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mass balance approach (i.e., by difference), the large uncertainty in some measurements means that using the remainder to estimate sediment impacts is not useful for
injury analysis, for example, in the Ixtoc overestimation by Jernelöv and Lindén
(Jernelöv and Lindén 1981). Laboratory measurements can be used to test the
mechanisms of marine snow formation but should be interpreted with caution, especially in cases where field concentrations of biological material or oil are exceeded.
In the field, sediment traps can be used to determine the amount and nature of
sinking oiled marine snow and can provide an estimate of the flux of oil to the sediment. While logistically challenging, it is also beneficial to directly measure petroleum in sediments to determine whether injury has occurred, and it is important that
methods clearly differentiate between petroleum and petrocarbon.
In addition to discrete sample collection and laboratory analysis, new methods
have emerged to follow oil in the ocean, including remote sensing techniques and
oil spill models. Complex computational models are increasingly important in
understanding the fate of spilled oil, as they can fill in gaps in time and space for
which data are unavailable or unobtainable. However, these tools are limited based
on the quality of the input data and ultimately rely on incorporating the field and
experimental measurements discussed above. Models must recognize the speed of
biodegradation of dispersed oil—oceanographic models that treat oil as if it were a
persistent dye will massively mislead the public, even if traces of very biodegraded
oil do indeed reach as far as the models suggest (Maltrud et al. 2010). While it is
impossible to predict the exact biodegradation rate of a spilled oil in a given place
and time, good experimental data, using realistic temperatures, organisms, and
nutrient levels, are available to incorporate biodegradation processes into models,
resulting in improved prediction of oil fates.
References
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