Preprints
https://doi.org/10.5194/amt-2023-162
https://doi.org/10.5194/amt-2023-162
21 Aug 2023
 | 21 Aug 2023
Status: a revised version of this preprint was accepted for the journal AMT and is expected to appear here in due course.

Integrated unmanned aerial vehicle platform with sensing and sampling systems for the measurement of air pollutant concentrations

Chen-Wei Liang and Chang-Hung Shen

Abstract. In this study, an unmanned aerial vehicle (UAV) platform with sensing and sampling systems was developed for three-dimensional (3D) measurements of air pollutant concentrations. The sensing system of this platform contains multiple microsensors and Internet of Things devices for determining the 3D distributions of four critical air pollutants and two meteorological parameters in real time. Moreover, the sampling system comprises remote-controllable gas sampling kits, each of which contains a Tedlar bag of 1 L for the 3D measurement of volatile organic compound concentrations according to the TO-15 method of the US Environmental Protection Agency. The performance of the developed UAV platform was verified in experiments where it was used to detect air pollutant emissions from a large industrial zone in Taiwan that included a traditional industrial park, precision machinery park, and municipal waste incineration plant. Three locations were selected as field measurement sites according to the prevailing local wind direction. The vertical distributions of four critical air pollutants, ambient temperature, and relative humidity were determined from data gathered at the aforementioned sites in March and May 2023. A total of 56 and 72 chemical species were qualitatively and quantitatively analyzed in these two periods, respectively. The experimental results verified the feasibility of using the proposed UAV platform for accurately evaluating the air pollutant concentration distribution and transport in an industrial zone. The sampling system can be used as a sampling part of the Method To-15, thus extending the method to measure the 3D distribution of VOCs in an area. The UAV platform can serve as a useful tool in the management and decision-making process of air pollution in industrial areas.

Chen-Wei Liang and Chang-Hung Shen

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2023-162', Salvatore Manfreda, 05 Dec 2023
    • AC1: 'Reply on RC1', ChenWei Liang, 22 Dec 2023
  • RC2: 'Comment on amt-2023-162', Francesca Fumian, 28 Feb 2024
    • AC2: 'Reply on RC2', ChenWei Liang, 01 Mar 2024

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2023-162', Salvatore Manfreda, 05 Dec 2023
    • AC1: 'Reply on RC1', ChenWei Liang, 22 Dec 2023
  • RC2: 'Comment on amt-2023-162', Francesca Fumian, 28 Feb 2024
    • AC2: 'Reply on RC2', ChenWei Liang, 01 Mar 2024
Chen-Wei Liang and Chang-Hung Shen
Chen-Wei Liang and Chang-Hung Shen

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Short summary
In the present study, a UAV platform with sensing and sampling systems was developed for 3D air pollutant concentration measurements. The sensing system of this platform contains multiple microsensors and IoT technologies for obtaining the real-time 3D distributions of critical air pollutants. The sampling system contains gas sampling sets, and a 1-L Tedlar bag instead of a canister for the 3D measurement of VOC concentrations in accordance with the TO-15 method of the US EPA.