Articles | Volume 17, issue 2
https://doi.org/10.5194/amt-17-677-2024
© Author(s) 2024. 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-17-677-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Jan 2024
Research article |
| 29 Jan 2024
| 29 Jan 2024
Development of a continuous UAV-mounted air sampler and application to the quantification of CO2 and CH4 emissions from a major coking plant
Tianran Han
State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
Conghui Xie
State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
Yayong Liu
State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
Yanrong Yang
State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
Yuheng Zhang
State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
Yufei Huang
State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
Xiangyu Gao
Beijing Wisdominc Technology Co., Ltd., Beijing 100070, PR China
Xiaohua Zhang
Suzhou Environmental Monitoring Center, Suzhou 215004, Jiangsu Province, PR China
Fangmin Bao
Jiangsu Shagang Group Co., Ltd., Beijing 215625, PR China
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Cited
13 citations as recorded by crossref.
- UAV-based measurements of methane emissions from two electrically-driven natural gas compressor stations in China T. Han et al. https://doi.org/10.1016/j.envpol.2026.128854
- Assessing 3-D variability of ultrafine particle using a Geo-AI modelling approach: A case study in Zhunan-Miaoli, Taiwan C. Hsu et al. https://doi.org/10.1016/j.envpol.2025.126879
- Establishing tracer gas dilution as a potential reference method for in-stack CO2 emission metrology Y. Liu et al. https://doi.org/10.1016/j.jclepro.2026.148051
- Optimizing airborne emission rate retrievals with sub-hectometre resolution numerical modelling S. Fathi et al. https://doi.org/10.5194/amt-19-3911-2026
- Spatial mapping of greenhouse gases using a UAV monitoring platform over a megacity in China T. Han et al. https://doi.org/10.1016/j.scitotenv.2024.175428
- Enhancing Uncrewed Aerial Vehicle Techniques for Monitoring Greenhouse Gas Plumes at Point Sources H. Kim et al. https://doi.org/10.1016/j.atmosenv.2024.120924
- Application of Unmanned Aerial Vehicle Observation for Estimating City-Scale Anthropogenic CO2 Emissions: A Case Study in Chengdu, Southwestern China X. Xiang et al. https://doi.org/10.3390/atmos16060713
- High-Resolution Modeling of Methane Plumes: Validation and Sensitivity Experiments to Explore Emission Quantification Approaches R. Yuvaraj et al. https://doi.org/10.1021/acs.est.5c15941
- A New Methodology for High Spatiotemporal Resolution Measurements of Air Volatile Organic Compounds: From Sampling to Data Deconvolution Y. Yang et al. https://doi.org/10.1021/acs.est.4c05669
- A correction algorithm for rotor-induced airflow and flight attitude changes during three-dimensional wind speed measurements made from a rotary unoccupied aerial vehicle Y. Yang et al. https://doi.org/10.5194/amt-18-3035-2025
- Quantification of greenhouse gas emissions from a municipal solid waste incinerator using an uncrewed aerial vehicle K. Kim et al. https://doi.org/10.1016/j.envint.2025.109396
- Observation of greenhouse gas vertical profiles in the boundary layer of the Mount Qomolangma region using a multirotor UAV Y. Zhou et al. https://doi.org/10.5194/amt-18-1609-2025
- Evaluating the performance of a cost effective in situ methane sensor for UAS-based systems and its ability to quantify facility-scale emissions N. van Ettinger et al. https://doi.org/10.5194/amt-19-3333-2026
13 citations as recorded by crossref.
- UAV-based measurements of methane emissions from two electrically-driven natural gas compressor stations in China T. Han et al. https://doi.org/10.1016/j.envpol.2026.128854
- Assessing 3-D variability of ultrafine particle using a Geo-AI modelling approach: A case study in Zhunan-Miaoli, Taiwan C. Hsu et al. https://doi.org/10.1016/j.envpol.2025.126879
- Establishing tracer gas dilution as a potential reference method for in-stack CO2 emission metrology Y. Liu et al. https://doi.org/10.1016/j.jclepro.2026.148051
- Optimizing airborne emission rate retrievals with sub-hectometre resolution numerical modelling S. Fathi et al. https://doi.org/10.5194/amt-19-3911-2026
- Spatial mapping of greenhouse gases using a UAV monitoring platform over a megacity in China T. Han et al. https://doi.org/10.1016/j.scitotenv.2024.175428
- Enhancing Uncrewed Aerial Vehicle Techniques for Monitoring Greenhouse Gas Plumes at Point Sources H. Kim et al. https://doi.org/10.1016/j.atmosenv.2024.120924
- Application of Unmanned Aerial Vehicle Observation for Estimating City-Scale Anthropogenic CO2 Emissions: A Case Study in Chengdu, Southwestern China X. Xiang et al. https://doi.org/10.3390/atmos16060713
- High-Resolution Modeling of Methane Plumes: Validation and Sensitivity Experiments to Explore Emission Quantification Approaches R. Yuvaraj et al. https://doi.org/10.1021/acs.est.5c15941
- A New Methodology for High Spatiotemporal Resolution Measurements of Air Volatile Organic Compounds: From Sampling to Data Deconvolution Y. Yang et al. https://doi.org/10.1021/acs.est.4c05669
- A correction algorithm for rotor-induced airflow and flight attitude changes during three-dimensional wind speed measurements made from a rotary unoccupied aerial vehicle Y. Yang et al. https://doi.org/10.5194/amt-18-3035-2025
- Quantification of greenhouse gas emissions from a municipal solid waste incinerator using an uncrewed aerial vehicle K. Kim et al. https://doi.org/10.1016/j.envint.2025.109396
- Observation of greenhouse gas vertical profiles in the boundary layer of the Mount Qomolangma region using a multirotor UAV Y. Zhou et al. https://doi.org/10.5194/amt-18-1609-2025
- Evaluating the performance of a cost effective in situ methane sensor for UAS-based systems and its ability to quantify facility-scale emissions N. van Ettinger et al. https://doi.org/10.5194/amt-19-3333-2026
Saved (final revised paper)
Latest update: 30 Aug 2026
Short summary
This study reported an integrated UAV measurement platform for GHG monitoring and its application for emission quantification from a coking plant. The key element of this system is a newly designed air sampler, consisting of a 150 m long tube with remote-controlled time stamping. When comparing the top-down results to those derived from the bottom-up inventory method, the present findings indicate that the use of IPCC emission factors for emission calculations can lead to overestimation.
This study reported an integrated UAV measurement platform for GHG monitoring and its...
