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Applications of Numerical Sediment Quality Targets for Assessing Sediment Quality Conditions in a US Great Lakes Area of Concern

机译:数值泥沙质量目标在评估美国大湖区泥沙质量条件中的应用

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Contaminated sediments are receiving increasing recognition around the world, leading to the development of various sediment quality indicators for assessment, management, remediation, and restoration efforts. Sediment chemistry represents an important indicator of ecosystem health, with the concentrations of contaminants of potential concern (COPCs) providing measurable characteristics for this indicator. The St. Louis River Area of Concern (AOC), located in the western arm of Lake Superior, provides a case study for how numerical sediment quality targets (SQTs) for the protection of sediment-dwelling organisms can be used to support the interpretation of sediment chemistry data. Two types of SQTs have been established for 33 COPCs in the St. Louis River AOC. The Level I SQTs define the concentrations of contaminants below which sediment toxicity is unlikely to occur, whereas the Level II SQTs represent the concentrations that, if exceeded, are likely to be associated with sediment toxicity. The numerical SQTs provide useful tools for making sediment management decisions, especially when considered as part of a weight-of-evidence approach that includes other sediment quality indicators, such as sediment contaminant chemistry and geochemical characteristics, sediment toxicity, and benthic macroinvertebrate community structure. The recommended applications of using the numerical SQTs in the St. Louis River AOC include: designing monitoring programs, interpreting sediment chemistry data, conducting ecological risk assessments, and developing site-specific sediment quality remediation targets for small, simple sites where adverse biological effects are likely. Other jurisdictions may benefit from using these recommended applications in their own sediment quality programs.
机译:受污染的沉积物在世界范围内得到越来越多的认可,从而导致了用于评估,管理,修复和恢复工作的各种沉积物质量指标的发展。沉积物化学是生态系统健康的重要指标,潜在关注污染物(COPC)的浓度为该指标提供了可测量的特征。位于苏必利尔湖西侧的圣路易斯河关注区(AOC),提供了一个案例研究,说明如何使用数值沉积物质量目标(SQT)保护沉积物生物,以支持对沉积物生物的解释。沉积物化学数据。在圣路易斯河AOC中为33个COPC建立了两种类型的SQT。 I级SQT定义了不太可能发生沉积物毒性的污染物浓度,而II级SQT表示如果超过此浓度,很可能与沉积物毒性相关的浓度。数值SQT为做出沉积物管理决策提供了有用的工具,尤其是在考虑作为证据权重方法的一部分时,它包括其他沉积物质量指标,例如沉积物污染物化学和地球化学特征,沉积物毒性以及底栖大型无脊椎动物群落结构。在圣路易斯河AOC中使用数字SQT的建议应用包括:设计监测程序,解释沉积物化学数据,进行生态风险评估,以及为那些对生物造成不利影响的小型,简单地点制定针对特定地点的沉积物质量补救目标可能。其他辖区可能会在自己的沉积物质量计划中使用这些推荐的应用程序而受益。

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