Case study of the relationship between aerosol Ångström exponent and relative humidity

被引：1
作者：
Bo, Guangyu [1 ]
Xie, Chenbo [1 ]
Wang, Bangxin [1 ]
Wu, Decheng [1 ]
Zhong, Zhiqing [1 ]
机构：
[1] Key Laboratory of Atmospheric Composition and Optical Radiation, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, 230031, Anhui
来源：
Zhongguo Jiguang/Chinese Journal of Lasers | 2015年 / 42卷 / 07期
关键词：
Aerosol; Angstrom exponent; Atomspheric optics; Correlation analysis; Lidar; Relative humidity;
D O I：
10.3788/CJL201542.0713002
中图分类号：
学科分类号：
摘要：
In order to determine the relative humidity (RH) impact on the aerosol Ångström exponent (AE), a twowavelength lidar is employed to observe the aerosol AE, two typical case studies have been given at Hefei area based on the wind direction, one represents pollution aerosol case, and the other represents rural aerosol case. The result indicates that during the two cases the RH has a strong effect on the variety of the AE, but totally different correlation between the two parameters can be found. During the rural case, the RH is between 49.2%~91.9%, the AE is between 0.75~1.98, and the AE of the pollution case is between 0.2~1.56 when the RH changed between 58.7%~96.0%. The pollution case presents a negative correlation between the RH and the AE, due to the aerosol hydrophilic growth with a Junge distribution. It is noteworthy that the rural case presents a positive correlation between the RH and the AE, the cause of this phenomenon is probably that particle size distribution is multimodal distribution composed of fine particles and coarse particles of dust pollution. ©, 2015, Science Press. All right reserved.
引用
收藏
页数：6
相关论文
共 13 条
  • [1] Wagner F., Silva A.M., Some considerations about Ångström exponent distributions, Atmos Chem Phys Discuss, 7, pp. 12781-12805, (2007)
  • [2] Kaskaoutis D.G., Kambezidis H.D., Hatzianastassiou N., Et al., Aerosol climatology: dependence of the Ångström exponent on wavelength over four AERONET sites, Atmos Chem Phys Discuss, 7, pp. 7347-7397, (2007)
  • [3] Mona L., Amodeo A., D'Amico G., Et al., Multi-wavelength Raman lidar observations of the Eyjafjallajökull volcanic cloud over Potenza, southern Italy, Atmos Chem Phys, 12, 4, pp. 2229-2244, (2012)
  • [4] Schuster G.L., Dubovik O., Holben B.N., Ångström exponent and bimodal aerosol size distributions, J Geophys Res, 111, D7, pp. 1-14, (2006)
  • [5] Loeb N.G., Schuster G.L., An observational study of the relationship between cloud, aerosol and meteorology in broken low-level cloud conditions, J Geophys Res, 113, (2008)
  • [6] Koren I., Remer L.A., Kaufman Y.J., Et al., On the twilight zone between clouds and aerosols, Geophysical Research Letters, 34, 8, (2007)
  • [7] Su W., Schuster G.L., Loeb N.G., Et al., Aerosol and cloud interaction observed from high spectral resolution lidar data, J Geophys Res, 113, D24, (2008)
  • [8] Varnai T., Marshak A., Global CALIPSO observations of aerosol changes near clouds, IEEE Geoscience and Remote Sensing Letters, 8, 1, pp. 19-23, (2011)
  • [9] Bo G., Liu D., Wang B., Et al., Two-wavelength polarization airborne lidar for observation of aerosol and cloud, Chinese J Lasers, 39, 10, (2012)
  • [10] Zhang G., Zhang Y., Hu S., Et al., Slant measurements of atmospheric boundary layer aerosol with mobile lidar, Acta Optica Sinica, 24, 8, pp. 1015-1019, (2004)
12