| Content Provider |
World Health Organization (WHO)-Global Index Medicus |
| Author |
Liu, Zirui Stanier, Charles O. Saide, Pablo E. Carmichael, Gregory R. Gao, Meng Yu, Man Guttikunda, Sarath K. Wang, Yuesi |
| Spatial Coverage |
China |
| Description |
Author Affiliation: Gao M ( Center for Global and Regional Environmental Research, The University of Iowa, Iowa City, IA 52242, USA. Electronic address: meng-gao@uiowa.edu.); Guttikunda SK ( Division of Atmospheric Sciences, Desert Research Institute, Reno, NV 89512, USA.); Carmichael GR ( Center for Global and Regional Environmental Research, The University of Iowa, Iowa City, IA 52242, USA.); Wang Y ( State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.); Liu Z ( State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.); Stanier CO ( Center for Global and Regional Environmental Research, The University of Iowa, Iowa City, IA 52242, USA.); Saide PE ( Center for Global and Regional Environmental Research, The University of Iowa, Iowa City, IA 52242, USA.); Yu M ( Center for Global and Regional Environmental Research, The University of Iowa, Iowa City, IA 52242, USA) |
| Abstract |
Haze is a serious air pollution problem in China, especially in Beijing and surrounding areas, affecting visibility, public health and regional climate. In this study, the Weather Research and Forecasting-Chemistry (WRF-Chem) model was used to simulate PM2.5 (particulate matters with aerodynamic diameter≤2.5 µm) concentrations during the 2013 severe haze event in Beijing, and health impacts and health-related economic losses were calculated based on model results. Compared with surface monitoring data, the model results reflected pollution concentrations accurately (correlation coefficients between simulated and measured PM2.5 were 0.7, 0.4, 0.5 and 0.6 in Beijing, Tianjin, Xianghe and Xinglong stations, respectively). Health impacts assessments show that the PM2.5 concentrations in January might cause 690 (95% confidence interval (CI): (490, 890)) premature deaths, 45,350 (95% CI: (21,640, 57,860)) acute bronchitis and 23,720 (95% CI: (17,090, 29,710)) asthma cases in Beijing area. Results of the economic losses assessments suggest that the haze in January 2013 might lead to 253.8 (95% CI: (170.2, 331.2)) million US\$ losses, accounting for 0.08% (95% CI: (0.05%, 0.1%)) of the total 2013 annual gross domestic product (GDP) of Beijing. |
| ISSN |
00489697 |
| Volume Number |
511 |
| e-ISSN |
18791026 |
| Journal |
Science of The Total Environment |
| Language |
English |
| Publisher |
Elsevier |
| Publisher Date |
2015-04-01 |
| Publisher Place |
Netherlands |
| Access Restriction |
One Nation One Subscription (ONOS) |
| Subject Keyword |
Air Pollutants Analysis Air Pollution Statistics & Numerical Data Environmental Exposure Economics China Humans Particulate Matter Public Health Journal Article Discipline Environmental Science |
| Content Type |
Text |
| Resource Type |
Article |
| Subject |
Environmental Chemistry Waste Management and Disposal Pollution Environmental Engineering |
