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Coupling Toxicokinetic–Toxicodynamic and Population Models for Assessing Aquatic Ecological Risks to Time-Varying Pesticide Exposures

机译:评估随时间变化的农药暴露的水生生态风险的毒物动力学-毒物动力学和种群模型

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Population modeling evaluations of pesticide exposure time series were compared with aspects of a currently used risk assessment process. The US Environmental Protection Agency's Office of Pesticide Programs models daily aquatic 30-yr pesticide exposure distributions in its risk assessments, but does not routinely make full use of the information in such time series. We used mysid shrimp Americamysis bahia toxicity and demographic data to demonstrate the value of a toxicokinetic-toxicodynamic model coupled with a series of matrix population models in risk assessment refinements. This species is a small epibenthic marine crustacean routinely used in regulatory toxicity tests. We demonstrate how the model coupling can refine current risk assessments using only existing standard regulatory toxicity test results. Several exposure scenarios (each with the same initial risk characterization as determined by a more traditional organism-based approach) were created within which population modeling documented risks different from those of assessments based on the traditional approach. We also present different acute and chronic toxicity data scenarios by which toxicokinetic-toxicodynamic coupled with population modeling can distinguish responses that traditional risk evaluations are not designed to detect. Our results reinforce the benefits of this type of modeling in risk evaluations, especially related to time-varying exposure concentrations. Environ Toxicol Chem 2018;37:2633-2644. Published 2018 Wiley Periodicals Inc. on behalf of SETAC. This article is a US government work and, as such, is in the public domain in the United States of America.
机译:将农药暴露时间序列的种群模型评估与当前使用的风险评估流程的各个方面进行了比较。美国环境保护局的农药计划办公室在其风险评估中模拟了每天30年水生农药的暴露分布,但没有常规地充分利用该时间序列中的信息。我们使用Mysid虾Americamysis巴伊亚州毒性和人口统计学数据来证明毒物动力学-毒物动力学模型以及一系列矩阵种群模型在风险评估中的价值。该物种是常规用于监管毒性试验的小型表皮海生甲壳动物。我们演示了模型耦合如何仅使用现有的标准法规毒性测试结果来完善当前的风险评估。创建了多个暴露场景(每个暴露场景具有通过更传统的基于生物体的方法确定的初始风险特征),在这些场景中,人口模型记录的风险与基于传统方法的评估风险不同。我们还提出了不同的急性和慢性毒性数据方案,通过它们,毒物动力学-毒物动力学与人口模型相结合可以区分传统风险评估无法检测到的反应。我们的结果加强了这种类型的建模在风险评估中的优势,尤其是与时变的暴露浓度有关。 Environ Toxicol Chem 2018; 37:2633-2644。代表SETAC发布了2018年Wiley Periodicals Inc ..本文是美国政府的工作,因此,它属于美国的公共领域。

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