4.8 Article

Indoor residential exposure to semivolatile organic compounds in France

期刊

ENVIRONMENT INTERNATIONAL
卷 109, 期 -, 页码 81-88

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.envint.2017.08.024

关键词

Aggregate exposure; Cumulative exposure; Chemicals; Monte Carlo simulation; Indoor air quality; Dermal exposure

资金

  1. Agence de lapos
  2. Environnement et de la Maitrise de lapos
  3. energie [TEZ14-36]
  4. Fondation de France [2014-00053331]

向作者/读者索取更多资源

Multiple chemicals are emitted in residential accommodation. Aggregate Daily Doses (ADD) (ng/kg-bw/d) w ere estimated for 32 semivolatile organic compounds (SVOCs) of different chemical families that are frequently detected in French dwellings in both air and settled dust. Daily doses were determined using steady-state models for the population, categorized into 11 age groups covering birth to age 30. Three routes of exposure were taken into account: dust ingestion, inhalation (gaseous and particulate phases) and dermal contact with the gaseous phase of air. Contamination levels w ere preferentially retrieved from large, nationwide representative datasets. A two-dimensional probabilistic approach was used to assess parametric uncertainty and identify the most in fluential factors. For children aged 2 to 3 years, ADD estimates spanned orders o f magnitude, with median values ranging from 8.7 pg/kg-bw/d for 2,2',3,4,4'-pentabromodiphenylether (BDE 85) to 1.3 V mu g/kg-bw/d for di-iso-butyl phthalate (DiBP). Inhalation, ingestion and dermal pathway contributed at varying levels, and depending on compound, air was the dominant medium for 28 of the 32 compounds (either b y inhalation or dermal contact). Indoor exposure estimate variance was mainly driven by indoor contamination variability, and secondarily by uncertainty in physical and chemical parameters. These findings lend support to the call for cumulative risk assessment of indoor SVOCs.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据