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

Abstract

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 ismore » 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.« less

Authors:

Wang, Yang  ^[1];

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• Search DOE PAGES for ORCID "0000-0002-0543-0443"
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Zheng, Guangjie  ^[1];

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• Search DOE PAGES for ORCID "0000-0002-8103-2594"
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Spielman, Steven R. ^[2]; Pinterich, Tamara ^[3]; Hering, Susanne V. ^[2]; Wang, Jian  ^[1]

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• Search DOE PAGES for ORCID "0000-0002-2815-4170"
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+ Show Author Affiliations

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

Publication Date:

2019-06-25

Research Org.:

Brookhaven National Lab. (BNL), Upton, NY (United States)

Sponsoring Org.:

USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)

OSTI Identifier:

1558248

Report Number(s):

BNL-212005-2019-JAAM
Journal ID: ISSN 0278-6826

Grant/Contract Number:  

SC0012704; SC0013103; SC0006312

Resource Type:

Accepted Manuscript

Journal Name:

Aerosol Science and Technology

Additional Journal Information:

Journal Volume: 53; Journal Issue: 9; Journal ID: ISSN 0278-6826

Publisher:

American Association for Aerosol Research

Country of Publication:

United States

Language:

English

Subject:

54 ENVIRONMENTAL SCIENCES