2022
DOI: 10.1016/j.scitotenv.2022.154898
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Evaluating the use of an Unmanned Aerial Vehicle (UAV)-based active AirCore system to quantify methane emissions from dairy cows

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Cited by 36 publications
(21 citation statements)
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“…In future perspectives, the obtained results represent a statistical evaluation that will be confirmed in the field with direct measurements, utilizing innovative instrumental technologies like drone-based monitoring with specialized greenhouse gas sensors. Literature data support this strategy, as enteric CH4 estimates using the IPCC methodology (level 2) have been subsequently validated in the field through measurements employing both established analytical techniques [19,20] and innovative methodologies [21], ensuring a high number of measurements over an extensive and/or rugged area, while simultaneously reducing sampling times.…”
Section: Discussionmentioning
confidence: 99%
“…In future perspectives, the obtained results represent a statistical evaluation that will be confirmed in the field with direct measurements, utilizing innovative instrumental technologies like drone-based monitoring with specialized greenhouse gas sensors. Literature data support this strategy, as enteric CH4 estimates using the IPCC methodology (level 2) have been subsequently validated in the field through measurements employing both established analytical techniques [19,20] and innovative methodologies [21], ensuring a high number of measurements over an extensive and/or rugged area, while simultaneously reducing sampling times.…”
Section: Discussionmentioning
confidence: 99%
“…The UG MBA has been described in Vinković et al (2022). The total CH4 flux in grams per second (gs -1 ) of a source is derived as:…”
Section: Mass Balance Approachmentioning
confidence: 99%
“…where 𝑣 is the mean horizontal wind speed, 𝜃 is the angle between the mean wind direction and the flight trajectory, 𝑀 𝐶𝐻 4 is the molecular mass of methane, 𝑛 𝑑𝑟𝑦𝑎𝑖𝑟 is the molar density of dry air, ∆𝑐 is the enhancement of the CH4 mole fraction above background, and ∆𝑥 and ∆𝑧 are the horizontal and the vertical increments of the integration plane, respectively. The background was determined as the 10 th percentile of the downwind flight CH4 measurements as in Vinković et al (2022). The total uncertainty is derived by error propagation, based upon the variability and uncertainty in each variable of the equation 3.…”
Section: Mass Balance Approachmentioning
confidence: 99%
“…Unmanned Aerial Vehicles (UAVs) are an emerging platform to investigate CH4 emissions from various sources such as landfills, dairy farms and natural gas compressor stations (Allen et al, 2019;Vinković et al, 2022;Nathan et al, 2015;Andersen et al, 2018;Morales et al, 2022;Shah et al, 2020;Shi et al, 2022). UAVs allow transecting the plume over its entire vertical and horizontal extent, by flying at numerous heights, compared to ground-based measurements that typically capture only part of the plume only at one height (Andersen et al, 2018).…”
Section: Emission Quantificationmentioning
confidence: 99%
“…UAVs allow transecting the plume over its entire vertical and horizontal extent, by flying at numerous heights, compared to ground-based measurements that typically capture only part of the plume only at one height (Andersen et al, 2018). Two different UAV-based systems were used to obtain atmospheric mole fraction measurements downwind of oil and gas facilities during ROMEO: (i) an active AirCore system from the University of Groningen (UG) (Vinković et al 2022) and (ii) a lightweight fast-response Quantum Cascade Laser Absorption Spectrometer (QCLAS) developed at the Swiss Federal Institute for Materials Science and Technology (EMPA) (Tuzson et al, 2020;Morales et al, 2022). A total of 125 flights (65 UG; 60 EMPA) were performed downwind of 43 different facilities (19 UG; 24 EMPA).…”
Section: Emission Quantificationmentioning
confidence: 99%