Journal article
Inverse modeling of SO2 and NOx emissions over China using multisensor satellite data – Part 1: Formulation and sensitivity analysis
Atmospheric chemistry and physics, Vol.20(11), pp.6631-6650
06/01/2020
DOI: 10.5194/acp-20-6631-2020
Abstract
SO2 and NO2 observations from the Ozone Mapping and Profiler Suite (OMPS) sensor are used for the first time in conjunction with the GEOS-Chem adjoint model to optimize both SO2 and NOx emission estimates over China for October 2013. Separate and joint (simultaneous) optimizations of SO2 and NO2 emissions are both conducted and compared. Posterior emissions, compared to the prior, yield improvements in simulating columnar SO2 and NO2 , in comparison to measurements from the Ozone Monitoring Instrument (OMI) and OMPS. The posterior SO2 and NOx emissions from separate inversions are 748 Gg S and 672 Gg N, which are 36 % and 6 % smaller than prior MIX emissions (valid for 2010), respectively. In spite of the large reduction of SO2 emissions over the North China Plain, the simulated sulfate–nitrate–ammonium aerosol optical depth (AOD) only decrease slightly, which can be attributed to (a) nitrate rather than sulfate as the dominant contributor to AOD and (b) replacement of ammonium sulfate with ammonium nitrate as SO2 emissions are reduced. For joint inversions, both data quality control and the weight given to SO2 relative to NO2 observations can affect the spatial distributions of the posterior emissions. When the latter is properly balanced, the posterior emissions from assimilating OMPS SO2 and NO2 jointly yield a difference of −3 % to 15 % with respect to the separate assimilations for total anthropogenic SO2 emissions and ± 2 % for total anthropogenic NOx emissions; but the differences can be up to 100 % for SO2 and 40 % for NO2 in some grid cells. Improvements on SO2 and NO2 simulations from the joint inversions are overall consistent with those from separate inversions. Moreover, the joint assimilations save ∼ 50 % of the computational time compared to assimilating SO2 and NO2 separately in a sequential manner of computation. The sensitivity analysis shows that a perturbation of NH3 to 50 % (20 %) of the prior emission inventory can (a) have a negligible impact on the separate SO2 inversion but can lead to a decrease in posterior SO2 emissions over China by −2.4 % ( −7.0 %) in total and up to −9.0 % ( −27.7 %) in some grid cells in the joint inversion with NO2 and (b) yield posterior NOx emission decreases over China by −0.7 % ( −2.8 %) for the separate NO2 inversion and by −2.7 % ( −5.3 %) in total and up to −15.2 % ( −29.4 %) in some grid cells for the joint inversion. The large reduction of SO2 between 2010 and 2013, however, only leads to ∼ 10 % decrease in AOD regionally; reducing surface aerosol concentration requires the reduction of emissions of NH3 as well.
Details
- Title: Subtitle
- Inverse modeling of SO2 and NOx emissions over China using multisensor satellite data – Part 1: Formulation and sensitivity analysis
- Creators
- Yi Wang - Interdisciplinary Graduate Program in Informatics, The University of Iowa, Iowa City, IA 52242, USAJun Wang - Department of Chemical and Biochemical Engineering, and Center for Global and Regional Environmental Research, The University of Iowa, Iowa City, IA 52242, USAXiaoguang Xu - Department of Chemical and Biochemical Engineering, and Center for Global and Regional Environmental Research, The University of Iowa, Iowa City, IA 52242, USADaven K Henze - Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO 80309, USAZhen Qu - Department of Mechanical Engineering, University of Colorado Boulder, Boulder, CO 80309, USAKai Yang - Department of Atmospheric and Oceanic Sciences, University of Maryland, College Park, MD 20742, USA
- Resource Type
- Journal article
- Publication Details
- Atmospheric chemistry and physics, Vol.20(11), pp.6631-6650
- Publisher
- Copernicus Publications
- DOI
- 10.5194/acp-20-6631-2020
- ISSN
- 1680-7316
- eISSN
- 1680-7324
- Language
- English
- Date published
- 06/01/2020
- Academic Unit
- Physics and Astronomy; Chemical and Biochemical Engineering; Iowa Technology Institute; Civil and Environmental Engineering
- Record Identifier
- 9984049799102771
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