The relationship between atmospheric boundary layer and temperature inversion layer and their aerosol capture capabilities

B Liu, X Ma, Y Ma, H Li, S Jin, R Fan, W Gong - Atmospheric Research, 2022 - Elsevier
The vertical distribution of aerosols is an important factor in the study of urban environment
pollution. However, whether the aerosol is captured by the atmospheric boundary layer or …

[HTML][HTML] Estimating hub-height wind speed based on a machine learning algorithm: implications for wind energy assessment

B Liu, X Ma, J Guo, H Li, S Jin, Y Ma… - … Chemistry and Physics, 2023 - acp.copernicus.org
Accurate estimation of wind speed at wind turbine hub height is of significance for wind
energy assessment and exploitation. Nevertheless, the traditional power law method (PLM) …

Mega Asian dust event over China on 27–31 March 2021 observed with space-borne instruments and ground-based polarization lidar

Y He, F Yi, Z Yin, F Liu, Y Yi, J Zhou - Atmospheric Environment, 2022 - Elsevier
Under the background of global climate change, the frequency of extreme weather events is
ever-increasing. Climatic anomaly in dust source areas and intensive Mongolian cyclones …

Changes in physical and chemical properties of urban atmospheric aerosols and ozone during the COVID-19 lockdown in a semi-arid region

Y Chang, T Du, X Song, W Wang, P Tian, X Guan… - Atmospheric …, 2022 - Elsevier
The synergistic response of urban atmospheric aerosols and ozone (O 3) to reduction of
anthropogenic emissions is complicated and still needs further study. Thus, the changes in …

Machine Learning Predicts Emissions of Brake Wear PM2.5: Model Construction and Interpretation

N Wei, Z Jia, Z Men, C Ren, Y Zhang… - … & Technology Letters, 2022 - ACS Publications
Brake emissions are generated every time a brake is applied to a vehicle. However,
revealing the pattern of brake emissions under different operating conditions is …

Extending the wind profile beyond the surface layer by combining physical and machine learning approaches

B Liu, X Ma, J Guo, R Wen, H Li, S Jin… - Atmospheric …, 2024 - acp.copernicus.org
Accurate estimation of the wind profile, especially in the lowest few hundred meters of the
atmosphere, is of great significance for the weather, climate, and renewable energy sector …

Comprehensive understanding on sources of high levels of fine particulate nitro-aromatic compounds at a coastal rural area in northern China

Y Jiang, X Wang, M Li, Y Liang, Z Liu, J Chen… - journal of environmental …, 2024 - Elsevier
Nitro-aromatic compounds (NACs) are among the major components of brown carbon (BrC)
in the atmosphere, causing negative impacts on regional climate, air quality, and ecological …

Full coverage estimation of the PM concentration across china based on an adaptive spatiotemporal approach

C Lei, X Xu, Y Ma, S Jin, B Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Particulate pollution threatens the ecological environment, air quality, and public health.
Therefore, it has become an increasing concern for the public and governments in recent …

The influence and contribution of fine mode particles to aerosol optical properties during haze events at the foothills of Himalaya-Karakorum region

S Mohyuddin, M Ikram, K Alam, S Bibi, M Ahmad… - Atmospheric …, 2022 - Elsevier
In the last decade, the regional haze is considered as one of the most devastating weathers
which causes serious impacts on air quality, human health, and transportation over the Indo …

Lidar-and UAV-Based Vertical Observation of Spring ozone and particulate matter in Nanjing, China

Y Qu, M Zhao, T Wang, S Li, M Li, M Xie, B Zhuang - Remote Sensing, 2022 - mdpi.com
The rapid urbanization in China is accompanied by increasingly serious air pollution.
Particulate matter and ozone are the main air pollutants, and the study of their vertical …