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A new method to quantify the health risks from sources of perfluoroalkyl substances, combined with positive matrix factorization and risk assessment models
- Source :
- Environmental Toxicology and Chemistry. 37:107-115
- Publication Year :
- 2017
- Publisher :
- Wiley, 2017.
-
Abstract
- A hybrid model based on Positive Matrix Factorization (PMF) and Health Risk Assessment Model for assessing risks associated with sources of perfluoroalkyl substances (PFASs) in water was for the first time established, and applied at Dianchi Lake to test its applicability. The new method contains two stages: (1) The sources to PFASs were apportioned by PMF model and (2) the contribution of health risks from each source was calculated by the new hybrid model. Two factors were extracted by PMF, with Factor 1 identified as aqueous fire-fighting foams (AFFFs) source, and Factor 2 as fluoropolymer (FP) manufacturing and processing & perfluorooctanoic acid production source. Health risk of PFASs in the water assessed by Health Risk Assessment Model was 9.54 × 10−7 a−1 on average, showing no obvious adverse effects to human health. The two sources' risks estimated by the new hybrid model ranged from 2.95 × 10−10 to 6.60 × 10−6 a−1 and from 1.64 × 10−7 to 1.62 × 10−6 a−1 respectively. The new hybrid model can provide useful information on the health risks of PFASs sources, which is helpful for pollution control and environmental management. This article is protected by copyright. All rights reserved
- Subjects :
- Pollution
010504 meteorology & atmospheric sciences
Health, Toxicology and Mutagenesis
media_common.quotation_subject
010501 environmental sciences
Risk Assessment
01 natural sciences
Two stages
Human health
Environmental health
Humans
Environmental Chemistry
Nonnegative matrix
Health risk
0105 earth and related environmental sciences
media_common
Fluorocarbons
Geography
Health risk assessment
Reproducibility of Results
Water
Models, Theoretical
Regression, Psychology
Lakes
Environmental chemistry
Environmental science
Risk assessment
Hybrid model
Water Pollutants, Chemical
Environmental Monitoring
Subjects
Details
- ISSN :
- 15528618 and 07307268
- Volume :
- 37
- Database :
- OpenAIRE
- Journal :
- Environmental Toxicology and Chemistry
- Accession number :
- edsair.doi.dedup.....9c60c2d2bc9fab96815a55261f95d25e
- Full Text :
- https://doi.org/10.1002/etc.3955