Sources and geochemical background of potentially toxic metals in surface sediments from the Zhejiang coastal mud area of the East China Sea

Xu, Gang; Liu, Jian; Pei, Shaofeng; Hu, Gang; Kong, Xianghuai

doi:10.1016/j.gexplo.2016.06.003

Cited by 16 publications

(5 citation statements)

References 72 publications

(92 reference statements)

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“…The metal in the sediment is predominantly of natural origin if EF value of 1.0 is obtained. If EF > 1.5 indicates enrichment by anthropogenic impacts (Hakima et al 2017;Xu et al 2016). The pollution index (PLI) was calculated using the expression PLI = (EF 1 × EF 2 × EF 3 … × EF n ) 1/n where n is the number of elements determined in the samples.…”

Section: Assessment Of Sediment Pollution Loadmentioning

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: Assessment Of Sediment Pollution Loadmentioning

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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“…in the equation: C i s Is the content of element i in sediment; C i n Is the geochemical background value of this element in the sediment (Kwon et al, 2012;Bábek et al, 2015;Xu et al, 2016;Pojar et al, 2021;Sun et al, 2021;Arisekar et al, 2022;Delplace et al, 2022;Siddique et al, 2023;Zhang et al, 2023); K is a factor that takes into account possible changes in background values due to differences in rocks in different regions (usually taken as 1.5).…”

Section: Index Of Geo-accumulation Methodsmentioning

confidence: 99%

Contamination and health risk assessment of heavy metals in soil surrounding an automobile industry factory in Jiaxing, China

Liu,

Ni,

Wang

2024

Front. Environ. Sci.

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The auto parts industry occupies an important strategic position in our national economy, which brings about the pollution problem in the processing of auto parts, particularly in soil polluted by heavy metals. Soil samples were collected from an automobile parts company in Jiaxing, China, and the data were evaluated using the land accumulation index method. The study found that the heavy metal pollution in the downwind direction of the Automobile Parts Co., Ltd. is mainly As, CD, and Zn mixed heavy metal pollution, and the distribution is uneven. The coefficient of variation of As was the largest, and the regional variation amplitude was large. The coefficient of variation of CD, Cr, and Ni is 50%, that of Zn is 39.38%, and that of PB is the lowest. The accumulative index of AS and CD was 6, which was a very serious pollution level. The content of As was 1994.7 mg/kg, exceeding the standard by more than 44 times, and the distribution of As in soil was uneven. The pollution level of Zn is 3, which belongs to the moderate level. The pollution degree of heavy metals in the soil decreases as the distance from the downwind outlet of the plant increases. According to the health risk assessment, the main route of heavy metals entering the body is through the mouth by breathing. Among exposure routes, oral exposure to heavy metals is the most harmful, so we need to pay special attention to farmland soil heavy metal pollution.

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“…In the equation: Bábek and Grygar et al, 2015;Xu and Liu et al, 2016;Pojar and Kochleus et al, 2021;Sun and Zhang et al, 2021;Arisekar and Shakila et al, 2022;Delplace and Viers et al, 2022;Siddique and Chaudhry et al, 2023;Zhang and Peng et al, 2023)；…”

Section: Index Of Geo-accumulationmentioning

confidence: 99%

Contamination and Health Risk Assessment of Heavy Metals in Soil Surrounding an Automobile Industry factory in JiaXing, China

Liu

Zhen

2023

Preprint

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The auto parts industry occupies an important strategic position in our national economy, which brings about the pollution problem in the processing of auto parts, especially in the soil polluted by heavy metals. Soil samples were collected from an automobile parts company in Jiaxing, China, and the data were evaluated by the land accumulation index method. It is found that the heavy metal pollution in the downwind direction of the Automobile Parts Co., Ltd. is mainly As, CD, Zn mixed heavy metal pollution, the distribution is not uniform. The coefficient of variation of As was the largest, and the regional variation amplitude was larger. The coefficient of variation of CD, Cr and Ni is 50%, the coefficient of variation of Zn is 39.38%, and the coefficient of variation of PB is the lowest. The accumulative index of AS and CD was 6, which was a very serious pollution. The content of As was 1994.7 mg/kg, the multiple of over-standard was more than 44 times, and the distribution of As in soil was irregular. The pollution level of Zn is Grade 3, which belongs to moderate pollution. The farther away from the downwind outlet of the plant, the lower the pollution degree of heavy metals in the soil. According to the health risk assessment, the main route of heavy metals entering the body is through the mouth, through the way of breathing. Exposure to heavy metals is far less harmful than oral exposure, so we need to pay special attention to farmland soil heavy metal pollution.

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Sources and geochemical background of potentially toxic metals in surface sediments from the Zhejiang coastal mud area of the East China Sea

Cited by 16 publications

References 72 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

Contamination and health risk assessment of heavy metals in soil surrounding an automobile industry factory in Jiaxing, China

Contamination and Health Risk Assessment of Heavy Metals in Soil Surrounding an Automobile Industry factory in JiaXing, China

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