Ms. Shumei Deng Profile

Shumei Deng

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Proceedings Article | 11 October 2024 Paper

Aerosol extinction hygroscopic growth proxy based on visibility in Hefei during the winter

Kun Zhang, Shumei Deng, Qiang Zhao, Changyu Liu, Jun Chen

Proceedings Volume 13278, 132780G (2024) https://doi.org/10.1117/12.3032203

KEYWORDS: Aerosols, Atmospheric modeling, Atmospheric particles, Visibility, Relative humidity, Optical properties

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Aerosol extinction hygroscopic growth is one of the important parameters to characterize the hygroscopic properties of aerosols, as well as explore the environmental effects of aerosols and evaluate air quality. In this paper, the variation characteristics of aerosol extinction factor, atmospheric visibility (VIS) and relative humidity (RH) were analyzed based on the measurements in Hefei during winter (from December 2021 to January 2022). It is shown that the aerosol extinction coefficient (VIS) is positively (negatively) correlated with RH, especially in high-RH environments where the extinction coefficient (VIS) is extremely high (extremely low). Based on four commonly used empirical parameterization schemes of aerosol extinction hygroscopic growth factor, an empirical model of aerosol extinction hygroscopic growth factor for winter in Hefei is presented. There is no significant difference in the parameterization results of the four models, which are able to express the variation characteristics of aerosol extinction hygroscopic growth with RH, but the simulations of the four models are higher than the observations in high-RH environment.

Proceedings Article | 30 April 2024 Paper

Spatiotemporal variation of surface energy flux in Hefei City based on multi-spectral data

Changyu Liu, Tao Luo, Shumei Deng, Xuebin Ma, Kaixuan Yang

Proceedings Volume 13157, 131570E (2024) https://doi.org/10.1117/12.3015344

KEYWORDS: Data modeling, Heat flux, Air temperature, Surface air temperature, Solar radiation models, Remote sensing, Reflectivity

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MODIS data and SEBS model were used to estimate the surface energy flux in Hefei City from March to December 2021. Verified by comparison with the EC measured values, and the sensitivity analysis of each parameter in the model was carried out. The results show that the net radiation flux(Rn) is the highest in September and the lowest in December. The Rn of water body is the highest, and urban area is the lowest. There was little correlation between soil heat flux(G) and seasonal variation. The main urban area and water body were higher, while the G was lower in the area with high vegetation coverage. The sensible heat flux(H) is obviously affected by the seasons, and the average H in December is the lowest, and even negative. Compared with the measured value, the average absolute error is 9W/m², and the average relative error is 7%. The latent heat flux(LE) average absolute error between the inversion value and the measured value is 97W/m², and the average relative error is 25.9%. The LE is relatively small in the main urban area, and relatively large in the area with high vegetation coverage. Sensitivity analysis of the model parameters was shows that the Rn is negatively correlated with the surface reflectance and surface temperature, and the expansion and contraction of air pressure, NDVI and wind speed have no effect on the Rn, G was negatively correlated with NDVI. Surface temperature and air temperature have the greatest influence on H and LE.

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