A5100336793- Air Quality and Health Impacts
- Atmospheric chemistry and aerosols
- Climate Change and Health Impacts
- Air Quality Monitoring and Forecasting
- Remote Sensing and Land Use
- Environmental Quality and Pollution
- Vehicle emissions and performance
- Environmental Changes in China
- Energy, Environment, Economic Growth
- Land Use and Ecosystem Services
- Energy and Environment Impacts
- Environmental Impact and Sustainability
- Cryospheric studies and observations
- Psoriasis: Treatment and Pathogenesis
- Skin Protection and Aging
- Groundwater and Isotope Geochemistry
- Atmospheric aerosols and clouds
- Environmental and Agricultural Sciences
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Heavy metals in environment
- Hydrology and Watershed Management Studies
- Toxic Organic Pollutants Impact
- Atmospheric and Environmental Gas Dynamics
- Atmospheric Ozone and Climate
Peking University
2016-2025
China University of Mining and Technology
2009-2025
Xidian University
2025
National Health and Family Planning Commission
2024-2025
Guangxi Institute of Botany
2025
Guangxi Medical University
2025
Guangxi University
2025
Guangzhou Medical University
2018-2024
Ministry of Agriculture and Rural Affairs
2023-2024
Citrus Research Institute
2020-2024
This paper introduces a novel measure of the energy transition, i.e., green quality mix (GREENQ) across Organisation for Economic Co-operation and Development (OECD) countries. Then, examines impact GREENQ on CO2 emissions in panel dataset 36 OECD countries from 1970 to 2021. The explanatory variables include per capita income, institutional technology. Long-run data estimations indicate that technology increase emissions. evidence is negatively related level These findings are robust employ...
Abstract. Ambient volatile organic compounds (VOCs) were measured using an online system, gas chromatography–mass spectrometry/flame ionization detector (GC-MS/FID), in Beijing, China, before, during, and after Asia-Pacific Economic Cooperation (APEC) China 2014, when stringent air quality control measures implemented. Positive matrix factorization (PMF) was applied to identify the major VOC contributing sources their temporal variations. The secondary aerosols potential (SOAP) approach used...
Vegetation phenology is a sensitive indicator that reflects the vegetation–atmosphere interactions and vegetation processes under global atmospheric changes. Fast-developing remote sensing technologies monitor land surface at high spatial temporal resolutions have been widely used in retrieval analysis large scale. While researchers developed many retrieving methods based on data, relationships differences among are unclear, there lack of evaluation comparison with field recoding data. In...
Iraq and Kuwait are in a region of the world known to be impacted by high levels fine particulate matter (PM2.5) attributable sources that include desert dust ambient pollution, but historically have had limited pollution monitoring networks. The inability assess PM2.5 concentrations assessment health impact these exposures, both native populations previously deployed military personnel. As part Department Veterans Affairs Cooperative Studies Program study land-based U.S. personnel who were...
Growing evidence has linked fine particulate matter (PM2.5) exposure to elevated blood pressure, but the effects of PM2.5 components are unclear, particularly in children and adolescents. Based on a cross-sectional investigation China, we analyzed associations between long-term its major with pressure A representative sample (N = 37,610) adolescents age 7–18 years was collected seven Chinese provinces. Exposures five components, including black carbon (BC), organic (OM), inorganic nitrate...
Growing evidence has linked long-term fine particulate matter (PM2.5) exposure to neurological disorders. Less is known about the individual effects of PM2.5 components. A population-based cohort study investigated association between (1-year average) components and dementia incidence among elderly population (age, ≥65 years) in United States. We used data from Medicare Chronic Conditions Warehouse a high-resolution dataset northeastern States (2000-2017). identified diagnoses patients'...
Abstract. Ambient fine particulate matter (PM2.5) pollution is a major health risk. Networks of low-cost sensors (LCS) are increasingly being used to understand local-scale air variation. However, measurements from LCS have uncertainties that can act as potential barrier effective decision making. data thus need adequate calibration obtain good quality PM2.5 estimates. In order develop factors, one or more typically co-located with reference monitors for short long periods time. A model then...