Articles | Volume 12, issue 6
https://doi.org/10.5194/amt-12-3123-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-3123-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
13 Jun 2019
Research article | Highlight paper |
| 13 Jun 2019
| 13 Jun 2019
A sampler for atmospheric volatile organic compounds by copter unmanned aerial vehicles
Department of Chemistry, Colby College, Waterville, Maine, 04901, USA
School of Engineering and Applied Sciences, Harvard University,
Cambridge, Massachusetts, 02138, USA
Daniel Wang
School of Engineering and Applied Sciences, Harvard University,
Cambridge, Massachusetts, 02138, USA
Jianhuai Ye
School of Engineering and Applied Sciences, Harvard University,
Cambridge, Massachusetts, 02138, USA
Jean-Baptiste de Fouchier
School of Engineering and Applied Sciences, Harvard University,
Cambridge, Massachusetts, 02138, USA
Patricia C. Guimarães
National Institute
of Amazonia Research and Amazonas State University, Manaus, Amazonas,
69060-001, Brazil
School of Technology, Amazonas State University, Manaus,
Amazonas, 69065-020, Brazil
Carla E. Batista
National Institute
of Amazonia Research and Amazonas State University, Manaus, Amazonas,
69060-001, Brazil
School of Technology, Amazonas State University, Manaus,
Amazonas, 69065-020, Brazil
Rodrigo A. F. Souza
National Institute
of Amazonia Research and Amazonas State University, Manaus, Amazonas,
69060-001, Brazil
School of Technology, Amazonas State University, Manaus,
Amazonas, 69065-020, Brazil
Eliane G. Alves
National Institute
of Amazonia Research and Amazonas State University, Manaus, Amazonas,
69060-001, Brazil
Department of Biogeochemical Processes, Max Planck Institute for
Biogeochemistry, Jena, Germany
Department of Earth System Science, University of California, Irvine,
California, 92697, USA
Alex B. Guenther
Department of Earth System Science, University of California, Irvine,
California, 92697, USA
Scot T. Martin
CORRESPONDING AUTHOR
School of Engineering and Applied Sciences, Harvard University,
Cambridge, Massachusetts, 02138, USA
Department of Earth and Planetary Sciences, Harvard University,
Cambridge, Massachusetts, 02138, USA
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34 citations as recorded by crossref.
- Sensors and systems for air quality assessment monitoring and management: A review D. Singh et al. 10.1016/j.jenvman.2021.112510
- UAV-Based Wildland Fire Air Toxics Data Collection and Analysis P. Ragbir et al. 10.3390/s23073561
- Recent Advances in Unmanned Aerial Vehicle Forest Remote Sensing—A Systematic Review. Part I: A General Framework R. Dainelli et al. 10.3390/f12030327
- Unmanned-aerial-vehicle-borne cavity enhanced albedometer: a powerful tool for simultaneous in-situ measurement of aerosol light scattering and absorption vertical profiles J. Zhou et al. 10.1364/OE.493696
- River Winds and Transport of Forest Volatiles in the Amazonian Riparian Ecoregion J. Ye et al. 10.1021/acs.est.1c08460
- Unpiloted Aircraft System Instrument for the Rapid Collection of Whole Air Samples and Measurements for Environmental Monitoring and Air Quality Studies E. Asher et al. 10.1021/acs.est.0c07213
- Environmental chemical sensing using small drones: A review J. Burgués & S. Marco 10.1016/j.scitotenv.2020.141172
- A lightweight broadband cavity-enhanced spectrometer for NO2 measurement on uncrewed aerial vehicles C. Womack et al. 10.5194/amt-15-6643-2022
- A Review on Air Quality Measurement Using an Unmanned Aerial Vehicle V. Lambey & A. Prasad 10.1007/s11270-020-04973-5
- Development of multi-channel whole-air sampling equipment onboard an unmanned aerial vehicle for investigating volatile organic compounds' vertical distribution in the planetary boundary layer S. Yang et al. 10.5194/amt-16-501-2023
- Ultra-Light Airborne Measurement System for Investigation of Urban Boundary Layer Dynamics P. Sekula et al. 10.3390/s21092920
- Vertical profile of aerosol number size distribution during a haze pollution episode in Hefei, China L. Shen et al. 10.1016/j.scitotenv.2021.152693
- Near-canopy horizontal concentration heterogeneity of semivolatile oxygenated organic compounds and implications for 2-methyltetrols primary emissions J. Ye et al. 10.1039/D0EA00006J
- Intermediate-scale horizontal isoprene concentrations in the near-canopy forest atmosphere and implications for emission heterogeneity C. Batista et al. 10.1073/pnas.1904154116
- Methyl Salicylate and Sesquiterpene Emissions Are Indicative for Aphid Infestation on Scots Pine M. Kivimäenpää et al. 10.3390/f11050573
- Vertical Profiles of Atmospheric Species Concentrations and Nighttime Boundary Layer Structure in the Dry Season over an Urban Environment in Central Amazon Collected by an Unmanned Aerial Vehicle P. Guimarães et al. 10.3390/atmos11121371
- A mini broadband cavity enhanced absorption spectrometer for nitrogen dioxide measurement on the unmanned aerial vehicle platform Z. Zheng et al. 10.1016/j.atmosenv.2024.120361
- Unmanned Aerial Vehicle Measurements of Volatile Organic Compounds over a Subtropical Forest in China and Implications for Emission Heterogeneity Y. Li et al. 10.1021/acsearthspacechem.0c00271
- Quantitative analysis and spatial and temporal distribution of volatile organic compounds in atmospheric air by utilizing drone with miniaturized samplers H. Lan et al. 10.1016/j.chemosphere.2021.131024
- Stereoscopic hyperspectral remote sensing of the atmospheric environment: Innovation and prospects C. Liu et al. 10.1016/j.earscirev.2022.103958
- Addressing a century‐old hypothesis – do pioneer beetles of Ips typographus use volatile cues to find suitable host trees? L. Lehmanski et al. 10.1111/nph.18865
- Robotic Volatile Sampling for Early Detection of Plant Stress: Precision Agriculture Beyond Visual Remote Sensing C. Geckeler et al. 10.1109/MRA.2023.3315932
- Development and utilization of hexacopter unmanned aerial vehicle platform to characterize vertical distribution of boundary layer ozone in wintertime Q. Chen et al. 10.1016/j.apr.2020.04.002
- Design and field campaign validation of a multi-rotor unmanned aerial vehicle and optical particle counter J. Girdwood et al. 10.5194/amt-13-6613-2020
- Optimization and Representativeness of Atmospheric Chemical Sampling by Hovering Unmanned Aerial Vehicles Over Tropical Forests Y. Ma et al. 10.1029/2020EA001335
- Amazonian biogenic volatile organic compounds under global change A. Yáñez‐Serrano et al. 10.1111/gcb.15185
- Using drone soundings to study the impacts and compositions of plumes from a gigantic coal-fired power plant Y. Chen et al. 10.1016/j.scitotenv.2023.164709
- A study of the vertical homogeneity of trace gases in East Asian continental outflow C. Chang et al. 10.1016/j.chemosphere.2022.134165
- Investigating Errors Observed during UAV-Based Vertical Measurements Using Computational Fluid Dynamics H. Hedworth et al. 10.3390/drones6090253
- An optimized multicopter UAV sounding technique (MUST) for probing comprehensive atmospheric variables C. Chang et al. 10.1016/j.chemosphere.2020.126867
- Impact of heat stress on foliar biogenic volatile organic compound emission and gene expression in tomato (Solanum lycopersicum) seedlings S. Nagalingam et al. 10.1525/elementa.2021.00096
- Volatile Organic Compound Sampling through Rotor Unmanned Aerial Vehicle Technique for Environmental Monitoring Y. Chen et al. 10.3390/atmos13091442
- The prospected air quality measurements for further unconventional natural gas developments in China based on the United States experience T. Fang et al. 10.3389/fenvs.2022.864818
- The Vertical Distribution of VOCs and Their Impact on the Environment: A Review D. Chen et al. 10.3390/atmos13121940
Latest update: 18 Apr 2024
Short summary
Volatile organic compound (VOC) emissions influence air quality and particulate distributions, particularly in major source regions such as the Amazon. A sampler for collecting VOCs from an unmanned aerial vehicle (UAV) is described. Field tests of its performance and an initial example data set collected in the Amazon are also presented. The low cost, ease of use, and maneuverability of UAVs give this method the potential to significantly advance knowledge of the spatial distribution of VOCs.
Volatile organic compound (VOC) emissions influence air quality and particulate distributions,...
