气候变化领域集成服务门户(CCPortal): A new inverse modeling approach for emission sources based on the DDM-3D and 3DVAR techniques: An application to air quality forecasts in the Beijing-Tianjin-Hebei region

CCPortal

DOI	10.5194/acp-21-13747-2021
	A new inverse modeling approach for emission sources based on the DDM-3D and 3DVAR techniques: An application to air quality forecasts in the Beijing-Tianjin-Hebei region
	Cheng X.; Hao Z.; Zang Z.; Liu Z.; Xu X.; Wang S.; Liu Y.; Hu Y.; Ma X.
发表日期	2021
ISSN	1680-7316
起始页码	13747
结束页码	13761
卷号	21 期号:18
英文摘要	We develop a new inversion method which is suitable for linear and nonlinear emission source (ES) modeling, based on the three-dimensional decoupled direct (DDM-3D) sensitivity analysis module in the Community Multiscale Air Quality (CMAQ) model and the three-dimensional variational (3DVAR) data assimilation technique. We established the explicit observation operator matrix between the ES and receptor concentrations and the background error covariance (BEC) matrix of the ES, which can reflect the impacts of uncertainties of the ES on assimilation. Then we constructed the inversion model of the ES by combining the sensitivity analysis with 3DVAR techniques. We performed the simulation experiment using the inversion model for a heavy haze case study in the Beijing-Tianjin-Hebei (BTH) region during 27-30 December 2016. Results show that the spatial distribution of sensitivities of SO2 and NOx ESs to their concentrations, as well as the BEC matrix of ES, is reasonable. Using an a posteriori inversed ES, underestimations of SO2 and NO2 during the heavy haze period are remarkably improved, especially for NO2. Spatial distributions of SO2 and NO2 concentrations simulated by the constrained ES were more accurate compared with an a priori ES in the BTH region. The temporal variations in regionally averaged SO2, NO2, and O3 modeled concentrations using an a posteriori inversed ES are consistent with in situ observations at 45 stations over the BTH region, and simulation errors decrease significantly. These results are of great significance for studies on the formation mechanism of heavy haze, the reduction of uncertainties of the ES and its dynamic updating, and the provision of accurate "virtual"emission inventories for air-quality forecasts and decision-making services for optimization control of air pollution. © 2021 Xinghong Cheng et al.
语种	英语
scopus关键词	air quality; concentration (composition); data assimilation; emission; haze; inverse problem; numerical model; optimization; sensitivity analysis; spatial distribution; vector autoregression; Beijing [China]; China; Hebei; Tianjin
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/246580
作者单位	State Key Lab of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, 100081, China; Institute of Meteorology and Oceanography, National University of Defense Technology, Nanjing, 211101, China; National Center for Atmospheric Research, Boulder, CO, United States; GZ Source Clear Tech. Co. Ltd., Guangzhou, 510630, China; College of Architecture and Environment, Sichuan University, Chengdu, 610065, China; Nanjing University of Information Science and Technology, Nanjing, 210044, China
推荐引用方式 GB/T 7714	Cheng X.,Hao Z.,Zang Z.,et al. A new inverse modeling approach for emission sources based on the DDM-3D and 3DVAR techniques: An application to air quality forecasts in the Beijing-Tianjin-Hebei region[J],2021,21(18).
APA	Cheng X..,Hao Z..,Zang Z..,Liu Z..,Xu X..,...&Ma X..(2021).A new inverse modeling approach for emission sources based on the DDM-3D and 3DVAR techniques: An application to air quality forecasts in the Beijing-Tianjin-Hebei region.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(18).
MLA	Cheng X.,et al."A new inverse modeling approach for emission sources based on the DDM-3D and 3DVAR techniques: An application to air quality forecasts in the Beijing-Tianjin-Hebei region".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.18(2021).