Effect of site on sedimentological characteristics and metal pollution in two semi-enclosed embayments of great freshwater reservoir: Lake Nasser, Egypt

Farhat, Hassan I.; Aly, Walid

doi:10.1016/j.jafrearsci.2018.02.012

Cited by 19 publications

(8 citation statements)

References 25 publications

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“…However, the relationship between HMs and silt was stronger. Farhat and Aly [28] suggest that organic matter was more critical than grain size in controlling HM distribution in sediment. Different results were obtained by Frémion et al [23], who found no relationships between trace elements and organic fraction.…”

Section: Discussionmentioning

confidence: 99%

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Heavy Metals in Bottom Sediments of Reservoirs in the Lowland Area of Western Poland: Concentrations, Distribution, Sources and Ecological Risk

Sojka

Jaskuła

Siepak

2018

Water

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The paper presents the results of a study of heavy metals (HMs) concentrations in six retention reservoirs located in the lowland area of western Poland. The objectives of this study were to analyze the Cd, Cr, Cu, Ni, Pb and Zn concentrations, assess contamination and ecological risk, analyze the spatial variability of HM concentrations and identify potential sources and factors determining the concentration and spatial distribution. The bottom sediment pollution by HMs was assessed on the basis of the index of geo-accumulation (Igeo), enrichment factor (EF), pollution load index (PLI) and metal pollution index (MPI). To assess the ecological risk associated with multiple HMs, the mean probable effect concentration (PEC) quotient (Qm-PEC) and the toxic risk index (TRI) were used. In order to determine the similarities and differences between sampling sites in regard to the HM concentration, cluster analysis (CA) was applied. Principal component analysis (PCA) was performed to assess the impact of grain size, total organic matter (TOM) content and sampling site location on HM spatial distribution. Additionally, PCA was used to assess the impact of catchment, reservoir characteristics and hydrological conditions. The values of Igeo, EF, MPI and PLI show that Cd, Cr, Cu, Ni and Pb mainly originate from geogenic sources. In contrast, Zn concentrations come from point sources related to agriculture. The mean PEC quotient (Qm-PEC) and TRI value show that the greatest ecological risk occurred at the inlet to the reservoir and near the dam. The analysis showed that the HMs concentration depends on silt and sand content. However, the Pb, Cu, Cd and Zn concentrations are associated with TOM as well. The relationship between individual HMs and silt was stronger than with TOM. The PCA results indicate that HMs with the exception of Zn originate from geogenic sources—weathering of rock material. However, the Ni concentration may additionally depend on road traffic. The results show that a reservoir with more frequent water exchange has higher HMs concentrations, whereas the Zn concentration in bottom sediments is associated with agricultural point sources.

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Section: Discussionmentioning

confidence: 99%

“…Fine-grain sediments contain higher HM concentrations [27], which is related to higher magnetic susceptibility [8]. Farhat and Aly [28] suggested that the organic matter was more important in controlling HM distribution. Organic matter was a key mediator for ecological risk [29].…”

Section: Introductionmentioning

confidence: 99%

Heavy Metals in Bottom Sediments of Reservoirs in the Lowland Area of Western Poland: Concentrations, Distribution, Sources and Ecological Risk

Sojka

Jaskuła

Siepak

2018

Water

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“…Higher PTM concentrations are seen in fine-grained sediments [31], which are linked to higher magnetic susceptibility. Organic matter, according to Farhat and Aly [32], was more significant in governing PTM distribution. Organic matter was also found to be a significant indicator for ecological risk [33].…”

Section: Introductionmentioning

confidence: 91%

Utilization of Pollution Indices, Hyperspectral Reflectance Indices, and Data-Driven Multivariate Modelling to Assess the Bottom Sediment Quality of Lake Qaroun, Egypt

Saleh

Elsayed

Gad

et al. 2022

Water

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Assessing the environmental hazard of potentially toxic elements in bottom sediments has always been based entirely on ground samples and laboratory tests. This approach is remarkably accurate, but it is slow, expensive, damaging, and spatially constrained, making it unsuitable for monitoring these parameters effectively. The main goal of the present study was to assess the quality of sediment samples collected from Lake Qaroun by using different groups of spectral reflectance indices (SRIs), integrating data-driven (Artificial Neural Networks; ANN) and multivariate analysis such as multiple linear regression (MLR) and partial least square regression (PLSR). Jetty cruises were carried out to collect sediment samples at 22 distinct sites over the entire Lake Qaroun, and subsequently 21 metals were analysed. Potential ecological risk index (RI), organic matter (OM), and pollution load index (PLI) of lake’s bottom sediments were subjected to evaluation. The results demonstrated that PLI showed that roughly 59% of lake sediments are polluted (PLI > 1), especially samples of eastern and southern sides of the lake’s central section, while 41% were unpolluted (PLI < 1), which composed samples of the western and western northern regions. The RI’s findings were that all the examined sediments pose a very high ecological risk (RI > 600). It is obvious that the three band spectral indices are more efficient in quantifying different investigated parameters. The results showed the efficiency of the three tested models to predict OM, PLI, and RI, revealing that the ANN is the best model to predict these parameters. For instance, the determination coefficient values of the ANN model of calibration datasets for predicting OM, PLI, and RI were 0.999, 0.999, and 0.999, while they were 0.960, 0.897, and 0.853, respectively, for the validation dataset. The validation dataset of the PLSR produced R2 values higher than with MLR for predicting PLI and RI. Finally, the study’s main conclusion is that combining ANN, PLSR, and MLR with proximal remote sensing could be a very effective tool for the detection of OM and pollution indices. Based on our findings, we suggest the created models are easy tools for forecasting these measured parameters.

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“…The area of the Lake is about 5000 km 2 . The mean depth is 90 m and the maximum width is about 60 km (Farhat and Aly 2018).…”

Section: Lakes Water Samplesmentioning

confidence: 97%

Diversity and Characterization of the Bacterial Communities of Different Water Resources in Egypt Concerning Contamination Type

Zaghloul

2021

Annals of Agricultural Science, Moshtohor

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The habitat of microorganisms is different from one to another, some are naturally found in water environment, others are introduced due to different sources of contamination. The present study aimed to characterize the bacterial community of diverse water resources in Egypt in relation to the contamination source pursued them. So, water samples were collected from seven different water resources; groundwater, Nile River water, agricultural drainage water (El-Hussieniya drain), sewage contaminated drain (Bahr El-Baqr drain), industrial wastes contaminated drain (Al-Khadrawiya drain), fresh water Lake (Nasser Lake) and brackish water Lake (Qaroun Lake).A total of 2218 bacterial isolates were collected, purified and identified by means of biochemical reactions and 16S rDNA sequence analysis to 21 bacterial genera. The sewage contaminated drain water (Bahr El-Baqr drain) has the highest diverse bacterial community, while the fresh water (Nasser) Lake has the lowest diverse community due to lake of contamination. In addition, Bacillus, Pseudomonas and Staphyllococcus were the most popular genera, where they have been detected in all types of water resources. The less popular genera were Yersinia, Klebsiella, Aerumonas, Shigella, Salmonella, Cardiobacterium, Arthrobacter and Streptobacillus, where they all have been detected once.

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Effect of site on sedimentological characteristics and metal pollution in two semi-enclosed embayments of great freshwater reservoir: Lake Nasser, Egypt

Cited by 19 publications

References 25 publications

Heavy Metals in Bottom Sediments of Reservoirs in the Lowland Area of Western Poland: Concentrations, Distribution, Sources and Ecological Risk

Heavy Metals in Bottom Sediments of Reservoirs in the Lowland Area of Western Poland: Concentrations, Distribution, Sources and Ecological Risk

Utilization of Pollution Indices, Hyperspectral Reflectance Indices, and Data-Driven Multivariate Modelling to Assess the Bottom Sediment Quality of Lake Qaroun, Egypt

Diversity and Characterization of the Bacterial Communities of Different Water Resources in Egypt Concerning Contamination Type

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