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BY 4.0 license Open Access Published by De Gruyter Open Access August 29, 2019

Controlling factors on the geochemistry of Al-Shuaiba and Al-Mejarma coastal lagoons, Red Sea, Saudi Arabia

  • Ali S. Basaham , Ibrahim M. Ghandour EMAIL logo and Rabea Haredy
From the journal Open Geosciences

Abstract

Geochemical and mineralogical analyses of bottom sediments collected from Al-Shuaiba (SHL) and Al-Mejarma (MJL) coastal lagoons, Red Sea were carried out. Mineralogically, the sediments consist mainly of carbonate minerals particularly aragonite, high and low Mg-calcite and traces of dolomite admixed with non-carbonate minerals including quartz, k-feldspars, plagioclase and traces of amphiboles, mica and clay minerals. The spatial distribution of major and trace elements at the bottom of the lagoons indicates two groups of elements. The first, less significant, is of terrigenous origin concentrates mainly in the shoreward direction. This group includes the silicates (Al2O3-Fe2O3-SiO2), Feldspars (K2O-Rb-Ba) and heavy minerals (V-Cr-Zr, TiO2-Y-Nb) related elements. The second most dominant group is the carbonate related elements (CaO-Sr) that concentrates in the seaward direction. The two lagoons are not affected by urbanization or anthropogenic impact, and hence the siliciclastic elements are related to the terrigenous influx mainly by aeolian transportation. The carbonate related elements are mainly of biogenic origin related to calcareous skeletal remains. The elemental distribution in the bottom sediments of the MJL is more homogeneous than those in the SHL reflecting the bottom conditions that are mainly controlled by lagoon morphology, hydrodynamic and the water circulation between the lagoon and the sea. Geochemical data show no obvious enrichment of Al-normalized redox-sensitive trace elements V and Cr suggesting that there is no variation in the bottom redox conditions in contrast with other previous studies. The information in this work is an important tool for biogeochemical and biological research projects in the Red Sea coastal lagoons.

1 Introduction

Coastal lagoons are worldwide socio-economically fragile ecosystems of high biological productivity and nutrients availability, covering a wide variety of habitats and host abundant fauna and flora constituting a vital and important fishery and nursery ground [1, 2]. Several proxies have been employed to study the bottom conditions of coastal lagoons; however, bottom sediment geochemistry is still the most powerful and effective proxy. Lagoonal bottom sediments are archives for environmental and climatic fluctuations and aid in forecasting the future of the ecosystem. The bottom sediments are derived from different sources including continental run-off, coastal erosion, upwelling and resuspension, reworked marine sediments and autochthonous biogenic carbonate and hydrogenous sediments. Physical, chemical and biological processes in the lagoon act mutually or individually on the transport and deposition of sediments affecting the chemical composition of bottom sediments [3, 4]. In addition, lagoon hydrodynamics largely control water quality conditions, regulate sediment dispersal patterns, their subsequent deposition and mixing with autochthonous sediments [5].

There are over twenty elongated and shallow lagoons locally known as sharms and/or Khawrs extending along the Saudi the Red Sea coast [6]. These lagoons have gently sloping shorelines and connect to the Red Sea through one or more inlets. The existence and evolution of Red Sea coastal lagoons are related either to the rise of sea level (RSL) during the Holocene [7] or as remnants of collapse features formed by selective dissolution of Miocene evaporites [8]. The description of the sedimentological characteristics and the composition of bottom sediments of major Red Sea coastal lagoons were reviewed by Rasul [6]. The extreme arid climate with a very limited and negligible annual rainfall and therefore, the composition of the lagoon bottom sediments are dominantly of autochthonous biogenic sediments. The geochemistry of the Red Sea coastal lagoons has been examined by many investigators mainly for environmental assessments. Most of previous studies concentrated in the lagoons surrounding major cities; Jeddah [9], Rabigh [10, 11, 12, 13] and Yanbu [14].

Al-Shuaiba (SHL) and Al-Mejarma (MJL) lagoons on the eastern coast of the Red Sea, Saudi Arabia (Fig. 1) lack major industrial activity and the anthropogenic contribution is very limited to slight fishing activities. The two lagoons show variable morphologies and connection with the Red Sea producing different hydraulic circulation within the two lagoons and consequently different physical and biogeochemical processes, dispersal patterns and composition of bottom sediments. The lagoons were previously studied for their sedimentological and micropaleon- tological attributes [15, 16, 17, 18, 19]. The geochemistry of the environmentally sensitive elements in the bottom sediments of the two lagoons were involved to establish a geochemical background for the Red Sea coastal lagoons [11].

Figure 1 Locations of Al-Shuaiba (a) and Al-Mejarma (b) lagoons and the sampling sites.
Figure 1

Locations of Al-Shuaiba (a) and Al-Mejarma (b) lagoons and the sampling sites.

The present study is a part of an ongoing research project on the geochemistry of the Red Sea coastal lagoons. Basaham et al. [11] published a part of the data to establish a geochemical background for the Red Sea coastal lagoon sediments. The aims of the present study are to map the elemental distribution in the carbonate dominated Al-Shuaiba and Al-Mejarma lagoons to determine the sources and pathways of the elements in the lagoons and to understand the controlling factors on their spatial distribution. The findings of this work will be employed as important information for future biogeochemical and biological research projects in the carbonate rich Red

2 Materials and Methods

2.1 Area of Study

Al-Shuaiba (Khawr ash Shaiba Al Maftuhah) Lagoon (SHL) is a fossil back-reef and hypersaline small basin located 80 km south of Jeddah city between latitudes 20 42 to 20 51 N and longitudes 39 26 to 39 32 E. It is a type of choked lagoon [20] connected to the sea through an elongated inlet channel with depth up to 15 m. The lagoon has an irregular shape and their bottom topography is relatively smooth with shallow depth varying from 1 to 3 m. It covers a surface area of about 14.3 km2. The lagoon contains mangrove trees (Avicennia marina) scatter around the margins of the lagoon and the small islands appearing within the lagoon, whereas the eastern side is bordered by a low-lying and extensive mud-rich tidal flat. The western side of the lagoon is bordered by old, raised coral reef terraces(1-3 m high); probably of Pleistocene age [21, 22]. Rain-waters rarely drain into the lagoon through the generally inactive Wadi Al-Atwa, Wadi Al-Kharqah and unknown wadi during the sporadic major floods [6]. The composition and the grain size of bottom sediments vary widely in the lagoon. The bottom sediments consist dominantly of coarse grained autochthonous carbonates dominated by biogenic corals and molluscan remains commonly occur within the high energy channel course of the lagoonal entrance admixed with terrigenous sediments transported to the lagoon by wind action and less evaporite minerals derived from the adjacent sabkha. Fine grained sediments are common in the sheltered and low energy nearshore areas. In addition, the bottom of the lagoon is occupied by sea grasses and macro-algae [17].

Al-Mejarma Lagoon (MJL) is a back-barrier lagoon situated about 40 km south of Al-Shuaiba at latitudes N 20 2529′′, N 20 264.02′′ and longitudes E 39 4123′′, and E 39 424′′. The lagoon occupies an area of 0.88 km2 and has a more regular rectangular shape with long axis (1.4 km long) parallel to the Red Sea shoreline. The water depth of the MJL varies from 1 to 7 m with an average of 2.5 m and it is connected to the open sea through a narrow channel about 70 m width and 7 m depth. The bottom topography is smooth except for the presence of some patchily distributed coral reefs. The water dynamic is variable, energetic along the channel and very calm on both northern and southern part. The bottom sediments is generally heterogeneous. Coarse biogenic sediments containing remains of corals and molluska are abundant in the high energy along the inlet channels, whereas muddy sands with abundant seaweeds consisting of algae and foraminifera admixed with wind-transported terrigenous sediments. The lagoon is surrounded to the south and north by low lying intertidal flat and coastal sand dunes and to the east by beachrocks.

2.2 Climate

The area has a hot and dry climate throughout the year with a very low precipitation rate (< 63 mm/yr) and high evaporation rates (2.06 ± 0.22 m/yr) with no riverine inputs [23]. The lagoons have a semidiurnal low tidal range about 0.3 m that is similar to that of the central Red Sea [24]. The energy flux generated by wind-generated waves and currents along with tidal currents control the sediment transportation at the entrance of the lagoon [6, 25]. The water circulation between the lagoons and Red Sea is of reversal estuarine type. It is maintained by the narrow inlets that allow the formation of two water layers; the cold and less saline Red Sea waters enter the lagoons as surface layer (inflow) and warm and high salinity lagoonal waters leave the lagoon as subsurface layer (outflow). The water circulation is governed mainly by wind, tide and thermohaline circulation [17, 26, 27]. The shallow depths, and wind and tidal stirring prevent the lagoons from developing stratification, resulting in a well-mixed oxygenated body of water.

2.3 Database and Methodologies

The database of the present study includes the mineralogical and geochemical analysis of 42 samples of bottom sediments collected in February, 2014 by the van Veen-type grab sampler from Al-Shuaiba (22 samples) and Al-Mejarma lagoons (20 samples) (Fig. 1). The samples were dried at 50C and gently powdered. Mineralogical and geochemical compositions were determined using XRD and XRF techniques, respectively. The bulk mineralogy of 12 samples (10 from Al-Mejarma and 2 from Al-Shuaiba) was determined using the X-ray powder diffraction (XRD) (SHIMZU) with Ni-filtered Cu Kα radiation at 15 kV to 40 mA at the XRD Laboratory of the Marine Geology Department, King Abdulaziz University. The relative abundance of minerals is determined semi-quantitatively using the peak heights of the basal reflections for the mineral [28, 29]. The identified minerals are grouped into abundant (> 40%), moderate (10 – 40 %) and trace (< 10%). The chemical composition of sediments was determined using a RIGAKU RIX 2100 X-ray fluorescence spectrometer (XRF), equipped with Rh/W dual-anode X-ray tube. The measurements were performed at the Department of Geosciences, Osaka City University, Japan under 50 kV and 50 mA accelerating voltage and tube current, respectively [30]. Fused glass discs were prepared by mixing 1.8 g of powdered sample (dried to 110C for 4 hours), 3.6 g of spectroflux (Li2B4O7 20%, LiBO2 80%, dried at 450C for 4 hours), 0.54 g of oxidant LiNO3 (dried at 110C for 4 hours) and traces of LiI. The mixture is then fused at 800C for 120 sec and 1200C for 200 sec. The accuracy of the analyses was estimated to be ±2-3 % for major elements and ±10-15 % for trace elements. Total iron is introduced as Fe2O3t.For comparison, the chemical composition of the bottom sediments of Sharm Al-Kharrar (unpubl. Data) and Sharm Obhur [9] have been used. Descriptive statistics and the elemental interrelationships are determined and the spatial distribution of major oxides and trace elements are shown by contour maps. The chemical variables in the sediments of SHL and MJL are clustered using correlation coefficients as a similarity index [13, 31] with the aid of PAST 3.11 [32].

3 Results

3.1 Mineralogical Composition

The mineralogical composition of the SHL and MJL bottom sediments supplemented with data from previous work [16] show that the mineralogical composition consists mainly of carbonate minerals, particularly high Mg-calcite (HMC), aragonite, low Mg-calcite and traces of dolomite. In addition, non-carbonate terrigenous minerals including quartz, k-feldspars, plagioclase, amphiboles, mica and clay minerals.

3.2 Geochemistry

The results of the geochemical analysis are shown in tables (1-4) and figures (2-5).

Table 1

The results of geochemical analysis of the Al-Shuaiba Lagoon bottom sediments

SampleMajor oxides(wt%)Trace elements g/g)
SiO2TiO2AI2O3T-Fe2O3MnOMgOCaONa2OK2OP2O5VCrNiCuZnRbSrYZrNbBa
SH-116.240.334.762.260.045.9657.741.160.320.1057421832304533610185491
SH-215.790.344.822.380.046.1057.611.120.320.1064421335294539610183499
SH-315.340.344.662.360.046.3156.741.020.290.1157371533344524110188497
SH-416.020.334.912.470.046.2855.361.120.340.1153391731306510291703103
SH-515.420.334.702.340.046.1457.141.050.320.115636373029553509175497
SH-617.580.365.112.510.045.7454.861.190.420.12604116283165177101834111
SH-717.940.395.272.600.045.8254.201.230.330.13633731313155199121984101
SH-817.650.435.262.680.045.9354.771.210.360.14584314323265227112284116
SH-916.550.455.302.950.046.3954.121.060.340.1468471935385532511284474
SH-1025.440.756.533.200.065.1445.481.380.700.177857162438144114174426179
SH-1122.030.776.023.350.065.3249.071.340.380.19926514343755738194986127
SH-1214.230.343.911.780.034.6159.081.210.250.14473182921365379243389
SH-1313.490.314.002.040.035.4161.140.950.300.1953401138334645610221381
SH-1414.020.413.921.990.044.7859.121.080.330.1656441032245636711302369
SH-1511.630.263.461.780.036.1561.560.790.270.195041123534658587194362
SH-1616.750.384.812.370.045.2055.241.150.370.1367421333325624611238476
SH-1714.860.294.292.030.035.2956.881.160.240.124833112923258098180398
SH-1818.690.364.992.470.044.9053.501.350.450.1459427282385040101864117
SH-1914.840.354.452.250.045.6259.301.030.310.1457401435294580810231490
SH-2O11.890.253.892.100.036.0560.840.930.200.115636143331161998177368
SH-2115.560.364.692.430.046.0157.390.980.340.1264411534356583110224490
SH-2215.350.324.712.350.046.1357.331.040.350.1258381530315542291794100
Min11.630.253.461.780.034.6145.480.790.200.1047.3030.607.0024.1020.901.104114.007.40169.702.9062.10
Max25.440.776.533.350.066.3961.561.380.700.1992.0065.3037.2038.2038.0013.706537.1018.70497.805.90178.60
Mean16.240.384.752.400.045.6956.291.120.340.1460.1141.4915.4431.9130.585.155580.9110.50232.273.8897.04
Sta.dev.3.050.130.710.400.010.533.760.140.100.0310.027.456.783.174.722.37571.312.7184.980.7424.73
Table 2

The results of geochemical analysis of the Al-Mejarma Lagoon bottom sediments

SampleMajor oxides(wt%)T-Trace elements g/g)
SiO2TiO2AI2O3Fe2O3MnOMgOCaONa2OK2OP2O5VCrNiCilZnRbSrYZrNbBa
MG-118.550.355.502.540.045.0752.151.450.420.20523614363775555131965141
MG-215.050.304.051.700.033.9858.501.270.500.18402323020106356112394127
MG-314.750.264.321.870.034.6358.081.180.490.18392683227125969101844110
MG-414.140.254.131.810.034.7158.281.230.430.194127933257577331864119
MG-516.310.335.312.650.045.9754.221.030.490.285043183945125031121655118
MG-614.850.294.632.250.035.6856.961.020.500.24483212373812531111166599
MG-713.090.233.791.560.034.6260.261.160.430.173526532218595491803113
MG-828.160.818.033.920.085.0141.321.790.890.3373522132532242682747410217
MG-930.060.748.584.000.085.0939.611.781.060.288653213358284150265139231
MG-1022.030.436.292.840.054.8349.601.440.800.225941153341205193162526173
MG-1121.260.466.202.880.054.6950.361.400.780.236546193642195318162746158
MG-1219.400.375.592.520.044.5252.651.400.660.215237123334165487142195150
MG-1332.040.839.174.450.085.2836.001.941.000.3187612636632237652847410227
MG-1421.830.436.352.950.054.5648.901.630.600.216053174846125638142356158
MG-1519.610.375.922.720.045.0050.901.490.510.20544012444285427131875151
MG-1640.121.0411.115.400.106.3825.972.251.320.34105773430773322683472212310
MG-1736.860.9111.446.080.108.0827.001.931.160.331077740421013323343053712269
MG-1817.040.294.741.960.044.1355.561.410.480.1941256352595961112104142
MG-1919.900.385.962.760.054.9351.831.390.710.225437143042185315132025171
MG-2022.100.416.392.760.054.7649.531.520.800.225237133039225016152146176
Min13.090.233.791.560.033.9836.001.020.420.1735232302073,7653165399
Max32.040.839.174.450.085.9760.261.941.060.338761264863286,3562851310231
Mean20.010.425.832.670.054.8651.371.420.640.235539133539155,305152546154
Sta dev5.490.191.530.800.020.486.740.250.210.041511651266776111240
Table 3

Correlation matrix of major and trace element concentrations for the bottom sediments of Al-Shuaiba Lagoon. All correlations are significant at the P < 0.01 level (n = 22).

SiO2TiO2AI2O3tFe2O3MnOMgOCaONa2OK20P2O5VCrNiCuZnRbSrYZrNbBa
SiO21
TiO20.88**1
AI2O30.95**0.82**1
tFe,O30.87**0.84**0.96**1
MnO0.9**0.92**0.88**0.88**1
MgO-0.39

-0.3

0.01

0.11-0.10

1
CaO0.98**0.87**0.95**-0.9**0.87**0.18

1

Na2O0.84**0.66**0.75**0.61**0.64**0.52**0.81**1
K2O0.87**0.72**0.78**0.68**0.77**-0.260.83**0.64**
P2O50.20.48*0.040.140.23-0.43*-0.17

0.030.261
V0.79**0.88**0 . 8 1 **0.89**0.89**-0.070.79**0.52**0.59**0.31
Cr0.74**0.9**0 . 7 1 **0.80**0.85**-0.130.72**0.45*0.63**0.54**0.90**1
Ni0.14

0.030.290.270.180.48*-0.16-0.02

0.05-0.310.12-0.071
Cu0.54**-0.28-0.42*-0.23-0.340.340.56**0.64**-0.59**0.19-0.07-0.03-0.11
Zn0.36*0.48*0.5**0.63**0.5**0.52**-0.39*

-0.140.340.270.62**0.6**0.260.26

1
Rb0.76**

0.612**0.67**

0.57**

0.66**-0.150.48*0.95**0.330.44*0.53**0.12

0.37*1

0.73**0.55**
Sr-0.41*-0.6**-0.310.71**

-0.48*-0.71**0.19-0.35-0.340.57**-0.351
0.69**0.75**0.65**0.37*0.73**
Y0.88**0.98**0.83**0.85**0.92**-0.290.85**0.670.70**0.45*0.92**0.9**0.1-0.210.5**0.58**-0.38*1
Zr0.69**0.94**0.59**0.66**0.78**-0.41*0.68**0.49*0.55**0.64**0 . 8 1 **0.87**-0.13

-0.110.43*0.46*-0.130.91**1
Nb0.9**.94**0.9**0.91**0.92**-0.010.63**0.74**0.30.88**0.84**0.11-0.31

0.58**0.62**0.92**0.82**1
0.89**0.57**
Ba0.9**0.72**0.83**0.70**0.76**-0.210.86**0.77**0.83**0.110.54**0.53**0.10.67**0.230.76**0.76**0.7**0 . 5 1 **0.79**1
  1. ** Correlation is significant at the 0.01 level * Correlation is significant at the 0.05 level

Table 4

Correlation matrix of major and trace element concentrations for the bottom sediments of Al-Mejarma Lagoon. All correlations are significant at the P < 0.01 level (n = 20).

SiO2TiO2AI2O3cFe203MnOMgOCaONa2OK2OP2O5vCrNiCuZnRbSrYZrNbBa
SiO21
TiO20.98**1
AI2O30.99**0.97**1
cFe2030.97**0.96**0.99**1
MnO0.99**0.99**0.96**0.97**1
MgO0.7**

0.66**0.76**

0.80**

0.7**

1

CaO-0.9**1
0.99**0.99**0.99**0.98**0.75**
Na2O0.96**0.93**0.93**0.89**0.93**0.51*0.94**1
K2O0.97**0.95**0.95**0.93**0.96**0.64**0 . 9 5 **0.89**1
P2O50.88**0.92**0.9**0.91**0.91**0.77**-.9**

0.75**0.857**1
V0.98**0.97**0.99**0.99**0.97**0.75**0 . 9 8 **0.9**0.944**0.89**1
Cr0.95**0.93**0.97**0.97**0.94**0.79**0.97**0.87**0.900**0.89**0.96**1
Ni0.93**

0.91**0.96**0.98**0.93**

0.86**0.95**0.81**0.876**0.91 **

0.96**0.97**1
Cu0.053-0.070.0160.0830.0450.120.007

-0.05-0.1980.0570.060.140.141
Zn0.92**0.9**0.96**0.98**0.93**0.88**0 . 9 5 **0.81 **0.87**0.89**0.96**0.96**0.98**0.189

1
Rb0.92**

0.9**0.92**

0.9**

0.92**

0.68**

0.91 **0.81"

0.98**0.84"

0.91**

0.86"

0.86**0.2370.86**

1
Sr-0.9**0.96**

-0.91**0.113

-0.9**1

0.94**0.95**0.95**0.93**0.87**.0.83**.092**0.93**0.9**0.94**.0.93**
Y0.97**0.98**0.96**0.95**0.97**0.64**0.96**0.91**0.95**0.89**0.95**0.91**0.88**0.0840.88**0.91**0.89**1
Zr0.92**0.96**0.9**0.89**0.94**0.55**0 . 9 1 **0.89**0.91**0.82**0.92**0.83**0.82**0.1450.81**0.86**0.83**0.94**1
Nb0.98**0.99**0.98**0.98**0.99**0.72**0.98**0.9l"0.94**0.93**0.98**0.94**0.94**0.0280.93**0.9l"0.93**0.98**0.94**1
Ba0.99**0.97**0.97**0.94**0.98**0.66**0.98**0.96**0.97**0.85**0.95**0.92**0.88**0.1480.88**0.92**0.93**0.95**0.92**0.96**1
  1. ** Correlation is significant at the 0.01 level * Correlation is significant at the 0.05 level

Figure 2 Contour maps showing the spatial distribution of major oxides (%) in the bottom sediments of Al-Shuaiba Lagoon
Figure 2

Contour maps showing the spatial distribution of major oxides (%) in the bottom sediments of Al-Shuaiba Lagoon

Figure 3 Contour maps showing the spatial distribution of trace elements (μg/g) in the bottom sediments of Al-Shuaiba Lagoon
Figure 3

Contour maps showing the spatial distribution of trace elements (μg/g) in the bottom sediments of Al-Shuaiba Lagoon

Figure 4 Contour maps showing the spatial distribution of major oxides (%) in the bottom sediments of Al-Mejarma Lagoon
Figure 4

Contour maps showing the spatial distribution of major oxides (%) in the bottom sediments of Al-Mejarma Lagoon

Figure 5 Contour maps showing the spatial distribution of major oxides (%) in the bottom sediments of Al-Mejarma Lagoon
Figure 5

Contour maps showing the spatial distribution of major oxides (%) in the bottom sediments of Al-Mejarma Lagoon

3.2.1 Major elements

The distribution of the terrigenous related major elements (SiO2, TiO2, Al2O3, Fe2O3, MnO and Na2O) differs from the carbonate related ones (CaO and MgO). The concentrations of the former increase shoreward particularly towards the eastern shoreline (Figs 2 and 4). The ranges of concentrations of SiO2, TiO2, Al2O3 and Fe2O3 in the sediments of Al-Shuaiba and Al-Mejarma lagoons are 11.63-25.44, 0.25-0.77, 3.46-6.53 and 1.78-3.35 % and 13.09-40.12, 0.23-1.04, 3.79-11.44 and 1.56-6.08%, respectively (Tables 1 and 2). The CaO and MgO have a unique aerial distribution, where they are highly enriched adjacent to the inlet and in the areas mostly attached to the open sea (Figs 2 and 4). The concentrations of CaO varied in the sediments of Al-Shuaiba Lagoon between 45.48 and 61.56 % with an average of 56.29 % and in Al-Mejarma Lagoon from 26 to 60 % with an average of 49 % (Tables 1 and 2). MgO concentrations on the other hand display north and westward increase in the sediments of Al-Shuaiba, whereas the highest concentrations of the MgO in the sediments of Al-Mejarma were recorded from the nearshore area adjacent to the southern shoreline. Its concentration varied in the sediments of Al-Shuaiba from 4.61 to 6.93 % with an average of 5.69 % and from 4 to 8.1 % with an average of 5.1 % in the sediments of Al-Mejarma Lagoon. K2O and P2O5 in the sediments of Al-Shuaiba behave slightly different from other major elements. The concentration of K2O in the sediments of Al-Shuaiba and Al-Mejarma lagoons varied from 0.2 to 0.7 %and from 0.42 to 1.32 %displaying an increase towards eastern central part of the lagoon. P2O5 concentration on in the sediments of Al-Mejarma shows a similar trend to the terrigenous related elements, whereas its concentration in the sediments of Al-Shuaiba increases in the southeast direction (Fig. 2). The concentration of P2O5 ranged from 0.1 to 0.19 % (average; 0.14 %) in Al-Shuaiba, and 0.17 to 0.34 % (average 0.24 %) in Al-Mejarma.

3.2.2 Trace elements

The spatial distribution of trace elements within Al-Shuaiba and Al-Mejarma lagoons displays some similarity with major elements. In the sediments of the SHL, elements such as V, Cr, Rb, Y, Zr, Nb and Ba behave similarly as the continental derived major elements. They show eastward increase in their concentrations (Figs. 3 and 5). The concentration range of these elements are 47-92, 31-65, 1-14, 7-19, 170-498, 3-6 and 62-169 μg/g, respectively (Table1). On the other hand, the concentrations of trace elements except for Sr in the sediments of the SHL increase generally in the shoreward direction (Fig. 3). The concentration of Sr shows a similar behaviour as carbonate related major elements CaO and MgO and its concentration increases in the seaward direction. The concentration of Sr varied in the sediments of Al-Shuaiba from 4114 to 7537 (average; 5581 μg/g) and from 2286 to 6356 (average; 5005 μg/g) in the sediments of Al-Mejarma. The distribution of Ni, Cu and Zn in the sediments of the SHL differs from other investigated trace elements. The concentrations of Ni and Zn display a northward increase, with average concentrations of 15 and 31 μg/g, respectively (Table 1 and Fig. 3). The concentration of Cu increases in the central and NW direction (Fig. 3) varying from 24.08 to 38.22 μg/g with an average of 31.90 μg/g (Table 1).

3.2.3 Geochemical Association

To discriminate different groups of samples having a similar geochemical composition, cluster analysis was employed using the correlation coefficient between all pairs of samples (Fig. 6). The dendrograms show variation in the degree of similarity and difference among trace and major elements in the two lagoons. In the sediments of the SHL, the dendrogram shows some geochemical associations; carbonate related elements (CaO-Sr), silicates (Al2O3-Fe2O3-SiO2), Feldspars (K2O-Rb-Ba) and heavy minerals (V-Cr-Zr, TiO2-Y-Nb). For the MJL sediments, the dendrogram shows some similarities and variations with that of SHL. The geochemical associations in the sediments of MJL include carbonate related elements (CaO-Sr), silicates (Al2O3-SiO2), feldspars (K2O-Rb) and heavy minerals (TiO2-Nb-Y). The dendrogram obtained for Al-Mejarma shows differences on geochemical behaviour for some elements; CaO is less related to MgO, and Cr and Na are not clearly associated to any geochemical group.

Figure 6 Dendrograms showing the clustering of elements in the Al-Shuaiba (a) and Al-Mejarma (b) lagoons
Figure 6

Dendrograms showing the clustering of elements in the Al-Shuaiba (a) and Al-Mejarma (b) lagoons

3.2.4 Elemental Interrelationships

Elemental interrelationships (Tables 3 and 4 and Figure 7) in the sediments of Al-Shuaiba show significant positive correlation (r > 0.8) between SiO2 and TiO2, Al2O3, Fe2O3, MnO, Na2O and K2O. SiO2 displays a significant positive correlation (Table, Figure) with V (r = 0.79), Cr (r = 0.74), Rb (r = 0.76), Y (r = 0.88), Nb and Ba (r = 0.9) in the sediments of Al-Shuaiba. In the sediments of Al-Mejarma, SiO2 displays a significant positive correlation (r > 0.85) with major elements except CaO and MgO. Similarly, it shows significant positive correlation (r > 0.9) with most trace elements except Cu and Sr. CaO displays significant positive correlation with Sr in the sediments of Al-Shuaiba (r =0.71) and Al-Mejarma (r = 0.9) lagoons. Barium (Ba) correlates positively with K2O and Rb in the sediments of Al-Shuaiba (r = 0.83 and 0.76, respectively) and in Al-Mejarma (r = 0.0.97 and 0.92, respectively) suggests that Ba is mainly derived from a terrestrial source, possibly K-feldspar. SiO2 behave as Al2O3 suggesting that most of SiO2 are of terrigenous origin. Al displays strong positive correlation with Ti suggesting that most Ti is associated with clay minerals. Fe2O3-V may indicate the accumulation of V in Fe-minerals by adsorption. The strong positive correlation of Fe2O3 with Na2O,MnO, V, Cr,Ni and Zn suggests that these metals are closely associated with Fe oxyhydroxides and Fe-rich minerals such as hornblende [33, 34].

Figure 7 Relationship of SiO2, Al2O3, CaO and Ba with the major and trace elements in the sediments of Al-Shuaiba and Al-Mejarma lagoons
Figure 7

Relationship of SiO2, Al2O3, CaO and Ba with the major and trace elements in the sediments of Al-Shuaiba and Al-Mejarma lagoons

The average concentrations of the major and trace elements in the sediments of Al-Shuaiba and Al-Mejarma lagoons were correlated with the average chemical composition of the bottom sediments of two Red Sea coastal lagoons; Sharm Obhur, Jeddah [9] and Sharm Al-Kharrar, Rabigh area. The correlation shows that the land derived major and trace elements are more abundant in the bottom sediments of Sharm Al-Kharrar followed by Sharm Obhur than in Al-Shuaiba and Al-Mejarma lagoonal sediments (Figure 8). On the other hands, the carbonate related elements (CaO, MgO and Sr) are more abundant in the sediments of Al-Shuaiba followed by Al-Mejarma (Figure 8).

Figure 8 Histogram showing the average concentrations of major (a) and trace (b) elements on the sediments of Al-Shuaiba and Al-Mejarma lagoons relative to the Sharm Al-Kharrar (Rabigh area; Basaham et al. [11]) and Sharm Obhur (Jeddah City; Ghandour et al. [9]).
Figure 8

Histogram showing the average concentrations of major (a) and trace (b) elements on the sediments of Al-Shuaiba and Al-Mejarma lagoons relative to the Sharm Al-Kharrar (Rabigh area; Basaham et al. [11]) and Sharm Obhur (Jeddah City; Ghandour et al. [9]).

4 Discussion

The carbonate-dominated SHL and MJL bottom sediments are consistent with the extremely hot and arid climatic conditions prevail in the area. The distribution and concentrations of the major oxides and trace elements in the sediments of the two lagoons display somewhat remarkable variations reflecting the spatial variations in the composition and grain size of the calcareous skeletal remains, lagoonal bottom conditions and organic matter content. These variations may be attributed to the variations in the lagoonal morphology and the connection with the Red Sea.

The composition of skeletal remains and the lagoonal hydrodynamics with the relevant grain size play a significant role in the spatial distribution of the carbonate related elements (CaO, MgO and Sr). CaO and Sr are closely related and display similar distribution pattern. They have strong negative correlations with the land-derived elements suggesting that the two elements were derived from a similar source that is independent of alumino-silicate and other land-derived minerals and related to the biogenic origin [35].

The concentrations of CaO, MgO and Sr in the sediments of SHL are closely related to the mineralogical composition which in turn is correlated with the hydrodynamically controlled grain size and the dominant skeletal remains. Corals and molluska of dominantly aragonitic composition dominate the coarse-grained inlet channel sediments. These sediments are highly enriched in CaO and Sr. On the other hands, MgO shows high concentrations in the fine-grained sediments near the northern and western shorelines. These sediments contain abundant red algae and benthic foraminiferal remains, which is consistent with the dominance of high-magnesium calcite. The concentration of MgCO3 in the skeletal remains of corals and molluska ranges between 0.1 and 0.2 % [36], whereas it ranges in calcareous algae between 8.3 to 35 % [37].

Similarly, the concentrations of CaO and Sr in the sediments of the MJL decrease in a landward direction, whereas the MgO concentration increases towards the fine grain dominated southern and southeastern nearshore area. The higher concentrations of MgO towards the southern shoreline is consistent with the high content of high-magnesium calcite over aragonite. MgO is favoured over Sr in the calcite lattice and Sr is favoured over MgO in aragonite lattice. The regression for Sr-CaO and MgO-CaO show strong positive correlation for the former and poor to negative correlation for the second indicating that calcite was the main carbonate minerals in the SHL and MJL bottom sediments.

The land-derived major oxides (SiO2, Ti2, Al2O3, Fe2O3 and MnO) and trace elements (V, Cr, Zr, Rb, Y and Nb) display a generally similar distribution pattern. Their concentrations in contrast to the carbonate related elements increase generally in the sheltered and low energy nearshore areas. They are mostly concentrated in fine-grained sediments that is consistent with aeolian transportation. In the sediments of the SHL, higher concentrations of the land-derived elements were recorded near the eastern shoreline than the western shoreline. This is attributed to the limited dilution by autochthonous biogenous and hydrogenous calcareous sediments and the allochthonous carbonate sediments derived from the nearby fossil barrier reef bordering the lagoon from the west. In the MJL, the concentrations of the land-derived elements show regular landward increase because the bio-genic calcareous sediments are common in the relatively deeper seaward parts.

4.1 Lagoonal Bottom Conditions

Earlier studies [6, 16] suggested that the bottom of the SHL experiences stagnation and anoxic conditions particularly in areas that are enriched in organic matter. They attributed the stagnant conditions to the limited water exchange with the Red Sea and the hypersalinity because of arid climate. They further linked this stagnant condition with the formation of pyrite. Geochemical data presented here does not support variation in the bottom redox conditions. The concentrations of the Al-normalized redox-sensitive trace elements (V and Cr) show no obvious enrichment within the lagoon. The V/ Cr ratio has been employed to define the oxic-suboxic conditions; oxic-dysoxic and dysoxic-anoxic boundaries correspond respectively to V/ Cr ratios of 2 and 4.25, respectively [38, 39]. The V and Cr tend to be more soluble under oxidizing conditions and less soluble and enriched under reducing conditions [40, 41]. In the present study, the V/ Cr values are generally less than 2 all over the lagoon suggesting that the bottom conditions of the two lagoons are well oxygenated. In addition, oxic conditions are normally developed in the well-circulated shallow water environment due to frequent exchange with the overlying oxic atmosphere. Generally, the shallow depths of the two lagoons along with the active wind and tidal stirring allow well mixing of waters of relatively high salinity and temperature and prevent the development of stratification.

Pyrite if present in the bottom sediments of Al-Shuaiba Lagoon has been attributed to the presence of dysoxic to anoxic bottom conditions [16]. However, pyrite can be formed under both anoxic and oxic conditions. Under anoxic condition, the formation of pyrite is enhanced by organic content and bacterial sulfate reduction [35]. Pyrite on the other hand, can be formed but with low rate under oxic condition below the sediment-water interface. Oxidation of organic matter inhibits bacterial sulfate reduction and thus the formation of H2S which prevents the formation of pyrite. Under oxic conditions, reworking by bioturbation lead to oxidation of pyrite to Fe oxides [42].

5 Conclusions

The geochemical and mineralogical composition of bottom sediments of two Red Sea carbonate-dominated coastal lagoons; Al-Shuaiba and Al-Mejarma are determined. The sediments of the two lagoons show slight variations in their chemical and mineralogical composition reflecting the influence of the lagoonal hydrodynamic energy and its control on sediment grain size and the limited exchange with seawater.

  1. The bottom sediments consist mainly of carbonate minerals aragonite and high and low-Mg calcite and the non-carbonate minerals are dominated by quartz along with rare feldspars, clay minerals, mica and amphiboles. The chemical composition of the bottom sediments of the two lagoons is slightly different, with the sediments of Al-Shuaiba yielded higher average concentrations of carbonate related elements (CaO, MgO and Sr).

  2. The spatial distribution of CaO, MgO and Sr is controlled mainly by hydrodynamic energy the relevant grain size. In areas of high energy such as inlet channels, skeletal remains of corals and molluska of dominantly aragonitic composition dominate the sediments with high content of CaO and Sr. On the other hands, the areas of low hydrodynamic energy, the fine grained sediments contain abundant calcareous algae and foraminifera with high Mg calcite and consequently relatively high MgO concentrations.

  3. Trace elements are abundant in areas having high mud and organic carbon content suggesting that trace elements are adsorbed to, or complexes with organic debris and/ or clay minerals.

  4. Based on elemental correlations, cluster analysis differentiates 4 geochemical groups: carbonate related elements (CaO-Sr), silicates (Al2O3-Fe2O3-SiO2), Feldspars (K2O-Rb-Ba) and heavy minerals (V-Cr-Zr, TiO2-Y-Nb) for the sediments of Al-Shuaiba Lagoon, and for the Al-Mejarma Lagoon are carbonate related elements (CaO-Sr), silicates (Al2O3- SiO2), feldspars (K2O-Rb) and heavy minerals (TiO2-Nb-Y).

  5. The geochemical data indicate that the bottom of the lagoon was fully oxygenated regardless the high organic matter content. The depletion of redox sensitive trace elements (V and Cr) and the low values of V/Cr ratio suggest that bottom waters were oxic.Shallow water depths of the two lagoons and the continuous water stirring by the action of wind and tide prevent water stratification and allow mixing of surface and bottom waters.

Acknowledgements

This project was funded by the Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, under grant no. G-76-150-1438. The authors, therefore, acknowledge with thanks DSR for technical and financial support. The authors would like to thank the reviewers and the editor for the constructive comments and for editorial improvement of the manuscript. Thanks extend to Prof. Athar A. Khan (KAU) for language editing.

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Received: 2018-12-24
Accepted: 2019-06-26
Published Online: 2019-08-29

© 2019 Ali S. Basaham et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 Public License.

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