Use of Unmanned Aerial Vehicles to Monitor Air Quality in Areas with Poor Accessibility. Case Study: the Orinoquia Natural Region, Colombia
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jul 11, 2024
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https://doi.org/10.30878/ces.v32n0a15
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Carlos Alberto Echeverri Londoño
http://orcid.org/0000-0001-8849-6896
Gabriel Jaime Maya Vasco
http://orcid.org/0000-0003-3922-3239
http://orcid.org/0000-0001-8849-6896
Gabriel Jaime Maya Vasco
http://orcid.org/0000-0003-3922-3239
Resumen
The concentrations of some atmospheric pollutants, including some considered greenhouse gases, were measured at different altitudes in the lower troposphere of the Orinoquía region (Colombia). Several sensors attached to an unmanned aerial vehicle (UAV) were used. The sensor system can capture the spatiotemporal variations of some atmospheric pollutants and meteorological variables. Vertical distribution patterns of pollutant concentrations monitored in the lower troposphere were mainly correlated with the temperature gradients, relative humidity, and solar radiation. CO2 concentrations ranged from 72.3 to 646.5 ppm, for a mean value of 130.1 ppm.
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ECHEVERRI LONDOÑO, Carlos Alberto; MAYA VASCO, Gabriel Jaime.
Use of Unmanned Aerial Vehicles to Monitor Air Quality in Areas with Poor Accessibility. Case Study: the Orinoquia Natural Region, Colombia.
CIENCIA ergo-sum, [S.l.], v. 32, jul. 2024.
ISSN 2395-8782.
Disponible en: <https://cienciaergosum.uaemex.mx/article/view/21044>. Fecha de acceso: 14 jul. 2025
doi: https://doi.org/10.30878/ces.v32n0a15.
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Ciencias exactas y aplicadas
Esta obra está bajo licencia internacional Creative Commons Reconocimiento-NoComercial-SinObrasDerivadas 4.0.
Citas
Andreae, M. (1991). Biomass burning: its history, use and distribution and its impact on environmental quality and global climate. Global Biomass Burning: Atmospheric, Climatic and Biospheric Implications. United States: MIT Press.
Chacón, L. (2015). Efecto de los incendios forestales sobre la calidad del aire en dos ciudades colombianas. Universidad Nacional de Colombia.
Hernández, D. G. (2019). Las quemas reiteradas reducen carbono del suelo en la Orinoquía. Periódico UNAL. https://periodico.unal.edu.co/articulos/las-quemas-reiteradas-reducen-carbono-del-suelo-en-la-orinoquia/
IDEAM (Instituto de Hidrología, Meteorología y Estudios Ambientales). (2017). Informe del estado de la calidad del aire en Colombia 2011-2015. http://documentacion.ideam.gov.co/
IDEAM (Instituto de Hidrología, Meteorología y Estudios Ambientales). (2018). Atlas climatológico de Colombia. http://documentacion.ideam.gov.co/
IPCC (Intergovernmental Panel on Climate Change). (2007). Intergovernmental Panel on Climate Change. https://archive.ipcc.ch/home_languages_main_spanish.shtml/
NOAA (National Oceanic and Atmospheric Administration). (2021). Carbon dioxide peaks near 420 parts per million at Mauna Loa Observatory. https://research.noaa.gov/coronavirus-response-barely-slows-rising-carbon-dioxide/
Tierra Colombiana. (2019). Región Orinoquía Colombiana. https://tierracolombiana.org/region-orinoquia-de-colombia/
Torinjano Jiménez, D., Osorio Mosquera, A., & Marulanda Tobón, A. (2023). Comparativo de incendios forestales en Colombia a través de instrumentos de teledetección: caso de estudio en la región de la Orinoquía. Investigaciones en gestión del riesgo de desastres para Colombia. Unidad Nacional para la Gestión del Riesgo de Desastres. Gobierrno de Colombia.
Villa, T. F., Salimi, F., Morton. K., Morawska, L., & Gonzalez, F. (2016). An overview of small unmanned aerial vehicles for air quality measurements: Present applications and future perspectives. Sensors, 16. https://doi.org/10.3390/s16122202
Watai, T., Machida, T., Ishizaki, N. & Inoue, G. (2006). A lightweight observation system for atmospheric carbon dioxide concentration using a small unmanned aerial vehicle. Journal of Atmospheric and Oceanic Technology, 23(5), 700-710.
Xiao-Bing, L., Dong-Sheng, W., Qing-Chang, L., Zhong-Ren, P., & Zhan-Yong, W. (2018). Investigating vertical distribution patterns of lower tropospheric PM2.5 using unmanned aerial vehicle measurements. Atmospheric Environment, 173.
Xiao-Bing, L., Dong-Sheng, W., Qing-Chang, L., Zhong-Ren, P., Si-Jia, L., Bai, Li., & Chao, L. (2017). Three-dimensional investigation of ozone pollution in the lower troposphere using an unmanned aerial vehicle platform. Environmental Pollution, 224.
Zhong-Ren, P., Dongsheng, W., Zhanyong, W., Ya, G., & Sijia, L. (2015). A study of vertical distribution patterns of PM2.5 concentrations based on ambient monitoring with unmanned aerial vehicles: a case in Hangzhou, China. Atmospheric Environment, 123.
Chacón, L. (2015). Efecto de los incendios forestales sobre la calidad del aire en dos ciudades colombianas. Universidad Nacional de Colombia.
Hernández, D. G. (2019). Las quemas reiteradas reducen carbono del suelo en la Orinoquía. Periódico UNAL. https://periodico.unal.edu.co/articulos/las-quemas-reiteradas-reducen-carbono-del-suelo-en-la-orinoquia/
IDEAM (Instituto de Hidrología, Meteorología y Estudios Ambientales). (2017). Informe del estado de la calidad del aire en Colombia 2011-2015. http://documentacion.ideam.gov.co/
IDEAM (Instituto de Hidrología, Meteorología y Estudios Ambientales). (2018). Atlas climatológico de Colombia. http://documentacion.ideam.gov.co/
IPCC (Intergovernmental Panel on Climate Change). (2007). Intergovernmental Panel on Climate Change. https://archive.ipcc.ch/home_languages_main_spanish.shtml/
NOAA (National Oceanic and Atmospheric Administration). (2021). Carbon dioxide peaks near 420 parts per million at Mauna Loa Observatory. https://research.noaa.gov/coronavirus-response-barely-slows-rising-carbon-dioxide/
Tierra Colombiana. (2019). Región Orinoquía Colombiana. https://tierracolombiana.org/region-orinoquia-de-colombia/
Torinjano Jiménez, D., Osorio Mosquera, A., & Marulanda Tobón, A. (2023). Comparativo de incendios forestales en Colombia a través de instrumentos de teledetección: caso de estudio en la región de la Orinoquía. Investigaciones en gestión del riesgo de desastres para Colombia. Unidad Nacional para la Gestión del Riesgo de Desastres. Gobierrno de Colombia.
Villa, T. F., Salimi, F., Morton. K., Morawska, L., & Gonzalez, F. (2016). An overview of small unmanned aerial vehicles for air quality measurements: Present applications and future perspectives. Sensors, 16. https://doi.org/10.3390/s16122202
Watai, T., Machida, T., Ishizaki, N. & Inoue, G. (2006). A lightweight observation system for atmospheric carbon dioxide concentration using a small unmanned aerial vehicle. Journal of Atmospheric and Oceanic Technology, 23(5), 700-710.
Xiao-Bing, L., Dong-Sheng, W., Qing-Chang, L., Zhong-Ren, P., & Zhan-Yong, W. (2018). Investigating vertical distribution patterns of lower tropospheric PM2.5 using unmanned aerial vehicle measurements. Atmospheric Environment, 173.
Xiao-Bing, L., Dong-Sheng, W., Qing-Chang, L., Zhong-Ren, P., Si-Jia, L., Bai, Li., & Chao, L. (2017). Three-dimensional investigation of ozone pollution in the lower troposphere using an unmanned aerial vehicle platform. Environmental Pollution, 224.
Zhong-Ren, P., Dongsheng, W., Zhanyong, W., Ya, G., & Sijia, L. (2015). A study of vertical distribution patterns of PM2.5 concentrations based on ambient monitoring with unmanned aerial vehicles: a case in Hangzhou, China. Atmospheric Environment, 123.