Identification and particle sizing of submicron mineral dust by using complex forward-scattering amplitude data
Identification and particle sizing of submicron mineral dust by using complex forward-scattering amplitude data
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使用复杂的前向散射振幅数据识别亚微米矿物粉尘并确定其粒径
DOI：
10.1080/02786826.2022.2057839
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发表时间：
2022
影响因子：
5.2
通讯作者：
Adachi Kouji
中科院分区：
文献类型：
--
作者：
Yoshida Atsushi;Moteki Nobuhiro;Adachi Kouji
为了用地球系统模式研究矿物粉尘对气候的影响，需要一个精确的观测数据集，其中包括大气、水圈和冰冻圈中矿物粉尘颗粒的尺寸分辨浓度。然而，由于单个粉尘颗粒的物理化学性质(例如，形状和矿物学)的复杂性，以及在区分粉尘和其他颗粒成分(例如，黑碳)方面的困难，粉尘颗粒的自动化测量仍然具有挑战性。在这里，我们建议使用由单粒子消光和散射(SPES)方法获得的复前向散射幅度数据作为一种低成本的光学方法来识别和定量硅酸盐(Alumosilates + Quarter)颗粒，硅酸盐是沙漠沙尘的主要颗粒成分。在这里，我们专注于亚微米颗粒尺寸范围，以挑战仅根据弹性光散射原理对波长或较小尺度尘埃的稳健识别。复杂散射幅度数据的二维性质使我们能够识别水中粉尘样品中以硅酸盐为主的颗粒，并将它们与吸收光的颗粒成分(例如赤铁矿)区分开来。我们证明，复振幅的二维数据空间可以准确地反演硅酸盐颗粒的粒度分布，这要归功于颗粒的有效折射率的同时反演。我们讨论了我们的结果与传统的弹性光散射方法得到的结果中的一些显著差异。版权所有©2022美国气溶胶研究协会
An accurate observational dataset of the size-resolved concentration of mineral dust particles in the atmosphere, hydrosphere, and cryosphere is needed for investigating the effect of mineral dust on the climate with earth system models. However, automated measurements of dust particles remain challenging due to the complexities of the physicochemical properties (e.g., shape and mineralogy) of individual dust particles and the difficulties in discriminating dust from other particulate components (e.g., black carbon). Here, we suggest the use of complex forward-scattering amplitude data obtained by the single particle extinction and scattering (SPES) method as a low-cost optical approach for identification and quantification of silicate (aluminosilicates + quartz) particles, the major particulate component of desert dust. We focus here on the submicron particle-size range to challenge the robust identification of wavelength or smaller scale dust solely according to the principle of elastic light scattering. The two-dimensional nature of the complex scattering amplitude data allows us to identify silicate-dominant particles in waterborne dust samples and discriminate them from light-absorbing particulate components (e.g., hematite). We demonstrate that the two-dimensional dataspace of the complex amplitude allows an accurate retrieval of the particle-size distribution of silicate particles thanks to the simultaneous retrieval of the particle’s effective refractive index. We discuss some notable differences in our results from those retrieved from conventional elastic light scattering approaches.Copyright © 2022 American Association for Aerosol Research