将动态人口活动纳入城市空气污染暴露建模:来自三个欧洲城市COVID-19封锁的见解

IF 2.9 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Martin Otto Paul Ramacher
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引用次数: 0

摘要

2020年的COVID-19大流行导致全球采取了封锁措施,极大地改变了人口活动模式,并为研究其对空气质量的影响提供了前所未有的环境。以往的研究主要关注污染物浓度的变化,往往忽略了人口活动变化对暴露估计的影响。本研究旨在评估2020年3月和4月第一次封城期间,欧洲三个城市时间活动模式变化对人口暴露于NO2、O3和PM2.5的影响。采用综合混合暴露模型,将城市尺度的空气污染物扩散数据与昼夜人口活动相结合,考虑了封城措施导致的浓度和人口活动变化。对德国汉堡、比利时里昂热和法国马赛的人口加权暴露和总时间积分暴露水平进行了评估。封锁措施显著降低了二氧化氮和PM2.5浓度,同时增加了二氧化氮浓度。根据人口活动变化进行调整后,NO2的小时人口加权暴露量减少了6%,O3和PM2.5的小时人口加权暴露量减少了7%,而NO2(最多3%)、O3(最多8%)和PM2.5(最多7%)的总时间综合暴露量也减少了。这些研究结果突出了纳入动态人口活动数据以进行更准确的接触和健康影响评估的重要性,特别是在城市地区。该研究强调,在住宅地址估计的暴露可能低估了暴露和相关的健康影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Incorporating dynamic population activities in modeling exposure to urban air pollution: insights from COVID-19 lockdowns in three European cities

The COVID-19 pandemic in 2020 led to global lockdown measures, significantly changing population activity patterns and providing an unprecedented situation to study their effects on air quality. Previous studies primarily focused on pollutant concentration changes, often neglecting the influence of modified population activities on exposure estimates. This study aims to evaluate the impact of changes in time-activity patterns on population exposures to NO2, O3, and PM2.5 in three urban European areas during the first lockdowns in March and April of 2020. A comprehensive hybrid exposure model was used, integrating urban-scale air pollutant dispersion data with diurnal population activity, accounting for both concentration and population activity changes due to lockdown measures. Population-weighted exposures and total time-integrated exposure levels were assessed for Hamburg, Germany, Liège, Belgium, and Marseille, France. The lockdown measures led to significant reductions in NO2 and PM2.5 concentrations while increasing O3 concentrations. Adjusting for population activity changes showed additional hourly population weighted exposure reductions for NO2 by up to 6% and for O3 and PM2.5 by up to 7%, while total time-integrated exposure was additionally reduced for NO2 (up to 3%), O3 (up to 8%) and PM2.5 (up to 7%). These findings highlight the importance of incorporating dynamic population activity data for more accurate exposure and health impact assessments, especially in urban areas. The study highlights that exposure estimated at residential addresses likely underestimate exposure and related health effects.

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来源期刊
Air Quality Atmosphere and Health
Air Quality Atmosphere and Health ENVIRONMENTAL SCIENCES-
CiteScore
8.80
自引率
2.00%
发文量
146
审稿时长
>12 weeks
期刊介绍: Air Quality, Atmosphere, and Health is a multidisciplinary journal which, by its very name, illustrates the broad range of work it publishes and which focuses on atmospheric consequences of human activities and their implications for human and ecological health. It offers research papers, critical literature reviews and commentaries, as well as special issues devoted to topical subjects or themes. International in scope, the journal presents papers that inform and stimulate a global readership, as the topic addressed are global in their import. Consequently, we do not encourage submission of papers involving local data that relate to local problems. Unless they demonstrate wide applicability, these are better submitted to national or regional journals. Air Quality, Atmosphere & Health addresses such topics as acid precipitation; airborne particulate matter; air quality monitoring and management; exposure assessment; risk assessment; indoor air quality; atmospheric chemistry; atmospheric modeling and prediction; air pollution climatology; climate change and air quality; air pollution measurement; atmospheric impact assessment; forest-fire emissions; atmospheric science; greenhouse gases; health and ecological effects; clean air technology; regional and global change and satellite measurements. This journal benefits a diverse audience of researchers, public health officials and policy makers addressing problems that call for solutions based in evidence from atmospheric and exposure assessment scientists, epidemiologists, and risk assessors. Publication in the journal affords the opportunity to reach beyond defined disciplinary niches to this broader readership.
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