Health risk assessment of atmospheric fine particulate matter in China

IF 3.7 2区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Ziyue Wan, Yuxia Ma, Fengliu Feng, Zongrui Liu, Yuhan Zhao, Yufen Xia
{"title":"Health risk assessment of atmospheric fine particulate matter in China","authors":"Ziyue Wan,&nbsp;Yuxia Ma,&nbsp;Fengliu Feng,&nbsp;Zongrui Liu,&nbsp;Yuhan Zhao,&nbsp;Yufen Xia","doi":"10.1016/j.atmosenv.2025.121550","DOIUrl":null,"url":null,"abstract":"<div><div>Atmospheric particulate matter (PM), recognized as a key constituent of airborne pollutants, is directly or indirectly related to public health. The impact of PM<sub>2.5</sub> on health is particularly serious and has received increasing attention. In this study, using the epidemiology-based health risk assessment model, we investigated the spatial-temporal characteristics of PM<sub>2.5</sub> concentrations and the health burden attributable to short-term PM<sub>2.5</sub> exposure across the country from 2017 to 2023 based on the ChinaHighPM<sub>2.5</sub> dataset, the national high-resolution population distribution data and population mortality data. The results revealed a marked downward trajectory in PM<sub>2.5</sub> levels in China between 2017 and 2023, with concentrations peaking during winter months and reaching annual minima in summer seasons. The population proportion with annual mean PM<sub>2.5</sub> exposure concentrations below 15 μg/m<sup>3</sup> demonstrated a significant increase from 0.06 % to 2.03 %, while the proportion exceeding 35 μg/m<sup>3</sup> exhibited a significant reduction from 67.54 % to 33.30 %. The highest nationwide excess risk (ER) decreased from 4.60 % to 2.99 %, and the mean values of ER in different regions decreased by 0.19 % (North China), 0.27 % (Central China), 0.63 % (East China), 0.67 % (South China), 0.32 % (Northeast China), 0.18 % (Northwest China) and 0.67 % (Southwest China), respectively. The total number of PM<sub>2.5</sub>-associated excess deaths declined about 27.98 %, from 94,884 (95 % confidence interval [CI]: 46,417, 142,708) to 68,340 (95 % CI: 33,179, 103,376), with the highest excess deaths in East China.</div></div>","PeriodicalId":250,"journal":{"name":"Atmospheric Environment","volume":"362 ","pages":"Article 121550"},"PeriodicalIF":3.7000,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Environment","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1352231025005254","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Atmospheric particulate matter (PM), recognized as a key constituent of airborne pollutants, is directly or indirectly related to public health. The impact of PM2.5 on health is particularly serious and has received increasing attention. In this study, using the epidemiology-based health risk assessment model, we investigated the spatial-temporal characteristics of PM2.5 concentrations and the health burden attributable to short-term PM2.5 exposure across the country from 2017 to 2023 based on the ChinaHighPM2.5 dataset, the national high-resolution population distribution data and population mortality data. The results revealed a marked downward trajectory in PM2.5 levels in China between 2017 and 2023, with concentrations peaking during winter months and reaching annual minima in summer seasons. The population proportion with annual mean PM2.5 exposure concentrations below 15 μg/m3 demonstrated a significant increase from 0.06 % to 2.03 %, while the proportion exceeding 35 μg/m3 exhibited a significant reduction from 67.54 % to 33.30 %. The highest nationwide excess risk (ER) decreased from 4.60 % to 2.99 %, and the mean values of ER in different regions decreased by 0.19 % (North China), 0.27 % (Central China), 0.63 % (East China), 0.67 % (South China), 0.32 % (Northeast China), 0.18 % (Northwest China) and 0.67 % (Southwest China), respectively. The total number of PM2.5-associated excess deaths declined about 27.98 %, from 94,884 (95 % confidence interval [CI]: 46,417, 142,708) to 68,340 (95 % CI: 33,179, 103,376), with the highest excess deaths in East China.
中国大气细颗粒物健康风险评价
大气颗粒物(PM)被认为是空气中污染物的重要组成部分,与公众健康直接或间接相关。PM2.5对健康的影响尤为严重,已受到越来越多的关注。本研究基于中国高PM2.5数据集、全国高分辨率人口分布数据和人口死亡率数据,采用基于流行病学的健康风险评估模型,研究了2017 - 2023年全国PM2.5浓度的时空特征和PM2.5短期暴露导致的健康负担。结果显示,2017年至2023年间,中国PM2.5水平呈明显下降趋势,浓度在冬季达到峰值,在夏季达到全年最低水平。PM2.5年均暴露浓度低于15 μg/m3的人口比例从0.06%显著增加到2.03%,高于35 μg/m3的人口比例从67.54%显著降低到33.30%。全国最高超额危险度(ER)由4.60%降至2.99%,不同区域的平均值分别下降了0.19%(华北)、0.27%(华中)、0.63%(华东)、0.67%(华南)、0.32%(东北)、0.18%(西北)和0.67%(西南)。pm2.5相关的超额死亡总数下降了约27.98%,从94,884例(95%可信区间[CI]: 46,417, 142,708)降至68,340例(95%可信区间[CI]: 33,179, 103,376),其中华东地区的超额死亡人数最多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Atmospheric Environment
Atmospheric Environment 环境科学-环境科学
CiteScore
9.40
自引率
8.00%
发文量
458
审稿时长
53 days
期刊介绍: Atmospheric Environment has an open access mirror journal Atmospheric Environment: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review. Atmospheric Environment is the international journal for scientists in different disciplines related to atmospheric composition and its impacts. The journal publishes scientific articles with atmospheric relevance of emissions and depositions of gaseous and particulate compounds, chemical processes and physical effects in the atmosphere, as well as impacts of the changing atmospheric composition on human health, air quality, climate change, and ecosystems.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信