A new index for assessing heavy metal contamination in sediments of the Beijing-Hangzhou Grand Canal (Zaozhuang Segment): A case study

Zhuang, Wen; Liu, Yongxia; Chen, Qing; Wang, Qian; Zhou, Fengxia

doi:10.1016/j.ecolind.2016.04.029

Cited by 59 publications

(27 citation statements)

References 34 publications

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“…10 Metals present in the F1 fraction are considered to be more weakly bound to the sediments, being able to equilibrate with the aqueous phase and therefore become more readily available. 36,[40][41][42][43] In relation to the reducible fraction (F2), it can be observed that Ni, Co and Pb have a strong affinity with this fraction, which is also potentially available. On average, 37.2% of Ni, 36.1% of Co and 30.5% of Pb were found in this fraction, ranges of 9.5-88%, 14.1-54.4% and 15.1-51.5%, respectively, between sampling points (S1 to S13).…”

Section: Total Trace Elementsmentioning

confidence: 99%

“…Secondary minerals in the silt fraction containing Fe and Al hydroxides (Figure 2) present large surface adsorption areas, increasing the retention of trace elements in this fraction. 19,43 These adsorbed metals (linked to Fe-Mn oxides) have the potential to be transferred to the aquatic environment, by means of changes in the redox potential or pH of the medium. 11,13,44,45 In the oxidizable fraction (F3), relatively high values are observed for Cr and Cu.…”

Section: Total Trace Elementsmentioning

confidence: 99%

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Trace Elements in River Waters and Sediments Before and After a Mining Dam Breach (Bento Rodrigues, Brazil)

Silva¹,

Bellato²,

Neto³

et al. 2018

Quim. Nova

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, the Fundão dam ruptured which caused the spill of a large quantity of tailings from the extraction of iron ores to the Gualaxo do Norte, Carmo and Doce Rivers. Seven months prior to the rupture, our group had collected water and sediment samples at 13 points along the Tripuí Creek and the entire length of the Carmo River. Six months after deposition of the mud, new samples were collected in the Carmo River. Thus, the present study sought to evaluate the concentrations of trace elements in the waters and their distribution and mobility in sediment by BCR sequential extraction before and after the deposition of the tailings mud. Arsenic concentrations in the water samples were between 10.4 and 50.4 µg L -1 , which exceeded 10 ug L -1 (maximum limit permitted by Brazilian environmental regulations for water destined for human consumption) . The tailing mud layer on the sediments caused concentration increases of As (20%), Cd (13%), Co (5%), Cr (9%), Cu (11%), Ni (4%), Pb (7%) and Zn (19%) in the easily remobilized fractions. The presence of the elements in these fractions was indicative of high ecotoxicological risk and potential harm to the health of the local population.

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Section: Total Trace Elementsmentioning

confidence: 99%

Section: Total Trace Elementsmentioning

confidence: 99%

Trace Elements in River Waters and Sediments Before and After a Mining Dam Breach (Bento Rodrigues, Brazil)

Silva¹,

Bellato²,

Neto³

et al. 2018

Quim. Nova

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show abstract

“…Physical and chemical analyzes of sediment samples as organic matter by incineration were performed according to Trindade (1980); granulometry, screening and desimeter, second ISO 13320 (2009), total phosphorus through spectrophotometry according to EPA 6010C (2007) and total organic nitrogen by KJEDHAL (APHA 2005).…”

Section: Methodsmentioning

confidence: 99%

“…The TEL is the concentration below which adverse biological effects are expected to rarely occur, while the concentration above which adverse effects are expected to occur frequently is defined as the PEL (CCME 2001a). Recent studies demonstrate that both methodologies are valid and present similar results (Nasr et al 2014;He et al 2015;McQueen et al 2016;Zhuang et al 2016). Although these guidelines also emphasize the importance of evaluating pollutants other than metals, certain organic pollutants, for instance, are usually taken into account only when indirect evidence has previously indicated their potential presence in a target aquatic system, i.e., certain pesticides in water bodies located near agricultural areas (CCME 1995).…”

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confidence: 99%

The Effects of Sediment Classification Pattern on a Water Column Organism, Ceriodaphnia dubia

Lira

Watanabe

Carvalho

et al. 2018

Bull Environ Contam Toxicol

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The sediment compartment stands out because it functions as both a temporary sink of pollutants and a potential source of these elements that may become available to the water column.This study aimed to correlate the concentrations of total metals in the crude sediment and in the interstitial water with the ecotoxicity in the water column using an a modified sediment ecotoxicity test with Ceriodaphnia dubia. The results indicate that the sediment may contribute to the toxicity in the water column and that such toxicity is possibly not related to the metals present. Based on the chemical analysis of the metals, the Canadian Sediment Quality Guidelines (SQGs) would frame the sediment as non-toxic to benthic organisms, but the SQGs have no reference standards for possible effects on nektonic organisms. Due to the complexity of this compartment, it is fundamental to evaluate the interactions of the different pollutants in the system and possible effects on the nektonic organisms.

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“…uncertainty of the health risk model. The principles of these methods differ, and each method has its own strengths and weaknesses [26,28].…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment System Based on WebGIS for Heavy Metal Pollution in Farmland Soils in China

Pan

Wang

et al. 2017

Sustainability

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Heavy metal pollution in farmlands is a serious threat to sustainable agricultural development and has become a major agro-ecological problem that has attracted public concern in China. This study proposes a soil-crop collaborative risk assessment model that aims to assess the potential safety risks of heavy metal pollution in farmland soils by considering the concentrations of heavy metals in soils and the accumulation effects of heavy metals in crops. Based on these effects, a decision support system for risk assessment of heavy metal pollution in farmland soil is established, in which technologies such as web-based geographic information system, quick response code, radio frequency identification, and web service are introduced as the bases. The proposed system is composed of a mobile data acquisition terminal (MDAT) and a web-based information system (WIS). The MDAT, which is a portable computerized device running on the Android platform, is used for data acquisition or query, and the WIS is used for risk assessment, data management, and information visualization. The system is employed in some county-level cities in China for risk assessment and supervision of heavy metal pollution in farmlands. The practical application results show that the system provides highly efficient decision support for risk assessment of heavy metal pollution in farmland soils.

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A new index for assessing heavy metal contamination in sediments of the Beijing-Hangzhou Grand Canal (Zaozhuang Segment): A case study

Cited by 59 publications

References 34 publications

Trace Elements in River Waters and Sediments Before and After a Mining Dam Breach (Bento Rodrigues, Brazil)

Trace Elements in River Waters and Sediments Before and After a Mining Dam Breach (Bento Rodrigues, Brazil)

The Effects of Sediment Classification Pattern on a Water Column Organism, Ceriodaphnia dubia

Risk Assessment System Based on WebGIS for Heavy Metal Pollution in Farmland Soils in China

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