CSIR-National Physical Laboratory, Dr. K. S. Krishnan Marg, New Delhi, 110 012, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201 002, India.
Environ Sci Pollut Res Int. 2022 Dec;29(57):85676-85687. doi: 10.1007/s11356-021-16874-z. Epub 2021 Oct 21.
The megacities experience poor air quality frequently due to stronger anthropogenic emissions. India had one of the longest lockdowns in 2020 to curb the spread of COVID-19, leading to reductions in the emissions from anthropogenic activities. In this article, the frequency distributions of different pollutants have been analysed over two densely populated megacities: Delhi (28.70° N; 77.10° E) and Kolkata (22.57° N; 88.36° E). In Delhi, the percentage of days with PM levels exceeding the National Ambient Air Quality Standards (NAAQS) between 25 March and 17 June dropped from 98% in 2019 to 61% in 2020. The lockdown phase 1 brought down the PM (particulate matter having an aerodynamic diameter ≤ 10 μm) levels below the daily NAAQS limit over Delhi and Kolkata. However, PM exceeded the limit of 100 μgm during phases 2-5 of lockdown over Delhi due to lower temperature, weaker winds, increased relative humidity and commencement of limited traffic movement. The PM levels exhibit a regressive trend in the highest range from the year 2019 to 2020 in Delhi. The daily mean value for PM concentrations dropped from 85-90 μgm to 40-45 μgm bin, whereas the PM levels witnessed a reduction from 160-180 μgm to 100-120 μgm bin due to the lockdown. Kolkata also experienced a shift in the peak of PM distribution from 80-100 μgm in 2019 to 20-40 μgm during the lockdown. The PM levels in peak frequency distribution were recorded in the 35-40 μgm bin in 2019 which dropped to 15-20 μgm in 2020. In line with particulate matter, other primary gaseous pollutants (NO, CO, SO, NH) also showed decline. However, changes in O showed mixed trends with enhancements in some of the phases and reductions in other phases. In contrast to daily mean O, 8-h maximum O showed a reduction over Delhi during lockdown phases except for phase 3. Interestingly, the time of daily maximum was observed to be delayed by ~ 2 h over Delhi (from 1300 to 1500 h) and ~ 1 h over Kolkata (from 1300 to 1400 h) almost coinciding with the time of maximum temperature, highlighting the role of meteorology versus precursors. Emission reductions weakened the chemical sink of O leading to enhancement (120%; 11 ppbv) in night-time O over Delhi during phases 1-3.
由于人为排放更强,特大城市经常经历空气质量差的问题。印度在 2020 年实行了最长的封锁之一,以遏制 COVID-19 的传播,导致人为活动排放减少。在本文中,分析了两个人口稠密的特大城市:德里(28.70°N;77.10°E)和加尔各答(22.57°N;88.36°E)的不同污染物的频率分布。在德里,2020 年 3 月 25 日至 6 月 17 日期间,PM 水平超过国家环境空气质量标准(NAAQS)的天数百分比从 2019 年的 98%降至 61%。封锁阶段 1 使德里和加尔各答的 PM(空气动力学直径 ≤ 10μm 的颗粒物)水平低于每日 NAAQS 限值。然而,由于温度较低、风速较弱、相对湿度增加和有限的交通流动开始,PM 在封锁的 2-5 阶段超过了 100 μgm 的限值。PM 水平在 2019 年至 2020 年期间在最高范围内呈下降趋势。德里的每日平均 PM 浓度从 85-90 μgm 降至 40-45 μgm 范围,而由于封锁,PM 水平从 160-180 μgm 降至 100-120 μgm 范围。加尔各答的 PM 分布峰值也从 2019 年的 80-100 μgm 转移到封锁期间的 20-40 μgm。2019 年 PM 水平在峰值频率分布中记录在 35-40 μgm 范围内,而 2020 年降至 15-20 μgm。与颗粒物一样,其他主要气态污染物(NO、CO、SO、NH)也有所下降。然而,O 的变化显示出混合趋势,一些阶段增强,而其他阶段减少。与每日平均 O 相反,2020 年除了第三阶段外,封锁期间德里的 8 小时最大 O 都有所减少。有趣的是,德里的每日最大时间观察到延迟了约 2 小时(从 1300 到 1500 小时),加尔各答延迟了约 1 小时(从 1300 到 1400 小时),几乎与最高温度同时发生,突出了气象与前体相比的作用。排放减少削弱了 O 的化学汇,导致德里 1-3 阶段夜间 O 增强(120%;11 ppbv)。