2020
DOI: 10.5194/amt-2020-108
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Use of an Unmanned Aircraft System to Quantify NO<sub>x</sub> Emissions from a Natural Gas Boiler

Abstract: Abstract. Aerial emission sampling of four natural gas boiler stack plumes was conducted using an unmanned aerial system (UAS) equipped with a light-weight sensor/sampling system (the “Kolibri”) for measurement of nitrogen oxide (NO), and nitrogen dioxide (NO2), carbon dioxide (CO2), and carbon monoxide (CO). Flights (n = 22) ranged from 11 to 24 minutes duration at two different sites. The UAS was maneuvered into the plumes with the aid of real-time CO2 telemetry to the ground operators and, at one location, … Show more

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Cited by 2 publications
(2 citation statements)
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“…The main idea behind this is to compare the NOx ratings obtained by UAS-carried samples with the corresponding emission monitoring (CEM) measurements. The standards for UAS are accurate, secure, and fast for CEM certification [7]. Tommaso Francesco Villa et.al explains about growing pollution in today's world and in terms of naturally as well as anthropogenic emission; how pollution is affecting human life, animal life, global warming, climatic changes and also in agriculture sector.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The main idea behind this is to compare the NOx ratings obtained by UAS-carried samples with the corresponding emission monitoring (CEM) measurements. The standards for UAS are accurate, secure, and fast for CEM certification [7]. Tommaso Francesco Villa et.al explains about growing pollution in today's world and in terms of naturally as well as anthropogenic emission; how pollution is affecting human life, animal life, global warming, climatic changes and also in agriculture sector.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In recent years, a new monitoring technique using low-cost micro-sensors loaded on an unmanned aerial vehicle (UAV) has provided a new solution for rapid detection of aerial emissions in atmospheric science [15][16][17][18]. The dust (DSM501A) sensor was used to design a UAV-based PM 2.5 air quality monitoring system [19].…”
Section: Introductionmentioning
confidence: 99%