A regional data assimilation system for estimating CO surface flux from atmospheric mixing ratio observations-a case study of Xuzhou, China
文献类型：期刊论文
| 作者 | Lu, Lijiang1; Chen, Baozhang1,2,3 ; Guo, Lifeng2,3; Zhang, Huifang2,3; Li, Yanpeng1
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| 刊名 | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
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| 出版日期 | 2019-03-01 |
| 卷号 | 26期号:9页码:8748-8757 |
| 关键词 | Regional data assimilation system Four-dimensional variational assimilation (4D-VAR) Proper orthogonal decomposition (POD) Carbon monoxide (CO) emissions |
| ISSN号 | 0944-1344 |
| DOI | 10.1007/s11356-019-04246-7 |
| 通讯作者 | Chen, Baozhang(baozhang.chen@igsnrr.ac.cn) |
| 英文摘要 | Carbon monoxide (CO) emission inventory data are crucial for air quality control. However, the emission inventories are labor-intensive and time-consuming and generally have large uncertainties. In this study, we developed a new regional data assimilation system (TracersTracker) for estimating the surface CO emission flux from continuous mixing ratio observations using the proper orthogonal decomposition (POD)-based four-dimensional variational (4D-VAR) data assimilation method (POD-4DVar) and a coupled regional model (Weather Research and Forecasting model (WRF) with the Models-3 Community Multi-scale Air Quality (CMAQ) model). This system was applied to estimate CO emissions in Xuzhou city, China. An experiment was conducted with the continuous hourly surface CO mixing ratio observations from 21 monitoring towers in January and July of 2016. The experimental results of the system were examined and compared with the continuous surface CO observations (a priori emission). We found that the retrieved CO emission fluxes were higher than the a priori emission and were mainly distributed in urban and industrial areas, which were 104% higher in January (winter) and 44% higher in July (summer). |
| WOS关键词 | VARIATIONAL DATA ASSIMILATION ; EMISSION INVENTORY ; ADJOINT ; OZONE ; HEALTH ; MODEL |
| 资助项目 | Chinese Academy of Sciences[131A11KYSB20170025] ; State Key Laboratory of Resources and Environment Information System[O88RA901YA] ; National Natural Science Foundation of China[41771114] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000464851100034 |
| 出版者 | SPRINGER HEIDELBERG |
| 资助机构 | Chinese Academy of Sciences ; State Key Laboratory of Resources and Environment Information System ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/48255]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Chen, Baozhang |
| 作者单位 | 1.China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Xuzhou 221116, Jiangsu, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, 19A,Yuquan Rd, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lu, Lijiang,Chen, Baozhang,Guo, Lifeng,et al. A regional data assimilation system for estimating CO surface flux from atmospheric mixing ratio observations-a case study of Xuzhou, China[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2019,26(9):8748-8757. |
| APA | Lu, Lijiang,Chen, Baozhang,Guo, Lifeng,Zhang, Huifang,&Li, Yanpeng.(2019).A regional data assimilation system for estimating CO surface flux from atmospheric mixing ratio observations-a case study of Xuzhou, China.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,26(9),8748-8757. |
| MLA | Lu, Lijiang,et al."A regional data assimilation system for estimating CO surface flux from atmospheric mixing ratio observations-a case study of Xuzhou, China".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 26.9(2019):8748-8757. |
入库方式： OAI收割
来源：地理科学与资源研究所
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