Spatial variability of metal pollution in groyne fields of the Middle Elbe – Implications for sediment monitoring

Baborowski, Martina; Büttner, Olaf; Morgenstern, Peter; Jancke, Thomas; Westrich, Bernhard

doi:10.1016/j.envpol.2012.03.046

Cited by 25 publications

(12 citation statements)

References 25 publications

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“…Metals concentration in the environment was found to positively correlate with antibiotic resistance genes abundance (Ji et al, 2012;Knapp et al, 2011). This is of great concern since metals can be found in elevated concentrations in many environmental compartments (Baborowski et al, 2012;Nicholson et al, 2003) and are not subjected to degradation, thus providing a persistent selective pressure.…”

Section: Introductionmentioning

confidence: 97%

Co-selection of antibiotic and metal(loid) resistance in gram-negative epiphytic bacteria from contaminated salt marshes

Henriques

Tacão

Leite

et al. 2016

Marine Pollution Bulletin

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Section: Introductionmentioning

confidence: 97%

Co-selection of antibiotic and metal(loid) resistance in gram-negative epiphytic bacteria from contaminated salt marshes

Henriques

Tacão

Leite

et al. 2016

Marine Pollution Bulletin

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“…After entering food chain, they can cause potential threat to human beings and other organisms [4]. In aquatic systems, sediments are the main sink of various contaminants discharged from industrial and agricultural processes [5][6][7], and they are regarded as an effective archive recording heavy metal contamination [2,8,9]. To date, a large number of studies have reported the accumulation of heavy metals in the sediments of aquatic ecosystems [3,[10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution and Contamination Assessment of Heavy Metals in Surface Sediments of the Caofeidian Adjacent Sea after the Land Reclamation, Bohai Bay

Zhu

Bing

Huang

et al. 2018

Journal of Chemistry

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Land reclamation can significantly influence spatial distribution of heavy metals in inshore sediments. In this study, the distribution and contamination of heavy metals (Cd, Cr, Cu, Ni, Pb, and Zn) in inshore sediments of Bohai Bay were investigated after the land reclamation of Caofeidian. The results showed that the concentrations of Cd, Cr, Cu, Ni, Pb, and Zn in the sediments were 0. 20-0.65, 27.16-115.70, 11.14-39.00, 17.37-65.90, 15.08-24.06, and 41.64-139.56 mg/kg, respectively. These metal concentrations were generally higher in the area of Caofeidian than in other Chinese bays and estuaries. Spatially, the concentrations of Cd, Cr, Cu, Ni, and Zn were markedly lower in the sediments close to Caofeidian compared with other regions, whereas the concentrations of Pb showed an opposite case. Hydrodynamic conditions after the land reclamation were the major factor influencing the distribution of heavy metals in the sediments. Grain sizes dominated the distribution of Cu and Zn, and organic matters and Fe/Mn oxides/hydroxides also determined the distribution of the heavy metals. Multiple contamination indices showed that the inshore sediments were moderately to highly contaminated by Cd and slightly contaminated by other heavy metals. Similarly, Cd showed a high potential ecorisk in the sediments, and other metals were in the low level. Chromium contributed to higher exposure toxicity than other metals by the toxicity unit and toxic risk index. The results of this study indicate that after the land reclamation of Caofeidian the contamination and ecorisk of heavy metals in the sediments markedly decreased in the stronger hydrodynamic areas.

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“…The higher total sediment storage in the lower terrace, depressions and abandoned channels are largely the product of a lower ground level with a higher flooding frequency and duration, as well as the lower flow velocity caused by the concave morphology (Ockenfeld et al 2005, Baborowski et al 2005. These morphological features act as sinks not only for nutrientrich sediments, but also for associated contaminants such as heavy metals (Middelkoop 2000, Gläßer and Reinartz 2005, Baborowski et al 2012). …”

Section: Introductionmentioning

confidence: 96%

“…The Elbe River is one of the most polluted major rivers of Europe. Many investigations into the flood events and soil pollution involving this river have been conducted (Ockenfeld et al 2005, Krüger et al 2006, Schulz-Zunkel and Krueger 2009, Rupp et al 2010, Zimmer et al 2011, Baborowski et al 2012, Zachmann et al 2013. The Elbe River is an example of a catchment with old industrial and mine sites, which have caused polluted or contaminated river sediments.…”

Section: Introductionmentioning

confidence: 99%

“…The Elbe River is an example of a catchment with old industrial and mine sites, which have caused polluted or contaminated river sediments. During flooding events, the eco-toxicologically-relevant contaminants in river sediments have been remobilized, abandoned industrial and mine sites were washed out and eroded, and particles were transported and accumulated in the floodplain ecosystem (Baborowski et al 2012). …”

Section: Introductionmentioning

confidence: 99%

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Detecting heavy metal pollution of floodplain vegetation in a pot experiment using reflectance spectroscopy

Götze

Gläßer

Jung

2016

International Journal of River Basin Management

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Floodplain soils at the Elbe River are frequently polluted by heavy metals. Metal enrichments are linked to the composition of the floodplain's plant community. Various studies have shown that soil characteristics, floodplain geomorphology and other factors may influence plant physiology and have demonstrated an overlapping of heavy metal pollution and growing conditions such as water and nutrient supply. The goal of this study was to assess and separate the current heavy metal contamination of the floodplain vegetation from other parameters using spectrometric laboratory measurements. A standardized pot experiment with floodplain vegetation in differently contaminated soils provided the basis for measurements. Various vegetation indices and spectral methods were used to normalize the spectral curve of the vegetation and to investigate the potential of different methods for separating plant stress in floodplain vegetation. The results of this study show the influence of heavy metals on the spectral characteristics of the focal plants. From eleven tested methods, five showed a significant correlation (R² > 0.6) to heavy metal content. Most methods with a significant correlation to heavy metal also showed a high correlation (R² > 0.5) to other investigated parameters such as chlorophyll content and nutrient content. Only the developed method (band depth at continuum removal spectra at 1725 nm (CR 1725 )) showed a significant relationship to the heavy metal load (R² = 0.644) and not to other parameters, and can therefore be used as basis for further work in field studies in the context of heavy metal stress in floodplain plants. Downloaded by [Library Services City University London] at 01:22 01 July 2016 2

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Spatial variability of metal pollution in groyne fields of the Middle Elbe – Implications for sediment monitoring

Cited by 25 publications

References 25 publications

Co-selection of antibiotic and metal(loid) resistance in gram-negative epiphytic bacteria from contaminated salt marshes

Co-selection of antibiotic and metal(loid) resistance in gram-negative epiphytic bacteria from contaminated salt marshes

Spatial Distribution and Contamination Assessment of Heavy Metals in Surface Sediments of the Caofeidian Adjacent Sea after the Land Reclamation, Bohai Bay

Detecting heavy metal pollution of floodplain vegetation in a pot experiment using reflectance spectroscopy

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