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Nitrogen is a very important element for life because it is a major constituent of proteins and nucleic acids. It is a macronutrient, and in nature, it is recycled from organic compounds and stored in the form of  ammonia, ammonium ions, nitrate, nitrite, or  nitrogen gas by many metabolic processes. Many of these metabolic processes are carried out only by prokaryotes.
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Quantifying NO Emission Sources in Houston, Texas Using Remote Sensing Aircraft Measurements and Source

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Area of Science:

  • Atmospheric chemistry and air quality management
  • Remote sensing and chemical transport modeling

Background:

  • Areas exceeding air pollution standards need to reduce nitrogen oxide (NOx) emissions to improve air quality.
  • Accurate NOx emission inventories are crucial for effective air quality management strategies.
  • Previous studies indicated potential underestimates in NOx emissions within chemical transport models.

Purpose of the Study:

  • To investigate and quantify NOx emissions from individual source sectors in Houston, TX.
  • To identify specific sources contributing to NOx emission underestimates in air quality models.
  • To provide actionable data for air quality managers to reduce NOx and improve air quality.

Main Methods:

  • Combined aircraft remote sensing (GCAS) with chemical transport models (CAMx) and regression techniques.
  • Applied a flux divergence method to satellite data to identify highway-related NOx discrepancies.
  • Utilized multiple linear regression (MLR) to isolate and quantify emissions from on-road, railyard, and shipping sectors.

Main Results:

  • Chemical transport models showed a significant low bias in column NO2 compared to remote sensing data.
  • On-road and railyard NOx emissions were identified as key contributors to model underestimates.
  • A revised model incorporating adjusted on-road and shipping NOx emissions showed improved agreement with measurements (bias reduced from -31% to -10%).

Conclusions:

  • Remote sensing data, particularly from geostationary instruments, can be integrated with chemical transport models for accurate NOx emission assessment.
  • The study successfully identified specific emission sources requiring inventory adjustments for better air quality predictions.
  • Findings offer valuable insights for air quality managers to target emission reduction strategies effectively.