Suppr超能文献

作为整体空气质量指标的颗粒物传感器:新冠疫情前和疫情期间

PM sensors as an indicator of overall air quality: Pre-COVID and COVID periods.

作者信息

Prakash Jai, Choudhary Shruti, Raliya Ramesh, Chadha Tandeep, Fang Jiaxi, Biswas Pratim

机构信息

Aerosol and Air Quality Research Laboratory, Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St Louis, MO, 63130, USA.

Department of Atmospheric Science, School of Earth Sciences, Central University of Rajasthan, Bandarsindri, Kishangarh, Ajmer, 305 817, Rajasthan, India.

出版信息

Atmos Pollut Res. 2022 Nov;13(11):101594. doi: 10.1016/j.apr.2022.101594. Epub 2022 Nov 9.

Abstract

Nowadays, there has been a substantial proliferation in the use of low-cost particulate matter (PM) sensors and facilitating as an indicator of overall air quality. However, during COVID-19 epidemics, air pollution sources have been deteriorated significantly, and given offer to evaluate the impact of COVID-19 on air quality in the world's most polluted city: Delhi, India. To address low-cost PM sensors, this study aimed to a) conduct a long-term field inter-comparison of twenty-two (22) low-cost PM sensors with reference instruments over 10-month period (evaluation period) spanning months from May 2019 to February 2020; b) trend of PM mass and number count; and c) probable local and regional sources in Delhi during Pre-CVOID (P-COVID) periods. The comparison of low-cost PM sensors with reference instruments results found with R ranging between 0.74 and 0.95 for all sites and confirm that PM sensors can be a useful tool for PM monitoring network in Delhi. Relative reductions in PM and particle number count (PNC) due to COVID-outbreaks showed in the range between (2-5%) and (4-13%), respectively, as compared to the P-COVID periods. The cluster analysis reveals air masses originated ∼52% from local, while ∼48% from regional sources in P-COVID and PM levels are encountered 47% and 66-70% from local and regional sources, respectively. Overall results suggest that low-cost PM sensors can be used as an unprecedented aid in air quality applications, and improving non-attainment cities in India, and that policy makers can attempt to revise guidelines for clean air.

摘要

如今,低成本颗粒物(PM)传感器的使用大量增加,并成为整体空气质量的一个指标。然而,在新冠疫情期间,空气污染源显著恶化,这为评估新冠疫情对世界污染最严重城市之一——印度德里的空气质量的影响提供了契机。针对低成本PM传感器,本研究旨在:a)在2019年5月至2020年2月这10个月的时间(评估期)内,将22个低成本PM传感器与参考仪器进行长期实地比对;b)分析PM质量和数量计数的趋势;c)确定新冠疫情前(P-COVID)时期德里可能的本地和区域污染源。将低成本PM传感器与参考仪器进行比较的结果发现,所有站点的R值在0.74至0.95之间,这证实了PM传感器可以成为德里PM监测网络的一个有用工具。与P-COVID时期相比,因新冠疫情爆发导致的PM和颗粒数量计数(PNC)的相对减少分别在(2-5%)和(4-13%)之间。聚类分析显示,在P-COVID时期,约52%的气团源自本地,约48%源自区域源,而PM水平分别有47%和66-70%来自本地和区域源。总体结果表明,低成本PM传感器可作为空气质量应用中前所未有的辅助工具,有助于改善印度未达标的城市,政策制定者可尝试修订清洁空气指南。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5257/9643431/64d8c6eeab77/ga1_lrg.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验