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Brūmelis, Guntis; Lapiņa, Lita; Nikodemus, Oļģerts; Tabors, Guntis

doi:10.1023/a:1014714111050

Cited by 35 publications

(2 citation statements)

References 30 publications

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“…4) showed the grouping of metals in factor 1 and factor 2. According to numerous studies (Brümelis et al 2002;Manta et al 2002;Micó et al 2006;Yay et al 2008;Chen et al 2008) the association of these metals with the factors clearly reflected anthropogenic influence or geogenic characteristics. Cobalt, Cr, Mn, and Ni were known to be geogenic influenced while Cd, Cu, Pb, Zn, and Hg were typically anthropogenic influenced (Bloemen et al 1995).…”

Section: Principal Component Analysismentioning

confidence: 99%

Assessing heavy-metal contamination and sources by GIS-based approach and multivariate analysis of urban–rural topsoils in Wuhan, central China

Ming

et al. 2009

Environ Geochem Health

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Nine potentially harmful heavy metals (Cd, Co, Cr, Cu, Hg, Mn, Pb, Ni, and Zn) were measured in 477 topsoil samples collected from urban-rural areas in the city of Wuhan in order to identify their concentrations and possible sources, and characterize their spatial variability for risk assessment. Results showed that in most rural areas heavy-metal concentrations in soil were similar to their natural background values, but Cd, Cu, Hg, Pb, and Zn concentrations were relatively higher in densely populated districts and around industrial facilities. Multivariate analyses (correlation matrix, principal component analysis, and cluster analysis) indicated that Cd, Cu, Hg, Pb, and Zn were mainly derived from anthropogenic inputs, and Co, Cr, and Mn were controlled by natural source, whereas Ni appeared to be affected by both anthropogenic and natural sources. The result of risk assessment indicated that nearly 48% of the study area suffered from moderate to severe contamination.

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Section: Principal Component Analysismentioning

confidence: 99%

Assessing heavy-metal contamination and sources by GIS-based approach and multivariate analysis of urban–rural topsoils in Wuhan, central China

Ming

et al. 2009

Environ Geochem Health

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“…In unpolluted forest soils (podzols) in Poland, Andersen et al (1994) using aqua regia found 6.1 and 2.1 mg kg -1 of Ni in the surface (O horizon) and mineral layers, respectively. A little higher value in the forest floor (average 9.2 mg kg -1 ) was found in unpolluted forest soils in 97 sites in Latvia by Brumelis et al (2002), who used HNO 3 for digestion. In Poland, Chrzan et al (2013) found similar concentrations of Ni (8.0-9.5 mg kg -1 ) extracted with HNO 3 in the surface soils of three forested stands in different distances from Krakow.…”

Section: Soilsmentioning

confidence: 92%

Nickel in forests – a short review on its distribution and fluxes

Michopoulos¹

2021

Folia Oecologica

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The distribution and cycling of nickel (Ni) in forests is greatly affected by their proximity to emission sources of the metal. The throughfall deposition is always richer in Ni than the bulk deposition. It can be inferred that some dry deposition enriches the throughfall. In remote forested areas, the hydrological fluxes of Ni do not differ a lot from those in litterfall. In addition, the current year needles in conifers have higher concentrations than the older needles, a sign of absorption and mobility of the metal. In contrast, near an industrial Ni source the older needles accumulate much more of the metal. The Ni content in bark tissue can be used to map the deposition distribution of the metal around an area (rural or urban). The concentrations of Ni in forest soils is also dependent on their distances from the Ni emission sources and the nature of the soil parent material. The Ni concentrations increase with soil depth due to the geogenic origin of the metal. Low pH greatly enhances the mobility of the metal in soils, much more than the leachability of organic matter.

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Surficial and Vertical Distribution of Heavy Metals in Different Estuary Wetlands in the Pearl River, South China

Zhang

Cui

Zhang

2012

CLEAN Soil Air Water

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A total of 87 soil profiles sampled from five types of wetlands in the Pearl River estuary were analyzed to investigate the surficial and vertical distributions of heavy metals (Cd, Cr, Cu, Ni, Pb, and Zn). The results show that wetlands directly connected with rivers (e.g., riparian wetlands, estuarine wetlands, and mangrove wetlands) has much higher metal concentrations than those indirectly connected with rivers (e.g., pond wetlands and reclaimed wetlands). The river water is the major pollution source for all investigated heavy metals. The vertical distribution of heavy metals can be classified into three patterns: (i) linear distribution pattern. The concentration of heavy metals gradually decreases with an increase in soil depth (for riparian and estuarine wetlands); (ii) irregular and stable pattern (for pond and reclaimed wetlands); and (iii) middle enrichment pattern (for mangrove wetlands). In addition to river-borne inputs, a variety of vegetation composition, hydraulic conditions, and human activities also contribute to the variation in distribution of heavy metals in different wetlands. Soil properties (e.g., particle size, pH, salinity, and SOM) also affect the distribution of trace metals in each soil layer. The major pollution source of heavy metals is industrial wastewater. Other sources include agriculture and domestic premises, and atmospheric deposition. This study provides a sound basis for the risk assessment of heavy metals in the studied wetlands and for wetland conservation in general.

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Untitled

Cited by 35 publications

References 30 publications

Assessing heavy-metal contamination and sources by GIS-based approach and multivariate analysis of urban–rural topsoils in Wuhan, central China

Assessing heavy-metal contamination and sources by GIS-based approach and multivariate analysis of urban–rural topsoils in Wuhan, central China

Nickel in forests – a short review on its distribution and fluxes

Surficial and Vertical Distribution of Heavy Metals in Different Estuary Wetlands in the Pearl River, South China

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