Historical record of lead accumulation and source in the tidal flat of Haizhou Bay, Yellow Sea: Insights from lead isotopes

Zhang, Rui; Guan, Minglei; Shu, Yujie; Shen, Liya; Chen, Xixi; Zhang, Fan; Li, Tiegang

doi:10.1016/j.marpolbul.2016.02.046

Cited by 19 publications

(5 citation statements)

References 41 publications

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“…Several studies apply the enrichment factor (e.g., Duodu et al, 2016;Kim et al, 2017;Zhang et al, 2016) to evaluate the concentration of a particular metal in sediment. This procedure involves normalization with reference elements to reduce the variability caused by grain size.…”

Section: Resultsmentioning

confidence: 99%

Understanding Hg Distribution in Sediments From the Santos and São Vicente Estuarine System, Southeastern Brazil

Kim

Trevizani

Angeli

et al. 2021

Preprint

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The Santos and São Vicente Estuarine System (SSVES) is a region with great economic importance in southeastern Brazil. It contains petrochemical and metallurgical industrial complexes and the largest commercial harbor in South America, which have made the region vulnerable to degradation by chemical pollutants, such as mercury (Hg). This study is the first to evaluate the environmental parameters that control the spatial distribution of Hg in the surface sediments of the SSVES which is influencied mainly by hydrodynamics. The innermost part of the estuarine system, where weaker currents lead to an environment with more sediment deposition, has anomalous Hg concentrations resulting from historical anthropogenic activities. Althought there is a low probability of negative effects of Hg in organisms, this element demonstrates greater mobility and bioavailability in the environment, indicating the need for monitoring Hg for the conservation of this region.

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Section: Resultsmentioning

confidence: 99%

Understanding Hg Distribution in Sediments From the Santos and São Vicente Estuarine System, Southeastern Brazil

Kim

Trevizani

Angeli

et al. 2021

Preprint

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“…Studies related to metal contamination are important because of their potential toxicity in marine organisms and humans [1,2,3]. Metals are naturally derived from the weathering of rocks and subsequently enter marine systems through riverine transport [4,5]. In general, trace metals can be derived from metal-containing waste released from industrial activities [6,7], household waste, urbanization, and the application of fertilization in agriculture [8,9].…”

Section: Introductionmentioning

confidence: 99%

Geochemical partitioning of Cu and Zn in Pelabuhanratu Bay sediment

Prartono,

Natih,

Atmadipoera

et al. 2024

BIO Web Conf.

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Activities such as fishing ports and power plants on the coast of Pelabuhanratu Bay have recently developed and hence, their input of metal-containing waste may influence the seawater quality of the bay as the fishing grounds. This study aimed to determine the potential sources (i.e., anthropogenic and natural) and pollution status in sediments. Sediment samples were collected once at 10 stations in the bay using a Van Veen grab. The geochemical partitioning of non-residual and residual phases of metals was used to assess the anthropogenic and natural sources, respectively. The status of metal contamination was evaluated by determining the geo-accumulation index (Igeo), contamination factor (CF), and pollution load index (PLI). Generally, Cu was dominant in residual fractions ranging 62.79-81.24%, while Zn ranged 39.56-66.02%. This suggests that Cu and Zn in Pelabuhanratu Bay are naturally sourced. Furthermore, the average geo-accumulation index of Cu was categorized as unpolluted (-0.86), and Zn was lightly polluted (0.87). The CF of Cu indicates the uncontaminated category (0.85), whereas Zn indicates a moderate contamination category (CF = 1.54). The pollution level (PLI) in Pelabuhanratu Bay is generally lightly polluted (PLI 1,135).

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“…Moreover, since no isotopic fractionation occurs for Pb, either in industrial and environmental processes, this element has been proved particularly effective for tracing pollutants in a multitude of matrixes, such as aerosols (Zheng et al, 2004), urban dust (Galušková et al, 2014), rain (Roy & Négrel, 2001), snow (Cimova et al, 2016), seawater (Reuer et al, 2003), grass (Kylander et al, 2007), lakes (Eades et al, 2002), and sediments (Ettler et al, 2006; Zhang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

A multitechnique approach for the identification of multiple contamination sources near a polluted industrial site

et al. 2022

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Degraded land requires rapid and suitable remedial actions, thus appropriate and fast methodological approaches for estimating the spatial distribution of contaminants are needed. In this context, a methodological approach combining isotopic measurements, heavy metals concentrations mapping, X‐ray diffraction, and cluster analysis, was applied to characterize a polluted industrial site where the contamination due to improper waste disposal could have spread also into the surrounding fields. This approach was applied to a set of representative topsoil (from 15 to 30 cm depth) and subsoil (from 130 to 150 cm depth) samples, selected either inside or outside the contaminated site. The X‐ray diffraction analysis highlighted that only the mineralogy of the subsoil below the buried waste was noticeably altered, while the concentration mapping highlighted that the levels of several heavy metals on the edge of the contaminated site, at both depths, were very similar to those found in the samples from the outside. Based on these findings, Pb was used as a tracer for heavy metal pollution by its stable isotopes' analysis. The cluster analysis of the isotopic measurements revealed that only the contamination detected inside the industrial site could be attributed to the pollutants migration from the buried waste. Conversely, the contaminants concentrations found in the topsoil samples taken outside the site could be ascribed to contamination sources other than the polluted waste present inside the site.

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Historical record of lead accumulation and source in the tidal flat of Haizhou Bay, Yellow Sea: Insights from lead isotopes

Cited by 19 publications

References 41 publications

Understanding Hg Distribution in Sediments From the Santos and São Vicente Estuarine System, Southeastern Brazil

Understanding Hg Distribution in Sediments From the Santos and São Vicente Estuarine System, Southeastern Brazil

Geochemical partitioning of Cu and Zn in Pelabuhanratu Bay sediment

A multitechnique approach for the identification of multiple contamination sources near a polluted industrial site

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