Enrichment and geoaccumulation of heavy metals and risk assessment of sediments from coast of Ain Temouchent (Algeria)

Kouidri, Mohamed; Youcef, Nacéra Dali; Benabdellah, Imane; Ghoubali, Rachida; Bernoussi, Assia; Lagha, A.

doi:10.1007/s12517-016-2377-y

Cited by 37 publications

(27 citation statements)

References 23 publications

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“…In the study, it was noted that Enrichment Factor of Zn in all sites is ≥ 3 which was classified as having moderate enrichment (Table 5). Moderate enrichment of Zn to sediment had also been reported by Kouidri et al (2016) in a study conducted in Ain Tomouchent, Algeria.…”

Section: Pollution Of Lake Sedimentssupporting

confidence: 56%

Geochronological and spatial distribution of heavy metal contamination in sediment from Lake Naivasha, Kenya

Maina

Sang

Raude

et al. 2019

Journal of Radiation Research and Applied Sciences

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Sediment cores hold large information on the history of human interactions with lakes and surrounding environments. Hence, this study investigated the geochronological and heavy metals characteristics of sediment from Lake Naivasha, Kenya. Geochronological characteristics were established from sediment cores, using 210 Pb and 137 Cs. On the other hand, heavy metals; Al, As, Cr, Cu, Fe, Mn, Ni, Pb, and Zn were analyzed using Inductively Coupled Plasma -Optical Emission Spectrometer (ICP -OES). Their probable sources were predicted using Pearson's correlation and Principal Component Analysis (PCA) while heavy metal contamination levels were assessed using geoaccumulation Index (Igeo), Contamination Factor (CF) and Enrichment Factor (EF) pollution indices. Results showed that the cores were about 140 years old with an estimated average mass sedimentation rate of 0.32 g/cm 2 /yr. Vertical fluctuations of heavy metal contamination were observed along the sediment cores with high values recorded near the surface. Further, PCA and pollution indices showed that Al, Cr, Cu, Ni, and Pb were from natural sources while, Zn, Mn, Fe, and As, (in order of contamination levels), were both from natural and anthropogenic sources. Therefore, this study showed the geochronological trends of sedimentation and impacts of human activities on Lake Naivasha.

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Section: Pollution Of Lake Sedimentssupporting

confidence: 56%

Geochronological and spatial distribution of heavy metal contamination in sediment from Lake Naivasha, Kenya

Maina

Sang

Raude

et al. 2019

Journal of Radiation Research and Applied Sciences

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“…Most heavy metals quickly deposit into the sediment after entering rivers, and are much more concentrated in the sediment than in the water body of riverine systems [15,16]. Conversely, when the physicochemical or hydrological conditions change, heavy metals in the sediment may desorb or resuspend to cause secondary pollution in the water body [17,18]. The accumulation of heavy metals in the sediment directly affects benthic organisms and also influences many other organisms through the food web [19,20], and endangers the wellbeing of the aquatic ecosystem.…”

Section: Introductionmentioning

confidence: 99%

Risk assessment of heavy metals in the surface sediment at the drinking water source of the Xiangjiang River in South China

et al. 2020

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Background: The Xiangjiang River is an important drinking water resource for the Hunan Province of China. It is crucial to ascertain the pollution status, influencing factors, ecological risks, and possible sources of heavy metals in the sediments of the Xiangjiang River. Sediment is both a source and a sink of heavy metals in aquatic ecosystems. In this study, surface sediment was collected from the Zhuzhou Reach of the Xiangjiang River and eight heavy metals were investigated. Results:In all sediment samples, all eight heavy metals were detected and their average concentration fell in the order of Zn > Pb > As > Cu > Cr > Ni > Cd > Co. Assessment shows extremely serious Cd pollution and a very high potential ecological risk from Cd. According to correlation analysis and principal component analysis (PCA), As, Cu, Ni, Pb, and Zn originate from industrial wastewater and mineral smelting activities, whereas Co, Cr, and Ni come from natural sources. Redundancy analysis (RDA) reveals that the organic matter content and the particle size of the sediment have a certain influence on the enrichment of heavy metals. Conclusion:Among all eight examined heavy metals in the surveyed area, the content of Zn, Pb, and As is the highest, and that of Cd and Co is the lowest. Despite a low level of absolute content, the Cd in sediment already renders a high ecological risk and thus calls for urgent attention. Anthropogenic activities are the main source of heavy metals in the sediment. The distribution of heavy metals may also be influenced by sediment properties. The results provide guidance for controlling heavy metal pollution and protecting drinking water sources in the Xiangjiang River.

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“…The risk assessment of heavy metals addresses the evaluation of the hazardous properties of these environmental pollutants and the exposure of the land to them. To evaluate the environmental risk of heavy metals in sewage sludge, the geo-accumulation index (I geo ), single-factor pollution index (PI), Nemerow’s synthetic pollution index (PN) and ecological risk index (RI) were applied [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 ]. The different indices focus on different aspects: I geo and PI both focus on the accumulation levels of each heavy metals in the samples, without any attention to their toxicity [ 1 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ]; PN and RI, which are used to assess the comprehensive ecological risks, consider more factors than just the total quantity of the heavy metals [ 1 , 14 , 24 ].…”

Section: Introductionmentioning

confidence: 99%

“…To evaluate the environmental risk of heavy metals in sewage sludge, the geo-accumulation index (I geo ), single-factor pollution index (PI), Nemerow’s synthetic pollution index (PN) and ecological risk index (RI) were applied [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 ]. The different indices focus on different aspects: I geo and PI both focus on the accumulation levels of each heavy metals in the samples, without any attention to their toxicity [ 1 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ]; PN and RI, which are used to assess the comprehensive ecological risks, consider more factors than just the total quantity of the heavy metals [ 1 , 14 , 24 ]. PN focuses on the average and maximum pollution of each heavy metal [ 14 , 16 , 18 ], and RI considers the toxicity of heavy metals [ 1 , 14 , 17 , 18 , 19 , 22 , 23 , 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

Disposal Situation of Sewage Sludge from Municipal Wastewater Treatment Plants (WWTPs) and Assessment of the Ecological Risk of Heavy Metals for Its Land Use in Shanxi, China

Duan

Zhang

Zheng

et al. 2017

IJERPH

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Land use of sewage sludge is the primary disposal method in Shanxi, accounting for 42.66% of all. To determine the ecological risk of heavy metals in sewage sludge, contents of seven heavy metals in sewage sludge from 9 municipal waste water treatment plants (WWTPs) that had the highest application for land use were determined. The order of the measured concentrations was: Zn > Cr > Cu > Ni > Pb > As > Cd, and all heavy metals contents were within the threshold limit values of the Chinese Control Standards for Pollutants in Sludge from Agriculture Use (GB4284-84). Four indices were used to assess the pollution and the ecological risk of heavy metals. By the mean values of the geoaccumulation index (I geo ), heavy metals were ranked in the following order: Cd > Zn > Cu > As > Cr > Ni > Pb. The values showed that the pollution of Zn in station 3 and Cd in station 1, 2, 3, 4, 8 and 9 were heavily; Cu in station 8 and 9, Zn in station 1, 2, 4, 8 and 9 and Cd in station 5 and 7 were moderately to heavily, and the accumulation of other heavy metals were not significant. The single-factor pollution index (PI) suggested that none of the stations had heavy metals contamination, except for Cu in station 9, Zn in station 3 and 8, and Cd in station 1 and 9, which were at a moderate level. According to the results of the Nemerow's synthetic pollution index (PN), sewage sludge from all stations was safe for land use with respect to heavy metals contamination, except for stations 3, 8 and 9, which were at the warning line. The monomial potential ecological risk coefficient (E i r ) revealed that heavy metals ecological risks in most stations were low. However, station 9 had a moderate risk for Cu; station 6 had a moderate risk, stations 5 and 7 had high risk, other stations had very high risk for Cd. According to the results of the potential ecological risk index (RI), station 1, 8 and 9 had high risk; station 2, 3, 4, 5 and 7 had a moderate risk, and station 6 had a low risk. The preliminary results indicated that the potential risk of land exposure to heavy metals in sewage sludge was relatively low, with Zn and Cd as the main contributor to the ecological risk for the applying of sewage sludge on land. Additionally, stations 3, 8 and 9 require more attention regarding the land applications related to heavy metals pollution.

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Enrichment and geoaccumulation of heavy metals and risk assessment of sediments from coast of Ain Temouchent (Algeria)

Cited by 37 publications

References 23 publications

Geochronological and spatial distribution of heavy metal contamination in sediment from Lake Naivasha, Kenya

Geochronological and spatial distribution of heavy metal contamination in sediment from Lake Naivasha, Kenya

Risk assessment of heavy metals in the surface sediment at the drinking water source of the Xiangjiang River in South China

Disposal Situation of Sewage Sludge from Municipal Wastewater Treatment Plants (WWTPs) and Assessment of the Ecological Risk of Heavy Metals for Its Land Use in Shanxi, China

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