification
is taken into account." I also suppose that this
model was developed taking into account water temperature
around 20-25°C, that is about the lower range we raise
guppies.
5.6 - Media Surface Area Needed for
Biofilm Attachment.
This is the amount of biofilm surface
area demanded to convert the ammonia produced in our
system, it is expressed as square meter (m²).
Once we have an estimative of ammonia
production and TAN conversion rate if we divide the
former by the later we'll now how many meters of surface
we'll need to get rid all ammonia produced in the system.
I estimated surface area needed for biofilm
attachment as ~ 28 m².
5.7 - Volume of Media.
This is the volumetric amount of filter media we'll place in the filter to provide the
media surface area need for biofilm attachment, it is
expressed as liter (l).
Having an estimative of media surface
area need for biofilm attachment and the amount of surface
area provided per unit of media volume we divide them
and we'll know how much media volume we'll need to oxidize
ammonia.
I estimated volume of media as ~ 56 l,
that is around the average 5-15% of system size estimated
by several authors. Sincerely I expected that since
we are working with relative low stocking rates (2 kg
of fish/m³ of water versus up to 150-200 kg of fish/m³
of water for most food fishes) we could use much
smaller filters, I mean filters representing a smaller
percentage/part of the system. But looks that our small
guppies demand so many space to live that TAN concentrations
in their water becomes too low, thus decreasing nitrification
rates in a very large extent.
5.8 - Biofilter Cross-Sectional Area.
This is the top cross-sectional area of
our biofilter, it is expressed in our case as square
centimeter (cm²).
Well, we know how much water will pass
by the filter per day (total volume of water in our
system X water turnover per hour X 24 hours in a day)
and how much water should pass by every unit of filter
top area to keep media properly wet (hydraulic loading
rate), so dividing the former by the later we get an
estimative of filter cross-sectional area which we can
manage with a proper flow of water over media.
I found that my filter should be ~ 806
cm² in top area.
5.9 - Biofilter Diameter.
This is the diameter of the media holding
vessel, biofilter, it is expressed as centimeters (cm).
Once we know the top area of our filter
(biofilter cross-sectional area) we can reach biofilter
diameter using the classical formula for circumference
area (area = π
r²).
I estimated that my filter should have ~ 32 cm diameter.
5.10 - Biofilter Height.
This is how tall our biofilter should
be, it is expressed as centimeters (cm).
We know how much media our filter should
hold (volume of media) and its top area (biofilter cross-sectional
area), so dividing them we get biofilter height.
I sized a biofilter that is ~ 70 cm tall.
5.11 - Media Surface Loading Rate.
This is the amount of water loaded per
unit of surface area available for bacterial growth
provided by filter media, it is expressed as m³ of water
per m² of media surface per day (m³ water/m² media surface/d).
Sometimes filter wall area is also included in its calculation
but I simply give up this, I took the nitrification
occurring in filter wall as a "safety factor". Kamstra
et al. ( 1998) named this parameter as "hydraulic
biofilm load".
Media surface loading rate is a parameter
designed to catch the relationship between hydraulic
loading rate and media specific surface area. The
idea behind this number is give you an estimative of
how much water you can make pass by your filter without
causing biofilm scouring based on data already reported
by researchers, it could be somewhat understood
as "possible hydraulic loading rate".
Greiner
and Timmons (1998) stated that the nitrification
rates they observed were much higher than nitrification
rates reported by another authors and that it could
be an effect of the high hydraulic loading rates they
used in their study. They wrote: "The trickling
filters in this study operated at media surface loading
rates of 9-24 m³/m² of media/day ... These high
hydraulic loading rates would have eliminated any substrate
feeding limitations or lack of oxygen for the biofilm
in the present study."
Kamstra et al. ( 1998) also observed that
filters having Munter's media also operated at higher media surface loading
rates than other filters, 1.1 to 4 and 0.1 to 0.9 m³
water/ m² media surface area/d, respectively. I found
a media surface loading rate of 1.43 m³ water/m² media
surface area/d for my filter.
5.12 - TAN Loading Rate.
This is the amount of Total Ammonia
Nitrogen (TAN) loaded per unit of surface area available
for bacterial growth provided by filter media, it is
expressed as g of TAN per m² of media surface per day
(g TAN/ m² media surface/d).
Gujer
and Boller (1986) and
Nijhof (1994) used a parameter like
this one intended to catch the effects substrate load
per unit of area available for bacterias growth
on the nitrification rate (Kamstra
et al., 1998). Most sources I consulted had
strongly pointed about the substrate limiting effect
on the performance of biofilter designed for aquacultural
purposes but, as far as I know, they usually did not
clearly studied the effect of TAN loading rate on nitrification
rates. Only Hochheimer (1990) and
Kamstra et al. ( 1998) did some studies
on this topic. I had no access to Hochheimer (1990)
work.
In a careful reading of
Kamstra et al. ( 1998) I was not able to
exactly determine what they called "total ammonium" and
they noted as NH4-N. Here we come again with the already
mentioned mess on nitrogenous compounds nomenclature...
But it is not vital for the point I would like discuss.
Most people performing research in this area, see that
as much ammonia we make available for every space unit
of biofilm higher will be its nitrification rate, up
to a certain filter/system/bacteria population intrinsic
value. So they see two ways we can increase nitrification
rates: (1) increasing water flow through the filter,
since we do not cause biofilm scouring, and/or (2) increasing
waste level in the water, this is a way I do not want
to think about.
Figure 2 - Relationship between the observed
Ammonium Loading Rate and the observed Ammonium Removal
Rate.
From Kamstra
et al. ( 1998) .

5.13 - TAN Conversion Rate.
Kamstra et al. Data.
This parameter is calculated from equation
presented in figure 2. It is being presented to help
you figure about the effects of both hydraulic
loading rate and TAN concentration in the water on nitrification
rate. Finally...
Only one last opinion...
Like I stated since I began this is a
filtration method that was not fully tested and proved
for guppies so I strongly suggest you to be careful
when sizing and running a biofilter, read/ask/learn
as much as you can about it before you take any decision
and Good Luck!!!
Further References.
Ebeling, J. M. No date.
Biofiltration. AES Workshop: Intensive Fin-Fish Systems
and Technologies. p 47-56.
Harrison, J .R. and
G. T. Daigger. 1987. A comparison of trickling
filter media. J. WPCF 59 (7), 679–685.
Hochheimer, J. N. 1990.
Trickling filter model for closed system aquaculture.
Unpublished Ph. D. Dissertation.
University of Maryland. College Park, MD.
Hochheimer, J. N. and
F. W. Wheaton. No date. Biological filters: Trickling
and RBC design. p 291-318.
Kaiser, H., Paulet,
T. G. and F. Endemann. 1998. Water quality fluctuations
in a closed recirculating system for the intensive culture
of the guppy, Poecilia reticulata (Peters). Aquaculture
Research 19:611-615.
Kaiser, H. and N. Vine. No date. Investigations
into the growth, survival and fin quality of guppy,
Poecilia reticulata, at different stocking densities.
p161-168.
Nicoletto, P. F., 1996. The influence
of water velocity on the display behavior of male guppies,
Poecilia reticulata. Behavioral Ecology 7(3):272-278.
Parker,
D.S. and D. T. Merrill. 1984. Effect of plastic media
configuration on trickling filter performance. J. WPCF
56 (8), 955–961.
Richards,
T. and D. Reinhart. 1986. Evaluation of plastic media
in trickling filters. J. WPCF 58 (7), 774–783.
Wortman,
B. 1990. Effect of temperature on biodrum nitrification.
Unpublished M. Sc. Thesis. University of Maryland. College
Park, MD. |