University of Stavanger, Faculty of Science and Technology, Department of Mathematics and Natural Science, Kristine Bonnevies vei 22, N-4036 Stavanger, Norway.
Mar Environ Res. 2013 Aug;89:83-90. doi: 10.1016/j.marenvres.2013.05.005. Epub 2013 May 28.
Offshore oil & gas industry is moving exploration and production activities into Arctic and deep water regions. Governmental regulations require environmental impact assessments before operations to evaluate the possible effects of accidental oil releases. These are often performed by numerical fate models, like the Oil Spill Contingency and Response (OSCAR) model, which has become an industry standard in Norway. In this model, biodegradation rates are adjusted to local conditions by temperature compensation according to a Q10 approach. Q10 is the multiplier by which rates of enzymatic reactions increase at a 10 °C temperature rise. Herein, this Q10 approach implemented in the OSCAR model is investigated based on published data and novel obtained results. Overall, biodegradation rate predictions calculated by temperature compensation are found to be questionable, and choosing one universal Q10 value is considered not feasible. The high variation in Q10 values is herein attributed to indirect effects of temperature.
海上石油和天然气行业正在将勘探和生产活动转移到北极和深海地区。政府法规要求在运营前进行环境影响评估,以评估意外石油泄漏的可能影响。这些通常通过数值命运模型来执行,例如溢油应急响应(OSCAR)模型,该模型已成为挪威的行业标准。在该模型中,根据 Q10 方法通过温度补偿来调整生物降解率以适应当地条件。Q10 是在 10°C 温度升高时酶反应速率增加的倍数。在此,根据已发表的数据和新获得的结果,研究了 OSCAR 模型中实施的 Q10 方法。总体而言,通过温度补偿计算的生物降解率预测存在疑问,并且认为选择一个通用的 Q10 值是不可行的。在此,Q10 值的高度变化归因于温度的间接影响。