Contamination level, chemical fraction and ecological risk of heavy metals in sediments from Daya Bay, South China Sea

Liu, Jinjun; Ni, Zhixin; Diao, Zeng-Hui; Hu, Yongxia; Xu, Xiangrong

doi:10.1016/j.marpolbul.2018.01.021

Cited by 97 publications

(42 citation statements)

References 40 publications

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“…Among these, PCA/FA and CA are the most common multivariate statistical methods used in environmental studies [22]. Several methods such as the contamination factor (CF), geo-accumulation index (I geo ), enrichment factor (EF), pollution load index (PLI), modified degree of contamination (mCd), and potential ecological risk index (RI) are widely employed to evaluate contamination and ecological risks of elements in soils and sediments [23,24]. The integrated use of these methods is more appropriate than a single tool, which may not reflect the true degree of pollution.…”

Section: Introductionmentioning

confidence: 99%

Distribution, Source Identification, and Assessment of Potentially Toxic Elements in the Sediment Core from the Estuarine Region of the Golmud River to the Qarhan Salt Lake, Qinghai, China

et al. 2019

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The Qarhan Salt Lake has attracted increasing attention due to its significant national economic status and increased human activity, especially mining. Therefore, a sediment core collected from the confluence of the Golmud River to the Qarhan Salt Lake was chosen to investigate the concentrations, pollution levels, and ecological assessment of nine targeted elements (Al, As, Cd, Cr, Cu, Ni, P, Pb, and Zn). The excess 210Pb activities were calculated and a sedimentation rate of approximately 0.041 cm/y was estimated. Elements sources were identified, and the results show that Al, As, Cu, Ni, Pb, and Zn were mainly from natural sources, Cd and P were mainly from human input, and Cr appeared to have both sources. For Cd and P there was an increasing trend from 1987 and 1975, respectively, coinciding with the Chinese economic reform, Qarhan Salt Lake development and utilization, and also with the gross domestic product of Haixi State, Qinghai Province. Though the pollution and ecological assessment showed that there was nil to very low contamination and ecological risk, which is different from previous assumptions, the obviously increasing trend of Cd and P in the surface is still a concern. More attention should be paid to Cd and P in the further development of the Qarhan Salt Lake and the Golmud City.

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Section: Introductionmentioning

confidence: 99%

Distribution, Source Identification, and Assessment of Potentially Toxic Elements in the Sediment Core from the Estuarine Region of the Golmud River to the Qarhan Salt Lake, Qinghai, China

et al. 2019

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“…Non residual fraction/ labile fraction is the sum of F1 (exchangeable fraction), F2 (reducible fraction) and F3 (oxidizable fraction). Non-residual fractions (unstable parts) are easily absorbed in Note : -= The study were not measure in spesific parameter; SQGs = Sediment Quality Guidelines; ISQG = Interim Sediment Quality Guidelines; PEL = Probable Effect Level sediment granules and have a high level of bioavailability (available in the body of the biota) (Bastami et al, 2018;Liu et al, 2018). The fractionation of Pb and Zn in inner Kelabat Bay is likely bound to the non-residual fraction (F1 + F2 + F3) or non-resistant with a range of 60.63-89.87% and 47.98-84.66% respectively (Figure 2.).…”

Section: Resultsmentioning

confidence: 99%

Source Identification, Bioavailability, and Risk Assessment based on Geochemical Fractionation of Heavy Metals Pb, Cu, and Zn in Surface Sediments of Kelabat Bay, Bangka Island

2019

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Although concentrations of many heavy metals has been measured totally, they may not give a good indicator for environmentally hazard to organism. The purpose of this study is to identify sources, determine bioavailability, and assess risk based on the geochemical fractionation of heavy metals Pb, Cu and Zn on the surface sediments of Kelabat Bay, Bangka Island. Fractionation of heavy metals was analyzed by sequential extraction. The concentrations of heavy metals Pb, Cu, and Zn in sediments ranged from 8.86-29.21 mg.kg-1 (average 16.85 mg /kg), 0.16-9.54 mg.kg-1 (average 4.39 mg.kg-1), and 25.58-237.24 mg.kg-1 (average 71.99 mg.kg-1). Pb and Zn in Kelabat Bay are more bound to non-residual fractions (F1+F2+F3) or non-resistant with a range of 60.63-89.87% and 47.98-84.66% that are mainly come from anthropogenic activities. Cu tend to be stored or bound to the residual fraction (F4) with a proportion of 97.7-100% meaning that it comes from natural sources. Based on the Risk Assessment Code (RAC), Pb have a low to moderate risk in the environment and Zn heavy metals are not at risk to low. These conditions indicate the potential for biological availability (bioavailability) of Pb and Zn in the inner bay waters. For heavy metals Cu is not at risk in the environment.

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“…Risk assessment code (RAC). The risk assessment code (RAC) was developed to estimate the environment risk of heavy metals by applying a scale to the percentage of metals presented in the acid soluble/exchangeable fraction (F1) [1,23,24]. The classification of the RAC for assessing metal pollution was expressed as the percentage of acid soluble fraction in sediment ( Table 7).…”

Section: Potential Ecological Risk (Ri)mentioning

confidence: 99%

Assessment of Heavy Metals Pollution in Sediments from Reservoirs of the Olt River as Tool for Environmental Risk Management

2020

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Heavy metals are among the most persistent pollutants in the ecosystem due to their resistance at decomposition in natural condition. They have low solubility in water and tend to be adsorbed and accumulated on bottom sediments. Anthropogenic actions conduct to the discharge of heavy metals from various sources (industrial, urban, and/or agriculture) to rivers water that are ultimately immobilized in marine sediments under current action. In this work, an investigation of pollution and ecological risk in the Olt River waters is performed based on assessing the accumulation of heavy metals in sediments. Therefore, sediment samples were collected from 22 locations on the Olt River, in its middle and lower basin, and investigated by inductively coupled plasma mass spectrometry which allows us to measure very low elements concentration levels. Two main aspects were foreseen in this study: (i) determining the content and spatial distribution of heavy metals in the Olt River surface sediments, and (ii) assessing the pollution level based on various parameters, namely the contamination factor, the geo-accumulation, pollution load and Nemerow pollution indexes, the potential ecological risk, and risk assessment code. This methodology proves to be an appropriate tool to apply in decision-making on environmental risk management. Keywords: heavy metals, ecological risk, pollution, ecosystem, sediments

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Contamination level, chemical fraction and ecological risk of heavy metals in sediments from Daya Bay, South China Sea

Cited by 97 publications

References 40 publications

Distribution, Source Identification, and Assessment of Potentially Toxic Elements in the Sediment Core from the Estuarine Region of the Golmud River to the Qarhan Salt Lake, Qinghai, China

Distribution, Source Identification, and Assessment of Potentially Toxic Elements in the Sediment Core from the Estuarine Region of the Golmud River to the Qarhan Salt Lake, Qinghai, China

Source Identification, Bioavailability, and Risk Assessment based on Geochemical Fractionation of Heavy Metals Pb, Cu, and Zn in Surface Sediments of Kelabat Bay, Bangka Island

Assessment of Heavy Metals Pollution in Sediments from Reservoirs of the Olt River as Tool for Environmental Risk Management

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