Distribution and ecological risk assessment of heavy metals using geochemical normalization factors in the aquatic sediments

Arisekar, Ulaganathan; Shakila, R. Jeya; Shalini, R.; Jeyasekaran, Geevartnam; Keerthana, Muruganantham; Arumugam, Natarajan; Almansou, Abdulrahman I; Perumal, Karthikeyan

doi:10.1016/j.chemosphere.2022.133708

Cited by 54 publications

(29 citation statements)

References 85 publications

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“…Two samples of soil exhibited moderate risk in the studied area based on the PERI classification (S6 and S8), while, in the case of sediment, the average value of PERI showed a moderate potential ecological risk (Sed6-very high ecological potential risk; Sed21 and Sed23-considerable ecological potential risk; Sed8 and Sed22-moderate ecological potential risk). These results suggest that the enrichment of Cd and As in the studied sediments had an important contribution to the high values of PERI, the mean value being much higher than the value reported by Arisekar et al [75] in the Thamirabarani River basin, India.…”

Section: Pollution Characteristicscontrasting

confidence: 68%

Metal Contents and Pollution Indices Assessment of Surface Water, Soil, and Sediment from the Arieș River Basin Mining Area, Romania

et al. 2022

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The current study was conducted to assess the level and spatial distribution of metal pollution in surface water, soil, and sediment samples from the Arieș River basin, located in central Romania, an area impacted by various mining and industrial operations. Several pollution indices, spatial distributions, cluster analyses, principal component analyses, and heat maps were applied for evaluating the contamination level with Ni, Cu, Zn, Cd, Pb, Mn, As, and Hg in the area. Based on the results of the Heavy-Metal Pollution Index and of the Heavy-Metal Evaluation Index of the surface-water samples, the middle part of the Arieș River basin, near and downstream of the gold mine impoundment, was characterized by high pollution levels. The metal concentration was higher near the tailing impoundment, with increased levels of Cu, Ni, Zn, and Pb in the soil samples and As, Cd, Pb, Na, K, Ca, Mn, and Al in the sediment samples. Ca (23.7–219 mg/L), Mg (2.55–18.30 mg/L), K (0.64–14.70 mg/L), Al (0.06–22.80 mg/L), and Mn (0.03–22.40 mg/L) had the most remarkable spatial variation among the surface-water samples, while various metal contents fluctuated strongly among the sampling locations. Al varied from 743 to 19,8 mg/kg, Fe from 529 to 11,4 mg/kg, Ca from 2316 to 11,8 mg/kg, and Mg from 967 to 2547 mg/kg in the soil samples, and Al varied from 3106 to 8022 mg/kg, Fe from 314 to 5982 mg/kg, Ca from 1367 to 8308 mg/kg, and Mg from 412 to 1913 mg/kg in the sediment samples. The Potential Ecological Risk Index values for soil and sediments were in the orders Cu > Ni > Pb > Hg > Cr > As > Mn > Zn > Cd and As > Cu > Cr > Cd > Pb > Ni > Hg > Mn > Zn, respectively, and the highest values were found around the gold mine impoundment.

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Section: Pollution Characteristicscontrasting

confidence: 68%

Metal Contents and Pollution Indices Assessment of Surface Water, Soil, and Sediment from the Arieș River Basin Mining Area, Romania

et al. 2022

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“…The findings of Nasrabadi et al (2010), Giri et al (2013), Li et al (2014), Wu et al (2017), andArisekar et al (2022) on the small-scale rivers indicate the impact of anthropogenic agents on the heavy metal abundance in Xiaoyang, Thamirabarani, Subarnarekha, Lianshan, Wuli, and Cishan river sediments. Wu et al (2017) showed that anthropogenic input is associated with urban development, especially industrial intensification.…”

Section: Pollution Assessment In Small Riversmentioning

confidence: 91%

“…Giri et al (2013) confirmed that the increased concentration of metals in the Subarnarekha River is due to the direct discharge of industrial, urban, and mining wastes into the river. However, Arisekar et al (2022) highlighted that the high level of pollution was influenced by agricultural runoff. According to this study, the Moyang and Jian rivers are moderately to very highly contaminated with Pb, Ni, Cd, and Cu metals when the CF, EF, mCd, PI, MPI, RI, and MRI values are taken into consideration.…”

Section: Pollution Assessment In Small Riversmentioning

confidence: 99%

Characterization and Risk Assessment of Heavy Metals in Surface Sediments From Jian and Moyang Rivers in Western Guangdong

Feng

Lin

et al. 2022

Front. Environ. Sci.

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The river environment is complex and receives a variety of contaminants from numerous sources that are persistent, bioaccumulative, and toxic. The distribution, source, contamination, and ecological risk status of Zn, Pb, Cu, Ni, Cr, and Cd were evaluated in the surface sediments at 45 sites on the Moyang and Jian rivers in Western Guangdong, China. Single pollution indices, including contamination factor (CF) and enrichment factor (EF), revealed that Zn, Pb, Ni, Cu, and Cd showed moderate to significant enrichment. To overcome the limitation of the single element indices, a range of sediment quality indices, including modified contamination index (mCd), pollution index (PI), and modified pollution index (MPI), were utilized to ascertain the sediment quality. The sediment in the study area is deemed to be slightly to extremely polluted. The sediment quality guidelines (SQGs), potential ecological risk index (RI), and modified ecological risk index (MRI) were used to assess possible ecological risks. According to the SQGs, Pb, Ni, and Cu have the potential to induce biological effects. The RI indicated that the sediment poses a low ecological risk. However, the MRI indicated that the ecological risk of the sediment was moderate to very high. The accuracy of the single and multi-element indices and ecological risk assessment were evaluated in the river using the principal component analysis (PCA) and cluster analysis (CA), showing an anthropogenic impact. Results demonstrate the need to pay attention to the ecological environment of small rivers, which are sensitive to their surroundings.

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“…Igeo is a method to assess metal pollution and accumulation in sediments by eliminating the in uence of geological factors, which has been widely used in the assessment of metal pollution in river sediments (Arisekar et al, 2022). The calculation method is as follows:…”

Section: Geo-accumulation Index (Igeo)mentioning

confidence: 99%

Spatial distribution, sources, and risk assessment of metal ions in sediments from industrial areas in the Kuye River Basin in Shenmu, China

Wang

Liu

Wei

et al. 2022

Preprint

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Metal pollution of river sediments in industrial areas has attracted widespread attention. In this study, 11 metal ions (including Fe, Al, Ag, Mn, Cd, Cr, As, Cu, Pb, Zn, Ni) were determined and analyzed in river sediments of typical industrial areas in the Kuye River Basin, a first-level tributary of the Yellow River. The geological accumulation index, enrichment factor, and pollution load index indicated that the metal ions in this area were enriched and polluted to different degrees. The spatial distribution of the 8 kinds of heavy metals showed that the content in the upstream and downstream was higher, and the middle reaches were lower. the heavy metals mainly came from local industrial activities, coal mining and transportation, and soil weathering, Human activities were the main reasons for the dramatic spatial changes and high levels of heavy metals. The results of the combined potential ecological risk index and sediment quality guidelines showed that the ecological risk downstream of the area was high, and Ni and Pb have caused adverse biological reactions. The human carcinogenic risk assessment result showed that the non-carcinogenic hazard quotient of metal ions in the study area was at an acceptable level, but the carcinogenic risk level of Ni and Cr was higher than 10-4, which was an unacceptable level and must be got enough recognition. The results of this study can provide theoretical support for the pollution control and environmental restoration of rivers in energy-enriched areas.

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Distribution and ecological risk assessment of heavy metals using geochemical normalization factors in the aquatic sediments

Cited by 54 publications

References 85 publications

Metal Contents and Pollution Indices Assessment of Surface Water, Soil, and Sediment from the Arieș River Basin Mining Area, Romania

Metal Contents and Pollution Indices Assessment of Surface Water, Soil, and Sediment from the Arieș River Basin Mining Area, Romania

Characterization and Risk Assessment of Heavy Metals in Surface Sediments From Jian and Moyang Rivers in Western Guangdong

Spatial distribution, sources, and risk assessment of metal ions in sediments from industrial areas in the Kuye River Basin in Shenmu, China

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