Distribution and Ecological Risk Assessment of Heavy Metals in Core Sediments of Burullus Lake, Egypt

El‐Amier, Yasser A.; El-Alfy, Muhammad A.; Darwish, Dina H.; Basiony, Afifi I.; Mohamedien, Lamiaa I.; El-Moselhy, Khalid M.

doi:10.21608/ejabf.2021.156793

Cited by 10 publications

(5 citation statements)

References 24 publications

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“…Going forward to quantifying the overall potential ecosystem risk associated with heavy metals in Nworie water, the value of the risk index (Ir) ranged from 9.738 in the middle river to 27.520 in the lower river, and the range was below 150 indicating low ecological risk index (Hakason, 1980). The result of Ir also differs from the finding of El-Amier et al (2022) who observed that the risk index values in the lake showed very high ecosystem risk (> 600) in Lake Qarun Wetland, Egypt, with Cd 2+ accounting for most of the total risk factor, but below ≤ 40 of Er, which is consistent with the finding of Yuguda et al (2020) in river water and sediment in Gashua Towa, Yobe, Nigeria. The result is against the finding of Zang et al (2018) who observed Cd with high risk that associated with public health concern worldwide.…”

Section: Contamination Factor (C F )supporting

confidence: 54%

Environmental pollution loads on surface water chemistry and potentially ecological risks of inland aquatic ecosystem in South-Eastern State, Nigeria

et al. 2023

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The study assessed water chemistry of Nworie inland aquatic ecosystem in South eastern, Nigeria from January, 2020 to December 2022. Water samples were taken from the upper, middle, and lower river at 200 m interval. Data collected were subjected to multivariate analyses. Results of physicochemical tracers indicated mean CaCO3, Ca2+&Chemical Oxygen Demand (COD) to be 172.8 mg/l, 103.1 mg/l, 16.50 mg/l respectively above the World Health Organisation (WHO) critical limits, while turbidity (NTU), dissolved oxygen (DO) mgl−1, chloride (Cl−) mg/l, Magnesium (Mg) mg/l, Sodium (Na) mg/l, sulphate (SO42+) mg/l, nitrate (NO3−) mg/l, potassium (K) mg/l and phosphate (PO34) were below the limits. Heavy metals (mg/l) showed mean values viz: Cd 2+(0.053), Cr2+(0.049), Fe2+(0.443), Ni2+(0.024), and Pb (0.787) which were all above some critical global limits, except for Cu2+ and Zn2+ and in decreasing abundance: Pb2+ ≥ Fe2+ ≥ Cu2+ ≥ Zn2+ ≥ Cd2+ ≥ Cr2+ ≥ Ni2. Physicochemical tracers and elements in water correlated in both positive and negative directions. Principal component analysis (PCA) showed significant loads of PC3; CaCO3, NO3, COD, DO, Ca, PO4, Cu, Fe, Zn, PC2; moderate loads of SO4, Cl, & Na originating from complex human activities. Contamination factor (Cf), recorded high for cadmium while pollution load & ecological risk recorded low in decreasing order: Cr2+ ≥ Zn2+ ≥ Ni2+ ≥ Cd2+ ≥ Pb2+ ≥ Cu2+ ≥ Fe2+ with contamination degree in order of: Lower River (LR) ≥ Upper River(UR) ≥ Middle River(MR) and low risk index. Continuous monitoring of human activities along the whole River is important to mitigate any aquatic ecosystem damage for water quality sustainability.

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Section: Contamination Factor (C F )supporting

confidence: 54%

Environmental pollution loads on surface water chemistry and potentially ecological risks of inland aquatic ecosystem in South-Eastern State, Nigeria

et al. 2023

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“…PCA is frequently used together with correlation analysis and is considered a useful tool to identify and evaluate potential sources of metals [5,22,28,[31][32][33]67]. The PCA results that are shown in Figure 5, confirm those obtained from the Pearson correlation between the studied heavy metals in the drain water and sediments.…”

Section: Pca Analysissupporting

confidence: 63%

“…PCA applied to metals in the drain sediments indicated highly significant correlations between Ba, As, Cu, Cr, Mn, Ni, Pb, Zn, Fe, and Al, however, V showed no correlations with other metals (Figure 5b). The metals that are positively correlated with each other most likely come from a common source [31]. The PCA revealed that anthropogenic activities may influence the sources of Ba, As, Cu, Cr, Mn, Ni, Pb, Zn, Fe, and Al in sediments, while V would come from different anthropogenic sources (Figure 5b).…”

Section: Pca Analysismentioning

confidence: 99%

“…Different origins and point/non-point pollution sources could be attributed to the spatial variation of heavy metal concentrations in soil and sediments [1,5,14,15,27,28]. As a result, several metal pollution assessment indices, including enrichment factor, contamination factor, pollution load index, and index of geo-accumulation, were created to assess the potential source and pollution level of heavy metals in the examined soil/sediment samples [1,5,11,21,24,27,[29][30][31][32][33][34].…”

Section: Introductionmentioning

confidence: 99%

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Assessment and Spatiotemporal Variability of Heavy Metals Pollution in Water and Sediments of a Coastal Landscape at the Nile Delta

Abdelaal

Abdelkader²,

Alshehri³

et al. 2022

Water

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This study assessed the spatiotemporal variability and pollution grades of heavy metals in water and sediments of Bahr El-Baqar drain, Eastern Nile Delta, Egypt, by integration of geochemical analysis, metal pollution indices, correlation, and multivariate statistical analyses. Twenty samples of water and sediments were collected during 2018 and analyzed for heavy metal concentrations using ICP-OES. Heavy metal contents in the water samples followed the order: Fe > Zn > Al > Pb > Mn > Cu > Ni. The drain sediments were highly contaminated with heavy metals that followed the order: Fe > Al > Mn > V > Zn > Cu > Cr > Ba > Ni > Pb > As. Spatiotemporally, most metals in the drain sediments showed a decreasing trend from upstream (south) to downstream sites (north). Results of principal component analysis (PCA) supported those from the Pearson correlation between investigated heavy metals. In water, Mn, Ni, Pb, Zn, Cu, and Fe showed highly significant correlations. In sediments, Ba, Ni, Zn, Fe, Al, Mn, and V showed strong positive correlations indicating that these metals were derived from similar anthropogenic sources. The calculated metal pollution indices: enrichment factor (EF), contamination factor (CF), pollution load index (PLI), degree of contamination (DC), and index of geo-accumulation (Igeo) indicated high loadings of heavy metals in the drain sediments. EFs revealed low, moderate to significant enrichment, whereas CFs showed low, moderate, and considerable contamination. PLI indicated low, baseline, and progressive contamination, while DC indicated low, moderate, and considerable degree of contamination. Igeo of all investigated metals (except for As; class 1) indicated extremely contaminated sediments (class 7).

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“…Recently, some studies [35,42] have efforts to present Equations (4-5) that show the effects of Ca 2+ , Mg 2+ , Na + , HCO3 − and CO3 2− interactions for irrigation water quality purposes. Concentrations of carbonate and bicarbonate play a significant role of determination water irrigation suitability that carbonate concentration more than total concentrations of calcium and magnesium with high excess carbonate residual.…”

Section: Total Alkalinity (Carbonate and Bicarbonates) Hazardmentioning

confidence: 99%

Pollution Indices and Ecological Evaluation for Wastewater in Industrial Areas

et al. 2022

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Wastewaters from Tenth Ramadan and El-Obour cities and El-Khadrwia drain verify their environmental effects. The research focused to study Wastewater Quality Index (WQI) and their suitability for irrigation and aquatic life during 2018-2019. The data showed almost of chemical parameters were unacceptable for water irrigation suitability that used to derive criteria and guidelines of hazards ions interactions, FAO for irrigation and Canadian Water Quality Guidelines for aquatic organism. The results indicate that there is no effect of metals in the case of wastewater use for agricultural purposes, whereas for aquatic life, all measured metals except Fe +3 , Mn +2 , Pb +2 , Zn +2 and Cu +2 show different degrees of contamination in wastewaters of investigated areas. The obtained results indicated organic pollution values of examined variables were higher than the recommended standards and they were major waste impacts. They supported by Organic Pollution Index (OPI) evaluation that ranged from 15 to 822 while the maximum Comprehensive Pollution Index (CPI) and OPI values were (16.1 and 822) for cheese whey wastewater at El-Obour City affects aquatic environmental live in this area and producing healthy harms. The study concluded primary treatment removed 50-60% of pollution. So, study recommended use nanoparticles with low cost to acquire positive ecological impacts and increase national goals.

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Distribution and Ecological Risk Assessment of Heavy Metals in Core Sediments of Burullus Lake, Egypt

Cited by 10 publications

References 24 publications

Environmental pollution loads on surface water chemistry and potentially ecological risks of inland aquatic ecosystem in South-Eastern State, Nigeria

Environmental pollution loads on surface water chemistry and potentially ecological risks of inland aquatic ecosystem in South-Eastern State, Nigeria

Assessment and Spatiotemporal Variability of Heavy Metals Pollution in Water and Sediments of a Coastal Landscape at the Nile Delta

Pollution Indices and Ecological Evaluation for Wastewater in Industrial Areas

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