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Aerosol hygroscopic growth, contributing factors, and impact on haze events in a severely polluted region in northern China
被引:63
作者:
Chen, Jun
[1
]
Li, Zhanqing
[2
,3
]
Lv, Min
[4
]
Wang, Yuying
[1
]
Wang, Wei
[1
]
Zhang, Yingjie
[5
]
Wang, Haofei
[6
,7
]
Yan, Xing
[1
]
Sun, Yele
[5
]
Cribb, Maureen
[2
,3
]
机构:
[1] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[2] Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA
[3] Univ Maryland, ESSIC, College Pk, MD 20742 USA
[4] Nantong Univ, Sch Geog Sci, Nantong 226000, Peoples R China
[5] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China
[6] Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China
[7] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Environm Protect Key Lab Satellite Remote S, Beijing 100101, Peoples R China
基金:
美国国家科学基金会;
国家重点研发计划;
关键词:
IN-SITU MEASUREMENTS;
SINGLE-PARAMETER REPRESENTATION;
PLANETARY BOUNDARY-LAYER;
WATER-VAPOR;
RAMAN LIDAR;
CHEMICAL-COMPOSITION;
OPTICAL-PROPERTIES;
SCATTERING COEFFICIENT;
RELATIVE-HUMIDITY;
LIGHT-SCATTERING;
D O I:
10.5194/acp-19-1327-2019
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
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 2.5 mu m (PM1 and PM2.5, 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 PM2.5 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)(2)SO4. Model results based on H-TDMA data showed that aerosol hygroscopic growth factors in each size category (40, 80, 110, 150, and 200 nm) 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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页码:1327 / 1342
页数:16
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