THERMAL SCIENCE

International Scientific Journal

Thermal Science - Online First

online first only

Experimental study of temperature inversions above urban area using unmanned aerial vehicle

ABSTRACT
Vertical temperature profiles represent a very important factor for various analytical and numerical studies, such as weather forecasts, air pollution models and computational fluid dynamics simulations. These temperature profiles are especially important during the winter periods, when temperature inversions occur. The cities in the natural valleys, such as the city of Sarajevo, are strongly affected by this phenomenon. In this paper, a method for quantitative characterization of vertical temperature profiles, which is based on the in-house developed data acquisition system and the unmanned aerial vehicle, is presented. Comprehensive calibration and verification procedure was performed and explained in details. Field measurements were focused on the winter period and extreme temperature inversion scenarios. The correlation with the air pollution in the city, for the same period, was discussed as well.
KEYWORDS
PAPER SUBMITTED: 2018-02-27
PAPER REVISED: 2018-08-13
PAPER ACCEPTED: 2018-08-22
PUBLISHED ONLINE: 2018-09-29
DOI REFERENCE: https://doi.org/10.2298/TSCI180227250M
REFERENCES
  1. Mahesh, A., et al., Radiosonde Temperature Measurements in Strong Inversions: Correction for Thermal Lag Based on an Experiment at the South Pole, Journal of Atmospheric and Oceanic Technology, 14 (1997), pp. 45-53
  2. Wolf, T., et al., Analysis of the Vertical Temperature Structure in the Bergen Valley, Norway, and its Connection to Pollution Episodes, Journal of Geophysical Research: Atmospheres, 119 (2014), pp. 10645-10662
  3. Largeron, Y., Staquet C., Persistent Inversion Dynamics and Wintertime PM10 Air Pollution in Alpine Valleys, Atmospheric Environment, 135 (2016), pp. 92-108
  4. Zawadzka, O., et al., Study of the vertical variability of aerosol properties based on cable cars in-situ measurements, Atmospheric Pollution Research, 8 (2017), pp. 968-978
  5. Wang, Q., et al., A Quantitatively Operational Judging Method for the Process of Large Regional Heavy Haze Event Based on Satellite Remote Sensing and Numerical Simulations, Atmosphere, 8 (2017), pp. 1-15
  6. Liu, B., et. al., Study of continuous air pollution in winter over Wuhan based on ground-based and satellite observations, Atmospheric Pollution Research, 9 (2018), pp. 156-165
  7. Masic, A., Unmanned Aerial Vehicle as Data Acquisiton System, Journal of Trends in the Development of Machinery and Associated Technology, 1 (2015), pp. 181-184
  8. Roldan, J. J., et al., Mini-UAV Based Sensory System for Measuring Environmental Variables in Greenhouses, Sensors, 15 (2015), pp. 3334-3350
  9. Villa, T. F., et al., Development and Validation of a UAV Based System for Air Pollution Measurements, Sensors, 16 (2016), pp. 1-15
  10. Brosy, C., et al., Simultaneous Multicopter-based Air Sampling and Sensing of Meteorological variables, Atmospheric Measuremetns Techniques, 10 (2017), pp. 2773-2784
  11. Greatwood, C., et al., Atmospheric Sampling on Ascension Island Using Multirotor UAVs, Sensors, 17 (2017), pp. 1-24
  12. Cassano, J. J., Observations of atmospheric boundary layer temperature profiles with a small unmanned aerial vehicle, Antarctic Science, 26 (2014), pp.205-213
  13. Dias, N. L., Obtaining Potential Virtual Temperature Profiles, Entrainment Fluxes, and Spectra from Mini Unmanned Aerial Vehicle Data, Boundary-Layer Meteorology, 145 (2012), pp. 93-111
  14. Steinhart, J. S., Hart, S. R., Calibration Curves for Thermistors, Deep-Sea Research and Oceanographic Abstracts, 15 (1968), pp. 497-503
  15. Ilic, D., et al., Temperature Measurements by Means of NTC Resistors and a Two-parameter Approximation Curve, Measurement, 41 (2008), pp. 294-299
  16. Fochesatto, G. J., Methodology for Determining Multilayered Temperature Inversions, Atmospheric Measuremetns Techniques, 8 (2015), pp. 2051-2060