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Multifactorial impact analysis of aerosol hygroscopic parameters during haze process
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Jia-yuan MI1, 2, Ye DENG3, *, Xin-yi LI4, Jing-zhe TONG5, Na LI1, Chang-jian NI1
China Environmental Science | 2025, 45(3) : 1210 - 1217
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China Environmental Science | 2025, 45(3): 1210-1217
Air Pollution Control
Multifactorial impact analysis of aerosol hygroscopic parameters during haze process
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Jia-yuan MI1, 2, Ye DENG3, *, Xin-yi LI4, Jing-zhe TONG5, Na LI1, Chang-jian NI1
Affiliations
  • 1.College of Atmospheric Science, Chengdu University of Information Technology, Chengdu 610225, China
  • 2.Jilin Meteorological Information Network Center, Changchun 130062, China
  • 3.Chengdu Academy of Environmental Sciences, Chengdu 610072, China
  • 4.Chengdu Meteorological Service, Chengdu 611130, China
  • 5.Liaoning Provincial Meteorological Equipment Support Center, Shenyang 110166, China
Published: 2025-03-20
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Based on the hourly observational data from October to December 2017 in Chengdu, as well as the simultaneous data of atmospheric visibility(V), relative humidity(RH)and nitrogen dioxide(NO2), aerosol hygroscopic growth factor(Gf)was retrieved by Mie scattering theory coupled with immune evolutionary algorithm, and then aerosol hygroscopic parameter κ was calculated by κ-köhler theory, the variation characteristics of aerosol hygroscopic parameter κ and its influencing factors were analyzed during the haze process. The results showed that: The aerosol hygroscopic parameters κ were 0.142±0.092、0.149±0.088、0.191±0.061and 0.200±0.041 under mild, light, moderate and heavy haze intensity conditions respectively. The set of explanatory variables of aerosol hygroscopicity parameter κ was determined, including CBC, CBC/CPM2.5, CPM1/CPM2.5 and CPM2.5/CPM10CBC, CPM1, CPM2.5 and CPM10 represented mass concentrations of BC, PM1, PM2.5 and PM10 respectively). There were significant differences in the explanatory power for aerosol hygroscopic parameter κ of each variable as the haze intensities changed. The multifactor GAM model could be well characterized aerosol hygroscopic parameter κ variation(passed the significance test of α=0.001). As to the above four haze conditions, the corresponding adjusted coefficients of determination(R2)were 0.303, 0.488, 0.504 and 0.631, the coefficients of determination(R2)for the regression of the pressure axis were 0.327, 0.517, 0.558 and 0.739, and the residual sum of squares(RSS)were 1.448, 0.721, 0.209, and 0.025, respectively. The above study revealed the complexity of the multifactorial influence on aerosol hygroscopic parameter κ, and further clarified the intrinsic connection between aerosol hygroscopicity and haze evolution.

aerosol  /  hygroscopicity parameter  /  haze intensities  /  GAM model  /  Chengdu
Jia-yuan MI, Ye DENG, Xin-yi LI, Jing-zhe TONG, Na LI, Chang-jian NI. Multifactorial impact analysis of aerosol hygroscopic parameters during haze process[J]. China Environmental Science, 2025 , 45 (3) : 1210 -1217 .
Year 2025 volume 45 Issue 3
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Article Info
  • Receive Date:2024-08-06
  • Online Date:2026-03-18
  • Published:2025-03-20
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  • Received:2024-08-06
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Affiliations
    1.College of Atmospheric Science, Chengdu University of Information Technology, Chengdu 610225, China
    2.Jilin Meteorological Information Network Center, Changchun 130062, China
    3.Chengdu Academy of Environmental Sciences, Chengdu 610072, China
    4.Chengdu Meteorological Service, Chengdu 611130, China
    5.Liaoning Provincial Meteorological Equipment Support Center, Shenyang 110166, China
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表12种不同金属材料的力学参数

Family
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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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