Vertical distribution of Cd, Pb and Zn in soils near smelters in the North of France

Sterckeman, Thibault; Douay, Francis; Proix, Nicolas; Fourrier, Hervé

doi:10.1016/s0269-7491(99)00165-7

Cited by 303 publications

(169 citation statements)

References 20 publications

Supporting

Mentioning

148

Contrasting

Unclassified

Order By: Relevance

“…Under the same soil conditions the mobility of Cd, Cu and Zn can be ranked in the following order: Cd > > Pb ! Zn (Sterckeman et al, 2000). The mobility of Cd seems to be facilitated at low pH.…”

Section: Factormentioning

confidence: 95%

Identifying sources of soil inorganic pollutants on a regional scale using a multivariate statistical approach: Role of pollutant migration and soil physicochemical properties

Zhang

Luo

et al. 2008

Environmental Pollution

View full text Add to dashboard Cite

Section: Factormentioning

confidence: 95%

Identifying sources of soil inorganic pollutants on a regional scale using a multivariate statistical approach: Role of pollutant migration and soil physicochemical properties

Zhang

Luo

et al. 2008

Environmental Pollution

View full text Add to dashboard Cite

“…Industrialization, rapid urbanization and military activities in particular geographic locations are sources of soil pollution with toxic metals in many parts of the world [1][2][3][4][5][6]. In urban and industrial areas, human exposure to enormous amounts of toxic metals, especially arsenic (As), chromium (Cr), nickel (Ni), copper (Cu), lead (Pb) and zinc (Zn), causes serious health disorders, including disruption of the nervous and digestive systems (e.g., acne, allergies, anemia, anorexia, arthritis, sciatica, schizophrenia), the normal functioning of internal organs (e.g., lungs, kidneys, liver), damage to the circulatory system (e.g., asthma and chronic bronchitis) and the blood composition and many other unfavorable consequences [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Digital Mapping of Toxic Metals in Qatari Soils Using Remote Sensing and Ancillary Data

Kheir

Adhikari

et al. 2016

Remote Sensing

View full text Add to dashboard Cite

After decades of mining and industrialization in Qatar, it is important to estimate their impact on soil pollution with toxic metals. The study utilized 300 topsoil (0-30 cm) samples, multi-spectral images (Landsat 8), spectral indices and environmental variables to model and map the spatial distribution of arsenic (As), chromium (Cr), nickel (Ni), copper (Cu), lead (Pb) and zinc (Zn) in Qatari soils. The prediction model used condition-based rules generated in the Cubist tool. In terms of R 2 and the ratio of performance to interquartile distance (RPIQ), the models showed good predictive capabilities for all elements. Of all of the prediction results, Cu had the highest R 2 = 0.74, followed by As > Pb > Cr > Zn > Ni. This study found that all of the models only chose images from January and February as predictors, which indicates that images from these two months are important for soil toxic metals' monitoring in arid soils, due to the climate and the vegetation cover during this season. Topsoil maps of the six toxic metals were generated. The maps can be used to prioritize the choice of remediation measures and can be applied to other arid areas of similar environmental/socio-economic conditions and pollution causes.

show abstract

“…is the dissolved metal (Me) concentration and FCV Me is the hardness-dependent final chronic value for the metal (Lourino-Cabana et al 2011, Sterckeman et al 2000. While the IWCTU Me exceeds 1, it implies that there is a risk of toxicity to aquatic organism.…”

Section: Pore Water Toxicity Analysismentioning

confidence: 99%

Distributions, fluxes, and toxicities of heavy metals in sediment pore water from tributaries of the Ziya River system, northern China

Zhu

Shan

Li³

et al. 2015

Environ Sci Pollut Res

View full text Add to dashboard Cite

The distributions and mobilities of metals in pore water strongly influence the biogeochemical processes and bioavailabilities of metals at sediment-water interfaces. Heavy metal concentrations were measured in pore water samples from the Shaocun River (SR), the Wangyang River (WR), and the Xiao River (XR), tributaries of the Ziya River system, northern China. The aim was to assess heavy metal contamination in the system and the associated environmental risks. The mean Cd, Cr, Cu, Ni, Pb, and Zn concentrations in all three tributaries were 0.373, 57.1, 37.7, 20.4, 14.0, and 90.6 μg/L, respectively. The calculated Cd, Cr, Cu, Ni, Pb, and Zn diffusion fluxes in the rivers were −0.427 to 0.469, −71.8 to 42.5, 3.16 to 86.6, 5.29 to 14.0, 7.24 to 19.0, and −204 to 21.9 μg/(m 2 day), respectively, showing that the pore water was a source of most of the metals to the water column. Only Cu and Pb in the XR and Cu in the WR exceeded the final chronic value recommended by the US Environmental Protection Agency, but the metals in the WR sediment could have caused toxic effects.These results are likely to be useful to the authorities responsible for sustainable river management.

show abstract

Vertical distribution of Cd, Pb and Zn in soils near smelters in the North of France

Cited by 303 publications

References 20 publications

Identifying sources of soil inorganic pollutants on a regional scale using a multivariate statistical approach: Role of pollutant migration and soil physicochemical properties

Identifying sources of soil inorganic pollutants on a regional scale using a multivariate statistical approach: Role of pollutant migration and soil physicochemical properties

Digital Mapping of Toxic Metals in Qatari Soils Using Remote Sensing and Ancillary Data

Distributions, fluxes, and toxicities of heavy metals in sediment pore water from tributaries of the Ziya River system, northern China

Contact Info

Product

Resources

About