Abstract
Fine particulate matter (PM2.5) pollution has been estimated to contribute more than 7% to the total global human disease burden from 1990 to 2013
(http://healthdata.org/gbd). Ambient (outdoor) and household indoor PM2.5
exposures are reported to account for 41% and 58% of this impact, respectively,
emphasizing the need to include both, outdoor and indoor exposure into overall
estimates of healt h burdens in life cycle impact assessment. However, lacking
clear guidance on how to consistently include health effects from exposure to
PM2.5 in life cycle perspective, practitioners fail to report related life cycle
impacts. To address this gap, a global initiative has worked on building a coupled indoor-outdoor intake fraction framework combining exposure to PM2.5 emitted indoors and outdoors with exposure to PM2.5 formed indoors and outdoors from chemical reactions. An exposure-response model derived from ambient PM2.5 concentrations is consistently combined with exposures from indoor and outdoor sources. All factors are systematically built into a model parameterized for different archetypal outdoor and indoor settings, such as specific residential and occupational settings and different urban area sizes. Model and parameters are tested in a case study on the production and rocessing of rice in three distinct scenarios covering urban China, rural India and U.S.-Europe. Recommendations are to use this coupled, generic framework whenever emission locations are unknown and to apply spatial models henever emission locations are known. Our study constitutes a first step towards providing guidance on how to include health effects from PM2.5 indoor air exposures in product-oriented impact assessments.
(http://healthdata.org/gbd). Ambient (outdoor) and household indoor PM2.5
exposures are reported to account for 41% and 58% of this impact, respectively,
emphasizing the need to include both, outdoor and indoor exposure into overall
estimates of healt h burdens in life cycle impact assessment. However, lacking
clear guidance on how to consistently include health effects from exposure to
PM2.5 in life cycle perspective, practitioners fail to report related life cycle
impacts. To address this gap, a global initiative has worked on building a coupled indoor-outdoor intake fraction framework combining exposure to PM2.5 emitted indoors and outdoors with exposure to PM2.5 formed indoors and outdoors from chemical reactions. An exposure-response model derived from ambient PM2.5 concentrations is consistently combined with exposures from indoor and outdoor sources. All factors are systematically built into a model parameterized for different archetypal outdoor and indoor settings, such as specific residential and occupational settings and different urban area sizes. Model and parameters are tested in a case study on the production and rocessing of rice in three distinct scenarios covering urban China, rural India and U.S.-Europe. Recommendations are to use this coupled, generic framework whenever emission locations are unknown and to apply spatial models henever emission locations are known. Our study constitutes a first step towards providing guidance on how to include health effects from PM2.5 indoor air exposures in product-oriented impact assessments.
| Original language | English |
|---|---|
| Title of host publication | SETAC Europe 26th Annual Meeting : Environmental contaminants from land to sea: continuities and interface in environmental toxicology and chemistry |
| Publication date | 2016 |
| Publication status | Published - 2016 |
| Event | SETAC Europe 26th Annual Meeting: Environmental contaminants from land to sea: continuities and interface in environmental toxicology and chemistry - La Cite Nantes Congress Center, Nantes, France Duration: 22 May 2016 → 26 May 2016 Conference number: 22 http://nantes.setac.eu/nantes/home//?contentid=851 |
Conference
| Conference | SETAC Europe 26th Annual Meeting |
|---|---|
| Number | 22 |
| Location | La Cite Nantes Congress Center |
| Country/Territory | France |
| City | Nantes |
| Period | 22/05/2016 → 26/05/2016 |
| Internet address |
