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Jianguo Liu

Researcher at Chinese Academy of Sciences

Publications -  193
Citations -  1998

Jianguo Liu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Catalysis & Chemistry. The author has an hindex of 20, co-authored 168 publications receiving 1273 citations. Previous affiliations of Jianguo Liu include University of Science and Technology of China & Hefei Institutes of Physical Science.

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Satellite UV-Vis spectroscopy: implications for air quality trends and their driving forces in China during 2005-2017.

TL;DR: Although meteorological parameters, such as wind, water vapor, solar radiation and temperature, mainly dominated the day-to-day and seasonal fluctuations in air pollutants, anthropogenic emissions played a unique role in the long-term variation in the ambient concentrations of NO2, SO2, and HCHO in the past 13 years.
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Haze insights and mitigation in China: an overview.

TL;DR: An overview of the chemical and physical features of haze in China is provided, focusing on the relationship between haze and atmospheric fine particles, and the formation mechanism of haze, and several of control technologies and strategies to mitigate the occurrence of haze are summarized.
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Atmosphere boundary layer height and its effect on air pollutants in Beijing during winter heavy pollution

TL;DR: In this paper, the authors analyzed the characteristics of the ABL in Beijing and discussed the impacts of meteorological factors on atmosphere boundary layer height (ABLH) during winter heavy pollution events in Beijing.
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Identification of long-range transport pathways and potential sources of PM2.5 and PM10 in Beijing from 2014 to 2015.

TL;DR: The cluster analyses showed that Beijing was affected by trajectories from the south and southeast in summer and autumn and by high altitude air masses in winter and spring, and more effective regional emission reduction measures in Beijing's surrounding provinces should be implemented to reduce emissions of regional sources in different seasons.
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Composition analysis of colored dissolved organic matter in Taihu Lake based on three dimension excitation-emission fluorescence matrix and PARAFAC model, and the potential application in water quality monitoring.

TL;DR: Using parallel factor analysis (PARAFAC) model, three components of colored dissolved organic matter (CDOM) have been identified successfully, based on the analysis of 3DEEM data, and the relationship between the concentrations of the three components and results of the wet chemical analysis show that none of them can be used as indicators of gross organic matter in water.