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, Xinghong; Hao, Zilong; Zang, Zengliang; Liu, Zhiquan; Xu, Xiangde; Wang, Shuisheng; Liu, Yuelin; Hu, Yiwen; Ma, Xiaodan

doi:https://doi.org/10.5194/acp-21-13747-2021

Articles | Volume 21, issue 18

https://doi.org/10.5194/acp-21-13747-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-21-13747-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 18

Research article

|

16 Sep 2021

Research article |

| 16 Sep 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

Xinghong Cheng, Zilong Hao, Zengliang Zang, Zhiquan Liu, Xiangde Xu, Shuisheng Wang, Yuelin Liu, Yiwen Hu, and Xiaodan Ma

Data sets

NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999 National Center for Atmospheric Research https://doi.org/10.5065/D6M043C6

SO2, NO2, and O3 measurements China National Environmental Monitoring Centre (CNEMC) http://www.cnemc.cn/en/

Short summary

We develop a new inversion method of emission sources based on sensitivity analysis and the three-dimension variational technique. The novel explicit observation operator matrix between emission sources and the receptor’s concentrations is established. Then this method is applied to a typical heavy haze episode in North China, and spatiotemporal variations of SO₂, NO₂, and O₃ concentrations simulated using a posterior emission sources are compared with results using an a priori inventory.