Integration of environmental monitoring with risk assessment
16.02.2017 Three new papers from IRIS Environment within in the development of tools for environmental assessment of offshore discharges have been published.
These tools include environmental predictions through risk models (‘DREAM’) as well as environmental effect monitoring through ‘biomarkers’ measured in exposed living organisms. Both have become ‘North Sea standard’ methods that all operators on the Norwegian Continental Shelf use.
A shortcoming has been a lack of integration of these prediction
and monitoring tools
. Being involved in the development of both
has made IRIS Environment well positioned to bridge this gap. Through research council and industry funded projects we’ve been able to construct our so-called ‘biomarker bridges’1) to establish a more ‘integrated management system’2) for offshore discharges. The results are these days being published in an article ‘trilogy’ that respectively deal with the experimental generation of data, how the links between monitoring and risk parameters have been established, and how interpretation of biomonitoring data now can be done within the environmental risk management scheme that the oil industry uses in the North Sea.
The method will be applied for the first time in the ‘Water Column Monitoring’ survey later this year, which will be lead by IRIS with Norwegian Institute of Water Research, Institute of Marine Research and SINTEF as partners.
Sanni, S., Björkblom, C., Jonsson, H., Godal, B.F., Liewenborg, B., Lyng, E., Pampanin, D.M., (2017). I: Biomarker quantification in fish exposed to crude oil as input to Species Sensitivity Distributions. Mar Env Res. 125. 10-24. http://dx.doi.org/10.1016/j.marenvres.2016.12.002.
Sanni, S., Lyng, E., Pampanin, D.M., Smit, M.G.D., (2016, in press*). II: Species Sensitivity Distributions based on Biomarkers and Whole Organism Responses for integrated impact and risk assessment criteria. Mar Env Res. 13p. http://dx.doi.org/10.1016/j.marenvres.2016.12.003.
Sanni, S., Lyng, E., Pampanin, D.M. (2016, in press*). III: Use of Biomarkers as Risk Indicators in Environmental Risk Assessment of oil based discharges offshore. Mar Env Res. 10p. http://dx.doi.org/10.1016/j.marenvres.2016.12.004.
*) in press references for preliminary online versions. They will later appear in Vol. 125 of Mar. Env. Res. together with the first paper with 2017 references (in the April issue).
Contributing RCN projects: 1)‘Biomarker Bridges’ (178408/S40) and 2)‘IMS’ (204023/E40).