Aerosol hygroscopic growth, contributing factors, and impact on haze events in a severely polluted region in northern China

Chen, Jun; Li, Zhanqing; Lv, Min; Wang, Yuying; Wang, Wei; Zhang, Yingjie; Wang, Haofei; Yan, Xing; Sun, Yele; Cribb, Maureen

doi:10.5194/acp-19-1327-2019

Title: Aerosol hygroscopic growth, contributing factors, and impact on haze events in a severely polluted region in northern China

Journal Article · Thu Jan 31 00:00:00 EST 2019 · Atmospheric Chemistry and Physics (Online)

DOI:https://doi.org/10.5194/acp-19-1327-2019· OSTI ID:1493079

Chen, Jun;

; Lv, Min; Wang, Yuying;

; Zhang, Yingjie; Wang, Haofei; Yan, Xing;

; Cribb, Maureen

This study investigates the impact of the aerosol hygroscopic growth effect on haze events in Xingtai, a heavily polluted city in the central part of the North China Plain (NCP), using a large array of instruments measuring aerosol optical, physical, and chemical properties. Key instruments used and measurements made include the Raman lidar for atmospheric water vapor content and aerosol optical profiles, the PC-3016A GrayWolf six-channel handheld particle and mass meter for atmospheric total particulate matter (PM) that has diameters less than 1 and 2.5µm (PM₁ and PM_2.5, respectively), the aerosol chemical speciation monitor (ACSM) for chemical components in PM₁, and the hygroscopic tandem differential mobility analyzer (H-TDMA) for aerosol hygroscopicity. The changes in PM₁ and PM_2.5 agreed well with that of the water vapor content due to the aerosol hygroscopic growth effect. Two cases were selected to further analyze the effects of aerosol hygroscopic growth on haze events. The lidar-estimated hygroscopic enhancement factor for the aerosol backscattering coefficient during a relatively clean period (Case I) was lower than that during a pollution event (Case II) with similar relative humidity (RH) levels of 80%–91%. The Kasten model was used to fit the aerosol optical hygroscopic growth factor (GF) whose parameter b differed considerably between the two cases, i.e., 0.1000 (Case I) versus 0.9346 (Case II). The aerosol acidity value calculated from ACSM data for Case I (1.35) was less than that for Case II (1.50) due to different amounts of inorganics such as NH₄NO₃, NH₄HSO₄, and (NH₄)₂SO₄. Model results based on H-TDMA data showed that aerosol hygroscopic growth factors in each size category (40, 80, 110, 150, and 200nm) at different RH levels (80%–91%) for Case I were lower than those for Case II. For similar ambient RH levels, the high content of nitrate facilitates the hygroscopic growth of aerosols, which may be a major factor contributing to heavy haze episodes in Xingtai.

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Sponsoring Organization:: USDOE

Grant/Contract Number:: SC0018996

OSTI ID:: 1493079

Journal Information:: Atmospheric Chemistry and Physics (Online), Journal Name: Atmospheric Chemistry and Physics (Online) Vol. 19 Journal Issue: 2; ISSN 1680-7324

Publisher:: Copernicus Publications, EGUCopyright Statement

Country of Publication:: Germany

Language:: English

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