| Título |
Estimation of background PM2.5 concentrations for an air-polluted environment |
| Autores |
Wang, Sheng-Hsiang , Hung, Ruo-Ya , Lin, Neng-Huei , GÓMEZ LOSADA, ALVARO, Pires, Jose C. M. , Shimada, Kojiro , Hatakeyama, Shiro , Takami, Akinori |
| Publicación externa |
Si |
| Medio |
ATMOSPHERIC RESEARCH |
| Alcance |
Article |
| Naturaleza |
Científica |
| Cuartil JCR |
1 |
| Cuartil SJR |
1 |
| Impacto JCR |
5.369 |
| Impacto SJR |
1.488 |
| Fecha de publicacion |
01/01/2020 |
| ISI |
000513178000001 |
| DOI |
10.1016/j.atmosres.2019.104636 |
| Abstract |
The background PM2.5 concentration represents the combined emissions from natural domestic and foreign sources, which has implications for the maximum effect, in terms of air-quality control, that can be achieved by reducing emissions. However, estimating the background PM2.5 concentration via background monitoring sites for a densely populated region (e.g., Taiwan) has been a challenge. In this study, we compared two statistical methods of estimating the background concentration using an 11-year time series (2005-2016) of data from three air-quality stations in Taiwan. The results of two methods showed good agreement for the background PM2.5 concentration estimation, which was about 4.4 mu g m(-3) and comparable to literature reports. According to the trend analysis, the concentration has decreased at a rate of 1-2 mu g m(-3) decade(-1) as a result of better emissions control in East Asia in recent years. Furthermore, the local concentration can exceed the regional background value by up to 5 times due to local emissions, topographic effects, and weather regimes. When considering the cross-county transport of PM2.5, a difference as high as 5 mu g m(-3) exists between two prevailingwind scenarios. This study provides crucial information to policy-makers on setting an achievable and reasonable goal for PM2.5 reduction. |
| Palabras clave |
Air-quality monitoring networks; Background level; Hidden Markov Model; PM2.5 concentration |
| Miembros de la Universidad Loyola |
|
Gestionar cookies