Inhalation cancer risk estimation of source-specific personal exposure for particulate matter–bound polycyclic aromatic hydrocarbons based on positive matrix factorization
In previous studies, inhalation cancer risk was estimated using conventional risk assessment method, which was normally based on compound-specific analysis, and cannot provide substantial data for source-specific particulate matter concentrations and pollution control. In the present study, we appli...
Saved in:
Main Authors: | , , , , , , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/152082 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-152082 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1520822021-07-14T07:53:46Z Inhalation cancer risk estimation of source-specific personal exposure for particulate matter–bound polycyclic aromatic hydrocarbons based on positive matrix factorization Han, Bin You, Yan Liu, Yating Xu, Jia Zhou, Jian Zhang, Jiefeng Niu, Can Zhang, Nan He, Fei Ding, Xiao Bai, Zhipeng School of Civil and Environmental Engineering Energy Research Institute @ NTU (ERI@N) Engineering::Environmental engineering Polycyclic Aromatic Hydrocarbons Lung Cancer Risk Assessment In previous studies, inhalation cancer risk was estimated using conventional risk assessment method, which was normally based on compound-specific analysis, and cannot provide substantial data for source-specific particulate matter concentrations and pollution control. In the present study, we applied an integrated risk analysis method, which was a synthetic combination of source apportionment receptor model and risk assessment method, to estimate cancer risks associated to individual PAHs coming from specific sources. Personal exposure particulate matter samples referring to an elderly panel were collected in a community of Tianjin, Northern China, in 2009, and 12 PAH compounds were measured using GC-MS. Positive matrix factorization (PMF) was used to extract the potential sources and quantify the source contributions to the PAH mixture. Then, the lung cancer risk of each modeled source was estimated by summing up the cancer risks of all measured PAH species according to the extracted source profile. The final results indicated that the overall cancer risk was 1.12 × 10−5, with the largest contribution from gasoline vehicle emission (44.1%). Unlike other risk estimation studies, this study was successful in combining risk analysis and source apportionment approaches, which allow estimating the potential risk of all source types and provided suitable information to select prior control strategies and mitigate the main air pollution sources that contributing to health risks. This study was funded by the "National Basic Research Program of China" (Grant No. 2011CB503801). 2021-07-14T07:53:46Z 2021-07-14T07:53:46Z 2019 Journal Article Han, B., You, Y., Liu, Y., Xu, J., Zhou, J., Zhang, J., Niu, C., Zhang, N., He, F., Ding, X. & Bai, Z. (2019). Inhalation cancer risk estimation of source-specific personal exposure for particulate matter–bound polycyclic aromatic hydrocarbons based on positive matrix factorization. Environmental Science and Pollution Research, 26(10), 10230-10239. https://dx.doi.org/10.1007/s11356-019-04198-y 0944-1344 https://hdl.handle.net/10356/152082 10.1007/s11356-019-04198-y 30756357 2-s2.0-85061576677 10 26 10230 10239 en Environmental Science and Pollution Research © 2019 Springer-Verlag GmbH Germany, part of Springer Nature. All rights reserved. |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Engineering::Environmental engineering Polycyclic Aromatic Hydrocarbons Lung Cancer Risk Assessment |
spellingShingle |
Engineering::Environmental engineering Polycyclic Aromatic Hydrocarbons Lung Cancer Risk Assessment Han, Bin You, Yan Liu, Yating Xu, Jia Zhou, Jian Zhang, Jiefeng Niu, Can Zhang, Nan He, Fei Ding, Xiao Bai, Zhipeng Inhalation cancer risk estimation of source-specific personal exposure for particulate matter–bound polycyclic aromatic hydrocarbons based on positive matrix factorization |
description |
In previous studies, inhalation cancer risk was estimated using conventional risk assessment method, which was normally based on compound-specific analysis, and cannot provide substantial data for source-specific particulate matter concentrations and pollution control. In the present study, we applied an integrated risk analysis method, which was a synthetic combination of source apportionment receptor model and risk assessment method, to estimate cancer risks associated to individual PAHs coming from specific sources. Personal exposure particulate matter samples referring to an elderly panel were collected in a community of Tianjin, Northern China, in 2009, and 12 PAH compounds were measured using GC-MS. Positive matrix factorization (PMF) was used to extract the potential sources and quantify the source contributions to the PAH mixture. Then, the lung cancer risk of each modeled source was estimated by summing up the cancer risks of all measured PAH species according to the extracted source profile. The final results indicated that the overall cancer risk was 1.12 × 10−5, with the largest contribution from gasoline vehicle emission (44.1%). Unlike other risk estimation studies, this study was successful in combining risk analysis and source apportionment approaches, which allow estimating the potential risk of all source types and provided suitable information to select prior control strategies and mitigate the main air pollution sources that contributing to health risks. |
author2 |
School of Civil and Environmental Engineering |
author_facet |
School of Civil and Environmental Engineering Han, Bin You, Yan Liu, Yating Xu, Jia Zhou, Jian Zhang, Jiefeng Niu, Can Zhang, Nan He, Fei Ding, Xiao Bai, Zhipeng |
format |
Article |
author |
Han, Bin You, Yan Liu, Yating Xu, Jia Zhou, Jian Zhang, Jiefeng Niu, Can Zhang, Nan He, Fei Ding, Xiao Bai, Zhipeng |
author_sort |
Han, Bin |
title |
Inhalation cancer risk estimation of source-specific personal exposure for particulate matter–bound polycyclic aromatic hydrocarbons based on positive matrix factorization |
title_short |
Inhalation cancer risk estimation of source-specific personal exposure for particulate matter–bound polycyclic aromatic hydrocarbons based on positive matrix factorization |
title_full |
Inhalation cancer risk estimation of source-specific personal exposure for particulate matter–bound polycyclic aromatic hydrocarbons based on positive matrix factorization |
title_fullStr |
Inhalation cancer risk estimation of source-specific personal exposure for particulate matter–bound polycyclic aromatic hydrocarbons based on positive matrix factorization |
title_full_unstemmed |
Inhalation cancer risk estimation of source-specific personal exposure for particulate matter–bound polycyclic aromatic hydrocarbons based on positive matrix factorization |
title_sort |
inhalation cancer risk estimation of source-specific personal exposure for particulate matter–bound polycyclic aromatic hydrocarbons based on positive matrix factorization |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/152082 |
_version_ |
1707050417584603136 |