Advances in Space Research ( IF 2.177 ) Pub Date : 2021-01-20 , DOI: 10.1016/j.asr.2021.01.017 V. Sreekanth; Meenakshi Kushwaha; Padmavati Kulkarni; Adithi R. Upadhya; B. Spandana; Vignesh Prabhu
Leveraging the COVID-19 India-wide lockdown situation, the present study attempts to quantify the reduction in the ambient fine particulate matter concentrations during the lockdown (compared with that of the pre-lockdown period), owing to the highly reduced specific anthropogenic activities and thereby pollutant emissions. The study was conducted over Bengaluru (India), using PM2.5 (mass concentration of particulate matter having size less than or equal to 2.5 µm) and Black Carbon mass concentration (BC) data. Open-access datasets from pollution control board (PCB) were also utilised to understand the spatial variability and region-specific reduction in PM2.5 across the city. The highest percentage reduction was observed in BCff (black carbon attributable to fossil fuel combustion), followed by total BC and PM2.5. No decrease in BCbb (black carbon attributable to wood/biomass burning) was observed, suggesting unaltered wood-based cooking activities and biomass-burning (local/regional) throughout the study period. Results support the general understanding of multi-source (natural and anthropogenic) nature of PM2.5 in contrast to limited-source (combustion based) nature of BC. The diurnal amplitudes in BC and BCff were reduced, while they remained almost the same for PM2.5 and BCbb. Analysis of PCB data reveal the highest reduction in PM2.5 in an industrial cluster area. The current lockdown situation acted as a natural model to understand the role of a few major anthropogenic activities (viz., traffic, construction, industries related to non-essential goods, etc.) in enhancing the background fine particulate matter levels. Contemporary studies reporting reduction in surface fine particulate matter and satellite retrieved columnar Aerosol Optical Depth (AOD) during COVID-19 lockdown period are discussed.
利用COVID-19印度范围内的封锁情况，由于特定的人为活动和减少的活动大大减少了，本研究试图量化封锁期间（与封锁前相比）周围环境细颗粒物浓度的减少。从而排放污染物。该研究是在印度班加罗尔进行的，使用的是PM 2.5（颗粒物质的质量浓度小于或等于2.5 µm）和黑碳质量浓度（BC）数据。来自污染控制委员会（PCB）的开放式访问数据集还用于了解整个城市中PM 2.5的空间变异性和特定地区的减排量。在卑诗省ff观察到最高的减少百分比（归因于化石燃料燃烧的黑碳），其次是总BC和PM 2.5。没有观察到BC bb减少（归因于木材/生物质燃烧的黑碳），表明在整个研究期间，木质烹饪活动和生物质燃烧（局部/区域）未发生变化。与BC的有限来源（基于燃烧）性质相反，结果支持对PM 2.5的多来源（自然和人为）性质的一般理解。BC和BC ff的昼夜振幅减小，而PM 2.5和BC bb的昼夜振幅几乎保持不变。PCB数据分析显示PM 2.5降低幅度最大在工业集群区。当前的封锁情况是了解一些主要的人为活动（即交通，建筑，与非必需品有关的行业等）在提高背景细颗粒物水平方面的作用的自然模型。讨论了当代研究报告，该研究报告了在COVID-19锁定期间表面细颗粒物减少和卫星取回的柱状气溶胶光学深度（AOD）减少。