This study evaluated the concentrations and distributions of nutrient and non-nutrient elements in water, sediment, mud, and vegetation of Ologe Lagoon, Lagos, Nigeria. Nutrient elements including Na, Ca, K, and Mg were found in high concentration values in the different components of the freshwater ecosystem. While the water had the least concentration of the elements, Trapa natans had the highest. Aluminium showed similar distribution patterns in the different components, except for T. natans. All the samples correlated significantly with water (p <0.05). Both the sediment and mud showed low potential ecological risk indexes of 5.3 and 5.92, respectively. Copper had the highest ecological risk with respect to single regulator indexes in the mud and sediment, notwithstanding its low concentration in the two components. Pollution indices suggested the low severity of non-nutrient elemental contamination of water, sediment, mud, and vegetation of Ologe Lagoon, and therefore, it is safe for human consumption, but not for agricultural irrigation. Pistia stratiotes and T. natans showed potentiality for use as photo-stabilisers and phytoremediators for some of the elements. The presence of radionuclides and rare earth elements in the components of Ologe Lagoon are instructive for specific policy initiatives to mitigate their effects on the population.

  • Radionuclides were reported in the components of Ologe Lagoon, a freshwater ecosystem.

  • High nutrient-element concentration associated with increased salinisation were found in the different components of Ologe Lagoon.

  • There is a low contamination of the components of the Lagoon with respect to non-nutrient elements.

  • Water from Ologe is unsuitable for agricultural irrigation owing to high concentration of nutrient metal elements.

  • Pistia stratiotes and T. natans showed potential for the remediation of Zn, Cr, Cu, Th, and U.

A sanitation policy for the protection of water resources is critical to attaining Sustainable Development Goals (SDGs) in urban areas characterised by unplanned habitat growth and an uncoordinated water supply system (Mugagga & Nabaasa 2016). Rapid population growth and industrial discharges threaten aquatic life, the economy, and the clean water supply in riverine communities. The discharge of salty wastewater from the processing of food and allied products degrades water quality and thus renders the water unsuitable for domestic and industrial applications without prior treatments via desalination (Panagopoulos 2021, 2022; Panagopoulos & Giannika 2022). Particularly that there is connectivity in the underground and surface water systems, thus making it possible for high volumes of contaminated water to affect the water supply (Kabuba & Maliehe 2021).

The lethal effects of nutrient and non-nutrient mineral elements constituting aquatic micro-pollutants on aquatic biota, terrestrial organisms, and humans have been extensively investigated. Their toxicity to animals and man is still relevant and will continue to increase owing to natural and anthropogenic processes that generate and release wastes containing different mineral elements into the environment (Bassey et al. 2019). Investigation of the elements in aquatic systems is very essential, as a slight alteration in their concentration above the threshold levels could lead to serious environmental hazards, and health challenges for consumers, and may threaten food security, particularly with recent reports of increased salinisation of freshwater from metal chlorides and salts (Ojekunle et al. 2016). Their presence in water is of high environmental significance because they are not removed by self-purification (Benhaddya et al. 2019). The elements also alter the biogeochemical cycles within freshwater habitats that affect the contiguous human population (Rizk et al. 2022). Non-nutrient mineral elements, in particular, exert significant negative impacts on the environment because of their abundance, toxicity, and persistence, which lead to their bioaccumulation in aquatic organisms and ubiquity in marine environments (Liu et al. 2016; Ali et al. 2019). Hence, Huang et al. (2020) listed them as priority pollutants. Their presence in the sediment–water–plant ecosystem is significant because of their possible influence on the food chain and their toxicity to human survival and well-being. Vari et al. (2022) suggested that assessing levels of non-nutrient elements in a body of water is a vital indicator of the river's health, its biota, and the quality of fish reared in it. Nutrient elements, on the other hand, are responsible for the widespread salinisation of freshwater ecosystems driven by human activities, sea-level rise, and climate change. This is receiving global attention because of its threat to biodiversity, functioning, and services produced by freshwater. A saltier freshwater changes the structure, functioning, communities, and benefits obtainable from aquatic ecosystems by altering their physical environments (Cunillera-Montcusí et al. 2022).

Previous studies on Ologe Lagoon focused mainly on trace non-nutrient elements; meanwhile, nutrient elements of water bodies are currently receiving attention because of increased salinisation and its attendant consequences. This study assessed the nutrient and non-nutrient element pollution status of the different components of Ologe Lagoon. The results would have practical application in the formulation of the sanitation policy guiding the health of Ologe Lagoon and would contribute to achieving the SDGs and to the discussion on salinisation as an emerging global problem impacting safe drinking water.

Study site and sample collection

Ologe Lagoon, as shown in Figure 1, is located between latitudes 6°26N and 6°30N and longitudes 3°01E and 3°07E. It has a surface area of 64.5 km2 and 5 m deep with jetties at Ibiye, Otto, Era, Agbara, Obele, and Gbenko. The lagoon is highly productive with a predicted fishing yield of 73.8 kg ha−1 yr−1 (Akin-Oriola & Awokoya 1998). The sampling points in this study are detailed in Figure 2 as L1–L4 (Lat. 6°26′56.71″N, Long. 3° 2′43.18″E; Lat. 6°27′51.18″N, Long. 3° 4′20.75″E; Lat. 6°28′7.80″N, Long. 3° 5′25.10″E and Lat. 6°28′54.79″N, Long. 3° 6′21.05″E). It is a hyposaline, freshwater system connected to the Atlantic Ocean by a series of channels leading to the Lagos waterfront and Badagry Creek. Its main sources of water are the Owo, Toluwu, Ore, Ilo, Oponu, and Imede rivers in neighbouring Ogun State, Nigeria. The lagoon experiences one dry season and one wet season annually, which is typical of the climate of southern Nigeria. Effluents from the Agbara industrial area are emptied into the lagoon through the Agbara stream. The lagoon serves several socio-economic needs in its proximate towns and villages in the Badagry area (Bassey et al. 2019).
Figure 1

Google map showing the location of Ologe Lagoon.

Figure 1

Google map showing the location of Ologe Lagoon.

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Figure 2

Google map showing the location of Ologe Lagoon and the sampling points.

Figure 2

Google map showing the location of Ologe Lagoon and the sampling points.

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Sample preparation

Between January and June of 2021, 24 water samples were collected at different points and depths (0–5 m) from the lagoon benthic zone with an open water grab sampler equipped with a simple pull-ring. Samples, upon collection, were transferred into polyethylene containers with screw caps. The containers had been previously soaked in 1:1 nitric acid for 24 h before the final rinse with Milli-Q water. Samples were kept in chilled boxes and transported to the laboratory. One litre of the water sample, upon arrival in the laboratory, was transferred into a beaker containing 10 mL of concentrated HNO3. The water sample was filtered and boiled slowly on a hot plate to less than 150 mL. The beakers were allowed to cool, and another 10 mL of concentrated HNO3 was added. The heating continued with the addition of concentrated HNO3 as necessary until digestion was complete. The samples were evaporated again to dryness and the beakers were cooled, followed by the addition of 10 mL of HCl solution (1:1 v/v), and then filtered using a pre-pleated Whatman filter (Merck, Grade 595: 4–7 μm). The filtrates were transferred to a volumetric flask and diluted to the mark with Milli-Q water to a final volume of 50 mL (U.S. EPA 1996). Milli-Q water was used for the dilution of standards and quality control (QC) solutions. These were also stabilised in high-purity, 2% (v/v) concentrated nitric acid (HNO3). Calibration and QC solutions were prepared from the Accustandard QCSTD-27 multi-element solution.

Sediment and mud samples (20 cm depth) were collected at different points from the lagoon benthic zone in a pre-cleaned Ekman dredge (6″ × 6″ × 6″) (Wildco Instruments, Sargeant, USA) and instantly placed in iced flexible bags. Vegetation samples, including water lettuce (Pistia stratiotes) and water chestnut (Trapa natans), were uprooted from the lagoon coastline. A total of 24 samples of sediments, mud, and vegetation were collected from January to June 2021, covering the onset and peak of rains in the region. All samples were air-dried in the laboratory drying cabinet at ambient temperature. Meanwhile, air-drying of vegetation samples was done after rinsing free of mud and sediment particles. The samples were digested with 5 mL mixtures of nitric and perchloric acids (HNO3:HClO4, 3:1 v/v) and heated separately on a digestion block at 180 °C for 3 h.

Sample analysis on inductively coupled plasma optical emission spectroscopy (ICP-OES)

Sample analysis was performed on an Agilent 720-ES ICP-OES instrument with a hermetically sealed megapixel CCD detector, next-generation VistaChip II detection technology, a robust 40 MHz plasma system, and Agilent Expert II software. Upon optimisation of the instrument for analysis, plasma and auxiliary gas flows were 1.5 L/min, each. The spray chamber was glass cyclonic with a standard axial torch, and a sea spray nebuliser operating at 220 kPa was employed. As a measure of quality control, the machine was recalibrated after every 15 determinations to check for instrumental drift.

Calibration equations and regression coefficient values for mineral elements

The regression coefficient (R) values were 1 ≤ R ≥ 0.999 in respect of all the mineral elements except for Be, Ca, Cd, Th, and Zn, which were between 0.978 and 0.998. The excellent R values suggest the suitability of the instrument for the mineral elements' determination.

Determination of water pollution indices

The sodium absorption ratio (SAR), percent sodium (%Na), and Kelly's index (KI) of water samples drawn from Ologe Lagoon were estimated to determine their agricultural suitability as described by Sheng et al. (2022) using the following expressions:
formula
(Exp. 1)
formula
(Exp. 2)
formula
(Exp. 3)
Mineral elements commonly encountered in polluted water for which background values are available were used to compute the single-factor pollution index, the water quality index (WQI), and the potential ecological risk index (PERI). The indexes are calculated as follows:
formula
(Exp. 4)
where is the measured elemental concentration; the reference value of the element.
formula
(Exp. 5)
where is the single elemental pollution index; n means the types of elements determined in the water samples (Zhuang & Lu 2020).
The Nemerow comprehensive pollution index was calculated as follows (Zhuang & Lu 2020):
formula
(Exp. 6)

This reflects current elemental pollution in water and the different contributions of various elements.

Determination of potential ecological index for elements in sediment and mud

The PERI was estimated by the following expression:
formula
(Exp. 7)
where is the concentration (mg kg−1) of non-nutrient metals in sediment and mud samples; is the reference value for each of the metals; is the pollution index of the non-nutrient metal; is the response coefficient for the toxicity of the single non-nutrient metal (As = 10, Co = Cu = Ni = Pb = 5, Mn = Zn = 1, Cr = V = 2); and is the potential ecological risk factor of the non-nutrient metal i (Weber et al. 2013; Zhuang & Lu 2020).

Determination of enrichment factor for elements in the sediment and mud

The non-dimensional enrichment factor (EF) was calculated to estimate the non-nutrient metal contamination status and peculiarity of the potential sources (anthropogenic vs. natural). The EF was calculated using the expression:
formula
(Exp. 8)
where is the metal-to-Al ratio in the sample measured, and is the natural background value of the metal-to-Al ratio (Liu et al. 2016).

Determination of the geological accumulation index

The geological accumulation index (Igeo) was calculated using the expression:
formula
(Exp. 9)
where is the heavy metal measured concentration, is the geochemical background value of the heavy metal, and K is the diagenetic coefficient which is taken to be 1.5 (Liu et al. 2016 ).

Determination of bioconcentration factor

Bioconcentration factor (BCF) was calculated using the following expression:
formula
(Exp. 10)
where represents the average concentration of the element in the biota, i.e., a certain tissue (μg/g of moist mass), and represents the concentration of the element in water (μg/mL) (Wang 2016).

Biota sediment accumulation factor

Biota sediment accumulation factor (BSAF) was calculated using the following expression:
formula
(Exp. 11)
where represents the average concentration of the element in the biota, i.e., a certain tissue (μg/g of moist mass), and refers to the concentration of the element in the sediment (μg/g) (Ziyaadini et al. 2017).

Statistical analysis

Nutrient and non-nutrient data were subjected to ANOVA and the significantly different treatment means were separated using Duncan multiple range test (DMRT). Also, experimental data were summarised using descriptive statistics including mean, minimum and maximum values, and standard error of means. The Pearson moment correlation was used to test the degree of relationship among the samples, while multivariate analysis was performed using R software version 3.6 to understand the relationship among the metals.

As observed in Table 1, in all the samples (water, sediments, mud, and vegetation), the nutrient mineral elements except Cu and Se were remarkably higher than the non-nutrient mineral elements and the reverse was the case for Al. The metal is present in the samples in similar concentrations as nutrient elements. Water samples consistently contained the least nutrient mineral elements, while the vegetation samples contained the highest. However, T. natans contained significantly higher contents than P. stratiotes. Mud samples contained more nutrient mineral elements than sediments. The macronutrient mineral elements (i.e. Na, Mg, K, and Ca) were remarkably higher in all the samples (water, sediments, mud, and vegetation) than the micromineral elements (i.e. Cu, Fe, Mn, Se, and Zn).

Table 1

Concentration of mineral elements in water, sediment, mud, and vegetation samples from Ologe lagoon (n = 24)

Vegetation (mgkg−1, dry weight)
Water (mg/L)
Sediments (mg kg−1, dry weight)
Mud (mg kg−1, dry weight)
P. stratiotes
T. natans
Element typeMeanMinimumMaximumMeanMinimumMaximumMeanMinimumMaximumMeanMinimumMaximumMeanMinimumMaximum± SEM**
Nutrient 
Ca 376.65 ± 259.46d* 68.35 596.04 2,471.95 ± 2,621.09b 627.83 6,870.23 1,464.91 ± 545.02c 841.14 2,092.52 2,500.78 ± 1,535.19b 728.38 3,414.39 3,382.20 ± 380.69a 3,113.01 3,651.39 ± 514.678 
248.34 ± 172.93d 95.43 465.63 1,665.96 ± 3,647.20c 10.81 8,190.13 388.21 ± 178.11d 155.73 589.82 3,879.98 ± 3,495.18b 31.97 6,857.99 8,440.99 ± 5,629.17a 4,460.57 12,421.41 ± 1,525.174 
Mg 258.32 ± 186.40b 51.87 439.65 478.16 ± 622.33b 174.01 1,590.39 1,179.97 ± 480.68a 572.31 1,726.01 1,059.03 ± 736.73a 208.75 1,507.25 1,263.19 ± 225.93a 1,103.43 1,422.94 ± 201.448 
Na 2,059.23 ± 1,466.73b 547.41 3,885.36 938.81 ± 1,190.06cd 314.40 3,061.84 665.08 ± 132.10d 474.26 767.90 2,739.09 ± 2,122.89ab 387.54 4,514.30 3,249.46 ± 959.75a 2,570.82 3,928.11 ± 499.739 
Cu 1.17 ± 0.65b 0.44 1.73 8.06 ± 2.61a 5.43 11.38 9.78 ± 2.94a 7.24 13.20 8.60 ± 2.59a 7.04 11.59 7.34 ± 2.29a 5.72 8.95 ± 1.509 
Fe 684.10 ± 636.00c 55.92 1,429.52 566.26 ± 166.62c 328.93 777.10 6,624.99 ± 2,749.66a 2,611.91 8,802.53 3,235.77 ± 2,599.05b 328.77 5,335.05 2,457.45 ± 1,191.60b 1,614.86 3,300.03 ± 1,103.793 
Mn 41.79 ± 48.04b 9.29 112.92 43.91 ± 78.67b 0.26 184.13 55.34 ± 33.85b 13.63 96.23 88.96 ± 75.31b 2.68 141.53 101.39 ± 33.13a 77.96 124.82 ± 12.180 
Se 8.3E-3 0.00 0.02 0.08 0.00 2.03 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 ± 0.016 
Zn 1.07 ± 0.79d 0.00 1.91 27.45 ± 9.27c 18.21 42.65 38.75 ± 9.67b 27.47 51.11 47.12 ± 9.17b 37.86 56.21 97.80 ± 74.59a 45.06 150.55 ± 15.869 
Non-nutrient                 
Ag 0.00b 0.00 0.00 0.20 ± 0/00b 0.00 4.91 1,304.23 ± 655.58a 0.00 2,611.91 0.00b 0.00 0.00 0.00b 0.00 0.00 ± 260.836 
Al 695.12 ± 514.52d 64.24 1,152.65 1,193.14 ± 267.10c 982.77 1,628.37 8,894.02 ± 2,712.53a 5,024.76 11,198.01 1,561.03 ± 1,264.87b 251.47 2,775.90 1,618.64 ± 753.82b 1,085.60 2,151.67 ± 1,534.275 
As 0.01 0.00 0.13 0.03 0.00 0.72 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 ± 0.006 
Ba 3.71 ± 3.57c 0.99 8.59 6.31 ± 13.42c 0.00 30.31 14.21 ± 7.86b 3.47 22.34 16.46 ± 14.26b 0.00 25.22 24.06 ± 4.05a 21.20 26.93 ± 3.652 
Cr 2.13 ± 2.06b 0.51 4.85 0.04c 0.00 0.89 16.48 ± 9.52a 3.40 24.03 4.56 ± 3.96b 0.00 7.05 4.34 ± 6.13b 0.00 8.67 ± 2.863 
Ni 0.18 ± 0.19 0.00 0.44 0.00 0.00 0.00 0.17 ± 0.18 0.00 0.43 0.00 0.00 0.00 0.00 0.00 0.00 ± 0.0429 
Pb 0.12 ± 0.08 0.00 0.18 0.00 0.00 0.00 0.03 ± 0.07 0.00 0.13 0.00 0.00 0.00 0.00 0.00 0.00 ± 0.023 
Th 1.91 ± 1.76c 0.13 3.92 10.84 ± 9.87b 4.25 27.68 22.44 ± 8.78a 10.61 30.77 11.92 ± 3.84b 7.50 14.42 9.44 ± 3.85b 6.72 12.16 ± 3.289 
Tl 0.02 ± 0.03** 0.00 0.05 0.31 ± 0.36 0.00 0.84 0.10 ± 0.18 0.00 0.37 0.09 ± 0.15 0.00 0.26 0.06 ± 0.09 0.00 0.12 ± 0.052 
0.43 ± 0.45c 0.03 0.96 2.88 ± 2.79a 0.69 6.61 3.69 ± 3.48a 0.03 6.70 1.36 ± 1.12b 0.43 2.60 2.41 ± 1.24b 1.54 3.29 ± 0.572 
0.72 ± 0.78b 0.00 1.58 0.00c 0.00 0.00 3.85 ± 3.17a 0.00 7.07 0.00c 0.00 0.00 0.00c 0.00 0.00 ± 0.747 
Vegetation (mgkg−1, dry weight)
Water (mg/L)
Sediments (mg kg−1, dry weight)
Mud (mg kg−1, dry weight)
P. stratiotes
T. natans
Element typeMeanMinimumMaximumMeanMinimumMaximumMeanMinimumMaximumMeanMinimumMaximumMeanMinimumMaximum± SEM**
Nutrient 
Ca 376.65 ± 259.46d* 68.35 596.04 2,471.95 ± 2,621.09b 627.83 6,870.23 1,464.91 ± 545.02c 841.14 2,092.52 2,500.78 ± 1,535.19b 728.38 3,414.39 3,382.20 ± 380.69a 3,113.01 3,651.39 ± 514.678 
248.34 ± 172.93d 95.43 465.63 1,665.96 ± 3,647.20c 10.81 8,190.13 388.21 ± 178.11d 155.73 589.82 3,879.98 ± 3,495.18b 31.97 6,857.99 8,440.99 ± 5,629.17a 4,460.57 12,421.41 ± 1,525.174 
Mg 258.32 ± 186.40b 51.87 439.65 478.16 ± 622.33b 174.01 1,590.39 1,179.97 ± 480.68a 572.31 1,726.01 1,059.03 ± 736.73a 208.75 1,507.25 1,263.19 ± 225.93a 1,103.43 1,422.94 ± 201.448 
Na 2,059.23 ± 1,466.73b 547.41 3,885.36 938.81 ± 1,190.06cd 314.40 3,061.84 665.08 ± 132.10d 474.26 767.90 2,739.09 ± 2,122.89ab 387.54 4,514.30 3,249.46 ± 959.75a 2,570.82 3,928.11 ± 499.739 
Cu 1.17 ± 0.65b 0.44 1.73 8.06 ± 2.61a 5.43 11.38 9.78 ± 2.94a 7.24 13.20 8.60 ± 2.59a 7.04 11.59 7.34 ± 2.29a 5.72 8.95 ± 1.509 
Fe 684.10 ± 636.00c 55.92 1,429.52 566.26 ± 166.62c 328.93 777.10 6,624.99 ± 2,749.66a 2,611.91 8,802.53 3,235.77 ± 2,599.05b 328.77 5,335.05 2,457.45 ± 1,191.60b 1,614.86 3,300.03 ± 1,103.793 
Mn 41.79 ± 48.04b 9.29 112.92 43.91 ± 78.67b 0.26 184.13 55.34 ± 33.85b 13.63 96.23 88.96 ± 75.31b 2.68 141.53 101.39 ± 33.13a 77.96 124.82 ± 12.180 
Se 8.3E-3 0.00 0.02 0.08 0.00 2.03 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 ± 0.016 
Zn 1.07 ± 0.79d 0.00 1.91 27.45 ± 9.27c 18.21 42.65 38.75 ± 9.67b 27.47 51.11 47.12 ± 9.17b 37.86 56.21 97.80 ± 74.59a 45.06 150.55 ± 15.869 
Non-nutrient                 
Ag 0.00b 0.00 0.00 0.20 ± 0/00b 0.00 4.91 1,304.23 ± 655.58a 0.00 2,611.91 0.00b 0.00 0.00 0.00b 0.00 0.00 ± 260.836 
Al 695.12 ± 514.52d 64.24 1,152.65 1,193.14 ± 267.10c 982.77 1,628.37 8,894.02 ± 2,712.53a 5,024.76 11,198.01 1,561.03 ± 1,264.87b 251.47 2,775.90 1,618.64 ± 753.82b 1,085.60 2,151.67 ± 1,534.275 
As 0.01 0.00 0.13 0.03 0.00 0.72 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 ± 0.006 
Ba 3.71 ± 3.57c 0.99 8.59 6.31 ± 13.42c 0.00 30.31 14.21 ± 7.86b 3.47 22.34 16.46 ± 14.26b 0.00 25.22 24.06 ± 4.05a 21.20 26.93 ± 3.652 
Cr 2.13 ± 2.06b 0.51 4.85 0.04c 0.00 0.89 16.48 ± 9.52a 3.40 24.03 4.56 ± 3.96b 0.00 7.05 4.34 ± 6.13b 0.00 8.67 ± 2.863 
Ni 0.18 ± 0.19 0.00 0.44 0.00 0.00 0.00 0.17 ± 0.18 0.00 0.43 0.00 0.00 0.00 0.00 0.00 0.00 ± 0.0429 
Pb 0.12 ± 0.08 0.00 0.18 0.00 0.00 0.00 0.03 ± 0.07 0.00 0.13 0.00 0.00 0.00 0.00 0.00 0.00 ± 0.023 
Th 1.91 ± 1.76c 0.13 3.92 10.84 ± 9.87b 4.25 27.68 22.44 ± 8.78a 10.61 30.77 11.92 ± 3.84b 7.50 14.42 9.44 ± 3.85b 6.72 12.16 ± 3.289 
Tl 0.02 ± 0.03** 0.00 0.05 0.31 ± 0.36 0.00 0.84 0.10 ± 0.18 0.00 0.37 0.09 ± 0.15 0.00 0.26 0.06 ± 0.09 0.00 0.12 ± 0.052 
0.43 ± 0.45c 0.03 0.96 2.88 ± 2.79a 0.69 6.61 3.69 ± 3.48a 0.03 6.70 1.36 ± 1.12b 0.43 2.60 2.41 ± 1.24b 1.54 3.29 ± 0.572 
0.72 ± 0.78b 0.00 1.58 0.00c 0.00 0.00 3.85 ± 3.17a 0.00 7.07 0.00c 0.00 0.00 0.00c 0.00 0.00 ± 0.747 

*Mean values denoted by different letters in a row significantly at p < 0.05.

**SEM, standard error of the means.

The high concentrations of nutrient elements observed in this study are associated with anthropogenic salinisation. This could be related to the increased pumping of saline groundwater by adjacent industries due to the lack of a provincial water system, increased industrial activities, and unrestricted deposition of industrial wastes into the lagoon and its adjoining rivers (Fajemila et al. 2020). High concentrations of nutrient elements, particularly in their chloride forms, can free up other freshwater pollutants, contribute to higher levels of corrosive chlorides in the water supply, and have adverse effects on water quality and the ecosystem, resulting in ecological shifts and degradation. In particular, Ca2+ and Mg2+ can shift the balance of positive and negative charges between the contiguous soil and freshwater, forcing metals and substances that emit radiation out of the soil and into the water. This probably accounts for the levels of U in the components of the Ologe Lagoon. The metals may become magnified down the food chain, leading to food composition changes as more salt-tolerant creatures take over, with greater implications for human consumers (Shechet 2021). Beyond concentration values, the ratios of these metals to one another (Na/K and Mg/Ca) have been shown to affect aquatic life. Some of these elements, particularly K, have been found to modulate the toxicity of other toxic elements, including Tl, because of their similar biogeochemical characteristics and behaviours at the cellular level (Tatsi et al. 2015). Different previous studies have substantiated increased salinisation of freshwater bodies resulting from metal chlorides and salts, and such reports are, however, non-existent on the present study site.

The high concentration values of Al and Fe in the samples correspond to a classical weathering product in tropical areas where the sediments are mainly composed of Al and Fe (Weber et al. 2013). Except for a few elements, sediment, mud, and the two vegetation types showed higher concentrations of the elements. It follows that sediment and mud adsorb pollutants from water, thereby lowering their concentration in the water. In the same vein, the metals are translocated into the plants, thus showing similar results. The presence of Al indicates the potential hazard that the consumption of Ologe Lagoon can cause, as Al is known to disrupt normal metabolism. Depending on water quality parameters, the tolerable concentration of Al for aquatic life ranges between 87 and 1,400 μg L−1 (U.S. EPA 2022a, 2022b). Several species of aquatic biota have shown sensitivity to Al toxicity that resulted in mortality in extreme cases (U.S. EPA 2022a, 2022b). Iron affects aquatic organisms by disturbing normal metabolism and osmoregulation and by changing the structure and quality of benthic habitats and food resources. Iron contamination may impact the biodiversity and abundance of periphyton, benthic invertebrates, and fishes (Heikkinen et al. 2022). In moderate doses, it is considered an essential nutrient for human health (Demiral et al. 2021). Recent reports have indicated increased Fe concentrations in freshwaters, thus raising concerns because of its vital role in biogeochemical processes (Bjorneras et al. 2017). Iron contributes to large-scale browning of freshwaters, resulting in staining, offensive appearances and tastes, and aesthetic and operational concerns. Iron in this study is more than the previous average reported for the same lagoon. Except for the nutrient and radionuclide elements not previously reported, the results in this study are consistent with the previous works (Adeboyejo et al. 2009; Bassey et al. 2019).

Uranium was available in all samples. The presence of U in the different components of Ologe Lagoon presents a disturbing scenario, with the average concentration increasing from the water to the sediment, mud, and the two types of vegetation. Uranium has significant chemical and radiological toxicity, with the potential for bioaccumulation and dispersion by aquatic biota (Bergmann & Graça 2020). Other radionuclides found in the various components of Ologe include Th and Tl, and the concentration of the elements increased from water to the other components, suggesting a bioaccumulation tendency. The presence of Th and Tl indicates the use of phosphate fertiliser, rare earth mining, and run-off from fertiliser-producing or milling plants at the Agbara Industrial Estate. Similar studies reported these concentrations from mining rivers in Portugal; 0.003–700 μg/L of Th had been measured in lakes close to mines, drainage water of U and Fe mines in southern Brazil, and coastal waters of Lagos, Nigeria (Carvalho et al. 2007; Omale et al. 2014; Doose et al. 2021). The release of Th into the environment is of concern, though the environmental risks associated with Th are still not well understood, particularly in aquatic ecosystems. The element has, however, been reported to decrease the abundance of bacteria and increase diatom, ciliate, and rotifer populations in a freshwater ecosystem, thereby increasing the plankton population for fishes. The concentration of Tl obtained in the water, sediment, mud, and vegetation of Ologe Lagoon is greater than 0.002 mg L−1, 1 mg kg−1, and 0.03–1 mg kg−1 allowed for drinking water, soil, and plants, respectively (Cvjetko et al. 2010); this may affect the lagoon ecosystem, threaten the fish catch, and disrupt other socio-economic activities around the lagoon. As shown in Table 2, the Tl concentration increased from water through the sediment to the two vegetation types. This observation is consistent with the report of Wallwork-Barber et al. (1985) that showed an increase in Tl concentration between water and the other ecosystem components, thus confirming its tendency to bioaccumulate. Thallium is recognised as a priority pollutant in freshwater ecosystems and more acutely toxic to mammals than As, Cu, Hg, Cd, Pb, and Zn but is still not regulated as part of the Water Framework Directive (Tatsi et al. 2015). Thallium concentrations as low as 10 μL−1 have been demonstrated to be toxic to different freshwater biota, including microalgae, macroalgae, amphipods, fish larvae, and other invertebrates at the bottom of the food web (Tatsi et al. 2015). However, K+ modulates Tl toxicity (Tatsi et al. 2015). The concentrations of non-nutrient elements (Pb, Cr, and Ag) in this study are lower than U.S. Environmental Protection Agency's (U.S. EPA) water and sediment quality guidelines for freshwater aquatic life (U.S. EPA 2022a, 2022b).

Table 2

Correlation coefficients of relationships between various mineral elements

CaKMgNaAgAlAsBaCrCuFeMnNiPbSeThTlUVZn
Ca                    
0.841                   
Mg 0.620 0.601                  
Na 0.433 0.798 0.293                 
Ag −0.278 −0.417 0.411 −0.635                
Al −0.181 −0.331 0.503 −0.584 0.994               
As 0.066 −0.294 −0.609 −0.499 −0.301 −0.332              
Ba 0.753 0.848 0.929 0.583 0.085 0.181 −0.586             
Cr −0.164 −0.239 0.593 −0.433 0.968 0.982 −0.502 0.292            
Cu 0.628 0.231 0.732 −0.237 0.463 0.543 0.003 0.542 0.516           
Fe 0.008 −0.080 0.741 −0.272 0.885 0.922 −0.587 0.458 0.967 0.636          
Mn 0.757 0.907 0.783 0.801 −0.226 −0.130 −0.566 0.934 0.005 0.372 0.215         
Ni −0.899 −0.698 −0.287 −0.448 0.582 0.501 −0.301 −0.462 0.501 −0.443 0.316 −0.560        
Pb −0.906 −0.560 −0.649 −0.097 −0.001 −0.096 −0.152 −0.631 −0.079 −0.877 −0.246 −0.577 0.813       
Se 0.203 −0.211 −0.467 −0.497 −0.250 −0.265 0.985 −0.462 −0.434 0.168 −0.492 −0.465 −0.403 −0.314      
Th 0.201 −0.122 0.661 −0.511 0.847 0.890 −0.170 0.3551 0.860 0.863 0.887 0.084 0.071 −0.520 −0.043     
Tl 0.319 −0.182 −0.242 −0.554 −0.076 −0.070 0.902 −0.308 −0.234 0.434 −0.255 −0.355 −0.462 −0.512 0.959 0.218    
0.386 0.0262 0.519 −0.558 0.673 0.712 0.187 0.313 0.620 0.805 0.591 0.001 −0.100 −0.604 0.310 0.850 0.499   
−0.443 −0.513 0.284 −0.640 0.982 0.959 −0.327 −0.033 0.937 0.291 0.824 −0.328 0.724 0.187 −0.307 0.734 −0.173 0.5461  
Zn 0.863 0.927 0.824 0.574 −0.059 0.036 −0.364 0.956 0.112 0.504 0.257 0.890 −0.593 −0.688 −0.243 0.244 −0.131 0.3596 −0.185 
CaKMgNaAgAlAsBaCrCuFeMnNiPbSeThTlUVZn
Ca                    
0.841                   
Mg 0.620 0.601                  
Na 0.433 0.798 0.293                 
Ag −0.278 −0.417 0.411 −0.635                
Al −0.181 −0.331 0.503 −0.584 0.994               
As 0.066 −0.294 −0.609 −0.499 −0.301 −0.332              
Ba 0.753 0.848 0.929 0.583 0.085 0.181 −0.586             
Cr −0.164 −0.239 0.593 −0.433 0.968 0.982 −0.502 0.292            
Cu 0.628 0.231 0.732 −0.237 0.463 0.543 0.003 0.542 0.516           
Fe 0.008 −0.080 0.741 −0.272 0.885 0.922 −0.587 0.458 0.967 0.636          
Mn 0.757 0.907 0.783 0.801 −0.226 −0.130 −0.566 0.934 0.005 0.372 0.215         
Ni −0.899 −0.698 −0.287 −0.448 0.582 0.501 −0.301 −0.462 0.501 −0.443 0.316 −0.560        
Pb −0.906 −0.560 −0.649 −0.097 −0.001 −0.096 −0.152 −0.631 −0.079 −0.877 −0.246 −0.577 0.813       
Se 0.203 −0.211 −0.467 −0.497 −0.250 −0.265 0.985 −0.462 −0.434 0.168 −0.492 −0.465 −0.403 −0.314      
Th 0.201 −0.122 0.661 −0.511 0.847 0.890 −0.170 0.3551 0.860 0.863 0.887 0.084 0.071 −0.520 −0.043     
Tl 0.319 −0.182 −0.242 −0.554 −0.076 −0.070 0.902 −0.308 −0.234 0.434 −0.255 −0.355 −0.462 −0.512 0.959 0.218    
0.386 0.0262 0.519 −0.558 0.673 0.712 0.187 0.313 0.620 0.805 0.591 0.001 −0.100 −0.604 0.310 0.850 0.499   
−0.443 −0.513 0.284 −0.640 0.982 0.959 −0.327 −0.033 0.937 0.291 0.824 −0.328 0.724 0.187 −0.307 0.734 −0.173 0.5461  
Zn 0.863 0.927 0.824 0.574 −0.059 0.036 −0.364 0.956 0.112 0.504 0.257 0.890 −0.593 −0.688 −0.243 0.244 −0.131 0.3596 −0.185 

As indicated in Table 2, Na, Mg, and K correlated very strongly with Zn; Mg, Cr, and Al correlated very strongly with Fe; Cr and Al also correlated very strongly. A strong correlation was observed between Al and Mg, Cr and Mg, and Na and Mg, while Ba correlated moderately with K and Mg, Cr and Ba, Cu and Na also correlated moderately. These correlations suggested common behaviours and that the elements accumulated from similar sources of pollution. The finding in this study is in agreement with previous reports from other water bodies in different countries that a significant correlation between metals indicates redistribution in the sediments by similar physicochemical processes or that they originate from a common source.

The correlation matrix in Table 3 depicts the degree of relationship existing between water, sediment, mud, and vegetation of Ologe Lagoon. Results show very strong to strong relationships between water and the other components (p < 0.05) concerning their elemental contents, except for T. napans. The poor elemental content (Table 2) and the correlation of T. napans with the other components of Ologe Lagoon suggest its suitability as a plant food source for herbivorous vertebrates and invertebrates of the freshwater ecosystem.

Table 3

Correlation coefficient of the relationships between various samples

WaterSedimentMudP. stratiotesT. natans
Water     
Sediments 0.47080846    
Mud 0.38694793 0.39107713   
P. stratiotes 0.65662427 0.82184275 0.4805169  
T. natans 0.45099146 0.79990692 0.22563984 0.9116358 
WaterSedimentMudP. stratiotesT. natans
Water     
Sediments 0.47080846    
Mud 0.38694793 0.39107713   
P. stratiotes 0.65662427 0.82184275 0.4805169  
T. natans 0.45099146 0.79990692 0.22563984 0.9116358 

Three principal components with Eigen values greater than unity were extracted, with a cumulative contribution of 82.27%, as shown in Table 4. Potassium, Mg, Na, and Zn contributed 40.847% of the variation observed in the water, sediments, mud, and vegetation examined in Ologe Lagoon, while Mg, Al, Cr, and Fe contributed 27% of the variation observed, and Ba contributed 13.688% of the variation observed in the lagoon.

Table 4

Principal component analysis (PCA) of elements in water, sediments, mud, P. stratiotes, and T. natans of Ologe Lagoon

Component 1Component 2Component 3
Ca 0.403 0.054 −0.109 
0.925 −0.080 0.185 
Mg 0.644 0.734 0.104 
Na 0.863 −0.069 −0.115 
Al −0.100 0.977 0.024 
Ba 0.389 0.256 0.811 
Cr −0.104 0.905 0.344 
Cu 0.453 0.055 −0.784 
Fe 0.208 0.962 −0.121 
Zn 0.890 0.188 0.067 
Initial eigenvalue 4.085 2.774 1.369 
% Variance 40.847 27.736 13.688 
Component 1Component 2Component 3
Ca 0.403 0.054 −0.109 
0.925 −0.080 0.185 
Mg 0.644 0.734 0.104 
Na 0.863 −0.069 −0.115 
Al −0.100 0.977 0.024 
Ba 0.389 0.256 0.811 
Cr −0.104 0.905 0.344 
Cu 0.453 0.055 −0.784 
Fe 0.208 0.962 −0.121 
Zn 0.890 0.188 0.067 
Initial eigenvalue 4.085 2.774 1.369 
% Variance 40.847 27.736 13.688 

Pollution indices

Suitability evaluation of the lagoon water for irrigation

The SAR, %Na, and KI of Ologe Lagoon were 81.72, 78.4%, and 3.24, respectively, as shown in Table 5. These values indicate that the lagoon water is unsuitable for irrigation purposes because it leads to the breakdown of soil aggregates. The soil becomes hard and compact when dry, which reduces the infiltration rates of water and air into the soil, and affects its structure. High saline water causes plant roots to undergo a reverse osmotic process, resulting in stunted growth, wilting, and eventual death. Other implications of these indices include waterlogging issues, groundwater contamination, losses in soil fertility, and other associated secondary impacts on the dependent ecosystem that may affect food security (Mohanavelu et al. 2021).

Table 5

Pollution status of water of Ologe Lagoon

Pollution characteristicWater
WPI  
SAR 81.72 
% Sodium 78.4 
KI 5.24 
WQI 6.47 
Nemerow comprehensive pollution index  5.87 
Pollution characteristicWater
WPI  
SAR 81.72 
% Sodium 78.4 
KI 5.24 
WQI 6.47 
Nemerow comprehensive pollution index  5.87 

WQI and Nemerow index

The WQI of 6.47 for the water of Ologe Lagoon, as indicated in Table 5, is within the 0–25 (excellent) WQI, suggesting the suitability of the water for drinking. The calculated Nemerow comprehensive pollution index (5.87), however, suggested heavy pollution of the sediment (Kowalska et al. 2018).

The increased salinity of Ologe Lagoon water as shown by the pollution status (Table 5) may lead to a decrease in leaf water potential, relative water content, and gas exchange parameters and result in increased sodium and chloride uptake (Rawat et al. 2018). Plants accumulate sodium in their roots and restrict its translocation to the aerial part when irrigated with high-salinity water. High salt levels in the water produce oxidative stress in plants, resulting in an increase in electrolyte leakage and lipid peroxidation (Oyedeji et al. 2022).

The potential ecological risk index

The PERI values for the sediment and mud of the Ologe Lagoon were 5.3 and 5.92, respectively, suggesting a low ecological risk for the elements. Copper presented the highest ecological risk concerning single regulator indexes in both the sediment and mud, notwithstanding its low concentration. Copper was followed by Zn and Cr in the sediment and mud samples, respectively. Though both had low toxicity coefficients, they had a higher ecological risk compared to other non-nutrient elements.

Enrichment factor

The EF for the various elements in the sediment and mud is shown in Table 6. Except for Cr, Cu, and Tl, all of the elements studied were significantly more abundant in the sediments than those in the mud. The average concentration value of the elements yielded lower EF values compared to the maximum elemental concentration in the brackets. Except for Ba and Ni, which could be regarded as products of weathering, the other elements in the sediment of Ologe Lagoon are attributable to pollution from biota or drainage sources. The nutrient elements, such as Ba, Mn, and Tl, in the mud are products of weathering. While Mg and Na had minor enrichment in the sediment, K had moderate enrichment. The sediment had severe enrichment with Ca and Na, very severe enrichment with Cu, Tl, and Zn, and extremely severe enrichment with Th and U. The mud had had minor enrichment with Cr, Cu, and Zn; moderate enrichment with U; and very severe enrichment with Th. The difference in the EF values between the sediment and mud is related to their grain size, which determines metal adsorption and removal.

Table 6

EF for elements in the sediment and mud of Ologe Lagoon

SedimentMud
Element   
Ca 7.45 (15.26) 0.6 (0.68) 
4.20 (15.13) 0.13 (0.7) 
Mg 2.14 (5.21) 0.71 (0.82) 
Na 6.56 (15.67) 0.62 (0.57) 
Ba 0.73 (2.55) 0.22 (0.27) 
Cr 0.66 1.64 (1.9) 
Cu 12.06 (12.14) 1.96 (1.96) 
Mn 3.47 (10.65) 0.59 (0.81) 
Ni 0.05 (0.05)  
Th 60.57 (113.35) 16.82 (18.32) 
Tl 14.85 (29.48) 0.64 (1.89) 
52.25 (87.86) 8.92 (12.95) 
 0.26 (3.87) 
Zn 19.36 (22.05) 3.67 (3.84) 
SedimentMud
Element   
Ca 7.45 (15.26) 0.6 (0.68) 
4.20 (15.13) 0.13 (0.7) 
Mg 2.14 (5.21) 0.71 (0.82) 
Na 6.56 (15.67) 0.62 (0.57) 
Ba 0.73 (2.55) 0.22 (0.27) 
Cr 0.66 1.64 (1.9) 
Cu 12.06 (12.14) 1.96 (1.96) 
Mn 3.47 (10.65) 0.59 (0.81) 
Ni 0.05 (0.05)  
Th 60.57 (113.35) 16.82 (18.32) 
Tl 14.85 (29.48) 0.64 (1.89) 
52.25 (87.86) 8.92 (12.95) 
 0.26 (3.87) 
Zn 19.36 (22.05) 3.67 (3.84) 

Note: The values obtained from the mean concentration of each metal are indicated followed by those from the maximum concentrations in brackets.

The geo-accumulation index (Igeo)

The geo-accumulation index (Igeo) values as shown in Table 7 were used to assess metal pollution in the sediments of Ologe Lagoon. The results of the Igeo value for all elements fall in class 0, indicating no pollution across the seasons. The Igeo is associated with a qualitative scale of pollution intensity with seven classes. The two extremes of the classification are Igeo ≤ 0 and Igeo ≥ 5, which indicate unpolluted and extremely polluted sediments, respectively.

Table 7

Geological accumulation index

Element
Cr 2.1 1.5 67.30 −5.644 
Cu 1.2 1.5 22.50 −4.796 
Pb 0.1 1.5 21.00 −8.301 
Ni 0.2 1.5 31.00 −7.861 
Zn 1.1 1.5 65.40 −6.48 
Element
Cr 2.1 1.5 67.30 −5.644 
Cu 1.2 1.5 22.50 −4.796 
Pb 0.1 1.5 21.00 −8.301 
Ni 0.2 1.5 31.00 −7.861 
Zn 1.1 1.5 65.40 −6.48 

BCF of elements in P. stratiotes and T. natans

The BCF of elements in P. stratiotes and T. natans is shown in Table 8. The ability of T. natans to bio-concentrate Zn makes it a potential candidate for the phytostabilisation and phytoremediation of Zn compared to P. stratiotes. Barium, Cr, Cu, Th, and U can be phytoremediated alongside Zn in any Zn-impacted soil by the two vegetation types because plant species with BCF values >1 have demonstrated potential success for phytoremediation for those elements.

Table 8

Bioconcentration factor of elements in P. stratiotes and T. natans

ElementsAlCaKMgNaBaCrCuFeMnZnThUTl
P. stratiotes 0.2 0.6 0.04 0.3 0.1 4.5 2.2 7.2 0.3 0.3 42.8 6.3 3.5 
T. natans 6.5 6.1 0.4 88.9 4.9 0.3 
ElementsAlCaKMgNaBaCrCuFeMnZnThUTl
P. stratiotes 0.2 0.6 0.04 0.3 0.1 4.5 2.2 7.2 0.3 0.3 42.8 6.3 3.5 
T. natans 6.5 6.1 0.4 88.9 4.9 0.3 

Biota sediment accumulation factor

P. stratiotes and T. natans, as shown in Table 9, have BSAF values greater than 2 for Ba, Cr, and Mn and can therefore be regarded as macro-concentrators and bio-indicators for those elements. This assertion agrees with the BCF values for the different elements except for Mn. P. stratiotes can be regarded as a micro-concentrator for Cu and Th; and a de-concentrator for the nutrient elements Al, Zn, and U, thus releasing them into the sediment. T. natans may also be the source of Th, Tl, and U in the sediment of Ologe Lagoon according to this classification.

Table 9

Biota sediment accumulation factor for P. stratiotes and T. natans

ElementsAlCaKMgNaBaCrCuFeMnZnThUTl
P. stratiotes 0.2 0.9 0.4 0.4 0.4 2.6 23 1.1 0.2 0.5 1.1 0.5 
T. natans 3.8 21.5 0.9 2.3 1.04 0.9 0.8 0.3 
ElementsAlCaKMgNaBaCrCuFeMnZnThUTl
P. stratiotes 0.2 0.9 0.4 0.4 0.4 2.6 23 1.1 0.2 0.5 1.1 0.5 
T. natans 3.8 21.5 0.9 2.3 1.04 0.9 0.8 0.3 

The results from this study showed high concentrations of nutrient elements in the different components of the Ologe Lagoon ecosystem. A higher concentration of the various nutrient elements (Ca, Mg, K, and Na) was detected. Arsenic, Cr, Ag, and Se were detected once at different times in water and the sediment at concentrations below permissible levels. Higher nutrient element concentrations in the study are attributable to anthropogenic salinisation activities in the adjoining industries whose wastewater feeds the lagoon. Aluminium and Fe resulting from classical weathering were the elements with the highest concentration. The non-nutrient elements showed lower concentration values and were lower than the permissible quality guidelines for freshwater aquatic life. Uranium, Th, and Tl were detected in increasing concentrations in water compared to the other media, suggesting bioaccumulation. There was a strong correlation between the elemental content of water and the other components of Ologe Lagoon, except for T. napans. The WQI for the water of Ologe Lagoon indicated its suitability for drinking, while the Nemerow comprehensive pollution index suggested heavy pollution of the sediment. However, the results of the Igeo values for all elements fall in class 0, indicating no pollution across the seasons. The high salinity of Ologe water as shown by the SAR, %Na, and KI values indicated its unsuitability for irrigation purposes or the need for advanced technology for salt reduction before use. T. natans and P. stratiotes showed a potent accumulation of Zn; however, they can be recommended as emergent hydrophytes for the phytoremediation of Ba, Cr, Cu, Zn, Th, and U because of their BCF and BSAF values for the elements. While the results from this study are necessary for efficient and strategic water management and drainage practices that avoid the accumulation of salts in water, the effects of water from the lagoon on the metabolism and physiology of plants and human metabolism via animal studies should be investigated to assure water security.

The authors are grateful to the late Dr Raheem A. Oloyo, a former rector of the Federal Polytechnic, Ilaro, for reading through the manuscript and providing useful comments. Sadly, Dr Oloyo passed away during the review process. We commiserate with his family and former colleagues.

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict.

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