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Adamu Mustapha., IJSIT, 2013, 2(6), 510-517

THE INFLUENCE OF SILICONE ANTIFOAM FROM LEATHER AND DYING
WASTE WATER EFFLUENT ON TURBIDITY AND CHEMICAL OXYGEN
DEMAND IN BOMPAI INDUSTRIAL ESTATE KANO REGION NIGERIA
Adamu Mustapha
Faculty of Earth and Environmental Sciences, Kano University of Science and Technology, Wudil, Nigeria

ABSTRACT
This study investigates the influence of silicone antifoam agent on waste water from Gashash leather
and Nigerian Spinning and Dying industries (NSD). Waste water from the outlet of the industries were
collected and analyzed for physicochemical parameters. Silicone antifoam was added to the wastewater to
determine the impact of the silicone antifoam on turbidity and chemical oxygen demand (COD)
concentrations. The result shows that both turbidity and COD values significantly increased even when small
concentration of the silicone antifoam was added. Further, independent t-test was used to identify the
variance between the mean value of the wastewater from leather, spinning and dying industries, the results
indicated that there are no significant differences (observed t 0.544, critical t 2.015, and p value 0.589)
between the waste water in leather and dying industries.
Keywords: Silicone antifoam, turbidity, COD, Independent sample t-test

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Adamu Mustapha., IJSIT, 2013, 2(6), 510-517

INTRODUCTION
Industrial pollution is one of the problems facing Nigeria and effluent generated by the industries is
one of the sources of surface water pollution [1, 2]. Industries consume large quantities of water and
discharge considerable amount of quantities of waste water during their production process [3].
Development of industrial civilization has led to a considerable deterioration of the main element of the
environment. Dynamic growth of global industrial output and an increase rate of non-renewable resources
are manifestations of activities that may pose a serious threat to life on earth [4]. Industrial waste generally
has assumed exponential increases as a result of rapid growth of industrial development in the urban centres
where large volume of effluent are generated due to multiple production of goods in the industrial sectors [5].
Surface water of many industries in the developing countries is becoming heavily polluted by industrial
effluent which is either directly discharge or partially treated in to the water body [6].
Pollution from industrial discharges and waste water are one of the main causes of irreversible
ecosystem degradation [7]. Disposal of sewage to the surface water become a necessity as soon as industries
are established, the outcome was a deterioration of standard of many rivers and their water become useless
for either domestic consumption or industrial uses [8]. Depending on the type and amount of effluent being
generated from different type of industries, it could be concluded that, areas that find its location close to
industries are heavily polluted with industrial effluents and produce greater negative effects on the
environment [9, 10, 11].
The gradual decline in the availability of freshwater in Kano Region is due to the rapid urbanization
coupled with high population growth that leads to high demand of such resource, as a result the use of
sewage and other industrial effluent for various purposes is on the rise particularly during the dry season.
Kano State Environmental Protection Agency has made it mandatory for all industries operating in her
jurisdiction to have primary treatment plant within their premises. The State government had since 1990's
proposed to establish central secondary treatment plant that will treat all industrial waste at a central
location to safe standard before release in to the environment. The problem statement is that, the absence of
designated collection points where industries can safely dispose their waste has resulted in uncontrolled
situation and indiscriminate dumping of waste in to the environment. This waste, besides polluting the
surface water, it poses damage to environment directly or indirectly, this practice has resulted in conflict with
the local people on the edge of the industrial layout.
Silicone antifoams are one of the commercial silicone products which are used for form control in an
aqueous system. The silicone antifoams usually consist of mixture of polydimethysiloxane and hydrophobed
silica. Silicone antifoam has been widely used in many industries to control foaming problems that occur in
the process systems or in waste water effluent. Silicone comprises a multitude of technical products whose

IJSIT (www.ijsit.com), Volume 2, Issue 6, November-December 2013

511
Adamu Mustapha., IJSIT, 2013, 2(6), 510-517
property controlling component consist of polyorganosiloxanes which consist of linear or cyclic siloxane and
represent the major portion of commercially available silicones. Foams are agglomeration of gas bubbles
separated from each other by thin liquid film, they belongs to the aggregation of two phases, gases dispersion
in liquid films. Silicone antifoam is used to curb surface foams from occurring in wastewater effluent.
In this study, we examined the effects of the use of the antifoam on turbidity, chemical oxygen
demand (COD) and silica values in the waste water effluent generated by leather and dying industries in
Bompai Industrial estate Kano Region Nigeria.

MATERIALS AND METHODS
Two stations were selected which includes Gashash Tannery and Nigerian Spinning and Dying (NSD)
industries in Bompai Industrial estate, Kano Region, Nigeria. Samples were carried out at the effluent outlet
from discharge pipe at both station and the frequency of sampling was once daily in the morning on the
alternate days each month for two consecutive months. Samples were collected in triplicates at each station.
Samples were collected using grab sampling in clean polyethylene bottle after proper rinsing 2-3 times. All
samples were kept in a 1 L glass bottle which has been rinsed with the samples. 6 beakers each containing
200 mL of sample were treated with 6 different concentration of silicone antifoams at 0.01 mg/L, 0.03 mg/L,
0.05 mg/L, 0.10 mg/L, and 0.20 mg/L. In order to provide greater data confidence from the analytical
procedure regarding bias and variability appropriate quality-assurance and quality-control (QA/QC) on
water samples were ensured. The QA/QC were followed to ensure that data products are of documented high
quality and reproducible. The overall data quality is assessed through precision, accuracy and comparability.
An Independent sample t-test was used to compare the mean (average value) of two variables. The
null hypothesis says that the two means do not differ from one another significantly (there are no differences
between the mean) against alternative hypothesis that the two means are not the same. Calculated t-value
can be computed using the equation below:

t

x 
x

s
sx
n

Where t is the test statistics (Student’s t distribution) for

x is the mean sample,  is the population means, S

is the standard deviation of the sample and n is the sample size.
Independent sample t-test can be computed using the equation below when unequal variance is
assumed.

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512
Adamu Mustapha., IJSIT, 2013, 2(6), 510-517

t 

x1  x2
2
2
s1
s2

n1
n2

When equal variance is assumed independent t-test can be computed using the equation below:

t 

x1  x2
s2
p
n1

Where t – test statistic (Student’s t distribution),



s2
p
n2

x is the mean of the paired difference for the

sample, s 2 is the standard error of the mean of the paired differences for the sample and n1 and n2 are the
p

number of the paired difference values.

RESULT AND DISCUSSIONS
Table 1 presents the results water samples of laboratory analysis from Gashash tannery and Nigerian
Spinning and Dying industries. The given values are the average of 3 samples. The turbidity values of 4.1667
NTU was recorded in leather waste water which was slightly lower when compared with effluent from dying
industry. The COD value was much higher in Gashash leather waste water with 56.475 mg/L as compared to
NSD industry with 25.033 mg/L.

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Adamu Mustapha., IJSIT, 2013, 2(6), 510-517

Parameter

unit

Gashash Leather

NSD Dyeing

Turbidity

NTU

4.1667

4.25

7.389

7.115

pH
COD

mg/L

56.475

25.033

BOD5

mg/L

15.409

6.95

TSS

mg/L

3.8

5.625

Hg

mg/L

0.00675

0.0056

Cd

mg/L

0.01

0.001

Cr+6

mg/L

0.001

0.01

As

mg/L

0.001

0.0026

Cn

mg/L

0.01

0.02

Pb

mg/L

0.064

0.02

Cr+3

mg/L

0.01

0.015

Cu

mg/L

0.1044

0.0625

Mn

mg/L

0.043

0.04

Ni

mg/L

0.275

0.02

Sn

mg/L

0.305

0.43

Zn

mg/L

0.174

0.095

B

mg/L

0.775

0.03

Fe

mg/L

0.735

0.4425

Phenol

mg/L

0.192

0.138

Free Chlorine

mg/L

0.2675

0.21

SO4

mg/L

0.02

0.3

Oil &Grease

2

7.025

Foam

yes

yes

Table 1: Result of laboratory analysis of Gashash and NSD waste water
Table 2 presented the concentration of silicone antifoam (ppm) which indicated that small amount of
concentration of silicone antifoam increase the the mean of turbidity value. The turbidy level was 4,667 NTU
when there is no addition of silcone antifoam, when 0.01 ppm of antifoam was added the turbidity level
increased to 16.333 NTU. The higher the concentration of silicone antifoam added, the more tubib the
wastewater effluent became.

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Adamu Mustapha., IJSIT, 2013, 2(6), 510-517
Silicone Antifoam Conc (ppm)

Turbidity (NTU)

0(control)

4.667

0.01

16.333

0.03

36.667

0.05

56.667

0.1

102.167

0.15

154.667

0.2

184.333

Table 2: The influence of silicone antifoam on turbidity level

Figure 1: The relationship between concentration of silicone antifoam and turbidity value
The silicone antiform concentration in relation to chemical oxygen demand showed that the antiform
concentration at 0.01, 0.03,0.05, 0.1, 0.15 and 0.20 increased (Table 3). Antifoarm concentration of 0.01
increased COD with 50%, at 0.03 ppm of silicone antifoam COD increase to138.3% which exceeded the value
of World Health Organization of COD in wastewater. Figure 2 spresent the high slope value which indicated
that the addition of silicone antifoam significantly increasess the wastewater effluent COD value.

IJSIT (www.ijsit.com), Volume 2, Issue 6, November-December 2013

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Adamu Mustapha., IJSIT, 2013, 2(6), 510-517
Silicone Antifoam Conc (ppm)

COD (mg/L)

0(control)

49.67

0.01

90.50

0.03

138.83

0.05

248.66

0.1

469.83

0.15

723.17

0.20

931.17

Table 3:The influence of silicone antifoam on Chemical Oxygen Demand (COD) level

Figure 2: The relationship between concentration of silicone antifoam and COD value
An Independent t-test was applied on the data set to test the hypothesis that there is significant
differences in the mean value of waste water between Gashash leather and Nigerian Spinning and dying
industries. The result obtained was presented on Table 4.
Difference

1.495

t (Observed value)

0.544

|t| (Critical value)

2.015

DF

44

p-value (Two-tailed)

0.589

alpha

0.05

Table 4:Independent t- test result

IJSIT (www.ijsit.com), Volume 2, Issue 6, November-December 2013

516
Adamu Mustapha., IJSIT, 2013, 2(6), 510-517
The decision was that, the null hypothesis was fail to be rejected because the critical t value was
greater than the observed t value and the p of 0.589 value was greater that the alpha value of 0.05. This
showed that the concentration of waste water in Gashash leather industry is the same with the waste water in
the Nigeria Spinning and dying (NSD) industry.

CONCLUSION
Turbidity and chemical oxygen demand showed a positive gradient with silicone antifoam
concentration. Industrial waste generally has assumed an exponential increases as a result of rapid growth of
industrial development in the urban centres where large volume of effluent are generated due to multiple
production of goods in the industrial sectors. Surface water of many industrial countries are becoming
heavily polluted by industrial effluent which are either directly discharge or partially treated in to the water
body. Polluting industrial discharges and waste water are one of the main causes of irreversible ecosystem
degradation. Depending on the type and amount of effluent being generated from different type of industries,
it could be concluded that, areas that find its location close to industries are heavily polluted with industrial
effluents and produce greater negative effects on the environment.

REFERENCES
1.

R. O. Yusuff and J. A. Sonibare 2004. Global Nest The International Journal, 6(3):212-221.

2.

L. Shakir, S. Ejaz, M. Ashraf, N. Ahmad and A. Javeed. 2012. Environmental Science and Pollution
Research, 19(1):492-501.

3.

J. Ma, Z. Ding, G. Wei, H. Zhao, and T. Huang. 2009, Environmental Research, 109(3):245-257.

4.

A. Astel, S. Tsakovski, V. Simeonov and E. Reisenhofer 2008, Analytical and Bioanalytical Chemistry,
390:1283-1292.

5.

S. Srinivasa Gowd and P.K. Govil. 2008, Environmental Monitoring and Assessment, 136(1):197-207.

6.

A. Mustapha and A.Z. Aris. 2012, Journal of Environmental Science and Health Part A, 47(10):14551465.

7.

T. Rajaram and A. Das. 2008, Future, 40(1): 56-69.

8.

P. Satheeshkumar, and D. Senthilkumar. 2011, Journal of Environment and Earth Science, 1(1)30-48.

9.

A. Mustapha and A.Z. Aris. 2012, Polish Journal of Environmental Studies, 21(5):1359-1367.

10. A. Mustapha, A.Z. Aris, M.F. Ramli, H. Juahir. 2012, Journal of Environmental Science and Health Part
A, 47(11)1551-1560.
11. A. Mustapha and A.B. Nabegu. 2011, Australian Journal of Basic and Applied Sciences, 5(12): 1507.

IJSIT (www.ijsit.com), Volume 2, Issue 6, November-December 2013

517

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THE INFLUENCE OF SILICONE ANTIFOAM FROM LEATHER AND DYING WASTE WATER EFFLUENT ON TURBIDITY AND CHEMICAL OXYGEN DEMAND IN BOMPAI INDUSTRIAL ESTATE KANO REGION NIGERIA

  • 1. Adamu Mustapha., IJSIT, 2013, 2(6), 510-517 THE INFLUENCE OF SILICONE ANTIFOAM FROM LEATHER AND DYING WASTE WATER EFFLUENT ON TURBIDITY AND CHEMICAL OXYGEN DEMAND IN BOMPAI INDUSTRIAL ESTATE KANO REGION NIGERIA Adamu Mustapha Faculty of Earth and Environmental Sciences, Kano University of Science and Technology, Wudil, Nigeria ABSTRACT This study investigates the influence of silicone antifoam agent on waste water from Gashash leather and Nigerian Spinning and Dying industries (NSD). Waste water from the outlet of the industries were collected and analyzed for physicochemical parameters. Silicone antifoam was added to the wastewater to determine the impact of the silicone antifoam on turbidity and chemical oxygen demand (COD) concentrations. The result shows that both turbidity and COD values significantly increased even when small concentration of the silicone antifoam was added. Further, independent t-test was used to identify the variance between the mean value of the wastewater from leather, spinning and dying industries, the results indicated that there are no significant differences (observed t 0.544, critical t 2.015, and p value 0.589) between the waste water in leather and dying industries. Keywords: Silicone antifoam, turbidity, COD, Independent sample t-test IJSIT (www.ijsit.com), Volume 2, Issue 6, November-December 2013 510
  • 2. Adamu Mustapha., IJSIT, 2013, 2(6), 510-517 INTRODUCTION Industrial pollution is one of the problems facing Nigeria and effluent generated by the industries is one of the sources of surface water pollution [1, 2]. Industries consume large quantities of water and discharge considerable amount of quantities of waste water during their production process [3]. Development of industrial civilization has led to a considerable deterioration of the main element of the environment. Dynamic growth of global industrial output and an increase rate of non-renewable resources are manifestations of activities that may pose a serious threat to life on earth [4]. Industrial waste generally has assumed exponential increases as a result of rapid growth of industrial development in the urban centres where large volume of effluent are generated due to multiple production of goods in the industrial sectors [5]. Surface water of many industries in the developing countries is becoming heavily polluted by industrial effluent which is either directly discharge or partially treated in to the water body [6]. Pollution from industrial discharges and waste water are one of the main causes of irreversible ecosystem degradation [7]. Disposal of sewage to the surface water become a necessity as soon as industries are established, the outcome was a deterioration of standard of many rivers and their water become useless for either domestic consumption or industrial uses [8]. Depending on the type and amount of effluent being generated from different type of industries, it could be concluded that, areas that find its location close to industries are heavily polluted with industrial effluents and produce greater negative effects on the environment [9, 10, 11]. The gradual decline in the availability of freshwater in Kano Region is due to the rapid urbanization coupled with high population growth that leads to high demand of such resource, as a result the use of sewage and other industrial effluent for various purposes is on the rise particularly during the dry season. Kano State Environmental Protection Agency has made it mandatory for all industries operating in her jurisdiction to have primary treatment plant within their premises. The State government had since 1990's proposed to establish central secondary treatment plant that will treat all industrial waste at a central location to safe standard before release in to the environment. The problem statement is that, the absence of designated collection points where industries can safely dispose their waste has resulted in uncontrolled situation and indiscriminate dumping of waste in to the environment. This waste, besides polluting the surface water, it poses damage to environment directly or indirectly, this practice has resulted in conflict with the local people on the edge of the industrial layout. Silicone antifoams are one of the commercial silicone products which are used for form control in an aqueous system. The silicone antifoams usually consist of mixture of polydimethysiloxane and hydrophobed silica. Silicone antifoam has been widely used in many industries to control foaming problems that occur in the process systems or in waste water effluent. Silicone comprises a multitude of technical products whose IJSIT (www.ijsit.com), Volume 2, Issue 6, November-December 2013 511
  • 3. Adamu Mustapha., IJSIT, 2013, 2(6), 510-517 property controlling component consist of polyorganosiloxanes which consist of linear or cyclic siloxane and represent the major portion of commercially available silicones. Foams are agglomeration of gas bubbles separated from each other by thin liquid film, they belongs to the aggregation of two phases, gases dispersion in liquid films. Silicone antifoam is used to curb surface foams from occurring in wastewater effluent. In this study, we examined the effects of the use of the antifoam on turbidity, chemical oxygen demand (COD) and silica values in the waste water effluent generated by leather and dying industries in Bompai Industrial estate Kano Region Nigeria. MATERIALS AND METHODS Two stations were selected which includes Gashash Tannery and Nigerian Spinning and Dying (NSD) industries in Bompai Industrial estate, Kano Region, Nigeria. Samples were carried out at the effluent outlet from discharge pipe at both station and the frequency of sampling was once daily in the morning on the alternate days each month for two consecutive months. Samples were collected in triplicates at each station. Samples were collected using grab sampling in clean polyethylene bottle after proper rinsing 2-3 times. All samples were kept in a 1 L glass bottle which has been rinsed with the samples. 6 beakers each containing 200 mL of sample were treated with 6 different concentration of silicone antifoams at 0.01 mg/L, 0.03 mg/L, 0.05 mg/L, 0.10 mg/L, and 0.20 mg/L. In order to provide greater data confidence from the analytical procedure regarding bias and variability appropriate quality-assurance and quality-control (QA/QC) on water samples were ensured. The QA/QC were followed to ensure that data products are of documented high quality and reproducible. The overall data quality is assessed through precision, accuracy and comparability. An Independent sample t-test was used to compare the mean (average value) of two variables. The null hypothesis says that the two means do not differ from one another significantly (there are no differences between the mean) against alternative hypothesis that the two means are not the same. Calculated t-value can be computed using the equation below: t x  x  s sx n Where t is the test statistics (Student’s t distribution) for x is the mean sample,  is the population means, S is the standard deviation of the sample and n is the sample size. Independent sample t-test can be computed using the equation below when unequal variance is assumed. IJSIT (www.ijsit.com), Volume 2, Issue 6, November-December 2013 512
  • 4. Adamu Mustapha., IJSIT, 2013, 2(6), 510-517 t  x1  x2 2 2 s1 s2  n1 n2 When equal variance is assumed independent t-test can be computed using the equation below: t  x1  x2 s2 p n1 Where t – test statistic (Student’s t distribution),  s2 p n2 x is the mean of the paired difference for the sample, s 2 is the standard error of the mean of the paired differences for the sample and n1 and n2 are the p number of the paired difference values. RESULT AND DISCUSSIONS Table 1 presents the results water samples of laboratory analysis from Gashash tannery and Nigerian Spinning and Dying industries. The given values are the average of 3 samples. The turbidity values of 4.1667 NTU was recorded in leather waste water which was slightly lower when compared with effluent from dying industry. The COD value was much higher in Gashash leather waste water with 56.475 mg/L as compared to NSD industry with 25.033 mg/L. IJSIT (www.ijsit.com), Volume 2, Issue 6, November-December 2013 513
  • 5. Adamu Mustapha., IJSIT, 2013, 2(6), 510-517 Parameter unit Gashash Leather NSD Dyeing Turbidity NTU 4.1667 4.25 7.389 7.115 pH COD mg/L 56.475 25.033 BOD5 mg/L 15.409 6.95 TSS mg/L 3.8 5.625 Hg mg/L 0.00675 0.0056 Cd mg/L 0.01 0.001 Cr+6 mg/L 0.001 0.01 As mg/L 0.001 0.0026 Cn mg/L 0.01 0.02 Pb mg/L 0.064 0.02 Cr+3 mg/L 0.01 0.015 Cu mg/L 0.1044 0.0625 Mn mg/L 0.043 0.04 Ni mg/L 0.275 0.02 Sn mg/L 0.305 0.43 Zn mg/L 0.174 0.095 B mg/L 0.775 0.03 Fe mg/L 0.735 0.4425 Phenol mg/L 0.192 0.138 Free Chlorine mg/L 0.2675 0.21 SO4 mg/L 0.02 0.3 Oil &Grease 2 7.025 Foam yes yes Table 1: Result of laboratory analysis of Gashash and NSD waste water Table 2 presented the concentration of silicone antifoam (ppm) which indicated that small amount of concentration of silicone antifoam increase the the mean of turbidity value. The turbidy level was 4,667 NTU when there is no addition of silcone antifoam, when 0.01 ppm of antifoam was added the turbidity level increased to 16.333 NTU. The higher the concentration of silicone antifoam added, the more tubib the wastewater effluent became. IJSIT (www.ijsit.com), Volume 2, Issue 6, November-December 2013 514
  • 6. Adamu Mustapha., IJSIT, 2013, 2(6), 510-517 Silicone Antifoam Conc (ppm) Turbidity (NTU) 0(control) 4.667 0.01 16.333 0.03 36.667 0.05 56.667 0.1 102.167 0.15 154.667 0.2 184.333 Table 2: The influence of silicone antifoam on turbidity level Figure 1: The relationship between concentration of silicone antifoam and turbidity value The silicone antiform concentration in relation to chemical oxygen demand showed that the antiform concentration at 0.01, 0.03,0.05, 0.1, 0.15 and 0.20 increased (Table 3). Antifoarm concentration of 0.01 increased COD with 50%, at 0.03 ppm of silicone antifoam COD increase to138.3% which exceeded the value of World Health Organization of COD in wastewater. Figure 2 spresent the high slope value which indicated that the addition of silicone antifoam significantly increasess the wastewater effluent COD value. IJSIT (www.ijsit.com), Volume 2, Issue 6, November-December 2013 515
  • 7. Adamu Mustapha., IJSIT, 2013, 2(6), 510-517 Silicone Antifoam Conc (ppm) COD (mg/L) 0(control) 49.67 0.01 90.50 0.03 138.83 0.05 248.66 0.1 469.83 0.15 723.17 0.20 931.17 Table 3:The influence of silicone antifoam on Chemical Oxygen Demand (COD) level Figure 2: The relationship between concentration of silicone antifoam and COD value An Independent t-test was applied on the data set to test the hypothesis that there is significant differences in the mean value of waste water between Gashash leather and Nigerian Spinning and dying industries. The result obtained was presented on Table 4. Difference 1.495 t (Observed value) 0.544 |t| (Critical value) 2.015 DF 44 p-value (Two-tailed) 0.589 alpha 0.05 Table 4:Independent t- test result IJSIT (www.ijsit.com), Volume 2, Issue 6, November-December 2013 516
  • 8. Adamu Mustapha., IJSIT, 2013, 2(6), 510-517 The decision was that, the null hypothesis was fail to be rejected because the critical t value was greater than the observed t value and the p of 0.589 value was greater that the alpha value of 0.05. This showed that the concentration of waste water in Gashash leather industry is the same with the waste water in the Nigeria Spinning and dying (NSD) industry. CONCLUSION Turbidity and chemical oxygen demand showed a positive gradient with silicone antifoam concentration. Industrial waste generally has assumed an exponential increases as a result of rapid growth of industrial development in the urban centres where large volume of effluent are generated due to multiple production of goods in the industrial sectors. Surface water of many industrial countries are becoming heavily polluted by industrial effluent which are either directly discharge or partially treated in to the water body. Polluting industrial discharges and waste water are one of the main causes of irreversible ecosystem degradation. Depending on the type and amount of effluent being generated from different type of industries, it could be concluded that, areas that find its location close to industries are heavily polluted with industrial effluents and produce greater negative effects on the environment. REFERENCES 1. R. O. Yusuff and J. A. Sonibare 2004. Global Nest The International Journal, 6(3):212-221. 2. L. Shakir, S. Ejaz, M. Ashraf, N. Ahmad and A. Javeed. 2012. Environmental Science and Pollution Research, 19(1):492-501. 3. J. Ma, Z. Ding, G. Wei, H. Zhao, and T. Huang. 2009, Environmental Research, 109(3):245-257. 4. A. Astel, S. Tsakovski, V. Simeonov and E. Reisenhofer 2008, Analytical and Bioanalytical Chemistry, 390:1283-1292. 5. S. Srinivasa Gowd and P.K. Govil. 2008, Environmental Monitoring and Assessment, 136(1):197-207. 6. A. Mustapha and A.Z. Aris. 2012, Journal of Environmental Science and Health Part A, 47(10):14551465. 7. T. Rajaram and A. Das. 2008, Future, 40(1): 56-69. 8. P. Satheeshkumar, and D. Senthilkumar. 2011, Journal of Environment and Earth Science, 1(1)30-48. 9. A. Mustapha and A.Z. Aris. 2012, Polish Journal of Environmental Studies, 21(5):1359-1367. 10. A. Mustapha, A.Z. Aris, M.F. Ramli, H. Juahir. 2012, Journal of Environmental Science and Health Part A, 47(11)1551-1560. 11. A. Mustapha and A.B. Nabegu. 2011, Australian Journal of Basic and Applied Sciences, 5(12): 1507. IJSIT (www.ijsit.com), Volume 2, Issue 6, November-December 2013 517