scholarly journals A novel method for calculating ambient aerosol liquid water content based on measurements of a humidified nephelometer system

2018 ◽  
Vol 11 (5) ◽  
pp. 2967-2982 ◽  
Author(s):  
Ye Kuang ◽  
Chun Sheng Zhao ◽  
Gang Zhao ◽  
Jiang Chuan Tao ◽  
Wanyun Xu ◽  
...  

Abstract. Water condensed on ambient aerosol particles plays significant roles in atmospheric environment, atmospheric chemistry and climate. Before now, no instruments were available for real-time monitoring of ambient aerosol liquid water contents (ALWCs). In this paper, a novel method is proposed to calculate ambient ALWC based on measurements of a three-wavelength humidified nephelometer system, which measures aerosol light scattering coefficients and backscattering coefficients at three wavelengths under dry state and different relative humidity (RH) conditions, providing measurements of light scattering enhancement factor f(RH). The proposed ALWC calculation method includes two steps: the first step is the estimation of the dry state total volume concentration of ambient aerosol particles, Va(dry), with a machine learning method called random forest model based on measurements of the “dry” nephelometer. The estimated Va(dry) agrees well with the measured one. The second step is the estimation of the volume growth factor Vg(RH) of ambient aerosol particles due to water uptake, using f(RH) and the Ångström exponent. The ALWC is calculated from the estimated Va(dry) and Vg(RH). To validate the new method, the ambient ALWC calculated from measurements of the humidified nephelometer system during the Gucheng campaign was compared with ambient ALWC calculated from ISORROPIA thermodynamic model using aerosol chemistry data. A good agreement was achieved, with a slope and intercept of 1.14 and −8.6 µm3 cm−3 (r2 = 0.92), respectively. The advantage of this new method is that the ambient ALWC can be obtained solely based on measurements of a three-wavelength humidified nephelometer system, facilitating the real-time monitoring of the ambient ALWC and promoting the study of aerosol liquid water and its role in atmospheric chemistry, secondary aerosol formation and climate change.

2017 ◽  
Author(s):  
Ye Kuang ◽  
Chunsheng Zhao ◽  
Gang Zhao ◽  
Jiangchuan Tao ◽  
Nan Ma ◽  
...  

Abstract. Water condensed on ambient aerosol particles plays significant roles in atmospheric environment, atmospheric chemistry and climate. So far, no instruments are available for real-time monitoring of ambient aerosol liquid water contents (ALWC). In this paper, a novel method is proposed to calculate ambient ALWC based on measurements of a three-wavelength humidified nephelometer system. A humidified nephelometer system measures aerosol light scattering coefficients and backscattering coefficients at three wavelengths under dry and different relative humidity (RH) conditions, and therefore provides measurements of light scattering enhancement factor f(RH). The proposed method of calculating ALWC includes two steps. The first step is estimating total volume concentration of ambient aerosol particles in dry state (Va (dry)) with a machine learning method based on measurements of the “dry” nephelometer. The estimated Va (dry) agrees well with the measured Va (dry). The second step is estimating the volume growth factor Vg(RH) of ambient aerosol particles due to water uptake using f(RH) and Ångström exponent. The ALWC is calculated from the estimated Va (dry) and Vg(RH). Uncertainty analysis of the estimated Va (dry) and Vg(RH) is conducted. This research have bridged the gap between f(RH) and Vg(RH). The advantage of this new method is that the ambient ALWC can be obtained using only measurements from a three-wavelength humidified nephelometer system. This method will facilitate the real-time monitoring of the ambient ALWC and help for studying roles of aerosol liquid water in atmospheric chemistry, secondary aerosol formation and climate change.


2015 ◽  
Author(s):  
James Johnstone ◽  
Brita Peltokoski ◽  
Susanna Toivonen ◽  
Rick Griffin ◽  
Michael Hurd ◽  
...  

2019 ◽  
Vol 9 (4) ◽  
pp. 276
Author(s):  
Qizheng Liu ◽  
qiang Guo ◽  
Zichao Lin ◽  
Bin Shen

1998 ◽  
Author(s):  
You-qing Wang ◽  
Chengwu An ◽  
Shuzhong Gao ◽  
Dongsheng Lu

2010 ◽  
Vol 26 (5) ◽  
pp. 533-542 ◽  
Author(s):  
Seo-Jin Kim ◽  
Ho-Seong Kang ◽  
Youn-Suk Son ◽  
Sang-Lyeor Yoon ◽  
Jo-Chun Kim ◽  
...  

2019 ◽  
Vol 68 (7) ◽  
pp. 171-177 ◽  
Author(s):  
Hiroki Harada ◽  
Masataka Omoda ◽  
Shinji Ootsuka ◽  
Takashi Kawano

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