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基于持久性、生物累积性和毒性特征对化学品进行排序:以选定的持久性有机污染物为例比较不同排序方法。

On the ranking of chemicals based on their PBT characteristics: comparison of different ranking methodologies using selected POPs as an illustrative example.

机构信息

Center of Physical Chemical Methods of Research and Analysis, Al-Farabi Kazakh National University, 050012 Almaty, Kazakhstan.

出版信息

Chemosphere. 2013 Jan;90(1):112-7. doi: 10.1016/j.chemosphere.2012.08.015. Epub 2012 Sep 3.

DOI:10.1016/j.chemosphere.2012.08.015
PMID:22955049
Abstract

Knowledge of the environmental behavior of chemicals is a fundamental part of the risk assessment process. The present paper discusses various methods of ranking of a series of persistent organic pollutants (POPs) according to the persistence, bioaccumulation and toxicity (PBT) characteristics. Traditionally ranking has been done as an absolute (total) ranking applying various multicriteria data analysis methods like simple additive ranking (SAR) or various utility functions (UFs) based rankings. An attractive alternative to these ranking methodologies appears to be partial order ranking (POR). The present paper compares different ranking methods like SAR, UF and POR. Significant discrepancies between the rankings are noted and it is concluded that partial order ranking, as a method without any pre-assumptions concerning possible relation between the single parameters, appears as the most attractive ranking methodology. In addition to the initial ranking partial order methodology offers a wide variety of analytical tools to elucidate the interplay between the objects to be ranked and the ranking parameters. In the present study is included an analysis of the relative importance of the single P, B and T parameters.

摘要

化学品的环境行为知识是风险评估过程的一个基本组成部分。本文讨论了根据持久性、生物累积性和毒性(PBT)特征对一系列持久性有机污染物(POPs)进行排序的各种方法。传统上,排序是作为一种绝对(总)排序来进行的,采用了各种多标准数据分析方法,如简单加和排序(SAR)或基于各种效用函数(UF)的排序。对于这些排序方法,一种有吸引力的替代方法是偏序排序(POR)。本文比较了 SAR、UF 和 POR 等不同的排序方法。注意到排序之间存在显著差异,并得出结论,偏序排序作为一种不预先假定单个参数之间可能存在关系的方法,似乎是最有吸引力的排序方法。除了初始排序,偏序方法还提供了广泛的分析工具来阐明要排序的对象和排序参数之间的相互作用。在本研究中,包括了对单个 P、B 和 T 参数的相对重要性的分析。

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