Enhancing gas distribution mapping reconstruction accuracy through geometric scanning techniques

Abstract

Gas distribution mapping and source localization are critical for industrial safety, environmental monitoring, and hazard mitigation. This paper evaluates the influence of geometric scanning parameters on the reconstruction accuracy of gas distribution mapping using tunable diode laser absorption spectroscopy. The paper explores the interaction of laser light with gas molecules and surfaces, highlighting the role of absorption, scattering, and reflection in gas concentration measurement. Four laser scanning configurations are analyzed. Five tomographic algorithms are assessed for their effectiveness in reconstructing 2D gas distribution maps. The results demonstrate that the maximum-likelihood expectation maximization algorithm achieves the highest reconstruction accuracy across all configurations, while the triple fan-parallel beam scanning nonuniform distributed configuration offers the best overall accuracy.