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Jennifer R. Boehme and Mark Wells University of Maine Darling Marine Center

Ballast Water Exchange Verification Using the Optical Characteristics of Dissolved Organic Matter. Jennifer R. Boehme and Mark Wells University of Maine Darling Marine Center. Species Transport via Ballast Water. 10,000s of organisms daily transported in ballast tanks

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Jennifer R. Boehme and Mark Wells University of Maine Darling Marine Center

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  1. Ballast Water Exchange Verification Using the Optical Characteristics of Dissolved Organic Matter Jennifer R. Boehme and Mark Wells University of Maine Darling Marine Center

  2. Species Transport via Ballast Water • 10,000s of organisms daily transported in ballast tanks • 21 billion gallons of ballast discharged in North America annually • Treatment measures up to 10 years away Ballast water exchange locations (SERC) Goal - Reduce invasive species transport BWE currently the only accepted means of controlling spread of exotic species Murphy et al., 2004 U.S. moving quickly towards mandatory exchange for all vessels

  3. 450 350 250 300 300 400 400 500 500 Emission (nm) Emission (nm) Ballast Water Exchange - Verification • Monitoring challenge Salinity methods not always definitive • Optical characteristics of seawater - chromophoric dissolved organic matter (CDOM) Absorbance Fluorescence via Excitation Emission Matrix Spectroscopy Fluorescence (QSE) Excitation (nm) C/M A

  4. World Oceans - CDOM Variability Seasonality and Photochemistry Summer BATS seasonal CDOM absorption (Nelson and Siegel, 2002) Winter

  5. World Oceans - CDOM Variability Biological Productivity http://seawifs.gsfc.nasa.gov/SEAWIFS/IMAGES/IMAGES.html

  6. World Oceans - CDOM Variability Terrestrial Runoff August 2000 Boehme et al., 2004

  7. World Oceans - CDOM Variability What We Know • Observed Seasonal Changes • Biological production • Photochemistry • Terrestrial runoff • Species Composition? In addition, potential for CDOM variability based on differences in regional ecology

  8. World Oceans - Biogeochemical Provinces Pauly et al., ICES 2000 Annual Science Conference

  9. DOM Variability - Statistics ??? Statistics are useful in discriminating changes in DOM fluorescence via EEMS • Mahlinobis distance (Murphy et al, 2004); 12 wavelength pairs • PARAFAC (Stedmon et al., 2003); 3d • Principal Component Analysis – PCA (Boehme et al., 2004); 3d

  10. DOM Variability - PCA PC2 NEGOM, 1997-2000 • Clusters: similar EEM, water masses PC1

  11. DOM Variability - PCA • Over 600 samples • Water masses identified • Basis for global database PC2 PC1

  12. DOM Variability – PCA and Ballast Water Exchange • PCA of fluorescence data set from Murphy, et al. 2004

  13. Future work – instrument development Two routes, one issue… A B UN Atlas of the Oceans

  14. Future work – instrument development Case I: Verified exchange A UN Atlas of the Oceans

  15. Future work – instrument development Case II: more testing B UN Atlas of the Oceans

  16. Summary • Ballast water exchange requirements • USCG currently looking for verification test • DOM fluorescence a promising method, independent of port salinity • Utility of statistical tests with EEMS provides a method of ballast water exchange verification

  17. End

  18. Ballast Water Exchange - Verification • Fluorescence diagnostic properties • Changes of Wavelength, Spectral bandwidth, • Fluorescence Intensity • Effectiveness based on our understanding of DOM variability in the global oceans • Quantify seasonal and spatial differences Results : fluorescence of CDOM has the greater potential for determining ballast water exchange Murphy et al., Final Report to USCG R&D Center, 2001

  19. World Oceans - CDOM Variability Photochemistry • Significant for removal of terrestrial CDOM in coastal waters • Alters bioavailability of CDOM • Alters measured fluorescence and absorption characteristics Siegel et al., 2002

  20. DOM Variability - PCA ??? PC2 NEGOM, 1997-2000 Scores: differences between samples PC1

  21. Future work – instrument development Where can we go from here? • 3d EEMS based on CCD technology • Fiber optic probes • Software development • incorporate statistical comparisons Spex 3D, JY Horiba

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