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

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorSteffens, Juliana
dc.creatorDa Costa, Renata F.
dc.creatorLandulfo, Eduardo
dc.creatorGuardani, Roberto
dc.creatorF.moreira, Paulo
dc.creatorHeld, Gerhard
dc.date2014-05-27T11:26:07Z
dc.date2016-10-25T18:35:29Z
dc.date2014-05-27T11:26:07Z
dc.date2016-10-25T18:35:29Z
dc.date2011-11-17
dc.date.accessioned2017-04-06T01:53:39Z
dc.date.available2017-04-06T01:53:39Z
dc.identifierProceedings of SPIE - The International Society for Optical Engineering, v. 8182.
dc.identifier0277-786X
dc.identifierhttp://hdl.handle.net/11449/72806
dc.identifierhttp://acervodigital.unesp.br/handle/11449/72806
dc.identifier10.1117/12.897915
dc.identifier2-s2.0-81055138476
dc.identifierhttp://dx.doi.org/10.1117/12.897915
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/893643
dc.descriptionOptical 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.
dc.languageeng
dc.relationProceedings of SPIE - The International Society for Optical Engineering
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAir quality
dc.subjectLidar technique
dc.subjectSodar
dc.subjectVertical profiles of lidar & sodar observations
dc.subjectAcoustic radars
dc.subjectAerosol emissions
dc.subjectAir quality data
dc.subjectAir quality monitoring stations
dc.subjectAtmospheric pollutants
dc.subjectBackscattered light
dc.subjectEnvironmental problems
dc.subjectEnvironmental researches
dc.subjectGround level
dc.subjectHostile environments
dc.subjectIndustrial activities
dc.subjectIndustrial area
dc.subjectIndustrial sites
dc.subjectLIDAR (light detection and ranging)
dc.subjectMeasured signals
dc.subjectMonitoring stations
dc.subjectOil refineries
dc.subjectOptical remote sensing
dc.subjectPollutant dispersions
dc.subjectRemote sensing techniques
dc.subjectSensing devices
dc.subjectSound detection and ranging
dc.subjectSteel plant
dc.subjectVertical profile
dc.subjectWind vectors
dc.subjectCement industry
dc.subjectGas emissions
dc.subjectIndustrial emissions
dc.subjectMonitoring
dc.subjectOptical correlation
dc.subjectPetroleum refineries
dc.subjectPollution detection
dc.subjectRemote sensing
dc.subjectSteelmaking
dc.subjectTracking radar
dc.subjectWind power
dc.subjectOptical radar
dc.titleRemote Sensing Detection of atmospheric pollutants using Lidar, Sodar and correlation with air quality data in an industrial area
dc.typeOtro


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