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M

M. Glória Pereira

Researcher at Lancaster University

Publications -  78
Citations -  1578

M. Glória Pereira is an academic researcher from Lancaster University. The author has contributed to research in topics: Chemistry & Environmental science. The author has an hindex of 20, co-authored 64 publications receiving 1132 citations. Previous affiliations of M. Glória Pereira include Bangor University & Natural England.

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Risk assessment of environmental mixture effects

TL;DR: A review of the current challenges facing the assessment of mixture effects and examines future areas of focus that seek to develop methodologies more suitable for environmental mixtures can be found in this article, where the authors show why accurate risk assessment of mixtures is vital by demonstrating the effect they can have on organisms in the environment.
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An alternative approach to risk rank chemicals on the threat they pose to the aquatic environment

TL;DR: This work presents a new and unbiased method of risk ranking chemicals based on the threat they pose to the aquatic environment by comparing their median UK river water and median ecotoxicity effect concentrations.
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The Predatory Bird Monitoring Scheme: identifying chemical risks to top predators in Britain.

TL;DR: How the PBMS works is described, some of the key scientific and policy drivers for monitoring contaminants in predatory birds are highlighted, and the specific aims, scope, and methods are described.
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Cleaning oiled shores: laboratory experiments testing the potential use of vegetable oil biodiesels.

TL;DR: It is expected that the biodiesel effectiveness should improve in the natural environment particularly in exposed beaches with strong wave action, however, more laboratory and field trials are required to confirm the operational use of biodiesel as a shoreline cleaner.
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Relationship between the concentrations of dissolved organic matter and polycyclic aromatic hydrocarbons in a typical U.K. upland stream

TL;DR: The relationship identified between PAH concentrations and DOC should help to enhance interpretation of PAH monitoring data that are currently sparse both spatially and temporally and, thus, enable more robust assessments of the potential risks of these environmental pollutants to sensitive aquatic organisms and human water supplies.