...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Environmental toxicology and chemistry >CRITICAL ISSUES IN USING THE COMMON MIXTURE TOXICITY MODELS CONCENTRATION ADDITION OR RESPONSE ADDITION ON SPECIES SENSITIVITY DISTRIBUTIONS: A THEORETICAL APPROACH
【24h】

CRITICAL ISSUES IN USING THE COMMON MIXTURE TOXICITY MODELS CONCENTRATION ADDITION OR RESPONSE ADDITION ON SPECIES SENSITIVITY DISTRIBUTIONS: A THEORETICAL APPROACH

机译：在物种敏感度分布上使用常见的混合毒性模型浓度相加或响应相加的关键问题：一种理论方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The risk of chemical mixtures to ecosystems is often assessed by applying the model of concentration addition or response addition combined with species sensitivity distribution (SSD) curves. Mixture effect predictions have been shown to be consistent only when these models are applied for a single species, however, and not with several species simultaneously aggregated to SSDs. The more stringent procedure for mixture risk assessment would hence be to apply first the concentration addition or response addition models to each species separately and, in a second step, to combine the results to construct an SSD for a mixture. Unfortunately, this methodology is not applicable in most cases because the large data sets it requires are usually unavailable. Based on theoretical data sets generated, the authors aimed to characterize the difference that can exist between these 2 methodologies. Results show that the use of concentration addition on SSD directly may lead to underestimations of the mixture concentration affecting 5% or 50% of species, especially when substances present a large standard deviation in ecotoxicity data constructing their SSD. The application of response addition can lead to over- or underestimations, depending mainly on the slope of the dose-response curves of the individual species. When assessing the risk of mixtures, one must therefore keep in mind this source of error when applying concentration addition or response addition to SSDs directly.
机译：通常通过应用浓度增加或响应增加模型结合物种敏感度分布（SSD）曲线来评估化学混合物对生态系统的风险。仅在将这些模型应用于单个物种时才显示出混合效果预测是一致的，但是对于同时聚合到SSD的多个物种而言，混合效果预测是一致的。因此，用于混合物风险评估的更严格的程序是，首先将浓度添加或响应添加模型分别应用于每个物种，然后在第二步骤中，将结果合并以构建用于混合物的SSD。不幸的是，这种方法不适用于大多数情况，因为通常所需的大数据集不可用。基于生成的理论数据集，作者旨在表征这两种方法之间可能存在的差异。结果表明，在SSD上直接使用浓度添加可能会低估混合物浓度，从而影响5％或50％的物种，尤其是当物质在构建SSD的生态毒性数据中存在较大标准偏差时尤其如此。响应加法的应用可能导致高估或低估，这主要取决于各个物种的剂量-响应曲线的斜率。因此，在评估混合物的风险时，在将浓度添加或响应添加直接应用于SSD时，必须牢记这一错误来源。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号