Ms. Nana Liu Profile

Nana Liu

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Publications (3)

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Proceedings Article | 13 December 2024 Paper

Analysis of mixed aerosol environment and optical characteristics based on OPAC

Haoda Yang, Tao Luo, Xiaoqing Wu, Nana Liu, Kun Zhang

Proceedings Volume 13504, 1350408 (2024) https://doi.org/10.1117/12.3046981

KEYWORDS: Aerosols, Optical properties, LIDAR

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Due to the complex sources of aerosols in coastal regions in China. The Optical Properties of Aerosols and Clouds(OPAC) isn’t been able to cover the microphysical and optical properties of coastal mixed aerosols. This research employs an external mixing method to mix the maritime clean aerosols with other aerosol types in different proportions by volume. Four mixed aerosol environments were defined, which are clean marine-average continent environment (SS-CV), clean marine-polluted continent environment (SS-CP), clean marine-urban environment (SS-UR), and clean marine-desert environment (SS-DESERT). Simulation experiments were conducted on the aerosol optical parameters(including extinction coefficient (EXT) and LiDAR ratio (SA)) of these four environments at 550 nm and 1000nmwavelengths, in order to analyze the variation of aerosol optical parameters with relative humidity (RH) and component number density in different mixed environments. The results indicate that EXT of aerosols in the four mixed environments increased with RH in both wavelengths, and EXT of aerosols increased linearly with the number density of components. The variation of SA is influenced by multiple factors such as wavelengths, relative humidity, and Multi factor effects of relative humidity and component number density. For the SS-CV, SS-CP, and SS-UR mixtures, water soluble and accumulation mode sea salts have a greater influence on SA and EXT, while for the SS-DESERT mixture, accumulation mode mineral and mode sea salts particles have a more substantial effect. This study enhances the understanding and prediction of optical property changes in complex aerosol environments near marine regions.

Proceedings Article | 30 April 2024 Paper

Investigation of the optical properties of aerosols over the coastal region at Qingdao

Xuebin Ma, Changyu Liu, Kaixuan Yang, Nana Liu, Tao Luo, Xuebin Li

Proceedings Volume 13157, 131570L (2024) https://doi.org/10.1117/12.3016444

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In order to study the optical properties of aerosols in Qingdao, the temperature, humidity, wind speed and direction, and visibility were measured in Shinan District of Qingdao from 2019 to August 2020, and the seasonal variation characteristics of the optical thickness as well as Angstrom exponent in the area were analyzed using MODIS data. The analysis results found that particulate matter (PM) and relative humidity were the main factors affecting visibility. particulate matter concentration and visibility showed a negative exponential relationship. In the initial stage of PM governance, the improvement in visibility is not significant despite the reduction of particulate matter. However, once the PM concentration reaches a certain level, the improvement in visibility becomes remarkably evident. Analyzing the optical characteristics of Qingdao provides valuable insights into the local pollution control.

Proceedings Article | 24 May 2023 Paper

MERRA-2 AOD product performance in Eastern and Southern China Sea

Shunping Chen, Congming Dai, Nana Liu, Wentao Lian, Cong Zhang, Fan Wu, Heli Wei

Proceedings Volume 12706, 127060Q (2023) https://doi.org/10.1117/12.2682742

KEYWORDS: Aerosols, Correlation coefficients, Analytical research, Matrices, Atmospheric particles, Atmospheric optics, Atmospheric modeling, Ocean optics, Linear regression, Error analysis

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Aerosol optical depth (AOD) is one of the basic parameters used to analyze physical properties of regional aerosols, but the in-situ observation or remote sensing AOD dataset could be scarce especially in ocean area. The Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis has the longest temporal span, and its accuracy in China sea area is to be evaluated. This study provides a validation of MERRA-2 AOD products’ applicability in the eastern and southern China sea based on Aerosol Robotic Network (AERONET). The results indicated that the MERRA-2 AOD with 1-hour temporal resolution agreed with the time averaged AERONET AOD well, for its correlation coefficient is 0.887, root mean square error (RMSE) is 0.096, and mean absolute error (MAE) is 0.056. Presented analysis also revealed a systematic underestimation of AOD that MERRA-2 made, and that deviation tended to increase in higher AOD which demonstrated a slope of -0.26 when utilized linear fitting technics, but the mean bias (MB) of test dataset was only -0.001 because the AOD concentrated on lower than 0.2. These results illustrated the suitability of using MERRA-2 AOD product in aerosol researches of the China sea area.

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