Development and Validation of a UAV Based System for Air Pollution MeasurementsReport as inadecuate


Development and Validation of a UAV Based System for Air Pollution Measurements


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1

International Laboratory for Air Quality and Health ILAQH, Queensland University of Technology QUT, 2 George St, Brisbane QLD 4000, Australia

2

Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania 7000, Australia

3

Australian Research Centre for Aerospace Automation ARCAA, Queensland University of Technology QUT, 2 George St, Brisbane QLD 4000, Australia





*

Author to whom correspondence should be addressed.



Academic Editor: Hans Tømmervik

Abstract Air quality data collection near pollution sources is difficult, particularly when sites are complex, have physical barriers, or are themselves moving. Small Unmanned Aerial Vehicles UAVs offer new approaches to air pollution and atmospheric studies. However, there are a number of critical design decisions which need to be made to enable representative data collection, in particular the location of the air sampler or air sensor intake. The aim of this research was to establish the best mounting point for four gas sensors and a Particle Number Concentration PNC monitor, onboard a hexacopter, so to develop a UAV system capable of measuring point source emissions. The research included two different tests: 1 evaluate the air flow behavior of a hexacopter, its downwash and upwash effect, by measuring air speed along three axes to determine the location where the sensors should be mounted; 2 evaluate the use of gas sensors for CO2, CO, NO2 and NO, and the PNC monitor DISCmini to assess the efficiency and performance of the UAV based system by measuring emissions from a diesel engine. The air speed behavior map produced by test 1 shows the best mounting point for the sensors to be alongside the UAV. This position is less affected by the propeller downwash effect. Test 2 results demonstrated that the UAV propellers cause a dispersion effect shown by the decrease of gas and PN concentration measured in real time. A Linear Regression model was used to estimate how the sensor position, relative to the UAV center, affects pollutant concentration measurements when the propellers are turned on. This research establishes guidelines on how to develop a UAV system to measure point source emissions. Such research should be undertaken before any UAV system is developed for real world data collection. View Full-Text

Keywords: UAV remote gas sensing; downwash effect; air quality; hexacopter; optical sensor; air pollution; particle number concentration monitor UAV remote gas sensing; downwash effect; air quality; hexacopter; optical sensor; air pollution; particle number concentration monitor





Author: Tommaso Francesco Villa 1, Farhad Salimi 2, Kye Morton 3, Lidia Morawska 1,* and Felipe Gonzalez 3

Source: http://mdpi.com/



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