Department of Atmospheric Sciences, University of Utah, 135 S 1460 E, Room 819, Salt Lake City, UT 84112, USA; Department of City & Metropolitan Planning, University of Utah, 375 S 1530 E, Suite 220, Salt Lake City, UT 84112, USA; University of Utah School of Medicine, Pulmonary Division, 26 N 1900 E, Salt Lake City, UT 84132, USA.
Department of Political Science and Environmental Studies Program, University of Utah, 260 S Central Campus Drive, Salt Lake City, UT 84112, USA.
Environ Res. 2021 Oct;201:111471. doi: 10.1016/j.envres.2021.111471. Epub 2021 Jun 5.
Urban air quality is a growing concern due a range of social, economic, and health impacts. Since the SARS-CoV-19 pandemic began in 2020, governments have produced a range of non-medical interventions (NMIs) (e.g. lockdowns, stay-at-home orders, mask mandates) to prevent the spread of COVID-19. A co-benefit of NMI implementation has been the measurable improvement in air quality in cities around the world. Using the lockdown policy of the COVID-19 pandemic as a natural experiment, we traced the changing emissions patterns produced under the pandemic in a mid-sized, high-altitude city to isolate the effects of human behavior on air pollution. We tracked air pollution over time periods reflecting the Pre-Lockdown, Lockdown, and Reopening stages, using high quality, research grade sensors in both commercial and residential areas to better understand how each setting may be uniquely impacted by pollution downturn events. Based on this approach, we found the commercial area of the city showed a greater decrease in air pollution than residential areas during the lockdown period, while both areas experienced a similar rebound post lockdown. The easing period following the lockdown did not lead to an immediate rebound in human activity and the air pollution increase associated with reopening, took place nearly two months after the lockdown period ended. We hypothesize that differences in heating needs, travel demands, and commercial activity, are responsible for the corresponding observed changes in the spatial distribution of pollutants over the study period. This research has implications for climate policy, low-carbon energy transitions, and may even impact local policy due to changing patterns in human exposure that could lead to important public health outcomes, if left unaddressed.
由于社会、经济和健康等多方面的影响,城市空气质量日益受到关注。自 2020 年 SARS-CoV-1 型肺炎疫情爆发以来,各国政府采取了一系列非医疗干预措施(如封锁、居家令、强制戴口罩)来防止 COVID-19 的传播。非医疗干预措施的实施带来了一个附带好处,即全球城市的空气质量得到了显著改善。我们以 COVID-19 疫情期间的封锁政策为自然实验,追踪了大流行期间中高海拔城市中不断变化的排放模式,以隔离人类行为对空气污染的影响。我们通过在预封锁、封锁和重新开放三个时间段内使用高质量、研究级别的传感器,在商业和居民区进行追踪,以更好地了解每个环境可能会如何受到污染下降事件的独特影响。根据这一方法,我们发现城市商业区在封锁期间的空气污染下降幅度大于住宅区,而两个区域在封锁后都出现了类似的反弹。封锁后的宽松期并没有导致人类活动的立即反弹,与重新开放相关的空气污染增加发生在封锁期结束近两个月后。我们假设,取暖需求、出行需求和商业活动的差异,是导致研究期间污染物空间分布相应变化的原因。这项研究对气候政策、低碳能源转型具有重要意义,甚至可能由于人类暴露模式的变化而对当地政策产生影响,如果不加以解决,这些变化可能会带来重要的公共卫生结果。