Srivastava Atul K, Bhoyar Priyanka D, Kanawade Vijay P, Devara Panuganti C S, Thomas Abin, Soni Vijay K
Indian Institute of Tropical Meteorology (IITM), Ministry of Earth Sciences (MoES), New Delhi, India.
Amity Centre for Ocean-Atmospheric Science and Technology (ACOAST), Amity University Haryana (AUH), Gurugram, Haryana, India.
Urban Clim. 2021 Mar;36:100791. doi: 10.1016/j.uclim.2021.100791. Epub 2021 Feb 2.
The enforced lockdown amid COVID-19 pandemic eased anthropogenic activities across India. The satellite-derived aerosol optical depth (AOD) and absorption AOD showed a significant reduction of ~30% over the Indo-Gangetic Basin (IGB) in north India during the lockdown period in 2020 with respect to the previous year 2019, when no such lockdown was in effect. Further, near-surface air pollutants were investigated at an urban megacity Delhi during 01 March to 31 May 2020. Except O, a drastic reduction in PM, PM, NO, NO and CO concentrations were observed by ~58%, 47%, 76%, 68% and 58%, respectively during the lockdown period of 2020 as compared to 2019. While, O was low in the initial phase and gradually increased with progression of lockdown phases, the mean O during the entire lockdown period was nearly similar in both the years. Though, all the measured pollutants showed significant reduction during the entire lockdown, a phase-wise enhancement, associated with the conditional relaxations was observed in their concentrations. Thus, the present results may help, not only to assess the impact of outbreak on air quality, but also in designing the mitigation policies in urban megacities in more efficient ways to combat the air pollution problems.
新冠疫情期间实施的封锁措施减少了印度各地的人为活动。与2019年(当时未实施此类封锁)相比,2020年封锁期间,印度北部恒河平原(IGB)的卫星反演气溶胶光学厚度(AOD)和吸收性AOD显著降低了约30%。此外,在2020年3月1日至5月31日期间,对特大城市德里的近地面空气污染物进行了调查。与2019年相比,2020年封锁期间,除臭氧外,细颗粒物(PM)、可吸入颗粒物(PM)、二氧化氮(NO)、一氧化氮(NO)和一氧化碳(CO)的浓度分别大幅下降了约58%、47%、76%、68%和58%。虽然臭氧在初期含量较低,并随着封锁阶段的推进而逐渐增加,但在这两年的整个封锁期间,臭氧的平均含量几乎相似。尽管在整个封锁期间,所有测量的污染物都显著减少,但在其浓度中观察到与有条件放宽相关的分阶段增强。因此,目前的结果不仅有助于评估疫情对空气质量的影响,还有助于以更有效的方式设计特大城市的缓解政策,以应对空气污染问题。