GSTDTAP  > 气候变化
DOI10.1029/2018JD030240
Hybrid Mass Balance/4D-Var Joint Inversion of NOx and SO2 Emissions in East Asia
Qu, Zhen1; Henze, Daven K.1; Theys, Nicolas2; Wang, Jun3; Wang, Wei4
2019-07-27
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2019
卷号124期号:14页码:8203-8224
文章类型Article
语种英语
国家USA; Belgium; Peoples R China
英文摘要

Accurate estimates of NOx and SO2 emissions are important for air quality modeling and management. To incorporate chemical interactions of the two species in emission estimates, we develop a joint hybrid inversion framework to estimate their emissions in China and India (2005-2012). Pseudo observation tests and posterior evaluation with surface measurements demonstrate that joint assimilation of SO2 and NO2 can provide more accurate constraints on emissions than single-species inversions. This occurs through synergistic change of O-3 and OH concentrations, particularly in conditions where satellite retrievals of the species being optimized have large uncertainties. The percentage changes of joint posterior emissions from the single-species posterior emissions go up to 242% at grid scales, although the national average of monthly emissions, seasonality, and interannual variations are similar. In China and India, the annual budget of joint posterior SO2 emissions is lower, but joint NOx posterior emissions are higher, because NOx emissions increase to increase SO2 concentration and better match Ozone Monitoring Instrument SO2 observations in high-NOx regions. Joint SO2 posterior emissions decrease by 16.5% from 2008 to 2012, while NOx posterior emissions increase by 24.9% from 2005 to 2011 in China-trends which are consistent with the MEIC inventory. Joint NOx and SO2 posterior emissions in India increase by 15.9% and 19.2% from 2005 to 2012, smaller than the 59.9% and 76.2% growth rate using anthropogenic emissions from EDGARv4.3.2. This work shows the benefit and limitation of joint assimilation in emission estimates and provides an efficient framework to perform the inversion.


英文关键词top-down emissions satellite observations inverse modeling mass balance 4D-Var OMI
领域气候变化
收录类别SCI-E
WOS记录号WOS:000481444200042
WOS关键词SULFUR-DIOXIDE ; TROPOSPHERIC CHEMISTRY ; RETRIEVAL ALGORITHM ; DATA ASSIMILATION ; MODEL DESCRIPTION ; NORTH CHINA ; INTEX-B ; POLLUTION ; ADJOINT ; INVENTORY
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向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/185256
专题气候变化
作者单位1.Univ Colorado, Dept Mech Engn, Boulder, CO 80309 USA;
2.Belgian Inst Space Aeron BIRA IASB, Brussels, Belgium;
3.Univ Iowa, Dept Chem & Biochem Engn, Ctr Global & Reg Environm Res, Iowa City, IA 52242 USA;
4.China Natl Environm Monitoring Ctr, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Qu, Zhen,Henze, Daven K.,Theys, Nicolas,et al. Hybrid Mass Balance/4D-Var Joint Inversion of NOx and SO2 Emissions in East Asia[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019,124(14):8203-8224.
APA Qu, Zhen,Henze, Daven K.,Theys, Nicolas,Wang, Jun,&Wang, Wei.(2019).Hybrid Mass Balance/4D-Var Joint Inversion of NOx and SO2 Emissions in East Asia.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,124(14),8203-8224.
MLA Qu, Zhen,et al."Hybrid Mass Balance/4D-Var Joint Inversion of NOx and SO2 Emissions in East Asia".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 124.14(2019):8203-8224.
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