Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-18-6241-2018 |
Detection of critical PM2.5 emission sources and their contributions to a heavy haze episode in Beijing, China, using an adjoint model | |
Zhai, Shixian1; An, Xingqin2,3,4; Zhao, Tianliang1; Sun, Zhaobin5; Wang, Wei6; Hou, Qing2,3,4; Guo, Zengyuan2,3,4; Wang, Chao2,3,4 | |
2018-05-03 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS
![]() |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2018 |
卷号 | 18期号:9页码:6241-6258 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | Air pollution sources and their regional transport are important issues for air quality control. The Global-Regional Assimilation and Prediction System coupled with the China Meteorological Administration Unified Atmospheric Chemistry Environment (GRAPES-CUACE) aerosol adjoint model was applied to detect the sensitive primary emission sources of a haze episode in Beijing occurring between 19 and 21 November 2012. The high PM2.5 concentration peaks occurring at 05:00 and 23:00 LT (GMT + 8) over Beijing on 21 November 2012 were set as the cost functions for the aerosol adjoint model. The critical emission regions of the first PM2.5 concentration peak were tracked to the west and south of Beijing, with 2 to 3 days of cumulative transport of air pollutants to Beijing. The critical emission regions of the second peak were mainly located to the south of Beijing, where southeasterly moist air transport led to the hygroscopic growth of particles and pollutant convergence in front of the Taihang Mountains during the daytime on 21 November. The temporal variations in the sensitivity coefficients for the two PM2.5 concentration peaks revealed that the response time of the onset of Beijing haze pollution from the local primary emissions is approximately 1-2 h and that from the surrounding primary emissions it is approximately 7-12 h. The upstream Hebei province has the largest impact on the two PM2.5 concentration peaks, and the contribution of emissions from Hebei province to the first PM2.5 concentration peak (43.6 %) is greater than that to the second PM2.5 concentration peak (41.5 %). The second most influential province for the 05:00 LT PM2.5 concentration peak is Beijing (31.2 %), followed by Shanxi (9.8 %), Tianjin (9.8 %), and Shandong (5.7 %). The second most influential province for the 23:00 LT PM2.5 concentration peak is Beijing (35.7 %), followed by Shanxi (8.1 %), Shandong (8.0 %), and Tianjin (6.7 %). The adjoint model results were compared with the forward sensitivity simulations of the Models-3/CMAQ system. The two modeling approaches are highly comparable in their assessments of atmospheric pollution control schemes for critical emission regions, but the adjoint method has higher computational efficiency than the forward sensitivity method. The results also imply that critical regional emission reduction could be more efficient than individual peak emission control for improving regional PM2.5 air quality. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000431367200008 |
WOS关键词 | AIR-QUALITY MODELS ; JING-JIN-JI ; PARTICULATE MATTER ; POLLUTION CONTROL ; NORTH CHINA ; GEOS-CHEM ; REGION ; TRANSPORT ; AEROSOLS ; CITIES |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/30353 |
专题 | 地球科学 |
作者单位 | 1.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Key Lab Aerosol Cloud Precipitat China Meteorol A, Nanjing 210044, Jiangsu, Peoples R China; 2.Chinese Acad Meteorol Sci, Inst Atmospher Composit, Beijing 100081, Peoples R China; 3.Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China; 4.Chinese Acad Meteorol Sci, Key Lab Atmospher Chem CMA, Beijing 100081, Peoples R China; 5.China Meteorol Adm, Inst Urban Meteorol, Beijing 100089, Peoples R China; 6.China Natl Environm Monitoring Ctr, Beijing 100012, Peoples R China |
推荐引用方式 GB/T 7714 | Zhai, Shixian,An, Xingqin,Zhao, Tianliang,et al. Detection of critical PM2.5 emission sources and their contributions to a heavy haze episode in Beijing, China, using an adjoint model[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2018,18(9):6241-6258. |
APA | Zhai, Shixian.,An, Xingqin.,Zhao, Tianliang.,Sun, Zhaobin.,Wang, Wei.,...&Wang, Chao.(2018).Detection of critical PM2.5 emission sources and their contributions to a heavy haze episode in Beijing, China, using an adjoint model.ATMOSPHERIC CHEMISTRY AND PHYSICS,18(9),6241-6258. |
MLA | Zhai, Shixian,et al."Detection of critical PM2.5 emission sources and their contributions to a heavy haze episode in Beijing, China, using an adjoint model".ATMOSPHERIC CHEMISTRY AND PHYSICS 18.9(2018):6241-6258. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论