Fuzhen Shen
Biographic Data
| ID | 10015149 |
|---|---|
| NAME | Fuzhen Shen |
| GIVEN NAMES | Fuzhen |
| FAMILY NAME | Shen |
| SIGNATURE | SHEN F |
| AFFILIATIONS | Forschungszentrum Jülich |
| ORCID | 0000-0003-0817-3259 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Toward healthy air quality under CMIP6 scenarios
Ambient PM 2.5 and O 3 pollution remain major threats to public health, especially under the more stringent 2021 World Health Organization Air Quality Guidelines (WHO AQGs). We develop an integrated framework that combines bias-corrected CMIP6 simulations of PM 2.5 and O 3 during 2015–2100 under three representative concentration pathways (SSP-RCPs) with the Air Quality Index (AQI) and the Health-based Air Quality Index (HAQI). Using the WHO guid…
Characteristics, health risks, and premature mortality attributable to ambient air pollutants in four functional areas in Jining, China
Air pollution is one of the leading causes for global deaths and understanding pollutant emission sources is key to successful mitigation policies. Air quality data in the urban, suburban, industrial, and rural areas (UA, SA, IA, and RA) of Jining, Shandong Province in China, were collected to compare the characteristics and associated health risks. The average concentrations of PM 2.5 , PM 10 , SO 2 , NO 2 , and CO show differences of −3.87, −16…
No prominent works on this page.
Characteristics, health risks, and premature mortality attributable to ambient air pollutants in four functional areas in Jining, China
Air pollution is one of the leading causes for global deaths and understanding pollutant emission sources is key to successful mitigation policies. Air quality data in the urban, suburban, industrial, and rural areas (UA, SA, IA, and RA) of Jining, Shandong Province in China, were collected to compare the characteristics and associated health risks. The average concentrations of PM 2.5 , PM 10 , SO 2 , NO 2 , and CO show differences of −3.87, −16…
Toward healthy air quality under CMIP6 scenarios
Ambient PM 2.5 and O 3 pollution remain major threats to public health, especially under the more stringent 2021 World Health Organization Air Quality Guidelines (WHO AQGs). We develop an integrated framework that combines bias-corrected CMIP6 simulations of PM 2.5 and O 3 during 2015–2100 under three representative concentration pathways (SSP-RCPs) with the Air Quality Index (AQI) and the Health-based Air Quality Index (HAQI). Using the WHO guid…
Air pollutants (2 works) · Air pollution (2 works) · Air Quality and Health Impacts (2 works) · Air quality index (2 works) · Atmospheric chemistry and aerosols (2 works) · China (2 works) · Air Quality Monitoring and Forecasting (1 work) · Biology (1 work) · Chemistry (1 work) · COVID-19 impact on air quality (1 work)