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REVIEW OF HEAVY METALS (continued)

7. LEVELS OF HEAVY METALS IN DIFFERENT ENVIRONMENTAL COMPARTMENTS (continued)

Table VI
Mean metal concentrations in inland water fish (μg/g fresh weight)

LocationHgCdPbAsCuZnMnFeReferences
FINFISH         
 Lake Mariut, Egypt 0.15  3.7    7.60.911.2Saad et al., 1981a
 Lakes Idku, Mariut, Egypt0.01    0.0040.67 0.0311.77  7.4  El Nabawi et al., 1987
 Nozha 0.05  3.14  8.0 12.6Saad, 1987
Hydrodrome, Egypt0.053<0.10  0.43 0.36  5.6   0.63  3.8Biney, 1991
 Kpong Headpond, Ghana0.37  0.190.47 0.18  3.0  Biney and Beeko, 1991
 River Wiwi, Ghana0.0340.030.48 0.70  4.81.1  5.4Kakulu et al., 1987a
 Niger Delta, Nigeria0.0440.050.170.362.0   22   1.8 Greichus et al., 1978a
 Lake Nakuru, Kenya 0.04–0.120.4–1.1 0.15–0.532.21–7.020.22–0.740.53–4.65Wandiga and Onyari, 1787
 Lake Victoria, Kenya* 0.020.170.281.08    9.65.4 Greichus et al., 1978
 Lake Mcllwaine, Zimb. 0.020.050.260.66  11.81.6 Greichus et al., 1977
 Hartbeesport Dam, S.A. 0.01<0.02   0.400.30    6.6   0.24 Greichus et al., 1977
 Voëlvlei Dam, S. Africa         
          
SHELLFISH         
Macrobrachium sp.0.04   <0.10  4.36 11.016.1  Biney, 1991
 Lower Volta R., Ghana0.02   0.042.47   8.514.1  Kakulu et al., 1987a
 Niger Delta, Nigeria         
Egeria radiata0.05   <0.10  1.37   4.520.2  Biney, 1991
 Lower Volta R., Ghana         
WHO Limits 0.05**2.0  2.0   30 1000  Kakulu et al., 1987a

* Range values

** Action level adopted in many countries

Table VII
Mean metal concentrations in marine fish (μg/g fresh weight)

LocationHgCdPbCuZnReference
FINFISH      
 Egypt0.077    0.0040.071.65      4.23El Nabawi et al., 1987
 Senegal0.17  <0.100.500.73      4.55Ba, 1988
 Côte d'Ivoire0.11  <0.25 <0.80         4.86Métongo, 1988
 Ghana0.064<0.100.360.46      4.63Institute of Aquatic Biology, 1990
 Ghana0.24      Ntow and Khwaja, 1989
 Nigeria <0.102.2811.3        27.5Okoye, 1991
 Cameroon0.09     0.26   Mbome et al., 1985
 Cameroon0.06   <0.101.830.75      5.55Mbome, 1988
 Kenya* 0.04–0.381.22–6.480.36–2.044.67–40.8Wandiga and Onyari, 1987
       
SHELLFISH      
Penaeus sp.      
 Senegal0.17  <0.10<0.50   4.68    13.9Ba, 1988
 Côte d'Ivoire0.042<0.25 6.02    17.9Métongo, 1988
 Ghana0.033<0.100.826.16    14.9Institute of Aquatic Biology, 1990
 Nigeria   0.185.1023.6   240Okoye, 1991
 Cameroon0.057<0.10   Mbome et al., 1985
 Cameroon0.070  0.21 9.5      40.4Mbome, 1988
Crassostrea sp.      
 Côte d'Ivoire0.125  0.65 24.5    1205 Métongo, 1991
 Nigeria   0.172.095.80628Okoye, 1991
 Cameroon0.072  0.56   Mbome et al., 1985
 Cameroon0.083  0.25 8.45407Mbome, 1988
 South Africa   1.620.082.35213Watling and Watling, 1982a
 WHO Limits0.5**2.02.0   30.0     1000 Kakulu et al., 1987a

* Range values

** Action level adopted in many countries

In support of what has been reported in several studies (Hellawell, 1986; Kakulu and Osibanjo, 1986; Kakulu et al., 1987a; Institute of Aquatic Biology, 1990), shellfish had higher concentrations of most metals. The highest concentrations of cadmium, copper and zinc occurred in Crassostrea sp. which has a great capacity to accumulate contaminants and is a biological indicator of pollution.

7.4 Concentration of Metals in Aquatic Flora

Aquatic plants have been shown to accumulate heavy metals in their tissues and therefore have been used as biological indicators for metal pollution monitoring in the aquatic ecosystem. Table VIII shows the distribution of heavy metals in aquatic plants. Generally, the levels in aquatic plants from inland waters were higher than in those from coastal waters. The variability in the levels of heavy metals in different regions could be ascribed to biological variation between the species rather than environmental factors. Nonetheless, higher concentrations of cadmium were found in Ceratophyllum from industrial areas in Egypt compared to relatively unpolluted areas (Fayed and Abd El-Shafy, 1985). Furthermore, it is significant that an excessively high value of lead (78.0 μg/g) was found in blue-green algae from Lake Mcllwaine, Zimbabwe (Greichus et al., 1978) compared to the rest of the region.

7.5 Comparison between metal contents in sediments and biota

Comparisons between heavy metal concentrations in sediments and biota of selected African waters are shown in Table IX. In Egypt all metals except cadmium showed higher values in the sediments than in fish (Saad, 1985a, 1987). In Ghana only iron and lead followed this pattern, whereas the other metals gave higher values in certain flora and fauna (Biney, 1991a). In Kenya the metals accumulated in higher concentrations in sediments than in fish (Wandiga and Onyari, 1987). In Southern Africa the same pattern occurred with few exception (Greichus et al., 1977). The levels of accumulation of metals in the different flora and fauna did not follow the same pattern.

7.6 Comparison between different sub-regions in Africa

In Tables X and XI are presented the trace metal concentrations in sediments and in fish muscle and shellfish from the major African sub-regions, Northern, Western, Eastern and Southern Africa. The data presented are ranges of means based on Tables IV and V for sediments and Tables VI and VII for fin- and shellfish. Hot-spots, i.e., abnormally high concentrations were excluded form the calculations since the objective is to compare actual background levels from the different sub-regions in Africa.

An inspection of Tables X and XI shows inadequacy of data especially for the coastal and marine areas. In spite of this, the four regions exhibit comparable concentrations of trace metals in both inland and coastal fish and sediment. Mercury for example, occurred in finfish within the narrow ranges of 0.01 to 0.053 μg/g fresh weight for inland fishes and 0.06 to 0.17 for marine fishes. Corresponding values for cadmium were 0.004 to 0.19 and 0.004 to 0.36 μg/g fresh weight.

Table VIII
Mean metal concentrations in aquatic plants (μg/g dry weight)

LocationHgCdPbAsCuZnMnFeReferences
INLAND WATERS         
          
River Nile, Egypt         
 Ceratophyllum (clean site) <0.05  2.7   2.713.8  Fayed and Abd El-Shafy, 1985
 Ceratophyllum (industrial site) 0.3022.2   36.4117.0  Fayed and Abd El-Shafy, 1985
          
Lower Volta River, Ghana         
 Ceratophyllum0.370.9917.4   12.245.433322579Biney, 1991
 Pistia stratiotes0.310.9322.6   12.639.822593852Biney, 1991
 Potamogeton octandrus0.25<0.20  9.4   5.312.523701113Biney, 1991
 Vallisneria aethiopica0.131.3323.2   12.642.918093560Biney, 1991
          
Lake Mcllwaine, Zimbabwe         
 Blue-green algae0.261.578    2.9 190      220 Greichus et al., 1978
          
Harbeespoort Dam, S. Africa         
 Algae1.6  0.06<0.10  1.5  2.739.0    96 Greichus et al., 1977
 Eichhornia0.710.232.64.112.042.0  840 Greichus et al., 1977
          
COASTAL WATERS         
          
Accra, Ghana         
 Ulva fasciatus (Green algae)<0.10  <0.2  8.3   6.924.8   163Environ. Management Associates, 1989
 Sargassum vulgare (Brown algae)<0.10  <0.2  8.5   7.237.8   342Environ. Management Associates, 1989
 Polycavernosa dentata (Red Algae)<0.10  1.48.6   4.533.0   452Environ. Management Associates, 1989

Table IX
Comparison of trace metal concentrations in sediments, fauna and flora (μg/g dry weight)

MatrixHgCdPbCuZnMnFeAsReferences
INLAND WATERS         
          
Lake Mariut, Egypt         
 Sediment 0.07 91162   4747 Saad, 1985a
 Finfish 0.25 2359   257 Saad, 1985a
          
Nozha Hydrodrome,  Egypt 0.16   133156   8628 Saad, 1987
 Sediment 0.47 3441   109 Saad, 1987
 Finfish         
          
Lower Volta River, Ghana <0.2   21.7     29.539.1318     56821   Biney, 1991
 Sediment0.290.8918.8     11.237.62560      2922 Biney, 1991
 Macrophytes0.19<0.2   6.0   38.269.133.2      80.1 Biney, 1991
 Shellfish0.29<0.2   2.3     2.030.7  3.4      19.0 Biney, 1991
 Finfish         
          
Hartbeesport Dam, S.Afr.0.600.8763      41260    680   75     Greichus et al., 1977
 Sediment1.600.06<0.1         2.739   96 1.5Greichus et al., 1977
 Algae0.710.232.6  1242   840   4.1Greichus et al., 1977
 Macrophytes0.520.051.0      2.9120     12 2.3Greichus et al., 1977
 Finfish         
          
Lake Victoria, Kenya* 0.55–1.026.02–69.40.19–78.62.54–265.253.7–6161180–52880 Wandiga and Onyari, 87
 Sediment 0.04–0.120.39–1.080.15–0.532.2–7.020.12–0.740.53–4.65 Wandiga and Onyari, 87
 Finfish         
          
COASTAL WATERS         
          Saad et al., 1981
Mediterranean, Egypt 2.18    24.135.4151  1470 El Nabawi et al., 1987
 Sediment 0.02       8.2521.2    
 Finfish         

* Range values

Table X
Metal concentrations in sediment from the major African sub-regions (μg/g dry weight)

Sub-regionHgCdPbCuZnMnFe(×103)
INLAND WATERS       
         
 Northern Africa 0.15–0.207.3–10.638.0–85.694–139387–9580.46–58
 Western and Central Africa0.21–0.330.16–0.2013.4–16.724.7–30.316–62295–352   55–60
 Eastern Africa<0.050.27–1.026.02–18.10.96–6.22.54–140  53–5501.18–69
 Southern Africa0.02–0.280.19–1.09.0–17.810.5–41.036–289150–350   12–16
        
COASTAL WATERS       
         
 Northern Africa0.122.02–3.20 12–1435–51 1.1–4.5
 Western and Central Africa0.10–0.352.30–4.1057.6–67.513–3773–187  36–52
 Southern Africa0.0190.2348.46.741  

Table XI
Metal concentrations in fish from the major African sub-regions (μg/g fresh weight)

Sub-regionHgCdPbAsCuZnMnFe
FINFISH        
         
Inland Waters        
 Northern Africa0.0100.004–0.150.670.0311.77–3.707.4–8.00.911.2–12.6
 Western and Central Africa0.034–0.0530.03–0.190.43–0.48 0.18–0.703.0–5.60.63–1.13.8–5.4
 Eastern Africa0.0440.04–0.120.17–1.10.0360.15–2.02.2–220.74–1.80.53–4.7
 Southern Africa 0.01–0.020.02–0.170.26–0.400.30–1.086.6–11.80.24–5.4 
         
Coastal Waters        
 Northern Africa0.0770.0040.07 1.654.23  
 Western and Central Africa0.06–0.170.10–0.260.36–2.28 0.46–11.34.55–27.5  
 Eastern Africa 0.04–0.361.22–6.48 0.36–2.044.67–40.8  
         
SHELLFISH        
         
Western and Central Africa        
 Penaeus sp.0.033–0.170.10–0.250.50–5.10 4.68–23.613.9–240  
 Crassostrea gasar0.072–0.130.17–0.652.09 5.8–24.5407–1205  
         
Southern Africa        
 Crassostrea magaritacea  0.05 4.0229  

Table XII
Comparison of metal concentrations in sediment from Africa and other areas of the world (μg/g dry weight)

LocationHgCdPbCuZnReference
African inland waters0.24
(0.02–0.60)
0.37
(0.10–1.0)
23.2
(7.3–63)
26.3
(0.96–41)
82.5
(2.54–140)
This study
African coastal waters0.19
(0.1–0.35)
2.78
(2.0–4.1)
57.8
(48–68)
19.4
(12–37)
92
(35–102)
This study 
North-east Ontario lakes   10.5–2900130–448Bradley and Morris, 1986
Narragansett Bay, USA 0.06–2.4517–8136–9853–168Eisler et al., 1977
River Tawe, Wales 398623265107Vivian and Massie, 1977
Liverpool Dock, UK  109–61390–1592734–2087Bellinger and Benham, 1987
Portsmouth Habour, UK 0.5–3.349–11426–7261–210Soulsby et al., 1978
Evoikos Gulf, Greece0.4–1.1   52–147Angelidis et al., 1981
Straits of Malaca ND*-1256.5–35-31.0–26.3 Sen Gupta et al., 1990
Bahrain13–1060.02–0.051.70–15.15.60–10.0 Sen Gupta et al., 1990
Kuwait50–1700.09–0.233.3–6820.1–21.9 Sen Gupta et al., 1990
Saudi Arabia3–372.5–5.00.6–4.25.4–16.64.0–23Linden et al., 1990
Hong Kong   2296Gomez et al., 1990
South China Sea 0.41–2.39 1.94–9.2112.5–49.9Gomez et al., 1990
Jakarta Bay0.05–40005.0–400 10–78060–7140Gomez et al., 1990
Wellington Habour, New Zealand  22–674015–21655–2270Brodie et al., 1990
Fiji<0.21.1–2.26.8–1085–15054–220Brodie et al., 1990

* ND - Not Detected

Table XIII
Comparison of metal concentrations in fish from Africa and other areas of the world (μg/g fresh weight)

LocationHgCdPbCuZnReference
African inland waters0.035
(0.01–0.053)
0.053
(0.004–0.19)
0.31
(ND*-0.67)
0.85
(0.18–2.0)
7.16
(3.0–11.8)
This study
African coastal waters0.095
(0.06–0.17)
0.069
(ND-0.26)
0.69
(0.07–1.83)
0.80
(0.40–1.65)
4.76
(4.23–5.55)
This study
British rivers0.17
(0.023–0.32)
0.15
(ND-0.35)
0.87
(ND-4.30)
  Mason, 1987
Northern Tyrrhenian Sea1.21
(0.11–2.81)
<0.02<0.200.37
(0.24–0.44)
3.92
(2.92–5.19)
Leonzi et al., 1981 
Finnish lakes0.77
(0.50–4.06)
    Surma-Aho et al., 1986
Northern Indian Ocean0.010.900.620.81 Sen Gupta et al., 1990
Bahrain0.004–1.070.00003–0.071 0.10.0.47 Linden et al., 1990
Straits of Malacca0.01–0.58ND-0.10ND-1.200.05–0.751.70–10.8Gomez et al., 1990
Indonesia0.02–0.200.02–0.030.09–0.680.33–0.680.30–9.96Gomez et al., 1990
Gulf of Thailand0.01–0.100.01–0.060.01–0.090.50–1.256.20–11.8Gomez et al., 1990
Phillipines0.01–1.10ND-0.360.01–0.08ND-4.430.20–58-4Gomez et al., 1990
Hong KongND-0.40NDND-0.30ND-1.100.80–25.4Gomez et al., 1990
New Zealand0.02–1.100.01–0.030.03–0.180.12–0.750.80–5.1Brodie et al., 1990
Papua New Guinea0.03–0.40ND-0.10ND-0.300.30–0.703.0–5.0Brodie et al., 1990

* ND - Not Detected

Where comparable data were available, coastal fishes showed slightly higher maximum values of trace metals than inland fishes. This was also true for sediments and may be due to the data originating mainly from coastal lagoons which are normally heavily influenced by anthropogenic activities.

7.7 Comparison of African data with some other areas of the world

The levels of heavy metals in sediments and finfish from African inland and coastal waters are presented alongside data from some other areas of the world in Tables XII and XIII. The means and ranges for African waters were calculated from Tables IV and V for sediments and Tables VII and VIII for fish, excluding the hot spots.

Comparison of such data may be difficult since data calculated for the whole African region are being judged in relation to selected individual areas and sites of the world which may not be representative for their regions. Moreover, different species of fish and fractions of sediments were analyzed. Also, information on sex and weight is often lacking, and comparison is further complicated by the differences in data presentation. For example, analytical results may be presented as means or ranges on a dry or wet weight basis.

The above notwithstanding, the occurrence of trace metals in African aquatic systems is not excessive when compared to some other areas of the world. For example, mean mercury levels in fish were lower by an order of magnitude compared to values reported for mullets in the Tyrrhenian Sea, an area close to naturally occurring mercury deposits (Leonzi et al., 1981). They were, however, similar to levels in other tropical, less industrialized areas like Indonesia and Thailand (Gomez et al., 1990). The maximum cadmium concentrations were also low compared to fish from British rivers (Mason, 1987) and from the coast of the Philippines (Gomez et al., 1990), but they were within the same range as levels in other areas.

With the exception of lead, inland and coastal water sediments also had comparable or relatively low contents of Hg, Cd, Cu and Zn. Admittedly, these comparisons are based on data which exclude hot spots. However, the low occurrence of heavy metals in African aquatic environments indicate low inputs of contaminants containing trace metals, compared to the more industrialized regions.

8. CONTROL MEASURES

In view of the expected increase in industrialization and urbanization in most African countries, it is still important to formulate pollution control policies that take into account the need to regulate discharges of contaminants into aquatic systems.

In spite of the actual relatively low inputs of contaminants, there is increasing awareness of the need to control waste discharges into the environment. In general, many African countries, aware of the possible detrimental effects, have formulated various laws to control aquatic pollution, although many of these are not enforced.

Since trace metals originate from both domestic and industrial discharges, the control of these sources would also serve to control trace metal contamination of the environment. In addition to legislation, control measures should include the formulation of standards and criteria, effluent treatment, monitoring, environmental training and education programmes. These aspects have been treated in detail for African inland in this publication on pages 7 ff and 23 ff, respectively, and can equally well apply to coastal waters.

It is also important to add that, as part of the objectives of pollution control, emphasis should be placed on the need to minimize waste generation. Industries should be encouraged to adopt low- and non-waste technologies (LNWT) at all stages of a products life, i.e. raw material extraction, production, use and disposal. For planned and proposed industries the achievement of LNWT is possible through the assessment of their potential impacts on the environment and through the adoption of clean manufacturing processes in the design stage. Environmental auditing which involves self regulation should also be encouraged within the business community as part of an overall environmental management policy. The advantage here is that self-regulation is frequently more effective than reliance on official rules which may not cover every contingency.

9. CONCLUSIONS

This review of heavy metals in the African aquatic environment has shown that available data originate from only a few areas of the continent, are scattered and may be inconsistent in some cases. Besides, depending on the area, more information may exist on coastal than on inland areas or vice versa. It is also not possible to establish a trend in heavy metal accumulation since data cover only a narrow period of time. There is, therefore, a need to generate more data covering the different environmental compartments in all the African sub-regions.

Despite this inadequacy, some conclusions may be drawn from this review. Generally, lower concentrations of heavy metals occur in African aquatic systems compared to other areas of the world. Concentrations in inland and coastal environments exhibit no significant differences and on a continental level, the four geographical areas - Northern, Western, Eastern and Southern Africa - have similar low levels. There are however some hot-spots, such as lake Mariut, Lagos lagoon, Ebrié lagoon and Hartbeespoort dam.

With the expected increases in urbanization and socio-economic activities, there is the need to identify the sources and quantify the discharges of heavy metals into aquatic environments on a national basis. It is also important to formulate pollution control measures in each country which should cover legislation, standards and criteria, waste minimization, effluent treatment, monitoring, training, education and public awareness.


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