
To assess the heavy metals concentration in the coastal sediments of the southern Kuwait coast, Fe, Mn, Cu, Pb, Ni, Co, Cd and Cr were measured by inductively coupled plasma mass spectroscopy. Whereas, the south of Kuwait coast is characterized by the presence of tourist resorts, and commercial and oil exports harbors. Moreover, environmental indicators were used to help in evaluating the degree and the intensity of pollutants in these sediments. Geoaccumulation index (Igeo) revealed that the sediments of hard all Hamara and Al-Khiran coasts are moderately polluted by Cu, while Ras Al-Zour and Ras Al-Jula'ia coasts are moderately polluted by Cd. Moreover, the enrichment factor (EF) indicated that the sediments of Hadd Al-Hamara coast are severely enriched with Ni, Cr and Pb, while the Al-Khiran coast is moderate severely enriched with the same metals. Ras Al-Zour and Ras Al-Jula'ia coasts are severely enriched with Ni and very severely enriched with Pb. Simultaneously, all studied sites are extremely severely enriched with Cu and Cd. These results were confirmed by the results of the contamination factor (CF) and the soil pollution index (SPI) indicated that Hadd Al-Hamara and Al-Khiran coasts are highly contaminated with Cu and Cd, while Ras Al-Zour and Ras Al-Jula'ia coasts are highly contaminated with Cd. Generally, the pollution load index showed that the sediments of all studied sites are no heavy metal pollution (PLI < 1). Pollutants might be originated from commercial wastes and construction activities.
Citation: Hamdy E. Nour, Fatma Ramadan, Nouf El Shammari, Mohamed Tawfik. Status and contamination assessment of heavy metals pollution in coastal sediments, southern Kuwait[J]. AIMS Environmental Science, 2022, 9(4): 538-552. doi: 10.3934/environsci.2022032
[1] | Hedi Januar, Dwiyitno, Izhamil Hidayah, Irma Hermana . Seasonal heavy metals accumulation in the soft tissue of Anadara granosa mollusc form Tanjung Balai, Indonesia. AIMS Environmental Science, 2019, 6(5): 356-366. doi: 10.3934/environsci.2019.5.356 |
[2] | Sandrine Chifflet, Marc Tedetti, Hana Zouch, Rania Fourati, Hatem Zaghden, Boubaker Elleuch, Marianne Quéméneur, Fatma Karray, Sami Sayadi . Dynamics of trace metals in a shallow coastal ecosystem: insights from the Gulf of Gabès (southern Mediterranean Sea). AIMS Environmental Science, 2019, 6(4): 277-297. doi: 10.3934/environsci.2019.4.277 |
[3] | Gireshsingh Mungla, Sunita Facknath, Bhanooduth Lalljee . Assessing the Potential of Mechanical Aeration Combined with Bioremediation Process in Soils and Coastal Sediments Impacted by Heavy Metals. AIMS Environmental Science, 2022, 9(5): 692-707. doi: 10.3934/environsci.2022039 |
[4] | Paloma Alcorlo, Irene Lozano, Angel Baltanás . Heavy metals effects on life traits of juveniles of Procambarus clarkii. AIMS Environmental Science, 2019, 6(3): 147-166. doi: 10.3934/environsci.2019.3.147 |
[5] | Maja Radziemska, Agnieszka Bęś, Zygmunt M. Gusiatin, Jerzy Jeznach, Zbigniew Mazur, Martin Brtnický . Novel combined amendments for sustainable remediation of the Pb-contaminated soil. AIMS Environmental Science, 2020, 7(1): 1-12. doi: 10.3934/environsci.2020001 |
[6] | K. Wayne Forsythe, Chris H. Marvin, Danielle E. Mitchell, Joseph M. Aversa, Stephen J. Swales, Debbie A. Burniston, James P. Watt, Daniel J. Jakubek, Meghan H. McHenry, Richard R. Shaker . Utilization of bathymetry data to examine lead sediment contamination distributions in Lake Ontario. AIMS Environmental Science, 2016, 3(3): 347-361. doi: 10.3934/environsci.2016.3.347 |
[7] | Périne Doyen, Etienne Morhain, François Rodius . Modulation of metallothionein, pi-GST and Se-GPx mRNA expression in the freshwater bivalve Dreissena polymorpha transplanted into polluted areas. AIMS Environmental Science, 2015, 2(2): 333-344. doi: 10.3934/environsci.2015.2.333 |
[8] | Gianniantonio Petruzzelli, Francesca Pedron, Irene Rosellini . Bioavailability and bioaccessibility in soil: a short review and a case study. AIMS Environmental Science, 2020, 7(2): 208-225. doi: 10.3934/environsci.2020013 |
[9] | Tammy M. Milillo, Gaurav Sinha, Joseph A. Gardella Jr. . Determining site-specific background level with geostatistics for remediation of heavy metals in neighborhood soils. AIMS Environmental Science, 2017, 4(2): 323-347. doi: 10.3934/environsci.2017.2.323 |
[10] | Jerry R. Miller . Potential ecological impacts of trace metals on aquatic biota within the Upper Little Tennessee River Basin, North Carolina. AIMS Environmental Science, 2016, 3(3): 305-325. doi: 10.3934/environsci.2016.3.305 |
To assess the heavy metals concentration in the coastal sediments of the southern Kuwait coast, Fe, Mn, Cu, Pb, Ni, Co, Cd and Cr were measured by inductively coupled plasma mass spectroscopy. Whereas, the south of Kuwait coast is characterized by the presence of tourist resorts, and commercial and oil exports harbors. Moreover, environmental indicators were used to help in evaluating the degree and the intensity of pollutants in these sediments. Geoaccumulation index (Igeo) revealed that the sediments of hard all Hamara and Al-Khiran coasts are moderately polluted by Cu, while Ras Al-Zour and Ras Al-Jula'ia coasts are moderately polluted by Cd. Moreover, the enrichment factor (EF) indicated that the sediments of Hadd Al-Hamara coast are severely enriched with Ni, Cr and Pb, while the Al-Khiran coast is moderate severely enriched with the same metals. Ras Al-Zour and Ras Al-Jula'ia coasts are severely enriched with Ni and very severely enriched with Pb. Simultaneously, all studied sites are extremely severely enriched with Cu and Cd. These results were confirmed by the results of the contamination factor (CF) and the soil pollution index (SPI) indicated that Hadd Al-Hamara and Al-Khiran coasts are highly contaminated with Cu and Cd, while Ras Al-Zour and Ras Al-Jula'ia coasts are highly contaminated with Cd. Generally, the pollution load index showed that the sediments of all studied sites are no heavy metal pollution (PLI < 1). Pollutants might be originated from commercial wastes and construction activities.
Kuwait is in the northeastern part of the Arabian Peninsula, with a coastline that stretches for about 500 km, including the shores of the islands. The southern coast of Kuwait is dominated by parks, private housing, and investment projects, in addition to industrial activities such as the Al-Zour power plant and ports for transporting goods and oil. Kuwait City is influenced by the environment of the dry Gulf area, where summer temperatures may reach dangerously high levels. It varies from 42 and 48 degrees Celsius, and the city is afflicted by dusty winds with high humidity throughout this season, although temperatures during the winter season are generally low with little rain; It has an average temperature of 18 ℃ and annual precipitation of 7 mm.
Heavy metal pollutants find their way into coastal environments through industrial, agricultural, and wastewater effluents generated by coastal cities and resorts [1,2,3,4]. As a result, pollution monitoring activities for the maritime environment are a critical concern [5,6,7]. Where the marine environment plays a major role in achieving environmental balance. The degree of micro pollution in aquatic ecosystems can potentially be determined by analyzing water, sediments, or local biota. However, marine sediments are far superior to seawater or marine shells as a technique for monitoring heavy metal contamination [8,9,10,11]. Multiple sampling must be done often and over a large enough geographic area to remove pollutant concentration changes caused by time, season, and other physicochemical phenomena. Terrestrial metals make up most anthropogenic metals in a marine coastal environment [12,13]. Heavy metals, unlike many other pollutants in our environment, are natural elements of the aquatic environment and can be obtained from a variety of human sources. These contaminants reach the maritime environment through industrial and domestic waste, fishing boats, shipping, oil tanker activities, and oil/gas exploration [14,15], as well as naturally through rock weathering [14,16]. Several metals have already been mobilized by a man at rates equivalent to, and occasionally exceeding, those of nature, thanks to the usage of mineral oils and industrial wastes.
Recently, the world began to pay attention to the quality of the environment because of its great impact on human health and living organisms. Therefore, environmental impact assessment studies vary in many regions around the world, but this type of studies is rather few in Kuwait. Due to the presence of a high percentage of tourist resorts and the presence of many vacationers most times of the year, in addition to the presence of commercial and oil ports. Wherefore, the major goal of the present work is to figure out the distribution and the status of the heavy metals in Kuwait's south coastal sediments. Furthermore, to examine and evaluate their possible environmental risk in the study area. In addition, this study provides a reference database for the Ministry of Environment and researchers assessing the concentration of some heavy metals in the coastal sediments of the southern Kuwait region.
A total of 48 surface coastal sediments was collected along the southern coastline of Kuwait beach, (Figure 1). In each site 12 samples were taken equally at high tide, sea level and offshore (60 cm depth). The collected sediment sample process was done in four different locations for the southern coast of Kuwait. This area extends to 34 km, starting from the southernmost point, which is called Had Hamara (south of Al-Khiran); followed by Al-Khiran; Ras Al-Zour; and Ras Al-Jula'ia toward the north (Figures 1 and 2).
Al-Khiran area is in the extreme southeast of Kuwait, and it is part of the coastal strip that overlooks the Arabian Gulf. It is 17 km long from north to south, and it continues inland for 8 to 10 km. The Khor Al-Muftah and Khor Al-Ami, located in the center of the region, are two tidal canals that run for many km across the land. It brings Gulf waves behind a rather high surface range of coastal limestone cliffs. Based on their method of occurrence, recent Aeolian deposits cover the majority of the Al-Khiran region. Mobile and immobile sand deposits have been identified in these Aeolian deposits.
The Ras Al-Zour coastal area, in Kuwait's southern region, is a hotspot for industrial water consumption and existing power plant sea intake outfall. Some building projects are now underway, including the Al-Zour Refinery, the Al-Zour LNG import facility, and the extension of an existing power plant. The Al-Zour region has developed into one of Kuwait's most important industrial complexes. It is one of the oil-producing locations, with an oil well discovered in 1958. It has certain facilities, such as the Al-Zour power station. Al-Zour is the world's largest single-stage oil refining and refinery. The southern coastline of Kuwait's gibbons' winds makes up several sub-bays separated by the heads, such as Ras Asheerj and Ras Kazma, and to the south of the area. The coastline straightens apart from some prominent few heads such as Ras Al-Zour and Ras Al-Jula'ia.
Sediment samples were collected randomly using a stainless-steel box sampler during winter 2020. Sediment samples were crushed in an agate mortar to 63 µm and then about 0.2 g were digested in a mixture of HNO3, HCl and HF by method EPA-3050 B, using a machine called Microwave Digestion from Anton Paar Company at the research sector project unit, faculty of science, Kuwait university. To determine the concentration of Fe, Mn, Cu, Pb, Ni, Co, Cd and Cr in the studied samples, inductively coupled plasma mass spectrometry (ICP-MS) was used. Before entering the sample into this device, the device was calibrated and programmed to extract the concentration of the elements whose concentration in the sample is to be determined.
Some environmental indicators and statistical analysis were used to evaluate the assessment of the extent of the environmental pollution of the study area and identify the expected sources responsible for the presence of pollutants in the environment such as the Geo-accumulation index (Igeo), the enrichment factor (EF), the contamination factor (CF), sediments pollution index (SPI), the contamination degree (Cdeg) and the pollution load index (PLI) according to [17,18,19,20,21,22]. In addition to Pearson correlation coefficients, hierarchal cluster analysis (HCA) and principal component analysis (PCA) were calculated by using SPSS program ver.20.
South Kuwait coastal sediments ranged from coarse quartz and carbonate sands to very fine mud. Complete and fragmented of invertebrate skeletons as bivalves, gastropods, foraminifers, and others can be found in the biogenic component of the sediments. The following is a full explanation of the examined metals' spatial distribution, including their maximum and lowest values, averages and comparisons to other coastal areas across the world (Table 1).
Studied area /background | Fe | Mn | Cu | Pb | Ni | Cd | Co | Cr | References |
South Kuwait coast | 598.60 | 21.98 | 130.35 | 4.06 | 9.31 | 0.70 | 0.42 | 9.69 | Present work |
Sulaibikhat Bay, Kuwait | 10–100 | 2.0–32.0 | 25–130 | 2.00–4.0 | 65–190 | [23] | |||
Iran coast | 19–45 | 7.6–15 | 98–200 | 93–184 | [24] | ||||
Arabian Gulf, Bahrain | 471–6475 | 22.6–84.3 | 2.4–48.3 | 0.7–99 | 2.46–23.2 | 0.04–0.2 | 0.17–2.43 | [25] | |
Sharm El-Sheikh, Egypt | 2629 | 428 | 30 | 32.4 | 45 | 2.53 | 1.95 | [26] | |
Mediterranean coast, Libya | 2048 | 34.07 | 17.1 | 11.1 | 21.9 | 0.81 | 5.8 | [27] | |
Caspian Sea, Russia | 5520 | 200 | 8.3 | 4.19 | 14 | 0.06 | 3.8 | [28] | |
Lowest effect level (LEL) | 20000 | 460 | 16 | 31 | 16 | 26 | [29] | ||
Severe effect level (SEL) | 40000 | 1100 | 110 | 250 | 75 | 110 |
Heavy metals concentrations in the studied sediments were obtained in supplementary Table 1. These results showed that the Al-Khiran area recorded the highest levels of Fe (1599 ppm), Cu (423 ppm) and Co (0.971 ppm) with an average (598.6,130.3 and 0.420 ppm) respectively. However, Ras Al-Jula'ia area recorded the highest levels of Mn (52.9 ppm), Cd (1.96 ppm) and the total organic matter (TOM) (680) with an average (21.9, 0.69 and 296 ppm) respectively. Moreover, Pb recorded the highest value of 8.47 ppm at Ras Al-Zour area with an average (4.06 ppm). Furthermore, the Hadd Al-Hamara area recorded the highest value of Ni (21.37 ppm) and Cr (46.04 ppm) with an average (9.31 and 9.69 ppm) respectively.
Figure 3 explains clearly that the sources of the heavy metals in the study area are different according to the nature of each site. Hadd Al-Hamara area has an increase in the concentrations of Fe, Mn in the landward samples, while the concentrations of Cr, Cd, Co, Ni and TOM in the sediments towards the seaward direction were increased. This may refer to natural weathering and vacationers' activity. However, the Al-Khiran area recorded high levels of Cu, Pb, Ni and Cd in onshore samples. As this area is one of the most famous tourist areas in southern Kuwait. On the other side, the Ras Al-Zour area recorded the highest levels of Pb, Cd and Co in offshore samples. This may be due to the fact that it is close to the commercial and oil port of Al-Zour. Moreover, the Ras Al-Jula'ia area recorded the highest levels of Pb and Cd onshore samples. This may be due to the fact that it is also close to the commercial and oil port of Abdullah.
The main concentration of Fe, Mn, Ni, Pb and Co in the present work were lower than all sites in Table 1 as Arabian Gulf (Bahrain), Sharm El-Sheikh (Egypt), Mediterranean coast (Libya), the Caspian Sea (Russia), Sulaibikhat Bay (Kuwait) and Iran coast. In contrast, Cu and Cr were higher than in all these comparison sites. Cd was higher than in Arabian Gulf and Caspian Sea, while it lower than ones in Sulaibikhat Bay, Arabian Gulf, Sharm El-Sheikh and Mediterranean coast. On the other hand, the concentrations of all studied heavy metals were lower than references value as lowest effect level (LEL) and severe effect level (SEL).
To assess the effect of heavy metals on the coastal sediments in the studied area, some environmental pollution indicators were calculated in Table 2 and Figure 4. The geoaccumulation index (Igeo) assesses the degree of metal pollution in terms of seven enrichment classes based on the increasing numerical values of the index [30]; Igeo ˂ 0 means uncontaminated; Igeo (0–1) means uncontaminated to moderately contaminated; Igeo (1–2) means moderately contaminated; Igeo (2–3) means moderately to heavily contaminated; Igeo (3–4) means heavily contaminated; Igeo (4–5) means heavily to extremely contaminated; and Igeo ≥ 5 means extremely contaminated. This index is calculated as follows: Igeo = log2 (Cn/1.5 × Bn), where Cn is the concentration of the element in the enriched samples, and the Bn is the background or pristine value of the element. These results revealed that the sediments of Hadd Al-Hamara and Al-Khiran coasts are moderately polluted by Cu, while Ras Al-Zour and Ras Al-Jula'ia coasts are moderately polluted by Cd.
Site | Igeo | EF | CF | SPI | |||||||||
Min. | Max. | Aver. | Min. | Max. | Aver. | Min. | Max. | Aver. | Min. | Max. | Aver. | ||
Hadd al Hamara | Fe | −6.83 | −5.89 | −6.55 | 0.013 | 0.025 | 0.016 | ||||||
Mn | −6.55 | −5.27 | −6.03 | 1.21 | 1.69 | 1.45 | 0.016 | 0.039 | 0.024 | 0.02 | 0.06 | 0.03 | |
Cu | 1.14 | 2.38 | 1.68 | 172.1 | 553.5 | 330.3 | 3.302 | 7.782 | 5.002 | 4.95 | 11.67 | 7.50 | |
Pb | −3.44 | −2.09 | −2.81 | 9.61 | 19.90 | 14.04 | 0.138 | 0.353 | 0.225 | 0.28 | 0.71 | 0.45 | |
Ni | −4.83 | −2.25 | −3.60 | 3.28 | 22.88 | 10.54 | 0.053 | 0.314 | 0.154 | 0.09 | 0.53 | 0.26 | |
Co | −6.42 | −4.95 | −5.67 | 1.19 | 3.54 | 2.08 | 0.017 | 0.049 | 0.031 | 0.04 | 0.12 | 0.07 | |
Cd | −2.03 | 0.01 | −1.18 | 22.2 | 103.1 | 48.0 | 0.368 | 1.507 | 0.736 | 1.84 | 7.53 | 3.68 | |
Cr | −3.97 | −1.55 | −2.85 | 5.16 | 37.24 | 17.37 | 0.096 | 0.512 | 0.255 | 0.09 | 0.46 | 0.23 | |
Al-Khiran | Fe | −6.94 | −5.47 | −6.35 | 0.012 | 0.034 | 0.020 | ||||||
Mn | −7.07 | −4.91 | −6.18 | 0.90 | 1.47 | 1.14 | 0.011 | 0.050 | 0.024 | 0.02 | 0.07 | 0.03 | |
Cu | 1.42 | 2.65 | 1.93 | 172.9 | 532.2 | 335.0 | 4.017 | 9.404 | 5.957 | 6.03 | 14.11 | 8.94 | |
Pb | −3.99 | −2.51 | −3.21 | 4.57 | 16.42 | 9.69 | 0.095 | 0.264 | 0.170 | 0.19 | 0.53 | 0.34 | |
Ni | −4.71 | −2.96 | −3.82 | 4.00 | 10.28 | 6.28 | 0.057 | 0.192 | 0.115 | 0.10 | 0.33 | 0.19 | |
Co | −6.31 | −4.88 | −5.64 | 1.38 | 2.24 | 1.70 | 0.019 | 0.051 | 0.032 | 0.04 | 0.12 | 0.08 | |
Cd | −1.87 | 1.23 | −0.76 | 18.87 | 257.28 | 72.30 | 0.412 | 3.525 | 1.178 | 2.06 | 17.62 | 5.89 | |
Cr | −3.64 | −2.46 | −3.16 | 5.75 | 13.49 | 9.56 | 0.120 | 0.273 | 0.174 | 0.11 | 0.25 | 0.16 | |
Ras Al-Zour | Fe | −8.51 | −7.33 | −8.01 | 0.004 | 0.009 | 0.006 | ||||||
Mn | −6.08 | −5.29 | −5.76 | 3.06 | 7.26 | 4.96 | 0.022 | 0.038 | 0.028 | 0.03 | 0.05 | 0.04 | |
Cu | −2.47 | −1.53 | −2.04 | 55.64 | 71.29 | 62.96 | 0.271 | 0.519 | 0.372 | 0.41 | 0.78 | 0.56 | |
Pb | −3.55 | −1.82 | −3.18 | 17.53 | 86.05 | 33.15 | 0.128 | 0.424 | 0.182 | 0.26 | 0.85 | 0.36 | |
Ni | −4.75 | −2.90 | −3.75 | 11.32 | 23.77 | 19.44 | 0.056 | 0.201 | 0.119 | 0.09 | 0.34 | 0.20 | |
Co | −7.85 | −5.62 | −6.99 | 0.89 | 3.94 | 2.16 | 0.006 | 0.030 | 0.013 | 0.02 | 0.07 | 0.03 | |
Cd | 0.78 | 1.83 | 1.37 | 448.8 | 1043.4 | 705.7 | 2.570 | 5.316 | 3.981 | 12.85 | 26.58 | 19.90 | |
Cr | −8.13 | −7.31 | −7.72 | 0.88 | 1.94 | 1.28 | 0.005 | 0.009 | 0.007 | 0.00 | 0.01 | 0.01 | |
Ras Al-Jula'ia | Fe | −7.74 | −6.85 | −7.32 | 0.007 | 0.013 | 0.010 | ||||||
Mn | −6.36 | −4.59 | −5.72 | 1.91 | 6.67 | 3.36 | 0.018 | 0.062 | 0.031 | 0.03 | 0.09 | 0.04 | |
Cu | −2.11 | −1.30 | −1.68 | 41.36 | 58.90 | 50.28 | 0.348 | 0.608 | 0.476 | 0.52 | 0.91 | 0.71 | |
Pb | −3.34 | −2.16 | −2.60 | 13.15 | 47.80 | 28.63 | 0.149 | 0.336 | 0.254 | 0.30 | 0.67 | 0.51 | |
Ni | −4.13 | −2.63 | −3.24 | 12.04 | 20.53 | 17.28 | 0.086 | 0.243 | 0.168 | 0.15 | 0.41 | 0.29 | |
Co | −7.70 | −6.45 | −6.93 | 0.75 | 2.10 | 1.41 | 0.007 | 0.017 | 0.013 | 0.02 | 0.04 | 0.03 | |
Cd | 0.64 | 2.12 | 1.24 | 206.8 | 930.9 | 421.6 | 2.337 | 6.543 | 3.710 | 11.68 | 32.72 | 18.55 | |
Cr | −8.36 | −7.53 | −8.00 | 0.46 | 1.05 | 0.66 | 0.005 | 0.008 | 0.006 | 0.00 | 0.01 | 0.01 |
The enrichment factor (EF) was used to determine the potential source of pollutants [31]. This factor is mathematically expressed as EF = (M/Fe) sample/(M/Fe) background, where: M is the concentration of heavy metal in the sample. EF can be divided into several categories as EF ˂ 1 is no enrichment; EF (1–3) is minor enrichment; EF (3–5) is moderate enrichment; EF (5–10) is moderately severe enrichment; EF (10–25) is severe enrichment; EF (25–50) is very severe enrichment; and EF > 50 is extremely severe enrichment. These results indicated that the sediments of Hadd Al-Hamara and Al-Khiran coasts are minor enriched with Mn and Co, while Ras Al-Zour and Ras Al-Jula'ia coasts are minor enriched with Co and Cr. However, the sediments of Hadd Al-Hamara coast are severely enriched with Ni, Cr and Pb, while the Al-Khiran coast is moderate severely enriched with the same metals. Ras Al-Zour and Ras Al-Jula'ia coasts are severely enriched with Ni and very severely enriched with Pb. Simultaneously, all studied sites are extremely severe enriched with Cu and Cd.
The contamination factor has been used to assess the level of contamination and the possible anthropogenic impact of contaminants in sediments [32]. This factor can be calculated from the following relation: CF = C metal/C background, where: C is the concentration of metal in sample and C background refers to the measured concentrations of metals in average shale rocks. CF can be classified into CF ˂ 1 is low contamination; CF (1–3) is moderate contamination; CF (3–6) is considerable contamination; and CF > 6 is very high contamination. These results have confirmed the results of Igeo where all studied sites are low contaminated with Fe, Mn, Pb, Ni, Co, Cd, Cr and Cd. Whereas Hadd Al-Hamara and Al-Khiran coasts are considerably contaminated with Cu, while Ras Al-Zour and Ras Al-Jula'ia coasts are considerably contaminated with Cd.
Soil pollution index (SPI) is used to identify a single element contamination index in sediment samples [33,34]. This index can be calculated as SPI = Cs/Cm, where: Cs is the concentration of metal in the sample, and Cm is the world permissible level of metal. SPI can be divided into three categories as SPI ≤ 1 is low contamination; (1 < SPI ≤ 3) is moderate contamination; and SPI > 3 is high contamination. These results are in an agreement with the other environmental indicators. In details, Hadd Al-Hamara and Al-Khiran coasts are highly contaminated with Cu and Cd, while Ras Al-Zour and Ras Al-Jula'ia coasts are mainly contaminated with Cd.
The degree of contamination Cdeg is used to describe the extent of contamination of a metal contaminant in the studied area [33]. This index is calculated as follows: Cdeg = ∑CF. These results revealed that the sediments of hard all Hamara and Al-Khiran coasts are moderate degree contaminated by heavy metals, while Ras Al-Zour and Ras Al-Jula'ia coasts are low degrees of heavy metal contamination.
The pollution load index (PLI) is used to estimate the degree of pollution in the studied area [35,36,37]. This index is calculated as follows: PLI = (CF1 × CF2 × CF3 × … CFn)1/n. These results showed that the sediments of all studied sites are no heavy metal pollution (PLI < 1).
Multivariate analysis as the correlation coefficient (Table 3) indicated that there is a significant positive relation between Fe with Cu, Co and Cr, while Fe has a negative relation with Cd. Cu has a positive relation with Co and Cr, whereas it has a negative relation with Cd and TOM. However, Co has a strong positive relation with Cr and negative relation with Cd. The results of cluster analysis data (Figure 5) revealed that there are three metal clusters, the first one included Co, Cr, Cu and Fe. While the second cluster included Mn, Cd and Pb, whereas the third one has only Ni. Confirmed that the principal component analysis (PCA) showed that the studied heavy metals were classified into three component matrix (Table 4) for the total cumulative value of 78.59%. The first one showed high positive loading between four metals (Cu, Co, Cr and Fe) with a cumulative value of 45.36%. While the second component proved positive loading between Mn, Ni and TOM with a cumulative value of 64.34%. The third component matrix illustrated a positive relation between Mn and Pb, whereas it pointed to negative relation with Ni. Each heavy metal component might have come from the same origin [37,38]. These results indicated that the pollutants in the studied area come from various sources as industrial effluent, ship transportation of oil and goods, Al-Zour power plant, and illegal domestic sewage discharge. in addition, throwing wood waste, backfilling works in the sea, docks to drop boats have contributed to this problem (Figure 2).
Fe | Mn | Cu | Pb | Ni | Co | Cd | Cr | TOM | |
Fe | 1.00 | ||||||||
Mn | 0.207 | 1.00 | |||||||
Cu | 0.734** | −0.24 | 1.00 | ||||||
Pb | 0.054 | 0.217 | −0.10 | 1.00 | |||||
Ni | 0.045 | 0.105 | 0.025 | −0.04 | 1.00 | ||||
Co | 0.778** | 0.056 | 0.770** | −0.02 | 0.366* | 1.00 | |||
Cd | −0.656** | 0.310* | −0.751** | 0.118 | 0.123 | −0.558** | 1.00 | ||
Cr | 0.518** | −0.24 | 0.754** | −0.14 | 0.455** | 0.844** | −0.646** | 1.00 | |
TOM | −0.314* | 0.195 | −0.510** | 0.265 | 0.410** | −0.310* | 0.372** | −0.28 | 1.00 |
Note: **: Correlation is significant at the 0.01 level (2-tailed); *: Correlation is significant at the 0.05 level (2-tailed). |
Component matrixa | |||
Component | |||
1 | 2 | 3 | |
Fe | 0.806 | 0.181 | 0.424 |
Mn | −0.190 | 0.543 | 0.601 |
Cu | 0.932 | −0.103 | 0.052 |
Pb | −0.149 | 0.373 | 0.559 |
Ni | 0.148 | 0.790 | −0.534 |
Co | 0.889 | 0.342 | 0.039 |
Cd | −0.822 | 0.231 | −0.046 |
Cr | 0.869 | 0.224 | −0.322 |
TOM | −0.509 | 0.623 | −0.184 |
% of Variance | 45.36 | 18.99 | 14.25 |
Cumulative% | 45.36 | 64.34 | 78.59 |
Note: Extraction method: principal component analysis. a: 3 components extracted. |
The distribution of heavy metals concentrations in the coastal sediments of the southern Kuwait coast showed that Hadd Al-Hamara area has the highest concentrations of Fe and Mn in onshore samples, while it has the highest concentrations of Cr, Cd, Co, Ni and TOM in the offshore sediments. Meanwhile, the Al-Khiran area has the highest levels of Cu, Pb, Ni and Cd in onshore samples. On the other side, the Ras Al-Zour area recorded the highest levels of Pb, Cd and Co in offshore samples. Moreover, the Ras Al-Jula'ia area recorded the highest levels of Pb and Cd in onshore samples.
The geo-accumulation index revealed that the sediments of Hadd Al-Hamara and Al-Khiran coasts are moderately polluted by Cu, while Ras Al-Zour and Ras Al-Jula'ia coasts are moderately polluted by Cd. While the enrichment factor indicated that the sediments of Hadd Al-Hamara and Al-Khiran coasts are minor enriched with Mn and Co, while Ras Al-Zour and Ras Al-Jula'ia coasts are minor enriched with Co and Cr. However, the sediments of Hadd Al-Hamara coast are severely enriched with Ni, Cr and Pb, while the Al-Khiran coast is moderate severely enriched with the same metals. Ras Al-Zour and Ras Al-Jula'ia coasts are severely enriched with Ni and very severely enriched with Pb. Simultaneously, all studied sites are extremely severe enriched with Cu and Cd. Soil pollution index conformable with other environmental indicators. It indicated that Hadd Al-Hamara and Al-Khiran coasts are highly contaminated with Cu and Cd, while Ras Al-Zour and Ras Al-Jula'ia coasts are highly contaminated with Cd. The degree of contamination revealed that the sediments of Hadd Al-Hamara and Al-Khiran coasts are a moderate degree of contamination by heavy metals, while Ras Al-Zour and Ras Al-Jula'ia coasts are low degrees of heavy metal contamination. The pollution load index showed that the sediments of all studied sites are no heavy metal pollution. Nevertheless, we can decide that the sources of the pollutants in the studied area were industrial effluent, industrial pollutants, ship transportation of oil and goods, Al-Zour power plant, domestic sewage discharge and backfilling works.
The authors unanimously declare that this paper is free from any conflict of interest.
Site | SN | depth | Fe | Mn | Cu | Pb | Ni | Co | Cd | Cr | TOM |
Hadd al Hamara (south of Al-Khiran) | 1 | High tide (>SL = 3 m) | 679.4 | 18.1 | 200 | 2.77 | 4.74 | 0.33 | 0.11 | 9.88 | 170 |
2 | 876.5 | 25.0 | 149 | 4.06 | 4.58 | 0.43 | 0.12 | 8.62 | 330 | ||
3 | 1191.7 | 33.0 | 216 | 6.32 | 5.63 | 0.57 | 0.26 | 13.57 | 160 | ||
4 | 671.2 | 16.7 | 267 | 4.00 | 5.89 | 0.40 | 0.23 | 14.54 | 100 | ||
5 | Sea level | 663.6 | 18.7 | 350 | 4.99 | 9.30 | 0.53 | 0.21 | 17.73 | 250 | |
6 | 1033.4 | 26.5 | 170 | 7.05 | 5.71 | 0.66 | 0.20 | 13.07 | 160 | ||
7 | 621.6 | 13.6 | 254 | 4.63 | 6.48 | 0.40 | 0.14 | 13.49 | 130 | ||
8 | 641.5 | 16.9 | 149 | 5.41 | 3.60 | 0.40 | 0.19 | 11.12 | 160 | ||
9 | Offshore (60 cm) | 689.4 | 21.0 | 189 | 4.12 | 15.65 | 0.85 | 0.31 | 33.78 | 190 | |
10 | 652.9 | 15.6 | 198 | 3.39 | 19.84 | 0.79 | 0.16 | 43.01 | 210 | ||
11 | 648.4 | 15.7 | 251 | 3.12 | 21.37 | 0.92 | 0.16 | 46.04 | 600 | ||
12 | 689.5 | 17.3 | 260 | 3.18 | 18.96 | 0.82 | 0.45 | 42.08 | 280 | ||
Al-Khiran | 13 | High tide (>SL = 3 m) | 625.8 | 12.8 | 197 | 3.18 | 5.71 | 0.39 | 0.21 | 11.87 | 190 |
14 | 1090.8 | 20.2 | 423 | 5.27 | 13.08 | 0.97 | 0.60 | 24.60 | 190 | ||
15 | 824.6 | 16.8 | 310 | 3.57 | 9.33 | 0.54 | 0.23 | 18.08 | 110 | ||
16 | 646.6 | 12.6 | 328 | 4.50 | 9.58 | 0.58 | 1.06 | 16.64 | 160 | ||
17 | Sea level | 580.8 | 9.5 | 268 | 1.89 | 5.35 | 0.39 | 0.12 | 14.18 | 160 | |
18 | 1267.7 | 29.8 | 209 | 3.43 | 8.29 | 0.85 | 0.40 | 13.91 | 290 | ||
19 | 1599.3 | 42.3 | 345 | 3.10 | 11.01 | 0.89 | 0.19 | 19.22 | 140 | ||
20 | 960.9 | 22.8 | 200 | 3.61 | 6.80 | 0.64 | 0.22 | 13.87 | 230 | ||
21 | Offshore (60 cm) | 581.7 | 10.2 | 202 | 2.51 | 5.12 | 0.38 | 0.19 | 11.16 | 160 | |
22 | 745.9 | 14.6 | 250 | 3.48 | 5.81 | 0.46 | 0.23 | 13.44 | 150 | ||
23 | 1418.1 | 32.6 | 235 | 3.36 | 8.17 | 0.81 | 0.18 | 16.24 | 170 | ||
24 | 577.7 | 9.5 | 181 | 2.54 | 3.89 | 0.36 | 0.15 | 10.83 | 120 | ||
Ras Al-Zour (North of Al-Khiran) | 25 | High tide (>SL = 3 m) | 344.1 | 19.0 | 20 | 2.56 | 8.30 | 0.12 | 0.98 | 0.58 | 430 |
26 | 312.5 | 32.6 | 19 | 2.73 | 9.86 | 0.19 | 1.03 | 0.72 | 570 | ||
27 | 299.7 | 24.6 | 19 | 2.63 | 9.05 | 0.25 | 1.45 | 0.70 | 70 | ||
28 | 305.2 | 19.7 | 16 | 2.70 | 7.88 | 0.21 | 1.16 | 0.56 | 330 | ||
29 | Sea level | 193.6 | 25.3 | 12 | 3.35 | 5.88 | 0.31 | 0.96 | 0.72 | 280 | |
30 | 222.3 | 20.9 | 15 | 2.66 | 7.61 | 0.19 | 1.16 | 0.59 | 140 | ||
31 | 237.1 | 26.4 | 15 | 2.59 | 7.02 | 0.18 | 1.40 | 0.67 | 230 | ||
32 | 297.7 | 20.4 | 17 | 2.77 | 8.26 | 0.19 | 1.07 | 0.67 | 70 | ||
33 | Offshore (60 cm) | 206.1 | 23.9 | 14 | 2.77 | 7.00 | 0.16 | 1.37 | 0.63 | 390 | |
34 | 232.4 | 18.9 | 13 | 8.47 | 3.79 | 0.16 | 0.77 | 0.48 | 410 | ||
35 | 267.4 | 27.3 | 15 | 2.80 | 7.06 | 0.30 | 1.40 | 0.60 | 130 | ||
36 | 440.2 | 24.2 | 23 | 4.02 | 13.69 | 0.58 | 1.59 | 0.85 | 270 | ||
Ras Al-Jula'ia | 37 | High tide (>SL = 3 m) | 331.8 | 36.2 | 18 | 6.72 | 8.99 | 0.28 | 1.96 | 0.66 | 390 |
38 | 462.3 | 24.9 | 22 | 6.43 | 9.49 | 0.29 | 1.23 | 0.56 | 370 | ||
39 | 337.4 | 17.7 | 16 | 5.20 | 6.54 | 0.25 | 0.96 | 0.43 | 580 | ||
40 | 335.7 | 20.6 | 17 | 5.93 | 5.82 | 0.21 | 0.96 | 0.41 | 270 | ||
41 | Sea level | 533.4 | 19.1 | 23 | 2.97 | 15.30 | 0.16 | 0.70 | 0.47 | 360 | |
42 | 498.5 | 24.8 | 26 | 5.40 | 14.75 | 0.32 | 0.88 | 0.65 | 480 | ||
43 | 612.7 | 26.5 | 27 | 5.27 | 16.50 | 0.22 | 1.28 | 0.58 | 570 | ||
44 | 476.7 | 20.5 | 19 | 4.08 | 10.20 | 0.32 | 0.91 | 0.43 | 680 | ||
45 | Offshore (60 cm) | 441.1 | 52.9 | 22 | 5.32 | 12.77 | 0.31 | 0.96 | 0.73 | 560 | |
46 | 477.8 | 16.8 | 22 | 4.97 | 12.43 | 0.24 | 1.10 | 0.43 | 610 | ||
47 | 450.8 | 15.5 | 20 | 5.21 | 12.07 | 0.23 | 1.02 | 0.46 | 620 | ||
48 | 437.2 | 24.2 | 25 | 4.02 | 12.69 | 0.14 | 0.95 | 0.59 | 600 |
[1] | Nour HE (2015) Distribution of hydrocarbons and heavy metals pollutants in groundwater and sediments from northwestern Libya. Indian J Geo-Mar Sci 7: 993–999. |
[2] |
Aghadadashi V, Neyestani MR, Mehdinia A, et al. (2019) Spatial distribution and vertical profile of heavy metals in marine sediments around Iran's special economic energy zone; arsenic as an enriched contaminant. Mar Pollut Bull 138: 437–450. https://doi.org/10.1016/j.marpolbul.2018.11.033 doi: 10.1016/j.marpolbul.2018.11.033
![]() |
[3] |
Chowdhury S, Mazumder M, Al-Attas O, et al. (2016) Heavy metals in drinking water: Occurrences, implications, and future needs in developing countries. Sci Total Environ 569: 476–488. https://doi.org/10.1016/j.scitotenv.2016.06.166 doi: 10.1016/j.scitotenv.2016.06.166
![]() |
[4] |
Nour HE, Nouh E. (2020) Comprehensive pollution monitoring of the Egyptian Red Sea Coast by using the environmental indicators. Environ Sci Pollut Res 27: 28813–28828. https://doi.org/10.1007/s11356-020-09079-3 doi: 10.1007/s11356-020-09079-3
![]() |
[5] |
Dótor-Almazán A, Gold-Bouchot G, Lamas-Cosío E, et al. (2022) Spatial and temporal distribution of trace metals in shallow marine sediments of the Yucatan shelf, Gulf of Mexico. Bull Environ Contam Toxicol 108: 3–8. https://doi.org/10.1007/s00128-021-03170-2 doi: 10.1007/s00128-021-03170-2
![]() |
[6] |
Gu CM, Liu Y, Liu DB, et al. (2016) Distribution and ecological assessment of heavy metals in irrigation channel sediments in a typical rural area of south China. Ecol Eng 90: 466–472. https://doi.org/10.1016/j.ecoleng.2016.01.054 doi: 10.1016/j.ecoleng.2016.01.054
![]() |
[7] |
Nour HE (2019) Assessment of heavy metals contamination in surface sediments of Sabratha, Northwest Libya. Arab J Geosci 12: 177–186. https://doi.org/10.1007/s12517-019-4343-y doi: 10.1007/s12517-019-4343-y
![]() |
[8] |
Adamo P, Arienzo M, Imperato M, et al. (2005) Distribution and partition of heavy metals in surface and subsurface sediments of Naples city port. Chemosphere 61: 800–809. https://doi.org/10.1016/j.chemosphere.2005.04.001 doi: 10.1016/j.chemosphere.2005.04.001
![]() |
[9] |
Bai JH, Cui BS, Chen B, et al. (2011) Spatial distribution and ecological risk assessment of heavy metals in surface sediments from a typical plateau lake wetland, China. Eco Model 222: 301–306. https://doi.org/10.1016/j.ecolmodel.2009.12.002 doi: 10.1016/j.ecolmodel.2009.12.002
![]() |
[10] |
Nour HE (2020) Distribution and accumulation ability of heavy metals in bivalve shells and associated sediment from Red Sea coast, Egypt. Environ Monit Assess 192: 353. https://doi.org/10.1007/s10661-020-08285-3 doi: 10.1007/s10661-020-08285-3
![]() |
[11] |
Nour HE, Nouh E (2020) Using coral skeletons for monitoring of heavy metals pollution in the Red Sea Coast, Egypt. Arab J Geosci 13: 341. https://doi.org/10.1007/s12517-020-05308-8 doi: 10.1007/s12517-020-05308-8
![]() |
[12] |
Li F, Huang JH, Zeng GM, et al. (2013) Spatial risk assessment and sources identification of heavy metals in surface sediments from the Dongting Lake, Middle China. J Geochem Explor 132: 75–83. https://doi.org/10.1016/j.gexplo.2013.05.007 doi: 10.1016/j.gexplo.2013.05.007
![]() |
[13] |
Nour HE, El-Sorogy A (2020) Heavy metals contamination in seawater, sediments and seashells of the Gulf of Suez, Egypt. Environ Earth Sci 79: 274. https://doi.org/10.1007/s12665-020-08999-0 doi: 10.1007/s12665-020-08999-0
![]() |
[14] |
Li PL (2004) Oil/gas distribution patterns in Dongying Depression, Bohai Bay Basin. J Petrol Sci Eng 41: 57–66. https://doi.org/10.1016/S0920-4105(03)00143-8 doi: 10.1016/S0920-4105(03)00143-8
![]() |
[15] |
Carman C, Li XD, Zhang G, et al. (2007) Trace metal distribution in sediments of the Pearl River Estuary and the surrounding coastal area, South China. Environ Pollut 147: 311–323. https://doi.org/10.1016/j.envpol.2006.06.028 doi: 10.1016/j.envpol.2006.06.028
![]() |
[16] |
Nour HE, Ramadan F, Aita S, et al. (2021) Assessment of sediment quality of the Qalubiya drain and adjoining soils, Eastern Nile Delta, Egypt. Arab J Geosci 14: 535. https://doi.org/10.1007/s12517-021-06891-0 doi: 10.1007/s12517-021-06891-0
![]() |
[17] |
Bastami K, Bagheri H, Haghparast S, et al. (2012) Geochemical and geo-statistical assessment of selected heavy metals in the surface sediments of the Gorgan Bay, Iran. Mar Pollut Bull 64: 2877–2884. https://doi.org/10.1016/j.marpolbul.2012.08.015 doi: 10.1016/j.marpolbul.2012.08.015
![]() |
[18] |
Weissmannová DH, Pavlovský J (2017) Indices of soil contamination by heavy metals-methodology of calculation for pollution assessment (minireview). Environ Monit Assess 189: 616. https://doi.org/10.1007/s10661-017-6340-5 doi: 10.1007/s10661-017-6340-5
![]() |
[19] |
Dou YG, Li J, Zhao JT, et al. (2013) Distribution, enrichment and source of heavy metals in surface sediments of the eastern Beibu Bay, South China Sea. Mar Pollut Bull 67: 137–145. https://doi.org/10.1016/j.marpolbul.2012.11.022 doi: 10.1016/j.marpolbul.2012.11.022
![]() |
[20] |
Duodu G, Goonetilleke A, Ayoko G (2016) Comparison of pollution indices for the assessment of heavy metal in Brisbane River sediment. Environ Pollut 219: 1077–1091. https://doi.org/10.1016/j.envpol.2016.09.008 doi: 10.1016/j.envpol.2016.09.008
![]() |
[21] |
Han Q, Wang MS, Cao JL, et al. (2020) Health risk assessment and bioaccessibilities of heavy metals for children in soil and dust from urban parks and schools of Jiaozuo, China. Ecotox Environ Safe 191: 110157. https://doi.org/10.1016/j.ecoenv.2019.110157 doi: 10.1016/j.ecoenv.2019.110157
![]() |
[22] |
Rahman M, Ahmed Z, Seefat S, et al. (2021) Assessment of heavy metal contamination in sediment at the newly established tannery industrial Estate in Bangladesh: A case study. Environ Chem Ecotoxicol 4: 1–12. https://doi.org/10.1016/j.enceco.2021.10.001 doi: 10.1016/j.enceco.2021.10.001
![]() |
[23] |
Al-Sarawi H, Jha A, Al-Sarawi M, et al. (2015) Historic and contemporary contamination in the marine environment of Kuwait: An overview. Mar Pollut Bull 100: 621–628. https://doi.org/10.1016/j.marpolbul.2015.07.052 doi: 10.1016/j.marpolbul.2015.07.052
![]() |
[24] | IAEA, Contaminant Screening Project. Second Mission and Final Report, 1998. Available from: https://inis.iaea.org/collection/NCLCollectionStore/_Public/23/015/23015304.pdf. |
[25] |
de Mora S, Fowler S, Wyse E, et al. (2004) Distribution of heavy metals in marine bivalves, fish and coastal sediments in the Gulf and Gulf of Oman. Mar Pollut Bull 49: 410–424. https://doi.org/10.1016/j.marpolbul.2004.02.029 doi: 10.1016/j.marpolbul.2004.02.029
![]() |
[26] |
Nour HE (2019) Distribution, ecological risk, and source analysis of heavy metals in recent beach sediments of Sharm El-Sheikh, Egypt. Environ Monit Assess 191: 546. https://doi.org/10.1007/s10661-019-7728-1 doi: 10.1007/s10661-019-7728-1
![]() |
[27] |
Nour HE, El-Sorogy A (2017) Distribution and enrichment of heavy metals in Sabratha coastal sediments, Mediterranean Sea, Libya. J Afr Earth Sci 134: 222–229. https://doi.org/10.1016/j.jafrearsci.2017.06.019 doi: 10.1016/j.jafrearsci.2017.06.019
![]() |
[28] |
de Mora S, Sheikholeslami M, Wyse E, et al. (2004) An assessment of metal contamination in coastal sediments of the Caspian Sea. Mar Pollut Bull 48: 61–77. https://doi.org/10.1016/S0025-326X(03)00285-6 doi: 10.1016/S0025-326X(03)00285-6
![]() |
[29] | United States Environmental Protection Agency, The Role of Screening-level Sisk Assessments and Refining Contaminants of Concern in Baseline Ecological Risk Assessments, 2001. Available from: https://www.epa.gov/sites/default/files/2015-09/documents/slera0601.pdf. |
[30] | Muller G (1979) Heavy-metals in sediment of the Rhine-changes since 1971. Umsch Wiss Tech 79: 778–783. |
[31] |
Jahan S, Strezov V (2018) Comparison of pollution indices for the assessment of heavy metals in the sediments of seaports of NSW, Australia. Mar Pollut Bull 128: 295–306. https://doi.org/10.1016/j.marpolbul.2018.01.036 doi: 10.1016/j.marpolbul.2018.01.036
![]() |
[32] |
Singh M, Muller G, Singh I (2002) Heavy metals in freshly deposited stream sediments of rivers associated with urbanisation of the Ganga Plain, India. Water Air Soil Poll 141: 35–54. https://doi.org/10.1023/A:1021339917643 doi: 10.1023/A:1021339917643
![]() |
[33] |
Swarnalatha K, Letha J, Ayoob S, et al. (2015) Risk assessment of heavy metal contamination in sediments of a tropical lake. Environ Monit Assess 187: 322. https://doi.org/10.1007/s10661-015-4558-7 doi: 10.1007/s10661-015-4558-7
![]() |
[34] |
Nour HE, Helal S, Wahab MA (2022) Contamination and health risk assessment of heavy metals in beach sediments of Red Sea and Gulf of Aqaba, Egypt. Mar Pollut Bull 177: 113517. https://doi.org/10.1016/j.marpolbul.2022.113517 doi: 10.1016/j.marpolbul.2022.113517
![]() |
[35] |
Li R, Tang XQ, Guo WJ, et al. (2020) Spatiotemporal distribution dynamics of heavy metals in water, sediment, and zoobenthos in mainstream sections of the middle and lower Changjiang River. Sci Total Environ 714: 136779. https://doi.org/10.1016/j.scitotenv.2020.136779 doi: 10.1016/j.scitotenv.2020.136779
![]() |
[36] |
Nour HE, Ramadan F, Alsubaie K, et al. (2022) Seasonal variation and assessment of heavy metals in coastal seawater of Kuwait Bay, northeast coast of Kuwait. EnvironmentAsia 15: 108–119. https://doi.org/10.14456/ea.2022.38 doi: 10.14456/ea.2022.38
![]() |
[37] |
Wang Q, Chen QY, Yan D, et al. (2008) Distribution, ecological risk, and source analysis of heavy metals in sediments of Taizihe River, China. Environ Earth Sci 77: 569. https://doi.org/10.1007/s12665-018-7750-6 doi: 10.1007/s12665-018-7750-6
![]() |
[38] |
Nour HE, Alshehri F, Sahour H, et al. (2022) Assessment of heavy metal contamination and health risk in the coastal sediments of Suez Bay, Gulf of Suez, Egypt. J Afr Earth Sci 195: 104663. https://doi.org/10.1016/j.jafrearsci.2022.104663 doi: 10.1016/j.jafrearsci.2022.104663
![]() |
1. | Parameswari Somasundharanair Lyla, Seerangan Manokaran, Syed Ajmalkhan, Kapuli Gani Mohamed Thameemul Ansari, Sanjeeve Raja, Omer Reshi, Spatial analysis, ecological risk assessment, control factors, and sources of heavy metal pollution in the shelf surface sediments of the southwest Bay of Bengal, India, 2022, 56, 23524855, 102705, 10.1016/j.rsma.2022.102705 | |
2. | Md. Shiman Rusdi, Md. Rezaul Karim, Shahadat Hossain, Md Didarul Alam Chowdhury, Mohammad Saifur Rahman, Imtehan Nur Rifat, Hamid Osman, Mayeen Uddin Khandaker, Spatial distribution of heavy metal in sands and sediments of Parki Beach, Chattogram, Bangladesh, 2024, 196, 0167-6369, 10.1007/s10661-024-13399-z | |
3. | Wenlong Deng, Qigui Mo, Zhihao Wei, Yi Guo, Jiaqi Liu, Weihong Xue, Yahan Liu, Zhangcan Zeng, Yanting Su, Surui Lu, Biological remediation mechanism and applications of Rhodotorula mucilaginosa for heavy metal pollution, 2025, 38, 23521864, 104179, 10.1016/j.eti.2025.104179 |
Studied area /background | Fe | Mn | Cu | Pb | Ni | Cd | Co | Cr | References |
South Kuwait coast | 598.60 | 21.98 | 130.35 | 4.06 | 9.31 | 0.70 | 0.42 | 9.69 | Present work |
Sulaibikhat Bay, Kuwait | 10–100 | 2.0–32.0 | 25–130 | 2.00–4.0 | 65–190 | [23] | |||
Iran coast | 19–45 | 7.6–15 | 98–200 | 93–184 | [24] | ||||
Arabian Gulf, Bahrain | 471–6475 | 22.6–84.3 | 2.4–48.3 | 0.7–99 | 2.46–23.2 | 0.04–0.2 | 0.17–2.43 | [25] | |
Sharm El-Sheikh, Egypt | 2629 | 428 | 30 | 32.4 | 45 | 2.53 | 1.95 | [26] | |
Mediterranean coast, Libya | 2048 | 34.07 | 17.1 | 11.1 | 21.9 | 0.81 | 5.8 | [27] | |
Caspian Sea, Russia | 5520 | 200 | 8.3 | 4.19 | 14 | 0.06 | 3.8 | [28] | |
Lowest effect level (LEL) | 20000 | 460 | 16 | 31 | 16 | 26 | [29] | ||
Severe effect level (SEL) | 40000 | 1100 | 110 | 250 | 75 | 110 |
Site | Igeo | EF | CF | SPI | |||||||||
Min. | Max. | Aver. | Min. | Max. | Aver. | Min. | Max. | Aver. | Min. | Max. | Aver. | ||
Hadd al Hamara | Fe | −6.83 | −5.89 | −6.55 | 0.013 | 0.025 | 0.016 | ||||||
Mn | −6.55 | −5.27 | −6.03 | 1.21 | 1.69 | 1.45 | 0.016 | 0.039 | 0.024 | 0.02 | 0.06 | 0.03 | |
Cu | 1.14 | 2.38 | 1.68 | 172.1 | 553.5 | 330.3 | 3.302 | 7.782 | 5.002 | 4.95 | 11.67 | 7.50 | |
Pb | −3.44 | −2.09 | −2.81 | 9.61 | 19.90 | 14.04 | 0.138 | 0.353 | 0.225 | 0.28 | 0.71 | 0.45 | |
Ni | −4.83 | −2.25 | −3.60 | 3.28 | 22.88 | 10.54 | 0.053 | 0.314 | 0.154 | 0.09 | 0.53 | 0.26 | |
Co | −6.42 | −4.95 | −5.67 | 1.19 | 3.54 | 2.08 | 0.017 | 0.049 | 0.031 | 0.04 | 0.12 | 0.07 | |
Cd | −2.03 | 0.01 | −1.18 | 22.2 | 103.1 | 48.0 | 0.368 | 1.507 | 0.736 | 1.84 | 7.53 | 3.68 | |
Cr | −3.97 | −1.55 | −2.85 | 5.16 | 37.24 | 17.37 | 0.096 | 0.512 | 0.255 | 0.09 | 0.46 | 0.23 | |
Al-Khiran | Fe | −6.94 | −5.47 | −6.35 | 0.012 | 0.034 | 0.020 | ||||||
Mn | −7.07 | −4.91 | −6.18 | 0.90 | 1.47 | 1.14 | 0.011 | 0.050 | 0.024 | 0.02 | 0.07 | 0.03 | |
Cu | 1.42 | 2.65 | 1.93 | 172.9 | 532.2 | 335.0 | 4.017 | 9.404 | 5.957 | 6.03 | 14.11 | 8.94 | |
Pb | −3.99 | −2.51 | −3.21 | 4.57 | 16.42 | 9.69 | 0.095 | 0.264 | 0.170 | 0.19 | 0.53 | 0.34 | |
Ni | −4.71 | −2.96 | −3.82 | 4.00 | 10.28 | 6.28 | 0.057 | 0.192 | 0.115 | 0.10 | 0.33 | 0.19 | |
Co | −6.31 | −4.88 | −5.64 | 1.38 | 2.24 | 1.70 | 0.019 | 0.051 | 0.032 | 0.04 | 0.12 | 0.08 | |
Cd | −1.87 | 1.23 | −0.76 | 18.87 | 257.28 | 72.30 | 0.412 | 3.525 | 1.178 | 2.06 | 17.62 | 5.89 | |
Cr | −3.64 | −2.46 | −3.16 | 5.75 | 13.49 | 9.56 | 0.120 | 0.273 | 0.174 | 0.11 | 0.25 | 0.16 | |
Ras Al-Zour | Fe | −8.51 | −7.33 | −8.01 | 0.004 | 0.009 | 0.006 | ||||||
Mn | −6.08 | −5.29 | −5.76 | 3.06 | 7.26 | 4.96 | 0.022 | 0.038 | 0.028 | 0.03 | 0.05 | 0.04 | |
Cu | −2.47 | −1.53 | −2.04 | 55.64 | 71.29 | 62.96 | 0.271 | 0.519 | 0.372 | 0.41 | 0.78 | 0.56 | |
Pb | −3.55 | −1.82 | −3.18 | 17.53 | 86.05 | 33.15 | 0.128 | 0.424 | 0.182 | 0.26 | 0.85 | 0.36 | |
Ni | −4.75 | −2.90 | −3.75 | 11.32 | 23.77 | 19.44 | 0.056 | 0.201 | 0.119 | 0.09 | 0.34 | 0.20 | |
Co | −7.85 | −5.62 | −6.99 | 0.89 | 3.94 | 2.16 | 0.006 | 0.030 | 0.013 | 0.02 | 0.07 | 0.03 | |
Cd | 0.78 | 1.83 | 1.37 | 448.8 | 1043.4 | 705.7 | 2.570 | 5.316 | 3.981 | 12.85 | 26.58 | 19.90 | |
Cr | −8.13 | −7.31 | −7.72 | 0.88 | 1.94 | 1.28 | 0.005 | 0.009 | 0.007 | 0.00 | 0.01 | 0.01 | |
Ras Al-Jula'ia | Fe | −7.74 | −6.85 | −7.32 | 0.007 | 0.013 | 0.010 | ||||||
Mn | −6.36 | −4.59 | −5.72 | 1.91 | 6.67 | 3.36 | 0.018 | 0.062 | 0.031 | 0.03 | 0.09 | 0.04 | |
Cu | −2.11 | −1.30 | −1.68 | 41.36 | 58.90 | 50.28 | 0.348 | 0.608 | 0.476 | 0.52 | 0.91 | 0.71 | |
Pb | −3.34 | −2.16 | −2.60 | 13.15 | 47.80 | 28.63 | 0.149 | 0.336 | 0.254 | 0.30 | 0.67 | 0.51 | |
Ni | −4.13 | −2.63 | −3.24 | 12.04 | 20.53 | 17.28 | 0.086 | 0.243 | 0.168 | 0.15 | 0.41 | 0.29 | |
Co | −7.70 | −6.45 | −6.93 | 0.75 | 2.10 | 1.41 | 0.007 | 0.017 | 0.013 | 0.02 | 0.04 | 0.03 | |
Cd | 0.64 | 2.12 | 1.24 | 206.8 | 930.9 | 421.6 | 2.337 | 6.543 | 3.710 | 11.68 | 32.72 | 18.55 | |
Cr | −8.36 | −7.53 | −8.00 | 0.46 | 1.05 | 0.66 | 0.005 | 0.008 | 0.006 | 0.00 | 0.01 | 0.01 |
Fe | Mn | Cu | Pb | Ni | Co | Cd | Cr | TOM | |
Fe | 1.00 | ||||||||
Mn | 0.207 | 1.00 | |||||||
Cu | 0.734** | −0.24 | 1.00 | ||||||
Pb | 0.054 | 0.217 | −0.10 | 1.00 | |||||
Ni | 0.045 | 0.105 | 0.025 | −0.04 | 1.00 | ||||
Co | 0.778** | 0.056 | 0.770** | −0.02 | 0.366* | 1.00 | |||
Cd | −0.656** | 0.310* | −0.751** | 0.118 | 0.123 | −0.558** | 1.00 | ||
Cr | 0.518** | −0.24 | 0.754** | −0.14 | 0.455** | 0.844** | −0.646** | 1.00 | |
TOM | −0.314* | 0.195 | −0.510** | 0.265 | 0.410** | −0.310* | 0.372** | −0.28 | 1.00 |
Note: **: Correlation is significant at the 0.01 level (2-tailed); *: Correlation is significant at the 0.05 level (2-tailed). |
Component matrixa | |||
Component | |||
1 | 2 | 3 | |
Fe | 0.806 | 0.181 | 0.424 |
Mn | −0.190 | 0.543 | 0.601 |
Cu | 0.932 | −0.103 | 0.052 |
Pb | −0.149 | 0.373 | 0.559 |
Ni | 0.148 | 0.790 | −0.534 |
Co | 0.889 | 0.342 | 0.039 |
Cd | −0.822 | 0.231 | −0.046 |
Cr | 0.869 | 0.224 | −0.322 |
TOM | −0.509 | 0.623 | −0.184 |
% of Variance | 45.36 | 18.99 | 14.25 |
Cumulative% | 45.36 | 64.34 | 78.59 |
Note: Extraction method: principal component analysis. a: 3 components extracted. |
Site | SN | depth | Fe | Mn | Cu | Pb | Ni | Co | Cd | Cr | TOM |
Hadd al Hamara (south of Al-Khiran) | 1 | High tide (>SL = 3 m) | 679.4 | 18.1 | 200 | 2.77 | 4.74 | 0.33 | 0.11 | 9.88 | 170 |
2 | 876.5 | 25.0 | 149 | 4.06 | 4.58 | 0.43 | 0.12 | 8.62 | 330 | ||
3 | 1191.7 | 33.0 | 216 | 6.32 | 5.63 | 0.57 | 0.26 | 13.57 | 160 | ||
4 | 671.2 | 16.7 | 267 | 4.00 | 5.89 | 0.40 | 0.23 | 14.54 | 100 | ||
5 | Sea level | 663.6 | 18.7 | 350 | 4.99 | 9.30 | 0.53 | 0.21 | 17.73 | 250 | |
6 | 1033.4 | 26.5 | 170 | 7.05 | 5.71 | 0.66 | 0.20 | 13.07 | 160 | ||
7 | 621.6 | 13.6 | 254 | 4.63 | 6.48 | 0.40 | 0.14 | 13.49 | 130 | ||
8 | 641.5 | 16.9 | 149 | 5.41 | 3.60 | 0.40 | 0.19 | 11.12 | 160 | ||
9 | Offshore (60 cm) | 689.4 | 21.0 | 189 | 4.12 | 15.65 | 0.85 | 0.31 | 33.78 | 190 | |
10 | 652.9 | 15.6 | 198 | 3.39 | 19.84 | 0.79 | 0.16 | 43.01 | 210 | ||
11 | 648.4 | 15.7 | 251 | 3.12 | 21.37 | 0.92 | 0.16 | 46.04 | 600 | ||
12 | 689.5 | 17.3 | 260 | 3.18 | 18.96 | 0.82 | 0.45 | 42.08 | 280 | ||
Al-Khiran | 13 | High tide (>SL = 3 m) | 625.8 | 12.8 | 197 | 3.18 | 5.71 | 0.39 | 0.21 | 11.87 | 190 |
14 | 1090.8 | 20.2 | 423 | 5.27 | 13.08 | 0.97 | 0.60 | 24.60 | 190 | ||
15 | 824.6 | 16.8 | 310 | 3.57 | 9.33 | 0.54 | 0.23 | 18.08 | 110 | ||
16 | 646.6 | 12.6 | 328 | 4.50 | 9.58 | 0.58 | 1.06 | 16.64 | 160 | ||
17 | Sea level | 580.8 | 9.5 | 268 | 1.89 | 5.35 | 0.39 | 0.12 | 14.18 | 160 | |
18 | 1267.7 | 29.8 | 209 | 3.43 | 8.29 | 0.85 | 0.40 | 13.91 | 290 | ||
19 | 1599.3 | 42.3 | 345 | 3.10 | 11.01 | 0.89 | 0.19 | 19.22 | 140 | ||
20 | 960.9 | 22.8 | 200 | 3.61 | 6.80 | 0.64 | 0.22 | 13.87 | 230 | ||
21 | Offshore (60 cm) | 581.7 | 10.2 | 202 | 2.51 | 5.12 | 0.38 | 0.19 | 11.16 | 160 | |
22 | 745.9 | 14.6 | 250 | 3.48 | 5.81 | 0.46 | 0.23 | 13.44 | 150 | ||
23 | 1418.1 | 32.6 | 235 | 3.36 | 8.17 | 0.81 | 0.18 | 16.24 | 170 | ||
24 | 577.7 | 9.5 | 181 | 2.54 | 3.89 | 0.36 | 0.15 | 10.83 | 120 | ||
Ras Al-Zour (North of Al-Khiran) | 25 | High tide (>SL = 3 m) | 344.1 | 19.0 | 20 | 2.56 | 8.30 | 0.12 | 0.98 | 0.58 | 430 |
26 | 312.5 | 32.6 | 19 | 2.73 | 9.86 | 0.19 | 1.03 | 0.72 | 570 | ||
27 | 299.7 | 24.6 | 19 | 2.63 | 9.05 | 0.25 | 1.45 | 0.70 | 70 | ||
28 | 305.2 | 19.7 | 16 | 2.70 | 7.88 | 0.21 | 1.16 | 0.56 | 330 | ||
29 | Sea level | 193.6 | 25.3 | 12 | 3.35 | 5.88 | 0.31 | 0.96 | 0.72 | 280 | |
30 | 222.3 | 20.9 | 15 | 2.66 | 7.61 | 0.19 | 1.16 | 0.59 | 140 | ||
31 | 237.1 | 26.4 | 15 | 2.59 | 7.02 | 0.18 | 1.40 | 0.67 | 230 | ||
32 | 297.7 | 20.4 | 17 | 2.77 | 8.26 | 0.19 | 1.07 | 0.67 | 70 | ||
33 | Offshore (60 cm) | 206.1 | 23.9 | 14 | 2.77 | 7.00 | 0.16 | 1.37 | 0.63 | 390 | |
34 | 232.4 | 18.9 | 13 | 8.47 | 3.79 | 0.16 | 0.77 | 0.48 | 410 | ||
35 | 267.4 | 27.3 | 15 | 2.80 | 7.06 | 0.30 | 1.40 | 0.60 | 130 | ||
36 | 440.2 | 24.2 | 23 | 4.02 | 13.69 | 0.58 | 1.59 | 0.85 | 270 | ||
Ras Al-Jula'ia | 37 | High tide (>SL = 3 m) | 331.8 | 36.2 | 18 | 6.72 | 8.99 | 0.28 | 1.96 | 0.66 | 390 |
38 | 462.3 | 24.9 | 22 | 6.43 | 9.49 | 0.29 | 1.23 | 0.56 | 370 | ||
39 | 337.4 | 17.7 | 16 | 5.20 | 6.54 | 0.25 | 0.96 | 0.43 | 580 | ||
40 | 335.7 | 20.6 | 17 | 5.93 | 5.82 | 0.21 | 0.96 | 0.41 | 270 | ||
41 | Sea level | 533.4 | 19.1 | 23 | 2.97 | 15.30 | 0.16 | 0.70 | 0.47 | 360 | |
42 | 498.5 | 24.8 | 26 | 5.40 | 14.75 | 0.32 | 0.88 | 0.65 | 480 | ||
43 | 612.7 | 26.5 | 27 | 5.27 | 16.50 | 0.22 | 1.28 | 0.58 | 570 | ||
44 | 476.7 | 20.5 | 19 | 4.08 | 10.20 | 0.32 | 0.91 | 0.43 | 680 | ||
45 | Offshore (60 cm) | 441.1 | 52.9 | 22 | 5.32 | 12.77 | 0.31 | 0.96 | 0.73 | 560 | |
46 | 477.8 | 16.8 | 22 | 4.97 | 12.43 | 0.24 | 1.10 | 0.43 | 610 | ||
47 | 450.8 | 15.5 | 20 | 5.21 | 12.07 | 0.23 | 1.02 | 0.46 | 620 | ||
48 | 437.2 | 24.2 | 25 | 4.02 | 12.69 | 0.14 | 0.95 | 0.59 | 600 |
Studied area /background | Fe | Mn | Cu | Pb | Ni | Cd | Co | Cr | References |
South Kuwait coast | 598.60 | 21.98 | 130.35 | 4.06 | 9.31 | 0.70 | 0.42 | 9.69 | Present work |
Sulaibikhat Bay, Kuwait | 10–100 | 2.0–32.0 | 25–130 | 2.00–4.0 | 65–190 | [23] | |||
Iran coast | 19–45 | 7.6–15 | 98–200 | 93–184 | [24] | ||||
Arabian Gulf, Bahrain | 471–6475 | 22.6–84.3 | 2.4–48.3 | 0.7–99 | 2.46–23.2 | 0.04–0.2 | 0.17–2.43 | [25] | |
Sharm El-Sheikh, Egypt | 2629 | 428 | 30 | 32.4 | 45 | 2.53 | 1.95 | [26] | |
Mediterranean coast, Libya | 2048 | 34.07 | 17.1 | 11.1 | 21.9 | 0.81 | 5.8 | [27] | |
Caspian Sea, Russia | 5520 | 200 | 8.3 | 4.19 | 14 | 0.06 | 3.8 | [28] | |
Lowest effect level (LEL) | 20000 | 460 | 16 | 31 | 16 | 26 | [29] | ||
Severe effect level (SEL) | 40000 | 1100 | 110 | 250 | 75 | 110 |
Site | Igeo | EF | CF | SPI | |||||||||
Min. | Max. | Aver. | Min. | Max. | Aver. | Min. | Max. | Aver. | Min. | Max. | Aver. | ||
Hadd al Hamara | Fe | −6.83 | −5.89 | −6.55 | 0.013 | 0.025 | 0.016 | ||||||
Mn | −6.55 | −5.27 | −6.03 | 1.21 | 1.69 | 1.45 | 0.016 | 0.039 | 0.024 | 0.02 | 0.06 | 0.03 | |
Cu | 1.14 | 2.38 | 1.68 | 172.1 | 553.5 | 330.3 | 3.302 | 7.782 | 5.002 | 4.95 | 11.67 | 7.50 | |
Pb | −3.44 | −2.09 | −2.81 | 9.61 | 19.90 | 14.04 | 0.138 | 0.353 | 0.225 | 0.28 | 0.71 | 0.45 | |
Ni | −4.83 | −2.25 | −3.60 | 3.28 | 22.88 | 10.54 | 0.053 | 0.314 | 0.154 | 0.09 | 0.53 | 0.26 | |
Co | −6.42 | −4.95 | −5.67 | 1.19 | 3.54 | 2.08 | 0.017 | 0.049 | 0.031 | 0.04 | 0.12 | 0.07 | |
Cd | −2.03 | 0.01 | −1.18 | 22.2 | 103.1 | 48.0 | 0.368 | 1.507 | 0.736 | 1.84 | 7.53 | 3.68 | |
Cr | −3.97 | −1.55 | −2.85 | 5.16 | 37.24 | 17.37 | 0.096 | 0.512 | 0.255 | 0.09 | 0.46 | 0.23 | |
Al-Khiran | Fe | −6.94 | −5.47 | −6.35 | 0.012 | 0.034 | 0.020 | ||||||
Mn | −7.07 | −4.91 | −6.18 | 0.90 | 1.47 | 1.14 | 0.011 | 0.050 | 0.024 | 0.02 | 0.07 | 0.03 | |
Cu | 1.42 | 2.65 | 1.93 | 172.9 | 532.2 | 335.0 | 4.017 | 9.404 | 5.957 | 6.03 | 14.11 | 8.94 | |
Pb | −3.99 | −2.51 | −3.21 | 4.57 | 16.42 | 9.69 | 0.095 | 0.264 | 0.170 | 0.19 | 0.53 | 0.34 | |
Ni | −4.71 | −2.96 | −3.82 | 4.00 | 10.28 | 6.28 | 0.057 | 0.192 | 0.115 | 0.10 | 0.33 | 0.19 | |
Co | −6.31 | −4.88 | −5.64 | 1.38 | 2.24 | 1.70 | 0.019 | 0.051 | 0.032 | 0.04 | 0.12 | 0.08 | |
Cd | −1.87 | 1.23 | −0.76 | 18.87 | 257.28 | 72.30 | 0.412 | 3.525 | 1.178 | 2.06 | 17.62 | 5.89 | |
Cr | −3.64 | −2.46 | −3.16 | 5.75 | 13.49 | 9.56 | 0.120 | 0.273 | 0.174 | 0.11 | 0.25 | 0.16 | |
Ras Al-Zour | Fe | −8.51 | −7.33 | −8.01 | 0.004 | 0.009 | 0.006 | ||||||
Mn | −6.08 | −5.29 | −5.76 | 3.06 | 7.26 | 4.96 | 0.022 | 0.038 | 0.028 | 0.03 | 0.05 | 0.04 | |
Cu | −2.47 | −1.53 | −2.04 | 55.64 | 71.29 | 62.96 | 0.271 | 0.519 | 0.372 | 0.41 | 0.78 | 0.56 | |
Pb | −3.55 | −1.82 | −3.18 | 17.53 | 86.05 | 33.15 | 0.128 | 0.424 | 0.182 | 0.26 | 0.85 | 0.36 | |
Ni | −4.75 | −2.90 | −3.75 | 11.32 | 23.77 | 19.44 | 0.056 | 0.201 | 0.119 | 0.09 | 0.34 | 0.20 | |
Co | −7.85 | −5.62 | −6.99 | 0.89 | 3.94 | 2.16 | 0.006 | 0.030 | 0.013 | 0.02 | 0.07 | 0.03 | |
Cd | 0.78 | 1.83 | 1.37 | 448.8 | 1043.4 | 705.7 | 2.570 | 5.316 | 3.981 | 12.85 | 26.58 | 19.90 | |
Cr | −8.13 | −7.31 | −7.72 | 0.88 | 1.94 | 1.28 | 0.005 | 0.009 | 0.007 | 0.00 | 0.01 | 0.01 | |
Ras Al-Jula'ia | Fe | −7.74 | −6.85 | −7.32 | 0.007 | 0.013 | 0.010 | ||||||
Mn | −6.36 | −4.59 | −5.72 | 1.91 | 6.67 | 3.36 | 0.018 | 0.062 | 0.031 | 0.03 | 0.09 | 0.04 | |
Cu | −2.11 | −1.30 | −1.68 | 41.36 | 58.90 | 50.28 | 0.348 | 0.608 | 0.476 | 0.52 | 0.91 | 0.71 | |
Pb | −3.34 | −2.16 | −2.60 | 13.15 | 47.80 | 28.63 | 0.149 | 0.336 | 0.254 | 0.30 | 0.67 | 0.51 | |
Ni | −4.13 | −2.63 | −3.24 | 12.04 | 20.53 | 17.28 | 0.086 | 0.243 | 0.168 | 0.15 | 0.41 | 0.29 | |
Co | −7.70 | −6.45 | −6.93 | 0.75 | 2.10 | 1.41 | 0.007 | 0.017 | 0.013 | 0.02 | 0.04 | 0.03 | |
Cd | 0.64 | 2.12 | 1.24 | 206.8 | 930.9 | 421.6 | 2.337 | 6.543 | 3.710 | 11.68 | 32.72 | 18.55 | |
Cr | −8.36 | −7.53 | −8.00 | 0.46 | 1.05 | 0.66 | 0.005 | 0.008 | 0.006 | 0.00 | 0.01 | 0.01 |
Fe | Mn | Cu | Pb | Ni | Co | Cd | Cr | TOM | |
Fe | 1.00 | ||||||||
Mn | 0.207 | 1.00 | |||||||
Cu | 0.734** | −0.24 | 1.00 | ||||||
Pb | 0.054 | 0.217 | −0.10 | 1.00 | |||||
Ni | 0.045 | 0.105 | 0.025 | −0.04 | 1.00 | ||||
Co | 0.778** | 0.056 | 0.770** | −0.02 | 0.366* | 1.00 | |||
Cd | −0.656** | 0.310* | −0.751** | 0.118 | 0.123 | −0.558** | 1.00 | ||
Cr | 0.518** | −0.24 | 0.754** | −0.14 | 0.455** | 0.844** | −0.646** | 1.00 | |
TOM | −0.314* | 0.195 | −0.510** | 0.265 | 0.410** | −0.310* | 0.372** | −0.28 | 1.00 |
Note: **: Correlation is significant at the 0.01 level (2-tailed); *: Correlation is significant at the 0.05 level (2-tailed). |
Component matrixa | |||
Component | |||
1 | 2 | 3 | |
Fe | 0.806 | 0.181 | 0.424 |
Mn | −0.190 | 0.543 | 0.601 |
Cu | 0.932 | −0.103 | 0.052 |
Pb | −0.149 | 0.373 | 0.559 |
Ni | 0.148 | 0.790 | −0.534 |
Co | 0.889 | 0.342 | 0.039 |
Cd | −0.822 | 0.231 | −0.046 |
Cr | 0.869 | 0.224 | −0.322 |
TOM | −0.509 | 0.623 | −0.184 |
% of Variance | 45.36 | 18.99 | 14.25 |
Cumulative% | 45.36 | 64.34 | 78.59 |
Note: Extraction method: principal component analysis. a: 3 components extracted. |
Site | SN | depth | Fe | Mn | Cu | Pb | Ni | Co | Cd | Cr | TOM |
Hadd al Hamara (south of Al-Khiran) | 1 | High tide (>SL = 3 m) | 679.4 | 18.1 | 200 | 2.77 | 4.74 | 0.33 | 0.11 | 9.88 | 170 |
2 | 876.5 | 25.0 | 149 | 4.06 | 4.58 | 0.43 | 0.12 | 8.62 | 330 | ||
3 | 1191.7 | 33.0 | 216 | 6.32 | 5.63 | 0.57 | 0.26 | 13.57 | 160 | ||
4 | 671.2 | 16.7 | 267 | 4.00 | 5.89 | 0.40 | 0.23 | 14.54 | 100 | ||
5 | Sea level | 663.6 | 18.7 | 350 | 4.99 | 9.30 | 0.53 | 0.21 | 17.73 | 250 | |
6 | 1033.4 | 26.5 | 170 | 7.05 | 5.71 | 0.66 | 0.20 | 13.07 | 160 | ||
7 | 621.6 | 13.6 | 254 | 4.63 | 6.48 | 0.40 | 0.14 | 13.49 | 130 | ||
8 | 641.5 | 16.9 | 149 | 5.41 | 3.60 | 0.40 | 0.19 | 11.12 | 160 | ||
9 | Offshore (60 cm) | 689.4 | 21.0 | 189 | 4.12 | 15.65 | 0.85 | 0.31 | 33.78 | 190 | |
10 | 652.9 | 15.6 | 198 | 3.39 | 19.84 | 0.79 | 0.16 | 43.01 | 210 | ||
11 | 648.4 | 15.7 | 251 | 3.12 | 21.37 | 0.92 | 0.16 | 46.04 | 600 | ||
12 | 689.5 | 17.3 | 260 | 3.18 | 18.96 | 0.82 | 0.45 | 42.08 | 280 | ||
Al-Khiran | 13 | High tide (>SL = 3 m) | 625.8 | 12.8 | 197 | 3.18 | 5.71 | 0.39 | 0.21 | 11.87 | 190 |
14 | 1090.8 | 20.2 | 423 | 5.27 | 13.08 | 0.97 | 0.60 | 24.60 | 190 | ||
15 | 824.6 | 16.8 | 310 | 3.57 | 9.33 | 0.54 | 0.23 | 18.08 | 110 | ||
16 | 646.6 | 12.6 | 328 | 4.50 | 9.58 | 0.58 | 1.06 | 16.64 | 160 | ||
17 | Sea level | 580.8 | 9.5 | 268 | 1.89 | 5.35 | 0.39 | 0.12 | 14.18 | 160 | |
18 | 1267.7 | 29.8 | 209 | 3.43 | 8.29 | 0.85 | 0.40 | 13.91 | 290 | ||
19 | 1599.3 | 42.3 | 345 | 3.10 | 11.01 | 0.89 | 0.19 | 19.22 | 140 | ||
20 | 960.9 | 22.8 | 200 | 3.61 | 6.80 | 0.64 | 0.22 | 13.87 | 230 | ||
21 | Offshore (60 cm) | 581.7 | 10.2 | 202 | 2.51 | 5.12 | 0.38 | 0.19 | 11.16 | 160 | |
22 | 745.9 | 14.6 | 250 | 3.48 | 5.81 | 0.46 | 0.23 | 13.44 | 150 | ||
23 | 1418.1 | 32.6 | 235 | 3.36 | 8.17 | 0.81 | 0.18 | 16.24 | 170 | ||
24 | 577.7 | 9.5 | 181 | 2.54 | 3.89 | 0.36 | 0.15 | 10.83 | 120 | ||
Ras Al-Zour (North of Al-Khiran) | 25 | High tide (>SL = 3 m) | 344.1 | 19.0 | 20 | 2.56 | 8.30 | 0.12 | 0.98 | 0.58 | 430 |
26 | 312.5 | 32.6 | 19 | 2.73 | 9.86 | 0.19 | 1.03 | 0.72 | 570 | ||
27 | 299.7 | 24.6 | 19 | 2.63 | 9.05 | 0.25 | 1.45 | 0.70 | 70 | ||
28 | 305.2 | 19.7 | 16 | 2.70 | 7.88 | 0.21 | 1.16 | 0.56 | 330 | ||
29 | Sea level | 193.6 | 25.3 | 12 | 3.35 | 5.88 | 0.31 | 0.96 | 0.72 | 280 | |
30 | 222.3 | 20.9 | 15 | 2.66 | 7.61 | 0.19 | 1.16 | 0.59 | 140 | ||
31 | 237.1 | 26.4 | 15 | 2.59 | 7.02 | 0.18 | 1.40 | 0.67 | 230 | ||
32 | 297.7 | 20.4 | 17 | 2.77 | 8.26 | 0.19 | 1.07 | 0.67 | 70 | ||
33 | Offshore (60 cm) | 206.1 | 23.9 | 14 | 2.77 | 7.00 | 0.16 | 1.37 | 0.63 | 390 | |
34 | 232.4 | 18.9 | 13 | 8.47 | 3.79 | 0.16 | 0.77 | 0.48 | 410 | ||
35 | 267.4 | 27.3 | 15 | 2.80 | 7.06 | 0.30 | 1.40 | 0.60 | 130 | ||
36 | 440.2 | 24.2 | 23 | 4.02 | 13.69 | 0.58 | 1.59 | 0.85 | 270 | ||
Ras Al-Jula'ia | 37 | High tide (>SL = 3 m) | 331.8 | 36.2 | 18 | 6.72 | 8.99 | 0.28 | 1.96 | 0.66 | 390 |
38 | 462.3 | 24.9 | 22 | 6.43 | 9.49 | 0.29 | 1.23 | 0.56 | 370 | ||
39 | 337.4 | 17.7 | 16 | 5.20 | 6.54 | 0.25 | 0.96 | 0.43 | 580 | ||
40 | 335.7 | 20.6 | 17 | 5.93 | 5.82 | 0.21 | 0.96 | 0.41 | 270 | ||
41 | Sea level | 533.4 | 19.1 | 23 | 2.97 | 15.30 | 0.16 | 0.70 | 0.47 | 360 | |
42 | 498.5 | 24.8 | 26 | 5.40 | 14.75 | 0.32 | 0.88 | 0.65 | 480 | ||
43 | 612.7 | 26.5 | 27 | 5.27 | 16.50 | 0.22 | 1.28 | 0.58 | 570 | ||
44 | 476.7 | 20.5 | 19 | 4.08 | 10.20 | 0.32 | 0.91 | 0.43 | 680 | ||
45 | Offshore (60 cm) | 441.1 | 52.9 | 22 | 5.32 | 12.77 | 0.31 | 0.96 | 0.73 | 560 | |
46 | 477.8 | 16.8 | 22 | 4.97 | 12.43 | 0.24 | 1.10 | 0.43 | 610 | ||
47 | 450.8 | 15.5 | 20 | 5.21 | 12.07 | 0.23 | 1.02 | 0.46 | 620 | ||
48 | 437.2 | 24.2 | 25 | 4.02 | 12.69 | 0.14 | 0.95 | 0.59 | 600 |