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Oil spill sampling and the Bonn-Oil Spill Identification Network: a common method for oil spill identification
Dahlmann, G.; Kienhuis, P. (2016). Oil spill sampling and the Bonn-Oil Spill Identification Network: a common method for oil spill identification, in: Carpenter, A. (Ed.) Oil pollution in the North Sea. The Handbook of Environmental Chemistry, 41: pp. 237-254. hdl.handle.net/10.1007/698_2015_366
In: Carpenter, A. (Ed.) (2016). Oil pollution in the North Sea. The Handbook of Environmental Chemistry, 41. Springer: Heidelberg. ISBN 978-3-319-23900-2. xii, 312 pp., more
In: The Handbook of Environmental Chemistry. Springer: Heidelberg. ISSN 1867-979X, more
Peer reviewed article  

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Keyword
    Marine
Author keywords
    Oil Spill Identification Network; Environmental forensics; Oil Spill Weathering; OSINET; COSIweb; Bonn Agreement; Computerized Oil Spill Identification; Web-based

Authors  Top 
  • Dahlmann, G.
  • Kienhuis, P.

Abstract
    This contribution describes the development and some highlights of the internationally agreed standard procedure CEN/TR 15522–2:2012: “Oil spill identification – Waterborne petroleum and petroleum products – Part 2: Analytical methodology and interpretation of results based on GC-FID and GC-MS low resolution analyses” [1]. In particular, handling of changes caused by weathering of spilled oil is described here: PW plots (partial weathering plots) allow a proper and unequivocal identification of oil, despite those changes. CEN/TR 15522–2:2012 has been produced by Bonn-OSINet (Oil Spill Identification Network of experts within the Bonn Agreement). Researchers from all over the world have cooperated and contributed to its development. This method has been continuously improved and tested over the last decade. Cooperation of laboratories culminated in COSIweb (Computerized Oil Spill Identification), an online program which includes a huge database of more than 2,200 oil samples at the time of writing and an automatic evaluation system. This web-based resource provides the possibility to handle raw data produced anywhere in the world and to evaluate these data as if they were produced in a user’s own laboratory.

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