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Ian Allan

Researcher at Norwegian Institute for Water Research

Publications -  111
Citations -  4794

Ian Allan is an academic researcher from Norwegian Institute for Water Research. The author has contributed to research in topics: Water Framework Directive & European union. The author has an hindex of 30, co-authored 103 publications receiving 4109 citations. Previous affiliations of Ian Allan include Norwich University & University of Portsmouth.

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Passive sampling techniques for monitoring pollutants in water

TL;DR: In this paper, the state of the art in using passive sampling technology for environmental monitoring of waterborne organic and inorganic pollutants is reviewed, and strategies for sampler design, calibration, in situ sampling and quality control issues are discussed.
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Pesticides and other micro-organic contaminants in freshwater sedimentary environments—a review

TL;DR: A wide range of issues relating to the presence and fate of pesticides and other micro-organic contaminants (MOCs) in surface freshwater sedimentary environments is reviewed in this article, where an emphasis is placed on those processes, chemical, physical or biological, in which sediments play a role in determining the fate of micro-organics in freshwater environments.
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A “toolbox” for biological and chemical monitoring requirements for the European Union's Water Framework Directive

TL;DR: Emerging biological and chemical monitoring tools that may become part of a 'toolbox' of techniques for use by those in charge of assessing water quality are presented.
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Blue mussels (Mytilus edulis spp.) as sentinel organisms in coastal pollution monitoring: A review

TL;DR: The blue mussel (Mytilus spp.) is widely used as a bioindicator for monitoring of coastal water pollution (mussel watch programs) and some important issues for future research and development are highlighted.
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Calibration and use of the polar organic chemical integrative sampler—a critical review

TL;DR: Overall, POCIS has been applied to a wide range of sampling environments and scenarios and has been proven to be a useful screening tool, however, a more mechanistic approach is required to increase understanding and thus improve the quantitative nature of the measurements.