4.7 Article

Evaluating NOx emissions and their effect on O3 production in Texas using TROPOMI NO2 and HCHO

期刊

ATMOSPHERIC CHEMISTRY AND PHYSICS
卷 22, 期 16, 页码 10875-10900

出版社

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/acp-22-10875-2022

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资金

  1. Texas Air Quality Research Program (AQRP) [20-020]
  2. University of Texas at Austin through the Texas Emission Reduction Program (TERP)
  3. Texas Commission on Environmental Quality (TCEQ)
  4. ASA Health and Air Quality Applied Sciences Team (HAQAST) [80NSSC21K0511]
  5. NASA Health and Air Quality (HAQ) [80NSSC19K0193]
  6. NASA Atmospheric Composition Modeling and Analysis Program (ACMAP) [80NSSC19K0946]

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The study on NOx emissions investigation and model validation using the Tropospheric Monitoring Instrument (TROPOMI) on the Sentinel-5 Precursor (S5P) satellite reveals the significance of TROPOMI measurements in monitoring NOx emissions and verifying ozone formation regimes. However, there are difficulties in distinguishing emission sources and background concentration by TROPOMI in Texas, and the model may underestimate the NOx/NO2 ratio.
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.

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