Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
Recent research has demonstrated the importance of dermal exposure for some semivolatile organic compounds (SVOCs) present in the gas phase of indoor air. Though models for estimating dermal intake from gaseous SVOCs exist, their predictions can be subject to variations in input parameters, which can lead to large variation in exposure estimations. In this sensitivity analysis for a steady state model, we aimed to assess these variations and their determinants using probabilistic Monte Carlo sampling for 8 SVOCs from different chemical families: phthalates, bisphenols, polycyclic aromatic hydrocarbons (PAHs), organophosphorus (OPs), organochlorines (OCs), synthetic musks, polychlorinated biphenyls (PCBs) and polybromodiphenylethers (PBDEs). Indoor SVOC concentrations were found to be the most influential parameters. Both Henry's law constant (H) and octanol/water partition coefficient (Kow) uncertainty also had significant influence. While exposure media properties such as volume fraction of organic matter in the particle phase (fom-part), particle density (ρpart), concentration ([TSP]) and transport coefficient (ɣd) had a slight influence for some compounds, human parameters such as body weight (W), body surface area (A) and daily exposure (t) make a marginal or null contribution to the variance of dermal intake for a given age group. Inclusion of a parameter sensitivity analysis appears essential to reporting uncertainties in dermal exposure assessment.
ISSN: 0160-4120

hal-01635769
https://hal.archives-ouvertes.fr/hal-01635769
https://hal.archives-ouvertes.fr/hal-01635769/document
https://hal.archives-ouvertes.fr/hal-01635769/file/Pelletier%202017%20Dermal%20expo%20rev2.pdf
DOI : 10.1016/j.envint.2017.02.005

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
Multiple chemicals are emitted in residential accommodation. Aggregate Daily Doses (ADD) (ng/kg-bw/d) were 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 were preferentially retrieved from large, nationwide representative datasets. A two-dimensional probabilistic approach was used to assess parametric uncertainty and identify the most influential factors. For children aged 2 to 3 years, ADD estimates spanned orders of magnitude, with median values ranging from 8.7 pg/kg-bw/d for 2,2′,3,4,4′-pentabromodiphenylether (BDE 85) to 1.3 μg/kg-bw/d for di-isobutyl 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 by 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.
ISSN: 0160-4120

hal-01635777
https://hal.archives-ouvertes.fr/hal-01635777
https://hal.archives-ouvertes.fr/hal-01635777/document
https://hal.archives-ouvertes.fr/hal-01635777/file/Article_Expo_Pelletier_Manuscript%20Env%20Int%20rev2.pdf
DOI : 10.1016/j.envint.2017.08.024

Éditeur(s) : HAL CCSD
Résumé : International audience
The development of transport infrastructures lead to increase the exposure of population to high noise levels. The objective of this work is to define an indicator representative of the health risk induced by noise pollution in urban environment and adapted to the geographical resolution of IRIS. The methodology for the definition of the indicator considers in a first part the health aspect with the health data for the following effects: annoyance, sleep disturbance and cardiovascular diseases. Then, in a second part, methodology considers some effects related to the urban context since the configuration of urban space can change the exposure of population to noise and the perception of noise. The work is achieved with a GIS software and the input acoustical data comes from noise maps calculated for the END. The indicator seems to be relevant and interesting as it brings health information.
InterNoise 2010 Noise and Sustainability
Lisbonne, Portugal

halshs-00664636
https://halshs.archives-ouvertes.fr/halshs-00664636