Dumka U C, Kaskaoutis D G, Verma Shubha, Ningombam Shantikumar S, Kumar Sarvan, Ghosh Sanhita
Aryabhatta Research Institute of Observational Sciences, Nainital, 263001, India.
Institute for Environmental Research and Sustainable Development, National Observatory of Athens, Palaia Penteli, 15236, Athens, Greece.
Atmos Pollut Res. 2021 Feb;12(2):225-242. doi: 10.1016/j.apr.2020.11.005. Epub 2020 Nov 11.
The current study examines the impact of the COVID-19 lockdown (25th March until May 17, 2020) period in particulate matter (PM) concentrations and air pollutants (NO, SO, CO, NH, and O) at 63 stations located at Delhi, Uttar Pradesh and Haryana states within the Delhi-NCR, India. Large average reductions are recorded between the stations in each state such as PM (-46 to -58%), PM (-49 to -55%), NO (-27 to -58%), NO (-54% to -59%), CO (-4 to -44%), NH (-2 to -38%), while a slight increase is observed for O (+4 to +6%) during the lockdown period compared to same periods in previous years. Furthermore, PM and air pollutants are significantly reduced during lockdown compared to the respective period in previous years, while a significant increase in pollution levels is observed after the re-opening of economy. The meteorological changes were rather marginal between the examined periods in order to justify such large reductions in pollution levels, which are mostly attributed to traffic-related pollutants (NO, CO and road-dust PM). The WRF-CHIMERE model simulations reveal a remarkable reduction in PM, NO and SO levels over whole Indian subcontinent and mostly over urban areas, due to limitation in emissions from the traffic and industrial sectors. A PM reduction of -48% was simulated in Delhi in great consistency with measurements, rendering the model as a powerful tool for simulations of lower pollution levels during lockdown period.
本研究考察了2020年3月25日至5月17日新冠疫情封锁期间,印度德里-国家首都辖区内德里、北方邦和哈里亚纳邦63个监测站的颗粒物(PM)浓度及空气污染物(NO、SO、CO、NH和O)的变化情况。各邦监测站均记录到大幅平均降幅,如PM(-46%至-58%)、PM(-49%至-55%)、NO(-27%至-58%)、NO(-54%至-59%)、CO(-4%至-44%)、NH(-2%至-38%),而与前几年同期相比,封锁期间O略有增加(+4%至+6%)。此外,与前几年同期相比,封锁期间PM和空气污染物显著减少,而经济重新开放后污染水平显著上升。在研究期间,气象变化相当微小,不足以解释污染水平如此大幅的下降,污染水平的下降主要归因于与交通相关的污染物(NO、CO和道路扬尘PM)。WRF-CHIMERE模型模拟显示,由于交通和工业部门排放受限,整个印度次大陆尤其是城市地区的PM、NO和SO水平显著降低。德里模拟的PM降幅为-48%,与测量结果高度一致,这使得该模型成为模拟封锁期间较低污染水平的有力工具。