| Title | Assessing Beijing's PM2.5 pollution: severity, weather impact, APEC and winter heating |
| Authors | Liang, Xuan Zou, Tao Guo, Bin Li, Shuo Zhang, Haozhe Zhang, Shuyi Huang, Hui Chen, Song Xi |
| Affiliation | Peking Univ, Guanghua Sch Management, Beijing 100871, Peoples R China. Peking Univ, Ctr Stat Sci, Beijing 100871, Peoples R China. Peking Univ, Dept Probabil & Stat, Beijing 100871, Peoples R China. Sichuan Univ, Sch Econ, Chengdu 610065, Peoples R China. |
| Keywords | air quality meteorological condition observational study quasi-experiment FINE PARTICULATE MATTER AIR-POLLUTION ADDITIVE-MODELS JANUARY 2013 CHINA SENSITIVITY VARIABLES HEALTH |
| Issue Date | 2015 |
| Publisher | PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES |
| Citation | PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES.2015,471,(2182). |
| Abstract | By learning the PM2.5 readings and meteorological records from 2010-2015, the severity of PM2.5 pollution in Beijing is quantified with a set of statistical measures. As PM2.5 concentration is highly influenced by meteorological conditions, we propose a statistical approach to adjust PM2.5 concentration with respect to meteorological conditions, which can be used to monitor PM2.5 pollution in a location. The adjusted monthly averages and percentiles are employed to test if the PM2.5 levels in Beijing have been lowered since China's State Council set up a pollution reduction target. The results of the testing reveal significant increases, rather than decreases, in the PM2.5 concentrations in the years 2013 and 2014 as compared with those in year 2012. We conduct analyses on two quasi-experiments-the Asia-Pacific Economic Cooperation meeting in November 2014 and the annual winter heating-to gain insight into the impacts of emissions on PM2.5. The analyses lead to a conclusion that a fundamental shift from mainly coal-based energy consumption to much greener alternatives in Beijing and the surrounding North China Plain is the key to solving the PM2.5 problem in Beijing. |
| URI | http://hdl.handle.net/20.500.11897/415779 |
| ISSN | 1364-5021 |
| DOI | 10.1098/rspa.2015.0257 |
| Indexed | SCI(E) EI |
| Appears in Collections: | 光华管理学院 数学科学学院 |
