From laboratory to in-situ 3D measurements of complex pollution states in the city: Introducing a general concept using compact multisensory assemblies on UAVs

In the city, it is still a challenge to implement a mobile measurement device to accurately monitor its complex pollution state. Current research proposes new technological developments and many studies implement an Unmanned Aerial Vehicle (UAV)-based platforms. However, many questions arise on the representativeness of such measurements and on the UAV impact on data quality. Here, UAV is used to link between sparsely located ground monitoring sites and lidar station measuring pollution, the latter of which are at heights of typically > 200 m. Information at intermediate heights are missing but needed for health studies and also for lidar vali-dation algorithms. In this regard, we propose and demonstrate a UAV-based platform aimed at measuring meteorological and air quality parameters, namely, air temperature (T-air), relative humidity (RH) and PM2.5 (Particulate matter pollution with a diameter of less than 2.5 mu m) on both compact and large UAV integrations. Each integration was separately investigated both numerically and experimentally in terms of the possible set of instruments used in the setup. In particular, custom-made meteorological shelters were constructed and tested in the laboratory under different propeller conditions. The best placement locations on the UAVs were verified using numerical airflow simulations employing real UAV geometries. Next, we compared between different sensors for T-air on a diurnal cycle and deduced the best work time corresponding to minimal impact of the outside conditions (mainly due to direct sun exposure). The influence of propeller rotation on measured parameters has been studied in detail. In addition, a pilot field experiment was conducted in the urban domain using our platform and these measurements were compared to all available data sources. Our field experiment indicated a mixed local pollution layer up to 300 m. Finally, we suggest a practical guideline for carrying out field experiments employing both UAVs. We have also considered the fact that wide use of UAV technologies in crowded cities in the context presented in this paper is currently restricted by regulations and privacy that vary among different countries.

Automated summary

Implementing a mobile measurement device to accurately monitor complex pollution in the city is still a challenge. Current research proposes the use of UAV-based platforms for measurements, but questions remain regarding the representativeness of these measurements and the impact of UAVs on data quality. In this study, a UAV-based platform is developed and tested for measuring meteorological and air quality parameters, such as air temperature, relative humidity, and PM2.5. The researchers also investigate the effects of different instrumentation setups and propeller rotations on the measured parameters.