Ali Md Tushar, Rafizul Islam M, Bari Quazi Hamidul
Department of Civil Engineering, Khulna University of Engineering & Technology (KUET), Khulna-9203, Bangladesh.
Heliyon. 2024 Oct 18;10(20):e39578. doi: 10.1016/j.heliyon.2024.e39578. eCollection 2024 Oct 30.
Following the COVID-19 restrictions, there was a sharp decline in global air quality and related environmental metrics. Due to the limited availability of in situ atmospheric data in Bangladesh, this study collected data on various air pollutants (NO, SO, CO, and PM), greenhouse gases (CO, CH, and O), as well as meteorological variables like Land Surface Temperature (LST), Relative Humidity (RH), Precipitation, surface albedo and Aerosol Optical Depth (AOD) from different datasets by Google Earth Engine (GEE), the International Energy Agency (IEA), NASA Giovanni, and NASA Power Access Viewer, covering periods before (2019), during (2020), and after (2021-2023) the COVID-19 lockdown in Bangladesh. GIS-based assessment alongside Principal Component Analysis (PCA) has been performed to explore the patterns, trends and correlations among the observed variables. Results showed in 2020 compared to 2019, NO, SO, CO, PM, and CO concentrations decreases by 1.94, 16.67, 1.95, 2.08, and 6 %, respectively, while CH and O continued to rise. Meteorological variables exhibited a 0.16 °C decreases in LST, 6.4 % increases in RH, a 6 % reduction in AOD, and 6.36 % declines in surface albedo. Post-lockdown in 2021, air pollutants surged (NO, SO, CO, and PM increases by 17.3, 23.6, 0.6, and 8.3 %, respectively), with CO, LST, and AOD rising by 8.5 %, 0.13 °C, and 8.3 %, and a slight 0.46 % decrease in RH compared to 2019 due to resuming more economic activities, transportation and industrial production works. The years 2022-2023 saw slight improvements in most variables except CH, though concentrations did not revert to those of 2019. The findings of correlation coefficients revealed that pollutants and GHG are highly correlated with the meteorological variables specially with RH. This study underscores the substantial shifts in atmospheric variables from pre-to post-lockdown periods, offering valuable insights for more effective management of the greenhouse effect and air pollution control strategies.
在新冠疫情限制措施实施之后,全球空气质量及相关环境指标急剧下降。由于孟加拉国现场大气数据的可得性有限,本研究通过谷歌地球引擎(GEE)、国际能源署(IEA)、美国国家航空航天局(NASA)的乔瓦尼平台以及NASA电力访问查看器,从不同数据集收集了各种空气污染物(一氧化氮、二氧化硫、一氧化碳和颗粒物)、温室气体(一氧化碳、甲烷和臭氧)的数据,以及诸如地表温度(LST)、相对湿度(RH)、降水量、地表反照率和气溶胶光学厚度(AOD)等气象变量的数据,涵盖了孟加拉国新冠疫情封锁之前(2019年)、期间(2020年)和之后(2021 - 2023年)的时间段。已进行基于地理信息系统(GIS)的评估以及主成分分析(PCA),以探究观测变量之间的模式、趋势和相关性。结果显示,与2019年相比,2020年一氧化氮、二氧化硫、一氧化碳、颗粒物和一氧化碳浓度分别下降了1.94%、16.67%、1.95%、2.08%和6%,而甲烷和臭氧则持续上升。气象变量方面,地表温度下降了0.16摄氏度,相对湿度上升了6.4%,气溶胶光学厚度下降了6%,地表反照率下降了6.36%。在2021年解封后,由于经济活动、交通和工业生产工作的恢复,空气污染物激增(一氧化氮、二氧化硫、一氧化碳和颗粒物分别增加了17.3%、23.6%、0.6%和8.3%),一氧化碳、地表温度和气溶胶光学厚度分别上升了8.5%、0.13摄氏度和8.3%,相对湿度相比2019年略有下降,为0.46%。2022 - 2023年,除甲烷外,大多数变量略有改善,不过浓度并未恢复到2019年的水平。相关系数的研究结果表明,污染物和温室气体与气象变量高度相关,特别是与相对湿度相关。本研究强调了从封锁前到封锁后大气变量的显著变化,为更有效地管理温室效应和空气污染控制策略提供了有价值的见解。