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DOI10.5194/acp-22-10875-2022
Evaluating NOx emissions and their effect on O-3 production in Texas using TROPOMI NO2 and HCHO
Goldberg, Daniel L.; Harkey, Monica; de Foy, Benjamin; Judd, Laura; Johnson, Jeremiah; Yarwood, Greg; Holloway, Tracey
发表日期2022
ISSN1680-7316
EISSN1680-7324
起始页码10875
结束页码10900
卷号22期号:16页码:26
英文摘要The Tropospheric Monitoring Instrument (TROPOMI) on the Sentinel-5 Precursor (S5P) satellite is a valuable source of information to monitor the NOx emissions that adversely affect air quality. We conduct a series of experiments using a 4 x 4 km(2) Comprehensive Air Quality Model with Extensions (CAMx) simulation during April-September 2019 in eastern Texas to evaluate the multiple challenges that arise from reconciling the NO(x)( )emissions in model simulations with TROPOMI. We find an increase in NO2 (+17 % in urban areas) when transitioning from the TROPOMI NO2 version 1.3 algorithm to the version 2.3.1 algorithm in eastern Texas, with the greatest difference (+25 %) in the city centers and smaller differences (+5 %) in less polluted areas. We find that lightning NOx emissions in the model simulation contribute up to 24 % of the column NO2 in the areas over the Gulf of Mexico and 8% in Texas urban areas. NOx emissions inventories, when using locally resolved inputs, agree with NOx emissions derived from TROPOMI NO2 version 2.3.1 to within 20 % in most circumstances, with a small NOx underestimate in Dallas-Fort Worth (-13 %) and Houston (-20 %). In the vicinity of large power plant plumes (e.g., Martin Lake and Limestone) we find larger disagreements, i.e., the satellite NO2 is consistently smaller by 40 %-60 % than the modeled NO2, which incorporates measured stack emissions. We find that TROPOMI is having difficulty distinguishing NO2 attributed to power plants from the background NO2 concentrations in Texas - an area with atmospheric conditions that cause short NO2 lifetimes. Second, the NOx/NO2 ratio in the model may be underestimated due to the 4 km grid cell size. To understand ozone formation regimes in the area, we combine NO2 column information with formaldehyde (HCHO) column information. We find modest low biases in the model relative to TROPOMI HCHO, with -9 % underestimate in eastern Texas and -21 % in areas of central Texas with lower biogenic volatile organic compound (VOC) emissions. Ozone formation regimes at the time of the early afternoon overpass are NOx limited almost everywhere in the domain, except along the Houston Ship Channel, near the Dallas/Fort Worth International airport, and in the presence of undiluted power plant plumes. There are likely NOx-saturated ozone formation conditions in the early morning hours that TROPOMI cannot observe and would be well-suited for analysis with NO2 and HCHO from the upcoming TEMPO (Tropospheric Emissions: Monitoring Pollution) mission. This study highlights that TROPOMI measurements offer a valuable means to validate emissions inventories and ozone formation regimes, with important limitations.
学科领域Environmental Sciences; Meteorology & Atmospheric Sciences
语种英语
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号WOS:000844725100001
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/273072
作者单位George Washington University; University of Wisconsin System; University of Wisconsin Madison; Saint Louis University; National Aeronautics & Space Administration (NASA); NASA Langley Research Center; University of Wisconsin System; University of Wisconsin Madison
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Goldberg, Daniel L.,Harkey, Monica,de Foy, Benjamin,et al. Evaluating NOx emissions and their effect on O-3 production in Texas using TROPOMI NO2 and HCHO[J],2022,22(16):26.
APA Goldberg, Daniel L..,Harkey, Monica.,de Foy, Benjamin.,Judd, Laura.,Johnson, Jeremiah.,...&Holloway, Tracey.(2022).Evaluating NOx emissions and their effect on O-3 production in Texas using TROPOMI NO2 and HCHO.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(16),26.
MLA Goldberg, Daniel L.,et al."Evaluating NOx emissions and their effect on O-3 production in Texas using TROPOMI NO2 and HCHO".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.16(2022):26.
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