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使用贝叶斯网络-相对风险模型对汞污染的南河和谢南多厄河上游进行多应激源生态风险评估。

The multiple stressor ecological risk assessment for the mercury-contaminated South River and upper Shenandoah River using the Bayesian network-relative risk model.

作者信息

Landis Wayne G, Ayre Kimberley K, Johns Annie F, Summers Heather M, Stinson Jonah, Harris Meagan J, Herring Carlie E, Markiewicz April J

机构信息

Institute of Environmental Toxicology, Huxley College of the Environment, Western Washington University, Bellingham, Washington, USA.

出版信息

Integr Environ Assess Manag. 2017 Jan;13(1):85-99. doi: 10.1002/ieam.1758. Epub 2016 Jun 21.

DOI:10.1002/ieam.1758
PMID:26799543
Abstract

We have conducted a regional scale risk assessment using the Bayesian Network Relative Risk Model (BN-RRM) to calculate the ecological risks to the South River and upper Shenandoah River study area. Four biological endpoints (smallmouth bass, white sucker, Belted Kingfisher, and Carolina Wren) and 4 abiotic endpoints (Fishing River Use, Swimming River Use, Boating River Use, and Water Quality Standards) were included in this risk assessment, based on stakeholder input. Although mercury (Hg) contamination was the original impetus for the site being remediated, other chemical and physical stressors were evaluated. There were 3 primary conclusions from the BN-RRM results. First, risk varies according to location, type and quality of habitat, and exposure to stressors within the landscape. The patterns of risk can be evaluated with reasonable certitude. Second, overall risk to abiotic endpoints was greater than overall risk to biotic endpoints. By including both biotic and abiotic endpoints, we are able to compare risk to endpoints that represent a wide range of stakeholder values. Third, whereas Hg reduction is the regulatory priority for the South River, Hg is not the only stressor driving risk to the endpoints. Ecological and habitat stressors contribute risk to the endpoints and should be considered when managing this site. This research provides the foundation for evaluating the risks of multiple stressors of the South River to a variety of endpoints. From this foundation, tools for the evaluation of management options and an adaptive management tools have been forged. Integr Environ Assess Manag 2017;13:85-99. © 2016 SETAC.

摘要

我们使用贝叶斯网络相对风险模型(BN-RRM)进行了区域尺度的风险评估,以计算对南河和谢南多厄河上游研究区域的生态风险。根据利益相关者的意见,本次风险评估纳入了四个生物终点(小口黑鲈、白亚口鱼、带斑翠鸟和卡罗来纳鹪鹩)和四个非生物终点(河流用于捕鱼、河流用于游泳、河流用于划船和水质标准)。尽管汞(Hg)污染是该场地进行修复的最初动因,但也对其他化学和物理压力源进行了评估。BN-RRM结果得出了3个主要结论。第一,风险因栖息地的位置、类型和质量以及景观中压力源的暴露情况而异。风险模式可以得到合理确定的评估。第二,非生物终点的总体风险大于生物终点的总体风险。通过纳入生物和非生物终点,我们能够比较代表广泛利益相关者价值观的终点的风险。第三,虽然汞减排是南河的监管重点,但汞并非驱动终点风险的唯一压力源。生态和栖息地压力源对终点构成风险,在管理该场地时应予以考虑。本研究为评估南河多种压力源对各种终点的风险提供了基础。基于这一基础,已经形成了管理选项评估工具和适应性管理工具。《综合环境评估与管理》2017年;13:85 - 99。© 2016 SETAC。

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