Sources and Health Risks of PM2.5-bound PAHs in a Small City along with the “Clean Heating” Policy

Abstract Levels, composition, and sources of PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) vary significantly along with the “Clean Heating” (CH) policy in Beijing-Tianjin-Hebei (BTH) region, whereas the PAH characteristics with CH in small cities still remain unclear. A field observation was...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhiyong Li, Ziyuan Yue, Jixiang Liu, Zhen Zhai, Jianwei Meng, Lei Wang, Jihong Wei, Dingyuan Yang, Ailian Hu, Wenjia Zhu, Ning Ding, Xiaoxia Lu, Chunhao Lin
Format: Article
Language:English
Published: Springer 2022-06-01
Series:Aerosol and Air Quality Research
Subjects:
Online Access:https://doi.org/10.4209/aaqr.220162
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1825197465208356864
author Zhiyong Li
Ziyuan Yue
Jixiang Liu
Zhen Zhai
Jianwei Meng
Lei Wang
Jihong Wei
Dingyuan Yang
Ailian Hu
Wenjia Zhu
Ning Ding
Xiaoxia Lu
Chunhao Lin
author_facet Zhiyong Li
Ziyuan Yue
Jixiang Liu
Zhen Zhai
Jianwei Meng
Lei Wang
Jihong Wei
Dingyuan Yang
Ailian Hu
Wenjia Zhu
Ning Ding
Xiaoxia Lu
Chunhao Lin
author_sort Zhiyong Li
collection DOAJ
description Abstract Levels, composition, and sources of PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) vary significantly along with the “Clean Heating” (CH) policy in Beijing-Tianjin-Hebei (BTH) region, whereas the PAH characteristics with CH in small cities still remain unclear. A field observation was conducted in Baoding City, a small city within the BTH region, in winter of 2019 covering both the pre-heating season (PHS) and the heating season (HS). From the PHS to the HS, the mean concentrations for both PM2.5 and ∑18PAHs increased from 69.1 to 125.0 µg m–3 and from 8.09 to 26.2 ng m–3 due to the heating activities. The far lower PAHs in this study than those of small cities before CH implementation indicated the CH effectiveness. Higher diagnostic ratios (DRs) of FA/(FA + PY), BaA/(BaA + CHR), and IP/(IP + BgP) in the HS were in agreement with the increased coal/biomass usage. Positive matrix factorization (PMF) demonstrated that biomass/natural-gas burning (BNGB) contributed most to PAHs of 36.9% in the HS, the increased natural gas (NG) usage for heating should be responsible for this contribution due to the policies of biomass-burning prohibition and “Coal to Gas”. Coal combustion (CC) shares increased by 152% in the HS despite the “Coal Banning” project. Again, the medium-molecular-weight PAHs (MMW-PAHs) increased most by 400% in the HS, evidencing the increased impacts of fossil-fuel consumptions. As an indicator for carcinogenic risk, BaP increased from 0.937 in the PHS to 1.29 ng m–3 in the HS. Furthermore, the incremental lifetime cancer risks (ILCR) and BaP equivalent concentrations (BaPeq) increased in the HS. The mean ILCR values of 1.15 × 10–6 for adults in the HS exceeded the threshold of 1 × 10–6, while they were lower than 1 × 10–6 for children in both the PHS and the HS, and adults in the PHS due to the CH positive effects.
format Article
id doaj-art-e16b3bf259fc457a88a37743deeb737b
institution Kabale University
issn 1680-8584
2071-1409
language English
publishDate 2022-06-01
publisher Springer
record_format Article
series Aerosol and Air Quality Research
spelling doaj-art-e16b3bf259fc457a88a37743deeb737b2025-02-09T12:17:38ZengSpringerAerosol and Air Quality Research1680-85842071-14092022-06-0122711310.4209/aaqr.220162Sources and Health Risks of PM2.5-bound PAHs in a Small City along with the “Clean Heating” PolicyZhiyong Li0Ziyuan Yue1Jixiang Liu2Zhen Zhai3Jianwei Meng4Lei Wang5Jihong Wei6Dingyuan Yang7Ailian Hu8Wenjia Zhu9Ning Ding10Xiaoxia Lu11Chunhao Lin12Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control, Department of Environmental Science and Engineering, North China Electric Power UniversityHebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control, Department of Environmental Science and Engineering, North China Electric Power UniversityHebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control, Department of Environmental Science and Engineering, North China Electric Power UniversityHebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control, Department of Environmental Science and Engineering, North China Electric Power UniversityHebei Research Center for GeoanalysisHebei Research Center for GeoanalysisDepartment of Pediatrics, Affiliated Hospital of Hebei UniversityHebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control, Department of Environmental Science and Engineering, North China Electric Power UniversityHebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control, Department of Environmental Science and Engineering, North China Electric Power UniversityHebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control, Department of Environmental Science and Engineering, North China Electric Power UniversityHebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control, Department of Environmental Science and Engineering, North China Electric Power UniversityHebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control, Department of Environmental Science and Engineering, North China Electric Power UniversityHebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control, Department of Environmental Science and Engineering, North China Electric Power UniversityAbstract Levels, composition, and sources of PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) vary significantly along with the “Clean Heating” (CH) policy in Beijing-Tianjin-Hebei (BTH) region, whereas the PAH characteristics with CH in small cities still remain unclear. A field observation was conducted in Baoding City, a small city within the BTH region, in winter of 2019 covering both the pre-heating season (PHS) and the heating season (HS). From the PHS to the HS, the mean concentrations for both PM2.5 and ∑18PAHs increased from 69.1 to 125.0 µg m–3 and from 8.09 to 26.2 ng m–3 due to the heating activities. The far lower PAHs in this study than those of small cities before CH implementation indicated the CH effectiveness. Higher diagnostic ratios (DRs) of FA/(FA + PY), BaA/(BaA + CHR), and IP/(IP + BgP) in the HS were in agreement with the increased coal/biomass usage. Positive matrix factorization (PMF) demonstrated that biomass/natural-gas burning (BNGB) contributed most to PAHs of 36.9% in the HS, the increased natural gas (NG) usage for heating should be responsible for this contribution due to the policies of biomass-burning prohibition and “Coal to Gas”. Coal combustion (CC) shares increased by 152% in the HS despite the “Coal Banning” project. Again, the medium-molecular-weight PAHs (MMW-PAHs) increased most by 400% in the HS, evidencing the increased impacts of fossil-fuel consumptions. As an indicator for carcinogenic risk, BaP increased from 0.937 in the PHS to 1.29 ng m–3 in the HS. Furthermore, the incremental lifetime cancer risks (ILCR) and BaP equivalent concentrations (BaPeq) increased in the HS. The mean ILCR values of 1.15 × 10–6 for adults in the HS exceeded the threshold of 1 × 10–6, while they were lower than 1 × 10–6 for children in both the PHS and the HS, and adults in the PHS due to the CH positive effects.https://doi.org/10.4209/aaqr.220162PM2.5PAHsSource apportionmentClean heatingHealth risk assessment
spellingShingle Zhiyong Li
Ziyuan Yue
Jixiang Liu
Zhen Zhai
Jianwei Meng
Lei Wang
Jihong Wei
Dingyuan Yang
Ailian Hu
Wenjia Zhu
Ning Ding
Xiaoxia Lu
Chunhao Lin
Sources and Health Risks of PM2.5-bound PAHs in a Small City along with the “Clean Heating” Policy
Aerosol and Air Quality Research
PM2.5
PAHs
Source apportionment
Clean heating
Health risk assessment
title Sources and Health Risks of PM2.5-bound PAHs in a Small City along with the “Clean Heating” Policy
title_full Sources and Health Risks of PM2.5-bound PAHs in a Small City along with the “Clean Heating” Policy
title_fullStr Sources and Health Risks of PM2.5-bound PAHs in a Small City along with the “Clean Heating” Policy
title_full_unstemmed Sources and Health Risks of PM2.5-bound PAHs in a Small City along with the “Clean Heating” Policy
title_short Sources and Health Risks of PM2.5-bound PAHs in a Small City along with the “Clean Heating” Policy
title_sort sources and health risks of pm2 5 bound pahs in a small city along with the clean heating policy
topic PM2.5
PAHs
Source apportionment
Clean heating
Health risk assessment
url https://doi.org/10.4209/aaqr.220162
work_keys_str_mv AT zhiyongli sourcesandhealthrisksofpm25boundpahsinasmallcityalongwiththecleanheatingpolicy
AT ziyuanyue sourcesandhealthrisksofpm25boundpahsinasmallcityalongwiththecleanheatingpolicy
AT jixiangliu sourcesandhealthrisksofpm25boundpahsinasmallcityalongwiththecleanheatingpolicy
AT zhenzhai sourcesandhealthrisksofpm25boundpahsinasmallcityalongwiththecleanheatingpolicy
AT jianweimeng sourcesandhealthrisksofpm25boundpahsinasmallcityalongwiththecleanheatingpolicy
AT leiwang sourcesandhealthrisksofpm25boundpahsinasmallcityalongwiththecleanheatingpolicy
AT jihongwei sourcesandhealthrisksofpm25boundpahsinasmallcityalongwiththecleanheatingpolicy
AT dingyuanyang sourcesandhealthrisksofpm25boundpahsinasmallcityalongwiththecleanheatingpolicy
AT ailianhu sourcesandhealthrisksofpm25boundpahsinasmallcityalongwiththecleanheatingpolicy
AT wenjiazhu sourcesandhealthrisksofpm25boundpahsinasmallcityalongwiththecleanheatingpolicy
AT ningding sourcesandhealthrisksofpm25boundpahsinasmallcityalongwiththecleanheatingpolicy
AT xiaoxialu sourcesandhealthrisksofpm25boundpahsinasmallcityalongwiththecleanheatingpolicy
AT chunhaolin sourcesandhealthrisksofpm25boundpahsinasmallcityalongwiththecleanheatingpolicy