Abstract

Abstract. Absorption Ångström exponents (AAEs) calculated from filter-based absorption measurements are often used to give information on the origin of the ambient aerosol, for example, to distinguish between urban pollution and biomass burning aerosol. Filter-based absorption measurements are widely used and are common at aerosol monitoring stations globally. Several correction algorithms are used to account for artefacts associated with filter-based absorption techniques. These algorithms are of profound importance when determining the absolute amount of absorption by the aerosol. However, this study shows that there are substantial differences between the AAEs calculated from these corrections. Depending on the used correction, AAEs can change by as much as 46%. The study also highlights that the difference between AAEs calculated using different corrections can lead to conflicting conclusions on the type of aerosol when using the same data set. The AAE ranged between 1.17 for non-corrected data to 1.96 for the correction that gave the greatest values. Furthermore, the study implies that the AAEs reported for a site depend on at which filter transmittance the filter is changed. In this work, the AAEs were calculated from data measured with a three-wavelength particle soot absorption photometer (PSAP) at Elandsfontein on the South African Highveld for 23 months. The sample air of the PSAP was diluted to prolong filter change intervals, by a factor of 15. The correlation coefficient between the dilution-corrected PSAP and a non-diluted Multi-Angle Absorption Photometer (MAAP) was 0.9. Thus, the study also shows that the applicability of the PSAP can be extended to remote sites that are not often visited or suffer from high levels of pollution.

Highlights

  • Atmospheric aerosols form part of the climatic system of the Earth

  • The primary objective of this study is to evaluate uncertainties involved with calculating AAE from σAP measured with filter-based measurement techniques that depend on correction algorithms

  • The performance of the diluted particle soot absorption photometer (PSAP) was evaluated by comparison to the Multi-Angle Absorption Photometer (MAAP)

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Summary

Introduction

Absorption or both will reduce solar insolation at the surface and alter the radiative transfer through the atmosphere. This is called the “direct radiative effect” of aerosols (Haywood and Boucher, 2000; Lohmann and Feichter, 2005). A study by Bond et al (2013) concluded that BC is the second most important positive radiative forcer. The term BC will be used according to the definition of Bond et al (2013), i.e. a material with specific properties. BC particles are made of spherules of mostly pure carbon that form aggregates.

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