Spatiotemporal Changes in aerosol loadings across Bangladesh from 2010-2021

Md. Abu Sayed, Md. Monirul Islam, Md. Arfan Ali, Md. Nayem Jaman Tusher
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Abstract

Climate simulations are uncertain due to aerosols' significant contribution to the atmospheric process. In current climate diagnostics, it is vital to assess aerosols properly. The present study investigated spatiotemporal changes in aerosol loadings across Bangladesh based on Terra-MODIS (Moderate Resolution Imaging Spectroradiometer) aerosol products (at 550 nm) during the time period 2010–2021. Results of this study showed high aerosol loadings (Aerosol Optical Depth, AOD >0.6) throughout the entire country excluding some small areas of the Chattogram and Sylhet divisions. Post-monsoon aerosol loadings were the lowest and pre-monsoon and winter aerosol loadings were the highest. The highest aerosol loadings (0.87) demonstrated in June whereas the lowest (0.46) in October. The regional AOD patterns in eight distinct divisions of Bangladesh were studied, all the divisions were showing increasing trends of AOD. The highest AOD levels were found in Rajshahi and Khulna but the highest increasing rate of AOD was reported in Rangpur. At the Dhaka University site (Bhola site), the correlation (r) between satellite and ground-based measurements was 0.82 (0.80) for Dark Target (DT) and 0.87 (0.76) for Deep Blue (DB), suggesting further applications can be made to these datasets.
2010-2021年孟加拉国气溶胶负荷的时空变化
由于气溶胶对大气过程的重要贡献,气候模拟是不确定的。在当前的气候诊断中,正确评估气溶胶是至关重要的。本研究基于Terra-MODIS(中分辨率成像光谱仪)气溶胶产品(550 nm)调查了2010-2021年期间孟加拉国气溶胶负荷的时空变化。本研究结果显示,除了Chattogram和Sylhet地区的一些小地区外,整个国家都有高气溶胶负荷(气溶胶光学深度,AOD >0.6)。季风后气溶胶负荷最低,季风前和冬季气溶胶负荷最高。6月气溶胶负荷最高(0.87),10月最低(0.46)。对孟加拉国8个不同分区的区域AOD格局进行了研究,所有分区AOD均呈现增加趋势。Rajshahi和kulna的AOD水平最高,而Rangpur的AOD增长率最高。在达卡大学站点(Bhola站点),卫星和地面测量之间的相关性(r)在暗目标(DT)和深蓝(DB)上分别为0.82(0.80)和0.87(0.76),这表明这些数据集可以进一步应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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