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Sensitivity study of bio-aerosol cross-sections

机译:生物气溶胶截面的敏感性研究

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There is wide variability in measured optical cross-sections for bio-aerosols. This variability may be due to a variety of causes, such as multiple scatter, particle agglomeration, etc. There are wide variations in numerically predicted cross-sections as well. In this case, the variability may be due to uncertainties in particle size distributions and complex refractive indices. Another source of variability in the numerical predictions that places them at odds with measured cross-sections is unrealistic assumptions about shape. For example, it is well known that spheres of a given volume are maximally efficient in backscatter. Thus, such an assumption produces unrealistically high backscatter cross-section estimates. In an attempt to elucidate some of the variability in measured and calculated data, we explore the sensitivity to the various parameters affecting these cross-sections. We explore the effects from the near into the far IR, of variations in particle size distribution, refractive index, and shape. Refractive index data are from the literature as well as our own laboratory. Numerical calculations are made using T-matrix algorithms for randomly oriented particles. Calculated results are compared with experimental measurements from the literature and with measurements in our own laboratory. Results of this sensitivity study are important in any remote measurement system designed to discriminate between particular bio-aerosol species and ambient aerosols.
机译:生物气溶胶的光学横截面测量值差异很大。这种可变性可能是由于多种原因引起的,例如多重散射,粒子团聚等。在数值预测的横截面中也存在很大的差异。在这种情况下,可变性可能是由于粒度分布和复折射率的不确定性所致。数值预测中导致其与测量横截面不一致的另一种可变性来源是关于形状的不切实际的假设。例如,众所周知,给定体积的球在反向散射方面是最大效率的。因此,这样的假设产生了不切实际的高反向散射截面估计。为了阐明测量和计算数据中的某些可变性,我们探索了对影响这些横截面的各种参数的敏感性。我们探索了从近红外到远红外的粒径分布,折射率和形状变化的影响。折射率数据来自文献以及我们自己的实验室。使用T矩阵算法对随机定向的粒子进行数值计算。将计算结果与文献中的实验测量结果以及我们自己实验室中的测量结果进行比较。这项敏感性研究的结果在旨在区分特定生物气溶胶物种和环境气溶胶的任何远程测量系统中都是重要的。

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