The Experts below are selected from a list of 2889 Experts worldwide ranked by ideXlab platform
Molly Reif - One of the best experts on this subject based on the ideXlab platform.
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state of the art satellite and airborne marine oil spill remote sensing application to the bp deepwater horizon oil spill
Remote Sensing of Environment, 2012Co-Authors: Ira Leifer, William J Lehr, Debra Simecekbeatty, Eliza S Bradley, Roger N Clark, Philip E Dennison, Scott Matheson, Cathleen E Jones, Benjamin Holt, Molly ReifAbstract:Abstract The vast and persistent Deepwater Horizon (DWH) spill challenged response capabilities, which required accurate, quantitative oil assessment at synoptic and operational scales. Although experienced observers are a spill response's mainstay, few trained observers and confounding factors including weather, oil emulsification, and scene illumination geometry present challenges. DWH spill and impact monitoring was aided by extensive airborne and spaceborne passive and active remote sensing. Oil slick thickness and oil-to-water emulsion ratios are key spill response parameters for containment/cleanup and were derived quantitatively for thick (> 0.1 mm) slicks from AVIRIS (Airborne Visible/Infrared Imaging Spectrometer) data using a spectral library approach based on the shape and depth of near infrared spectral absorption features. MODIS (Moderate Resolution Imaging Spectroradiometer) satellite, visible-spectrum broadband data of surface-slick modulation of sunglint reflection allowed extrapolation to the total slick. A multispectral expert system used a neural network approach to provide Rapid Response thickness class maps. Airborne and satellite synthetic aperture radar (SAR) provides synoptic data under all-sky conditions; however, SAR generally cannot discriminate thick (> 100 μm) oil slicks from thin sheens (to 0.1 μm). The UAVSAR's (Uninhabited Aerial Vehicle SAR) significantly greater signal-to-noise ratio and finer spatial resolution allowed successful pattern discrimination related to a combination of oil slick thickness, fractional surface coverage, and emulsification. In situ burning and smoke plumes were studied with AVIRIS and corroborated spaceborne CALIPSO (Cloud Aerosol Lidar and Infrared Pathfinder Satellite Observation) observations of combustion aerosols. CALIPSO and bathymetry lidar data documented shallow subsurface oil, although ancillary data were required for confirmation. Airborne hyperspectral, thermal infrared data have nighttime and overcast collection advantages and were collected as well as MODIS thermal data. However, interpretation challenges and a lack of Rapid Response Products prevented significant use. Rapid Response Products were key to response utilization—data needs are time critical; thus, a high Technological Readiness Level is critical to operational use of remote sensing products. DWH's experience demonstrated that development and operationalization of new spill response remote sensing tools must precede the next major oil spill.
Moulin Philippe - One of the best experts on this subject based on the ideXlab platform.
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Ballast water treatment by membrane processes
HAL CCSD, 2018Co-Authors: Guilbaud Julie, Wyart Yvan, Kaag Klaas, Moulin PhilippeAbstract:International audienceNon-native aquatic species can be introduced in new areas through emptying of the ballast tanks. These introductions induce a high impact on health, economy and environment. This is considered by the International Maritime Organization (IMO): the Ballast Water and Sediments (BMW Convention) entered into force on 8 September 2017 and opens the market for ballast water treatment. The major contribution and novelty of this study is to show successful ballast water treatment using an ultrafiltration process at industrial scale with a high Technological Readiness Level, in order to show the applicability of the ultrafiltration processes for ballast water treatment. Another aim is to compare UV and ultrafiltration treatments applied to fresh water and seawater, from an economic perspective. This comparison accounts for the positioning of the treatment and the specific constraints associated to this positioning. The best membrane processes and the operating conditions were determined for fresh and seawater
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Comparison of seawater and freshwater ultrafiltration on semi-industrial scale: ballast water treatment application
FIMTEC Membrane Processes Research Laboratory, 2018Co-Authors: Guilbaud Julie, Wyart Yvan, Kaag Klaas, Moulin PhilippeAbstract:International audienceNon-native aquatic species can be introduced in new areas through emptying of the ballast tanks, with a high impact on health, economy and environment. This is considered by the International Maritime Organization (IMO): (i) in 2004, the IMO adopted the International Convention for the Control and Management of Ships' Ballast Water and Sediments (BMW Convention) in order to diminish the risk of introducing harmful and/or potentially invasive species through ballast water. (ii) the BWM Convention entered into force on 8 September 2017 and could opens a new market for ballast water treatment. The aim for industry is to operate with an acceptable fouling rate between cleaning steps. Indeed, if fouling rates are low, clean in place will be infrequent. The aim of this work is to develop a sustainable ultrafiltration system designed for ballast water treatment and the first step is to have a better understanding of membrane fouling in relation to intake water variations. The major contribution and novelty of this study is successful ballast water treatment using an ultrafiltration process at industrial scale a high Technological Readiness Level in order to show the applicability of the ultrafiltration processes for the ballast water treatment. In this study operating conditions were determined for seawater and freshwater conditions
Ira Leifer - One of the best experts on this subject based on the ideXlab platform.
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state of the art satellite and airborne marine oil spill remote sensing application to the bp deepwater horizon oil spill
Remote Sensing of Environment, 2012Co-Authors: Ira Leifer, William J Lehr, Debra Simecekbeatty, Eliza S Bradley, Roger N Clark, Philip E Dennison, Scott Matheson, Cathleen E Jones, Benjamin Holt, Molly ReifAbstract:Abstract The vast and persistent Deepwater Horizon (DWH) spill challenged response capabilities, which required accurate, quantitative oil assessment at synoptic and operational scales. Although experienced observers are a spill response's mainstay, few trained observers and confounding factors including weather, oil emulsification, and scene illumination geometry present challenges. DWH spill and impact monitoring was aided by extensive airborne and spaceborne passive and active remote sensing. Oil slick thickness and oil-to-water emulsion ratios are key spill response parameters for containment/cleanup and were derived quantitatively for thick (> 0.1 mm) slicks from AVIRIS (Airborne Visible/Infrared Imaging Spectrometer) data using a spectral library approach based on the shape and depth of near infrared spectral absorption features. MODIS (Moderate Resolution Imaging Spectroradiometer) satellite, visible-spectrum broadband data of surface-slick modulation of sunglint reflection allowed extrapolation to the total slick. A multispectral expert system used a neural network approach to provide Rapid Response thickness class maps. Airborne and satellite synthetic aperture radar (SAR) provides synoptic data under all-sky conditions; however, SAR generally cannot discriminate thick (> 100 μm) oil slicks from thin sheens (to 0.1 μm). The UAVSAR's (Uninhabited Aerial Vehicle SAR) significantly greater signal-to-noise ratio and finer spatial resolution allowed successful pattern discrimination related to a combination of oil slick thickness, fractional surface coverage, and emulsification. In situ burning and smoke plumes were studied with AVIRIS and corroborated spaceborne CALIPSO (Cloud Aerosol Lidar and Infrared Pathfinder Satellite Observation) observations of combustion aerosols. CALIPSO and bathymetry lidar data documented shallow subsurface oil, although ancillary data were required for confirmation. Airborne hyperspectral, thermal infrared data have nighttime and overcast collection advantages and were collected as well as MODIS thermal data. However, interpretation challenges and a lack of Rapid Response Products prevented significant use. Rapid Response Products were key to response utilization—data needs are time critical; thus, a high Technological Readiness Level is critical to operational use of remote sensing products. DWH's experience demonstrated that development and operationalization of new spill response remote sensing tools must precede the next major oil spill.
Debra Simecekbeatty - One of the best experts on this subject based on the ideXlab platform.
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state of the art satellite and airborne marine oil spill remote sensing application to the bp deepwater horizon oil spill
Remote Sensing of Environment, 2012Co-Authors: Ira Leifer, William J Lehr, Debra Simecekbeatty, Eliza S Bradley, Roger N Clark, Philip E Dennison, Scott Matheson, Cathleen E Jones, Benjamin Holt, Molly ReifAbstract:Abstract The vast and persistent Deepwater Horizon (DWH) spill challenged response capabilities, which required accurate, quantitative oil assessment at synoptic and operational scales. Although experienced observers are a spill response's mainstay, few trained observers and confounding factors including weather, oil emulsification, and scene illumination geometry present challenges. DWH spill and impact monitoring was aided by extensive airborne and spaceborne passive and active remote sensing. Oil slick thickness and oil-to-water emulsion ratios are key spill response parameters for containment/cleanup and were derived quantitatively for thick (> 0.1 mm) slicks from AVIRIS (Airborne Visible/Infrared Imaging Spectrometer) data using a spectral library approach based on the shape and depth of near infrared spectral absorption features. MODIS (Moderate Resolution Imaging Spectroradiometer) satellite, visible-spectrum broadband data of surface-slick modulation of sunglint reflection allowed extrapolation to the total slick. A multispectral expert system used a neural network approach to provide Rapid Response thickness class maps. Airborne and satellite synthetic aperture radar (SAR) provides synoptic data under all-sky conditions; however, SAR generally cannot discriminate thick (> 100 μm) oil slicks from thin sheens (to 0.1 μm). The UAVSAR's (Uninhabited Aerial Vehicle SAR) significantly greater signal-to-noise ratio and finer spatial resolution allowed successful pattern discrimination related to a combination of oil slick thickness, fractional surface coverage, and emulsification. In situ burning and smoke plumes were studied with AVIRIS and corroborated spaceborne CALIPSO (Cloud Aerosol Lidar and Infrared Pathfinder Satellite Observation) observations of combustion aerosols. CALIPSO and bathymetry lidar data documented shallow subsurface oil, although ancillary data were required for confirmation. Airborne hyperspectral, thermal infrared data have nighttime and overcast collection advantages and were collected as well as MODIS thermal data. However, interpretation challenges and a lack of Rapid Response Products prevented significant use. Rapid Response Products were key to response utilization—data needs are time critical; thus, a high Technological Readiness Level is critical to operational use of remote sensing products. DWH's experience demonstrated that development and operationalization of new spill response remote sensing tools must precede the next major oil spill.
Benjamin Holt - One of the best experts on this subject based on the ideXlab platform.
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state of the art satellite and airborne marine oil spill remote sensing application to the bp deepwater horizon oil spill
Remote Sensing of Environment, 2012Co-Authors: Ira Leifer, William J Lehr, Debra Simecekbeatty, Eliza S Bradley, Roger N Clark, Philip E Dennison, Scott Matheson, Cathleen E Jones, Benjamin Holt, Molly ReifAbstract:Abstract The vast and persistent Deepwater Horizon (DWH) spill challenged response capabilities, which required accurate, quantitative oil assessment at synoptic and operational scales. Although experienced observers are a spill response's mainstay, few trained observers and confounding factors including weather, oil emulsification, and scene illumination geometry present challenges. DWH spill and impact monitoring was aided by extensive airborne and spaceborne passive and active remote sensing. Oil slick thickness and oil-to-water emulsion ratios are key spill response parameters for containment/cleanup and were derived quantitatively for thick (> 0.1 mm) slicks from AVIRIS (Airborne Visible/Infrared Imaging Spectrometer) data using a spectral library approach based on the shape and depth of near infrared spectral absorption features. MODIS (Moderate Resolution Imaging Spectroradiometer) satellite, visible-spectrum broadband data of surface-slick modulation of sunglint reflection allowed extrapolation to the total slick. A multispectral expert system used a neural network approach to provide Rapid Response thickness class maps. Airborne and satellite synthetic aperture radar (SAR) provides synoptic data under all-sky conditions; however, SAR generally cannot discriminate thick (> 100 μm) oil slicks from thin sheens (to 0.1 μm). The UAVSAR's (Uninhabited Aerial Vehicle SAR) significantly greater signal-to-noise ratio and finer spatial resolution allowed successful pattern discrimination related to a combination of oil slick thickness, fractional surface coverage, and emulsification. In situ burning and smoke plumes were studied with AVIRIS and corroborated spaceborne CALIPSO (Cloud Aerosol Lidar and Infrared Pathfinder Satellite Observation) observations of combustion aerosols. CALIPSO and bathymetry lidar data documented shallow subsurface oil, although ancillary data were required for confirmation. Airborne hyperspectral, thermal infrared data have nighttime and overcast collection advantages and were collected as well as MODIS thermal data. However, interpretation challenges and a lack of Rapid Response Products prevented significant use. Rapid Response Products were key to response utilization—data needs are time critical; thus, a high Technological Readiness Level is critical to operational use of remote sensing products. DWH's experience demonstrated that development and operationalization of new spill response remote sensing tools must precede the next major oil spill.
