Paper
27 August 2003 Computed tomography of air pollutants in street canyons
Author Affiliations +
Abstract
We present the results of preliminary research investigating the generation of two-dimensional pollutant gas concentration maps of street canyons. This research uses computed tomography (CT) to reconstruct the spatial distribution of gas concentrations from path-integral data obtained using differential optical absorption spectroscopy (DOAS). This work represents a novel application of these two techniques and is aimed at the validation of theoretical gas distribution models in selected urban settings. The derived results are based on model data and investigate the viability of constrained geometry sensing networks and the accuracy of current computed tomography algorithms. We also present results on the use of an evolutionary algorithm applied to pollutant reconstruction in an open area as part of initial investigations into its applicability to street canyon pollutant reconstruction. Future work will include the reconstruction of gas distributions in a real urban setting with the long-term goal of a system that is capable of performing this task in near real-time allowing the visualisation of short to medium time scale spatial dynamics.
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Stephen O'Driscoll, John G. Murphy, and Niall J. Smith "Computed tomography of air pollutants in street canyons", Proc. SPIE 4876, Opto-Ireland 2002: Optics and Photonics Technologies and Applications, (27 August 2003); https://doi.org/10.1117/12.463985
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KEYWORDS
Reconstruction algorithms

Evolutionary algorithms

Computed tomography

Data modeling

Remote sensing

Visualization

Computer simulations

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