Skip to main navigation Skip to search Skip to main content

Use of Multi-Rotor Unmanned Aerial Vehicles for Fine-Grained Roadside Air Pollution Monitoring

  • Bai Li
  • , Rong Cao
  • , Zhanyong Wang
  • , Rui Feng Song
  • , Zhong Ren Peng
  • , Guangli Xiu
  • , Qingyan Fu
  • Shanghai Jiao Tong University
  • Fujian Agriculture and Forestry University
  • University of Florida
  • East China University of Science and Technology
  • Shanghai Environment Monitor Center

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

Abstract

With increasing numbers of motor vehicles, vehicle exhaust gas has become one of the most important sources of urban air pollutants. After being emitted from the motor vehicle, exhaust gas spreads through the air along the road and is gradually deposited in the surrounding area, having an adverse impact on pedestrians and residents. At present, most research on vehicle exhaust directly measures the total emissions from the exhaust pipe or monitors the time variation of air pollutants at the roadside by setting roadside monitoring stations. The spatial resolution of these two methods is very low, however, and it is impossible to describe accurately the diffusion patterns of exhaust gas in the atmosphere after discharge. Some scholars have conducted research on the quality of roadside air by hand-held portable devices, but these are limited by the speed of travel, and the spatial and temporal resolution of the acquired data is also very low. By using multi-rotor unmanned aerial vehicles (UAVs) and portable equipment, this study demonstrates an atmospheric environment monitoring system based on multi-rotor UAV by designing corresponding hardware circuits and software programs. With flexible requirements for takeoff or landing sites and high maneuverability of multi-rotor UAVs, the system increases the capability for high resolution spatial and temporal monitoring of the diffusion of traffic-emitted pollutants. The system can conduct fixed-point measurement by hovering, and can also measure air pollutants in complex urban terrain, providing an innovation in the study of vehicle exhaust gas diffusion.

Original languageEnglish
Pages (from-to)169-180
Number of pages12
JournalTransportation Research Record
Volume2673
Issue number7
DOIs
StatePublished - 1 Jul 2019
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Fingerprint

Dive into the research topics of 'Use of Multi-Rotor Unmanned Aerial Vehicles for Fine-Grained Roadside Air Pollution Monitoring'. Together they form a unique fingerprint.

Cite this