Literature DB >> 10842935

Aerosol light scattering measurements as a function of relative humidity.

D E Day1, W C Malm, S M Kreidenweis.   

Abstract

The hygroscopic nature of atmospheric fine aerosol was investigated at a rural site in the Great Smoky Mountains National Park during July and August 1995. Passing the sample aerosol through an inlet, which housed an array of Perma Pure diffusion dryers, controlled the sample aerosol's relative humidity (RH). After conditioning the aerosol sample in the inlet, the light scattering coefficient and the aerosol size distribution were simultaneously measured. During this study, the conditioned aerosol's humidity ranged between 5% < RH < 95%. Aerosol response curves were produced using the ratio bspw/bspd; where bspw is the scattering coefficient measured at some RH greater than 20% and bspd is the scattering coefficient of the "dry" aerosol. For this work, any sample RH values below 15% were considered dry. Results of this investigation showed that the light scattering ratio increased continuously and smoothly over the entire range of relative humidity. The magnitude of the ratio at a particular RH value, however, varied considerably in time, particularly for RH values greater than approximately 60%. Curves of the scattering coefficient ratios as a function of RH were generated for each day and compared to the average 12-hour chemical composition of the aerosol. This comparison showed that for any particular RH value the ratio was highest during time periods of high sulfate concentrations and lowest during time periods of high soil or high organic carbon concentrations.

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Year:  2000        PMID: 10842935     DOI: 10.1080/10473289.2000.10464103

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  4 in total

1.  Use of low-cost PM monitors and a multi-wavelength aethalometer to characterize PM2.5 in the Yakama Nation Reservation.

Authors:  Orly Stampfer; Elena Austin; Terry Ganuelas; Tremain Fiander; Edmund Seto; Catherine Karr
Journal:  Atmos Environ (1994)       Date:  2020-01-20       Impact factor: 4.798

2.  Mass reconstruction methods for PM2.5: a review.

Authors:  Judith C Chow; Douglas H Lowenthal; L-W Antony Chen; Xiaoliang Wang; John G Watson
Journal:  Air Qual Atmos Health       Date:  2015-05-07       Impact factor: 3.763

3.  A Prototype Sensor for In Situ Sensing of Fine Particulate Matter and Volatile Organic Compounds.

Authors:  Chee-Loon Ng; Fuu-Ming Kai; Ming-Hui Tee; Nicholas Tan; Harold F Hemond
Journal:  Sensors (Basel)       Date:  2018-01-18       Impact factor: 3.576

4.  Energy-Efficient Monitoring of Fine Particulate Matter with Tiny Aerosol Conditioner.

Authors:  Sung Hoon Baek
Journal:  Sensors (Basel)       Date:  2022-03-02       Impact factor: 3.576

  4 in total

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