European Commission, Joint Research Centre, Ispra, VA, Italy.
Mar Pollut Bull. 2009 Oct;58(10):1554-61. doi: 10.1016/j.marpolbul.2009.05.009. Epub 2009 Jun 6.
Spatio-temporal variability of pollutants in the environment is a complex phenomenon that requires a combined approach for its analysis. Whereas data on measured levels of contaminants in various environmental compartments is essential, it is not always possible to monitor at the necessary frequency and with the adequate spatial sampling distribution to capture this variability. Therefore a modelling approach able to complement experimental data and close the gaps in the monitoring programs is useful for assessing the contaminant dynamics occurring at different time scales. In this work a 1D water column fate model has been developed and tested for Polycyclic Aromatic Hydrocarbons (PAHs). The model has been coupled with a simple ecological model that includes a bioaccumulation module. Afterwards, the model has been used to study the temporal variability of contaminant concentrations as well as the fluxes between compartments. The results evidence the complex coupling between spatio-temporal scales and its influence on environmental concentration levels.
环境污染物的时空变异性是一个复杂的现象,需要综合分析。虽然各种环境介质中污染物的实测水平数据是必不可少的,但并非总是能够以必要的频率和适当的空间采样分布进行监测,以捕捉这种变异性。因此,能够补充实验数据并填补监测计划中的空白的建模方法对于评估不同时间尺度上的污染物动态是有用的。在这项工作中,开发并测试了一种用于多环芳烃(PAHs)的一维水柱命运模型。该模型与一个简单的生态模型耦合,其中包括一个生物累积模块。然后,该模型被用于研究污染物浓度的时间变异性以及各隔室之间的通量。结果表明了时空尺度之间的复杂耦合及其对环境浓度水平的影响。