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首页> 外文期刊>Environmental toxicology and chemistry >COMPARATIVE SEDIMENT QUALITY GUIDELINE PERFORMANCE FOR PREDICTING SEDIMENT TOXICITY IN SOUTHERN CALIFORNIA, USA
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COMPARATIVE SEDIMENT QUALITY GUIDELINE PERFORMANCE FOR PREDICTING SEDIMENT TOXICITY IN SOUTHERN CALIFORNIA, USA

机译：预测美国加利福尼亚南部沉积物毒性的比较沉积物质量准则性能

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摘要

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.
机译：加利福尼亚南部（美国）的多个机构使用了几种类型的沉积物质量指南（SQG）来解释沉积物化学数据，但是很少有信息可用来确定最佳的使用方法。本研究的目的是评估五个SQG预测加利福尼亚南部沿海地区沉积物毒性的存在和不存在的预测能力：影响范围-中位数商（ERMq），共识中等影响浓度（共识MEC），平均沉积质量准则商（SQGQ1），表观效应阈值（AET）和有机物的平衡分配（EqP）。当每种方法应用于相同的南加州数据集时，SQG之间的预测能力差异很大。在确定无毒样品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。通常，对于有机物方法，平均ERMq，SQGQ1q和共识MECq方法具有比AET和EqP更好的总体预测能力。除了评估SQG对化学混合物的预测能力外，还针对有和没有DDT的平均ERMq评估了单个SQG值（DDT）的影响。没有DDT的平均ERMq比有DDT的平均ERMq具有更好的预测毒性样品的能力。不同方法之间的区分能力相似，某些化学品的SQG值准确性差异很大，并且大多数样品中存在复杂的污染物混合物，这凸显了需要结合使用SQG（例如平均商）。应事先确定使用区域数据的管理目标和SQG预测能力，以便可以针对特定应用确定最合适的SQG方法和关键值。

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