广州市多污染物联合暴露的健康效应评估  

Health risk assessment of exposure to multiple pollutants in Guangzhou

作　　者：黄琳 刘迪 蔡东杰 陈素娟 董航[3] 林国帧[3] 王伯光 杨军 HUANG Lin;LIU Di;CAI Dong-jie;CHEN Su-juan;DONG Hang;LIN Guo-zhen;WANG Bo-guang;YANG Jun(Institute for Environmental and Climate Research,Jinan University,Guangzhou 511443,China;School of Public Health,Guangzhou Medical University,Guangzhou 511436,China;Guangzhou Center for Disease Control and Prevention,Guangzhou 510440,China)

机构地区：[1]暨南大学环境与气候研究院,广东广州511443 [2]广州医科大学公共卫生学院,广东广州511436 [3]广州市疾病预防控制中心,广东广州510440

出　　处：《中国环境科学》2022年第11期5418-5426,共9页China Environmental Science

基　　金：国家自然科学基金青年基金资助项目(82003552);广东省基础与应用基础研究基金资助项目(2020A1515011161);国家重点研发计划项目(2018YFC0213600)。

摘　　要：本研究应用贝叶斯核机器回归(BKMR)分析了广州市2015~2018年大气主要污染物(SO_(2)、NO_(2)、PM_(10)、PM_(2.5)、CO和O_(3))与非意外死亡之间的联合健康效应.结果表明,6种污染物对健康结局均存在较大影响.随着其它污染物固定百分位数浓度的增加,SO_(2)、O_(3)或NO_(2)的浓度从第25百分位数变化到第75百分位数导致的效应值的绝对值逐渐升高;相反,PM_(2.5)、CO或PM_(10)的浓度从第25百分位数变化到第75百分位数导致的效应值的绝对值逐渐减少.在累积滞后0~1d时,多种空气污染物的混合暴露对非意外死亡人数的影响效应值为正,与最低浓度相较,当所有污染物的浓度增至第90百分位数时,人数非意外死亡人数将增加21.98%(95%CI:3.04%,44.41%).通过应用BKMR模型,本研究证实多种污染物的暴露可对广州市人群公共健康造成联合的综合影响.在污染物的防控治理上,不仅需要针对当地主要空气污染物,还需加强对多污染物暴露的防控.This study attempted to use the Bayesian kernel machine regression(BKMR)to analyze the health effects of multiple air pollutants(i.e,SO_(2)、NO_(2)、PM_(10)、PM_(2.5)、CO and O_(3))on non-accidental mortality in Guangzhou during 2015~2018.We found that all the pollutants presented significant effects on non-accidental mortality.The absolute values of effect estimates associated with the change in SO_(2),O_(3) or NO_(2) concentration from the 25th percentile to the 75th percentile gradually increased with the increment of the fixed percentile of other pollutants;On the contrary,the absolute values of effect estimates decreased gradually when the concentration of PM_(2.5),CO or PM_(10) changes from the 25th percentile to the 75th percentile.The cumulative effect estimates associated with exposure to multiple pollutants on non-accidental mortality at lag 0~1 day was positive.Compared with the lowest concentration,when the concentration of all pollutants increased to the 90th percentile,the number of non-accidental deaths will increase by 21.98%(95%CI:3.04%,44.41%).With the application of BKMR model,this study found that exposure to multiple pollutants could produce a combined impact on public health in Guangzhou.In terms of air pollution prevention and control,it is necessary to not only target the main local air pollutants,but also strengthen the policies on protecting the public from exposure to multi-pollutants.

关 键 词：贝叶斯核机器回归 多污染物暴露 健康风险 

分 类 号：X503.1[环境科学与工程—环境工程]