A5111660199- Atmospheric chemistry and aerosols
- Atmospheric aerosols and clouds
- Air Quality and Health Impacts
- Air Quality Monitoring and Forecasting
- Atmospheric Ozone and Climate
- Energy Load and Power Forecasting
- Atmospheric and Environmental Gas Dynamics
- Advanced Battery Materials and Technologies
- Advancements in Battery Materials
- Time Series Analysis and Forecasting
- Remote Sensing in Agriculture
- Advanced Computational Techniques and Applications
- Wind and Air Flow Studies
- Environmental Sustainability and Technology
- Wind Energy Research and Development
- Meteorological Phenomena and Simulations
- Impact of Light on Environment and Health
- Supercapacitor Materials and Fabrication
- Machine Fault Diagnosis Techniques
- Water-Energy-Food Nexus Studies
- Smart Grid and Power Systems
- Water Quality Monitoring Technologies
- AI-based Problem Solving and Planning
Zhengzhou University
2021-2025
Lanzhou University of Technology
2025
Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality
2021-2022
Jinan University
2021-2022
Lanzhou University
2010-2018
Institute of Atmospheric Physics
2016-2018
Chinese Academy of Sciences
2016-2018
Aerosols and their chemical composition exert an influence on the atmospheric environment, global climate, human health. However, obtaining of aerosols with high spatial temporal resolution remains a challenging issue. In this study, using NR-PM1 collected in Beijing area from 2012 to 2013, we found that annual average concentration was 41.32 μg·m−3, largest percentage organics accounting for 49.3% NR-PM1, followed by nitrates, sulfates, ammonium. We then established models aerosol based...
A new method in wind speed prediction based on auto regression (AR) is proposed. The not only takes actual range of predicted value into account but also combines AR with the mean filter waveform. restriction makes more conform to fact, and filtering varies measured curve become smoother, leaving effective data. Applying analyse Anxi China demonstrates that proposed provides a better prediction, it an excellent for farms.
The Gradient Richardson Number (Ri) is an important parameter for appraising the stability and turbulence exchange at atmospheric boundary layer (ABL). However, high-resolution measurements of Ri profiles are rarely reported, especially in megacities. In this study, a Doppler wind lidar microwave radiometer were simultaneously utilized to measure 2 km vertical profile downtown Beijing. These verified have high accuracy compared with observations from 325 m meteorological tower,...
A traditional broadband extinction method is improved by introducing the cloud-screening module and aerosol modal adjustment module, new approach known as optimized (OBEM). Based on OBEM, it could retrieve 500 nm optical depth (AOD) database with use of direct solar radiation. Comparison monthly average AOD from OBEM Chinese Sun Hazemeter Network (CSHNET) for 2006–2010 over Beijing site shows that retrievals observations display a high degree consistency. The correlation equation Y = 1.00X –...
This paper uses back propagation (BP) neural network to modify manual observing system data automatic in wind speed data. First, we prepare six factors which are hours ahead one hour as input The tests indict when these selected, the results better than others. training used for is from 1 Jan 2005 31 Dec 2007. 2004 employed test model. show that proposed method can produce satisfactory modifying After using BP network, modified time series achieves -0.05m/s Mean Bias Error compared For...