Received: 29 Jan 2020 – Discussion started: 07 May 2020
Abstract. TomoSim comes as part of project ATMOS, a miniaturised DOAS tomographic atmospheric evaluation device, designed to fit a small drone. During the development of the project, it became necessary to write a simulation tool for system validation. TomoSim is the answer to this problem. The software has two main goals: to mathematically validate the tomographic acquisition method; and to allow some adjustments to the system before reaching final product stages. This measurement strategy was based on a drone performing a sequential trajectory and gathering projections arranged in fan beams, before using some classical tomographic methods to reconstruct a spectral image. The team tested three different reconstruction algorithms, all of which were able to produce an image, validating the team's initial assumptions regarding the trajectory and acquisition strategy. All algorithms were assessed on their computational performance and their ability for reconstructing spectral images, using two phantoms, one of which custom made for this purpose. In the end, the team was also able to uncover certain limitations of the TomoSim approach that should be addressed before the final stages of the system.
How to cite. Valente de Almeida, R., Matela, N., and Vieira, P.: TomoSim: a tomographic simulator for DOAS, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2020-26, 2020.
Air pollution is quite literally one of the most present concerns of modern day Western societies. It is widely recognized (namely by the European Union) that technology plays a very important role in the fighting of this problem. One of such technologies is the spectroscopic measurement of air pollutant concentration known as DOAS. In this paper, the technique is applied with an Unmanned Aerial Vehicle, using tomographic techniques to map pollutant concentration in two dimensions.
Air pollution is quite literally one of the most present concerns of modern day Western...