[MAX-DOAS Tomography Reconstruction for Gas Plume]

Area of Science:

• Atmospheric science
• Optical remote sensing
• Tomography

Context:

• Accurate 2D spatial distribution reconstruction of smoke plumes is crucial for environmental monitoring and industrial safety.
• Traditional methods often lack the precision required for detailed plume analysis.
• Passive multi-axis differential absorption spectroscopy (MAX-DOAS) offers a non-invasive approach to atmospheric measurements.

Purpose:

• To establish and validate a passive MAX-DOAS tomography system for precise 2D smoke plume spatial distribution reconstruction.
• To investigate the impact of varying light sources and models on reconstruction accuracy and efficiency.
• To compare numerical simulation results with field campaign data.

Summary:

• A passive MAX-DOAS tomography system was developed, utilizing an algebraic iterative algorithm for trace gas concentration inversion.
• Numerical simulations demonstrated that MAX-DOAS tomography accurately reconstructs 2D plume distributions, with four light sources yielding a third of the error and a quarter of the time compared to two light sources.
• Field tests confirmed the system's capability, showing consistency between reconstructed data and measured projections, aligning with actual plume behavior.

Impact:

• Provides a validated, accurate, and efficient method for 2D smoke plume spatial distribution reconstruction.
• Enhances capabilities for atmospheric pollution monitoring and source identification.
• Demonstrates the potential of passive optical tomography in environmental sensing applications.