A5101590999- Air Quality and Health Impacts
- Atmospheric chemistry and aerosols
- Air Quality Monitoring and Forecasting
- Mercury impact and mitigation studies
- Toxic Organic Pollutants Impact
- Terahertz technology and applications
- Advanced Chemical Sensor Technologies
- Plant Water Relations and Carbon Dynamics
- Spectroscopy and Chemometric Analyses
- Plant responses to elevated CO2
- Vehicle emissions and performance
- Atmospheric Ozone and Climate
- Atmospheric aerosols and clouds
- Remote Sensing and Land Use
- Atmospheric and Environmental Gas Dynamics
- Horticultural and Viticultural Research
- Indoor Air Quality and Microbial Exposure
- Meat and Animal Product Quality
- Greenhouse Technology and Climate Control
- COVID-19 impact on air quality
- Radiomics and Machine Learning in Medical Imaging
- Spectroscopy Techniques in Biomedical and Chemical Research
- Hydrology and Watershed Management Studies
- Lung Cancer Diagnosis and Treatment
- Odor and Emission Control Technologies
Chinese Academy of Sciences
2016-2025
Institute of Urban Environment
2016-2025
University of California, Davis
2024
National University of Ireland
2019-2023
University of Nottingham Ningbo China
2022-2023
University College Dublin
2019-2023
Beijing Aerospace Flight Control Center
2015-2020
Research Center for Eco-Environmental Sciences
2011-2012
University of Chinese Academy of Sciences
2011
University of Regina
2001
Volatile organic compounds (VOCs), the precursors of ozone and fine particulate matter, are one atmospheric pollutants harmful to human health. The emission characteristics VOCs in Anyang, a typical industrial city Central Plains China, unclear. To determine level composition local VOCs, this study conducted on-site sampling 20 factories eight key industries. A total 105 VOC species seven categories were observed. concentration emitted from industries order large small was as follows:...
The purpose of this study was for the first time to explore feasibility terahertz (THz) spectral imaging detection gluten contents in food samples. Based on obtained 80 THz spectrum data, Gaussian process regression (GPR) and support vector machine (SVM) models were established predict wheat concentrations 40 potato starch mixture prediction performances GPR SVM R2 = 0.859 RMSE 0.070, 0.715 0.101 concentration range 1.3%-100%, respectively, showing that linear algorithm had better...
Moisture content (MC) is a critical quality indicator for food drying processing, however achieving in-situ non-destructive analyses of dynamic MC products during processing still challenge. This study developed an indirect measurement method using Terahertz time-domain spectroscopy (THz-TDS) real-time prediction foods microwave vacuum (MVD). During MVD, THz-TDS continuously sense the moisture vapour from desiccator through polyethene air hose. The obtained THz spectra were processed to...
Stomatal conductance ( g s ) is a crucial component of plant physiology, as it links productivity and water loss through transpiration. Estimating indirectly leaf temperature T l measurement common for reducing the high labor cost associated with direct measurement. However, relationship between observed can be notably affected by local environmental conditions, canopy structure, scale, sample size, itself. To better understand quantify variation in measurements to , this study analyzed...
Deep learning and multimodal remote proximal sensing are widely used for analyzing plant crop traits, but many of these deep models supervised necessitate reference datasets with image annotations. Acquiring often demands experiments that both labor-intensive time-consuming. Furthermore, extracting traits from data beyond simple geometric features remains a challenge. To address challenges, we proposed radiative transfer modeling framework based on the Helios 3-dimensional (3D) software...