Shifts in caddisfly species composition in Sacramento River invertebrate communities in the presence of heavy metal contamination

1982 ◽  
Vol 29 (3) ◽  
pp. 306-312 ◽  
Author(s):  
Eugene F. Zanella
Keyword(s):  
Heavy Metal ◽  
Species Composition ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Sacramento River ◽  
Invertebrate Communities

Soil microfungi in an area polluted by heavy metals

1985 ◽  
Vol 63 (3) ◽  
pp. 448-455 ◽  
Author(s):  
Anders Nordgren ◽  
Erland Bååth ◽  
Bengt Söderström
Keyword(s):  
Heavy Metal ◽  
Species Composition ◽  
Forest Soils ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Coniferous Forest ◽  
Loss On Ignition ◽  
Multivariate Statistical ◽  
Dry Soil ◽  
Geomyces Pannorum

The microfungal species composition was studied in coniferous forest soils surrounding a brass mill at Gusum in southeast Sweden. Both the Cu and Zn concentrations were ca. 20 000 μg/g dry soil close to the mill. Pb concentration was ca. 1000 μg/g dry soil and the pH about 2 units above the normal of 3.5–4. The microfungal species composition (determined by the dilution plate technique) was strongly affected by the heavy-metal contamination. Close to the mill there was a decrease in isolation frequency of fungi common in coniferous forest soils, e.g., Penicillium spinulosum, P. montanense, P. brevicompactum, Oidiodendron cf. tenuissimum, O. cf. echinulatum, and O. maius. Other less common or rare fungi increased, e.g., Paecilomyces farinosus, Geomyces pannorum, Chalara constricta, C. longipes, and sterile forms. Fungi of the genus Mortierella seemed affected little by the heavy-metal contamination. Multivariate statistical analyses showed that the heavy-metal pollution was the dominating influence along the metal gradient and that soil moisture and loss on ignition accounted for little of the variation in the fungal data.

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.

A brief Survey of Assessment models to Predict stress Level of Heavy Metals in Soils

2020 ◽  
Vol 13 ◽  
Author(s):  
Sangeetha Annam ◽  
Anshu Singla
Keyword(s):  
Economic Growth ◽  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Stress Level ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Human Life ◽  
High Stress ◽  
Heavy Metal Stress

Abstract: Soil is a major and important natural resource, which not only supports human life but also furnish commodities for ecological and economic growth. Ecological risk has posed a serious threat to the ecosystem by the degradation of soil. The high-stress level of heavy metals like chromium, copper, cadmium, etc. produce ecological risks which include: decrease in the fertility of the soil; reduction in crop yield & degradation of metabolism of living beings, and hence ecological health. The ecological risk associated, demands the assessment of heavy metal stress levels in soils. As the rate of stress level of heavy metals is exponentially increasing in recent times, it is apparent to assess or predict heavy metal contamination in soil. The assessment will help the concerned authorities to take corrective as well as preventive measures to enhance the ecological and hence economic growth. This study reviews the efficient assessment models to predict soil heavy metal contamination.

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