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CHAPTER ONE
INTRODUCTION
1.1 Background
Aquaculture can be described as the cultivation and harvest of aquatic plants and
animals of which the fish culture is most common in Nigeria. There are however,
three categories of fish culture systems; open, semi-closed and closed systems. Open
system culture refers to fish farming in surface water bodies like rivers, lakes, seas
etc. Semi-closed systems refer to culture system in which water enters the culture
unit once and is discharged after use. Closed systems are aquaculture systems where
water is reconditioned and recycled into a culture unit. Some aquaculture methods
require much more water than others. In which ever method used, a large quantity of
effluent containing pollutants that are hazardous to the fish environment is produced.
For the open and semi-closed systems, pollutant laden effluent is naturally
remediated while for the closed system it needs appropriate measures for
remediation.
Nigeria is one of the largest fish consumers in the world with over 1.5 million tonnes
of fish consumed annually as she imports over 900,000 metric tonnes of fish and while
her domestic fish catch is estimated at 450,000 metric tonnes/year (Jim 2003, Ezenwa
and Anyanwu, 2003). The over dependence on imported fish has adversely affected
her economy and mostly foreign reserves (Davies et al. 2008). Adebayo and Adesoji
(2008) inferred that since fish supplies from open water and lagoons continue to fall
and human population rise, fish farming will present an effective way of generating
food and income from declining land spaces.
1
The commercial fish farming in Nigeria is done more in semi-closed concrete or
plastic tanks, dug-out ponds, etc. especially in areas where influent water is not
limited. Effluents from semi-closed systems are usually discharged in the open or dug-
out pits which pollute the surface and groundwater.
The treatment of aquaculture effluent especially of the closed system type is
necessary because, in many areas, water is a limited resource and depending on the
receiving water body, the total mass loading of nutrients from effluents can
contribute to significant environmental degradation (Adler et al. 2000 and Redding et
al. 1997). Closed recirculating aquaculture systems are usually used where new
water supplies are limited or expensive (i.e. high pumping or treatment costs), the
possibility of introducing pathogens or contaminants into the system with influent
water is high, effluent disposal capacity is limited, or where the operators want to
practice strict control over water quality and temperature within the fish culture
system (Lawson, 1997).
(Huguemin and Colt, 1989) reported that the universal attribute of closed aquaculture
system is that fishes are restrained at high densities. Normal culture is 61-122 kg/m3,
but densities even in some small scale experimental systems are beyond 545 kg/m3.
1.2 Treatment Processes for Recycling Effluent
The major treatment processes used in recirculating systems are screening, settling,
granular media filtration, biological filtration, aeration and disinfection. Solids in
effluents are usually eliminated using screening, sedimentation and granular media
filtration.
2
Biological filtration is the heart of any recirculating aquaculture system and is used for
nitrogen control (i.e. ammonia and nitrite). It is the technique that makes use of living
organisms to remove a substance from a liquid solution and systems which utilize
algae and higher green plants to filter water are usually in closed method hydroponic
systems.
Hydroponics can be defined as the cultivation of plants in nutrient enriched water
without soil or with the support of a medium such as gravel, Rockwool, perlite etc.
The plants roots are placed on this medium which is completely inert to support the
plant and the root from being constantly immersed in water or nutrient solution, and
also access to oxygen. Plants growing in hydroponic chambers receive their nutrients
from the nutrient solution for healthy growth. In temperate regions, people can
cultivate some of their vegetables all year round in indoor hydroponic gardens
(www.myhydroponicgarden.net).
1.3 The Use of Aquatic Plants for Water Treatment
The conventional wastewater treatment plants of activated carbon, electro
dialysis, ion exchange, reverse osmosis etc. are expensive to install, operate and
maintain especially in developing countries like Nigeria, hence, the use of aquatic
macrophytes for wastewater purification is a viable alternative. Aquatic
macrophytes enhance wastewater treatment by acting as a medium for bacterial
growth, by filtering/adsorbing suspended particulate matter and removing
inorganic nutrients from the wastewater (Sooknah and Wilkie, 2004). Some
aquatic macrophytes have been successfully used for effluent treatment (Jung
2002 and Snow and Ghaly 2008b).
3
Common examples of these aquatic macrophytes in Nigeria include; water
hyacinth, water lettuce, water lily, duckweed, ferns etc.
Water Hyacinth (Eichornia Crassipes) is a common tropical aquatic plant found
in most fresh water bodies. According to www.aquaplant.com, it is a free floating
perennial plant that can grow up to a height of 91.5 cm. The dark green leave’s
blades are circular to elliptical in shape attached to a spongy, inflated petiole.
Underneath the water surface is a thick, heavily branched, dark fibrous root
system. It has striking blue to violet flowers located on a terminal spike. It is a
very aggressive invader and can form thick mats which can cover the entire
surface of a pond frequently, causing oxygen depletion.
In nutrient rich waters, such as polluted ponds or lakes for instance, the report
shows that the plant can grow so quickly that the surface covered by the mats
doubles every 4-7 days (www.idrc.ca/fr/ev).
Water hyacinth obtain their nutrients directly from the water and have been used
for wastewater treatment facilities. He further reported that they prefer to grow
most prolifically in nutrient-enriched waters (Grodowitz, 1998).
Jung (2002) in his report concluded that wastewater drain from livestock farms
contained large quantities of nitrogen, phosphorus and soluble inorganic
compounds which are difficult to remove by conventional cleaning treatment such
as filters. They can be effectively removed by plants, particularly water hyacinth
and water dropwort.
4
Grodowitz (1998) stated that with the increasing popularity of water gardening
and home ponds, water hyacinth is now sold by many Washington (US) nurseries
for its unusual appearance, attractive flowers and ability to remove nutrients from
the water.
Another commonly used aquatic plant for water treatment is the Duckweed
(Lemnaceae sp.). Ruenglertpanyakul et al. (2004) inferred that duckweed has a
high capacity to adsorb nutrients from water and it is easy to manage in the ponds
because of its small size and is highly productive with high protein content when
cultivated in nutrient-rich water and has potential as fish food in the development
of a low-cost aquaculture system. Skillicorn et al. (1993) reported that duckweed-
based wastewater treatment systems provide genuine solutions to such problems.
They are economical to install, operate and maintain. They do not require
imported components. They are functionally simple, yet robust in operation; and
they can provide tertiary treatment performance equal or superior to conventional
wastewater treatment systems now recommended for large-scale applications.
The report also indicated that duckweed wastewater treatment systems remove, by
bioaccumulation, as much as 99 percent of the nutrients and dissolved solids
contained in wastewater.
1.4 Theoretical Development
1.4.1 Nitrogenous Toxins in Aquaculture
The accumulation of some nitrogenous compound in a closed aquaculture system
such as un-ionized ammonia (NH3), ionized ammonium (NH4+), nitrite (NO2
-),
and nitrate (NO3-) are of great interest. Lawson (1997) reported that, the major
forms of nitrogen and their effects in aquaculture systems are as follows:
5
Table 1.1 Major Forms of Nitrogen and their Effect on Aquatic life
Forms Effects
Nitrogen gas (N2) Inert gas with no significant effect. Organic nitrogen Decays to release ammonia.
Un-ionized ammonia (NH3) Highly toxic to aquatic animals.
Ionized ammonium (NH4+)
Non-toxic to aquatic animals except at very high concentrations.
Total ammonia (NH3 + NH4+) Converted to nitrite by nitrifying bacteria.
Nitrite (NO2-)
Highly toxic to aquatic animals; converted to nitrate by nitrifying bacteria.
Nitrate (NO3-)
Non-toxic to aquatic animals except at very high concentration; readily available to aquatic plants.
6
Fish feeds and the metabolic wastes of the fish which causes water quality
degradation are the main sources of Nitrogen. Such wastes include ammonia,
urea, CO2, organic faecal material etc. The organic faecal material is further
degraded to produce additional ammonia, nitrites (NO2-) and nitrates (NO3). These
substances depress water pH, increase turbidity, deplete dissolved oxygen, and
make the water more toxic to the fish. The more severe the culture practice, the
greater the impact and the rate of waste production in an aquaculture system. It
also depends on the fish species, life stage, system biomass and the type and
amount of feed given to the fish. The gills of the fishes excrete un-ionized
ammonia (NH3) which is quickly absorbed by phytoplankton and aquatic plants.
According to Tucker and Robinson (1990), ammonia is not a problem in fish
ponds having good phytoplankton bloom, but can be problematic in ponds if the
feeding rate exceeds 56kg/ha/day. When the amount of ammonia released is more
than the plant requirement, the excess is oxidized by nitrifying bacteria.
1.4.2 Toxin Kinetics
Nitrification can be defined as the oxidation of ammonia to nitrate with nitrite
formed as an intermediate product. The conversion of ammonia to nitrate is an
aerobic process. Denitrification occurs when anaerobic conditions develop and
nitrate is converted back to ammonia.
7
Painter (1970) reported at least five types of bacteria capable of oxidizing
ammonia to nitrite which were Nitrosomonas, Nitrosococcus, Nitrosospira,
Nitrosocystis and Nitrosogloea, of which, Nitrosomonas was the most valid and
two of its major species were Nitrosomonas europea and Nitrosomonas
monocella.
Nitrification is a two-stage aerobic process. The first stage is the conversion of
ammonia to nitrite by Nitrosomonas bacteria (USEPA, 1975 and WPCF, 1983)
The chemical reaction is shown by the equation (1)
NH4+ + 1.5O2 → 2H+ + H2O + NO2 (1)
The oxidation of nitrite is a single-step process that uses oxygen from water to
form nitrate and only molecular oxygen as an electron acceptor (Atlas and Bartha,
1987). The chemical reaction is shown in equation (2)
NO2 + 0.5O2 → NO3 (2)
For closed recirculation system, oxygen is limited and there is the possibility of
nitrite accumulation. Oxygen is slightly soluble in water and causes a slow rate of
diffusion of atmospheric oxygen into water and so water contains only small
amount of dissolved oxygen available for the respiration of aquatic life.
Nitrification requires oxygen and this process is very efficient when dissolved
oxygen is near saturation. When dissolved oxygen level declines as a result of
nitrification, the behavioral and physiological responses of the fishes change.
They become less active and can stop feeding in other to conserve energy and
their remaining metabolic oxygen (Tucker and Robinson, 1990).
8
If dissolved oxygen level continues to decline, the fishes may die. The chemical
reactions in Equations 1 and 2 release energy that is used by Nitrosomonas and
Nitrobacter to produce new cell growth. Since nitrification is an acid-forming
process, water in closed systems are buffered to prevent a decline in pH.
1.5 Definition of Problem
As reported by Tchobanoglous et al. (2003) the percentage of freshwater in the
world is about 3% and its depletion by continued population growth, uneven
distribution of water resources have necessitated the search for new sources of
water supply, contamination of both surface and groundwater by human activities,
while ensuring water conservation and an efficient re-use of the existing water
supplies. In developed countries, the re-use of treated effluent from municipal
wastewater treatment plant is considered as a reliable water resource.
Phosphates and nitrates are among the major pollutants in these wastewaters.
They can cause algal bloom which depletes dissolved oxygen and affects aquatic
life. Nitrates are very soluble in water and its leaching into surface and
groundwater can cause severe impact on potable water quality. Referral to
www.dnr.state.wi.us/org, infants who are fed with water or formula made with
water that is high in nitrate can develop a condition that is known as
Methemoglobinemia in medicine. People who have heart or lung disease, certain
inherited enzyme defects, or cancer may be more sensitive to the toxic effects of
nitrate than others.
9
In developing countries like Nigeria, the method of controlling ammonia and its
by-product is a limiting factor for a successful commercial aquaculture. The
technology for an advanced biological treatment of fish tank effluent is
uneconomical and also the complex nature of the nitrogen cycle to local fish
farmers has caused the disposal of aquaculture wastewater indiscriminately or
unprofessionally, thereby increasing the concentrations of ammonia, nitrites,
nitrates and other contaminants in surface and groundwater above the permissible
level. The ineffectiveness of relevant regulatory agencies contributes to the non-
compliance of the approved standards for wastewater disposal and so the
attendant effect as a result of these could cause an epidemic.
1.6 Justification
Some aquatic macrophytes have revealed potentials of nutrient removal from
different types of wastewater. The comparative assessment of nature’s
phytoremediation rates by some tropical aquatic macrophytes in aquaculture
effluent is what this work is focused on.
This assessment will help in recommending a more suitable aquatic plant to be
used for biological filtration. The use of aquatic plants for the purification of
aquaculture effluent will be a viable alternative to conventional wastewater
treatment plants. The advantage of using aquatic plant for purification is that the
water resources are conserved as the environment is naturally controlled by the
plant creating a mutually beneficial, symbiotic relationship with the aquatic
animal.
10
This research is multidisciplinary and its findings will help aquaculturists,
wastewater managers, environmentalists etc. in the design, construction and
management of water resources for commercial aquaculture, farms, domestic and
municipal supplies. Aquatic plants while being used for wastewater treatment can
also be harvested, dried and used as mulch, briquettes, feeds for livestock etc.
1.7 Objectives
• determine the nutrient level of an aquaculture effluent.
• evaluate and record the phytoremediation rates of the selected aquatic
macrophytes.
• compute and compare the effects of retention times on phytoremediation rates
with two-way analysis of variance (ANOVA) at 95% confidence level using
Excel spreadsheet.
1.8 Scope of work
This research project is focused on the reduction of nutrient/pollution load of the
aquaculture effluent in the hydroponic units using aquatic macrophytes which are
water hyacinth (Eichornia crassipes), water lettuce (Pistia stratiotes), and
morning glory (Ipomea asarifolia).
The selected pollutants measured are Total Suspended Solids (TSS), Total
Dissolved Solids (TDS), Ammonium-nitrogen (NH4+-N), Nitrite - nitrogen (NO2
--
N), Nitrate-nitrogen (NO3--N), Orthophosphate-phosphorus (PO4
3--P), Chemical
Oxygen Demand (COD), pH, and Electrical Conductivity (EC).
11
CHAPTER TWO
LITERATURE REVIEW
2.1 Wastewater Treatment
The importance of water as a global resource for human life is irrefutable. It
follows then that the need to manage and protect this resource has been
recognized for centuries, such that it is now a conservation priority the world
over. Advancements in the efficiency, convenience and sanitation of human
society have owed directly to the development and distribution of large-scale
dependable supplies of high-quality potable water (Oswald, 1988b).
Unfortunately, these same developments have also allowed for the convenient
aqueous disposal of objectionable, infectious and toxic wastes away from their
points of origin and, most commonly, into the nearest natural body of water
(Oswald, 1988b; Shiny et al., 2005). It is this aqueous waste, or ‘wastewater’, and
the processes involved with its remediation that form the basis of this project.
A prominent threat to global water quality in general is its contamination with
human derived wastes of residential, industrial and commercial origins. This is
particularly the case for freshwater resources, where human-derived wastewaters
are one of the major sources of contamination and pollution (Craggs et al., 1996).
In recent times, a general decline in environmental water quality—a consequence
of anthropogenic interactions—has given rise to significant environmental
problems and public health concerns (Hoffmann, 1998). These pollution-
associated issues have, therefore, justifiably received increasing levels of
attention, to the extent that they are nowadays of major concern to modern society
(de la Noüe et al., 1992).
More recently, the application and enforcement of environmental laws governing
wastewater and its discharge has become increasingly more stringent due to
heightened public pressure as well as inputs from concerned governing bodies and
agencies (Middlebrooks et al., 1974; de la Noüe et al., 1992).
12
This increased regulatory pressure has served as the historical driving force
behind initial changes to waste water treatment technologies and indeed general
waste treatment philosophy (Middle brooks et al., 1974) and will no doubt
continue to drive process and technological advancements into the future, or as
long as the pollution-associated problems remain. This has however triggered the
use of alternative methods for the treatment of effluents of which
phytoremediation using some aquatic macrophytes such as water hyacinth, water
lettuce, fern, duckweed, and recently morning glory is a latest economic trend.
Snow and Ghaly (2008) used aquatic macrophytes such as water hyacinth, water
lettuce and parrot’s feather plants to examine for their abilities to remove
nutrients from aquaculture wastewater at two retention times. During the
experiment, the aquatic plants grew rapidly and appeared healthy with green
color. At hydraulic retention times (HRTs) of 6 and 12 days, the average water
hyacinth, water lettuce and parrot’s feather yields were 83, 51 and 51 g (dm) m-2
and 49, 29 and 22 g (dm) m-2, respectively. The aquatic plants were able to
significantly reduce the pollution load of the aquaculture wastewater. The TS,
COD, NH4+-N, NO2
--N, NO3--N and PO4
3--P reductions ranged from 21.4 to
48.0%, from 71.1 to 89.5%, from 55.9 to 76.0%, from 49.6 to 90.6%, from 34.5 to
54.4% and from 64.5 to 76.8%, respectively. Generally, the reductions increased
with longer retention times and were highest in compartments containing water
hyacinth followed by compartments containing water lettuce and parrot’s feather.
In terms of COD, NO3--N and PO4
3--P, the effluent leaving the hydroponics
system was suitable for reuse in aquaculture. However, at the end of the
experiment it was inferred that effluent had slightly high levels of TS, NH3-N,
NO2--N and pH.
13
Ajayi and Ogunbayo (2012) investigated the effectiveness of water hyacinth in
wastewater treatment. After a 5-week simple experiment, in which water
hyacinths were planted in wastewater samples obtained from three different
industries, the average removal of pollutants were found to be 53.03%, 64.41%,
65.4%, 47.22%, 94.67% and 30.30% for Total Suspended Solids (TSS),
Biochemical Oxygen Demand (BOD), Dissolved Oxygen (DO), nitrate-nitrogen,
cadmium and iron respectively.
Kamal (2009) studied the efficiency of constructed wetland to treat pollutant in
Palm Oil Mill Effluent (POME). Parameters concerned were ammonia-nitrogen
(NH3-N) and orthophosphate (PO4
3-). In this study, lab scale of free water surface
was constructed by using water lettuce (Pistia stratiotes) as wetland plant and
gravel as filter. This experiment consisted of two systems which were without and
with cycle. Each system was conducted on four stages; first and third stage used
gravel as a filter whereas second and fourth stage used constructed wetland to
remove the pollutant. This experiment was conducted with different
concentrations of sample which were 100% concentration and 80% concentration.
For the first system (without cycle) which was 10 days of treatment, 93.36% of
NH3-N and 79.54% of PO43- had been removed from 100% sample concentration
while 90.95% of NH3-N and 78.52% of PO4
3- removed from 80% of sample
concentration. For the second system (with cycle) which is 20 days of treatment,
the optimum days of treatment was 15 days which gave the optimum results of
98.39% of NH3-N and 83.12% of from 100% sample concentration whereas
96.37% of NH3-N and 80% of PO4
3- removed from 80% sample concentration.
From the results, they showed that the percent removal of NH3-N were much
higher than PO43-. As a conclusion, it was stated that constructed wetland could be
used as industrial waste treatment and also gives high efficiency in removal of
contaminant in POME.
14
Kutty, Ngatenah and Malakahmad (2009) carried out an experiment to determine
the removal efficiency of water hyacinth in polishing nitrate and phosphorus, as
well as chemical oxygen demand (COD) and ammonia. based on the knowledge
that water hyacinth is considered as the most efficient aquatic plant used in
removing vast range of pollutants such as organic matters, nutrients and heavy
metals.
Water hyacinth was cultivated in the treatment house in a reactor tank of
approximately 90(L) x 40(W) x 25(H) in dimension and built with three
compartments. Three water hyacinths were placed in each compartments and
water sample in each compartment were collected in every two days. The plant
observation was conducted by weight measurement, plant uptake and new young
shoot development.
Water hyacinth effectively removed approximately 49% of COD, 81% of
ammonia, 67% of phosphorus and 92% of nitrate. It also showed significant
growth rate at starting from day 6 with 0.33 shoot/day and they kept developing
up to 0.38 shoot/day at the end of day 24. From the studies conducted, it was
proved that water hyacinth is capable of polishing the effluent of municipal
wastewater which contains undesirable amount of nitrate and phosphorus
concentration.
2.2 Utility of Macrophytes in Phytoremediation
Macrophytes are beneficial to lake because they provide food and shelter for fish
and aquatic invertebrates. They also provide oxygen which helps in overall like
functioning and provide feed for some fish and other wildlife, macrophytes are
considered as important components of the aquatic ecosystem not only as a food
source for aquatic invertebrates but because they also act as efficient
accumulation of heavy metals, (fostne and whittman, 1979) therefore it is very
important to understand the function of macrophytes in ecosyetems.
15
The use of aquatic vascular plants for heavy metal phytoremedictation is very
over emphasized for the treatment of industrial effluent before discharge into the
aquatic ecosystems. Because only an aquatic plants can flourish in aquatic
environment, naturally requiring simple mineral nutrients and sunlight, they can
be conveniently tested for their phytoremediation potential.
16
CHAPTER THREE
METHODOLOGY
3.1 Experimental Materials
The chosen aquatic macrophytes for the experiment were Water hyacinth, Water
lettuce and Morning glory. Suitable quantities of these plants in their natural state
were randomly and carefully obtained from nearby streams, lakes and ponds
within and around Gbarian/Ekpetiama – Yenagoa, L.G.A in Bayelsa State. The
reason for this was to take care of the age and varietal differences.
Aquaculture effluent was obtained from Tuksmari Fish Farms, No. 20 Elelenwo
Street G.R.A Phase 1 Port Harcourt, Rivers State with coordinate (N4.82660
E6.99590) using Nokia E71 Smartphone, and transported to the aquaculture
effluent tank in the experimental site. The effluent was mixed properly and
analyzed to determine its nutrient concentration.
3.2 Experimental Apparatus
The experimental apparatus constituted of an aquaculture effluent tank,
mechanical aerator, screen and hydroponic units.
3.2.1 Aquaculture Effluent Tank
A plastic storage drum was used as the aquaculture effluent tank and as a
sedimentation tank. This tank was left static for few hours to settle out all
settleable solids which came from faecal material and uneaten food.
17
3.2.2 Mechanical Aerator
The essence of the mechanical aerator was to supply air by aeration to remove
odour, convert soluble salts to their insoluble state, and increase dissolved oxygen
thus helping in the oxidation of ammonia to nitrates for the availability in plant
uptake.
3.2.3 Screen
A screen was attached to the discharge of the aquaculture effluent tank so as to
intercept uneaten food, faecal and floating materials.
3.2.4 Hydroponic Units
Shallow plastic troughs were used containing measured quantity to ensure enough
contact with the effluent. The troughs were wide enough to accommodate the
plant growth within the experimental period.
3.3 Experimental Procedure
The experimental site was the Soil and Water Conservation Laboratory-
Agricultural and Environmental Engineering Department, Niger Delta University
Wilberforce Island, Bayelsa State Nigeria. Located in the mangrove swamp
vegetative zone, the town has a tropical climate with two seasons: the wet season
from March to October and the dry season between November and April. The
experiment however began December 16, 2011 and terminated January 13, 2012.
The three aquatic macrophytes were placed in non-flow hydroponic units
containing the aquaculture effluent in order to obtain data on the effect of
treatment retention time on nutrient depletion rates within the effluent.
18
The experiment was designed in a completely randomized 4 x 4 experimental
pattern, with 4 replicates. This was thus, conducted using 16 hydroponic units
each containing 6 liters of aquaculture effluent out of which 4 units containing
effluent only, was used as control.
The plants were first washed and stored in a tank with clean water to avoid pre-
contamination carry-over effects. Each hydroponic unit was then stocked with
appropriate plants of approximately same age and varietal specie.
The total hydroponic units for the experiment were 12 in addition to 4 units
containing effluent only (the control). The essence of the control was to ascertain
if remediation was caused by factors other than the aquatic macrophytes.
In order to maintain Dissolved Oxygen (DO) in the hydroponic units, mechanical
aeration using air pump and bubble wand were applied every three days for 10
minutes, throughout the experimental period of 28-days.
During the experimental period, water samples were collected at days 7, 14, 21,
and 28 from each unit and refrigerated in labeled bottles until they were analyzed
in the laboratory.
3.4 Analyses
All samples collected were analyzed to determine the following; pH, Electrical
Conductivity using portable hand-held kits, TDS, TSS, NH4 +-N, NO2--N, NO3
--
N, PO43— P and COD using standard methods in the Chemical Sciences
Laboratory, Niger Delta University Wilberforce Island, Bayelsa State. A two-way
analysis of variance (ANOVA) was used for the comparison with the aid of Excel
spreadsheet.
19
CHAPTER 4
RESULTS AND DISCUSSION
4.1 Laboratory Preparations
At the end of the experiment, samples were sent to the laboratory for analysis and
observations were made as to the behavior and rate of remediation by the selected
aquatic macrophytes. The laboratory results were however computed using initial
sample collected before the commencement of the experiment and subsequent
data gotten at various hydraulic retention times.
4.2 Plant growth:
At the initial stage of the experiment, the aquatic macrophytes in their various
hydroponic units performed very well and appeared healthy with green colour.
The water hyacinth (plates 4.1a, 4.1b, 4.1c and 4.1d) and water lettuce (plates
4.2a, 4.2b, 4.2c and 4.2d) produced numerous daughter plants by vegetative
propagation and morning glory grew rapidly across the water surface forming
numerous branches and nodes. Between days 7-14 of the experiment, the surface
area of compartments containing water hyacinth, lettuce and morning glory
(plates 4.3a, 4.3b, 4.3c and 4.3d) were completely covered. It was also observed
that there were significant increases in the size of individual macrophytes due to
nutrient absorption.
20
4.2.1 Water hyacinth progress in the course of the experiment
Plate 4.1(a) Water Hyacinth (Day 1) Plate 4.1(b) Water Hyacinth (Day 14)
Plate 4.1(c) Water Hyacinth (Day 21) Plate 4.1(d) Water Hyacinth (Day 28)
21
4.2.2 Water lettuce progress in the course of the experiment
Plate 4.2(a) Water lettuce (Day1) Plate 4.2(b) Water lettuce (Day14)
Plate 4.2(c) Water lettuce (Day 21) Plate 4.2(d) Water lettuce (Day28)
22
4.1.3 Morning glory progress in course of the experiment
Plate 4.3(a) Morning glory (Day 1) Plate 4.3(b) Morning glory (Day14)
Plate 4.3(c) Morning glory (Day21) Plate 4.3(d) Morning glory (Day28)
23
4.3 Effluent quality:
Table 4.6 shows the effluent and influent Total Suspended Solids (TSS), Total
Dissolved Solids (TDS), Chemical Oxygen Demand(COD), Ammonium - (NH4+),
Nitrite (NO2-), Nitrate - (NO3
- -N), Orthophosphate (PO4 -P), pH , and Electrical
Conductivity (E.C) and the nutrient removal efficiencies of each water quality
parameter. The effects of plant type and hydraulic retention time on the reductions
of the parameters were tested using a two-way analysis of variance (ANOVA)
using Excel spreadsheet.
24
Table 4.1 Chemical constituents of the aquaculture effluent
Parameter (mg L-1) Value
Total Suspended Solids 12.60
Total Dissolved Solids 2010.00
Chemical Oxygen Demand 108.00
Ammonium-Nitrogen 0.05
Nitrite-Nitrogen 0.34
Nitrate-Nitrogen 0.56
Orthophosphate 0.40
pH 6.40
EC (μs cm-1) 4020.00
25
Table 4.2 Mean Values for Pollutant Reduction by Water Hyacinth
Hydraulic Retention Time (Days)
Parameters mg/L 0 7 14 21 28
Total Suspended So/.lids 12.60 5.80 5.75 2.75 4.71
Total Dissolved Solids 2010.00 638.25 199 94.55 61.25
Chemical Oxygen Demand 108.00 161.75 143.25 114.13 104.13
Ammonium-Nitrogen 0.05 0.0175 0.0075 0.005 0.005
Nitrite-Nitrogen 0.34 0.12 0.079 0.075 0.052
Nitrate-Nitrogen 0.56 0.079 0.063 0.0065 0.015
Orthophosphate 0.40 0.18 0.13 0.078 0.048
pH 6.40 5.82 5.66 5.50 5.46
Electrical Conductivity(μs cm-1) 4020.00 1276.50 379.50 189.33 122.48
26
Table 4.3 Mean Values for Phytoremediation by Water Lettuce
Hydraulic Retention Time (Days)
Parameters mg/L 0 7 14 21 28
Total Suspended Solids 12.60 3.93 7.78 2.30 5.30
Total Dissolved Solids 2010.00 851.50 232.00 76.46 222.60
Chemical Oxygen Demand 108.00 140.00 74.75 58.50 65.00
Ammonium-Nitrogen 0.05 0.02 0.01 0.005 0.015
Nitrite-Nitrogen 0.34 0.19 0.099 0.089 0.103
Nitrate-Nitrogen 0.56 0.203 0.051 0.042 0.005
Orthophosphate 0.40 0.30 0.195 0.195 0.095
pH 6.40 6.15 5.85 5.97 5.48
Electrical Conductivity(μs cm-1) 4020.00 1703 466.75 152.88 445.2
27
Table 4.4 Mean Values for Phytoremediation by Morning glory
HYDRAULIC RETENTION TIME (DAYS)
Parameters mg/L 0 7 14 21 28
Total Suspended Solids 12.60 4.74 3.36 4.31 7.43
Total Dissolved Solids 2010.00 978.75 245.75 152.25 114.75
Chemical Oxygen Demand 108.00 140.25 88.75 44.50 33.63
Ammonium-Nitrogen 0.05 0.035 0.01 0.0075 0.13
Nitrite-Nitrogen 0.34 0.21 0.12 0.079 0.087
Nitrate-Nitrogen 0.56 0.15 0.11 0.065 0.16
Orthophosphate 0.40 0.76 0.03 0.21 0.17
pH 6.40 6.11 5.68 6.19 4.27
Electrical Conductivity (μs cm-1) 4020.00 1957.25 625 304.50 229.75
28
Table 4.5 Mean Values for Control
Hydraulic Retention Time (Days)
Parameters mg/L 0 7 14 21 28
Total Suspended Solids 12.60 5.045 6.38 5.48 3.28
Total Dissolved Solids 2010.00 1008.50 636.75 487.50 691.75
Chemical Oxygen Demand 108.00 122.00 98.75 110.75 115.00
Ammonium-Nitrogen 0.05 0.031 0.018 0.02 0.03
Nitrite-Nitrogen 0.34 0.33 0.15 0.14 0.17
Nitrate-Nitrogen 0.56 0.21 0.14 0.13 0.15
Orthophosphate 0.40 0.36 0.23 0.19 0.22
pH 6.40 6.52 6.68 7.075 6.28
Electrical Conductivity (μs cm-1) 4020.00 2016.75 1273.75 1222.25 1383.50
29
Table 4.6 - Water Quality parameters for Total Dissolved Solids and Total Suspended Solids Parameter HRT days Treatment Influent
(mg L-1) Effluent (mg L-1)
Reduction (mg L-1) (%)
TDS 7 Control 2010 1008.50 1001.50 50 Water hyacinth 2010 638.25 1371.75 68 Water lettuce 2010 851.50 1158.50 58 Morning glory 2010 978.75 1031.25 51 14 Control 2010 636.75 1373.25 68 Water hyacinth 2010 199.00 1811.00 90 Water lettuce 2010 232.00 1778.00 88 Morning glory 2010 245.75 1764.25 88 21 Control 2010 487.50 1522.50 76 Water hyacinth 2010 94.55 1915.45 95 Water lettuce 2010 76.45 1933.55 96 Morning glory 2010 152.25 1857.75 92 28 Control 2010 691.75 1318.25 65 Water hyacinth 2010 61.25 1948.75 97 Water lettuce 2010 222.60 1787.40 89 Morning glory 2010 114.75 1895.25 94 TSS 7 Control 12.60 5.05 7.55 60 Water hyacinth 12.60 5.80 6.80 54 Water lettuce 12.60 3.93 8.67 69 Morning glory 12.60 4.74 7.86 63 14 Control 12.60 6.38 6.22 49 Water hyacinth 12.60 5.75 6.85 54 Water lettuce 12.60 7.78 4.82 38 Morning glory 12.60 3.36 9.24 73 21 Control 12.60 5.48 7.12 57 Water hyacinth 12.60 2.75 9.85 78 Water lettuce 12.60 2.30 10.30 82 Morning glory 12.60 4.31 8.29 66 28 Control 12.60 3.28 9.32 74 Water hyacinth 12.60 4.71 7.89 63 Water lettuce 12.60 5.30 7.30 58 Morning glory 12.60 7.43 5.17 41
30
Table 4.6.1 - Water Quality parameters for Nitrite (NO2) and Nitrate (NO3) NO2 7 Control 0.34 0.33 0.01 3 Water hyacinth 0.34 0.12 0.22 65 Water lettuce 0.34 0.19 0.15 44 Morning glory 0.34 0.21 0.13 38 14 Control 0.34 0.15 0.19 56 Water hyacinth 0.34 0.08 0.26 76 Water lettuce 0.34 0.10 0.24 71 Morning glory 0.34 0.12 0.22 65 21 Control 0.34 0.14 0.20 59 Water hyacinth 0.34 0.08 0.26 76 Water lettuce 0.34 0.09 0.25 74 Morning glory 0.34 0.08 0.26 76 28 Control 0.34 0.17 0.17 50 Water hyacinth 0.34 0.05 0.29 85 Water lettuce 0.34 0.10 0.24 71 Morning glory 0.34 0.09 0.25 74 NO3 7 Control 0.56 0.21 0.35 63 Water hyacinth 0.56 0.08 0.48 86 Water lettuce 0.56 0.20 0.36 64 Morning glory 0.56 0.15 0.41 73 14 Control 0.56 0.14 0.42 75 Water hyacinth 0.56 0.06 0.50 89 Water lettuce 0.56 0.05 0.51 91 Morning glory 0.56 0.11 0.45 80 21 Control 0.56 0.13 0.43 77 Water hyacinth 0.56 0.01 0.55 98 Water lettuce 0.56 0.04 0.52 93 Morning glory 0.56 0.07 0.49 88 28 Control 0.56 0.15 0.41 73 Water hyacinth 0.56 0.02 0.44 79 Water lettuce 0.56 0.05 0.51 91 Morning glory 0.56 0.06 0.50 89
31
Table 4.6.2 Water Quality parameters for Ammonium (NH4) and Orthophosphate (PO4) NH4 7 Control 0.05 0.03 0.02 40 Water hyacinth 0.05 0.02 0.03 60 Water lettuce 0.05 0.02 0.03 60 Morning glory 0.05 0.04 0.01 20 14 Control 0.05 0.02 0.03 60 Water hyacinth 0.05 0.01 0.04 80 Water lettuce 0.05 0.01 0.04 80 Morning glory 0.05 0.01 0.04 80 21 Control 0.05 0.02 0.03 60 Water hyacinth 0.05 0.01 0.04 80 Water lettuce 0.05 0.01 0.04 80 Morning glory 0.05 0.01 0.04 80 28 Control 0.05 0.03 0.03 60 Water hyacinth 0.05 0.01 0.04 80 Water lettuce 0.05 0.02 0.03 60 Morning glory 0.05 0.01 0.04 80 PO4 7 Control 0.40 0.36 0.04 10 Water hyacinth 0.40 0.18 0.22 55 Water lettuce 0.40 0.30 0.10 25 Morning glory 0.40 0.76 -0.36 -90 14 Control 0.40 0.23 0.17 43 Water hyacinth 0.40 0.13 0.27 68 Water lettuce 0.40 0.20 0.20 50 Morning glory 0.40 0.03 0.37 93 21 Control 0.40 0.19 0.21 53 Water hyacinth 0.40 0.08 0.32 80 Water lettuce 0.40 0.20 0.20 50 Morning glory 0.40 0.21 0.19 48 28 Control 0.40 0.22 0.18 45 Water hyacinth 0.40 0.05 0.35 88 Water lettuce 0.40 0.10 0.30 75 Morning glory 0.40 0.17 0.23 58
32
Table 4.6.3 Water Quality parameters for Chemical Oxygen Demand and pH COD 7 Control 108.00 122.00 -14.00 -13 Water hyacinth 108.00 161.75 -53.75 -50 Water lettuce 108.00 140.00 -32.00 -23 Morning glory 108.00 140.25 -32.25 -30 14 Control 108.00 98.80 9.20 9 Water hyacinth 108.00 143.25 -35.25 -33 Water lettuce 108.00 74.50 33.50 31 Morning glory 108.00 88.75 19.20 18 21 Control 108.00 110.75 -2.75 -3 Water hyacinth 108.00 114.13 -6.13 -5 Water lettuce 108.00 58.50 49.50 46 Morning glory 108.00 44.50 63.50 59 28 Control 108.00 115.00 -7.00 -6 Water hyacinth 108.00 104.13 3.87 4 Water lettuce 108.00 65.00 43.00 40 Morning glory 108.00 33.63 74.37 69 pH 7 Control 6.40 6.52 -0.12 -2 Water hyacinth 6.40 5.82 0.58 9 Water lettuce 6.40 6.15 0.25 4 Morning glory 6.40 6.11 0.29 5 14 Control 6.40 6.68 -0.28 -4 Water hyacinth 6.40 5.66 0.74 12 Water lettuce 6.40 5.58 0.82 13 Morning glory 6.40 5.68 0.72 11 21 Control 6.40 7.01 0.61 10 Water hyacinth 6.40 5.50 0.90 14 Water lettuce 6.40 5.97 0.43 7 Morning glory 6.40 6.16 0.24 4 28 Control 6.40 6.28 0.12 2 Water hyacinth 6.40 5.46 0.94 15 Water lettuce 6.40 5.48 0.92 14 Morning glory 6.40 4.27 2.13 33
33
Table 4.6.4 - Water Quality Parameters for Electrical Conductivity E.C 7 Control 4020 2016.75 2003.25 50 Water hyacinth 4020 1276.50 2743.50 68 Water lettuce 4020 1703.00 2317.00 58 Morning glory 4020 1957.25 2062.75 51 14 Control 4020 1273.75 2746.25 68 Water hyacinth 4020 379.50 3640.50 91 Water lettuce 4020 466.75 3553.25 88 Morning glory 4020 625.00 3395.00 84 21 Control 4020 1222.25 2797.75 67 Water hyacinth 4020 189.33 3830.67 95 Water lettuce 4020 152.88 3867.12 96 Morning glory 4020 304.50 3715.50 92 28 Control 4020 1383.50 2636.50 66 Water hyacinth 4020 122.48 3897.52 97 Water lettuce 4020 152.88 3867.12 96 Morning glory 4020 229.75 3790.25 94
34
4.3.1 Total Solids:
This is the sum of Total Dissolved Solids and Total Suspended Solids. The
average total solid concentration in the aquaculture wastewater for Total
Dissolved Solids (TDS) and Total Suspended Solids (TSS) were 2010 mgL-1 and
12.6 mgL-1 respectively. At hydraulic retention times of 7 and 14 days the
average reductions from the controls and compartments containing water
hyacinth, water lettuce and morning glory were 50,68,58 and 51% for TDS; 68,
90, 88 and 88% for TSS respectively. The reductions were however higher in the
compartments containing water hyacinth followed by water lettuce and morning
glory. Figure 4.4 and 4.41 shows a clear graphical representation of the plant
behavior at various retention times. The results of ANOVA displayed also shows
that for TSS there was no significant difference while for TDS there was
significant difference.
35
FIG. 4.1 TSS Phytoremediation rates at various hydraulic retention times
0
1
2
3
4
5
6
7
8
9
DAY 7 DAY 14 DAY 21 DAY 28
TSS
Con
cent
ratio
n m
g/L
Sample Days
WATER HYACINTH WATER LETTUCEMORNING GLORY CONTROL
36
Table 4.7 Results of a two-way ANOVA for TSS reductions as affected by plant type and hydraulic retention time
Source of Variation
SS df MS F P-value F crit
Rows 10.91644 3 3.638813 0.760747 0.586238 9.276628 Columns 0.035113 1 0.035113 0.007341 0.93712 10.12796 Error 14.34964 3 4.783213 Total 25.30119 7
37
FIG. 4.2 TDS Phytoremediation Rates at Various Hydraulic Retention Times.
0
200
400
600
800
1000
1200
DAY 7 DAY 14 DAY 21 DAY 28
TD
S C
once
ntra
tion
(mg/
L)
Sample Days
WATER HYACINTH WATER LETTUCEMORNING GLORY CONTROL
38
Table 4.8 Results of a two-way ANOVA for TDS reductions as affected by plant type and hydraulic retention time
Source of Variation
SS df MS F P-value F crit
Rows 839564 3 279854.7 54.53244 0.00408 9.276628 Columns 1483.763 1 1483.763 0.289126 0.628109 10.12796 Error 15395.68 3 5131.894 Total 856443.4 7
39
4.4 Chemical Oxygen Demand:
The aquaculture wastewater had an average chemical oxygen demand (COD)
concentration of 108 mg L-1. Uneaten or regurgitated food and faecal production
are the major sources of organic matter in aquaculture effluents. Both the plant
type and the HRT had significant effects on the COD reduction. The COD
removal was higher in the compartments containing water lettuce between days
7and 14 followed by morning glory between days 21 and 28.
At HRTs of 7 and 14 days, the average COD reductions from the controls and the
compartments containing water hyacinth, water lettuce and morning glory were , -
13, -50, -23, and -30% and 9, -33, 31 and 18% respectively, while days 21 and 28
were -6, 4, 40 and 69%. The COD reductions increased as hydraulic retention
time was increased.
Figure 4.5 shows a clear graphical representation of the plant behavior at various
retention times. The results of ANOVA displayed also shows that there was
significant difference.
Sooknah and Wilkie (2004) investigated the use of water hyacinth and water
lettuce plants for reducing the nutrient content of an anaerobically digested dairy
manure and reported COD reductions of 65.8, 80.5 and 79.6% in the control and
in the compartments containing water hyacinth and water lettuce after 31 days.
40
FIG 4.3 COD Phytoremediation Rates at Various Hydraulic Retention Times.
0
20
40
60
80
100
120
140
160
180
DAY 7 DAY 14 DAY 21 DAY 28
CO
D c
once
ntra
tion
(mg/
L)
Sample Days
WATER HYACINTH WATER LETTUCEMORNING GLORY CONTROL
41
Table 4.9 Results of a two-way ANOVA for COD reductions as affected by plant type and hydraulic retention time
Source of Variation
SS df MS F P-value F crit
Rows 10740.18 3 3580.059 18.94168 0.018774 9.276628 Columns 121.0568 1 121.0568 0.640498 0.482044 10.12796 Error 567.0129 3 189.0043 Total 11428.25 7
42
4.2.3 Ammonium – Nitrogen:
The aquaculture wastewater contained 0.05 mg L-1 ammonium – nitrogen
(NH4+-N). In fish and shellfish, ammonia is the major nitrogenous waste product
of protein catabolism, and it is excreted primarily in un-ionized form (NH3)
through the gills. Ammonium is also produced through the microbial
decomposition of fish faeces and uneaten food in a process called
ammonification.
Ammonification refers to a series of biological transformations that convert
organically bound nitrogen to ammonium – nitrogen under both aerobic and
anaerobic conditions. The reactions involved in the decomposition release energy
which can then be utilized by the microorganisms for growth and reproduction or
to sustain metabolic functions.
The results of the analyses in Figure 4.6 and Table 4.9 shows that NH4+-N
reductions were significantly affected by plant type, but were not significantly
influenced by hydraulic retention time. At HRTs of 7 and 14 days, the average
NH4+-N reductions from the controls and the compartments containing water
hyacinth, water lettuce and morning glory were 40 , 60, 60,and 20% and 60, 80,
80 and 80% respectively, while days 21-28, the reductions were 60, 80, 80 and
80% and 60, 80, 60 and 80% respectively.
43
FIG 4.4 NH4+ Phytoremediation Rates at various Hydraulic Retention Times.
0
0.02
0.04
0.06
0.08
0.1
0.12
0.14
DAY 7 DAY 14 DAY 21 DAY 28
NH
4+ co
ncen
trat
ion
(mg/
L)
Sample Days
WATER HYACINTH WATER LETTUCEMORNING GLORY CONTROL
44
Table 4.10 Results of a two-way ANOVA for NH4+ reductions as affected by plant type
and hydraulic retention time Source of Variation
SS df MS F P-value F crit
Rows 0.005546 3 0.001849 1.223333 0.43616 9.276628 Columns 0.002195 1 0.002195 1.45218 0.314567 10.12796 Error 0.004534 3 0.001511 Total 0.012274 7
45
4.3.4 Nitrite – Nitrogen:
The aquaculture wastewater had an average nitrite – nitrogen (NO2- -N)
concentration of 0.338 mg L-1. Nitrification was facilitated by the continuous
aeration of the system compartments during the experiments. At hydraulic
retention times of 7 and 14 days, the average NO2--N reductions from the controls
and the compartments containing water hyacinth, water lettuce and morning glory
were 3, 65, 44 and 38% and 56, 76, 71 and 65%, respectively. The results of the
statistical analyses presented in Table 4.5 shows that plant type and the HRT had
significant effects on NO2--N reductions. The NO2
--N removal was higher in the
compartments containing water hyacinth followed by the compartments
containing water lettuce and morning glory, although the difference between the
three selected aquatic macrophytes were not much. The NO2- - N reductions
increased with the longer retention time.
46
FIG. 4.5 NO2- Phytoremediation Rates at various Hydraulic Retention Times
0
1
2
3
4
5
6
7
8
DAY 7 DAY 14 DAY 21 DAY 28
NO
2- con
cent
ratio
n (m
g/L
)
Sample Days WATER HYACINTH WATER LETTUCEMORNING GLORY CONTROL
47
Table 4.11 Results of a two-way ANOVA for NO2- reductions as affected by plant type
and hydraulic retention time Source of Variation
SS df MS F P-value F crit
Rows 0.016826 3 0.005609 29.50055 0.009979 9.276628 Columns 2.81E-05 1 2.81E-05 0.147929 0.726168 10.12796 Error 0.00057 3 0.00019 Total 0.017425 7
48
4.3.5 Nitrate – Nitrogen:
The aquaculture wastewater had an average nitrate – nitrogen (NO3- -N)
concentration of 0.56 mg L-1. NO3- -N accumulates in aquaculture systems as a
result of nitrification (Poxton, and Allouse, 1982; Ackefors, Huner, and Konikoff;
1994). At HRT of 28days, the average NO3—N reductions from the controls and
the compartments containing water hyacinth, water lettuce and morning glory
were 73, 79, 91 and 89% respectively. The results of the statistical analyses
presented in Figure 4.8 shows that both plant type and HRT had slight significant
effects on NO3-—N reductions. The NO3
-—N removal was higher in the
compartments containing morning glory followed by the compartments
containing water hyacinth and water lettuce. NO3—N reductions increased with
the longer retention time.
(Jo, Ma, and Kim; 2002) evaluated the potential of water lettuce and water
hyacinth plants for removal of NO3-—N from an intensive recirculating
aquaculture system effluent over a 48 hour period and found that the NO3-—N
concentration in the wastewater was reduced from 21.4 to 17.4 and 17.9 mg L-1,
respectively. NO3-—N is not acutely toxic to fish. The average NO3
-—N
concentrations in the final effluents from the hydroponics system were 0.41, 0.44,
0.51 and 0.50 mg L-1 at day 28 for control, water hyacinth, water lettuce and
morning glory, respectively.
Poxton (2003) recommended that NO3-—N concentrations do not exceed
50 mg L-1 in waters used for the culture of fish and shellfish.
49
FIG.4.6 NO3- Phytoremediation Rates at various Hydraulic Retention Times.
0
0.05
0.1
0.15
0.2
0.25
DAY 7 DAY 14 DAY 21 DAY 28
NO
3- Con
cent
ratr
atio
n (m
g/L
)
Sample Days
WATER HYACINTH WATER LETTUCEMORNING GLORY CONTROL
50
Table 4.12 Results of a two-way ANOVA for NO3- reductions as affected by plant type and
hydraulic retention time. Source of Variation
SS df MS F P-value F crit
Rows 0.016716 3 0.005572 0. 32288 0.253417 9.276628 Columns 0.002485 1 0.002485 1.03599 0.383693 10.12796 Error 0.007196 3 0.002399 Total 0.026398 7
51
4.3.6 Orthophosphate – Phosphorus:
The aquaculture wastewater contained 0.4 mg L-1 phosphate – phosphorus (PO43--
P). Phosphorus occurs in aquaculture wastewater primarily as soluble and
insoluble phosphates in both organic and inorganic forms (EPA. 2000). The main
inorganic form is soluble orthophosphate, which exists in different states (H2PO4-,
HPO42-, and PO4
3--P) depending on the pH of the medium (Mitsch, and Gosselink,
2000).
At HRTs of 7 and 14 days, the average PO43--P reductions from the controls and
the compartments containing water hyacinth, water lettuce and morning glory
were -10, 55, 25 and -90% and 43, 68, 50 and 93%, respectively. Hydraulic
Retention Time had significant effects on PO43--P removal.
The PO43--P removal was higher in the compartments containing water hyacinth
at day 7 followed by the compartments containing water lettuce and the morning
glory which had 90% increase, but at day 14, reduction was higher in hydroponic
unit containing morning glory followed by water hyacinth and then water lettuce.
The PO43--P reductions were influenced by hydraulic retention time and increased
as HRT was increased.
52
FIG 4.7 PO43- Phytoremediation Rates at various Hydraulic Retention Times.
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
DAY 7 DAY 14 DAY 21 DAY 28
PO43-
Con
cent
ratio
n (m
g/L
)
WATER HYACINTH WATER LETTUCEMORNING GLORY CONTROL
53
Table 4.13 Results of a two-way ANOVA for PO43--P reductions as affected by plant type
and hydraulic retention time
Source of Variation
SS df MS F P-value F crit
Rows 0.226484 3 0.075495 2.181733 0.269107 9.276628 Columns 0.018528 1 0.018528 0.535447 0.517305 10.12796 Error 0.103809 3 0.034603 Total 0.348822 7
54
4.4 pH:
The aquaculture wastewater had an average pH of 6.4. At hydraulic retention
times of 7 and 14 days, the pH of the final effluent leaving the system was -2, 9,
4, and 5% and
-4, 12, 13 and 11 for the controls and compartments containing water hyacinth,
water lettuce and morning glory, respectively. This can be inferred that the
effluent at the initial state was acidic in nature and was able to reduce acidity level
of the effluent.
According to (Lawson 1995; and Meande 1989) the pH of waters used for the
culture of fish and shellfish should range from 6.5 to 8.0. When the pH of the
growth medium rises above 9.0, it begins to adversely affect most aquatic species,
and a pH in the range of
11.0 – 11.5 is lethal to all species of fish (Poxton and Allouse; 1982) When pH
falls within the range of 5.0 – 6.0, rainbow trout, salmonids and molluscs become
rare, the rate of organic matter decomposition declines because the fungi and
bacteria responsible for degradation are not acid tolerant, and most green algae,
diatoms, snails and phytoplankton disappear (Poxton, 2003). Most fish eggs will
not hatch when the pH of the surrounding environment reaches 5.0. Changes in
water chemistry may also occur as a result of a decrease in pH ( Poxton M. J and
Allouse S. B; 1982) Waters suitable for reuse in an aquaculture facility were not
produced.
55
FIG 4.8 pH levels at various Hydraulic Retention Times
0
1
2
3
4
5
6
7
8
DAY 7 DAY 14 DAY 21 DAY 28
pH
Lev
el
Sample Days
WATER HYACINTH WATER LETTUCEMORNING GLORY CONTROL
56
Table 4.14 Results of a two-way ANOVA for pH changes as affected by plant type and hydraulic retention time
Source of Variation
SS df MS F P-value F crit
Rows 2.02705 3 0.675683 3.426965 0.16936 9.276628 Columns 0.18 1 0.18 0.912933 0.409826 10.12796 Error 0.5915 3 0.197167 Total 2.79855 7
57
4.5 Electrical Conductivity:
Electrical conductivity (EC) is a measure of the ability of water to conduct an
electric current and depends on:
Concentration of the ions (higher concentration, higher EC)
Temperature of the solution (high temperature, higher EC)
The determination of the electrical conductivity is a rapid and convenient means
of estimating the concentration of ions in solution.
The aquaculture effluent had an average electric conductivity of 4020 μs cm-1 .In
the course of the experiment, there were reductions in the constituents of
electrical conductivity in the various hydroponic units as time increased. Table
4.9 and Figure 4.11 shows that there was significant effects of plant type and
Hydraulic Retention Time.Reduction in the compartments containing control,
water hyacinth, water lettuce and morning glory for days 7 and 14 were 50, 68, 58
and 51% and58, 91, 88 and 84%.Water hyacinth proved to be the most effective
followed by water lettuce and then morning glory.
58
FIG 4.9 Electrical Conductivity Phytoremediation Rates at various Hydraulic Retention
Times.
0
500
1000
1500
2000
2500
DAY 7 DAY14 DAY 21 DAY 28
Ele
ctri
cal C
ondu
ctiv
ity (µ
s cm
-1)
Sample Days
WATER HYACINTH WATER LETTUCEMORNING GLORY CONTROL
59
Table 4.15 Results of a two-way ANOVA for E.C changes as affected by plant type and hydraulic retention time
Source of Variation
SS df MS F P-value F crit
Rows 3298884 3 1099628 51.2644 0.004467 9.276628 Columns 15196.35 1 15196.35 0.70845 0.46176 10.12796 Error 64350.38 3 21450.13 Total 3378430 7
60
CHAPTER 5
CONCLUSION AND RECOMMENDATION
5.1 CONCLUSION
Untreated wastewater generally contains high levels of organic material, numerous
pathogenic micro-organisms, as well as nutrients and toxic compounds which entails
environmental and health hazards and, consequently, must immediately be treated
appropriately before discharge. The ultimate goal of this work was to comparatively
assess the phytoremediation rates of Water hyacinth, Water lettuce and Morning glory
in an aquaculture effluent.
From the comparative assessment, it was inferred that the selected macrophytes were
capable and efficient enough to reduce the pollutant levels in aquaculture effluent.
Parameters analyzed were Total Suspended Solids (TSS), Total Dissolved Solids
(TDS), Ammonium-nitrogen (NH4+-N), Nitrite - nitrogen (NO2
--N), Nitrate-nitrogen
(NO3--N), Orthophosphate-phosphorus (PO4
3--P), Chemical Oxygen Demand (COD),
pH, and Electrical Conductivity (EC).
It was also observed that reductions were highest in hydroponic units containing water
hyacinth followed by water lettuce and then morning glory. Water hyacinth being the
most efficient at HRT day 28 was able to reduce TDS by 97%, TSS by 63%, NO2 by
85%, with slight variation in the reduction of NO3 by 79% against water lettuce with
91%. Also NH4 was reduced by 80% for both water hyacinth and morning glory; water
hyacinth reduced 88% PO4, COD by 4% with morning glory dominating by 69%
reduction.
61
5.2 RECOMMENDATION
The conventional wastewater treatment plants of activated carbon, electro dialysis, ion
exchange, reverse osmosis etc. are expensive to install, operate and maintain especially
in developing countries like Nigeria. Hence, the use of aquatic macrophytes for
wastewater purification is a viable alternative. Aquatic macrophytes enhance
wastewater treatment by acting as a medium for bacterial growth, by filtering/adsorbing
suspended particulate matter and removing inorganic nutrients from the wastewater.
This assessment will help in recommending a more suitable aquatic plant to be used for
treatment of aquaculture effluent. The use of aquatic plants for the purification of
aquaculture effluent will be a viable alternative to conventional wastewater treatment
plants. The advantage of using aquatic plant for purification is that the water resources
are conserved as the environment is naturally controlled by the plant creating a
mutually beneficial, symbiotic relationship with the aquatic animal.
This research project has however provided several useful outcomes that can assist in
future guidelines for effective, ecologically friendly and economic methods of
wastewater purification.
• The selected aquatic macrophytes should be used because they are effective in the
improvement of water quality.
• They can be used for treatment of other types of wastewater.
• They should be used because they are economically friendly and inexpensive and are
easy to operate even by the rural dwellers.
62
REFERENCES
Ajayi T.O and Ogunbayo A.O (2012). Achieving Environmental Sustainability in Wastewater Treatment by Phytoremediation with Water Hyacinth (Eichhornia Crassipes). Journal of Sustainable Development; Vol. 5, No. 7. Ackefors, H., Huner, J. V. and Konikoff, M. 1994. Introduction to the General Principles of Aquaculture. Food Products Press, New York, NY.
Adebayo, I. A and Adesoji, S. A (2008) Comparative Assessment of the Profit Margin of Catfish Reared in Concrete Tank and Earthen Pond. African Journal of Agricultural Research Vol. 3(10), pp 677-680
Adler, P. R., Harper, J. K., Takeda, F., Wade, E. M and Summerfelt, S. T (2000) Economic Evaluation of Hydroponics and Other Treatment Options for Phosphorus Removal in Aquaculture Effluent. HortScience, 35:993-999.
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TURNING THE AQUACULTURE EFFLUENT INTO THE EFFLUENT TANK
APPENDIX II
THE EFFLUENT TANK READY TO DISCHARGE MEASURED QUANTITY OF EFFLUENT FOR USE IN THE EXPERIMENT.
67
CAREFULLY RANDOMIZING AND PLACEMENT OF AQUATIC MACROPHYTES IN VARIOUS HYDROPONIC UNITS
AERATION DURING THE EXPERIMENTAL PERIOD
APPENDIX IV
69
SAMPLE COLLECTION IN PROGRESS
FINAL SAMPLES COLLECTED FOR LABORATORY ANALYSIS ON DAY 28
APPENDIX V
Effects of the Water hyacinth on some physicochemical characteristics of the aquaculture effluent for the Hydraulic Retention Times
70
Sample code and
HRT(days)
Effluent Parameter (mg L-1)
pH
E.C (μs cm-1)
TDS
TSS
NO2
NO3
NH4
PO4
COD
A1-7 5.62 940 470 14.00 0.143 0.018 0.02 0.24 150
A2-7 5.78 1901 950 6.00 0.135 0.15 0.01 0.4 201
A3-7 5.53 1063 532 2.4 0.124 0.088 0 0.04 168
A4-7 6.35 1202 601 0.8 0.077 0.06 0.04 0.04 128
MEAN 5.82 1276.5 638.25 5.8 0.12 0.079 0.0175
0.18 161.75
A1-14 5.68 167 84 5 0.044 0.011 0.01 0.18 78
A2-14 6.25 879 440 10 0.077 0.08 0.01 0.1 185
A3-14 5.37 328 164 3.8 0.147 0.015 0.01 0.2 180
A4-14 5.34 216 108 4.2 0.046 0.01 0 0.02 130
MEAN 5.66 379.5 199 5.75 0.079 0.063 0.0075
0.13 143.25
A1-21 4.67 114 57 2 0.1 0.012 0.02 0.08 68
A2-21 6.34 514 257 4 0.077 0.011 0 0.21 170
A3-21 5.58 544 272 2.5 0.087 0.003 0 0.02 140
A4-21 5.41 74.9 37 2.5 0.035 0 0 0 78.5
MEAN 5.50 189.33 94.55 2.75 0.075 0.0065 0.005 0.078 114.13
A1-28 5.45 122 61 2.4 0.053 0.01 0.01 0.05 105
A2-28 5.73 225 5.73 225 0.082 0.01 0 0.1 105
A3-28 5.19 68 5.19 68 0.035 0.001 0 0.02 138
A4-28 5.47 74.9 5.47 74.9 0.037 0.04 0.01 0.02 68.5
MEAN 5.46 122.48 5.46 122.48 0.052 0.015 0.005 0.048 104.13
APPENDIX VI
Effects of the Water lettuce on some physicochemical characteristics of the aquaculture effluent for the various Hydraulic Retention Times
71
Sample code and HRT(days)
Effluent Parameter (mg L-1)
pH
E.C (μs cm-1)
TDS
TSS
NO2
NO3
NH4
PO4
COD
B1-7 6.47 1456 728 8.40 0.184 0.122 0.01 0.38 140.0
B2-7 5.86 1862 931 2.00 0.194 0.170 0.02 0.40 130.0
B3-7 5.90 1841 920 4.50 0.183 0.200 0.01 0.35 170.0
B4-7 6.36 1653 827 0.80 0.194 0.32 0.04 0.068 120.0
MEAN 6.15 1703 851.50
3.93 0.19 0.203 0.02 0.30 140
B1-14 6.02 208 104 12.50 0.102 0.02 0.010 0.04 58.0
B2-14 5.56 470 230 3.40 0.108 0.094 0.02 0.10 106.0
B3-14 6.12 313 156 0.80 0.083 0.068 0.00 0.10 55.0
B4-14 5.68 876 438 14.40 0.102 0.022 0.01 0.54 80.0
MEAN 5.85 466.75 232.00
7.78 0.099 0.051 0.01 0.195 74.75
B1-21 6.35 118 59 2.50 0.151 0.015 0.00 0.50 60.0
B2-21 5.92 97.5 48.8 4.00 0.048 0.003 0.00 0.02 84.0
B3-21 5.91 244 122 2.50 0.048 0.043 0.01 0.02 60.0
B4-21 5.72 152.0 76 1.2 0.108 0.08 0.01 0.24 30.0
MEAN 5.97 152.88 76.45 2.30 0.089 0.042 0.005 0.195 58.50
B1-28 5.31 1282 641 1.20 0.072 0.012 0.00 0.14 120.0
B2-28 5.39 150 75 4.40 0.073 0.004 0.01 0.01 40.0
B3-28 5.61 102.8 51.4 3.10 0.051 0.059 0.01 0.05 50.0
B4-28 5.62 246 123 12.50 0.194 0.018 0.04 0.18 50.0
MEAN 5.48 445.2 222.6 5.30 0.103 0.048 0.015 0.095 65.00
APPENDIX VI
Effects of the Morning glory on some physicochemical characteristics of the aquaculture effluent for the various Hydraulic Retention Times
72
Sample code and
HRT(days)
Effluent Parameter (mg L-1)
pH
E.C (μs cm-1)
TDS
TSS
NO2
NO3
NH4
PO4
COD
C1-7 5.41 2420 1210 2.85 0.212 0.138 0.04 1.28 120.0 C2-7 6.42 1993 997 4.00 0.255 0.165 0.02 0.62 201.00
C3-7 5.80 2100 1050 3.60 0.183 0.074 0.04 0.74 90.00
C4-7 6.80 1316 658 8.50 0.172 0.240 0.04 0.38 150.00
MEAN 6.11 1957.25 978.75 4.74 0.21 0.15 0.035 0.76 140.25
C1-14 5.34 568 284 1.80 0.218 0.20 0.01 0.33 90.00
C2-14 6.24 535 268 2.80 0.068 0.120 0.01 0.15 75.00
C3-14 5.62 657 329 5.05 0.083 0.059 0.01 0.44 70.00
C4-14 5.51 740 370 3.80 0.121 0.078 0.02 0.28 120.00
MEAN 5.68 625 245.75 3.36 0.12 0.11 0.01 0.03 88.75
C1-21 6.20 278 138 2.40 0.105 0.076 0.02 0.18
20.00
C2-21 6.00 217 109 3.50 0.048 0.074 0.00 0.10
40.00
C3-21 6.24 4.09 205 0.85 0.060 0.063 0.00 0.32 62.00
C4-21 6.32 314 157 10.50 0.102 0.045 0.01 0.25 56.00
MEAN 6.19 304.5 152.25 4.31 0.079 0.065 0.0075 0.21 44.5
C1-28 5.66 194 97 14.50 0.077 0.155 0.02 0.30
32.00
C2-28 5.59 212 106 4.2 0.074 0.370 0.01 0.05 30.00
C3-28 5.81 301 150 5.60 0.121 0.078 0.00 0.16 40.50
C4-28 5.58 212 106 5.40 0.075 0.018 0.02 0.16 32.00
MEAN 4.27 229.75 114.75 7.43 0.087 0.16 0.13 0.17 33.63
APPENDIX VIII
73
Effects of the Control on some physicochemical characteristics of the aquaculture effluent for the various Hydraulic Retention Times
Sample code
and HRT(days)
Effluent Parameter (mg L-1)
pH
E.COND (μs cm-1)
TDS
TSS
NO2
NO3
NH4
PO4
COD
D1-7 6.71 2510 1255 0.68 0.254 0.205 0.08 0.84 130
D2-7 6.98 1528 791 6.80 0.378 0.197 0.02 0.28 110
D3-7 5.90 1815 908 8.40 0.431 0.25 0.01 0.18 120
D4-7 6.50 2160 1080 4.30 0.288 0.125 0.02 0.13 128
MEAN 6.52 2016.75 1008.50 5.045 0.33 0.21 0.031 0.36 122.00
D1-14 7.24 1179 589 0.56 0.089 0.180 0.02 0.48 110
D2-14 7.00 1208 604 12.30 0.269 0.120 0.02 0.24 60
D3-14 6.24 1184 592 2.50 0.112 0.100
0.01 0.12 140
D4-14 6.24 1524 762 10.16 0.121 0.150 0.02 0.08 85
MEAN 6.68 1273.75 636.75 6.38 0.15 0.14 0.018 0.23 98.75
D1-21 7.10 1188 594 2.05 0.114 0.132 0.03 0.36 120
D2-21 7.11 1321 661 4.20 0.178 0.102 0.01 0.26 78
D3-21 7.06 1100 550 11.38 0.109 0.085 0.01 0.08 130
D4-21 7.03 1280 640 4.30 0.169 0.210 0.03 0.05 115
MEAN 7.075 1222.25 487.5 5.48 0.143 0.13 0.02 0.19 110.75
D1-28 6.24 1415 707 3.20 0.218
0.110 0.04 0.42 125
D2-28 6.34 1390 695 2.82 0.58 0.121 0.02 0.18 80
D3-28 6.21 1222 611 450 0.115 0.105 0.01 0.11 120
D4-28 6.31 1507 745 2.60 0.208 0.280 0.04 0.15 135
MEAN 6.28 1383.5 691.75 3.28 0.17 0.15 0.03 0.22 115.00
74