Heavy metal contamination in overbank sediments of the Geul river (East Belgium): Its relation to former Pb-Zn mining activities

1994 ◽  
Vol 24 (1) ◽  
pp. 12-21 ◽  
Author(s):  
R. Swennen ◽  
I. Van Keer ◽  
W. De Vos
Keyword(s):  
Heavy Metal ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Mining Activities ◽  
Overbank Sediments

scholarly journals Ecological risk assessment of heavy metal-contaminated soils of selected villages in Zamfara State, Nigeria

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Sharhabil Musa Yahaya ◽  
Fatima Abubakar ◽  
Nafiu Abdu
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Contaminated Soils ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Pollution Indices ◽  
Mining Activities ◽  
Positive Correlation ◽  
Flame Atomic Absorption

AbstractThe incidence of heavy metal contamination in Zamfara State, northern Nigeria, due to artisanal mining in some villages has resulted in the pollution of a vast area of land and water. This study evaluated the extent of environmental risks caused by heavy metals. It involved five (5) villages (Bagega, Dareta, Sunke, Tunga, and Abare) where mining activities were taking place and Anka town with no record of mining activities served as control. In each of the five villages, three sites (3) were identified as a mining site, processing site, and village making a total of sixteen (16) sites. Bulked soil samples were collected in triplicate and analyzed for iron, lead, cadmium, chromium, zinc, and nickel using flame atomic absorption spectrophotometry. Measured concentrations of the heavy metals in soils were then used to calculate the pollution and ecological risk pose by heavy metals. Their concentrations were in the order Fe > Pb > Cr > Zn > Cd > Ni, with Pb and Cd having a concentration higher than permissible levels for soils and accounted for 98.64% of the total potential ecological risk. Also, all the different pollution indices examined showed that all the sites were polluted with Cd, and all the processing sites were polluted with Pb. This reveals that processing sites pose more risk to heavy metal contamination. Correlation analysis showed a highly significant (p < 0.001) positive correlation between Pb and Zn, Cr and Ni, and a significant (p < 0.01) positive correlation between Fe and Pb, Zn and Cr. The principal component analysis suggested that Pb, Zn, Cr, and Ni likely originated from the same source, i.e., mining activities, and Fe and Cd originated from the abundant parent material in the study area.

EVALUATION OF AIRBORNE HEAVY METAL CONTAMINATION BY PLANTS GROWING UNDER INDUSTRIAL EMISSIONS

2010 ◽  
Vol 9 (7) ◽  
pp. 903-908 ◽  
Author(s):  
Payam Najafi ◽  
Mitra Ataabadi ◽  
Mehran Hoodaji ◽  
Fuad Adib
Keyword(s):  
Heavy Metal ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Industrial Emissions

ASSESSMENT OF HEAVY METAL CONTAMINATION AND IMPACT ON SURFACE WATERS IN IASI CITY, ROMANIA

2009 ◽  
Vol 8 (6) ◽  
pp. 1541-1551
Author(s):  
Corneliu Horaicu ◽  
Florea Cornel Gabrian ◽  
Irina Grozavu ◽  
Catalin Constantin Calu ◽  
Monica Horaicu ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Surface Waters ◽  
Metal Contamination ◽  
Heavy Metal Contamination

Esr Indication of Heavy Metal Contamination of Urban Atmosphere

1993 ◽  
Vol 27 (7-8) ◽  
pp. 263-269 ◽  
Author(s):  
B. Iosefzon-Kuyavskaya ◽  
N. Myrlyan ◽  
A. Shames
Keyword(s):  
Heavy Metal ◽  
Air Pollution ◽  
Electron Spin Resonance ◽  
Free Radical ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Urban Atmosphere ◽  
Stable Free Radical ◽  
Spin Resonance ◽  
Line Characteristic

Electron Spin Resonance (ESR) was used for the examination oi dust samples collected from snow in an urban area. On the main doublet ESR line attributed to the signal of paramagnetic metals, a singlet line characteristic for stable free radical centers (FRC) was observed. A negative correlation of significant level between FRC signal intensity and heavy metal (HM) content was established. It was shown that FRC line intensity of dust may be used as a surrogate parameter for the estimation of air pollution by HM.

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