Microscale spatial distribution and health assessment of PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) at nine communities in Xi'an, China
Microscale spatial distribution and health assessment of PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) at nine communities in Xi'an, China
复制标题
中国西安九个社区PM2.5结合多环芳烃(PAHs)的微尺度空间分布及健康评估
DOI:
10.1016/j.envpol.2016.08.058
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发表时间:
2016
影响因子:
8.9
通讯作者:
Qian Zhang
中科院分区:
文献类型:
--
作者:
Hongmei Xu;Steven Sai Hang Ho;Meiling Gao;Junji Cao;Benjamin Guinot;Kin Fai Ho;Xin Long;Jingzhi Wang;Zhenxing Shen;Suixin Liu;Chunli Zheng;Qian Zhang
Spatial variability of polycyclic aromatic hydrocarbons (PAHs) associated with fine particulate matter (PM2.5) was investigated in Xi'an, China, in summer of 2013. Sixteen priority PAHs were quantified in 24-h integrated air samples collected simultaneously at nine urban and suburban communities. The total quantified PAHs mass concentrations ranged from 32.4 to 104.7 ng m−3, with an average value of 57.1 ± 23.0 ng m−3. PAHs were observed higher concentrations at suburban communities (average: 86.3 ng m−3) than at urban ones (average: 48.8 ng m−3) due to a better enforcement of the pollution control policies at the urban scale, and meanwhile the disorganized management of motor vehicles and massive building constructions in the suburbs. Elevated PAH levels were observed in the industrialized regions (west and northwest of Xi'an) from Kriging interpolation analysis. Satellite-based visual interpretations of land use were also applied for the supporting the spatial distribution of PAHs among the communities. The average benzo[a]pyrene-equivalent toxicity (Σ[BaP]eq) at the nine communities was 6.9 ± 2.2 ng m−3during the sampling period, showing a generally similar spatial distribution to PAHs levels. On average, the excess inhalation lifetime cancer risk derived from Σ[BaP]eqindicated that eight persons per million of community residents would develop cancer due to PM2.5-bound PAHs exposure in Xi'an. The great in-city spatial variability of PAHs confirmed the importance of multiple points sampling to conduct exposure health risk assessment.