Remote Sensing Detection of atmospheric pollutants using Lidar, Sodar and correlation with air quality data in an industrial area
Autor(a) principal: | |
---|---|
Data de Publicação: | 2011 |
Outros Autores: | , , , , |
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. |
id |
UNSP_2cda3ef4ec97eb69f21f0aee01dc78d5 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/72806 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
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 instname:Universidade Estadual Paulista (UNESP) 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 |
|
_version_ |
1808128304145760256 |