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

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Presentation on theme: "Ballast Water Exchange Verification Using the Optical Characteristics of Dissolved Organic Matter Jennifer R. Boehme and Mark Wells University of Maine."— Presentation transcript:

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 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 Species Transport via Ballast Water 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 Ballast water exchange locations ( SERC)

3 Ballast Water Exchange - Verification 450 350 250 Excitation (nm) A C/M 300400500 Emission (nm) Monitoring challenge Monitoring challenge Salinity methods not always definitive Optical characteristics of seawater - chromophoric dissolved organic matter (CDOM) Optical characteristics of seawater - chromophoric dissolved organic matter (CDOM) Absorbance Fluorescence via Excitation Emission Matrix Spectroscopy Fluorescence (QSE) 300400500 Emission (nm)

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

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

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 Statistics are useful in discriminating changes in DOM fluorescence via EEMS DOM Variability - Statistics ??? 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 Clusters: similar EEM, water masses NEGOM, 1997-2000 PC2 PC1

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

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

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

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

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

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

17 End

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

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

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

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


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