Research Article Volume 3 Issue 2
1Marine Chemistry and Pollution Department, Hodeidah University, Yemen
2Marine Geology Department, Hodeidah University, Yemen
3Earth and Environmental Sciences Department, Sana’a University, Yemen
Correspondence: Majed AM Al-Edresy, Marine Chemistry and Pollution Department, Faculty of Marine Science and Environment, Hodeidah University, Yemen,
Received: April 02, 2019 | Published: April 26, 2019
Citation: Al-Edresy MAM, Wasel SO, Al-Hagibi HA. Ecological risk assessment of heavy metals in coastal sediments between Al-Haymah and Al-Mokha, south red sea, Yemen. Int J Hydro. 2019;3(2):159-173. DOI: 10.15406/ijh.2019.03.00177
The area between Al-Haymah and Al-Mokha on the Red Sea of Yemen is a promising region for future tourism development. It is also characterized by population activities, especially fishing in more than one location and there is a commercial port in Al-Mokha. The aim of the present study is to investigate the distribution of heavy metals (Cu, Cd, Zn, Ni and Pb) and Ecological Risk Assessment to assess the contamination levels of the coastal surface sediments. Distribution and ecological risk for Cu, Cd, Zn, Ni and Pb in sediment samples collected from 11 regions (37 stations) in the coasts of Yemen were studied. The results showed that the most of sediments are sand (83.83%), the content of organic matter was low (1.4%) and rich of calcium carbonate (56.1%), while the heavy metals arranged according to their abundance as follows: Zn>Cu>Ni>Pb>Cd. The contamination factor values for heavy metals arranged according to their dangerous as follows: Cd>Cu>Zn>Pb>Ni, and the potential ecological risk index values for heavy metals, according to the order evaluation of pollution in the various regions as follows: Qataba>Al-Mokha>North Al-Mokha>Al-Ruays>Abu-Zahr>South Al-Mokha>Zahari>Al-Khowkhah>Al-Haymah>Yokhtul>Moushij. The present study shows that the coastal sediments in this part of the Red Sea coast of Yemen are not Polluted by heavy metals (Cu, Zn, Ni and Pb), but it heavily polluted by Cd.
Keywords: red sea, coastal sediment, heavy metal pollution, contamination factor, potential ecological risk index
The sediments are usually the ultimate sink of heavy metals discharged into the aquatic environments, therefore, analysis of heavy metals (and other contaminants) in the sediments offers a more convenient and more accurate means of detecting and assessing the degree of pollution.1,2 Sediments serve as the ultimate sink for many contaminants and as a result, they pose the highest risk to the aquatic life as a source of pollution.3 The sediments are the main repository and source of heavy metals in the marine environment and that they play a major role in the transport and storage of potentially hazardous metals.4 In addition, heavy metal concentrations in surface sediments can provide historical information on heavy metal inputs at that location, where surface sediments used as environmental indicators to reflect the current quality of marine systems for many pollutants.5 Sediment acts as a sink for metals and the highest concentrations of toxic heavy metals in marine environment are found in sediments.6?8 Coastal sediments are important hosts for heavy metal pollution and play an important role in determining the fate and effects of a wide variety of contaminants.9 Vertical concentration gradientts of heavy metals in sediment cores can provide temporal information about the perturbation in the aquatic environment.10 The distribution of metals in sediment is very important from the point of view of environmental pollution because sediment concentrates metals from aquatic systems, and represents an appropriate medium to monitor contamination due to sediments are the principal sinks for heavy metals in an aquatic systems.6,7,11
In spite of the fact that metals occur in the ecosystem naturally by geogenic and lithogenic processes, the heavy metals of anthropogenic origin tend to be bioavailable and then toxic pollutants.12 Nijenhuis et al.13 reported that the enrichment of trace elements in marine sediments may, in general, originate from the following sources; super-and subjacent sediments, through diagenesis; suboxic shelf and slope sediments, hydrothermal input; Aeolian input; fluvial runoff; seawater. Under natural condition, the most important inputs of heavy metals to coastal regions are the mechanical weathering of rooks.14 Urban and industrial activities contribute to the introduction of significant amounts of pollutants (among them trace metals) into the marine environment and affect directly the coastal systems where they are quite often deposited.6,7,15 In some places along the Red Sea coast of Yemen heavy minerals are usually common and represent 50% or more of the beach deposits.16 These beach deposits are mainly derived from mountainous regions, which drain from the Yemen highlands to the sea through numerous valleys.8,17-19 The Red Sea environments receive either locally or more widely, a variety of stresses as a result of human activities. The different anthropogenic activities included recreational resorts, urban agglomeration, marine shipping, activities of phosphate industry and fishing ports, as well as limited freshwater and sewage sources.2,20 The present study was conducted in order to monitor, investigate and Ecological Risk Assessment the accumulation of heavy metals (Cu, Cd, Zn, Ni and Pb) in coastal sediments in the intertidal zones between Al-Haymah and Al-Mokha of south Red Sea Coast Yemen.
The methods section includes study areas, sample collection and lab analysis, assessment of potential ecological risk and statistical analysis.
Study area
The study area extends from Al-Haymah to south Al-Mokha along Red Sea and covering a distance of about 90 Km along the shore line, and it lies between Longitude 43º13′ and 43º30′ E and Latitude 13º15′ and 13º55′N, and comprises the areas of Al- Haymah, Qataba, Abu-Zahr, Al-Khowkhah, Moushij, Al-Zahari, Al-Ruays, Yokhtol and Al-Mokha (Figure 1).
Sampling and analytical procedure
Thirty seven surface sediments were collected from beach area (Figure 1).The samples were dried in an oven at about 60ºC, and then each sample placed on white glassed paper and crushed with fingers and was separated into two parts, one for grain size distribution by dry sieving and pipit analysis. The second portion was used for chemical analysis. Ten grams of each prepared subsamples of selected samples were ground using agate mortar, passed through 3ø sieve and kept in dry clean bag waiting for chemical analysis and it comprised, total carbonates, organic matter and concentration of metals.
Sampling and analytical procedure
Thirty seven surface sediments were collected from beach area (Figure 1).The samples were dried in an oven at about 60ºC, and then each sample placed on white glassed paper and crushed with fingers and was separated into two parts, one for grain size distribution by dry sieving and pipit analysis. The second portion was used for chemical analysis. Ten grams of each prepared subsamples of selected samples were ground using agate mortar, passed through 3ø sieve and kept in dry clean bag waiting for chemical analysis and it comprised, total Carbonates, organic matter and total elements. The total carbonate of the samples containing relatively large of carbonate was determined by indirect method according to Vogel.21 Organic matter content in analyzed sediments was determined following the method originally described by Strickland & Parsons,22 which includes a wet oxidation of organic carbon with acidic potassium dichromate and measurement through spectrophotometry. The total elements were determined by the method of total (ΗF) decomposition of sediments described in UNEP/IAEA.23 Where, 2ml of concentrated nitric acid was added to each sample and evaporated to near dryness at 80°C and 6ml of mixed HNO3–HClO4–HF (3:2:1) was added to each sample. After complete digestion, the sample was evaporated to near dryness and 5ml of 0.1NHCl was added to each sample and completed to 25ml in a volumetric flask. The samples were separately analyzed by using Atomic Absorption Spectrophotometer (Perkin-Elmer Model 2380).
Assessment of potential ecological risk
Contamination factor (CF): The Contamination Factor represents the relationship between the concentration of a specific metal and that corresponding to its background level,24,25 it was calculated from the following equation:
CF = concentration of metals in sample/content in a natural reference (shale).
Potential ecological risk (Ei): The Potential Ecological Risk Index was originally introduced by Håkanson24 to assess the degree of metal pollution in sediments according to the toxicity of metals and the response of the environment.
Where,
Ei = Ti CFi
Ei is the monomial potential ecological risk factor,
Ti is the toxic response factor for a given substance, which accounts for the toxic and sensitivity requirement, and the values for Cd, Cu, Pb, Ni, Zn and Cr are 30, 5, 5, 5, 1 and 2, respectively.26,27
CFi is the contamination factor.
Potential ecological risk index (RI): Håkanson24 developed a methodology to assess ecological risks for aquatic pollution control. The methodology is based on the assumption that the sensitivity of the aquatic system depends on its productivity. The potential ecological risk index (RI) was introduced to assess the degree of heavy metal pollution in sediments, according to the toxicity of heavy metals and the response of the environment:
Where, RI is calculated as the sum of all risk factors for heavy metals in sediments,
Statistical analysis
Multivariate statistics have been frequently applied to quantify the contribution of environmental factors to sediment quality parameters.28 In this study, correlation coefficients were calculated to reveal the relationships between sediments and heavy metals. Data were processed with WinRAR statistical software.
In Table 1 the relative distribution of the grain size analysis (gravel, sand and clay), and the percentage distribution of organic substances and calcium carbonate in sediments of the south of Yemen's Red Sea coast (Al-Haymah - Al-Mokha).
Grain size
Grain size is one of the most important factors controlling sediments capacity for concentrating and retaining metals.7,8 It is well known that elements are not homogeneously distributed over the various grain size fractions.29 There is a strong relation between an increase in metal concentration and a decrease in grain size. Fine-grained particles, because of their large specific surface areas, are the main sites for the accumulation and transport of metals.30 Since fine grain are more soluble than coarser ones the bioavailability of metals increase with decreasing the grains that metals are fixed with.30 The results of the granulometric analysis of the surface sediment samples of the south of Yemen's Red Sea coast (Al-Haymah - Al-Mokha) are listed in Table 2. The gravel fraction of the sediment ranged between 0.0 % at stations (8, 9, 10 and 24) in Al- Khowkhah, Al-Ruays and North Al-Mokha regions and 56.16% at station (2) in Al- Haymah region with the overall average of (8.93%), the sand fraction of the sediment ranged between 43.84 % at station (2) in Al-Haymah region and 99.93% at stations (8 and 31) in Al-Khowkhah and North Al-Mokha regions with the overall average of (83.82%) and Mud fraction of the sediment ranged between 0.0% at station (2) in Al-Haymah region and 45.36% at station (23) in Al-Rusys region with the overall average of (6.38%). The mud fraction in the sediment samples represented less than 10% of total sediment except those at stations (10, 19, 20, 21, 23, 24 and 29) where this fraction reached values higher than 10%. Station 23 its mud content was 45.36%. This means that the sediments in the present study area are mainly sandy. In each of the regions study the mud content of the sediments less than 10 % at average except of three regions Al-Ruays, Zahari and Yakhtul (20.35%, 11.88% and 10.71) respectively.
|
Value |
Sediment quality |
Reference |
CF |
CF?1 |
Low Contamination. Moderate Contamination Considerable Contamination |
|
1≤ CF ?3 |
Very high Contamination |
Savvides et al.,25 Pekey et al.,51 |
|
3≤ CF ?6 |
|||
CF ≥6 |
|||
Ei <30 |
Low Risk |
||
Ei |
30 ≤ Ei <50 |
Moderate Risk |
|
50 ≤ Ei <100 |
Considerable Risk |
||
100 ≤ Ei <150 |
Very High Risk |
||
Ei ≥150 |
Disastrous Risk |
Gan et al.,50 |
|
RI |
RI?100 |
Low Risk |
|
100 ≤ RI?150 |
Moderate Risk |
||
150 ≤ RI?200 |
Considerable Risk |
||
200 ≤ RI?300 |
Very High Risk |
||
RI ≥300 |
Disastrous Risk |
Table 1 Classes of Contamination Factor (CF), Degree Contamination (DC), Pollution Load Index (PLI), Potential Ecological Risk (Ei), and Potential Ecological Risk Index (RI)
Regions |
Sts. no |
Grain Size % |
|
OM % |
CaCO3 % |
|
|
|
Gravel |
Sand |
Mud |
|
|
Al-Haymah |
1 |
1.5 |
98.33 |
0.17 |
1.11 |
37.26 |
2 |
56.16 |
43.84 |
0 |
1.17 |
38.76 |
|
Average |
28.83 |
71.09 |
0.09 |
1.14 |
38.01 |
|
Qataba |
3 |
27.5 |
72.45 |
0.05 |
0.91 |
56.38 |
Abu-Zahr |
4 |
26.56 |
67.49 |
5.95 |
1.95 |
27.17 |
5 |
13.21 |
86.7 |
0.09 |
0.98 |
45.22 |
|
6 |
1.1 |
98.73 |
0.17 |
1.16 |
57.58 |
|
7 |
7.88 |
86.2 |
5.92 |
1.12 |
39.56 |
|
Average |
12.19 |
84.78 |
3.03 |
1.3 |
42.38 |
|
Al-Khowkhah |
8 |
0 |
99.93 |
0.07 |
2.72 |
62.92 |
9 |
0 |
91.01 |
8.99 |
0.71 |
32.78 |
|
10 |
0 |
67.43 |
32.57 |
0.59 |
35.58 |
|
11 |
2.42 |
96.88 |
0.7 |
0.57 |
45.34 |
|
12 |
2.42 |
96.88 |
0.7 |
0.7 |
52.66 |
|
13 |
- |
- |
- |
- |
- |
|
14 |
1.07 |
98.67 |
0.26 |
1.13 |
57.82 |
|
Average |
0.99 |
91.8 |
7.22 |
1.07 |
47.85 |
|
Mawshij |
15 |
0.24 |
99.6 |
0.16 |
0.65 |
45.22 |
16 |
39.99 |
57.98 |
2.03 |
0.85 |
40.54 |
|
Average |
20.12 |
78.79 |
1.1 |
0.75 |
42.88 |
|
Zahari |
17 |
1.11 |
98.29 |
0.6 |
0.48 |
48.3 |
18 |
0.23 |
95.89 |
3.88 |
1.3 |
62.4 |
|
19 |
0.05 |
78.85 |
21.1 |
4.58 |
67.23 |
|
20 |
0.25 |
77.82 |
21.94 |
4.16 |
69.6 |
|
Average |
0.41 |
87.71 |
11.88 |
2.63 |
61.88 |
|
Al-Ruays |
21 |
8.62 |
75.71 |
15.67 |
1.29 |
88.64 |
22 |
9.76 |
90.21 |
0.03 |
0.78 |
95.41 |
|
23 |
2.92 |
51.72 |
45.36 |
4.47 |
71.68 |
|
24 |
0 |
62.29 |
37,71 |
1.09 |
38.2 |
|
Average |
5.33 |
69.89 |
20.35 |
1.91 |
73.48 |
|
Yakhtul |
25 |
7.91 |
90.34 |
1.75 |
0.75 |
84.96 |
26 |
22.46 |
74.22 |
3.32 |
1.58 |
91.81 |
|
27 |
0.14 |
91.18 |
8.68 |
0.72 |
58.66 |
|
28 |
0.81 |
92.85 |
6.34 |
1.21 |
52.26 |
|
29 |
0.43 |
66.13 |
33.44 |
2.56 |
61.88 |
|
Average |
6.35 |
82.94 |
10.71 |
1.36 |
69.91 |
|
North Al-MoKha |
30 |
1.81 |
95.24 |
2.95 |
0.57 |
65.68 |
31 |
0 |
99.93 |
0.07 |
0.57 |
40.54 |
|
32 |
1.19 |
98.76 |
0.05 |
0.66 |
53.22 |
|
33 |
10.4 |
89.59 |
0.01 |
1.06 |
55.78 |
|
Average |
3.35 |
95.88 |
0.77 |
0.72 |
53.81 |
|
Al-Mokha |
34 |
17.34 |
82.62 |
0.04 |
1.95 |
52.06 |
35 |
7.55 |
92.32 |
0.13 |
2.14 |
58.52 |
|
Average |
12.45 |
87.47 |
0.09 |
2.05 |
55.29 |
|
South Al-Mokha |
36 |
24.08 |
75.74 |
0.18 |
1.1 |
53.84 |
37 |
24.29 |
75.65 |
0.06 |
1.18 |
74.2 |
|
Average |
24.19 |
75.7 |
0.12 |
1.14 |
64.02 |
|
Min |
(36) |
0 |
43.84 |
0 |
0.48 |
27.17 |
Max |
56.16 |
99.93 |
45.36 |
4.58 |
95.41 |
|
Areaaverage |
8.93 |
83.82 |
6.38 |
1.4 |
56.1 |
Table 2 The relative distribution of the grain size analysis, and the percentage distribution of organic matter (OM) and calcium carbonate (CaCO3) in sediments at the south of Yemen's Red Sea coast (Al-Haymah - Al-Mokha)
Organic matter (OM)
Organic matter plays the key role as a heavy metal carrier.8,12 Dissolved organic matter can influences on the distribution of metals as follows: Dissolved organic substances are capable of (1) complexing metals and increasing metal solubility; (2) altering the distribution between oxidized and reduced forms of metals; (3) alleviating metals toxicity and altering metal availability to aquatic life; (4) influencing the extent to which metals are adsorbed on suspended matter, and (5) affecting the stability of metal-containing colloids.7,12 Heavy metals in sediment usually are affected by TOM content.8,12,18,31 On the other hand the trace metal variability in the sediments has been found to be related to grain size, mineralogy, and organic carbon.8 The results of the percentage organic matter (OM) of the surface sediment samples of the south of Yemen's Red Sea coast (Al-Haymah–Al-Mokha) are listed in Table 2. The percentage distribution of organic matter of the sediment ranged between 0.48% at station (17) in Zahari region and 4.58 % at station (19) Zahari region also with the overall average of (1.4%). The organic matter in the sediment samples represented less than 2% of total sediment except those at stations (8, 19, 20, 23, 29 and 35) where this fraction reached values higher than 2%. Station 19 and 20 at Zahari its organic matter content was 4.58% and 4.16% also station (23) at Al-Ruays its organic matter content was 4.47%. The high organic matter content in Zahari and AL-Ruays area is attributed to the high seagrasses cover in the tidal flat zone. The OM % in the present study areas is lower than those of reported by Sagheer,32 in North of Al-Hudaydah and Al-Luhayyah Red Sea coast of Yemen, reflecting that their sediments were mostly closer to the coastline and its much lower than those reported by Basaham, in the polluted Al-Arbaeen Lagoon,6 in Red Sea coast of Jeddah. The OM % in the present study areas is larger than those of Heba et al.,17 Al-Edresy,7 and Al-Hagibi.8
Calcium carbonate (CaCO3)
The results of the calcium carbonate (CaCo3 %) of the surface sediment samples of the south of Yemen's Red Sea coast (Al-Haymah – Al-Mokha) are listed in Table 2. The percentage distribution of CaCo3 of the sediment ranged between 27.17 % at station (4) in Abu-Zahar region and 95.41% at station (22) Al-Ruays region with the overall average of (56.1%). The calcium carbonate content was very high at Al-Ruays region with average value of 73.48%, in general the CaCo3% in the present study was high in all regions. The high values of calcium carbonate content can be attributed to the accumulation of large amounts of shell fragments blanketing the bottom sediment.33 The CaCo3% in the current study areas is larger than those of Sagheer,32 and Al- Edresy,7 and the CaCO3 % in present study SE-Red Sea remarkably is slightly higher than that found by Mahmoud,34 in the NW Hurgada Red Sea coast, Egypt.
Heavy metals
Heavy metal concentrations in coastal environment have been rapidly increased by human activities because the coastal environments are subjected to metal contamination throughout various inputs such as natural, industrial and urban sources. Metals released into coastal environments rapidly bind to particulate and sink to the sediments; thus metals accumulate in sediments. However, sediments in coastal environment are a sink as well as possible delayed source for heavy metals into the aquatic phase due to desorption and remobilization with changing physiochemical conditions.35 The majority of suspended particles in seawater have a strong affinity for binding to metals, and metals in the formation of complexes with suspended particles are subsequently precipitated into bottom sediments, causing metal accumulation in sediments.36 Sediments can become a source of metals, releasing them into the overlying water column.7 Monitoring of metal levels in sediments are useful indicators of anthropogenic inputs to evaluate metal contamination and to predict influence on marine ecosystem. However, in the study area has no industrial activity. There are some human activities such as fisheries, which are located in all regions of study and different levels regarded as Al-Khowkhah and Al-Mokha of the largest fisheries in the study area and there is also a commercial port city of Al-Mokha. Al-Mokha larger study areas and most active population followed Al-Khowkhah region.
Distribution of Heavy metals (Cu, Cd, Zn, Ni and Pb) in the study area, average in regions and the general average of the study area are illustrated in Table 3, and the percentage of the spatial distribution of heavy metal (Cu, Cd, Zn, Ni and Pb) in every region of the study areas are illustrated in Figure 2. Table (a) showed that all the metals that have been studied record values were lower than the Background values (Shale), Except cadmium record high in value in most stations, Copper record high values in four stations (8, 21, 34 and 37) in Al-Khowkhah, Al-Ruays, Al-Mokha and South Al-Mokha respectively and Lead record high values in three stations (10, 14) in Al-Khowkhah region and station (27) in Yakhtul. The heavy metals in the sediments of the present study areas arranged according to their abundance as follows: Zn>Cu>Ni>Pb>Cd.
Figure 2 The percentage distribution of Heavy Metals in Coastal Sediments from the south of Yemen's Red Sea coast (Al-Haymah – Al-Mokha).
Copper (Cu)
Copper is widely distributed in nature in the Free State and in sulfides, arsenide, chlorides and carbonates.37 The natural input of Cu to the marine environment from erosion of mineralized rocks on earth is estimated to be 325,000 t/y. Inputs of Cu due to human activities are usually localized and very widely exceeded 75million t/y. These are often produced for use in electrical equipment, in alloys, as a chemical catalyst, in antifouling paint for ships hulls as an algaecide and as a wood preservative. Several of these uses inevitably result in Cu being transferred to the environment.38 Copper is an essential trace element required by most aquatic organisms but its high concentration is toxic.39 Of the Table 3, concentrations ranged from copper in the sediments of the study areas between 1.6µg/g sediments in the station (21), in an area disturbed and 65.18µg/g in the station (34), in each of Mokha, with the overall average of 17.34µg/g. The maximum value of (65.18µg/g) of copper. This could be due to various commercial activities, especially in the port of Mokha including corrosive paints anti-fouling of ships. These concentrations of copper higher than the concentrations of copper and has been in the creek and all its port Hodidah 2.1µg/g, the average whole area of 1.7µg/g, recorded by Al- Edresy,7 The present values of Cu in the sediments are higher than in those reported by each of Heba and Al-Mudaffer40 Al-Edresy,1 and Heba et al.,17 The percentage distribution of copper contents Figure 2 showed that the Cu contents are arranged according to their abundance as follows: Al-Mokha>South Mokha; Al-Ruays>Al-Haymah; Moushij>Al-Khowkhah>Zahari>North Mokha>Yokhtul>Qataba>Abu-Zahr. The high copper content in the samples collected from the area and Al-Mokha and South Mokha; Al-Ruays can be attributed to the maintenance of fishing and tourist boats in the fishing port and commercial activity of the port of Mokha.
Regions |
Stations no |
Cu |
Cd |
Zn |
Ni |
Pb |
Al-Haymah |
1 |
10.3 |
0.5 |
36 |
11.17 |
1.6 |
2 |
27.93 |
0.33 |
10.82 |
0.33 |
13 |
|
Average |
19.12 |
0.42 |
23.41 |
5.75 |
7.3 |
|
Qataba |
3 |
9.31 |
1.67 |
36.8 |
5.33 |
5.33 |
Abu-Zahr |
4 |
9.31 |
0.67 |
30.3 |
0.33 |
0.33 |
5 |
7.3 |
1 |
34.8 |
14.3 |
3 |
|
6 |
9.5 |
0.83 |
35.7 |
8.17 |
9.5 |
|
7 |
9.31 |
1 |
56.28 |
4 |
4.33 |
|
Average |
8.86 |
0.94 |
39.27 |
6.7 |
4.29 |
|
Al-Khowkhah |
8 |
55.78 |
0.33 |
34.63 |
1 |
2 |
9 |
15.3 |
1.33 |
64.3 |
18.83 |
3.7 |
|
10 |
18.7 |
1.5 |
46 |
39.33 |
23.3 |
|
11 |
3.3 |
0.17 |
46.3 |
38.5 |
2.33 |
|
12 |
9.3 |
0.33 |
47.62 |
2.67 |
1.67 |
|
13 |
18.62 |
ND |
21.65 |
5.33 |
2.27 |
|
14 |
3.3 |
0.65 |
27.6 |
29.17 |
26.5 |
|
Average |
17.76 |
0.62 |
41.16 |
19.26 |
8.82 |
|
Mawshij |
15 |
27.82 |
0.17 |
49.78 |
5.33 |
5 |
16 |
13 |
0.33 |
52.6 |
4.32 |
4.62 |
|
Average |
20.41 |
0.25 |
51.19 |
4.83 |
4.81 |
|
Zahari |
17 |
18.62 |
0.67 |
23.81 |
0.33 |
3 |
18 |
9.31 |
1 |
2.61 |
1 |
2.67 |
|
19 |
27.95 |
0.33 |
43.29 |
2.33 |
2.33 |
|
20 |
5 |
0.66 |
16 |
15.83 |
13.03 |
|
Average |
15.22 |
0.67 |
21.43 |
4.87 |
5.26 |
|
Al-Ruays |
21 |
55.77 |
0.5 |
43.29 |
2.33 |
3.67 |
22 |
6 |
0.5 |
20.7 |
6.67 |
2.67 |
|
23 |
34.6 |
1.67 |
32,50 |
4.67 |
6.35 |
|
24 |
2.67 |
1.01 |
26.3 |
ND |
0.15 |
|
Average |
24.76 |
0.92 |
30.1 |
3.42 |
3.21 |
|
Yakhtul |
25 |
1.6 |
0.83 |
15 |
12 |
1 |
26 |
28.39 |
ND |
58.44 |
2.67 |
2.67 |
|
27 |
11 |
0.5 |
52.6 |
12.83 |
30.31 |
|
28 |
12 |
0.32 |
45.8 |
7.34 |
14.72 |
|
29 |
3.3 |
0.33 |
27.2 |
21.67 |
10.38 |
|
Average |
11.26 |
0.4 |
39.81 |
11.3 |
11.82 |
|
North Al-Mokha |
30 |
9.3 |
0.17 |
32.6 |
1.96 |
1.33 |
31 |
1.7 |
0.83 |
26.7 |
16.67 |
1.67 |
|
32 |
9.31 |
1.67 |
90.91 |
2.67 |
0.67 |
|
33 |
37.24 |
2 |
45.45 |
2 |
1.33 |
|
Average |
14.39 |
1.17 |
48.92 |
5.83 |
1.25 |
|
Al-Mokha |
34 |
65.18 |
1 |
34.63 |
0.67 |
1.67 |
35 |
4.7 |
1.97 |
27.3 |
24 |
13.84 |
|
Average |
34.94 |
1.49 |
30.97 |
12.34 |
7.76 |
|
South Al-Mokha |
36 |
2.3 |
0.68 |
24.6 |
6.67 |
15.3 |
37 |
47.54 |
0.67 |
36.8 |
ND |
2.33 |
|
Average |
24.92 |
0.68 |
30.7 |
3.34 |
8.82 |
|
Min |
(37) |
1.6 |
ND |
2.61 |
ND |
0.15 |
Max |
65.18 |
2 |
90.91 |
39.33 |
30.31 |
|
Areaaverage |
17.34 |
0.76 |
36.81 |
8.98 |
6.47 |
|
Backgroundin shale |
45 |
0.3 |
95 |
68 |
20 |
Table 3 Concentration of heavy metals (µg/g) in Coastal Sediments between Al- Haymah and Al-Mokha, South Red Sea, Yemen
Cadmium (Cd)
Cadmium is most commonly found associated with Zn in carbonate and sulfides ores. Cd is also produced as a by-product in the refining of other metals. Thus human through their production of metals like Cu, Pb and Zn for several centuries were unknowingly polluting the environment with Cd. Cadmium is highly toxic and originates from anthropogenic activities. It was found that more than 90% of cadmium in marine environments is of anthropogenic origin.41 From the Table 3, in the sediments of the present study areas the concentrations of Cd ranged between ND in the sediments of stations (13 and 26) at Al-Khowkhah and Yakhtul regions, and 2.0µg/g of station (33) near the Al-Mokha Harbor in North Al-Mokha region, with general average (0.76µg/g). Record cadmium high values in most study stations (37 stations) comparing with background value (shale) except for stations 11, 13, 15, 26 and 30. Perhaps these high concentrations of cadmium as a result of the wide spread of cadmium and also very many in the industry uses. These values are higher than the values recorded by Al-Edresy,7 in the port of Al-Hodeidah. The present values of Cd in the sediments are higher than in those reported by each of Heba and Al-Mudaffer40 Al- Edresy,1 and Heba et al.,17 The percentage distribution of cadmium contents (Figure 2) showed that the Cd contents are arranged according to their abundance as follows: Qataba>Al-Mokha>North MokhaAbu-Zahr; Al-Ruays>Al-Khowkhah; Zahari; South Mokha>Al-Haymah>Yokhtul>Moushij.
Zinc (Zn)
Zinc occurs in number of minerals Zn blends (ZnS, ZnCO3, Zn2SiO2 and ZnO) and others. Zinc is used extensively in industry; the largest use of Zn is in galvanizing Fe and steel products. Brass is employed in a variety of applications from decorative hardware to plumbing and heat exchange units. Rolled Zn is required for battery production, photo engraving, lithographic printing plates, roofing, zinc oxide is also required for prints and other end-products such as photocopy paper, agricultural products, cosmetic and medical products. Zinc dust is used in the printing and dyeing of textiles, purifying fats and precipitating silver and gold from cyanide solutions.37 From the Table 3, in the sediments of the present study areas the concentrations of Zn ranged between 2.61µg/g in the sediments of station (18) at Zahari region, and 90.91µg/g of station (32) near the Al-Mokha Harbor in North Al-Mokha region, with general average (36.81µg/g). These values are higher than the values recorded by Al-Edresy,7 in the port of Al-Hodeidah. The present values of Zn in the sediments are higher than in those reported by each of Heba and Al-Mudaffer40 and Heba et al.,17 The increase in Zn content occur in beach sediments of the studied areas is due to the influence of terrigenous fragments rich in this elements and principally derived from volcanic rocks. From the Figure 2 the percentage distribution of zinc contents in the sediments of the present study areas showed that the contents are arranged according to their abundance as follows: Moushij>North Mokha>Al-Khowkhah>Abu-Zahr; Yokhtul>Qataba>Al-Ruays; Al-Mokha; South Mokha>Al-Haymah>Zahari.
Nickel (Ni)
Nickel can enter the environment naturally through weathering of minerals and rocks and through anthropogenic sources.42 Nickel is one of the largest trace metal constituents of crude oil,43 it is used extensively in industry and its large uses like Ni-Cd rechargeable battery, and hence its presence in high concentration in marine environments may indicate direct input from oil pollutants. From the Table 3, in the sediments of the present study areas the concentrations of Ni ranged between ND in the sediments of stations (24 and 37) at Al-Ruays and South Al-Mokha regions, and 39.33µg/g of station (10) at Khowkhah region, with general average (8.98µg/g). The present values of Ni in the sediments are lower than and the background value (Shale), and lower than in those reported by each of Heba and Al-Mudaffer40 Heba et al.,17 and Al-Edresy,1,7 The highest content of Ni was recorded at Al- Khowkhah and Al-Mokha regions, which means that, the high nickel concentrations are certainly anthropogenic from the direct human impact from the boats. From the Figure 2 the percentage distribution of nickel contents in the sediments of the present study areas showed that the contents are arranged according to their abundance as follows: Al- Khowkhah>Al-Mokha>Yokhtul>Abu-Zahr>Al-Haymah; North Mokha>Qataba; Moushij; Zahari>Al-Ruays; South Mokha.
Lead (Pb)
Lead is among the most pervasive of pollutants has introduced to the marine environment due to human activities. In local coastal regions, lead pollution may also be present in sewage contamination.44 Anthropogenic outputs of lead to the environment outweigh all natural sources. Pb reaches the aquatic environment through precipitation, fall-out of lead dust and municipal wastewater discharges.45 From the Table 3, in the sediments of this study areas the concentrations of Pb ranged between 0.15µg/g in the sediments of stations (24) at Al-Ruays region, and 30.31µg/g of station (27) at Yakhtul region, with general average (6.47µg/g). The present values of Pb in the sediments are lower than the background value (Shale), except of in three stations (10, 14) in Al-Khowkhah region and station (27) in Yakhtul region. From Figure 2, it was noticed that the percentage distribution of Pb content in Yakhtul, Al-Khowkhah and Al-Mokha sediments is similar to that of Ni, where the Pb content increases as a consequence of the influence of boats and other wastes. The percentage distribution of lead contents (Figure 2) showed that the Pb contents are arranged according to their abundance as follows: Yokhtul>Al-Khowkhah; South Mokha>Al-Mokha>Al- Haymah>Qataba; Zahari>Moushij>Abu-Zahr>Al-Ruays>North Mokha.
Assessment of potential ecological risk
Heavy metals in sediments persist in the environment and can be set up not only to the benthic organisms, but also for aquatic organisms and dangerous because the metals in the sediment can be released in the overlying water. A variety of minerals and basic elements of biology, but they have a negative effect on living organisms if their concentrations exceed certain thresholds. Minerals associated with the sediment can accumulate in the tissues of marine organisms, and it could be possible that adversely affects the rights in all parts of the food chain. Thus, compared with the concentrations of metals contamination factor (CF), potential ecological risk (Ei) and potential ecological risk index (RI) so that we can evaluate the mineral risks to the environment. Minerals in rocks and minerals are harmless and usually only become potentially toxic when dissolved in water.46 A tidal flat plays an important role in the hydrological and ecological processes in the coastal region, which is also ideal for wildlife, fishing and recreation environment.47 Proper assessment of pollution of heavy metals in the sediments of the Red Sea in Yemen is a critical issue to provide successful management of marine ecosystems.
Contamination factor (CF)
The empirical index provides a comparative means for assessing the level of heavy metal pollution.48 The values of contamination factor (CF) for the heavy metals for all samples are presented in Table 4. The results showed that obtained from the contamination factor (CF) calculation for heavy metals (Cu, Cd, Zn, Ni, Pb, Co and Mn) in this study that the contamination factor values for these elements were in the range (0.04–1.45) with general average (0.39) for Cu, (0.00–6.67) with general average (2.53) for Cd, (0.03–0.96) with general average (0.39) for Zn, (0.00–0.58) with general average (0.13) for Ni, (0.01–1.52) with general average (0.32) for Pb, (0.00–0.61) with general average (0.18) for Co and (0.00–1.40) with general average (0.43) for Mn. The contamination factor values for heavy metals in the sediments of the present study areas are arranged according to their dangerous as follows: Cd>Mn>Cu; Zn>Pb>Co>Ni, and the contamination factor values for heavy metals, according to the order the evaluation of pollution in the various regions as follows: (Al-Mokha>South Al-Mokha>Al-Ruays>Moushij>Al-Haymah>Al-Khowkhah>Zahari>North Al-Mokha>Yokhtul>Qataba>Abu-Zahr) for Cu, (Qataba>Al-Mokha>North Al-Mokha>Al- Ruays>Abu-Zahr>South Al-Mokha>Zahari>Al-Khowkhah>Al-Haymah>Yokhtul>Moushij) for Cd, (Moushij>North Al-Mokha>Al-Khowkhah>Abu-Zahr; Yokhtul>Qataba>Al-Ruays; Al-Mokha; South Al-Mokha>Al-Haymah>Zahari) for Zn, (Al- Khowkhah>Al-Mokha>Yokhtul>Abu-Zahr>North Al-Mokha>Al-Haymah; Qataba>Moushij; Zahari>Al-Ruays; South Al-Mokha) for Ni, (Yokhtul>South Al-Mokha>Al-Khowkhah>Al-Mokha>Al-Haymah>Qataba>Zahari>Moushij>Abu-Zahr>Al- Ruays>North Al-Mokha) for Pb, (North Al-Mokha>Abu-Zahr>Al-Haymah; Al-Ruays? Yokhtul>Moushij>Al-Khowkhah>Qataba>Al-Mokha>Zahari>South Al-Mokha) for Co and (Moushij>Abu-Zahr>Al-Khowkhah>Al-Mokha>Qataba>Yokhtul>Al- Ruays>North Al-Mokha>Zahari>Al-Haymah>South Al-Mokha) for Mn.
The classification of contamination factor for all metals except the Cd low classification is located between a Low Contamination and Moderate Contamination in terms both of Zn, Ni and Co with classification Low Contamination and Cu, Pb and Mn with classification Moderate Contamination while Cd with classification from Low Contamination to Very high Contamination. The analysis indicates that the sediments are polluted with Cd and act as a sink for heavy metals contributed by a multitude of anthropogenic sources.49
Potential ecological risk (Ei)
The values of potential ecological risk (Ei) for the heavy metals for all samples are presented in Table 5. The results showed that obtained from the potential ecological risk (Ei) calculation for only five heavy metals (Cu, Cd, Zn, Ni and Pb) in this study that the potential ecological risk (Ei) values for these elements were in the range (0.20–7.25) with general average (1.39) for Cu, (0.00–200.10) with general average (76.03) for Cd, (0.03–0.96) with general average (0.39) for Zn, (0.00–2.90) with general average (0.66) for Ni and (0.05–7.60) with general average (1.62) for Pb. The potential ecological risk (Ei) values for heavy metals in the sediments of the present study areas are arranged according to their evaluation of dangerous as follows: Cd Cu>Pb>Ni>Zn. The classification of potential ecological risk is located between Low Risk and Disastrous Risk, where it's were classified of Cu, Zn, Ni and Pb are Low Risk, and classification of Cd from Low Risk to Disastrous Risk, stations that were rated low risk for Cd was concentrations values zero (ND). Qataba, Al-Mokha and North Al-Mokha regions were recorded the highest classification in the potential ecological risk for the Cd.50
Potential ecological risk index (RI)
The values of potential ecological risk index (RI) for the heavy metals for all samples are presented in Table 5. The results showed that obtained from the potential ecological risk index (RI) calculation for heavy metals (Cu, Cd, Zn, Ni and Pb) in this study that the potential ecological risk index (RI), values for these elements were in the ranged from 3.23 at station (13) in Al-Khowkhah region, to 205.23 at station (33) in North Al-Mokha region, with general average 80.63 for study area. The potential ecological risk values for heavy metals, according to the order evaluation of pollution in the various regions of as follows: (Qataba>Al-Mokha>North Al-Mokha>Al-Ruays>Abu-Zahr>South Al-Mokha>Zahari>Al-Khowkhah>Al-Haymah>Yokhtul>Moushij). Lower values was in the stations where cadmium concentrations did not score (Cd=ND). The regions study are classification by potential ecological risk index as follows; Al-Haymah, Abu-Zahr, Al-Khowkhah, Moushij, Zahari, Al-Ruays, Yokhtul and South Al-Mokha regions were low risk, North Al-Mokha region was moderate risk and Qataba and Al-Mokha regions were considerable risk.51
Regions |
Stations No |
Cu |
Cd |
Zn |
Ni |
Pb |
Co |
Mn |
CF |
||||||||
Al-Haymah |
1 |
0.23 |
1.67 |
0.38 |
0.16 |
0.08 |
0.26 |
0.26 |
2 |
0.62 |
1.1 |
0.11 |
0 |
0.65 |
0.14 |
0.14 |
|
Average |
0.43 |
1.39 |
0.25 |
0.08 |
0.37 |
0.2 |
0.2 |
|
Qataba |
3 |
0.21 |
5.57 |
0.39 |
0.08 |
0.27 |
0.14 |
0.43 |
Abu-Zahr |
4 |
0.21 |
2.23 |
0.32 |
0 |
0.02 |
0.14 |
1.4 |
5 |
0.16 |
3.33 |
0.37 |
0.21 |
0.15 |
0.38 |
0.33 |
|
6 |
0.21 |
2.77 |
0.38 |
0.12 |
0.48 |
0.25 |
0.3 |
|
7 |
0.21 |
3.33 |
0.59 |
0.06 |
0.22 |
0.26 |
0.63 |
|
Average |
0.2 |
2.92 |
0.42 |
0.1 |
0.22 |
0.26 |
0.67 |
|
Al-Khowkhah |
8 |
1.24 |
1.1 |
0.36 |
0.01 |
0.1 |
0.07 |
0.42 |
9 |
0.34 |
4.43 |
0.68 |
0.28 |
0.19 |
0.03 |
0.6 |
|
10 |
0.42 |
5 |
0.48 |
0.58 |
1.17 |
0.16 |
0.51 |
|
11 |
0.07 |
0.57 |
0.49 |
0.57 |
0.12 |
0.35 |
0.61 |
|
12 |
0.21 |
1.1 |
0.5 |
0.04 |
0.08 |
0.11 |
0.49 |
|
13 |
0.41 |
0 |
0.23 |
0.08 |
0.11 |
0.16 |
0.75 |
|
14 |
0.07 |
2.17 |
0.29 |
0.43 |
1.33 |
0.15 |
0.2 |
|
Average |
0.39 |
2.05 |
0.43 |
0.28 |
0.44 |
0.15 |
0.51 |
|
Mawshij |
15 |
0.62 |
0.57 |
0.52 |
0.08 |
0.25 |
0.28 |
0.98 |
16 |
0.29 |
1.1 |
0.55 |
0.06 |
0.23 |
0.05 |
0.5 |
|
Average |
0.46 |
0.84 |
0.54 |
0.07 |
0.24 |
0.17 |
0.74 |
|
Zahari |
17 |
0.41 |
2.23 |
0.25 |
0 |
0.15 |
0.23 |
0.56 |
18 |
0.21 |
3.33 |
0.03 |
0.01 |
0.13 |
0.12 |
0.28 |
|
19 |
0.62 |
1.1 |
0.46 |
0.03 |
0.12 |
0.11 |
0.28 |
|
20 |
0.11 |
2.2 |
0.17 |
0.23 |
0.65 |
0 |
0.15 |
|
Average |
0.34 |
2.22 |
0.23 |
0.07 |
0.26 |
0.12 |
0.32 |
|
Al-Ruays |
21 |
1.24 |
1.67 |
0.46 |
0.03 |
0.18 |
0.12 |
0.28 |
22 |
0.13 |
1.67 |
0.22 |
0.1 |
0.13 |
0.28 |
0.27 |
|
23 |
0.77 |
5.57 |
0.34 |
0.07 |
0.32 |
0.26 |
0.7 |
|
24 |
0.06 |
3.37 |
0.28 |
0 |
0.01 |
0.14 |
0.2 |
|
Average |
0.55 |
3.07 |
0.33 |
0.05 |
0.16 |
0.2 |
0.36 |
|
Yakhtul |
25 |
0.04 |
2.77 |
0.16 |
0.18 |
0.05 |
0.03 |
0.17 |
26 |
0.63 |
0 |
0.62 |
0.04 |
0.13 |
0.23 |
0.7 |
|
27 |
0.24 |
1.67 |
0.55 |
0.19 |
1.52 |
0 |
0.51 |
|
28 |
0.27 |
1.07 |
0.48 |
0.11 |
0.74 |
0.14 |
0.42 |
|
29 |
0.07 |
1.1 |
0.29 |
0.32 |
0.52 |
0.56 |
0.29 |
|
Average |
0.25 |
1.32 |
0.42 |
0.17 |
0.59 |
0.19 |
0.42 |
|
North Al-Mokha |
30 |
0.21 |
0.57 |
0.34 |
0.03 |
0.07 |
0.61 |
0.5 |
31 |
0.04 |
2.77 |
0.28 |
0.25 |
0.08 |
0.23 |
0.17 |
|
32 |
0.21 |
5.57 |
0.96 |
0.04 |
0.03 |
0.14 |
0.42 |
|
33 |
0.83 |
6.67 |
0.48 |
0.03 |
0.07 |
0.12 |
0.28 |
|
Average |
0.32 |
3.9 |
0.52 |
0.09 |
0.06 |
0.28 |
0.34 |
|
Al-Mokha |
34 |
1.45 |
3.33 |
0.36 |
0.01 |
0.08 |
0.09 |
0.49 |
35 |
0.1 |
6.57 |
0.29 |
0.35 |
0.69 |
0.16 |
0.39 |
|
Average |
0.78 |
4.95 |
0.33 |
0.18 |
0.39 |
0.13 |
0.44 |
|
South Al- Mokha |
36 |
0.05 |
2.27 |
0.26 |
0.1 |
0.77 |
0.02 |
0.13 |
37 |
1.06 |
2.23 |
0.39 |
0 |
0.12 |
0.11 |
0 |
|
Average |
0.56 |
2.25 |
0.33 |
0.05 |
0.45 |
0.07 |
0.07 |
|
Min |
(37) |
0.04 |
0 |
0.03 |
0 |
0.01 |
0 |
0 |
Max |
1.45 |
6.67 |
0.96 |
0.58 |
1.52 |
0.61 |
1.4 |
|
Area average |
0.39 |
2.53 |
0.39 |
0.13 |
0.32 |
0.18 |
0.43 |
|
Background in shale |
45 |
0.3 |
95 |
68 |
20 |
19 |
850 |
|
Sediment Quality of study area |
L to M |
L to V |
L |
L |
L to M |
L |
L to M |
Table 4 Results of Contamination factor (CF) of sediments from the south of Yemen's Red Sea coast (Al-Haymah – Al-Mokha)
Regions |
Stations no |
Ei |
|
|
|
|
RI |
Cu |
Cd |
Zn |
Ni |
Pb |
|
||
Al-Haymah |
1 |
1.15 |
50.1 |
0.38 |
0.8 |
0.4 |
52.83 |
2 |
3.1 |
33 |
0.11 |
0 |
3.25 |
39.46 |
|
Average |
2.13 |
41.55 |
0.25 |
0.4 |
1.83 |
46.15 |
|
Qataba |
3 |
1.05 |
167.1 |
0.39 |
0.4 |
1.35 |
170.29 |
Abu-Zahr |
4 |
1.05 |
66.9 |
0.32 |
0 |
0.1 |
68.37 |
5 |
0.8 |
99.9 |
0.37 |
1.05 |
0.75 |
102.87 |
|
6 |
1.05 |
83.1 |
0.38 |
0.6 |
2.4 |
87.53 |
|
7 |
1.05 |
99.9 |
0.59 |
0.3 |
1.1 |
102.94 |
|
Average |
0.99 |
87.45 |
0.42 |
0.49 |
1.09 |
90.43 |
|
Al-Khowkhah |
8 |
6.2 |
33 |
0.36 |
0.05 |
0.5 |
40.11 |
9 |
1.7 |
132.9 |
0.68 |
1.4 |
0.95 |
137.63 |
|
10 |
2.1 |
150 |
0.48 |
2.9 |
5.85 |
161.33 |
|
11 |
0.35 |
17.1 |
0.49 |
2.85 |
0.6 |
21.39 |
|
12 |
1.05 |
33 |
0.5 |
0.2 |
0.4 |
35.15 |
|
13 |
2.05 |
0 |
0.23 |
0.4 |
0.55 |
3.23 |
|
14 |
0.35 |
65.1 |
0.29 |
2.15 |
6.65 |
74.54 |
|
Average |
1.97 |
61.59 |
0.43 |
1.42 |
2.21 |
67.63 |
|
Mawshij |
15 |
3.1 |
17.1 |
0.52 |
0.4 |
1.25 |
22.37 |
16 |
1.45 |
33 |
0.55 |
0.3 |
1.15 |
36.45 |
|
Average |
2.28 |
25.05 |
0.54 |
0.35 |
1.2 |
29.41 |
|
Zahari |
17 |
2.05 |
66.9 |
0.25 |
0 |
0.75 |
69.95 |
18 |
1.05 |
99.9 |
0.03 |
0.05 |
0.65 |
101.68 |
|
19 |
3.1 |
33 |
0.46 |
0.15 |
0.6 |
37.31 |
|
20 |
0.55 |
66 |
0.17 |
1.15 |
3.25 |
71.12 |
|
Average |
1.69 |
66.45 |
0.23 |
0.34 |
1.31 |
70.02 |
|
Al-Ruays |
21 |
6.2 |
50.1 |
0.46 |
0.15 |
0.9 |
57.81 |
22 |
0.65 |
50.1 |
0.22 |
0.5 |
0.65 |
52.12 |
|
23 |
3.85 |
167.1 |
0.34 |
0.35 |
1.6 |
173.24 |
|
24 |
0.3 |
101.1 |
0.28 |
0 |
0.05 |
101.73 |
|
Average |
2.75 |
92.1 |
0.33 |
0.25 |
0.8 |
96.23 |
|
Yakhtul |
25 |
0.2 |
83.1 |
0.16 |
0.9 |
0.25 |
84.61 |
26 |
3.15 |
0 |
0.62 |
0.2 |
0.65 |
4.62 |
|
27 |
1.2 |
50.1 |
0.55 |
0.95 |
7.6 |
60.4 |
|
28 |
1.35 |
32.1 |
0.48 |
0.55 |
3.7 |
38.18 |
|
29 |
0.35 |
33 |
0.29 |
1.6 |
2.6 |
37.84 |
|
Average |
1.25 |
39.66 |
0.42 |
0.84 |
2.96 |
45.13 |
|
North Al-Mokha |
30 |
1.05 |
17.1 |
0.34 |
0.15 |
0.35 |
18.99 |
31 |
0.2 |
83.1 |
0.28 |
1.25 |
0.4 |
85.23 |
|
32 |
1.05 |
167.1 |
0.96 |
0.2 |
0.15 |
169.46 |
|
33 |
4.15 |
200.1 |
0.48 |
0.15 |
0.35 |
205.23 |
|
Average |
1.61 |
116.85 |
0.52 |
0.44 |
0.31 |
119.73 |
|
Al-Mokha |
34 |
7.25 |
99.9 |
0.36 |
0.05 |
0.4 |
107.96 |
35 |
0.5 |
197.1 |
0.29 |
1.75 |
3.45 |
203.09 |
|
Average |
3.88 |
148.5 |
0.33 |
0.9 |
1.93 |
155.53 |
|
South Al- Mokha |
36 |
0.25 |
68.1 |
0.26 |
0.5 |
3.85 |
72.96 |
37 |
5.3 |
66.9 |
0.39 |
0 |
0.6 |
73.19 |
|
Average |
2.78 |
67.5 |
0.33 |
0.25 |
2.23 |
73.08 |
|
Min |
-37 |
0.2 |
0 |
0.03 |
0 |
0.05 |
3.23 |
Max |
7.25 |
200.1 |
0.96 |
2.9 |
7.6 |
205.23 |
|
Areaaverage |
1.93 |
76.03 |
0.39 |
0.66 |
1.62 |
80.63 |
|
Sediment Quality of study area |
LR |
LRto DR |
LR |
LR |
LR |
LRto VHR |
Table 5 Results of The potential ecological risk (Ei) and the potential ecological risk index (RI) of coastal sediments from the south of Yemen's Red Sea coast (Al-Haymah – Al-Mokha)
LR, Low Risk; VHR, Very High Risk; and DR, Disastrous Risk;
|
Gravel |
Sand |
Mud |
OM |
CaCO3 |
Cu |
Cd |
Zn |
Ni |
Pb |
Grave l |
1 |
|||||||||
Sand |
-0.64** |
1 |
||||||||
Mud |
-0.61** |
-0.22 |
1 |
|||||||
OM |
-0.37* |
-0.04 |
0.54** |
1 |
||||||
CaCo3 |
-0.43* |
-0.13 |
0.68** |
0.48* |
1 |
|||||
Cu |
0.28 |
-0.27 |
-0.13 |
0.26 |
0.17 |
1 |
||||
Cd |
-0.31 |
0.40* |
-0.09 |
0.31* |
0.16 |
0.42* |
1 |
|||
Zn |
-0.15 |
0.42* |
-0.26 |
-0.73** |
-0.24 |
-0.29 |
-0.07 |
1 |
||
Ni |
-0.39* |
0.53** |
-0.03 |
-0.06 |
-0.15 |
0.02 |
0.09 |
0.2 |
1 |
|
Pb |
0.19 |
-0.12 |
-0.06 |
0.04 |
0.16 |
0.09 |
-0.36* |
-0.21 |
0.52** |
1 |
Table 6 Correlation coefficients between the grain size, organic matter (OM), calcium carbonate (CaCO3) and heavy metals in of coastal sediments from the south of Yemen's Red Sea coast (Al-Haymah - Al-Mokha)
**Correlation is significant at the p?0.01 level. *Correlation is significant at the p?0.05 level.
From, the foregoing, one can see:
Statistical analysis
Correlation analysis: The interrelationships matrices between the studied elements in the costal sediments between Al-Haymah and Al-Mokha, South Red Sea, Yemen are calculated and are shown in (Table 6). Various degrees of correlations were found some significant correlations, both positive and negative between the heavy metal, gravel, sand, mud, organic matter and calcium carbonate in study area showed.
From the Table 6:
This study was carried out to provide information on heavy metal concentrations and Ecological Risk Assessment for these metals in coastal sediment between Al-Haymah and Al-Mokha, South Red Sea, Yemen. Distribution and ecological risk for Cu, Cd, Zn, Ni and Pb in sediment samples collected from 11 regions (37 stations) in the coasts of Yemen were studied. The results showed that the most of sediments are sand (83.83%), the content of organic matter was low (1.4%) and rich of calcium carbonate (56.1%) while the concentrations of heavy metals were less than the Background value (shale) except the Cd record high concentrations in all study stations but stations in which did not record any level of concentration was reason for this is that the values of Cd=ND. The present study shows that the coastal sediments in this part of the Red Sea coast of Yemen are not Polluted by heavy metals Cu, Zn, Ni and Pb, but it heavily polluted by Cd, especially in Al-Mokha, where arrived value RI = 205.23 in station (33). The contamination factor values for heavy metals arranged according to their dangerous as follows: Cd>Cu>Zn>Pb>Ni and the potential ecological risk index values for heavy metals, according to the order evaluation of pollution in the various regions as follows: (Qataba>Al-Mokha>North Al-Mokha>Al-Ruays>Abu-Zahr>South Al-Mokha>Zahari>Al-Khowkhah>Al-Haymah>Yokhtul>Moushij). Consequently, continuous monitoring and efforts of remediation are might be required to improve the coastal environment near the high human activities areas.
None.
The authors declare that there are no conflicts of interest.
©2019 Al-Edresy, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.