Lab of Environmental Remote Sensing (LERS), School of Marine Sciences (SMS), Nanjing University of Information Science and Technology (NUIST), Nanjing, 210044, China.
Lab of Environmental Remote Sensing (LERS), School of Marine Sciences (SMS), Nanjing University of Information Science and Technology (NUIST), Nanjing, 210044, China.
J Environ Manage. 2022 Aug 1;315:115097. doi: 10.1016/j.jenvman.2022.115097. Epub 2022 Apr 30.
In this study, combined Dark Target and Deep Blue (DTB) aerosol optical depth at 550 nm (AOD) data the Moderate Resolution Imaging Spectroradiometer (MODIS) flying on the Terra and Aqua satellites during the years 2003-2020 are used as a reference to assess the performance of the Copernicus Atmosphere Monitoring Services (CAMS) and the second version of Modern-Era Retrospective analysis for Research and Applications (MERRA-2) AOD over Bangladesh. The study also investigates long-term spatiotemporal variations and trends in AOD, and determines the relative contributions from different aerosol species (black carbon: BC, dust, organic carbon: OC, sea salt: SS, and sulfate) and anthropogenic emissions to the total AOD. As the evaluations suggest higher accuracy for CAMS than for MERRA-2, CAMS is used for further analysis of AOD over Bangladesh. The annual mean AOD from both CAMS and MODIS DTB is high (>0.60) over most parts of Bangladesh except for the eastern areas of Chattogram and Sylhet. Higher AOD is observed in spring and winter than in summer and autumn, which is mainly due to higher local anthropogenic emissions during the winter to spring season. Annual trends from 2003-2020 show a significant increase in AOD (by 0.006-0.014 year) over Bangladesh, and this increase in AOD was more evident in winter and spring than in summer and autumn. The increasing total AOD is caused by rising anthropogenic emissions and accompanied by changes in aerosol species (with increased OC, sulfate, and BC). Overall, this study improves understanding of aerosol pollution in Bangladesh and can be considered as a supportive document for Bangladesh to improve air quality by reducing anthropogenic emissions.
本研究使用 Terra 和 Aqua 卫星上搭载的中分辨率成像光谱仪(MODIS)在 2003-2020 年期间获取的 550nm 处的暗目标和深蓝天体光学厚度(DTB)气溶胶光学厚度(AOD)数据,作为参考,评估哥白尼大气监测服务(CAMS)和第二代现代回顾分析研究与应用(MERRA-2)AOD 在孟加拉国的性能。本研究还调查了 AOD 的长期时空变化和趋势,并确定了不同气溶胶物种(黑碳:BC、灰尘、有机碳:OC、海盐:SS 和硫酸盐)和人为排放对总 AOD 的相对贡献。由于评估结果表明 CAMS 的准确性高于 MERRA-2,因此使用 CAMS 进一步分析孟加拉国的 AOD。来自 CAMS 和 MODIS DTB 的年平均 AOD 在孟加拉国大部分地区都很高(>0.60),除了 Chattogram 和 Sylhet 的东部地区。春季和冬季的 AOD 高于夏季和秋季,这主要是由于冬季到春季期间当地人为排放较高所致。2003-2020 年的年趋势显示,孟加拉国的 AOD 呈显著增加(增加了 0.006-0.014 年),冬季和春季的增加比夏季和秋季更为明显。总 AOD 的增加是由人为排放的增加引起的,同时伴随着气溶胶物种的变化(OC、硫酸盐和 BC 增加)。总体而言,本研究增进了对孟加拉国气溶胶污染的理解,可作为孟加拉国通过减少人为排放来改善空气质量的辅助文件。