The concentrations of emerging and persistent organic contaminants (EPOC) in oysters (C_O) from Aveiro Lagoon are represented as a function of their concentrations in water (C_W) and sediment (C_S) using linear and generalized additive models (LM, GAM). Additionally, four sampling seasons, octanol/water partition coefficients (K) and type of EPOC (pyrethroids, flame-retardants, musks, UV filters, polycyclic aromatic hydrocarbons, others) are included in the models. The probabilities of detection of EPOC in water, sediment and oysters are analyzed by GAM. The behavior of contaminants in water is determined by K with a clear seasonal trend. Sediments are reservoirs for hydrophobic compounds with less seasonal variation. Seasonal changes are found for C_O, the last being determined additively both by C_W and hydrophobicity from one side and by C_S and type of contaminants from the other side. The seasonal change of EPOC concentration in water, sediment and oysters is specific for each contaminant type.

在牡蛎新兴和持久性有机污染物（EPOC）（C的浓度_ö）来自Aveiro泻湖被表示为它们的浓度在水中的功能（C _{w ^}）和沉淀物（C_小号），使用线性和广义相加模型（LM，GAM ）。此外，模型还包括四个采样季节，辛醇/水分配系数（K）和EPOC的类型（拟除虫菊酯，阻燃剂，麝香，紫外线过滤剂，多环芳烃等）。用GAM分析了水，沉积物和牡蛎中EPOC的检测可能性。水中污染物的行为由K决定，并具有明显的季节性趋势。沉积物是疏水化合物的储集层，其季节性变化较小。发现C的季节性变化_O，最后是从一边通过C _W和疏水性以及从另一端通过C _S和污染物类型来确定。每种污染物类型中，水，沉积物和牡蛎中EPOC浓度的季节性变化是特定的。