Research Article (Open access) |
---|
Int. J.
Life. Sci. Scienti. Res., 4(3): 1810-1821
, May
2018
Seasonal Variations in the Physicochemical
Parameters of Ikpoba River Water Samples
Azuka
Romanus Akpe1*, Imah
Justus Femi2, Grace Ifeoma Okwu3,
Helen Obiazi4
1Reader,
Department of Microbiology, Ambrose Alli University, Ekpoma, Nigeria
2Postgraduate
Student, Department of Microbiology, Ambrose Alli
University, Ekpoma, Nigeria
3Senior Lecturer,
Department of Microbiology, Ambrose Alli University, Ekpoma, Nigeria
4Senior Lecturer,
Department of Microbiology, Ambrose Alli University, Ekpoma, Nigeria
*Address for
Correspondence: Dr. Azuka Romanus
Akpe, Reader, Department of Microbiology, Ambrose
Alli University, Ekpoma,
Nigeria
ABSTRACT-
Water
is one of the most common natural resources that profoundly influence
life. Water pollution occurs when there
is adverse change in the physical, chemical or biological condition of the
water which harmfully affects the quality of human life including other animals
and plant life. Studies on River water
pollution and their implication to public health have been ongoing. An
assessment of the seasonal changes in the physicochemical properties of Ikpoba River, Benin City, Nigeria polluted by brewery
effluent was carried out between the months of January to March and May to July
for the dry and wet seasons’ respectively. Standard procedures were employed in
the study. Results showed a temperature range of 23.00C to 33.00C.
The dry season Discharge point (DP) sample had the highest temperature. The pH
values of most of the samples were within the optimum range for aquatic
organisms (6.5- 9.0). There was a significant difference (p<0.05) in
pH along the sampling points and days in the two seasons. The range of the
electrical conductivity was 70-1750µs/cm in dry season and 90.2-1320µs/cm in
wet season. The discharge point (DP) samples had the highest values followed by
the downstream (DS) samples with the upstream (US) samples having the lowest
values. Salinity in the dry season was higher than those of the wet season.
Physical and spectrophotometric assessment showed
remarkable colour change particularly in the DP samples followed by the DS samples. The effect was
mild in the US samples. Turbidity values in this study ranged from 2.8NTU–16.1NTU
with higher values during the wet season. Total suspended solid (TSS) ranged
from 4.2mg/l –39.9mg/l. Total dissolved solid (TDS) were higher in the dry
season. There was significant difference (p<0.05) in DO along the
sampling points and days in dry and wet seasons. The Chemical Oxygen Demand (COD) values were
much higher than those of BOD5. There was significant difference (p<0.05)
in COD and BOD5 along the sampling points and days in the two
seasons. Carbonate, sodium, potassium,
phosphorus, ammonium, nitrate, chloride and sulphate.
There was significant difference (p<0.05) in nitrate composition
along the sampling points and days in the two seasons. There was significant
difference (p<0.05) in lead composition along the sampling point in
the two seasons except on Day 42 at DS and US. There was presence of
hydrocarbon (HC) in water the samples which showed significant difference (p<0.05)
along the sampling points throughout the period of study. The physicochemical
properties of the River showed that it is unfit for human consumption and is a
cause for public health concern.
Key Words: Physicochemical
properties, seasonal variation, River water samples, pollution
INTRODUCTION-
Water
is a common natural resource indispensable for all living organisms. It is one
of the most important factors that profoundly influence life. Water pollution occurs when there is change
in the physical, chemical or biological condition in the environment which
harmfully affects the quality of human life including other animal and plant
life [1]. In other to
determine the state of pollution in rivers, a continuous monitoring of water
quality is essential. Water quality deals with the physical, chemical and
biological features in relation to all other hydrological properties.
Deterioration of surface water quality
has been attributed to both natural processes and anthropogenic activities,
including hydrological features, climate change, precipitation, agricultural
land use, and sewage discharge [2].
Good water quality resources depend on a
large number of physicochemical parameters and the magnitude and sources of any
pollution load, and to assess that, monitoring of these parameters is essential
[3]. Monitoring of water quality parameters provides important
information for water management [4,5].
Good management of water bodies is required if they are to be used for diverse
purposes such as domestic and industrial supply, irrigation, transport,
recreation, and fisheries [6]. Urbanization and industrialization
have increased the extent of pollution of rivers. Pollution affects the
ecosystems and significantly deplete biodiversity of
species.
Ikpoba
River, Benin City, Edo State receives effluents from Guinness Plc. (a brewery
industry). Brewery effluents are rich in organic and inorganic substances
capable of producing adverse effects on the lives of humans and the ecosystem. Ikpoba River is a fourth order stream located in Benin
City, Edo State in Southern, Nigeria.
It is one of such Rivers that receive domestic, abattoir and agricultural waste
from Oregbeni and other communities living at its
banks.
Pollution is said to have occurred when
the values of certain physicochemical parameters such as pH, temperature,
Dissolved Oxygen (DO), Electrical Conductivity (EC), salinity, turbidity, Total
Suspended Solid (TSS), Biochemical Oxygen Demand (BOD5), and Chemical Oxygen
Demand (COD) are above the recommended standard for drinking [7]. Ikpoba River receives large quantity of wastes, directly
from the brewery effluents and indirectly within the metropolis through runoff
resulting in complete deterioration of water quality. The largest share of
pollution comes from the brewery influents, and the untreated wastes, in turn,
contaminate the River, which adversely affect the aquatic lives with concomitant
negative effect on human health [8]. The healthy environment and
sufficient nutrients are essential for living and growth of aquatic organisms.
Physicochemical characteristics of the water body help to determine the
productivity level of aquatic organisms. The highest productivity is obtained
when the physical and chemical parameters are at the ideal level. Water quality contributes to helping
decision-making process for pollution control in environment protection purpose
[7]. A number of studies have
been carried out on Ikpoba River [9,10]. Water quality assessment is a continuous process
as it gives an update of the health status of water and its suitability for
diverse purposes such as bathing, drinking, irrigation and its ability to
support aquatic lives [11].
This
study is very important because it deals with the comparative analysis of the
physiochemical properties of Ikpoba River in dry and
wet seasons.
MATERIALS AND METHODS
Samples
collection- Water samples were collected from Ikpoba River at three different sampling points. The
sampling points were designated upstream (US), Downstream (DS), and Discharge
point (DP). The three sampling points were 100m distant from each other. Three
samples were collected into a 500ml clean sterile screw cap container from each
sampling point making a total of nine (9) samples at each time of sampling and
this was done fortnightly for 10 times for the two seasons. The samples were
collected by immersing the sample container 30cm deep into the River towards
the current.
Dry
season samples were collected from January to March 2017 and wet season samples
were obtained from May to July 2017. Samples were analysed
at the Microbiology Laboratory of Ambrose Alli
University, Ekpoma, Nigeria.
Determination of Physicochemical
Parameters- The physicochemical parameters
investigated include: temperature which was determined in-situ using a digital
thermometer (Kris-Alloy model) with an accuracy of ±0.40C, pH was
determined in-situ using a pH meter (Hanna model, H196107), with pH range of 0
-14, conductivity was determined in-situ using a conductivity meter, salinity
was determined using a salinometer, turbidity was
measured using HACH turbidimeter, Biological Oxygen
Demand (BOD5) was determined by modified Winkler’s method [12],
Total suspended solid (TSS) was determined by gravimetric method, Dissolved
Oxygen (DO) was determined by modified Winkler’s method [13].
Chemical oxygen demand (COD) was determined as described [12],
Carbonate (HCO3) by using phenolphthalein and methyl orange
indicator method, Phosphorus by Ascorbic Acid Reduction colorimetric method [14],
Chloride was determined by silver nitrate titration method [13],
Ammonium nitrogen (NH4N) by the method described by American Public
Health Association [12], Nitrate was determined by Brucine colorimetric method, Sulphate
by turbidimetric method [13]. The colour was determined by the spectrophotometric
method, sodium and potassium were determined by flame photometry. Total
Hydrocarbon (THC) was determined as described by American Public Health
Association [14]. All heavy metals: Fe, Mn,
Zn, Cu, Cr, Cd, Ni, Pb, V
were determined using Atomic Absorption Spectrophotometric
(AAS) method.
Statistical Analysis- The
data were analyzed using analysis of variance (ANOVA) while significant means
were separated with Duncan’s multiple range tests using SPSS 17.0 statistics.
RESULTS
AND DISCUSSIONS- The physicochemical parameters
investigated in the two (wet and dry) seasons include: temperature, pH,
Electrical Conductivity (EC), salinity, colour,
turbidity, Total Suspended Solid (TSS), Total Dissolved Solid (TDS), Dissolved
Oxygen (DO), Biochemical Oxygen Demands (BOD5), Chemical Oxygen
Demand (COD), carbonate (HCO3) sodium (Na), potassium (K), calcium
(Ca), magnesium (mg), chloride (Cl), phosphorus (P),
ammonium nitrogen (NH4N), nitrate (NO3), sulphate (SO4), heavy metals; Fe, Mn, Zn, Cu, Cr, Cd, Ni, Pb, V, and total hydrocarbon (THC).
Tables 1 to 5 showed the dry and wet
season results of the physicochemical parameters of Ikpoba
River water samples. The temperature of 330C for DP dry season Day 1
sample was the highest obtained throughout the study. In the wet season for Day
1, the temperature ranged from 27.50C– 30.00C. In Day 2
the dry and wet season temperatures ranged from 30.00C-32.40C
and 27.00C- 30.50C respectively. The Day 3 temperatures
were 30.00C– 32.50C (dry season) and 26.00C–
28.00C (wet season). In Day 4 the temperatures were 30.00C–
32.00C (dry season) and 23.50C-26.00C (wet
season). The Day 5 temperatures for the dry and wet seasons
respectively 29.10C – 31.90C and 23.00C-26.00C.
The lowest temperature of 23.00C was obtained from the wet season
Day 5 US sample.
The research showed that temperature
values were higher during dry season. The temperature difference at any aquatic
habitat is affected by weather and the extent of shade from direct exposure to
sunlight [10]. The temperature values recorded were comparable to
those previously reported [10]. Elevated temperature diminishes the
solubility of dissolved oxygen (DO) and thus, decreases the availability of
this essential gas when the metabolism of organisms increases (i.e. at the time
when it is most needed). The deficit could result in the death of fish and
other aquatic organisms living in the water body [15].
The pH values of the various samples
were within the optimum range for aquatic organisms but at the threshold values
(6.5- 9.0) except for the Day 4 wet season US sample and Day 5 dry season DP
sample which was 5.9 and 5.3 respectively. The pH of Ikpoba
River fluctuates between weak acidity and strong alkalinity. There was
significant difference (p< 0.05) in pH along the sampling points and
days in the two seasons. The pH ranged
from 5.3 – 9.5 in dry season and 5.9- 9.0 in wet season.
The pH of 9.5 recorded at DP in dry season slightly deviated from the optimum
value (6.5-9.0) for aquatic organisms. Outside this pH, aquatic organisms
become stressed or even die in the process. Beside biological effects, extreme
pH level usually increases the solubility of elements and compounds, making
toxic chemicals more “mobile” thereby increasing the risk of absorption by
aquatic life. Some of the extreme alkaline pH recorded at DP could have
resulted from the use of caustic soda and detergent for washing and bathing
within the vicinity of the DP and from the brewery company that uses detergent
for cleaning their utensils.
The highest electrical conductivity
(1750µs/cm) in the entire analysis was associated with the dry season Day 5 DP
sample. Electrical conductivity is a measure of the ability of water to pass an
electrical current. Conductivity in water is affected by the presence of
inorganic dissolved solids such as chloride, nitrate, sulphate
etc that carry negative charges or sodium, magnesium, calcium etc that carry
positive charges. Conductivity is also affected to a great extent by
temperature. Temperature increases the mobility of ions in water thereby
increasing conductivity. The optimum conductivity for most species of fish is
between 50-1500µs/cm, conductivity outside this range is not suitable for most
species of fish. A significant change in conductivity is an indication that a
discharge or some forms of pollution has occurred in the stream. The
conductivity of Ikpoba River was highest during the
dry season. The range was 70-1750µs/cm in dry season and 90.2-1320µs/cm in wet
season. It was observed that the conductivity values recorded at the various
sampling points were attributed to the level of dissolved solids coupled with
temperature. The values of conductivity from highest to lowest are in the
order: DP > DS > US.
Salinity measures the salt concentration
in water. Salinity in the dry season was higher than those of the wet season.
This could simply be attributed to high evaporation during dry season because
salinity increases with temperature [16]. Physical and spectrophotometric assessment showed remarkable colour change particularly at the DP followed by DS. The
effect was mild in the US. The colour change in River
at the two main points (i.e. DP and DS) could be ascribed to brewery wastewater
being discharged. Research on the effect of human activities on the
physicochemical parameters and microbiological quality of Otamiri
River, Owerri, Imo State,
Nigeria did not detect color [17].
Turbidity is a measure of the amount of
suspended particles in water. World health organization (WHO) has established
that the turbidity of drinking water should not exceed 5NTU while aquatic
organisms require turbidity less than 50NTU. The range in this study was 2.8
NTU- 12.0 NTU in dry season. The rainy season ranged between 5.2NTU – 16.1NTU.
The turbidity values recorded in the wet season were higher than dry season.
The high turbidity in wet season could be attributed to weathering of soil and
runoff. The turbidity values recorded in this research were lower than those
earlier reported [10,18]. The lower
turbidity values recorded in comparison to the two works cited above could be
attributed to reduced human activities such as construction, mining and
agricultural activities that disturb land [19]. Because of organic
matter composition, DP and DS have higher turbidity values than US. Total
suspended solid (TSS) at the US and DS were moderate in the entire analyses
except at DP in dry season. But values increased moderately in wet season. It
ranged between 4.2mg/l – 32.7mg/l in dry season. The wet season values ranged
from 4.8mg/l – 39.9mg/l. Total dissolved solid (TDS) is a measure of all
organic and inorganic substances. TDS could also be used to estimate electrical
conductivity. The difference between TDS and TSS is that the latter cannot pass
through a sieve of 2µm and are indefinitely suspended. High values of TDS were
observed in the dry season. This also accounts for the high conductivity values
recorded in the period. Fluctuated values were observed in the wet season.
The impact of brewery effluent on Ikpoba River was evident at DP and its vicinity. Its
turbidity was high with reduced transparency and dissolved oxygen level coupled
with remarkable colour change. Exogenous substances
of organic origin are known to increase water colour,
turbidity, suspended and dissolved solids which impair transparency [20,21]. The increase in organic matter composition at DP
reduced the DO, raises the oxygen tension of microorganisms thereby increasing
the biological oxygen demand (BOD) [22]. The observation in this
research was in line with the work on the effects of brewery effluent on the
water quality and rotifers of Ikpoba River, Benin City,
Nigeria [23]. The State of Wisconsin has set a minimum standard of
5mg/l DO as necessary for a stream to support fish and other aquatic lives. The
values recorded at DP and DS showed that aquatic organisms (except some aquatic
plants) cannot thrive at these points except at US. There was significant difference (p<
0.05) in DO along the sampling points and days in dry and wet seasons. The Chemical Oxygen Demand (COD) values were
much higher than those of BOD because COD measures everything that can be
chemically oxidized while BOD measures levels of biologically active organic
matter. The COD range was 10.2mg/l-194.2mg/l in dry season. Wet season COD
values ranged from 12.2mg/l- 366.3mg/l. There was significant difference (p<
0.05) in COD and BOD5 along the sampling points and days in the two
seasons.
The presence of carbonate, sodium and
potassium could be attributed to pollution from point and non-point sources
resulting from weathering of rocks and other sources. Phosphorus, ammonium,
nitrate and sulphate were also observed with high
proportion of chloride. There was significant difference (p<0.05) in
nitrate composition along the sampling points and days in the two seasons. Day
28 and 42 at US in dry season and day 1 and 14 at DS in wet season had
significant difference (p<0.05). The presence of these inorganic
compounds in water usually results from agricultural runoff, domestic effluent,
sewage disposal, industrial discharges, leachates
from refuse dumps etc [24]. Their presence is also a reflection of
human activities like farming that takes place at the bank of the River [12].
The presence of these inorganic compounds in River water sample has been
earlier reported. Excess of these inorganic compounds in water could enrich the
water body thereby resulting in eutrophication. This
could further results in excessive algal growth that could lead to oxygen
depletion. Excess of chloride in water corrodes metals and could lead to the
death of fish and other aquatic life.
The wet season samples had more heavy
metals than the dry season samples. Nickel and Vanadium were not detected in
the River in the months of January and February. Cadmium was not detected in
the US sample in February but found in other sampling points (i.e. DP and DS).
Metals such as Fe, Mn, Zn, Cu, Cr, Cd, Ni, Pb, and V were detected
at all points apart from the period stated above. Their proportions were lower
in dry season than wet season. There was significant difference (p<
0.05) in lead composition along the sampling point in the two seasons except on
Day 42 at DS and US. There was no significant difference (p< 0.05) in
lead composition between some of the sampling days. This aligns with earlier
work where traces of heavy metals were detected in the marine environment [25].
Metals are introduced into aquatic system as a result of weathering of soil and
rocks from volcanic eruption and a variety of human activities such as mining
and other substances that contain metal pollutant. Metals such as manganese,
iron, copper and zinc are essential as micronutrients. They are essential for
life in the right concentration, but in excess, they are poisonous. The maximum
permissible concentrations of some metals (for human health) in natural waters
as recommended by [19] include Pb 5 mg/m3,
Cd 10 mg/m3, Ni 13.4 mg/m3, Mn 50 mg/m3, Cr 50 mg/m3, Fe 300 mg/m3.
The presence of lead could be from the PVC pipe that takes the effluent to the
River and is very toxic when in excess.
The
presence hydrocarbon (HC) in water could result from industrial processes and
man induced activities such as oil spillage and from runoff. There was
significant difference (p<0.05) in total hydrocarbon (THC)
composition along the sampling points throughout the periods but significant
difference (p<0.05) was not recorded between some of the sampling
days. On high pollution, oil affects the aesthetics of water and respiration of
fish by adhering to the gills.
Table 1: Physicochemical Analysis of Dry and Wet
Seasons Samples- Day 1
Parameters |
Dry
season |
Wet
season |
|||||
Sample
Code |
Sample
Code |
||||||
|
DS |
DP |
US |
DS |
DP |
US |
|
Temp. (0C) |
31.0 |
33.0 |
30.5 |
28.0 |
30.0 |
27.5 |
|
pH |
6.89 |
8.92 |
6.14 |
7.8 |
9.0 |
6.6 |
|
EC (µS/cm) |
146.2 |
582.2 |
130.1 |
126.1 |
362.5 |
120.1 |
|
Sal. (g/l) |
0.080 |
0.151 |
0.088 |
0.06 |
0.27 |
0.056 |
|
Col. (Pt.Co) |
7.2 |
12.3 |
4.2 |
7.6 |
15.1 |
3.6 |
|
Turb.
(NTU) |
4.6 |
10.3 |
3.8 |
7.7 |
13.2 |
5.2 |
|
TSS (mg/l) |
8.4 |
20.1 |
6.1 |
9.5 |
30.4 |
6.8 |
|
TDS (mg/l) |
90.6 |
230.2 |
56.5 |
56.3 |
261.1 |
46.3 |
|
DO (mg/l) |
4.1 |
3.9 |
5.9 |
6.3 |
5.0 |
7.2 |
|
BOD5 (mg/l) |
28 |
72.3 |
19.0 |
20.3 |
31.5 |
3.6 |
|
COD (mg/l) |
40.9 |
180.1 |
12.1 |
36.6 |
130.8 |
12.2 |
|
HCO3 (mg/l) |
52.6 |
68.9 |
31.7 |
68.1 |
120.6 |
41.3 |
|
Na (mg/l) |
2.91 |
4.21 |
1.21 |
2.1 |
6.21 |
0.92 |
|
K (mg/l) |
0.60 |
1.20 |
0.41 |
0.38 |
3.25 |
0.16 |
|
Ca (mg/l) |
5.12 |
10.16 |
5.10 |
2.66 |
12.10 |
2.12 |
|
Mg (mg/l) |
1.87 |
4.50 |
1.12 |
1.62 |
3.64 |
0.81 |
|
Cl
(mg/l) |
31.4 |
140.1 |
26.4 |
33.1 |
261.5 |
26.3 |
|
P (mg/l) |
2.69 |
8.10 |
0.84 |
1.32 |
8.91 |
1.02 |
|
NH4N
(mg/l) |
0.059 |
0.986 |
0.021 |
0.161 |
1.180 |
0.062 |
|
NO3 (mg/l) |
3.24 |
7.95 |
1.76 |
1.82 |
10.21 |
1.32 |
|
SO4 (mg/l) |
0.16 |
0.34 |
0.61 |
0.81 |
4.19 |
0.38 |
|
Fe (mg/l) |
1.21 |
2.60 |
0.91 |
2.01 |
6.10 |
1.20 |
|
Mn
(mg/l) |
0.009 |
0.012 |
0.007 |
0.055 |
0.100 |
0.029 |
|
Zn (mg/l) |
0.14 |
0.91 |
0.13 |
0.90 |
2.13 |
0.60 |
|
Cu (mg/l) |
0.077 |
0.121 |
0.016 |
0.040 |
0.089 |
0.010 |
|
Cr (mg/l) |
0.015 |
0.050 |
0.004 |
0.018 |
0.062 |
0.011 |
|
Cd
(mg/l) |
0.011 |
0.021 |
0.003 |
0.019 |
0.058 |
0.010 |
|
Ni (mg/l) |
ND |
ND |
ND |
0.012 |
0.026 |
0.006 |
|
Pb
(mg/l) |
0.006 |
0.010 |
0.002 |
0.019 |
0.030 |
0.003 |
|
V (mg/l) |
ND |
ND |
ND |
0.006 |
0.020 |
0.001 |
|
THC (mg/l) |
0.04 |
0.11 |
0.01 |
0.31 |
0.45 |
0.08 |
|
US– Upstream,
DS– Downstream, DP– Discharge Point, ND– Not Detected
Table
2: Physicochemical Analysis of Dry and Wet Seasons Samples – Day 14
Parameters |
Dry
Season |
Wet
Season |
||||
Sample
Code |
Sample
Code |
|||||
|
DS |
DP |
US |
DS |
DP |
US |
Temp. (0C) |
31.0 |
32.4 |
30.0 |
28.0 |
30.5 |
27.0 |
pH |
7.5 |
9.2 |
6.6 |
6.9 |
8.8 |
6.1 |
EC (µS/cm) |
150.1 |
620.1 |
131.1 |
120.3 |
312.6 |
123.4 |
Sal. (g/l) |
0.09 |
0.171 |
0.086 |
0.05 |
0.26 |
0.046 |
Col. (Pt.Co) |
8.3 |
14.4 |
3.2 |
8.1 |
17.0 |
4.3 |
Turb.
(NTU) |
4.3 |
11.6 |
3.0 |
5.3 |
13.1 |
6.0 |
TSS (mg/l) |
7.15 |
21.2 |
6.1 |
10.0 |
36.8 |
8.3 |
TDS (mg/l) |
91.6 |
280.3 |
53.5 |
60.0 |
146.2 |
52.1 |
DO (mg/l) |
4.0 |
3.6 |
6.3 |
6.8 |
5.8 |
7.5 |
BOD5 (mg/l) |
28.3 |
57.4 |
8.7 |
16.6 |
30.8 |
4.8 |
COD (mg/l) |
39.6 |
183.1 |
12.6 |
70.2 |
201.3 |
16.1 |
HCO3 (mg/l) |
42.2 |
67.8 |
33.8 |
61.1 |
121.3 |
40.1 |
Na (mg/l) |
3.11 |
5.30 |
1.41 |
1.85 |
6.99 |
1.26 |
K (mg/l) |
0.61 |
0.31 |
0.45 |
0.19 |
3.61 |
0.11 |
Ca (mg/l) |
5.14 |
10.25 |
4.12 |
3.71 |
16.1 |
2.30 |
Mg (mg/l) |
1.92 |
5.11 |
1.13 |
1.70 |
4.11 |
1.12 |
Cl
(mg/l) |
34.1 |
146.6 |
29.5 |
36.1 |
282.3 |
29.1 |
P (mg/l) |
3.10 |
9.10 |
0.94 |
1.91 |
10.12 |
1.26 |
NH4N
(mg/l) |
0.060 |
1.020 |
0.034 |
0.119 |
2.120 |
0.053 |
NO3 (mg/l) |
3.36 |
8.11 |
2.10 |
1.81 |
7.18 |
1.44 |
SO4 (mg/l) |
0.16 |
0.40 |
0.81 |
0.90 |
4.11 |
0.40 |
Fe (mg/l) |
1.30 |
2.65 |
0.11 |
2.11 |
6.81 |
1.69 |
Mn
(mg/l) |
0.013 |
0.016 |
0.009 |
0.08 |
0.112 |
0.042 |
Zn (mg/l) |
0.13 |
0.10 |
0.15 |
1.00 |
3.10 |
0.71 |
Cu (mg/l) |
0.065 |
0.128 |
0.019 |
0.30 |
0.78 |
0.012 |
Cr (mg/l) |
0.014 |
0.018 |
0.002 |
0.016 |
0.056 |
0.009 |
Cd
(mg/l) |
0.012 |
0.046 |
0.006 |
0.025 |
0.061 |
0.017 |
Ni (mg/l) |
ND |
ND |
ND |
0.018 |
0.039 |
0.005 |
Pb
(mg/l) |
0.005 |
0.011 |
0.001 |
0.021 |
0.038 |
0.013 |
V (mg/l) |
ND |
ND |
ND |
0.005 |
0.021 |
0.003 |
THC (mg/l) |
0.08 |
0.14 |
0.03 |
0.24 |
0.38 |
0.06 |
US– Upstream,
DS– Downstream, DP– Discharge Point, ND– Not Detected
Table
3: Physicochemical Analysis of Dry and Wet Seasons Samples – Day 28
Parameters |
Dry Season |
Wet Season |
||||
Sample Code
Sample Code |
||||||
|
DS |
DP |
US |
DS |
DP |
US |
Temp. (0C) |
30.5 |
32.5 |
30.0 |
26.0 |
28.0 |
26.0 |
pH |
7.1 |
9.5 |
6.4 |
6.5 |
8.3 |
6.0 |
EC (µS/cm) |
153.4 |
290.1 |
121.8 |
140.0 |
168.1 |
102.2 |
Sal. (g/l) |
0.069 |
0.131 |
0.055 |
0.050 |
0.086 |
0.037 |
Col. (Pt.Co) |
5.7 |
9.1 |
3.8 |
9.8 |
25.6 |
6.8 |
Turb. (NTU) |
4.4 |
8.3 |
2.9 |
9.6 |
15.1 |
5.9 |
TSS (mg/l) |
6.1 |
12.4 |
4.2 |
10.7 |
36.1 |
4.8 |
TDS (mg/l) |
78.7 |
150.3 |
61.7 |
68.4 |
160.3 |
30.1 |
DO (mg/l) |
4.2 |
3.8 |
5.6 |
6.0 |
5.2 |
7.6 |
BOD5 (mg/l) |
10.4 |
39.2 |
2.5 |
18.6 |
50.1 |
6.0 |
COD (mg/l) |
37.6 |
153.8 |
10.2 |
90.1 |
366.3 |
14.9 |
HCO3 (mg/l) |
54.9 |
61.1 |
42.7 |
57.6 |
101.2 |
26.3 |
Na (mg/l) |
2.46 |
5.11 |
1.80 |
2.6 |
11.3 |
1.4 |
K (mg/l) |
0.43 |
0.98 |
0.33 |
0.18 |
2.66 |
0.17 |
Ca (mg/l) |
4.28 |
9.33 |
3.40 |
3.28 |
16.3 |
1.29 |
Mg (mg/l) |
1.27 |
3.65 |
1.02 |
1.39 |
4.22 |
1.62 |
Cl (mg/l) |
21.2 |
35.4 |
17.7 |
28.9 |
202.1 |
26.1 |
P (mg/l) |
3.69 |
7.38 |
0.74 |
1.89 |
11.1 |
1.65 |
NH4N (mg/l) |
0.047 |
0.335 |
0.018 |
0.116 |
2.002 |
0.063 |
NO3 (mg/l) |
2.44 |
9.56 |
1.02 |
2.71 |
10.7 |
2.1 |
SO4 (mg/l) |
0.34 |
0.61 |
0.15 |
0.81 |
3.29 |
0.41 |
Fe (mg/l) |
1.36 |
2.44 |
0.82 |
2.94 |
6.86 |
1.21 |
Mn (mg/l) |
0.011 |
0.018 |
0.027 |
0.091 |
0.109 |
0.048 |
Zn (mg/l) |
0.32 |
0.94 |
0.12 |
0.80 |
3.16 |
0.66 |
Cu (mg/l) |
0.098 |
0.134 |
0.017 |
0.33 |
0.92 |
0.016 |
Cr (mg/l) |
0.019 |
0.036 |
0.006 |
0.014 |
0.060 |
0.010 |
Cd (mg/l) |
0.010 |
0.024 |
ND |
0.031 |
0.066 |
0.012 |
Ni (mg/l) |
ND |
ND |
ND |
0.014 |
0.036 |
0.006 |
Pb (mg/l) |
0.007 |
0.013 |
0.004 |
0.023 |
0.051 |
0.004 |
V (mg/l) |
ND |
ND |
ND |
0.004 |
0.032 |
0.006 |
THC (mg/l) |
0.06 |
0.10 |
0.02 |
0.26 |
0.42 |
0.07 |
US– Upstream,
DS– Downstream, DP– Discharge Point, ND– Not Detected
Table
4: Physicochemical Analysis of Dry and Wet Seasons Samples – Day 42
Parameters |
Dry
Season |
Wet
Season |
|||||
Sample
Code
Sample Code |
|||||||
|
DS |
DP |
US |
DS |
DP |
US |
|
Temp. (0C) |
30.0 |
32.0 |
30.0 |
24.0 |
26.0 |
23.5 |
|
pH |
7.0 |
9.3 |
6.2 |
6.1 |
8.7 |
5.9 |
|
EC (µS/cm) |
143.4 |
300.2 |
126.2 |
136 |
1,320 |
110 |
|
Sal. (g/l) |
0.071 |
0.133 |
0.061 |
0.051 |
0.078 |
0.040 |
|
Col. (Pt.Co) |
5.3 |
8.1 |
3.7 |
9.3 |
22.5 |
5.8 |
|
Turb.
(NTU) |
3.4 |
9.4 |
2.8 |
8.9 |
16.1 |
5.4 |
|
TSS (mg/l) |
6.6 |
13.1 |
4.3 |
10.2 |
39.9 |
8.4 |
|
TDS (mg/l) |
75.8 |
161.3 |
62.4 |
69.6 |
201.0 |
51.6 |
|
DO (mg/l) |
4.9 |
4.0 |
5.8 |
7.0 |
5.4 |
7.8 |
|
BOD5 (mg/l) |
22.5 |
78.2 |
27.0 |
20.0 |
48.6 |
7.6 |
|
COD (mg/l) |
36.7 |
151.9 |
10.3 |
88.6 |
269.5 |
13.8 |
|
HCO3 (mg/l) |
56.4 |
62.1 |
42.6 |
56.6 |
199.0 |
25.6 |
|
Na (mg/l) |
2.41 |
5.14 |
1.83 |
2.7 |
9.4 |
14.0 |
|
K (mg/l) |
0.46 |
0.88 |
0.38 |
0.19 |
2.21 |
0.15 |
|
Ca (mg/l) |
4.38 |
9.21 |
3.41 |
3.3 |
17.2 |
1.2 |
|
Mg (mg/l) |
1.30 |
3.61 |
1.03 |
1.31 |
4.60 |
1.71 |
|
Cl
(mg/l) |
23.1 |
27.8 |
18.1 |
29.1 |
220.0 |
25.6 |
|
P (mg/l) |
3.80 |
7.50 |
0.67 |
2.0 |
15.6 |
1.8 |
|
NH4N
(mg/l) |
0.050 |
0.420 |
0.019 |
0.117 |
2.11 |
0.060 |
|
NO3 (mg/l) |
2.60 |
8.75 |
1.04 |
2.8 |
12.5 |
2.5 |
|
SO4 (mg/l) |
0.24 |
0.64 |
0.16 |
0.90 |
3.20 |
0.38 |
|
Fe (mg/l) |
1.39 |
3.10 |
0.61 |
2.84 |
6.01 |
2.10 |
|
Mn
(mg/l) |
0.012 |
0.020 |
0.031 |
0.089 |
0.106 |
0.051 |
|
Zn (mg/l) |
0.36 |
1.02 |
0.10 |
0.80 |
3.66 |
0.75 |
|
Cu (mg/l) |
0.03 |
0.04 |
0.02 |
0.40 |
1.01 |
0.018 |
|
Cr (mg/l) |
0.088 |
0.146 |
0.025 |
0.024 |
0.620 |
0.016 |
|
Cd
(mg/l) |
0.011 |
0.028 |
0.001 |
0.036 |
0.073 |
0.013 |
|
Ni (mg/l) |
0.002 |
0.004 |
ND |
0.016 |
0.039 |
0.050 |
|
Pb
(mg/l) |
0.009 |
0.015 |
0.003 |
0.021 |
0.041 |
0.020 |
|
V (mg/l) |
ND |
0.006 |
ND |
0.003 |
0.038 |
0.004 |
|
THC (mg/l) |
0.08 |
0.12 |
0.03 |
0.29 |
0.45 |
0.07 |
|
US– Upstream,DS– Downstream, DP–
Discharge Point, ND– Not Detected
Table 5: Physicochemical Analysis of Dry and
Wet Seasons Samples – Day 56
Parameters |
Dry Season |
Wet Season |
|||||
Sample Code
Sample Code |
|||||||
|
DS |
DP |
US |
DS |
DP |
US |
|
Temp. (0C) |
29.5 |
31.9 |
29.1 |
24.0 |
26.0 |
23.0 |
|
pH
|
6.3 |
5.3 |
6.1 |
6.7 |
8.5 |
6.4 |
|
EC (µS/cm) |
120 |
1750 |
70 |
131.0 |
260.1 |
90.2 |
|
Sal. (g/l) |
0.054 |
0.791 |
0.032 |
0.021 |
0.063 |
0.010 |
|
Col. (Pt.Co) |
8.9 |
16.8 |
6.6 |
8.99 |
19.4 |
7.0 |
|
Turb.
(NTU) |
7.1 |
12.0 |
5.2 |
8.5 |
14.4 |
5.6 |
|
TSS (mg/l) |
9.0 |
32.7 |
5.8 |
10.3 |
34.8 |
6.8 |
|
TDS (mg/l) |
59 |
880 |
34 |
50.1 |
240.0 |
20.0 |
|
DO (mg/l) |
4.8 |
4.3 |
6.1 |
5.2 |
4.9 |
7.0 |
|
BOD5 (mg/l) |
19.1 |
55.8 |
4.6 |
18.8 |
53.4 |
5.5 |
|
COD (mg/l) |
63.9 |
194.2 |
15.8 |
73.3 |
255.1 |
23.2 |
|
HCO3 (mg/l) |
67.1 |
98.6 |
30.5 |
66.1 |
101.5 |
39.1 |
|
Na (mg/l) |
1.95 |
9.53 |
1.39 |
1.86 |
6.12 |
2.30 |
|
K (mg/l) |
0.27 |
2.86 |
0.10 |
0.36 |
3.63 |
0.92 |
|
Ca (mg/l) |
3.65 |
14.2 |
2.11 |
2.88 |
15.3 |
2.68 |
|
Mg (mg/l) |
1.38 |
4.05 |
0.82 |
1.44 |
4.11 |
1.67 |
|
Cl
(mg/l) |
26.8 |
191.5 |
24.8 |
30.8 |
214.5 |
20.2 |
|
P (mg/l) |
1.69 |
9.59 |
1.14 |
1.21 |
8.10 |
1.15 |
|
NH4N (mg/l) |
0.108 |
1.160 |
0.052 |
0.192 |
1.261 |
0.022 |
|
NO3 (mg/l) |
1.71 |
6.83 |
1.33 |
2.10 |
10.3 |
1.24 |
|
SO4 (mg/l) |
0.65 |
3.19 |
0.26 |
0.80 |
4.19 |
0.36 |
|
Fe (mg/l) |
1.94 |
5.39 |
0.63 |
2.11 |
6.43 |
1.98 |
|
Mn
(mg/l) |
0.065 |
0.091 |
0.032 |
0.091 |
0.124 |
0.062 |
|
Zn (mg/l) |
0.76 |
1.13 |
0.40 |
0.89 |
3.88 |
0.83 |
|
Cu (mg/l) |
0.036 |
0.077 |
0.009 |
0.51 |
1.18 |
0.020 |
|
Cr (mg/l) |
0.028 |
0.057 |
0.014 |
0.010 |
0.69 |
0.016 |
|
Cd
(mg/l) |
0.017 |
0.048 |
0.012 |
0.032 |
0.068 |
0.014 |
|
Ni (mg/l) |
0.011 |
0.021 |
0.003 |
0.019 |
0.041 |
0.006 |
|
Pb
(mg/l) |
0.016 |
0.027 |
ND |
0.018 |
0.029 |
0.003 |
|
V (mg/l) |
0.009 |
0.018 |
0.002 |
0.010 |
0.020 |
0.004 |
|
THC (mg/l) |
0.19 |
0.35 |
0.09 |
0.22 |
0.41 |
0.11 |
|
US– Upstream,
DS– Downstream, DP– Discharge Point, ND– Not Detected
CONCLUSIONS-
The
research has unraveled that brewery effluent is mainly responsible for the
pollution of Ikpoba River resulting in the discharged
of organic and inorganic wastes. The result of physicochemical analysis
revealed the presence of organic and inorganic compounds such as Hydrocarbon,
Magnesium, Calcium, Phosphorus, Chloride, Ammonium Nitrogen (NH4N),
Nitrate, Sulphate and heavy metals due to discharge
of brewery effluent, farming activities at the bank of the River (through the
application of fertilizer) and non-point sources (through weathering). The
presence of inorganic compounds such as Phosphorus, Ammonium Nitrogen, Nitrate,
Sulphate could enrich the
water body, promote algal growth, clog the water surface thereby making the
water anoxic. The deficit of this
essential gas could result in the death of aquatic organisms. Also, the
presence of heavy metals like lead, cadmium etc., (when in reasonable
proportions) poses a serious health threat to the popular when they are
incorporated into the cells of small aquatic organisms (diatoms) in the water,
fishes in the water feed on them and the fishes are caught and consumed by
human beings. This could result in mass death of people in near future if
stringent measures are not taken.
Those
farming at the bank of the River should avoid excessive use of fertilizer that
could drain into the River and enrich the water body. The brewery close to the
River should endeavor to treat their wastewater before discharging into the Ikpoba River to protect the natural resources, retain the
aesthetic value and protect the ecosystem from extinction. The present
physicochemical status of Ikpoba River calls for
public health attention as the water did not meet up with the acceptable
standard for potable.
CONTRIBUTION OF
AUTHORS
Akpe Azuka
Romanus- Research
concept/Design, Supervision, Funding, Data analysis and interpretation, writing
article, critical review and final approval.
Femi
Imah Justus- Sample collection and
Processing, sourcing for materials/reagents, Funding, Literature search, Data
analysis and interpretation and writing of article.
Okwu Grace Ifeoma-
Literature search, Sample processing, Funding and Critical review.
Obiazi Helen-
Literature search, sourcing for materials/reagents, Sample processing, Funding.
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