Short Communication: Pollution-and-greenhouse gases measurement system

This paper presents the design, development and preliminary results of a sensor system that georeferences and measures atmospheric variables, polluting gases and particle pollution on ground level and lower troposphere using an unmanned aerial vehicle. The system can measure dioxide and monoxide of...

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Fecha de publicación:: 2018

Institución:: Universidad de Medellín

Repositorio:: Repositorio UDEM

Idioma:: eng

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dc.title.spa.fl_str_mv	Short Communication: Pollution-and-greenhouse gases measurement system
title	Short Communication: Pollution-and-greenhouse gases measurement system
spellingShingle	Short Communication: Pollution-and-greenhouse gases measurement system Aircraft navigation Atmospherically-variable sensing Particulate matter sensing Sensor systems UAV environmental sensing Air navigation Antennas Atmospheric humidity Greenhouse gases Troposphere Unmanned aerial vehicles (UAV) Aircraft navigation Atmospherically-variable sensing Environmental sensing Particulate Matter Sensor systems Pollution
title_short	Short Communication: Pollution-and-greenhouse gases measurement system
title_full	Short Communication: Pollution-and-greenhouse gases measurement system
title_fullStr	Short Communication: Pollution-and-greenhouse gases measurement system
title_full_unstemmed	Short Communication: Pollution-and-greenhouse gases measurement system
title_sort	Short Communication: Pollution-and-greenhouse gases measurement system
dc.contributor.affiliation.spa.fl_str_mv	Cárdenas, A.M., Universidad de San Buenaventura;Rivera, L.M., Universidad de San Buenaventura;Gómez, B.L., Universidad de San Buenaventura;Valencia, G.M., Universidad de San Buenaventura;Acosta, H.A., Universidad de Medellín;Correa, J.D., Universidad de San Buenaventura
dc.subject.spa.fl_str_mv	Aircraft navigation Atmospherically-variable sensing Particulate matter sensing Sensor systems UAV environmental sensing Air navigation Antennas Atmospheric humidity Greenhouse gases Troposphere Unmanned aerial vehicles (UAV) Aircraft navigation Atmospherically-variable sensing Environmental sensing Particulate Matter Sensor systems Pollution
topic	Aircraft navigation Atmospherically-variable sensing Particulate matter sensing Sensor systems UAV environmental sensing Air navigation Antennas Atmospheric humidity Greenhouse gases Troposphere Unmanned aerial vehicles (UAV) Aircraft navigation Atmospherically-variable sensing Environmental sensing Particulate Matter Sensor systems Pollution
description	This paper presents the design, development and preliminary results of a sensor system that georeferences and measures atmospheric variables, polluting gases and particle pollution on ground level and lower troposphere using an unmanned aerial vehicle. The system can measure dioxide and monoxide of carbon, methane, ozone, different-diameter particle pollution, and variables such as temperature, humidity, among others. Data is registered and processed by a microcontroller system, is saved in a SD card and sent to a ground station using an Xtend radiofrequency system. Atmospheric and pollution data is published in real time on a website; reports could be generated. Some tests were performed in Envigado, Antioquia-Colombia, because the special geographic characteristics of this area increase the concentration of polluting gases in Medellín City troposphere. This equipment facilitates terrestrial and aerial measurements because is a compact and versatile device that allows optimizing predictive models of pollutant gases. © 2018 Elsevier Ltd
publishDate	2018
dc.date.accessioned.none.fl_str_mv	2018-10-31T13:44:22Z
dc.date.available.none.fl_str_mv	2018-10-31T13:44:22Z
dc.date.created.none.fl_str_mv	2018
dc.type.eng.fl_str_mv	Article
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dc.identifier.issn.none.fl_str_mv	2632241
dc.identifier.uri.none.fl_str_mv	http://hdl.handle.net/11407/4895
dc.identifier.doi.none.fl_str_mv	10.1016/j.measurement.2018.07.039
identifier_str_mv	2632241 10.1016/j.measurement.2018.07.039
url	http://hdl.handle.net/11407/4895
dc.language.iso.none.fl_str_mv	eng
language	eng
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dc.relation.citationvolume.spa.fl_str_mv	129
dc.relation.citationstartpage.spa.fl_str_mv	565
dc.relation.citationendpage.spa.fl_str_mv	568
dc.relation.ispartofes.spa.fl_str_mv	Measurement: Journal of the International Measurement Confederation
dc.relation.references.spa.fl_str_mv	Change, Intergovernmental Panel on Climate, (2007) Climate Change 2007: The Physical Science Basis, p. 333. , Agenda;Salazar, A., Baldi, G., Hirota, M., Syktus, J., McAlpine, C., Land use and land cover change impacts on the regional climate of non-Amazonian South America: a review (2015) Global Planet. Change, 128, pp. 103-119;Mander, U., Dotro, G., Ebie, Y., Towprayoon, S., Chiemchaisri, C., Nogueira, S.F., Jamsranjav, B., Tournebize, J., Greenhouse gas emission in constructed wetlands for wastewater treatment: a review (2014) Ecol. Eng., 66, pp. 19-35;Mora, B., Tsendbazar, N.-E., Herold, M., Arino, O., Global land cover mapping: current status and future trends (2014) Land Use and Land Cover Mapping in Europe, pp. 11-30. , Springer;Lasslop, G., Reichstein, M., Papale, D., Richardson, A.D., Arneth, A., Barr, A., Stoy, P., Wohlfahrt, G., Separation of net ecosystem exchange into assimilation and respiration using a light response curve approach: critical issues and global evaluation (2010) Glob. Change Biol., pp. 187-208;Moffat, A.M., Papale, D., Reichstein, M., Hollinger, D.Y., Richardson, A.D., Barr, A.G., Beckstein, C., Desai, A.R., Comprehensive comparison of gap-filling techniques for eddy covariance net carbon fluxes (2007) Agric. For. Meteorol., 147, pp. 209-232;Vinasco, J.P.S., Solís, A.V., Assessment of greenhouse effect gases in sub-superficial flow (2012), p. 15. , Engineering and University: Engineering for Development;(2017), https://fluxnet.ornl.gov/, Fluxnet. 1 30;Thompson, J.E., Crowd-sourced air quality studies: a review of the literature & portable sensors (2016) Trends Environ. Anal. Chem., pp. 23-34;Hu, K., Sivaraman, V., Luxan, B.G., Rahman, A., Design and evaluation of a metropolitan air pollution sensing system (2015) IEEE Sens. J., pp. 1448-1459;Mead, M.I., The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks (2013) Atmos. Environ., pp. 186-203;Oletic, D., Bilas, V., Design of sensor node for air quality crowdsensing (2015) IEEE Sensors Applications Symposium (SAS), pp. 1-5. , IEEE Press Zadar;(2013), https://smartcitizen.me/#sck, Fab Lab Barcelona and Institute for Advanced Architecture of Catalonia, Smart citizen. (accessed February 2017, 20);(2017), http://aircasting.org/, Habitat Map, Air casting., 2016 (accessed February 12);Chiu, C.-Y., Zhang, Z., The air quality evaluation based on gas sensor array (2017) China Semiconductor Technology International Conference (CSTIC), pp. 1-12. , IEEE Press Shanghai;Kersnovski, T., Gonzalez, F., Morton, K., A UAV system for autonomous target detection and gas sensing (2017) IEEE Aerospace Conference, pp. 1-12;Peng, C.-C., Hsu, C.-Y., Integration of an unmanned vehicle and its application to real-time gas detection and monitoring (2015) International Conference on Consumer Electronics (ICCE-TW). Taiwan;Koval, A., Irigoyen, E., Koval, T., AR.Drone as a platform for measurements (2017) IEEE 37th international conference on electronics and nanotechnology (ELNANO), pp. 424-427. , IEEE Press Kyiv;Malaver, R., Jairo, A., Gonzalez, L.F., Motta, N., Villa, T.F., Etse, V.K., Puig, E., Design and flight testing of an integrated solar powered UAV and WSN for greenhouse gas monitoring emissions in agricultural farms (2015) International conference on intelligent robots and systems. Hamburg;(2017), http://charmex.lsce.ipsl.fr/, ChArMEx, The Chemistry-Aerosol Mediterranean Experiment., August 17, 2015 (accessed April 12);Mallet, M., Overview of the chemistry-aerosol mediterranean experiment/aerosol direct radiative forcing on the mediterranean climate (ChArMEx/ADRIMED) summer 2013 campaign (2016) Atmos. Chem. Phys., 16 (2), pp. 455-504;(2017), http://www.skypolaris.org/, Sky Polaris. SkyPolaris. (accessed April 16);Andrés, M., (2015), Cárdenas, et al., Mobile Equipment for the Geo-referencing and Monitoring of Air Quality and Greenhouse Gases, Colombia Patent, October 21;Sharma, P., Software Engineering (2011), APH Publishing Corporation New Delhi
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dc.publisher.spa.fl_str_mv	Elsevier B.V.
dc.publisher.program.spa.fl_str_mv	Ingeniería Ambiental
dc.publisher.faculty.spa.fl_str_mv	Facultad de Ingenierías
dc.source.spa.fl_str_mv	Scopus
institution	Universidad de Medellín
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spelling	2018-10-31T13:44:22Z2018-10-31T13:44:22Z20182632241http://hdl.handle.net/11407/489510.1016/j.measurement.2018.07.039This paper presents the design, development and preliminary results of a sensor system that georeferences and measures atmospheric variables, polluting gases and particle pollution on ground level and lower troposphere using an unmanned aerial vehicle. The system can measure dioxide and monoxide of carbon, methane, ozone, different-diameter particle pollution, and variables such as temperature, humidity, among others. Data is registered and processed by a microcontroller system, is saved in a SD card and sent to a ground station using an Xtend radiofrequency system. Atmospheric and pollution data is published in real time on a website; reports could be generated. Some tests were performed in Envigado, Antioquia-Colombia, because the special geographic characteristics of this area increase the concentration of polluting gases in Medellín City troposphere. This equipment facilitates terrestrial and aerial measurements because is a compact and versatile device that allows optimizing predictive models of pollutant gases. © 2018 Elsevier LtdengElsevier B.V.Ingeniería AmbientalFacultad de Ingenieríashttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85050779688&doi=10.1016%2fj.measurement.2018.07.039&partnerID=40&md5=04f881d26465fa82c3794c854640d8c1129565568Measurement: Journal of the International Measurement ConfederationChange, Intergovernmental Panel on Climate, (2007) Climate Change 2007: The Physical Science Basis, p. 333. , Agenda;Salazar, A., Baldi, G., Hirota, M., Syktus, J., McAlpine, C., Land use and land cover change impacts on the regional climate of non-Amazonian South America: a review (2015) Global Planet. Change, 128, pp. 103-119;Mander, U., Dotro, G., Ebie, Y., Towprayoon, S., Chiemchaisri, C., Nogueira, S.F., Jamsranjav, B., Tournebize, J., Greenhouse gas emission in constructed wetlands for wastewater treatment: a review (2014) Ecol. Eng., 66, pp. 19-35;Mora, B., Tsendbazar, N.-E., Herold, M., Arino, O., Global land cover mapping: current status and future trends (2014) Land Use and Land Cover Mapping in Europe, pp. 11-30. , Springer;Lasslop, G., Reichstein, M., Papale, D., Richardson, A.D., Arneth, A., Barr, A., Stoy, P., Wohlfahrt, G., Separation of net ecosystem exchange into assimilation and respiration using a light response curve approach: critical issues and global evaluation (2010) Glob. Change Biol., pp. 187-208;Moffat, A.M., Papale, D., Reichstein, M., Hollinger, D.Y., Richardson, A.D., Barr, A.G., Beckstein, C., Desai, A.R., Comprehensive comparison of gap-filling techniques for eddy covariance net carbon fluxes (2007) Agric. For. Meteorol., 147, pp. 209-232;Vinasco, J.P.S., Solís, A.V., Assessment of greenhouse effect gases in sub-superficial flow (2012), p. 15. , Engineering and University: Engineering for Development;(2017), https://fluxnet.ornl.gov/, Fluxnet. 1 30;Thompson, J.E., Crowd-sourced air quality studies: a review of the literature & portable sensors (2016) Trends Environ. Anal. Chem., pp. 23-34;Hu, K., Sivaraman, V., Luxan, B.G., Rahman, A., Design and evaluation of a metropolitan air pollution sensing system (2015) IEEE Sens. J., pp. 1448-1459;Mead, M.I., The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks (2013) Atmos. Environ., pp. 186-203;Oletic, D., Bilas, V., Design of sensor node for air quality crowdsensing (2015) IEEE Sensors Applications Symposium (SAS), pp. 1-5. , IEEE Press Zadar;(2013), https://smartcitizen.me/#sck, Fab Lab Barcelona and Institute for Advanced Architecture of Catalonia, Smart citizen. (accessed February 2017, 20);(2017), http://aircasting.org/, Habitat Map, Air casting., 2016 (accessed February 12);Chiu, C.-Y., Zhang, Z., The air quality evaluation based on gas sensor array (2017) China Semiconductor Technology International Conference (CSTIC), pp. 1-12. , IEEE Press Shanghai;Kersnovski, T., Gonzalez, F., Morton, K., A UAV system for autonomous target detection and gas sensing (2017) IEEE Aerospace Conference, pp. 1-12;Peng, C.-C., Hsu, C.-Y., Integration of an unmanned vehicle and its application to real-time gas detection and monitoring (2015) International Conference on Consumer Electronics (ICCE-TW). Taiwan;Koval, A., Irigoyen, E., Koval, T., AR.Drone as a platform for measurements (2017) IEEE 37th international conference on electronics and nanotechnology (ELNANO), pp. 424-427. , IEEE Press Kyiv;Malaver, R., Jairo, A., Gonzalez, L.F., Motta, N., Villa, T.F., Etse, V.K., Puig, E., Design and flight testing of an integrated solar powered UAV and WSN for greenhouse gas monitoring emissions in agricultural farms (2015) International conference on intelligent robots and systems. Hamburg;(2017), http://charmex.lsce.ipsl.fr/, ChArMEx, The Chemistry-Aerosol Mediterranean Experiment., August 17, 2015 (accessed April 12);Mallet, M., Overview of the chemistry-aerosol mediterranean experiment/aerosol direct radiative forcing on the mediterranean climate (ChArMEx/ADRIMED) summer 2013 campaign (2016) Atmos. Chem. Phys., 16 (2), pp. 455-504;(2017), http://www.skypolaris.org/, Sky Polaris. SkyPolaris. (accessed April 16);Andrés, M., (2015), Cárdenas, et al., Mobile Equipment for the Geo-referencing and Monitoring of Air Quality and Greenhouse Gases, Colombia Patent, October 21;Sharma, P., Software Engineering (2011), APH Publishing Corporation New DelhiScopusAircraft navigationAtmospherically-variable sensingParticulate matter sensingSensor systemsUAV environmental sensingAir navigationAntennasAtmospheric humidityGreenhouse gasesTroposphereUnmanned aerial vehicles (UAV)Aircraft navigationAtmospherically-variable sensingEnvironmental sensingParticulate MatterSensor systemsPollutionShort Communication: Pollution-and-greenhouse gases measurement systemArticleinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Cárdenas, A.M., Universidad de San Buenaventura;Rivera, L.M., Universidad de San Buenaventura;Gómez, B.L., Universidad de San Buenaventura;Valencia, G.M., Universidad de San Buenaventura;Acosta, H.A., Universidad de Medellín;Correa, J.D., Universidad de San BuenaventuraCárdenas A.M.Rivera L.M.Gómez B.L.Valencia G.M.Acosta H.A.Correa J.D.http://purl.org/coar/access_right/c_16ecTHUMBNAILportada.JPGportada.JPGimage/jpeg16012http://repository.udem.edu.co/bitstream/11407/4895/1/portada.JPGa2b19dd7473ca9d10b2c75f3c8093f75MD5111407/4895oai:repository.udem.edu.co:11407/48952020-05-27 15:46:57.72Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co

Short Communication: Pollution-and-greenhouse gases measurement system

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