Assessment of heavy metals and arsenic contamination in the sediments of the Moulouya River and the Hassan II Dam downstream of the abandoned mine Zeïda (High Moulouya, Morocco)

Azhari, Abdellah El; Rhoujjati, Ali; Hachimi, M.L. El

doi:10.1016/j.jafrearsci.2016.04.011

Cited by 28 publications

(14 citation statements)

References 37 publications

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“…The sediment samples of Alaro River were majorly composed of fine grained sand with average contents varying from 86.1 ± 9.5% to 92.9 ± 1.6% (Table 1). This implies that the hydromorphic distribution patterns of contaminants are supported in the fine sandy fraction of the river sediment (El Azhari et al 2016). In rivers, sandy fraction often offers a favorable condition for remobilization of accumulated metals.…”

Section: Sediment Quality Of Alaro Rivermentioning

confidence: 99%

Monitoring and assessment of sediment contamination with toxic heavy metals: case study of industrial effluent dispersion in Alaro River, Nigeria

Ipeaiyeda

Onianwa

2018

Appl Water Sci

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The influx of effluents from industrial area into the Alaro River in Ibadan has made the investigation of the sediment quality of the river an important environmental issue for discussion. The objective of this study was to determine the concentrations of toxic heavy metals in surface sediment of the river in order to evaluate the impact of the effluent and spatial distribution of the metals downstream. pH, total organic carbon and grain-sized particles of the sediment samples were determined according to standard methods of analysis, while heavy metal concentrations were determined by AAS. Linear least square regression (LLSR) model was employed to describe the distribution pattern of heavy metals along the river network. Hierarchical cluster analysis was applied to locate the heavy metals contamination source and interpret the association between the metal concentrations upstream and downstream, which were found to be significantly different (p = 0.05) The concentrations of Ni, Zn, Cr, Co, Cu, Cd and Pb in downstream sediments were 7. 74 ± 0.97, 19.5 ± 4.6, 5.78 ± 0.47, 9.6 ± 1.6. 7.36 ± 0.61, 0.47 ± 0.03 and 7.76 ± 0.80 mg/kg, respectively. The enrichment factor (EF > 1.5) and pollution load index (PLI > 1.0.) showed that the sediment was contaminated with these heavy metals. The toxicity estimation carried out suggested that the sediment was slightly toxic. Metal distribution as shown by LLSR was such that the concentration decreased with distance downstream with R 2 ranging from 0.8810 to 0.9990. The LLSR models obtained are useful to predict the metal concentrations based on the known distance of the river.

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Section: Sediment Quality Of Alaro Rivermentioning

confidence: 99%

Monitoring and assessment of sediment contamination with toxic heavy metals: case study of industrial effluent dispersion in Alaro River, Nigeria

Ipeaiyeda

Onianwa

2018

Appl Water Sci

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“…A PLI value of 0 is perfect; a value of 1 denotes baseline levels of contaminants; values less than 1 indicate no pollution; and values above 1 signify the progressive deterioration of polymetallic pollution [24][25][26].…”

Section: Pollution Load Index (Pli)mentioning

confidence: 99%

“…The RI value may be used with the following terminology: RI<150, low ecological risk; 150≤RI<300, moderate risk; 300≤RI<600, considerable risk; and RI≥600, very high risk [24][25]. The reference values [24] of heavy metals in this study are presented in Table 1.…”

Section: Potential Ecological Risk Index (Ri)mentioning

confidence: 99%

Assessing Heavy Metal Pollution in Surface Sediments of China’s Shaying River

Zhou¹

2019

Pol. J. Environ. Stud.

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Heavy metal pollution is one of the most serious threats to aquatic environmental quality and human health due to the toxicity [1], persistence [2], nondegradability [2], and bioaccumulation [3] of heavy metals in surroundings. Heavy metals have been known to have direct toxic effects when released into the aquatic environment, and sediments function as a sink for these pollutants [4]. Heavy metal contaminants from urban, industrial, and agricultural sources that are poured into rivers will eventually combine with sediments via physical precipitation, chemical absorption, and biological absorption, and then deposited into surface sediments [5][6][7]. Heavy metals can accumulate and migrate in surface sediments because of cumulative effects and long-term interactions. Surface sediments serve as the main reservoir of heavy metals in a river Pol. AbstractTo comprehend the contamination levels of heavy metals in surface sediments of Shaying River (Anhui Section, China), samples of sediments were collected using grab samplers in 14 sampling sites in the river. Chromium (Cr), cadmium (Cd), copper (Cu), and lead (Pb) in sediments were monitored via flame atomic absorption spectroscopy, and arsenic (As) via atomic fluorescence spectroscopy. The geo-accumulation index (I geo ), pollution load index (PLI), and potential ecological risk index (RI) were applied to evaluate the sediment pollution of the five heavy metals. The results indicate that the mean concentration levels (range) of Cr, Cd, Cu, Pb, and As in sediments were 58.), and 0.44 (0.13-1.46) mg/kg, respectively. The mean I geo values of Cr, Cd, Cu, Pb, and As were -0.69, 5.41, 0.36, -0.13, and -4.84, respectively. The average potential ecological coefficients (E r i ) of Cr, Cd, Cu, Pb, and As were 1. 95, 324.70, 6.42, 7.02, and 0.29, respectively. The RI values of the five heavy metals ranged from 197.65 to 687.24, and the mean was 340.38. Among the studied heavy metals, Cd was the highest contaminating element, whereas As was the lowest. Especially Cd was the main contributor to RI in all the sampling sites. Moreover, Cr, Cd, Pb, and As might have similar sources of contamination based on the Pearson correlation matrix of analysis.

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“…Nowadays, aquatic sediments contamination with heavy metals is a major environmental problem at both national and global level [1][2][3]. One of the main sources leading to heavymetal pollution of the aquatic environment is represented by a series of industrial activities associated with mining exploitations processes [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Evolution of Sediments Pollution with Mobile Heavy Metals in an Abandoned Mining Area from Romania

Kim¹,

Vasile²,

Pascu³

et al. 2018

Sedimentation Engineering

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The present chapter focuses on spatio-temporal evolution of sediments pollution with mobile heavy metals in five sampling campaigns, in an abandoned gold-bearing mining area from Certeju de Jos, Hunedoara County. The investigated zone is situated in a region where for a long period intense activities of mining exploitation was conducted. For determination of total metals content, sediment samples were dissolved with ultrapure nitric acid to microwave digestion. For the determination of mobile metals concentrations, it used the first step of BCR 701 sequential extraction scheme in a modified form, by reducing the extraction time from 16 hours to 20 minutes by sonication. The total and mobile concentrations of metals were determined by using ICP-MS. The concentrations of the mobile fractions of Cd, As and Cu are between 60 and 98% for Cd, 10 and 38% for As and up to 44% for Cu, indicating their presence in a bioavailable form. Due to the high mobility, these metals can pass from sediment to surface water and, implicitly, to the aquatic ecosystems. The pollution indices, calculated for the total content of As, Cd, Cu, Ni and Pb, indicate the presence of a strong environmental risk of sediment degradation in most investigated site.

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Assessment of heavy metals and arsenic contamination in the sediments of the Moulouya River and the Hassan II Dam downstream of the abandoned mine Zeïda (High Moulouya, Morocco)

Cited by 28 publications

References 37 publications

Monitoring and assessment of sediment contamination with toxic heavy metals: case study of industrial effluent dispersion in Alaro River, Nigeria

Monitoring and assessment of sediment contamination with toxic heavy metals: case study of industrial effluent dispersion in Alaro River, Nigeria

Assessing Heavy Metal Pollution in Surface Sediments of China’s Shaying River

Spatio-Temporal Evolution of Sediments Pollution with Mobile Heavy Metals in an Abandoned Mining Area from Romania

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