Retrieval of high time resolution growth factor probability density function from a humidity-controlled fast integrated mobility spectrometer

Wang, Yang; Zheng, Guangjie; Spielman, Steven R.; Pinterich, Tamara; Hering, Susanne V.; Wang, Jian

doi:10.1080/02786826.2019.1628917

Title: Retrieval of high time resolution growth factor probability density function from a humidity-controlled fast integrated mobility spectrometer

Journal Article · 25 June 2019 · Aerosol Science and Technology

DOI: https://doi.org/10.1080/02786826.2019.1628917 · OSTI ID:1558248

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^[1]; Spielman, Steven R. ^[2]; Pinterich, Tamara ^[3]; Hering, Susanne V. ^[2];

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Brookhaven National Lab. (BNL), Upton, NY (United States); Washington Univ., St. Louis, MO (United States)
Aerosol Dynamics Inc., Berkeley, CA (United States)
Brookhaven National Lab. (BNL), Upton, NY (United States)

Hygroscopicity describes the tendency of aerosol particle to uptake water and is among the key parameters in determining the impact of atmospheric aerosols on global radiation and climate. A hygroscopicity tandem differential mobility analyzer (HTDMA) system is the most widely utilized instrument for determining the aerosol hygroscopic growth. Because of the time needed to scan the classifying voltage of the DMA, HTDMA measurement normally requires a minimum of 30 min to characterize the particle hygroscopic growth at a single relative humidity for five to six different sizes. This slow speed is often inadequate for measurements onboard mobile platforms or when aerosols evolve rapidly. Recently, a humidity-controlled fast integrated mobility spectrometer (HFIMS) was developed for measuring the hygroscopic growth of particles. The measurement speed of the HFIMS is about one order of magnitude faster than that of the conventional HTDMA. Here, a data inversion routine is developed to retrieve the growth factor probability density function (GF-PDF) of particles measured by the HFIMS. The inversion routine considers the transfer functions of the upstream DMA and the downstream water-based fast integrated mobility spectrometer (FIMS), and derives the GF-PDF that reproduces the measured responses of the HFIMS. The performance of the inversion routine is examined using ambient measurements with different assumptions for the spectral shape of the particle GF-PDF (multimodal lognormal or piecewise linear). The influences of the data inversion parameters and counting statistics on the inverted GF-PDFs were further investigated, and an approach to determine the optimized inversion parameters is presented.

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Research Organization:: Brookhaven National Laboratory (BNL), Upton, NY (United States); Aerosol Dynamics, Inc., Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES); USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: SC0012704; SC0013103; SC0006312

OSTI ID:: 1558248

Alternate ID(s):: OSTI ID: 1600605

Report Number(s):: BNL-212005-2019-JAAM

Journal Information:: Aerosol Science and Technology, Vol. 53, Issue 9; ISSN 0278-6826

Publisher:: American Association for Aerosol ResearchCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 3 works

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