Remote Sensing Detection of atmospheric pollutants using Lidar, Sodar and correlation with air quality data in an industrial area

Detalhes bibliográficos
Autor(a) principal: Steffens, Juliana
Data de Publicação: 2011
Outros Autores: Da Costa, Renata F., Landulfo, Eduardo, Guardani, Roberto, F.moreira, Paulo, Held, Gerhard [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1117/12.897915
http://hdl.handle.net/11449/72806
Resumo: Optical remote sensing techniques have obvious advantages for monitoring gas and aerosol emissions, since they enable the operation over large distances, far from hostile environments, and fast processing of the measured signal. In this study two remote sensing devices, namely a Lidar (Light Detection and Ranging) for monitoring the vertical profile of backscattered light intensity, and a Sodar (Acoustic Radar, Sound Detection and Ranging) for monitoring the vertical profile of the wind vector were operated during specific periods. The acquired data were processed and compared with data of air quality obtained from ground level monitoring stations, in order to verify the possibility of using the remote sensing techniques to monitor industrial emissions. The campaigns were carried out in the area of the Environmental Research Center (Cepema) of the University of São Paulo, in the city of Cubatão, Brazil, a large industrial site, where numerous different industries are located, including an oil refinery, a steel plant, as well as fertilizer, cement and chemical/petrochemical plants. The local environmental problems caused by the industrial activities are aggravated by the climate and topography of the site, unfavorable to pollutant dispersion. Results of a campaign are presented for a 24- hour period, showing data of a Lidar, an air quality monitoring station and a Sodar. © 2011 SPIE.
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spelling Remote Sensing Detection of atmospheric pollutants using Lidar, Sodar and correlation with air quality data in an industrial areaAir qualityLidar techniqueSodarVertical profiles of lidar & sodar observationsAcoustic radarsAerosol emissionsAir quality dataAir quality monitoring stationsAtmospheric pollutantsBackscattered lightEnvironmental problemsEnvironmental researchesGround levelHostile environmentsIndustrial activitiesIndustrial areaIndustrial sitesLIDAR (light detection and ranging)Measured signalsMonitoring stationsOil refineriesOptical remote sensingPollutant dispersionsRemote sensing techniquesSensing devicesSound detection and rangingSteel plantVertical profileWind vectorsCement industryGas emissionsIndustrial emissionsMonitoringOptical correlationPetroleum refineriesPollution detectionRemote sensingSteelmakingTracking radarWind powerOptical radarOptical remote sensing techniques have obvious advantages for monitoring gas and aerosol emissions, since they enable the operation over large distances, far from hostile environments, and fast processing of the measured signal. In this study two remote sensing devices, namely a Lidar (Light Detection and Ranging) for monitoring the vertical profile of backscattered light intensity, and a Sodar (Acoustic Radar, Sound Detection and Ranging) for monitoring the vertical profile of the wind vector were operated during specific periods. The acquired data were processed and compared with data of air quality obtained from ground level monitoring stations, in order to verify the possibility of using the remote sensing techniques to monitor industrial emissions. The campaigns were carried out in the area of the Environmental Research Center (Cepema) of the University of São Paulo, in the city of Cubatão, Brazil, a large industrial site, where numerous different industries are located, including an oil refinery, a steel plant, as well as fertilizer, cement and chemical/petrochemical plants. The local environmental problems caused by the industrial activities are aggravated by the climate and topography of the site, unfavorable to pollutant dispersion. Results of a campaign are presented for a 24- hour period, showing data of a Lidar, an air quality monitoring station and a Sodar. © 2011 SPIE.Escola Politécnica da Universidade de São Paulo, Avenida Gualberto 2345, São Paulo, 05508-970Instituto de Pesquisas Energéticas e Nucleares, Avenida Prof. Lineu Prestes 2242, São Paulo, 05508-000Instituto de Pesquisas Meteorológicas - IPMet-UNESP, Av. Luis Edmundo Carrijo Coube, Bauru, São Paulo, 17033-360Instituto de Pesquisas Meteorológicas - IPMet-UNESP, Av. Luis Edmundo Carrijo Coube, Bauru, São Paulo, 17033-360Universidade de São Paulo (USP)Instituto de Pesquisas Energéticas e Nucleares (IPEN)Universidade Estadual Paulista (Unesp)Steffens, JulianaDa Costa, Renata F.Landulfo, EduardoGuardani, RobertoF.moreira, PauloHeld, Gerhard [UNESP]2014-05-27T11:26:07Z2014-05-27T11:26:07Z2011-11-17info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1117/12.897915Proceedings of SPIE - The International Society for Optical Engineering, v. 8182.0277-786Xhttp://hdl.handle.net/11449/7280610.1117/12.8979152-s2.0-81055138476Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of SPIE - The International Society for Optical Engineeringinfo:eu-repo/semantics/openAccess2021-10-23T21:41:25Zoai:repositorio.unesp.br:11449/72806Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:01:19.145395Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Remote Sensing Detection of atmospheric pollutants using Lidar, Sodar and correlation with air quality data in an industrial area
title Remote Sensing Detection of atmospheric pollutants using Lidar, Sodar and correlation with air quality data in an industrial area
spellingShingle Remote Sensing Detection of atmospheric pollutants using Lidar, Sodar and correlation with air quality data in an industrial area
Steffens, Juliana
Air quality
Lidar technique
Sodar
Vertical profiles of lidar & sodar observations
Acoustic radars
Aerosol emissions
Air quality data
Air quality monitoring stations
Atmospheric pollutants
Backscattered light
Environmental problems
Environmental researches
Ground level
Hostile environments
Industrial activities
Industrial area
Industrial sites
LIDAR (light detection and ranging)
Measured signals
Monitoring stations
Oil refineries
Optical remote sensing
Pollutant dispersions
Remote sensing techniques
Sensing devices
Sound detection and ranging
Steel plant
Vertical profile
Wind vectors
Cement industry
Gas emissions
Industrial emissions
Monitoring
Optical correlation
Petroleum refineries
Pollution detection
Remote sensing
Steelmaking
Tracking radar
Wind power
Optical radar
title_short Remote Sensing Detection of atmospheric pollutants using Lidar, Sodar and correlation with air quality data in an industrial area
title_full Remote Sensing Detection of atmospheric pollutants using Lidar, Sodar and correlation with air quality data in an industrial area
title_fullStr Remote Sensing Detection of atmospheric pollutants using Lidar, Sodar and correlation with air quality data in an industrial area
title_full_unstemmed Remote Sensing Detection of atmospheric pollutants using Lidar, Sodar and correlation with air quality data in an industrial area
title_sort Remote Sensing Detection of atmospheric pollutants using Lidar, Sodar and correlation with air quality data in an industrial area
author Steffens, Juliana
author_facet Steffens, Juliana
Da Costa, Renata F.
Landulfo, Eduardo
Guardani, Roberto
F.moreira, Paulo
Held, Gerhard [UNESP]
author_role author
author2 Da Costa, Renata F.
Landulfo, Eduardo
Guardani, Roberto
F.moreira, Paulo
Held, Gerhard [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Instituto de Pesquisas Energéticas e Nucleares (IPEN)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Steffens, Juliana
Da Costa, Renata F.
Landulfo, Eduardo
Guardani, Roberto
F.moreira, Paulo
Held, Gerhard [UNESP]
dc.subject.por.fl_str_mv Air quality
Lidar technique
Sodar
Vertical profiles of lidar & sodar observations
Acoustic radars
Aerosol emissions
Air quality data
Air quality monitoring stations
Atmospheric pollutants
Backscattered light
Environmental problems
Environmental researches
Ground level
Hostile environments
Industrial activities
Industrial area
Industrial sites
LIDAR (light detection and ranging)
Measured signals
Monitoring stations
Oil refineries
Optical remote sensing
Pollutant dispersions
Remote sensing techniques
Sensing devices
Sound detection and ranging
Steel plant
Vertical profile
Wind vectors
Cement industry
Gas emissions
Industrial emissions
Monitoring
Optical correlation
Petroleum refineries
Pollution detection
Remote sensing
Steelmaking
Tracking radar
Wind power
Optical radar
topic Air quality
Lidar technique
Sodar
Vertical profiles of lidar & sodar observations
Acoustic radars
Aerosol emissions
Air quality data
Air quality monitoring stations
Atmospheric pollutants
Backscattered light
Environmental problems
Environmental researches
Ground level
Hostile environments
Industrial activities
Industrial area
Industrial sites
LIDAR (light detection and ranging)
Measured signals
Monitoring stations
Oil refineries
Optical remote sensing
Pollutant dispersions
Remote sensing techniques
Sensing devices
Sound detection and ranging
Steel plant
Vertical profile
Wind vectors
Cement industry
Gas emissions
Industrial emissions
Monitoring
Optical correlation
Petroleum refineries
Pollution detection
Remote sensing
Steelmaking
Tracking radar
Wind power
Optical radar
description Optical remote sensing techniques have obvious advantages for monitoring gas and aerosol emissions, since they enable the operation over large distances, far from hostile environments, and fast processing of the measured signal. In this study two remote sensing devices, namely a Lidar (Light Detection and Ranging) for monitoring the vertical profile of backscattered light intensity, and a Sodar (Acoustic Radar, Sound Detection and Ranging) for monitoring the vertical profile of the wind vector were operated during specific periods. The acquired data were processed and compared with data of air quality obtained from ground level monitoring stations, in order to verify the possibility of using the remote sensing techniques to monitor industrial emissions. The campaigns were carried out in the area of the Environmental Research Center (Cepema) of the University of São Paulo, in the city of Cubatão, Brazil, a large industrial site, where numerous different industries are located, including an oil refinery, a steel plant, as well as fertilizer, cement and chemical/petrochemical plants. The local environmental problems caused by the industrial activities are aggravated by the climate and topography of the site, unfavorable to pollutant dispersion. Results of a campaign are presented for a 24- hour period, showing data of a Lidar, an air quality monitoring station and a Sodar. © 2011 SPIE.
publishDate 2011
dc.date.none.fl_str_mv 2011-11-17
2014-05-27T11:26:07Z
2014-05-27T11:26:07Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1117/12.897915
Proceedings of SPIE - The International Society for Optical Engineering, v. 8182.
0277-786X
http://hdl.handle.net/11449/72806
10.1117/12.897915
2-s2.0-81055138476
url http://dx.doi.org/10.1117/12.897915
http://hdl.handle.net/11449/72806
identifier_str_mv Proceedings of SPIE - The International Society for Optical Engineering, v. 8182.
0277-786X
10.1117/12.897915
2-s2.0-81055138476
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings of SPIE - The International Society for Optical Engineering
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
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instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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