Vidal Doris E, Bay Steven M
Southern California Coastal Water Research Project, Westminster 92683-5218, USA.
Environ Toxicol Chem. 2005 Dec;24(12):3173-82. doi: 10.1897/04-656r.1.
Several types of sediment quality guidelines (SQGs) are used by multiple agencies in southern California (USA) to interpret sediment chemistry data, yet little information is available to identify the best approaches to use. The objective of this study was to evaluate the predictive ability of five SQGs to predict the presence and absence of sediment toxicity in coastal southern California: the effects range-median quotient (ERMq), consensus moderate effect concentration (consensus MEC), mean sediment quality guideline quotient (SQGQ1), apparent effects threshold (AET), and equilibrium partitioning (EqP) for organics. Large differences in predictive ability among the SQGs were obtained when each approach was applied to the same southern California data set. Sediment quality guidelines that performed well in identifying nontoxic samples were not necessarily the best predictors of toxicity. In general, the mean ERMq, SQGQ1q, and consensus MECq approaches had a better overall predictive ability than the AET and EqP for organics approaches. In addition to evaluating the predictive ability of SQGs addressing chemical mixtures, the effect of an individual SQG value (DDT) was also evaluated for the mean ERMq with and without DDT. The mean ERMq without DDT had a better ability to predict toxic samples than the mean ERMq with DDT. Similarities in discriminatory ability between different approaches, variations in accuracy among SQG values for some chemicals, and the presence of complex mixtures of contaminants in most samples underscore the need to apply SQGs in combination, such as the mean quotient. Management objectives and SQG predictive ability using regional data should be determined beforehand so that the most appropriate SQG approach and critical values can be identified for specific applications.
美国南加州的多个机构使用多种类型的沉积物质量准则（SQG）来解释沉积物化学数据，但对于确定最佳使用方法的信息却很少。本研究的目的是评估五种SQG预测南加州沿海沉积物毒性存在与否的预测能力：效应范围中位数商（ERMq）、共识中等效应浓度（共识MEC）、平均沉积物质量准则商（SQGQ1）、表观效应阈值（AET）和有机物的平衡分配（EqP）。当将每种方法应用于相同的南加州数据集时，各SQG在预测能力上存在很大差异。在识别无毒样本方面表现良好的沉积物质量准则不一定是毒性的最佳预测指标。总体而言，平均ERMq、SQGQ1q和共识MECq方法比AET和有机物的EqP方法具有更好的整体预测能力。除了评估处理化学混合物的SQG的预测能力外，还评估了单个SQG值（滴滴涕）对有和没有滴滴涕的平均ERMq的影响。没有滴滴涕的平均ERMq比有滴滴涕的平均ERMq具有更好的预测有毒样本的能力。不同方法在判别能力上的相似性、某些化学品的SQG值在准确性上的差异以及大多数样本中存在复杂的污染物混合物，都强调了结合应用SQG（如平均商）的必要性。应事先确定使用区域数据的管理目标和SQG预测能力，以便为特定应用确定最合适的SQG方法和临界值。
