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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
Author(s) -
Xu Jiao,
Shi Guoliang,
Guo ChangSheng,
Wang HaiTing,
Tian YingZe,
Huangfu YanQi,
Zhang Yuan,
Feng YinChang,
Xu Jian
Publication year - 2018
Publication title -
environmental toxicology and chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 171
eISSN - 1552-8618
pISSN - 0730-7268
DOI - 10.1002/etc.3955
Subject(s) - perfluorooctanoic acid , environmental science , health risk assessment , human health , health risk , risk assessment , environmental health , matrix (chemical analysis) , pollution , environmental chemistry , aqueous medium , risk analysis (engineering) , environmental engineering , chemistry , computer science , aqueous solution , medicine , biology , ecology , chromatography , computer security
A hybrid model based on the positive matrix factorization (PMF) model and the health risk assessment model for assessing risks associated with sources of perfluoroalkyl substances (PFASs) in water was established and applied at Dianchi Lake to test its applicability. The new method contains 2 stages: 1) the sources of PFASs were apportioned by the 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 source and factor 2 as fluoropolymer manufacturing and processing and perfluorooctanoic acid production source. The health risk of PFASs in the water assessed by the health risk assessment model was 9.54 × 10 −7 a −1 on average, showing no obvious adverse effects to human health. The 2 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 PFAS sources, which is helpful for pollution control and environmental management. Environ Toxicol Chem 2018;37:107–115. © 2017 SETAC