Tianfeng Chai
Biographic Data
| ID | 7995324 |
|---|---|
| NAME | Tianfeng Chai |
| GIVEN NAMES | Tianfeng |
| FAMILY NAME | Chai |
| SIGNATURE | CHAI T |
| AFFILIATIONS | University of Maryland, College Park |
| ORCID | 0000-0003-3520-2641 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 0 |
Elucidating emissions control strategies for ozone to protect human health and public welfare within the continental United States
Ground-level ozone, which forms photochemically in the atmosphere from precursor emissions of oxides of nitrogen (NO x ) and volatile organic compounds, is a criteria pollutant that harms human health and public welfare. For a representative summer episode, premature mortality and potential productivity losses (PPLs) of selected crops and trees attributable to ozone exposure have been quantified using ozone fields from the Community Multiscale Ai…
Reply to Comment on ‘Premature deaths attributed to source-specific BC emissions in six urban US regions’
LAPI
Premature deaths attributed to source-specific BC emissions in six urban US regions
Recent studies have shown that exposure to particulate black carbon (BC) has significant adverse health effects and may be more detrimental to human health than exposure to PM2.5 as a whole. Mobile source BC emission controls, mostly on diesel-burning vehicles, have successfully decreased mobile source BC emissions to less than half of what they were 30 years ago. Quantification of the benefits of previous emissions controls conveys the value of …
Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature
Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that the RMSE is not a good indicator of average model performance and might be a misleading indicator of average error, and thus the MAE would be a better metric for that purpose. While some concerns over using RMSE raised by Willmott and Matsuura (2005) and Willmott et al. (2009…
No prominent works on this page.
Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature
Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that the RMSE is not a good indicator of average model performance and might be a misleading indicator of average error, and thus the MAE would be a better metric for that purpose. While some concerns over using RMSE raised by Willmott and Matsuura (2005) and Willmott et al. (2009…
Premature deaths attributed to source-specific BC emissions in six urban US regions
Recent studies have shown that exposure to particulate black carbon (BC) has significant adverse health effects and may be more detrimental to human health than exposure to PM2.5 as a whole. Mobile source BC emission controls, mostly on diesel-burning vehicles, have successfully decreased mobile source BC emissions to less than half of what they were 30 years ago. Quantification of the benefits of previous emissions controls conveys the value of …
Reply to Comment on ‘Premature deaths attributed to source-specific BC emissions in six urban US regions’
LAPI
Elucidating emissions control strategies for ozone to protect human health and public welfare within the continental United States
Ground-level ozone, which forms photochemically in the atmosphere from precursor emissions of oxides of nitrogen (NO x ) and volatile organic compounds, is a criteria pollutant that harms human health and public welfare. For a representative summer episode, premature mortality and potential productivity losses (PPLs) of selected crops and trees attributable to ozone exposure have been quantified using ozone fields from the Community Multiscale Ai…
Air Quality and Health Impacts (3 works) · Atmospheric chemistry and aerosols (3 works) · Environmental Science (3 works) · Air pollution (2 works) · Air quality index (2 works) · Atmospheric sciences (2 works) · CMAQ (2 works) · Environmental health (2 works) · Geography (2 works) · Medicine (2 works)