气候变化领域集成服务门户(CCPortal): Mobile monitoring of urban air quality at high spatial resolution by low-cost sensors: Impacts of COVID-19 pandemic lockdown

CCPortal

DOI	10.5194/acp-21-7199-2021
	Mobile monitoring of urban air quality at high spatial resolution by low-cost sensors: Impacts of COVID-19 pandemic lockdown
	Wang S.; Ma Y.; Wang Z.; Wang L.; Chi X.; Ding A.; Yao M.; Li Y.; Li Q.; Wu M.; Zhang L.; Xiao Y.; Zhang Y.
发表日期	2021
ISSN	1680-7316
起始页码	7199
结束页码	7215
卷号	21 期号:9
英文摘要	The development of low-cost sensors and novel calibration algorithms provides new hints to complement conventional ground-based observation sites to evaluate the spatial and temporal distribution of pollutants on hyperlocal scales (tens of meters). Here we use sensors deployed on a taxi fleet to explore the air quality in the road network of Nanjing over the course of a year (October 2019-September 2020). Based on GIS technology, we develop a grid analysis method to obtain 50 m resolution maps of major air pollutants (CO, NO2, and O3). Through hotspot identification analysis, we find three main sources of air pollutants including traffic, industrial emissions, and cooking fumes. We find that CO and NO2 concentrations show a pattern: highways > arterial roads > secondary roads > branch roads > residential streets, reflecting traffic volume. The O3 concentrations in these five road types are in opposite order due to the titration effect of NOx. Combined the mobile measurements and the stationary station data, we diagnose that the contribution of traffic-related emissions to CO and NO2 are 42.6 % and 26.3 %, respectively. Compared to the preCOVID period, the concentrations of CO and NO2 during the COVID-lockdown period decreased for 44.9 % and 47.1 %, respectively, and the contribution of traffic-related emissions to them both decreased by more than 50 %. With the end of the COVID-lockdown period, traffic emissions and air pollutant concentrations rebounded substantially, indicating that traffic emissions have a crucial impact on the variation of air pollutant levels in urban regions. This research demonstrates the sensing power of mobile monitoring for urban air pollution, which provides detailed information for source attribution, accurate traceability, and potential mitigation strategies at the urban micro-scale. © 2021 Author(s).
语种	英语
scopus关键词	air quality; atmospheric pollution; COVID-19; pandemic; pollution monitoring; sensor; spatial resolution; traffic emission; urban atmosphere; China; Jiangsu; Nanjing [Jiangsu]
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/246901
作者单位	School of Atmospheric Sciences, Nanjing University, Nanjing, China; Beijing Spc Environment Protection Tech Company Ltd., Beijing, China; Hebei Sailhero Environmental Protection Hi-tech. Ltd., Shijiazhuang, Hebei, China
推荐引用方式 GB/T 7714	Wang S.,Ma Y.,Wang Z.,et al. Mobile monitoring of urban air quality at high spatial resolution by low-cost sensors: Impacts of COVID-19 pandemic lockdown[J],2021,21(9).
APA	Wang S..,Ma Y..,Wang Z..,Wang L..,Chi X..,...&Zhang Y..(2021).Mobile monitoring of urban air quality at high spatial resolution by low-cost sensors: Impacts of COVID-19 pandemic lockdown.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(9).
MLA	Wang S.,et al."Mobile monitoring of urban air quality at high spatial resolution by low-cost sensors: Impacts of COVID-19 pandemic lockdown".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.9(2021).