Elwasify, A., Ghanem, M., El-Bamby, M., Ali, F. (2019). Seasonal and regional variations of five heavy metals in water, sediments and fishes inhabiting Lake Qarun, Egypt. Al-Azhar Journal of Agricultural Research, 44(1), 128-135. doi: 10.21608/ajar.2019.59744
A. Y. Elwasify; M. H. Ghanem; M. M. El-Bamby; F. A. Ali. "Seasonal and regional variations of five heavy metals in water, sediments and fishes inhabiting Lake Qarun, Egypt". Al-Azhar Journal of Agricultural Research, 44, 1, 2019, 128-135. doi: 10.21608/ajar.2019.59744
Elwasify, A., Ghanem, M., El-Bamby, M., Ali, F. (2019). 'Seasonal and regional variations of five heavy metals in water, sediments and fishes inhabiting Lake Qarun, Egypt', Al-Azhar Journal of Agricultural Research, 44(1), pp. 128-135. doi: 10.21608/ajar.2019.59744
Elwasify, A., Ghanem, M., El-Bamby, M., Ali, F. Seasonal and regional variations of five heavy metals in water, sediments and fishes inhabiting Lake Qarun, Egypt. Al-Azhar Journal of Agricultural Research, 2019; 44(1): 128-135. doi: 10.21608/ajar.2019.59744
Seasonal and regional variations of five heavy metals in water, sediments and fishes inhabiting Lake Qarun, Egypt
1Department of Environment and Bio-Agriculture, Faculty of Agriculture (Cairo), Al-Azhar University, Egypt
2Department of Ecophysiology-Zoology, Faculty of Science, (Cairo), Al-Azhar University, Egypt
3Department of Plant Protection, Faculty of Agriculture (Cairo), Al-Azhar University, Egypt
Abstract
The study was conducted during the period from October 2015 to September 2016 to investigate the accumulation of five heavy metals in three fish species (Tilapia zillii, Solea solea and Mugil cephalus) inhabiting lake Qarun, Egypt. Water, sediments and fish samples were collected from six sites cover eastern, middle and western sectors of the lake during the four studied seasons. The results indicated that, summer time showed the highest pH, salinity, biological oxygen demand and nitrates concentration, while autumn and spring times showed the highest nitrites concentration depending on the site. The abundance of metals in lake water, sediments and fish followed the order: Fe > Zn ≈ Mn > Cu > Cd. In all fish species Fe and Zn exceeded the permissible limits. Regardless fish species, the highest concentrations of metals were recorded in fish liver, while the lowest in fish muscles. Mugilspecies seemed to be more contaminated with metals thanthe other species. It is recommended to coordinate different efforts to rescue Lake Qarun from heavy metal pollution.
Lake Qarun is located in the western desert in the deepest part of Fayoum depression and lies 83 Km south west of Cairo. Lake Qarun attracts attention of many researchers because of its historical and scientifically importance to study its unique ecosystem. The description of the lake ecosystem, climatic conditions and sources of pollution were previously published (Authman and Abbas 2007; Hussein et al., 2008; Abdel Satar et al., 2010; Ibrahim and Ramzy, 2013; Tayel et al., 2013). For example, Authman and Abbas, (2007) reported that most of agricultural drainage water reaches the lake by two main drains, El-Batts and El-Wadi. There are minor drains poured its drainage water into the lake by means of hydraulic pumps but in small amounts.
The present study was conducted to get recent information about the seasonal and regional distribution of heavy metals in the lake components (Water, sediments and inhabiting fishes). So, on the basis of previous and current results, one can allow the buildup of a meaningful database that can be used for comparative assessment and trend delineation.
MATERIALS AND METHODS
Study Area
Six stations or sites were selected to cover eastern, middle and western sectors of Lake Qarun (two sites / sector). The selection was determined by using Geographic Position System model 53. Fig. (1) shows the sampling locations.
Sampling
Samples of lake water, sediments and fish were collected during the period from October, 2015 to September, 2016. Surface water samples were collected by Ruttner bottle water sampler with capacity of 1-2 L. Samples for dissolved oxygen were collected in oxygen bottle (300 ml capacity). The other water samples were collected in polyethylene bottles for measuring other physicochemical parameters and heavy metals concentrations. Sediments samples were collected using Van Veen type, grab. Three fish species (Tilapia zillii, Solea solea andMugilsp.) which are the most common fishes in the lake and widely consumed were caught. A total number of 180 adult fish of each species were collected per season with the help of local fishermen, then dissected freshly and their parts were stored on ice.
Measurements
Air and water temperatures were measured directly by using mercury thermometer graduated to 100°C. Hydrogen ion concentration (pH) was measured directly by using pH-meter model (Jenway 3150) after calibration with buffer solution. Salinity of water was determined by using salino-meter (Beckman; model RSAS) after calibration. Dissolved oxygen, biological oxygen demand, nitrite, nitrate concentrations were determined according to (APHA, 1995). Concentrations of heavy metals in water, sediments and fish were measured using inductively coupled plasma optical emission spectrophotometer (model 3400 DV, Perkin Elmer, Shelton, USA) according to standard methods of (APHA, 1995). Statistically, results were expressed in tables as mean ± S.D. Data were analyzed by using correlation coefficient for environmental factors and the interaction between the concentration of heavy metals in both water, sediment and target organs according to Bailey (1981).
Fig. 1. Map of Lake Qarun showing the sampling location.
RESULTS AND DISCUSSION
Physicochemical parameters of lake water
Table (1) shows seasonal variation of many physicochemical parameters obtained from the six sites of the lake during the four studied seasons. Air and water temperature was measured in the field and showed significant differences among seasons. They increased during summer, while winter sustained the lowest values at most sites. Air and water temperature ranged between 24 - 36, 18 - 33°C, respectively. These values are in the neighborhood of those obtained previously (Afifi, 2015 and Ragab, 2017). Afify et al. (2019) reported that there is no clear thermal stratified recorded in the lake due to shallowness of the lake (̴ 4 m depth is average) and it is considered being homoeothermic in nature. Changes in water temperature may ulter or inhibit normal growth and development of certain organisms including fishes (Salem, 2006).
Lake water showed moderately an alkaline character with pH values ranging between 8.15 - 8.95 which is in the neighborhood of that obtained by Khalilet al. (2017) and in the range of permissible limits (WHO, 1993). Lake water salinity were 35.05, 46.35‰ for the minimum and maximum value, respectively. Abdel Satar et al. 2010 reported that salinity in 1953 was 21.94%. this value was fluctuated from increase and decrease thereafter depending on the rate of evaporation, amount of drained waters and consumption of lake salts by Egyptian company of salts and minerals (EMISAL). The values of lake water salinity listed in Table (1) are approximately the same as obtained lay Ragab (2017). Thus, Haroon et al. (2018) cited that lake Qarun is considered saline water.
Dissolved oxygen (DO) was found to be fluctuated and ranged between 7.65 and 13.68 mg/L which is in the range of permissible limits (WHO, 1993). However, the range of Do obtained by Shaaban et al. (2016) and Khalil et al. (2017) were less than that listed in Table (1) Adequate dissolved O2 is vital for the survival of aquatic organisms and is therefore an important variable in the assessment and monitoring of water quality. The relatively low concentration of DO recorded could be attributed to the fall in water temperature, phytoplankton blooming and exhaustion of DO for oxidation of huge amounts of organic matter discharged into the lake (Tayel et al., 2013). The results for BOD (which is the amount of DO required to degrade certain amount of organic matter present in water) were ranged from 3.85 - 11.1 mg/L. which is in the neighborhood of that obtained by Khalil et al. (2017). The high concentration of BOD may be due to the high load of wastes discharged into the lake (Saad et al., 2011).
The obtained values of nitrite ranged between 6.90-30.46 µg/L which are above the permissible limits many times. Approximate value of nitrite was obtained by Sadrin et al. (2016). Nitrite is considered the major pollutant threaten the health of aquatic organisms and its high level may be attributed to the decomposition of organic matter present in waste water by nitrosomonas bacteria which oxidize ammonia to nitrite (Saad et al., 2011). Nitrate concentration fluctuated within the range of 186.80 to 584.50 µg/L and these values are higher than the corresponding values of nitrite due to fast conversion of NO2 to NO3 by nitrifying bacteria (Abdel Satar et al., 2010). Nitrate is relatively non-toxic to fish and its level is below the permissible limit. The low values in nitrate concentration might be due to uptake of nitrate by phytoplankton and its reduction by denitrifying bacteria and biological denitrification (Abdo, 2002). Statistical analysis indicated a strong positive correlation between water and air temperatures, pH with air and water temperatures, Salinity with air & water temperatures as well as pH value. Also, positive correlation between BOD with DO (Table, 2).
Table 1. Seasonal variations of many physicochemical parameters (Mean ± S.D.) of Lake Qarun water at different sectors, during the period from autumn, 2015 to summer, 2016.
Sectors
Parameters
Seasons
Air Temp. (°C)
Water Temp. (°C)
pH
Salinity (‰)
DO (mg/L)
BOD (mg/L)
NO2 (µg/L)
NO3
(µg/L)
Eastern Sector
Autumn
25.75±2.07
23.45±1.40
8.15±0.29
35.75±1.16
8.05±1.51
4.20±1.22
19.69±2.67
377.50±88.77
Winter
24.75±1.37
18.80±1.42
8.15±0.43
36.80±1.16
7.65±1.21
3.95±1.45
15.99±2.99
210.10±66.60
Spring
29.35±1.48
26.00±1.44
8.28±0.29
39.40±1.20
7.95±1.24
3.85±1.22
20.20±2.56
186.80±35.66
Summer
32.75±1.13
30.05±1.72
8.76±0.50
41.70±1.05
7.92±1.35
7.25±1.33
6.90±3.10
406.00±69.39
Middle Sector
Autumn
27.00±1.59
25.10±1.77
8.20±0.50
35.05±1.46
8.36±1.24
4.53±1.25
30.07±2.99
488.00±90.04
Winter
26.50±1.08
19.75±1.40
8.25±0.29
36.85±1.16
11.00±1.41
6.75±1.12
23.06±3.05
394.10±72.22
Spring
29.20±1.78
27.20±1.54
8.60±0.155
40.80±1.13
10.82±1.19
4.50±1.14
18.51±2.66
347.45±55.87
Summer
35.00±1.21
31.80±1.61
8.85±0.28
42.45±1.54
9.06±1.37
6.92±1.10
8.75±3.00
516.50±80.51
Western Sector
Autumn
29.50±1.44
27.40±1.38
8.50±0.55
39.95±1.16
13.68±1.37
8.98±1.13
30.46±2.67
506.00±97.23
Winter
26.80±1.29
23.05±1.77
8.40±0.50
37.85±1.13
11.70±1.21
7.00±1.22
14.81±2.99
316.45±63.54
Spring
30.00±1.92
28.25±1.38
8.75±0.29
41.40±1.51
10.90±1.67
5.65±1.15
11.78±2.99
319.65±45.78
Summer
36.35±1.49
33.70±1.45
8.95±0.16
46.35±1.36
10.48±1.24
11.10±1.11
10.64±3.17
584.50±77.98
Table 2. Correlation coefficient of the environmental factors in the water of Lake Qarun.
E. F.
Air Temp.
Water Temp.
pH
Salinity
DO
BOD
NO2
NO3
Air Temp.
1
Water Temp.
0.93
1
pH
0.88
0.86
1
Salinity
0.53
0.55
0.65
1
DO
0.11
0.15
0.31
0.39
1
BOD
0.45
0.43
0.48
0.25
0.66
1
NO2
-0.41
-0.34
-0.53
-0.33
0.04
-0.24
1
NO3
0.44
0.45
0.35
-0.14
-0.08
0.12
0.25
1
Heavy metals
Among the myriad pollutants released into aquatic eco-systems, heavy metals have received considerable attention due to their toxicity, long-term persistence, bioaccumulation and biomagnification at various trophic levels (Ololade et al., 2008).
Metals in Lake Qarun water occur in particulate or soluble form. Soluble species include labile and non-labile fractions. The labile metal compounds are the most dangerous to fish.
The presence of metals in the lake may be due to surplus discharges from agriculture drainage, sewage and various industrial effluents released into the lake, beside diverse natural processes such as erosion and weathering. However, anthropogenic activities remain the main cause of metal existence in lake water.
Seasonal variations of many heavy metals concentrations in water and sediment of Lake Qarun during the period from Autumn 2015 to Summer, 2016 are presented in Table (3).
Metals concentrations in lake water and sediments followed an abundance of Fe > Mn ≅ Zn > cu > Cd. Cd and Cu concentrations in lake water are below the permissible limits, while Fe, Mn and Zn concentrations are above the permissible limits (U. S. EPA., 2006).
Table (3) indicate that seasonal and regional variations affected the distribution of heavy metals in lake water and sediments. Generally, eastern sector showed an increased values of heavy metals (especially Mn and Zn concentrations) than other sectors. Similar findings were recorded by Ali and Fishar (2005) who reported that Fe & Mn are observed onto the surface of suspended particles. Therefore, their concentrations increased in the east lake side where the organic matter are more drained from El-Batts drain. Previous studies (Abdel Satar et al., 2010 and Abou El-Gheit et al., 2012) have confirmed the existence of lofty heavy metal pollutions in Lake Qarun water, however, the level of many metals in the current study exceeded the earlier reports indicating recent and increasing pollution events in the lake. Table (4) shows the correlation coefficient between some heavy metals in water and sediment of the lake. It is clear that, there are strong positive correlation between the concentration of iron and copper in the lake water, in addition to the same trend between the concentration of manganese in the water and cadmium, iron in the sediment. Furthermore, a strong positive correlation was showed between the concentration of zinc in the water and all the measured metals in the sediment, plus the concentration of each metal in the sediment with other metals.
Table (5) shows the concentration of heavy metals in different organs of the three studied fish species. Regardless the fish species, the lower concentrations of metals were recorded in fish muscles, while the higher values were in the liver. These findings are in agreement with those obtained previously (Mohamed and Gad 2008; Ibrahim and Ramzy 2013; Omar et al., 2013). High concentration of metals in the liver are related to its detoxification, transformation and storage of toxic materials. Furthermore, metals are bound in liver to specific polypeptides, i.e., metallothioneins (Jezierska 2001). Data listed in Table (5) indicate that fish liver and kidney contained considerable amounts of heavy metals, so it is advisable to throw down the fish viscera before human consumption. The lowest bioaccumulated of heavy metals in muscles may be correlated with low fat-content and little blood supply to the muscular tissue. Statistically, Table (6) indicates a positive correlation between the concentration of Cd in the sediment and it's concentration in the gills of S. solea. For M. cephalus there are strong positive correlations between Cu & Zn in the sediment with their concentrations in the gills. Same trend was found between Fe & Mn concentrations in the sediment and their concentration in the kidney of the same sp. There for, data listed in Table 5 & 6 indicate that Mugil sp. Seemed to be more contaminated with metals than Tilapia and Soliea sp. Ali and Fishar (2005) reported that the concentrations of trace metals in fish samples indicated that Solea sp. seemed to be more contaminated than other fish species followed by Mugil sp. and Tilapia sp.
The difference in the pattern of metals distribution in the three studied fish species might be a result of their difference in many factors such as, feeding habitats, habitats, ecological needs, metabolism and physiology (Arellano et al., 1999).
Data listed in Tables 3 and 5 indicate that concentrations of metals in sediments and fishes are more than their corresponding concentrations in water. For example, Zn concentrations in water, sediments and Tilapia fishes are 250 µg/L, 44.60 µg/g and 57.72 µg/g, respectively, which means that Zn concentrations in sediments and in Tilapia fish is about 178 and 230 times more than that found in water.
Heavy metals when discharged into water can enter the food chain, bioaccumulated in fish tissue and hence become threat to man.
Ravera et al., 2003 postulated that pollutants concentrations in the organism are the result of the past as well as the recent pollution level of the environment in which the organism lives, while the pollutants concentrations in the water only indicate the situation at the time of sampling.
CONCLUSIONS
From the above findings, it is clear that, Lake Qarun is suffering from various pollution types which leads to affect water and aquatic organisms in the lake, furthermore, some of studied metals exceed the permissible limits with the great dangerous impact on fishes and human health. Distribution of heavy metals in the organs of studied fish species might be a result of many factors such as, feeding habitats, metabolism and physiology. Gills act as the target organ for cadmium and manganese, while copper, iron and zinc prefers accumulate in the liver than other organs. It is recommended that, water quality of the lake must be protected and improved as soon as possible. The following measured may be suggested and taken into consideration. First, a prior treatment for industrial wastewater must be enforced contentiously and domestic sewage must be treated before discharging. Second, the agriculture waste must be managed to reduce the pollutions in the lake.
Table 3. Seasonal variations of some heavy metals concentrations in the water and sediment of Lake Qarun, during the period from autumn, 2015 to summer, 2016.
Sectors
Eastern Sector
Middle Sector
Western Sector
Seasons
Autumn
Winter
Spring
Summer
average
Autumn
Winter
Spring
Summer
average
Autumn
Winter
Spring
Summer
average
Water,
μg/L
Cd
0.88
±
0.19
0.88
±
0.13
0.92
±
0.23
0.81
±
0.15
0.87
±
0.17
0.84
±
0.13
0.74
±
0.13
0.92
±
0.23
0.94
±
0.20
0.86
±
0.17
0.78
±
0.13
0.68
±
0.13
0.78
±
0.12
1.05
±
0.29
0.82
±
0.17
Cu
64.20
±
5.05
69.70
±
6.26
56.50
±
8.14
43.60
±
3.77
58.50
±
5.80
74.05
±
7.66
51.90
±
4.35
54.90
±
5.50
57.50
±
6.14
59.60
±
5.91
55.90
±
5.58
41.60
±
4.67
36.80
±
3.16
53.10
±
6.05
46.80
±
4.86
Fe
639.00
±
109.00
312.00
±
40.90
391.00
±
37.40
261.00
±
19.80
401.00
±
51.70
700.00
±
90.40
418.00
±
57.10
276.90
±
22.00
346.00
±
42.20
435.00
±
53.00
280.00
±
31.10
390.00
±
26.90
295.00
±
14.50
308.00
±
26.40
318.00
±
24.70
Mn
311.00
±
24.30
262.00
±
15.60
182.00
±
21.60
254.00
±
10.60
252.00
±
18.00
181.00
±
14.10
159.00
±
12.20
109.00
±
8.73
388.00
±
21.00
210.00
±
14.00
200.00
±
19.70
245.00
±
50.10
236.00
±
14.10
364.00
±
52.40
261.00
±
34.10
Zn
261.00
±
7.13
316.00
±
16.30
340.00
±
12.10
369.00
±
13.40
321.00
±
12.20
169.60
±
13.00
321.00
±
18.80
127.00
±
8.16
301.00
±
14.60
230.00
±
13.60
205.00
±
16.80
147.00
±
10.10
186.00
±
12.70
258.00
±
15.70
199.00
±
13.80
Sediments,
μg/g
dry wt
Cd
1.28
±
0.24
1.57
±
0.15
1.21
±
0.16
1.70
±
0.22
1.44
±
0.19
0.86
±
0.07
0.58
±
0.03
0.58
±
0.08
1.57
±
0.37
0.90
±
0.13
0.94
±
0.08
0.77
±
0.12
1.31
±
0.17
0.79
±
0.14
0.95
±
0.12
Cu
21.40
±
2.68
18.70
±
2.67
20.00
±
3.09
23.54
±
4.03
20.90
±
3.12
9.44
±
1.95
6.99
±
1.14
6.52
±
1.05
19.50
±
3.16
10.60
±
1.82
10.10
±
2.15
5.72
±
1.09
9.06
±
1.59
8.53
±
1.23
8.36
±
1.51
Fe
3634.00
±
60.00
3918.00
±
67.90
3555.00
±
73.00
4053.00
±
104.00
3700
±
76.00
3214.00
±
58.00
2937.00
±
35.00
2930.00
±
99.00
3915.00
±
80.00
3249.00
±
66.00
3297.00
±
80.00
3119.00
±
57.00
3664.00
±
83.00
3142.00
±
74.00
3305.00
±
73.00
Mn
511.00
±
104.00
425.00
±
66.30
447.20
±
46.00
453.00
±
32.80
459.00
±
62.20
279.00
±
56.20
226.00
±
25.20
234.00
±
10.20
365.00
±
15.30
276.00
±
26.70
294.00
±
19.00
187.00
±
12.60
202.00
±
11.90
238.00
±
16.10
230.00
±
14.90
Zn
53.90
±
1.96
76.50
±
3.52
70.30
±
4.53
53.30
±
3.35
63.50
±
3.34
44.40
±
3.63
19.80
±
1.44
27.30
±
1.68
44.70
±
4.40
34.00
±
2.79
31.10
±
2.16
28.10
±
2.39
51.10
±
2.72
35.20
±
2.45
36.40
±
2.43
Note: Overall mean of Zn conc. in lake water = (321+230+199)/3 = 250 μg/L ≅ 0.25 μg/g; Overall mean of Zn conc. in lake sediment = (63.5+34.0+36.4)/3 = 44.6 μg/g
Table 4. Correlation coefficient between some heavy metals in the water and sediment of Lake Qarun.
Heavy metals
Water
Sediments
Cd
Cu
Fe
Mn
Zn
Cd
Cu
Fe
Mn
Zn
Water
Cd
1
Cu
0.40
1
Fe
-0.04
0.60
1
Mn
0.41
-0.03
-0.04
1
Zn
0.23
0.12
-0.11
0.31
1
Sediments
Cd
0.15
0.05
-0.14
0.50
0.63
1
Cu
0.30
0.27
0.07
0.39
0.77
0.87
1
Fe
0.14
0.05
-0.14
0.50
0.63
0.99
0.87
1
Mn
0.31
0.43
0.21
0.26
0.71
0.74
0.96
0.74
1
Zn
0.29
0.32
0.07
0.23
0.55
0.80
0.79
0.80
0.77
1
Table 5. Seasonal variations of some heavy metals concentrations (μg/g wet wt.) in the target organs of T. zillii, S. solea and M. cephalus collected from Lake Qarun during the period from autumn, 2015 to summer, 2016.
Metals
Fish
T. zillii
S. solea
M. cephalus
Seasons
Gills
Kidney
Liver
Muscles
Average
Gills
Kidney
Liver
Muscles
Average
Gills
Kidney
Liver
Muscles
Average
Cd
Autumn
0.210±0.016
0.130±0.008
0.100±0.011
0.060±0.007
0.125±0.011
0.190±0.004
0.080±0.004
0.110±0.003
0.060±0.013
0.110±0.006
0.130±0.001
0.080±0.002
0.090±0.001
0.050±0.013
0.088±0.004
Winter
0.130±0.003
0.100±0.008
0.110±0.013
0.090±0.016
0.108±0.010
0.190±0.016
0.180±0.019
0.130±0.002
0.120±0.019
0.155±0.014
0.160±0.002
0.090±0.016
0.150±0.013
0.060±0.002
0.115±0.008
Spring
0.300±0.016
0.300±0.010
0.400±0.019
0.260±0.011
0.315±0.014
0.160±0.006
0.150±0.009
0.180±0.006
0.140±0.003
0.158±0.006
0.200±0.007
0.110±0.030
0.180±0.016
0.100±0.013
0.148±0.017
Summer
0.130±0.009
0.120±0.003
0.150±0.008
0.110±0.017
0.128±0.009
0.100±0.007
0.180±0.011
0.090±0.004
0.070±0.004
0.110±0.007
0.150±0.002
0.080±0.009
0.140±0.006
0.060±0.004
0.108±0.005
Average
0.193±0.010
0.163±0.007
0.190±0.013
0.130±0.013
0.169±0.011
0.160±0.008
0.148±0.011
0.128±0.004
0.098±0.009
0.133±0.008
0.160±0.003
0.090±0.014
0.140±0.009
0.068±0.008
0.114±0.009
Cu
Autumn
4.600±0.380
5.640±0.470
8.200±0.680
3.010±0.250
5.363±0.445
4.400±0.360
5.450±0.450
9.510±0.790
3.390±0.280
5.688±0.478
7.210±0.590
5.810±0.480
17.67±1.460
3.950±0.330
8.660±0.715
Winter
5.060±0.420
6.680±0.550
17.01±1.410
3.180±0.260
7.983±0.660
5.920±0.480
7.340±0.600
13.44±1.110
3.760±0.310
7.615±0.625
5.160±0.430
7.670±0.630
28.79±2.380
4.860±0.400
11.62±0.960
Spring
4.860±0.400
6.090±0.500
8.850±0.730
3.270±0.270
5.768±0.475
6.240±0.520
7.830±0.650
18.69±1.540
4.030±0.330
9.198±0.760
6.530±0.540
8.960±0.740
25.32±2.090
3.340±0.280
11.01±0.913
Summer
5.710±0.470
5.150±0.430
10.46±0.870
3.480±0.290
6.200±0.515
4.030±0.330
3.980±0.320
9.880±0.810
4.220±0.340
5.528±0.450
5.737±0.470
7.050±0.580
32.25±2.660
4.730±0.390
12.44±1.030
Average
5.058±0.420
5.890±0.488
11.13±0.923
3.235±0.268
6.328±0.523
5.148±0.423
6.150±0.505
12.88±1.063
3.850±0.315
7.007±0.576
6.159±0.505
7.373±0.608
26.01±2.150
4.220±0.350
10.94±0.903
Fe
Autumn
382.1±31.60
173.3±14.31
204.8±16.92
113.3±9.360
218.4±18.04
120.4±9.940
183.5±15.16
232.8±19.23
70.25±5.800
151.7±12.53
361.7±29.89
256.7±21.21
444.5±36.73
109.4±9.030
293.1±24.22
Winter
445.5±36.82
215.5±17.81
478.6±39.54
91.27±7.540
307.7±25.43
106.0±8.750
144.5±11.92
215.0±17.77
77.75±6.420
135.8±11.22
213.9±17.68
179.0±14.79
350.0±28.92
109.5±9.050
213.1±17.61
Spring
317.6±26.24
207.4±17.14
261.8±21.63
145.1±11.99
233.0±19.25
196.2±16.22
267.1±22.07
272.9±22.55
87.57±7.240
205.9±17.02
247.5±20.45
185.6±15.33
513.4±42.42
103.4±8.530
262.5±21.68
Summer
354.0±29.26
171.2±14.15
305.3±25.23
131.5±10.86
240.5±19.88
114.8±9.490
180.2±14.88
243.1±20.08
76.27±6.300
153.6±12.69
345.4±28.55
141.1±11.65
346.5±28.63
118.4±9.780
237.8±19.65
Average
374.8±30.90
191.8±15.80
312.6±25.83
120.3±9.930
249.9±20.65
134.4±11.10
193.7±16.00
240.9±19.90
77.96±6.440
161.8±13.36
292.2±24.10
190.6±15.75
413.6±34.20
110.1±9.100
251.6±20.79
Mn
Autumn
15.25±1.160
5.530±0.440
15.85±1.210
2.490±0.180
9.780±0.748
10.36±0.840
2.860±0.290
3.330±0.250
2.220±0.160
4.693±0.385
31.17±2.380
3.350±0.250
5.170±0.390
2.710±0.200
10.60±0.805
Winter
27.27±2.080
5.280±0.400
14.76±1.130
2.740±0.210
12.51±0.955
18.70±1.430
3.210±0.250
3.460±0.260
2.050±0.150
6.855±0.523
15.53±1.190
6.360±0.490
5.050±0.380
2.720±0.210
7.415±0.568
Spring
13.20±1.010
6.050±0.460
10.53±0.800
2.850±0.220
8.158±0.623
20.15±1.540
2.610±0.200
4.590±0.350
2.490±0.190
7.460±0.570
17.96±1.370
4.310±0.330
5.020±0.380
3.670±0.280
7.740±0.590
Summer
15.46±1.180
7.870±0.600
16.315±1.25
3.150±0.240
10.70±0.818
15.19±1.150
3.920±0.290
3.510±0.270
2.530±0.190
6.288±0.475
29.75±2.270
6.300±0.480
8.890±0.680
3.690±0.280
12.16±0.928
Average
17.79±1.358
6.183±0.475
14.36±1.098
2.808±0.212
10.29±0.786
16.10±1.240
3.150±0.258
3.723±0.283
2.323±0.173
6.324±0.488
23.60±1.803
5.080±0.388
6.033±0.458
3.198±0.240
9.478±0.723
Zn
Autumn
50.00±4.210
35.46±2.980
86.36±7.260
36.64±3.080
52.11±4.383
55.21±4.640
40.23±3.380
86.95±7.310
24.16±2.030
51.64±4.340
54.83±4.610
26.45±2.220
90.22±7.590
20.45±1.720
47.99±4.035
Winter
28.41±2.390
39.11±3.290
84.11±7.080
19.61±1.650
42.81±3.603
50.52±4.250
45.01±3.780
89.68±7.540
15.17±1.280
50.10±4.213
36.64±3.080
39.25±3.300
53.19±4.470
16.73±1.410
36.45±3.065
Spring
77.09±6.480
63.72±5.360
102.8±8.650
44.46±3.740
72.02±6.058
54.49±4.580
38.55±3.240
65.21±5.480
46.92±3.950
51.29±4.312
41.92±3.520
51.18±4.300
55.21±4.640
18.38±1.540
41.67±3.500
Summer
63.40±5.330
62.04±5.220
90.76±7.630
39.50±3.320
63.93±5.375
72.49±6.100
37.58±3.160
92.18±7.750
34.06±2.860
59.08±4.968
46.52±3.910
48.39±4.070
85.13±7.160
34.72±2.920
53.69±4.515
Average
54.73±4.603
50.08±4.213
91.01±7.655
35.05±2.948
57.72±4.854
58.18±4.893
40.35±3.390
83.51±7.020
30.08±2.530
53.03±4.458
44.98±3.780
41.32±3.473
70.94±5.965
22.57±1.898
44.95±3.779
Table 6. Correlation coefficient of some heavy metals between sediment and three inhabiting fishes at Lake Qarun.
Fish species
T. zillii
S. solea
M. cephalus
Organs Metals
Gills
Kidney
Liver
Muscles
Gills
Kidney
Liver
Muscles
Gills
Kidney
Liver
Muscles
Cd
0.22
-0.17
-0.37
-0.47
0.65
-0.95
-0.14
-0.48
-0.58
-0.34
-0.81
-0.45
Cu
-0.89
0.22
-0.21
-0.98
-0.01
0.19
-0.21
-0.98
0.65
-0.54
-0.94
-0.32
Fe
0.19
-0.34
-0.50
-0.30
-0.17
-0.12
-0.26
-0.63
0.45
0.98
0.32
-0.27
Mn
0.01
-0.75
0.10
-0.98
-0.59
-0.12
-0.28
-0.57
0.21
0.98
-0.70
-0.77
Zn
-0.27
-0.72
-0.49
-0.01
-0.18
0.06
0.31
-0.41
0.83
-0.93
0.68
-0.14
REFRENCES
Abdel-Satar, A.M., Goher, M.E., Sayed, M.F., 2010. Recent environmental changes in water and sediment quality of Lake Qarun, Egypt. J. Fish Aquatic Sci. 5 (2), 56-69.
Abdo, M.H., 2002. Environmental Studies on Rossetta Branch and Some Chemical Application in the Area Extended from EL-Kanater EL-Khyria to Kafr-Zayat City. Ph.D. Thesis, Fac. Sci. Ain Shams Univ., Cairo.
Abou El-Gheit, E.N., Abdo, M.H., Mahmoud, S.A., 2012. Impacts of blooming phenomenon on water quality and fishes in Qarun Lake, Egypt. Int. J. Environ. Sci. Eng. 3, 11- 24.
Afifi, M.A.M., 2015. Ecological and Biological Studies on Pipe Fish in Lake Qarun. M.Sc. Thesis, Zool. Dept., Fac. Sci., Al-Azhar Univ., Cairo, pp. 264.
Afify, D.G., Tahoun, U.M., Abdo, M.H., 2019. water quality index and microbial assessment of Lake Qarun, El-Batts and El-Wadi Drains, Fayoum Province, Egypt. J. Egypt. Aquatic Biol. Fisher. 23 (1), 341-357.
Ali, M.H., Fishar, M.R.A. 2005. Accumulation of trace metals in some benthic invertebrate and fish species relevant to their concentration in water and sediment of Lake Qarun, Egypt. J. Aquatic Res. 31, 289-301.
APHA, 1995. Standard Methods for the Examination of water and wastewater. 19th ed., American Public Health Association, Washington D.C.
Arellano, J.M., Storch, V., Sarasquete, C., 1999. Histological changes and copper accumulation in liver and gills of the senegales sole, Soleasenegalensis. Ecotoxicol. Environ. Saf. 44 (1), 62-72.
Authman, M.M.N., Abbas, H., 2007. Accumulation and distribution of copper and zinc in both water and some vital tissues of two fish species (Tilapia and Mugil cephalus) of Lake Qarun, Fayoum Province, Egypt. Pak. J. Biol. Sci. 10 (13), 2105-2122.
Bailey, N.T., 1981. Statistical Methods in Biology. 2nd ed. Hodder and Stoughton, London, pp. 216.
Haroon, A.M., Hussian, A.M., El-Sayed, S.M., 2018. Deviations in the biochemical structure of some macroalgal species and their relation to the environmental conditions in Qarun Lake, Egypt J. Egypt. Aquatic Res. 44 (1), 15-20.
Hussein H, Amer, R., Gaballah, A., Refaat, Y., Abdel-Wahab, A., 2008. Pollution monitoring for Lake Qarun. Adv. Environ. Biol. 2 (2), 70-80.
Ibrahim, L.A., Ramzy, E.M., 2013. Water quality and its impact on Tilapiazilli (case study) Qarun Lake-Egypt. Int. Water Technol. J. 3 (4), 170-191.
Jezierska, B., Witeska, M., 2001. Metal Toxicity to Fish. University of Podlasie, Siedlce, Poland.
Khalil, M.T., Fishar, M.R., Shakir, S.H., Amer, A.S., Nassif, M.G., 2017. Impact of drainage water on macrobenthos structure of Lake Qaroun, (El-Fayoum, Egypt). Egypt. J. Aquatic. Boil. Fish. 21 (2), 17-32.
Mohamed, F.A.S. Gad, N.S. 2008. Environmental Pollution - Induced biochemical changes in tissues of T. zilli, S. vulagris and M. capito from Lake Qarun, Egypt. Global Vet. 2 (6), 327-336.
Ololade, I.A., Lajide, L., Amoo, I.A., Oladojo, N.A., 2008. Investigation of heavy metals contamination of edible marine seafood. Afr. J. Pure Appl. Chem. 2, 121-131.
Omar, W.A., Zaghloul, K.H., Abdel-Khalek, A.A., Abo-Hegab, S., 2013. Risk assessment and toxic effects of metal pollution in two cultured and wild fish species from highly degraded aquatic habitats. Arch. Environ. Contam. Toxicol. 65, 753-764.
Ragab, A.M.M., 2017. Biological Studies On Some Bony Fishes with Special Reference to Their Feeding Habits and Nutritional Values. M.Sc. Thesis, Zool. Dept, Fac. Sci., Al-Azhar Univ., Cairo.
Ravera, R.C., Beone, G.M., Dantos, M., Lodigiani, P., 2003. Trace element concentrations in fresh water mussels and macrophytes as related to those in their environment. J. Limnol. 62 (1), 61-70.
Saad, S.M., El-Deeb, A.E., Tayel, S.I., Ahmed, N.A.M., 2011. Haematological and histopathological studies on Clarias gariepinus in relation to water quality along Rosetta branch, River Nile, Egypt. J. Exp. Biol. (Zool.), 7 (2), 223-233.
Salem, T.A., 2006. Impact of Water Quality on the Biodiversity among Certain Sectors of the River Nile, Egypt. M.Sc. Ain Shams Univ., Cairo, pp. 189.
Shaaban, M.T., Ibrahim, H.A.H., Hanafi, A.A.M., 2016. Distribution of bacteria in Lake Qarun, AL Fayoum, Egypt (2014 -2015) in relation to its physical and hydrochemical characterization J. Biosci. Appl. Res. 9 (2), 601-615.
Shadrin, N.V., EL-Shabrawy, G.M., Anufriieva, E.V., Goher, M.E., Ragab, E., 2016. Long-term changes of physicochemical parameters and benthos in Lake Qarun (Egypt): Can we make a correct forecast of ecosystem future? Knowl. Manag. Aquat. Ec. 417, 18.
Tayel, S.I., Ibrahim S.A., Mahmoud S.A., 2013. Histopathological and muscle composition studies on Tilapia zillii in relation to water quality of lake Qarun, Egypt. J. Appl. Sci. Res. 9 (6), 3857-3872.
U.S. EPA., 2006. National Recommended Water Quality Criteria; Office of Water, Office of Science and Technology, United States Environmental Protection Agency, Washington, DC, pp. 5.
WHO, 1993. Evaluation of Certain Food Additives and Contaminates (Forty-first report of joint FAO/WHO export committee on food Additives). Technical Report Series NO. 837, World Health Organization, Geneva.