Research Article | Open Access

Physicochemistry of Iko River Channel in Nigeria and the Related Human Health Problems

    Victoria Paul Tombere

    Department of Animal and Environmental Biology, University of Uyo, 520103, Uyo, Akwa Ibom, Nigeria

    Aniefiok Mkpong Okokon Okon

    Department of Animal and Environmental Biology, University of Uyo, 520103, Uyo, Akwa Ibom, Nigeria

    Godwin Asukwo Ebong

    Department of Chemistry, University of Uyo, 520103, Uyo, Akwa Ibom, Nigeria

    Anthony William Akpan

    Department of Animal and Environmental Biology, University of Uyo, 520103, Uyo, Akwa Ibom, Nigeria


Received
20 Aug, 2023
Accepted
28 Oct, 2023
Published
31 Dec, 2023

Background and Objective: Potable water is essential for all lives on earth however, the quality of water available in the oil producing area of Nigeria has been seriously degraded. This work was conducted at Nda Uko, Kampe, Utapete Flow Station, Iko, Emereoke and Jaja Creek along Iko River to establish its pollution status, cancer and non-cancer health risks associated with human exposure to the river. Materials and Methods: During this study, water samples were obtained at Nda Uko, Kampe, Utapete flow Station, Iko, Emereoke and Jaja Creek along Iko River in Eastern Obolo, Nigeria. Collection of samples was done for twelve months and a total of thirty-six composite samples were obtained and used for this study. Some parameters were determined in situ while other parameters were analysed in the laboratory using appropriate equipment. Samples for dissolved oxygen (DO), Biochemical Oxygen Demand (BOD) and chemical oxygen demand (COD) were obtained using brown BOD bottles while samples for metals analysis were treated with 1 mL of concentration HNO3 before analysis. Data and multivariate analyses were performed with IBM SPSS Statistics 20. Results: The TDS, DO, EC, turbidity, TH, Cl‾, SO42‾, NO2‾, PO43‾, Fe, Ni, Pb, Cd and Mn were higher. This was attributed mainly to the anthropogenic factor. Daily intake rates of Cd and Pb obtained were higher than the recommended reference daily doses. The Cd and Pb showed high potential for the non-cancer risks in both the children and adult populations. The total hazard indexes for both populations were higher than one. Cancer risks of Ni, Cd and Cr were very high however, the children were more susceptible. Conclusion: The total cancer risks (TCR) for both populations were higher than the acceptable limit with Ni being the main contributor.

Copyright © 2023 Tombere et al. This is an open-access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 

INTRODUCTION

The alterations of the stratosphere by human activities have caused serious devastation tothe environment all over the world1. According to Dinka2, water is one of the universal vital resources available on earth for human life. However, having access to unpolluted water sources mostly in developing nations such as Nigeria is still a serious problem3.The aquatic ecosystem within the Niger Delta Region of Nigeria has been seriously degraded by the activities of oil companies4-6. Consequently, the studied Iko within the Niger Delta Area of Nigeria is highly contaminated by domestic, agricultural and industrial wastes. It has been reported that about 3.4 million lives mostly young ones are lost yearly to water-associated ailments2. In Nigeria about 68,000 children less than five years old die of water-related diseases7. Nigeria is the third among the top ten countries where most people lack access to potable water8. An unclean water body has loads of disease causing agents and inorganic and organic contaminants and people without access to safe water sources and sanitation are prone to suffer severe health problems, especially children9,10. Prolonged exposure to unsafe water sources either directly or indirectly is responsible for about 80% of diseases globally and it kills more than other sources of death11-13.

It has been reported that the people in Iko lack access to potable water as their water sources have been seriously polluted by the activities of oil companies in the area14. Studies have been conducted to evaluate the impact of anthropogenic activities on the microbial loads of the studied Iko River15-17. Other researchers concentrated on the metal loads in water, aquatic organisms and sediments from Iko River18-20. Dickson et al.21 studied the effects of climate change on the phytoplankton composition and variability in Iko River. These studies previously carried out in Iko River the studied aquatic ecosystem confirmed the poor quality of water from Iko River.

For this reason, this study was conducted to assess the water quality and the associated cancer and non-cancer health risks related to human exposure to the studied Iko River. As water is very important for the survival of all living things including human, a routine assessment of water quality is a necessary tool for the evaluation of pollution status and provide data for planning the sustainable utilization of water resources globally22,23. Consequently, this study was conducted to assess the pollution status and health problems related to exposure to Iko River and provide information for the government on the proper planning of the provision of social resources. Previous studies never assess and established the source of contaminants in the river. This study conducted a multivariate analysis to identify the sources of contaminants in the studied aquatic ecosystem.

MATERIALS AND METHODS

Study area: Iko River channel, in Nigeria was the study area and is located in the oil producing part of the country. The river starts off from Qua Iboe River and connects Atlantic Ocean by Bight of Bonny. The shoreline of the river is characterized by mudflat during low tide. Iko River traverses through mangrove and freshwater swamps. This aquatic ecosystem which is used for intensive fishing activities has been seriously degraded by crude oil exploration activities, domestic wastes and runoff from agricultural farms. According to Bassey et al.24 the Iko fishing area of the local government area examined has an estimated population of 107,520. The area investigated lies between latitude 4°30'01.33" and longitude 8°30'01.5". The dominant plant species at each location are as follows: Station 1 (NdaUko) is the upper part of the river with Nypa palm (Nypa fruticans) as the dominant plant species. Station 2 (Kampe) is a fishing settlement with oil palm (Elaeis guineensis) and coconut Palm (Cocos nucifera L.) as the dominant plant species. The Station is located in mid-stream of the study area. Station 3 (Utapete flow station) is an abandoned flow station by an oil company with red and white mangroves (Rhizophora racemosa and Avicermia germinae) as the main plant species. Station 4 (Iko) is downstream of the river with some abandoned oil well heads dominated by Rhizophora racemosa, Avicermia germinae and Cocus mucifera. Station 5 (Emereoke) is also downstream of the river with some abandoned oil well heads dominated by Nypa fruticans, Rhizophora racemosa and Avicermia germinae. Station 6 (Jaja Creek) is a settlement where fishing activities are carried out with Nypa fruticans as the major plant species.

Sample collection and analysis: Sampling was done between July, 2017 and June, 2018 to cover the dry and wet seasons of the study area. Water samples were collected at six designated locations namely: Nda Uko, Kampe, Utapete Flow Station, Iko, Emereoke and Jaja Creek along the river using standard procedures by APHA25. The samples collected were preserved following the procedures of APHA et al.26. Samples for BOD analysis were collected in dark brown BOD bottles without trapping air, followed by the addition of 2 mL of alkaline potassium iodide (KI)27. Water samples for total trace metal analysis were collected with polyethylene bottles. The samples collected were acidified with 1 mL of concentrated HNO328,29. The pH, dissolved oxygen (DO) and electrical conductivity (EC) were determined in situ using standard methods indicated in Table 1. Samples for the determination of other physicochemical properties and trace metals were always transported to the laboratory of the University of Uyo in an icebox. The determination of parameters in the studied river was done using the procedures indicated in Table 1.

Table 1: Methods for the determination of physicochemical properties and trace metals in the studied river
Parameter Method References
pH pH Meter Hanna CE 198107 Model Ma et al.27
TSS (mg L1) Filtration and Gravimetric Adjovu et al.30
TDS (mg L1) TDS Meter Model CE 1703037 APHA et al.26
DO (mg L1) DO Meter Hanna H19146-04 Model Ma et al.27
EC (μS cm1) EC Meter Hanna CE 1703035 Ma et al.27
Salinity (mg L1) Titrimetric H 18733 Verma and Singh31
Turbidity (NTU) Spectrophotometry APHA et al.26
Total hardness (mg L1) Titrimetric Hanna Verma and Singh31
BOD (mg L1) Incubation Verma and Singh31
COD (mg L1) Titrimetric Wu et al.32
Chloride (mg L1) Argentometric Cai et al.33
Sulphate (mg L1) Spectrophotometry Cai et al.33
Nitrite (mg L1) Spectrophotometry Verma and Singh31
Nitrate (mg L1) Spectrophotometry APHA et al.26
Phosphate (mg L1) Spectrophotometry Cai et al.33
Trace metals (mg L1) Spectrophotometry Dkhar et al.34
TSS: Total suspended solids, TDS: Total dissolved solids, DO: Dissolved oxygen, EC: Electrical conductivity, BOD: Biochemical oxygen demand, COD: Chemical oxygen demand and APHA: American Public Health Association

Water quality index (WQI) assessment: The individual pollution index (Pi) which uses a water quality single parameter to assess water quality comprehensively based on the class of the water quality35 was computed using Eq. 1:

(1)

The Pi is classified as follows: 0-0.20 is clean, 0.21-0.4 is sub clean, 0.41-1.00 = slightly polluted, 1.01-2.0 indicate moderately polluted and ≥2.01 is severely polluted36.

Human health risk assessment via exposure to trace metals in the studied river: The health risks associated with exposure to individual trace metal was based on the extent of problems indicated as carcinogenic and non-carcinogenic human health hazards37. The chronic daily intake (CDI), hazard quotient (HQ) and total hazard index (THI) were computed to assess the non-cancer risks while the incremental lifetime cancer risk (ILCR) and total cancer risk (TCR) were used to assess the cancer risks).

Chronic daily intake: The chronic daily intake (CDI) of trace metals due to the ingestion of water from Iko River by the adults and children populations was computed by the means of Eq. 2:

(2)

In Eq. 2, C indicates the concentration of trace metals in water from the studied river, DI signifies the average daily intake rate which is 1 L/day for a child and 2 L/day for an adult, BW is the body weight which is 10 kg for a child and 70 kg for an adult14.

Hazard quotients: The hazard index (HQ) of trace metals for the exposure of both the adults and children populations via the ingestion of water from the river was calculated using Eq. 3:

(3)

where, CDI is the chronic daily intake rate calculated and RfD signifies the oral reference dose which are given as Zn (0.3), Fe (0.70), Ni (0.02), Cu (0.04), Pb (0.004), Cd (0.001), Cr (1.5) and Mn (0.14) mg/kg/day by Emmanuel et al.38.

Total hazard index: The total hazard index (THI) was computed with Eq. 4:

THI = ΣHQ = HQZn+HQFe+HQNi+HQCu+HQPb+HQCd+HQCr+HQMn
(4)

In Eq. 4, ΣHQ is the sum of all the hazard quotients (HQ) of the metals determined.

Incremental lifetime cancer risk: Incremental lifetime cancer risk (ILCR) for the carcinogens for both the adult and children populations was calculated using Eq. 5:

ILCR = CSF×CDI
(5)

In Eq. 5, CSF denotes the cancer slope factor for the carcinogens and are 1.70E+00, 8.50E-03, 5.00E-01 and 5.01E-01 (mg/kg/day)-1 for Ni, Pb, Cd and Cr, respectively39. However, there were no cancer slope factors for the calculation of ILCR for Zn, Fe, Cu and Mn. The CDI is the calculated chronic daily intake in mg/kg BW/day.

Total cancer risk: Total cancer risk (TCR) for the exposure of both the adults and children populations to the carcinogens via water from the studied river was estimated using Eq. 6:

TCR = ΣILCR = ILCRNi+ILCRPb+ILCRCd+ILCRCr
(6)

where, indicates the summation of individual carcinogen incremental risk. The total cancer risk is classified as follows: 1.0E-01-1.0E-03 is very high cancer risk class, 1.0E-04 is high cancer risk class, 1.0E-05 is medium cancer risk class, 1.0E-06 is low cancer risk class and TCR less than 1.0E-06 is in the negligible cancer risk class40.

Statistical analysis: The analysis of numerical data obtained from the analysis was carried out by means of IBM SPSS Statistics 20 (IBM USA). Principal component and Cluster analyses were executed by Duncan’s Multiple Range Tests at 0.01 confidence limits. Factor analysis was done by means of Varimax rotation method on twenty-three parameters and values from 0.505 and higher were deemed significant. The Cluster analysis was performed with Dendrograms to categorize groups with common sources and properties.

RESULTS AND DISCUSSION

Physicochemical properties of water: Results of the physicochemical properties of the studied Iko River were shown in Table 2. The pH of water decides most of the biochemical processes taking place in a particular water body and time. The pH of the river investigated varied from 6.41 to 6.55 with a mean of 6.48±0.05. This range is within the acceptable limit of 6.5-8.5 by Omer41. According to Inam et al.14 the pH values reported are favourable for optimal aquatic activities in the studied river. Consequently, the oil exploration activities in the water body may not have impacted significantly on the pH.

Table 2: Results of physicochemical properties of water from the studied river
Parameters
NU
KP
UT
IK
EM
JC
Min
Max
Mean
SD
pH
6.55
6.49
6.5
6.49
6.45
6.41
6.41
6.55
6.48
0.05
TSS
0.34
0.42
0.38
0.38
0.38
0.29
0.29
0.42
0.37
0.05
TDS
3866
3621.91
3754.81
3866
3534.98
3022.8
3022.8
3866
3500.33
326.13
DO
5.12
5.1
4.97
5.03
5.13
4.81
4.81
5.13
5.03
0.12
EC
6036.44
5867.17
5468.11
5822.69
5700.29
5008.88
5008.88
6036.44
5650.6
366.87
Salinity
5.45
5.95
6.24
6.33
5.85
5.44
5.44
6.33
5.88
0.38
Turbidity
20.04
26.3
32.29
34.52
24.33
18.32
18.32
34.52
25.97
6.47
TH
168.07
209.08
226.65
221.05
201.3
140.94
140.94
226.65
194.52
33.36
BOD
2.98
3.21
3.76
4.13
3.28
2.79
2.79
4.13
3.36
0.5
COD
10.55
12.79
16.15
16.84
12.4
10.05
10.05
16.84
13.13
2.82
Chloride
473.75
545.87
569.39
600.35
532.55
472.77
472.77
600.35
532.45
51.31
Sulphate
0.21
0.12
0.15
0.15
0.13
0.11
0.11
0.21
0.15
0.04
Nitrite
174.07
183.64
197.58
203.01
180.46
164.8
164.8
203.01
183.93
14.32
Nitrate
0.14
0.12
0.12
0.13
0.12
0.11
0.11
0.14
0.12
0.01
Phosphate
17.13
21.12
24.79
25.66
19.81
15.83
15.83
25.66
20.72
3.97
NU: Nda Uko, KP: Kampe, UT: Utapete flow station, IK: Iko, EM: Emereoke, JC: Jaja Creek, TSS: Total suspended solids, TDS: Total dissolved solids, DO: Dissolved oxygen, EC: Electrical conductivity, TH: Total hardness, BOD: Biochemical oxygen demand and COD: Chemical oxygen demand

Total suspended solids (TSS) in the studied river ranged between 0.29 and 0.42 mg L1 with a value of 0.37±0.05 mg L1. This is within the recommended limit of 0.75 mg L1 by Omer41, for potable water. Consequently, the levels of TSS obtained may not interfere negatively with the normal aquatic life within the river. The human activities within and around the studied aquatic environment may not affect TSS contents considerably.

A range and mean concentrations of 3022.80-3866.0 and 3500.33±326.13 mg L1, respectively were recorded for Total Dissolved Solids (TDS) in the river examined. Levels of TDS obtained exceeded the stipulated limit (500.0 mg L1) by Omer41. Hence, the oil exploration activities in the area may have introduced very high levels of inorganic and organic matter into the water channel. Accordingly, this high level of TDS may have a negative impact on the water quality and normal aquatic activities42,43. Exposure of humans to this water source either directly or indirectly may also result in cardiovascular disease, cancer, arteriosclerotic heart disease and coronary heart disease44.

Dissolved oxygen (DO) of the river assessed ranged between 4.81 and 5.13 mg L1 (Table 2). The DO is an important property that sustains aquatic life and is used to evaluate the extent of freshness in a water channel45,46. The mean DO obtained (5.03±0.12 mg L1) is above the recommended limit of 4.0 mg L1 by Omer41. Thus, the activities of oil companies within the study area might have elevated the dissolved oxygen of the river. This may affect the chemistry and microbiological activities of the aquatic ecosystem examined47.

The electrical conductivity (EC) levels of the studied river ranged from 5008.88 to 6036.44 μS cm1 (Table 2). The mean EC level (5650.60±366.87 μS cm1) reported in this study is much higher than the 1000.0 μS cm1 recommended for an unpolluted water body by Omer41. Consequently, the anthropogenic activities within the study area have been impacted negatively on the EC level of the water body severely. The high EC levels of the water channel examined could be attributed to the elevated dissolved solids reported and is an indication of the high pollution status of the aquatic ecosystem48,49.

The salinity of the aquatic ecosystem investigated ranged between 5.44 and 6.33 mg L1 with a mean value of 5.88±0.38 mg L1. The obtained range is below the acceptable range of 10-25 mg L1 for unpolluted water by Omer41. Thus, the human activities within the study area may have impacted the electrical charges of cations and anions in the water channel50.The low salinity recorded may accelerate the water-wetting capacity of the river bed51.

Table 3: Results of total trace metals in water from the studied river
Parameters
NU
KP
UT
IK
EM
JC
Min
Max
Mean
SD
Zn
0.13
0.15
0.19
0.22
0.15
0.14
0.13
0.22
0.16
0.03
Fe
1.23
1.3
1.37
1.39
1.29
1.2
1.2
1.39
1.3
0.08
Ni
0.08
0.09
0.18
0.12
0.1
0.08
0.08
0.18
0.11
0.04
Cu
0.15
0.14
0.19
0.19
0.15
0.14
0.14
0.19
0.16
0.02
Pb
0.13
0.16
0.23
0.28
0.12
0.12
0.12
0.28
0.17
0.07
Cd
0.24
0.13
0.02
0.02
0.01
0.17
0.01
0.24
0.1
0.1
Cr
0.06
0.07
0.08
0.84
0.06
0.05
0.05
0.84
0.19
0.32
Mn
0.26
0.27
0.36
0.4
0.4
0.22
0.22
0.4
0.32
0.08
NU: NdaUko, KP: Kampe, UT: Utapete Flow Station, IK: Iko, EM: Emereoke and JC: Jaja Creek

Turbidity of the studied river channel varied from 18.32 to 34.52 mg L1. The average value of turbidity obtained (25.97±6.47 mg L1) is higher than the recommended limit of 5.00 NTU by Omer41. This shows that human activities within the study area may have resulted in the reported high levels of turbidity. Changes in the turbidity of a water body may impact the temperature, chemistry and microbial activities within the water channel52. Thus, the high level could be an indication of elevated levels of pathogens in the aquatic environment53.

Total hardness (TH) of the studied river ranged between 140.94 and 226.65 mg L1 (Table 2). The average value of TH obtained (194.52±33.36 mg L1) is beyond the permissible limit of 150.0 mg L1 by Omer41. According to Sengupta54, the water channel has elevated levels of calcium and magnesium and belongs to the very hard class of water hardness. Exposure to water from the studied aquatic environment may result in several health problems in the consumers as reported by Akram and Fazal-ur-Rehman55. The high level of hardness reported in this study could be attributed to the anthropogenic activities of oil and associated companies within the study area.

The biochemical oxygen demand (BOD) in the water body investigated ranged from 2.79 to 4.13 mg L1 (Table 3). The range of BOD reported in this study classifies the water body as moderately clean water according to Musa et al.56. The average value of BOD recorded (3.36±0.50 mg L1) is lower than the 6.0 mg L1 recommended by Omer41 for an unpolluted water body. This indicates the low level of organic matter in the water channel examined46. Accordingly, the activities of oil and oil-related companies in the study area may not have introduced a high volume of organic waste into the ecosystem.

The chemical oxygen demand (COD) of the studied river channel varied from 10.05 to 16.84 mg L1. According to Rao and Mogili57 the range of COD obtained in this study classify the aquatic system as being moderately polluted. The COD indicates the extent to which a water body has been contaminated by biodegradable matter58. The mean value of COD obtained (13.13±2.82 mg L1) is below the recommended 30.0 mg L1 limit by Omer41 for unpolluted water. Despite the low levels of COD reported, the water body has been contaminated by the anthropogenic activities in the area. This may have resulted in the low COD values reported.

Chloride content of the studied river channel ranged between 472.77 and 600.35 mg L1 (Table 2). Chloride in surface water comes from both natural and anthropogenic sources however, the natural contribution is low59. The average value of chloride in the studied river (532.45±51.31 mg L1) is above the recommended limit (350.0 mg L1) by Omer41. Thus, oil exploration and exploitation activities in the area may have resulted in the high chloride content of the water channel evaluated60. Consequently, the reported high chloride content may affect both the aquatic life and human beings exposed to untreated water from the studied river61.

The level of sulphate at the different locations along the studied river varied from 0.11 to 0.21 mg L1. The mean value obtained (0.15±0.04 mg L1) is far below the 500.0 mg L1 standard for unpolluted water by Omer41. This shows that both natural and anthropogenic sources of sulphate contributed very low levels to the water body investigated. The low sulphate content of the studied river might result in low plant growth, especially algae in the ecosystem62.

Nitrite in the studied river varied from 164.80 to 203.01 mg L1 with an average concentration of 183.93±14.32 mg L1. Studies have shown that the main routes of soluble nitrite in surface water are nitrogen-containing fertilizers and wastes from animal farms and industries63,64. The mean level of nitrite reported is higher than the 3.00 recommended by Golaki et al.65. Consequently, prolonged exposure to untreated water from this source may result in health problems such as colorectal cancer and methemoglobinemia66,67. The obtained result has also revealed that human activities in the study area might have resulted in the elevated nitrite content of the water body examined.

Nitrate in the studied river ranged between 0.11 and 0.14 mg L1 with a mean value of 0.12±0.01 mg L1. The levels of nitrate reported in this study are less than the recommended limit of 50.0 mg L1 by Omer41 in an unpolluted water bodies. Hence, the level of nitrate reported may not pose any environmental health problems. The low levels of nitrate obtained could be attributed to the impact of denitrifying bacteria on nitrate68. The luxuriant Nypa palm growth in the study area could also reduce the nitrate content of the river channels69,70.

Levels of phosphate in the river assessed ranged from 15.83 to 25.66 mg L1. The mean value obtained (20.72±3.97 mg L1) is above the acceptable limit of 3.5 mg L1 in a potable water channel by Omer41. Thus, human activities within the area studied may have introduced substantial amounts of phosphate into the aquatic ecosystem. The high level of phosphate reported may result in eutrophication in the aquatic system and can cause acidosis in those exposed to the untreated water for a long time71,72.

Trace metals in the studied aquatic ecosystem: Results of the distribution of total trace metals in the studied river were shown in Table 3. The results showed that Zn varied between 0.13 and 0.22 mg L1 with a mean concentration of 0.16±0.03 mg L1. The mean concentration of the metals is below the recommended limit of 3.0 mg L1 by Omer41. Hence, Zn may not have any harmful effect on the aquatic ecosystem and human beings exposed to the raw water from the studied river. Rather the level of Zn obtained in this work could be essential for both the human and aquatic lives73. This is also an indication that human activities within the studied system may not have contributed a significant quantity of Zn to the environment.

Iron (Fe) concentrations at the different locations along the studied river ranged from 1.20 to 1.39 mg L1. The average concentration of 1.30±0.08 mg L1 of Fe obtained is higher than 0.5 mg L1 recommended for an unpolluted water body by Omer41. This can alter the physical status (colour, taste and odour) of the water body74. Overexposure to Fe via untreated water can cause diabetes mellitus, Parkinson’s disease, cardiovascular disease, hemochromatosis, pigmentation changes, huntington disease, Alzheimer’s disease and respiratory, kidney, liver and neurological disorders75,76. The level of Fe obtained in this study may also affect the aquatic life in the studied ecosystem77. The result obtained is an indication of the negative impact of anthropogenic activities on the quality of the water channel.

Table 3 shows the range and mean concentrations of nickel (Ni) in the studied river as 0.08-0.18 mg L1 and 0.11±0.04 mg L1, respectively. Concentrations of Ni at all the studied locations were higher than the recommended 0.01 mg L1 by Omer41. Improper disposal of industrial wastes and aerial depositions are the major sources of Ni in the aquatic environment. However, runoffs and rock weathering are other important sources of a water channel78-80. The high levels of Ni reported can cause health problems such as cancer, allergy and improper functioning of the lungs81. It has also been reported that a high level of Ni has detrimental effects on aquatic organisms82. The reported high level of Ni might have contributed to the studied ecosystem through the anthropogenic activities in the area.

Copper (Cu) is one of the essential elements for human and aquatic life but toxic at high concentrations83,84. It is widely spread in the environment since the metal emanates from both natural and anthropogenic sources. Table 4 indicates that, Cu varied from 0.14 to 0.19 mg L1 in the studied aquatic ecosystem. The mean value obtained (0.16±0.02 mg L1) is below the recommended limit of 1.0 mg L1 by Omer41 for an unpolluted water body. The low levels of Cu at all the studied locations could be attributed to the ability to form complexes with dissolved organic matter in water85.

Lead (Pb) concentrations varied from 0.12 to 0.28 mg L1 with a mean value of 0.17±0.07 mg L1 in the studied river. Concentrations of Pb at all the locations were higher than 0.01 mg L1 recommended for an unpolluted water system by Omer41. Lead is found in air, soil and water due to its widespread applications86. It is a well-known element due to its toxicity even at minimal concentration87,88. The Pb emanates from both natural and anthropogenic sources; the major anthropogenic sources include urban, agricultural and industrial wastes. It is also a component of mining and crude exploration processes59,89. The outcome of this study indicates that oil-related and other human activities in the study area might have accelerated the Pb content of aquatic ecosystems. Long-term exposure to the high level of Pb reported in the studied river can cause several health problems including death in both the children and adult populations90-92. It can also impact negatively on the aquatic life of the studied ecosystem93.

Cadmium (Cd) in the studied aquatic environment ranged between 0.01 and 0.24 mg L1. An average concentration of 0.10±0.09 mg L1 was obtained for Cd and is above the permissible limit of 0.01 mg L1 in unpolluted water by Omer41. The main sources of Cdin aquatic environment are aerial deposition, combustion of fossil fuels, industrial wastes and Cd-related fertilizers in runoffs from adjoining farms94,95. The level of Cd obtained in this study could be detrimental to human and aquatic organisms exposed to the studied river for a long time96,97. Consequently, anthropogenic activities including crude oil exploration carried out within the study area may have contributed a significant level of Cd to the environment.

The range and mean concentration of chromium (Cr) in the studied aquatic environment as shown in Table 4 are 0.05-0.84 and 0.19±0.32 mg L1, respectively. According to Tumolo et al.98, the main sources of Cr in aquatic environments are natural and anthropogenic. Nevertheless, the level of Cr obtained in the studied aquatic ecosystem is below the recommended level of 0.5 mg L1 by Omer41. Accordingly, this level of Cr may not have an adverse effect on human and aquatic organisms rather it will be beneficial to both99. Thus, the level of Cr associated with oil exploration and other anthropogenic activities within the study area may not have an immediate negative impact on the environment.

Manganese (Mn) is an essential element that is required by both aquatic organisms and humans for functioning100,101. In this study, Mn varied from 0.22 to 0.40 mg L1 with an average concentration of 0.32±0.08 mg L1. The mean concentration reported is higher than 0.2 mg L1 recommended for unpolluted water by Omer41. The level of Mn obtained in the studied river can cause the malfunctioning of intellectual and neurobehavioural function in young generations over time102,103. The level reported can also have negative effects on the studied aquatic ecosystem104. The Mn in surface water emanate from both natural and anthropogenic sources101,105. Consequently, these sources might have supplied significant amounts of the metal to the studied aquatic environment.

Table 4: Pollution index of parameters determined in the studied river
Parameter
Mean
Pollution index value
Rating
pH
6.48
0.76
Slightly polluted
TSS (mg L1)
0.37
0.49
Slightly polluted
TDS (mg L1)
3500.33
7
Severely polluted
DO (mg L1)
5.03
1.26
Moderately polluted
EC (Μs/cm)
5650.6
5.65
Severely polluted
Salinity (mg L1)
5.88
0.24
Sub clean
Turbidity (NTU)
25.97
5.19
Severely polluted
TH (mg L1)
194.52
1.3
Moderately polluted
BOD (mg L1)
3.36
0.56
Slightly polluted
COD (mg L1)
13.13
0.44
Slightly polluted
Chloride (mg L1)
532.45
1.52
Moderately polluted
Sulphate (mg L1)
0.15
0.0003
Clean
Nitrite (mg L1)
183.93
61.31
Severely polluted
Nitrate (mg L1)
0.12
0.0024
Clean
Phosphate(mg L1)
20.72
5.92
Severely polluted
Zn (mg L1)
0.16
0.05
Clean
Fe (mg L1)
1.3
2.6
Severely polluted
Ni (mg L1)
0.11
11
Severely polluted
Cu (mg L1)
0.16
0.16
Clean
Pb (mg L1)
0.17
17
Severely polluted
Cd (mg L1)
0.1
10
Severely polluted
Cr (mg L1)
0.19
0.38
Sub clean
Mn (mg L1)
0.32
1.6
Moderately polluted
TSS: Total suspended solids, TDS: Total dissolved solids, DO: Dissolved oxygen, EC: Electrical conductivity, TH: Total hardness, BOD: Biochemical oxygen demand and COD: Chemical oxygen demand

Trend in the distributions of the physicochemical properties and total trace metals of studied aquatic ecosystem: The general results for the physicochemical properties and total trace metals in the studied aquatic ecosystem indicated high standard deviations for TDS, EC, turbidity, TH, chloride, nitrite, Cd and Cr (Table 2 and 3). This revealed that these parameters had some values higher than the mean obtained. It may be due to the high spatio-temporal variations among the studied locations along the river106,107. The study revealed higher levels of physicochemical properties and total trace metals in the upstream and midstream regions than in the downstream as reported by Čiuldienė et al.108 and Xie et al.109. This could be attributed to the dilution of the concentration of contaminants as the water flows downward110,111. This indicated that the contaminants in the studied water channel were diluted by the flow of the river112,113.

Quality index of the studied Iko River: The assessment of the water quality based on the pollution index of the physicochemical properties as reported by Liu et al.35 and Olawusi-Peters36 in Table 4 indicates the following:

  Studied aquatic ecosystem could be classified as being clean with regard to its sulphate, nitrate, Zn and Cu contents
  Water body could be regarded as being in the category of sub-clean considering the level of its salinity and Cr
  Water system is in the slightly polluted category based on its pH, TSS, BOD and COD content
  It could be classified as being moderately polluted considering the concentrations of DO, total hardness, chloride and Mn
  Studied aquatic water channel may also be rated in the severely polluted class due to the levels of TDS, EC, turbidity, nitrite, phosphate, Fe, Ni, Pb and Cd

Table 5: Principal component analysis (PCA) signifying relative loading for the physicochemical properties examined
Variable
PC1
PC2
PC3
PC4
pH
-0.696
-0.314
-0.51
0.375
TSS
0.637
-0.293
0.631
0.139
TDS
0.948
-0.273
-0.009
-0.109
DO
-0.737
-0.382
0.505
0.213
EC
0.782
-0.589
-0.149
0.007
Salinity
0.991
-0.105
0.02
0.037
Turbidity
0.985
0.065
-0.038
0.103
TH
0.913
-0.165
0.316
0.192
BOD
0.981
0.189
-0.018
-0.023
COD
0.991
0.053
-0.075
0.095
Chloride
0.985
-0.082
0.074
-0.072
Sulphate
-0.426
0.868
-0.033
0.251
Nitrite
0.982
0.125
0.066
0.122
Nitrate
0.088
0.809
0.53
0.234
Phosphate
0.99
0.01
0.019
0.115
Zn
0.944
0.185
-0.25
-0.11
Fe
0.994
0.007
0.065
0.087
Ni
0.753
-0.167
-0.275
0.511
Cu
0.864
0.299
-0.251
0.218
Pb
0.909
0.304
-0.228
0.058
Cd
-0.832
0.379
0.001
0.206
Cr
0.681
0.533
-0.105
-0.471
Mn
0.814
-0.041
0.271
-0.186
Total variance (%)
72.3
12.8
7.3
4.6
Cumulative (%)
72.3
85
92.3
96.9
Eigen value
16.6
2.9
1.7
1.1
TSS: Total suspended solids, TDS: Total dissolved solids, DO: Dissolved oxygen, EC: Electrical conductivity, TH: Total hardness, BOD: Biochemical oxygen demand and COD: Chemical oxygen demand

Multivariate analysis of parameters determined in the studied river
Principal component analysis of the parameters: The physicochemical properties obtained were subjected to Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) to establish the source and relationship among them114,115. Table 5 shows the result of PCA of the parameters and revealed four major factors with Eigen value above one with a total of 96.9% total variance. Factor one contributed 72.3% of the total variance with a strong influence by TSS, TDS, EC, salinity, turbidity, TH, BOD, COD, chloride, nitrite, phosphate, Zn, Fe, Ni, Cu, Pb, Cr and Mn (Table 5). This factor shows the detrimental effects of natural and anthropogenic factors on the quality of the studied river116,117. The second factor added 12.8% to the total variance with a strong impact by sulphate, nitrate, Cr and Cd (Table 5). This represents the negative impacts of industrial activities and natural factors on the quality of the studied ecosystem62,118. The third factor added 7.3% to the total variance with a strong impact by TSS, DO and nitrate (Table 5). This signifies the negative influence of anthropogenic activities on the quality of the studied aquatic ecosystem119,120. The fourth factor contributed 4.6% to the overall variance with a significant impact by Ni. This indicates the negative effect of agricultural and industrial wastes on the quality of the studied aquatic environment107,121,122.

Cluster analysis of the parameters: The existing association among the physicochemical properties and trace metals of the studied river was shown in Fig. 1. The Figure displays two main clusters namely: (i) Cluster that connects all the parameters together except TDS and EC and (ii) Second cluster links TDS and EC as one. The two clusters obtained may indicate the common sources for the different parameters determined in the studied ecosystem123,124. Clusters formed may also show similar properties among the parameters with a common group125.

Fig. 1: Hierarchical clusters of the parameter determined in the studied river

Table 6: Results of chronic daily intake (CDI) rate and non-carcinogenic risks of trace metal in the studied river
 
CDI Adults
CDI Children
HQ Adults
HQ children
Zn
0.004
0.016
0.013
0.053
Fe
0.036
0.13
0.052
0.186
Ni
0.003
0.011
0.15
0.55
Cu
0.004
0.016
0.1
0.4
Pb
0.005
0.017
1.25
4.25
Cd
0.003
0.01
3
10
Cr
0.005
0.019
0.003
0.013
Mn
0.009
0.032
0.064
0.229
HI  
4.632
15.681
 
CDI: Chronic daily intake, HQ: Hazard quotient and HI: Hazard index

Health risks assessment of non-cancer and cancer associated with exposure to the studied river
Chronic daily intake rate of trace metals via exposure to the studied river by the adult and children populations: Human health problems related to the exposure to trace metals in the studied aquatic ecosystem were examined using their daily intake rate1. Results for the chronic daily intake (CDI), hazard quotient (HQ) and total hazard index (THI) were indicated in Table 6. The average CDI values of Zn, Fe, Ni, Cu, Cr and Mnfor both the adult and children populations were below their acceptable oral reference doses (Rfd). However, the mean CDI values of Pb and Cd for both populations were higher than their recommended Rfds by Anyanwu and Nwachukwu126. Hence, Pb and Cd can pose serious health risks to those exposed to the aquatic ecosystem either directly or indirectly127,128. The implication is that oil exploration activities in the area may have polluted the studied aquatic ecosystem with these metals129.

Non-cancer risks of the trace metals via exposure to the studied river by the adults and children populations: The average hazard quotients of Zn, Fe, Ni, Cu, Cr and Mn for both the adult and children populations were less than 1 (Table 7). Consequently, lifetime exposure to these metals via the consumption of water from the studied aquatic ecosystem may not cause serious non-cancer problems130. Nevertheless, the mean hazard quotient values of Pb and Cd for both populations were higher than 1 thus, these metals may likely pose serious non-cancer risks over lifetime exposure131,132.

Fig. 2: Mean hazard quotient of trace metals for (a) Adults and (b) Children

Total hazard index (THI) of the trace metals through the oral ingestion of water from the studied aquatic system for the adults and children populations as indicated in Table 6 are 4.632 and 15.681, respectively. These values are greater than 1 and as such the consumers of untreated water from the studied source may be exposed to severe non-cancer problems133. Consequently, prolonged exposure to untreated water from the studied aquatic ecosystem may result in higher cancer risks in young ones than the adult as previously reported by Sulaiman et al.134. The average hazard index of Cd and Pb in adult contributed 92% of the entire THI value obtained (Fig. 2a). Figure 2b demonstrates that Cd and Pb added 91% to the total THI obtained. Hence, Zn, Fe, Ni, Cu, Cr and Mn donated a total of 8.0 and 9.0% to the total THI in adults and children, respectively. This shows clearly that Cd and Pb may cause serious harm to the consumers if exposed to the water source for a long time. This corroborated the findings from PCA that, these two metals may have emanated mainly from the anthropogenic activities (mainly oil exploration) in the study area.

Cancer risks of the carcinogens associated the exposure to the studied river by the adults and children populations: According to Cao et al.135 toxic metals are capable of causing cancer-related risks in human beings. Hence, when human beings are exposed to metals for a long time there may be a tendency of developing cancer and cancer-related problems. This study considered Ni, Pb, Cd and Cr as potential cancer-causing agents and the level of exposure by those exposed to untreated water from the study area was evaluating using the average chronic exposure index obtained. Results obtained for the carcinogenic risks related to the exposure of the consumers to the studied water source were shown in Table 7. When the incremental lifetime cancer risk (ILCR) of a metal is less than 1×106 it is regarded as being inconsequential and can be ignored. However, if the ILCR is higher than 1×104 it could be considered as a cancer-agent and the source (studied river) should remediated136,137. The mean ILCR values for exposure of adults via the studied river for Ni, Pb, Cd and Cr in Table 7 are 5.00E-03, 4.25E-05, 1.50E-03 and 2.51E-03, respectively (Table 7). Consequently, the cancer risk of Ni, Cd and Cr for adults via the studied river were in the very high cancer risk class while, Pb was in the medium cancer risk class40,138. The mean cancer risk associated with these metals for children through exposure to the studied river varied as follows: 1.90E-02, 1.45E-04, 5.00E-03 and 9.52E-03 for Ni, Pb, Cd and Cr, respectively. Thus, the cancer risk of Ni, Cd and Cr for the children were in the very high cancer risk class whereas, Pb was in the high cancer risk category40. The cancer-causing potential of Ni was the highest for the adults and children populations however, that of the children class was relatively higher. Thus, children exposed to this water source are more vulnerable to cancer and cancer-related risks that the adults class.

Table 7: ILCR and total cancer risk value (TCR) of trace metals via exposure to the studied river
 
ILCR (Adults)
Added to TCR (%)
ILCR (Children)
Added to TCR (%)
*Cancer slope factor
Zn
-
-
-
-
NA
Fe
-
-
-
-
NA
Ni
5.00E-03
55
1.90E-02
57
1.70E+00
Cu
-
-
-
-
NA
Pb
4.25E-05
0
1.45E-04
0
8.50E-03
Cd
1.50E-03
17
5.00E-03
15
5.00E-01
Cr
2.51E-03
28
9.52E-03
28
5.01E-01
Mn
-
-
-
-
NA
TCR
9.05E-03
 
3.37E-02
-
-
*Source: Mohammadi et al.39

Total cancer risks of the adults and children populations via exposure to the studied river: The mean total cancer risks (TCR) of trace metals in the studied aquatic ecosystem for the adults and children populations as shown in Table 7 were 9.05E-03 and 3.37E-02, respectively. The average TCR values reported for both populations are higher than the permissible limit of 1.00E-04 by Jalil et al.139. Consequently, the propensity of cancer risks among those exposed to untreated water from the studied aquatic ecosystem is high. The results obtained revealed that Ni was the highest contributor to the obtained TCR for the adults (55%) and children (57%) (Table 7). The potential of the carcinogens considered in this study follows the trend Ni>Cr>Cd>Pb for both the adults and children categories. It was also deduced from the study that nine in every one thousand adults is vulnerable to cancer while three in every one hundred is susceptible to cancer risk. Hence, the children are more vulnerable to cancer risks than the adult’s category in the study area140.

The outcome of this study has exposed the status of Iko River and the negative impact of anthropogenic factor especially oil activities on the studied river channel. The human health problems associated with long term exposure to the studied river have also been highlighted. The outcome of the study will help the government in making future policies concerning the operations of oil companies within the study area and beyond. It will also help the consumers to know the associated health risks with exposure to the river either directly or indirectly for a long time. Consequently, human exposure to untreated water from the river should be controlled and water from the river should be treated before consumption. Dumping of organic or non-biodegradable wastes in the water channel should be discouraged. Excessive application of inorganic fertilizers adjoining farmlands should be discouraged. Oil companies within the study area should operate based on the national and international laws guiding their operations. Government should provide sources of potable water for the people of the area. The assessment of the water body should be done periodically to forestall a devastating situation. Some adjoining creeks and parameters including organic contaminants not determined in this study should be examined in subsequent works. The sediments and aquatic organisms from the studied river should be examined in future study. However, the challenges faced during the study namely: Finance and insecurity along waterways in the study area should be considered when planning for future study.

CONCLUSION

The research revealed that anthropogenic activities by oil companies and other human activities have impacted negatively on the quality of the studied Iko River. Levels of most of the parameters determined were beyond their acceptable limits indicating the poor pollution status of the river. Water quality index of the parameters water from the studied river corroborated that the river was in a very bad shape. The chronic daily index of some of the trace was higher than their recommended oral doses indicating the probability of non-cancer risks inthe adult and children populations. The total hazard index for the adults and children populations were higher than one thereby confirming the high non-cancer risk associated with the exposure to the water for the river. The children were more vulnerable to both cancer and non-cancer risks associated with exposure to the trace metals via the ingestion of water from the studied river. The cancer risk of the carcinogens for both the adult and children populations was at a very risk and the children population was more susceptible to the risk. Consequently, oil companies should operate by the recommended regulations to forestall the contamination and subsequent pollution of the host environment. Dumping of domestic, agricultural or industrial wastes in the water channel should be discouraged. Remediation work should be carried out in the river to reduce the contaminants/pollutants load in the water channel. Human beings irrespective of age should refrain from exposing themselves either directly or indirectly to untreated water from the river. Water from the river should be properly treated before consumption or utilization for domestic purposes. Authorities concern should provide alternative sources of potable water for the people of the Eastern Obolo local government area to avoid the cancer and non-cancer risks on the populace.

SIGNIFICANCE STATEMENT

This research revealed the pollution status of Iko River. Results showed that TDS, DO, EC, turbidity, TH, Cl, SO42–, NO2, PO43–, Fe, Ni, Pb, Cd and Mn were higher than their limits by NESREA. Anthropogenic factors especially oil activities was the major source of contaminants in river channels. Chronic daily intake of Cd and Pb were higher than their recommended limits for the children and adult populations. The Cd and Pb exhibited very high non-carcinogenic risks in both populations. The results also revealed that Cd, Cr, Ni and Pb demonstrated very high cancer risks on the consumers with the children class being more vulnerable. Water from the river should be treated before consumption. Alternative sources of potable water should be provided.

REFERENCES

  1. Ebong, G.A., H.S. Etuk, A.O. Okon, I.B. Anweting, A.E. Ekot and J.P. Essien, 2023. Air quality index of some commercial centres in Uyo Metropolitan Area, Akwa Ibom State, Nigeria. Br. J. Earth Sci. Res., 11: 28-46.
  2. Dinka, M.O., 2018. Safe Drinking Water: Concepts, Benefits, Principles and Standards. In: Water Challenges of an Urbanizing World, Glavan, M. (Ed.), IntechOpen, London, United Kingdom, ISBN: 978-953-51-3894-5, pp: 163-182.
  3. Faremi, A.Y. and O.B. Oloyede, 2010. Biochemical and assessment of the effects of soap and detergents industrial effluents on enzmes in the stomach of albino rats. Res. J. Environ. Toxicol., 4: 127-133.
  4. Israel, A.U., I.B. Obot, S.A. Umoren, V. Mkpenie and G.A. Ebong, 2008. Effluents and solid waste analysis in a petrochemical company-A case study of Eleme Petrochemical Company Ltd, Port Harcourt, Nigeria. J. Chem., 5: 74-80.
  5. Chukwu, K.E., 2017. Pollution of surface water resources in Nigeria. Int. J. Acad. Res. Enviorn. Geogr., 4: 105-120.
  6. Ite, A.E., T.A. Harry, C.O. Obadimu, E.R. Asuaiko and I.J. Inim, 2018. Petroleum hydrocarbons contamination of surface water and groundwater in the Niger Delta Region of Nigeria. J. Environ. Pollut. Hum. Health, 6: 51-61.
  7. Atser, J. and P.U. Udoh, 2015. Dimensions in rural water coverage and access in Akwa Ibom State, Nigeria. Afr. J. Environ. Sci. Technol., 9: 29-37.
  8. Obiefuna, G.I. and D.M. Orazulike, 2010. Physicochemical characteristics of groundwater quality from Yola Area, Northeastern Nigeria. J. Appl. Sci. Environ. Manage., 14: 5-11.
  9. Kravitz, J.D., M. Nyaphisi, R. Mandel and E. Petersen, 1999. Quantitative bacterial examination of domestic water supplies in the Lesotho Highlands: Water quality, sanitation, and village health. Bull. World Health Organ., 77: 829-836.
  10. Shyamala, R., M. Shanti and P. Lalitha, 2008. Physicochemical analysis of borewell water samples of Telungupalayam Area in Coimbatore District Tamilnadu, India. J. Chem., 5: 924-929.
  11. DiGiulio, D.C. and R.B. Jackson, 2016. Impact to underground sources of drinking water and domestic wells from production well stimulation and completion practices in the Pavillion, Wyoming, Field. Environ. Sci. Technol., 50: 4524-4536.
  12. Rail, C.D., 2000. Groundwater Contamination, Volume I: Sources and Hydrology. 1st Edn., CRC Press, Boca Raton, Florida, ISBN: 9780429181658, Pages: 187.
  13. Lin, L., H. Yang and X. Xu, 2022. Effects of water pollution on human health and disease heterogeneity: A review. Front. Environ. Sci., 10.
  14. Inam, E., G.G. Inoh, N.A.O. Offiong and B.B. Etim, 2017. Physicochemical characteristics and health risk assessment of drinking water sources in Okoroette community, Eastern Coast of Nigeria. Am. J. Water Resour., 5: 13-23.
  15. Unimke, A.A., A.A. Ibiene and P.O. Okerentugba, 2020. Iko River Estuary: Anthropogenic impacts and the microbial community alterations. GSC Biol. Pharm. Sci., 13: 189-196.
  16. Unimke, A.A., A.A. Ibiene and P.O. Okerentugba, 2021. Iko River Estuary: Oil exploration and the microbial community shift. World J. Adv. Res. Rev., 10: 25-32.
  17. Udofia, G.E., I.G. Uba, A.O Inyang-Enin, C.O. Ubiebi, E.S. Ntino and C.A. Etok, 2022. Microbial abundance, diversity and physicochemistry of sediments of Iko River Estuary, Akwa Ibom State. World J. Appl Sci. Technol., 14: 18-29.
  18. Benson, N.U. and U.M. Etesin, 2008. Metal contamination of surface water, sediment and Tympanotonus fuscatus var. radula of Iko River and environmental impact due to Utapete gas flare station, Nigeria. Environmentalist, 28: 195-202.
  19. Etesin, U., E. Udoinyang and T. Harry, 2013. Seasonal variation of physicochemical parameters of water and sediments from Iko Rver, Nigeria. J. Environ. Earth Sci., 3: 96-110.
  20. Ubong, U.U., I.O. Ekwere and E.E. Ikpe, 2020. Risk and toxicity assessments of heavy metals in Tympanotonus fuscatus and sediments from Iko River, Akwa Ibom State, Nigeria. Int. J. Environ. Clim. Change, 10: 38-47.
  21. Dickson, I.F., I.I.N. Etim, M.P. Ekanim, A.E. Ite and I. Ewa-Oboho, 2022. Impacts of climate change on phytoplankton composition and variability in Iko River, coastal water of Eastern Obolo, Nigeria. J. Global Ecol. Environ., 16: 195-211.
  22. Behmel, S., M. Damour, R. Ludwig and M.J. Rodriguez, 2016. Water quality monitoring strategies-A review and future perspectives. Sci. Total Environ., 571: 1312-1329.
  23. Mama, A.C., W.K.A. Bodo, G.F.Y. Ghepdeu, G.N. Ajonina and J.R.N. Ndam, 2021. Understanding seasonal and spatial variation of water quality parameters in mangrove estuary of the Nyong River using multivariate analysis (Cameroon Southern Atlantic Coast). Open J. Mar. Sci., 11: 103-128.
  24. Bassey, C.E., A.E. Ite , E.R. Asuaiko and E.E. Aidoko, 2019. Textural and heavy minerals characterization of coastal sediments in Ibeno and Eastern Obolo Local Government areas of Akwa Ibom State-Nigeria. J. Geosci. Geomatics, 7: 191-200.
  25. Bridgewater, L., APHA, AWWA, WEF, 2012. Standard Methods for the Examination of Water and Wastewater. 22nd Edn., American Public Health Association, Washington D.C., USA, ISBN: 9780875530130, Pages: 724.
  26. APHA, Eaton, A.D., AWWA and WEF, 2005. Standard Methods for the Examination of Water and Wastewater. 21st Edn., American Public Health Association, Washington, D.C., USA, ISBN-13: 978-0875530475.
  27. Ma, J., S. Wu, N.V.R. Shekhar, S. Biswas and A.K. Sahu, 2020. Determination of physicochemical parameters and levels of heavy metals in food waste water with environmental effects. Bioinorg. Chem. Appl., 2020.
  28. Oladeji, S.O., 2020. Evaluation of physicochemical parameters in wastewater from Muhammad Ayuba Dam in Kazaure, Jigawa State, Nigeria. Arch. Agric. Environ. Sci., 5: 482-488.
  29. Ishak, I., F.D. Rosli, J. Mohamed and M.F.M. Ismail, 2015. Comparison of digestion methods for the determination of trace elements and heavy metals in human hair and nails. Malays. J. Med. Sci., 22: 11-20.
  30. Adjovu, G.E., H. Stephen, D. James and S. Ahmad, 2023. Measurement of total dissolved solids and total suspended solids in water systems: A review of the issues, conventional, and remote sensing techniques. Remote Sens., 15.
  31. Verma, N. and A.K. Singh, 2013. Development of biological oxygen demand biosensor for monitoring the fermentation industry effluents. ISRN Biotechnol. 2013.
  32. Wu, D., Y. Hu and Y. Liu, 2022. A review of detection techniques for chemical oxygen demand in wastewater. Am. J. Biochem. Biotechnol., 18: 23-32.
  33. Cai, L., Z. Ouyang, J. Song and L. Yang, 2020. Indicator-free argentometric titration for distance-based detection of chloride using microfluidic paper-based analytical devices. ACS Omega, 5: 18935-18940.
  34. Dkhar, E.N., P.S. Dkhar and J.M.H. Anal, 2014. Trace elements analysis in drinking water of meghalaya by using graphite furnace-atomic absorption spectroscopy and in relation to environmental and health issues. J. Chem., 2014.
  35. Liu, X., G. Li, Z. Liu, W. Guo and N. Gao, 2010. Water pollution characteristics and assessment of lower reaches in Haihe River Basin. Procedia Environ. Sci., 2: 199-206.
  36. Olawusi-Peters, O.O., 2021. Evaluation of water quality and heavy metal pollution in the shoots and roots of aquatic plants. Turk. J. Fish. Aquat. Sci., 21: 443-450.
  37. Salihu, N., M. Ya’u and A. Babandi, 2019. Heavy metals concentration and human health risk assessment in groundwater and table water sold in Tudun Murtala Area, Nassarawa Local Government Area, Kano State, Nigeria. J. Appl. Sci. Environ. Manage., 23: 1445-1448.
  38. Emmanuel, U.C., M.I. Chukwudi, S.S. Monday and A.I. Anthony, 2022. Human health risk assessment of heavy metals in drinking water sources in three senatorial districts of Anambra State, Nigeria. Toxicol. Rep., 9: 869-875.
  39. Mohammadi, A.A., A. Zarei, S. Majidi, A. Ghaderpoury and Y. Hashempour et al., 2019. Carcinogenic and non-carcinogenic health risk assessment of heavy metals in drinking water of Khorramabad, Iran. MethodsX, 6: 1642-1651.
  40. Salazar-Camacho, C., M. Salas-Moreno, S. Marrugo-Madrid, R. Paternina-Uribe, J. Marrugo-Negrete and S. Díez, 2022. A human health risk assessment of methylmercury, arsenic and metals in a tropical river basin impacted by gold mining in the Colombian Pacific Region. Environ. Res., 212.
  41. Omer, N.H., 2020. Water Quality Parameters. In: Water Quality-Science, Assessments and Policy, Summers, J.K. (Ed.), IntechOpen, London, United Kingdom, ISBN: 978-1-78985-578-4, Pages: 182.
  42. Bhateria, R. and D. Jain, 2016. Water quality assessment of lake water: A review. Sustainable Water Resour. Manage., 2: 161-173.
  43. Olson, J.R. and C.P. Hawkins, 2017. Effects of total dissolved solids on growth and mortality predict distributions of stream macroinvertebrates. Freshwater Biol., 62: 779-791.
  44. Ali, B., Anushka and A. Mishra, 2022. Effects of dissolved oxygen concentration on freshwater fish: A review. Int. J. Fish. Aquat. Stud., 10: 113-127.
  45. Okey-Wokeh, C.G., O.K. Wokeh, E. Orose, F. Lananan and M.N. Azra, 2023. Anthropogenic impacts on physicochemical and heavy metal concentrations of Ogbor Hill River Water, Southern Nigeria. Water.
  46. Ebong, G.A. and H.S. Etuk, 2017. Potability of groundwater in ITU Local Government Area, South-South of Nigeria. Int. J. Mater. Sci. Appl., 6: 126-135.
  47. Franklin, P.A., 2014. Dissolved oxygen criteria for freshwater fish in New Zealand: A revised approach. New Zealand J. Mar. Freshwater Res., 48: 112-126.
  48. Meride, Y. and B. Ayenew, 2016. Drinking water quality assessment and its effects on residents health in Wondo Genet Campus, Ethiopia. Environ. Syst. Res., 5.
  49. Rusydi, A.F., 2018. Correlation between conductivity and total dissolved solid in various type of water: A review. IOP Conf. Ser.: Earth Environ. Sci., 118.
  50. Deekae, S.N., J.F.N. Abowei and A.C. Chindah, 2010. Some physical and chemical parameters of Luubara Creek, Ogoni Land, Niger Delta, Nigeria. Res. J. Environ. Earth Sci., 2: 199-207.
  51. Liu, G., F. Jiang, L. Ge, Q. Zhang, X. Chen, Z. Fan and J. Wang, 2023. Investigation of salinity and ion effects on low salinity water flooding efficiency in a tight sandstone reservoir. Energy Rep., 9: 2732-2744.
  52. Paaijmans, K.P., W. Takken, A.K. Githeko and A.F.G. Jacobs, 2008. The effect of water turbidity on the near-surface water temperature of larval habitats of the malaria mosquito Anopheles gambiae. Int. J. Biometeorol., 52: 747-753.
  53. Tornevi, A., L. Barregård and B. Forsberg, 2015. Precipitation and primary health care visits for gastrointestinal illness in Gothenburg, Sweden. PLoS ONE, 10.
  54. Sengupta, P., 2013. Potential health impacts of hard water. Int. J. Preventive Med., 4: 866-875.
  55. Akram, S. and Fazal-ur-Rehman, 2018. Hardness in drinking-water, its sources, its effects on humans and its household treatment. J. Chem. Appl., 4.
  56. Musa, J.J., P.O.O. Dada, J.K. Adewumi, O.E. Akpoebidimiyen, E.T. Musa, M.Y. Otache and S. Yusuf, 2020. Fish pond effluent effect on physicochemical properties of soils in Southern Guinea Savanna, Nigeria. Open Access Lib. J., 7.
  57. Rao, S.M. and N.V. Mogili, 2021. New classification method to evaluate pollution levels of sewage contaminated lakes. Sustainability, 13.
  58. Aguilar-Torrejón, J.A., P. Balderas-Hernández, G. Roa-Morales, C.E. Barrera-Díaz, I. Rodríguez-Torres and T. Torres-Blancas, 2023. Relationship, importance, and development of analytical techniques: COD, BOD, and, TOC in water-An overview through time. SN Appl. Sci., 5.
  59. Lusweti, E., E.K. Kanda, J. Obando and M. Makokha, 2022. Effects of oil exploration on surface water quality-A review. Water Pract. Technol., 17: 2171-2185.
  60. Johnston, J.E., E. Lim and H. Roh, 2019. Impact of upstream oil extraction and environmental public health: A review of the evidence. Sci. Total Environ., 657: 187-199.
  61. Hong, Y., Z. Zhu, W. Liao, Z. Yan, C. Feng and D. Xu, 2023. Freshwater water-quality criteria for chloride and guidance for the revision of the water-quality standard in China. Int. J. Environ. Res. Public Health, 20.
  62. Zak, D., M. Hupfer, A. Cabezas, G. Jurasinski and J. Audet et al., 2021. Sulphate in freshwater ecosystems: A review of sources, biogeochemical cycles, ecotoxicological effects and bioremediation. Earth-Sci. Rev., 212.
  63. Beeckman, F., H. Motte and T. Beeckman, 2018. Nitrification in agricultural soils: Impact, actors and mitigation. Curr. Opin. Biotechnol., 50: 166-173.
  64. Shukla, S. and A. Saxena, 2020. Sources and leaching of nitrate contamination in groundwater. Curr. Sci., 118: 883-891.
  65. Golaki, M., A. Azhdarpoor, A. Mohamadpour, Z. Derakhshan and G.O. Conti, 2021. Health risk assessment and spatial distribution of nitrate, nitrite, fluoride, and coliform contaminants in drinking water resources of Kazerun, Iran. Environ. Res., 203.
  66. Picetti, R., M. Deeney, S. Pastorino, M.R. Miller and A. Shah et al., 2022. Nitrate and nitrite contamination in drinking water and cancer risk: A systematic review with meta-analysis. Environ. Res., 210.
  67. Grout, L., T. Chambers, S. Hales, M. Prickett, M.G. Baker and N. Wilson, 2023. The potential human health hazard of nitrates in drinking water: A media discourse analysis in a high-income country. Environ. Health, 22.
  68. Yun, Y., Z. Li, Y.H. Chen, M. Saino, S. Cheng and L. Zheng, 2018. Elimination of nitrate in secondary effluent of wastewater treatment plants by Fe0 and Pd-Cu/diatomite. J. Water Reuse Desalin., 8: 29-37.
  69. Ghamary, E. and J. Mohajeri, 2021. Efficiency of Cyperus alternifolius, Typha latifolia, and Juncus inflexus in the removal of nitrate from surface water. AQUA-Water Infrastruct. Ecosyst. Soc., 70: 654-664.
  70. Aljawahiry, T., A. Hasoon, A.F. Imran, A.K. Abdulla, M. Al-Mualm and S.N. Abbas, 2022. Effectiveness of aquatic plants in reducing water nitrates. Caspian J. Environ. Sci., 20: 1031-1037.
  71. Enyoh, C.E., A.W. Verla and N.J. Egejuru, 2018. pH variations and chemometric assessment of borehole water in Orji, Owerri Imo State, Nigeria. J. Environ. Anal. Chem., 5.
  72. Moshoeshoe, M.N. and V. Obuseng, 2018. Simultaneous determination of nitrate, nitrite and phosphate in environmental samples by high performance liquid chromatography with UV detection. South Afr. J. Chem., 71: 79-85.
  73. Li, L., Y. He, K. Song, F. Xie, Huixian Li and F. Sun, 2021. Derivation of water quality criteria of zinc to protect aquatic life in Taihu Lake and the associated risk assessment. J. Environ. Manage., 296.
  74. Kumar, V., P.K. Bharti, M. Talwar, A.K. Tyagi and P. Kumar, 2017. Studies on high iron content in water resources of Moradabad District (UP), India. Water Sci., 31: 44-51.
  75. Wasserman, G.A., X.H. Liu, F. Parvez, H. Ahsan, D. Levy and P. Factor-Litvak et al., 2006. Water manganese exposure and children's intellectual function in Araihazar, Bangladesh. Environ. Health Perspect., 114: 124-129.
  76. Farina, M., D.S. Avila, J.B.T. da Rocha and M. Aschner, 2013. Metals, oxidative stress and neurodegeneration: A focus on iron, manganese and mercury. Neurochem. Int., 62: 575-594.
  77. Bakker, E.S., E. van Donk and A.K. Immers, 2016. Lake restoration by in-lake iron addition: A synopsis of iron impact on aquatic organisms and shallow lake ecosystems. Aquat. Ecol., 50: 121-135.
  78. Albanese, S., M. Sadeghi, A. Lima, D. Cicchella and E. Dinelli et al., 2015. GEMAS: Cobalt, Cr, Cu and Ni distribution in agricultural and grazing land soil of Europe. J. Geochem. Explor., 154: 81-93.
  79. Babaahmadifooladi, M., L. Jacxsens, B. de Meulenaer and G.D. Laing, 2020. Nickel in foods sampled on the Belgian market: Identification of potential contamination sources. Food Addit. Contam.: Part A, 37: 607-621.
  80. El-Naggar, A., N. Ahmed, A. Mosa, N.K. Niazi and B. Yousaf et al., 2021. Nickel in soil and water: Sources, biogeochemistry, and remediation using biochar. J. Hazard. Mater., 419.
  81. Zambelli, B., V.N. Uversky and S. Ciurli, 2016. Nickel impact on human health: An intrinsic disorder perspective. Biochim. Biophys. Acta (BBA)-Proteins Proteomics, 1864: 1714-1731.
  82. Afzaal, M., S. Hameed, I. Liaqat, A.A.A. Khan, H. Abdul Manan, R. Shahid and M. Altaf, 2022. Heavy metals contamination in water, sediments and fish of freshwater ecosystems in Pakistan. Water Pract. Technol., 17: 1253-1272.
  83. Hossain, M. and M.G. Rakkibu, 1999. Effects of copper on aquatic ecosystems-A review. Khulna Univ. Stud., 1: 259-266.
  84. Bost, M., S. Houdart, M. Oberli, E. Kalonji, J.F. Huneau and I. Margaritis, 2016. Dietary copper and human health: Current evidence and unresolved issues. J. Trace Elem. Med. Biol., 35: 107-115.
  85. Rader, K.J., R.F. Carbonaro, E.D. van Hullebusch, S. Baken and K. Delbeke, 2019. The fate of copper added to surface water: Field, laboratory, and modeling studies. Environ. Toxic Chem., 38: 1386-1399.
  86. Obasi, P.N. and B.B. Akudinobi, 2020. Potential health risk and levels of heavy metals in water resources of lead-zinc mining communities of Abakaliki, Southeast Nigeria. Appl. Water Sci., 10.
  87. Ren, Y.S., M. Ilyas, R.Z. Xu, W. Ahmad and R. Wang, 2022. Concentrations of lead in groundwater and human blood in the population of Palosai, a rural area in Pakistan: Human exposure and risk assessment. Adsorpt. Sci. Technol., 2022.
  88. Raj, K. and A.P. Das, 2023. Lead pollution: Impact on environment and human health and approach for a sustainable solution. Environ. Chem. Ecotoxicol., 5: 79-85.
  89. Parris, K., 2011. Impact of agriculture on water pollution in OECD countries: Recent trends and future prospects. Int. J. Water Resour. Dev., 27: 33-52.
  90. Levallois, P., P. Barn, M. Valcke, D. Gauvin and T. Kosatsky, 2018. Public health consequences of lead in drinking water. Curr. Environ. Health Rep., 5: 255-262.
  91. Fawkes, L. and G. Sansom, 2021. Preliminary study of lead-contaminated drinking water in public parks-an assessment of equity and exposure risks in two Texas communities. Int. J. Environ. Res. Public Health, 18.
  92. Lu, W., R. Levin and J. Schwartz, 2022. Lead contamination of public drinking water and academic achievements among children in Massachusetts: A panel study. BMC Public Health, 22.
  93. Lee, J.W., H. Choi, U.K. Hwang, J.C. Kang, Y.J. Kang, K.I. Kim and J.H. Kim, 2019. Toxic effects of lead exposure on bioaccumulation, oxidative stress, neurotoxicity, and immune responses in fish: A review. Environ. Toxicol. Pharmacol., 68: 101-108.
  94. Kubier, A., R.T. Wilkin and T. Pichler, 2019. Cadmium in soils and groundwater: A review. Appl. Geochem., 108.
  95. Peixoto, R.R.A. and C. Jadán-Piedra, 2021. Cadmium pollution of water, soil, and food: A review of the current conditions and future research considerations in Latin America. Environ. Rev., 30: 110-127.
  96. Adesiyan, I.M., M. Bisi-Johnson, O.T. Aladesanmi, A.I. Okoh and A.O. Ogunfowokan, 2018. Concentrations and human health risk of heavy metals in rivers in Southwest Nigeria. J. Health Pollut., 8.
  97. Okyere, H., R.B. Voegborlo and S.E. Agorku, 2015. Human exposure to mercury, lead and cadmium through consumption of canned mackerel, tuna, pilchard and sardine. Food Chem., 179: 331-335.
  98. Tumolo, M., V. Ancona, D. de Paola, D. Losacco, C. Campanale, C. Massarelli and V.F. Uricchio, 2020. Chromium pollution in European water, sources, health risk, and remediation strategies: An overview. Int. J. Environ. Res. Public Health, 17.
  99. Georgaki, M.N. and M. Charalambous, 2023. Toxic chromium in water and the effects on the human body: A systematic review. J. Water Health, 21: 205-223.
  100. Kosarev, A.V., D.E. Ivanov and A.F. Kamenets, 2022. The effect of manganese ions (II) on representatives of aquatic biota. IOP Conf. Ser.: Earth Environ. Sci., 949.
  101. Matveeva, V.A., A.V. Alekseenko, D. Karthe and A.V. Puzanov, 2022. Manganese pollution in mining-influenced rivers and lakes: Current state and forecast under climate change in the Russian arctic. Water, 14.
  102. Dion, L.A., D. Saint-Amour, S. Sauvé, B. Barbeau, D. Mergler and M.F. Bouchard, 2018. Changes in water manganese levels and longitudinal assessment of intellectual function in children exposed through drinking water. NeuroToxicology, 64: 118-125.
  103. Liu, W., Y. Xin, Q. Li, Y. Shang and Z. Ping et al., 2020. Biomarkers of environmental manganese exposure and associations with childhood neurodevelopment: A systematic review and meta-analysis. Environ. Health, 19.
  104. Cabral, D.S., L.C.C. Medeiros, B.V.B. Alves, L.S. Passos and T.M. Pereira et al., 2022. Do iron and manganese affect the health of the estuarine oyster Crassostrea rhizophorae? Estuarine Coastal Shelf Sci., 268.
  105. Zhao, M., Y. Jiang, Y. Jia, X. Lian and F. Feng et al., 2023. Anthropogenic perturbation enhances the release of geogenic Mn to groundwater: Evidence from hydrogeochemical characteristics. Sci. Total Environ., 891.
  106. Su, B., G. Zhao and C. Dong, 2018. Spatiotemporal variability of soil nutrients and the responses of growth during growth stages of winter wheat in Northern China. PLoS ONE, 13.
  107. Ebong, G., E. Moses, O. Akpabio and R. Udombeh, 2022. Physicochemical properties, total concentration, geochemical fractions, and health risks of trace metals in oil-bearing soils of Akwa Ibom State, Nigeria. J. Mater. Environ. Sustainability Res., 2: 1-18.
  108. Čiuldienė, D., E. Vigricas, O. Belova, M. Aleinikovas and K. Armolaitis, 2020. The effect of beaver dams on organic carbon, nutrients and methyl mercury distribution in impounded waterbodies. Wildlife Biol., 2020: 1-8.
  109. Xie, F., M. Yu, Q. Yuan, Y. Meng and Y. Qie et al., 2022. Spatial distribution, pollution assessment, and source identification of heavy metals in the Yellow River. J. Hazard. Mater., 436.
  110. Turunen, K., T. Räsänen, E. Hämäläinen, M. Hämäläinen, P. Pajula and S.P. Nieminen, 2020. Analysing contaminant mixing and dilution in river waters influenced by mine water discharges. Water Air Soil Pollut., 231.
  111. da Silva, E.F., S.F.P. Almeida, M.L. Nunes, A.T. Luís and F. Borg et al., 2009. Heavy metal pollution downstream the abandoned Coval da Mó mine (Portugal) and associated effects on epilithic diatom communities. Sci. Total Environ., 407: 5620-5636.
  112. Grösbacher, M., D. Eckert, O.A. Cirpka and C. Griebler, 2018. Contaminant concentration versus flow velocity: Drivers of biodegradation and microbial growth in groundwater model systems. Biodegradation, 29: 211-232.
  113. Guo, Q., Y. Zhao, Z. Hu and M. Li, 2021. Contamination transport in the coastal unconfined aquifer under the influences of seawater intrusion and inland freshwater recharge-laboratory experiments and numerical simulations. Int. J. Environ. Res. Public Health, 18.
  114. Etuk, H.S., G.A. Ebong, E.U. Dan and H.F. Udoh, 2022. Probability of health risk, bioaccumulation, and geochemical fractions of toxic elements in soils and vegetables impacted by manures in Nigeria. Environ. Prot. Res., 2: 75-94.
  115. Kahangwa, C.A., 2022. Application of principal component analysis, cluster analysis, pollution index and geoaccumulation index in pollution assessment with heavy metals from gold mining operations, Tanzania. J. Geosci. Environ. Protect., 10: 303-317.
  116. Loboichenko, V., N. Leonova, R. Shevchenko, A. Kapustnik, S. Yeremenko and A. Pruskyi, 2021. Assessment of the impact of natural and anthropogenic factors on the state of water objects in urbanized and non-urbanized areas in Lozova District (Ukraine). Ecol. Eng. Environ. Technol., 22: 59-66.
  117. Bojarczuk, A., Ł. Jelonkiewicz and A. Lenart-Boroń, 2018. The effect of anthropogenic and natural factors on the prevalence of physicochemical parameters of water and bacterial water quality indicators along the River Białka, Southern Poland. Environ. Sci. Pollut. Res., 25: 10102-10114.
  118. Otero, N. and A. Soler, 2002. Sulphur isotopes as tracers of the influence of potash mining in groundwater salinisation in the Llobregat Basin (NE Spain). Water Res., 36: 3989-4000.
  119. Ebong, G.A., H.S. Etuk, E.U. Dan and M.A. Onukwubiri, 2021. Waste management: Impact on metal accumulation and speciation in Aba River channel, Nigeria. Geosyst. Eng., 24: 46-60.
  120. Xu, Y., T. Zhou, Y. Su, L. Fang and A.R. Naidoo et al., 2023. How anthropogenic factors influence the dissolved oxygen in surface water over three decades in Eastern China? J. Environ. Manage., 326.
  121. Kumar, A., D.K. Jigyasu, A. Kumar, G. Subrahmanyam and R. Mondal et al., 2021. Nickel in terrestrial biota: Comprehensive review on contamination, toxicity, tolerance and its remediation approaches. Chemosphere, 275.
  122. Chow, Y.N., L.K. Lee, N.A. Zakaria and K.Y. Foo, 2021. Integrated assessment of nickel electroplating industrial wastewater effluent as a renewable resource of irrigation water using a hydroponic cultivation system. Front. Plant Sci., 12.
  123. Hussain, M., S.M. Ahmed and W. Abderrahman, 2008. Cluster analysis and quality assessment of logged water at an irrigation project, Eastern Saudi Arabia. J. Environ. Manage., 86: 297-307.
  124. Ebong, G.A., H.S. Etuk and E.U. Dan, 2018. Distribution, pollution index and associated health risk of trace metals in waste-impacted soils within Akwa Ibom State, Nigeria. Geosyst. Eng., 21: 121-134.
  125. Ayeni, A.O. and A.S.O. Soneye, 2013. Interpretation of surface water quality using principal components analysis and cluster analysis. J. Geogr. Reg. Plann., 6: 132-141.
  126. Anyanwu, E.D. and E.D. Nwachukwu, 2020. Heavy metal content and health risk assessment of a South-Eastern Nigeria River. Appl. Water Sci., 10.
  127. Liu, W., H. Feng, S. Zheng, S. Xu and I.Y. Massey et al., 2021. Pb toxicity on gut physiology and microbiota. Front. Physiol., 12.
  128. Khan, Z., A. Elahi, D.A. Bukhari and Abdul Rehman, 2022. Cadmium sources, toxicity, resistance and removal by microorganisms-A potential strategy for cadmium eradication. J. Saudi Chem. Soc., 26.
  129. Qaiser, M., I. Ahmad, S. Ahmad, M. Afzal and Abdul Qayyum, 2019. Assessing heavy metal contamination in oil and gas well drilling waste and soil in Pakistan. Pol. J. Environ. Stud., 28: 785-793.
  130. Usman, A., A. Isiyaku, A. Abdullahi, H.G. Lawal and G.C. Wahuma et al., 2022. Health risk indices associated with heavy metals from vegetables cultivated in Tsagero District, Rimi Local Government Area, Katsina State, Nigeria. Bayero J. Pure App. Sci., 15: 125-130.
  131. Ebong, G.A., H.S. Etuk and E.U. Dan, 2019. Multivariate statistical evaluation of ecological risks associated with the uncontrolled tipping method of urban wastes at Uyo village road, Akwa Ibom State, Nigeria. Singapore J. Sci. Res., 9: 1-12.
  132. Udiba, U.U., M.O. Odey, U.U. Udofia, E.R. Akpan, J. Ama, E.E. Antai and M.U. Dan, 2022. Dietary intake, carcinogenic and non-carcinogenic risk potentials of lead, cadmium, mercury and arsenic exposure via consumption of dried crayfish in Calabar, Nigeria. J. Geosci. Environ. Protect., 10: 340-363.
  133. Karimyan, K., M. Alimohammadi, A. Maleki, M. Yunesian, R.N. Nodehi and A.R. Foroushani, 2020. Human health and ecological risk assessment of heavy metal(loid)s in agricultural soils of rural areas: A case study in Kurdistan Province, Iran. J. Environ. Health Sci. Eng., 18: 469-481.
  134. Sulaiman, F.R., N. Mohamed and A.Z. Aris, 2023. Occurrence, origin, and risk assessment of metals in drinking water from a tropical suburban area (Jengka, Malaysia). Appl. Water Sci., 13.
  135. Cao, S., X. Duan, X. Zhao, J. Ma and T. Dong et al., 2014. Health risks from the exposure of children to As, Se, Pb and other heavy metals near the largest coking plant in China. Sci. Total Environ., 472: 1001-1009.
  136. Orosun, M.M., A.D. Adewuyi, N.B. Salawu, M.O. Isinkaye, O.R. Orosun and A.S. Oniku, 2020. Monte Carlo approach to risks assessment of heavy metals at automobile spare part and recycling market in Ilorin, Nigeria. Sci. Rep., 10.
  137. Mirzabeygi, M., A. Abbasnia, M. Yunesian, R.N. Nodehi, N. Yousefi, M. Hadi and A.H. Mahvi, 2017. Heavy metal contamination and health risk assessment in drinking water of Sistan and Baluchistan, Southeastern Iran. Hum. Ecol. Risk Assess. Int. J., 23: 1893-1905.
  138. Ramadan, J.A. and A.I. Haruna, 2019. Health risk assessment from exposure to heavy metals in surface and groundwater resources within Barkin Ladi, North Central Nigeria. J. Geosci. Environ. Protect., 7.
  139. Jalil, H.M., S. Rezapour, A. Nouri and N. Joshi, 2022. Assessing the ecological and health implications of soil heavy metals in vegetable irrigated with wastewater in calcareous environments. Agric. Water Manage., 272.
  140. Alsafran, M., K. Usman, M. Rizwan, T. Ahmed and H. Al Jabri, 2021. The carcinogenic and non-carcinogenic health risks of metal(oid)s bioaccumulation in leafy vegetables: A consumption advisory. Front. Environ. Sci., 9.

How to Cite this paper?


APA-7 Style
Tombere, V.P., Okokon Okon, A.M., Ebong, G.A., Akpan, A.W. (2023). Physicochemistry of Iko River Channel in Nigeria and the Related Human Health Problems. Asian J. Biol. Sci, 16(4), 417-437. https://doi.org/10.3923/ajbs.2023.417.437

ACS Style
Tombere, V.P.; Okokon Okon, A.M.; Ebong, G.A.; Akpan, A.W. Physicochemistry of Iko River Channel in Nigeria and the Related Human Health Problems. Asian J. Biol. Sci 2023, 16, 417-437. https://doi.org/10.3923/ajbs.2023.417.437

AMA Style
Tombere VP, Okokon Okon AM, Ebong GA, Akpan AW. Physicochemistry of Iko River Channel in Nigeria and the Related Human Health Problems. Asian Journal of Biological Sciences. 2023; 16(4): 417-437. https://doi.org/10.3923/ajbs.2023.417.437

Chicago/Turabian Style
Tombere, Victoria, Paul, Aniefiok Mkpong Okokon Okon, Godwin Asukwo Ebong, and Anthony William Akpan. 2023. "Physicochemistry of Iko River Channel in Nigeria and the Related Human Health Problems" Asian Journal of Biological Sciences 16, no. 4: 417-437. https://doi.org/10.3923/ajbs.2023.417.437