Experimental measurements of fluence distribution in a UV reactor using fluorescent microspheres

Environmental Science and Technology

Volumn 39, Issue 22, 2005, Pages 8925-8930

  Bohrerova, Zuzana ^a   Bohrer, Gil ^a   Mohanraj, S Mohan ^b   Ducoste, Joel ^c   Linden, Karl G ^a  

^a Duke University   (United States)

^b Division of Vasmo Inc   (United States)

^c North Carolina State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL FLUID DYNAMICS; FLUORESCENCE; PHOTOCHEMICAL REACTIONS; RANDOM PROCESSES; REACTION KINETICS; ULTRAVIOLET DEVICES;

FLUENCE DISTRIBUTION; MICROSPHERES; UV FLUENCE; UV REACTORS;

SPHERES;

MICROSPHERE;

PHOTOCHEMICAL TREATMENT;

ARTICLE; BAYES THEOREM; DOSIMETRY; FLOW RATE; FLUORESCENCE; MATHEMATICAL MODEL; MONTE CARLO METHOD; PHOTOCHEMISTRY; PROBABILITY; REACTOR; ULTRAVIOLET RADIATION; ULTRAVIOLET REACTOR; VALIDATION PROCESS;

BACILLUS SUBTILIS; DISINFECTION; FLUORESCENT DYES; MARKOV CHAINS; MICROSPHERES; RADIOMETRY; SPORES, BACTERIAL; STOCHASTIC PROCESSES; ULTRAVIOLET RAYS;

EID: 27744547508     PISSN: 0013936X     EISSN: None     Source Type: Journal    
DOI: 10.1021/es050034c     Document Type: Article

References (27)

1. Qualls, R. G.; Johnson, J. D. Bioassay and dose measurement in UV disinfection. Appl. Environ. Microbiol. 1983, 45, 872-877.
2. Linden, K. G.; Darby, J. L. Estimating effective germicidal dose from medium-pressure UV lamps. J. Environ. Eng. 1997, 123, 1142-1149.
3. Kelly, R.; Ferran, B.; Jin, S. Interpreting UV reactor validation results: Impact of key design parameters on performance of closed vessel reactors. In Proceedings of the Water Quality Technology Conference; American Water Works Association: San Antonio, TX, 2004.
4. Blatchley, E. R. Numerical modelling of UV intensity: Application to collimated-beam reactors and continuous-flow systems. Water Res. 1997, 31, 2205-2218.
5. Ducoste, J. J.; Linden, K. G.; Rokjer, D. Numerical prediction of the reduction equivalent fluence bias. In Proceedings of the Water Quality Technology Conference; American Water Works Association: San Antonio, TX, 2004.
6. Nicholson, W. L., Galeano, B. UV resistance of Bacillus anthracis spores revisited: Validation of Bacillus subtilis spores as UV surrogates for spores of B. anthracis sterne. Appl. Environ. Microbiol. 2003, 69, 1327-1330.
7. Harm, W. Biological Effects of Ultraviolet Radiation; Press Syndicate of the University of Cambridge: Cambridge, U. K., 1980; Vol. 1.
8. Cabaj, A.; Sommer, R.; Schoenen, D. Biodosimetry: Model calculation for U.V. water disinfection devices with regard to dose distributions. Water Res. 1996, 30, 1003-1009.
9. Severin, B. F.; Suidan, M. T.; Engelbrecht, R. S. Kinetic modeling of U.V. disinfection of water. Water Res. 1983, 17, 1669-1678.
10. Mariñas, B. J.; Rennecker, S.; Teefy, S.; Rice, E. W. Assesing ozone disinfection with nonbiological surrogates. J. Am. Water Works Assoc. 1999, 91, 79-89.
11. Chiou, C. F.; TorresLugo, M.; Mariñas, B. J.; Adams, J. Q. Nonbiological surrogate indicators for assessing ozone disinfection. J. Am. Water Works Assoc. 1997, 89, 54-66.
12. Baeza, C.; Ducoste, J. J. A non-biological surrogate for sequential disinfection processes. Water Res. 2004, 38, 3400-3410.
13. Dai, X. J.; Hozalski, R. M. Evaluation of microspheres as surrogates for Cryptosporidium parvum oocysts in filtration experiments. Environ. Sci. Technol. 2003, 37, 1037-1042.
14. Tang, G.; Teefy, S.; Mariñas, B. J. Assessing the performance of an ozone disinfection system with fluorescent-dyed microspheres as surrogates for C. parvum oocysts. In Proceedings of the Water Quality Technology Conference; American Water Works Association: Seatle, WA, 2002.
15. Anderson, W. A.; Zhang, L.; Andrews, S. A.; Bolton, J. R. A technique for direct measurement of UV fluence distribution. In Proceedings of the Water Quality Technology Conference; American Water Works Association: Philadelphia, PA, 2003.
16. Trotter, J. Windows Multiple Document Interface for Flow Cytornetry (WinMD1), version2.8; software created 1993, http://facs.scripps.edu/software. html (program accessed 2004).
17. Bolton, J. R.; Linden, K. G. Standardization of methods for fluence (UV dose) determination in bench-scale UV experiments. J. Environ. Eng. 2003, 129, 209-215.
18. Lunn, D. J.; Thomas, A.; Best, N.; Spiegelhalter, D. WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility. Stat. Comput. 2000, 10, 325-337.
19. Ihaka, R.; Gentleman, R. R: A language for data analysis and graphics. J. Comput. Graph. Stat. 1996, 5, 299-314.
20. Wilcox, D. C. Turbulence Modeling for CFD; DCW Industries, Inc.: La Canada, CA, 1998.
21. Liu, D.; Ducoste, J. J.; Jin, S.; Linden, K. G. Evaluation effluence rate distributions models. J. Water Supply Res. Technol.-AQUA 2004, 53, 394-408.
22. Sivaganesan, M.; Rice, E. W.; Mariñas, B. J. A Bayesian method of estimating kinetic parameters for the inactivation of Cryptosporidium parvum oocysts with chlorine dioxide and ozone. Water Res. 2003, 37, 4533-4543.
23. da Silva, C. G.; Faria, J. L. Photochemical and photocatalytic degradation of an azo dye in aqueous solution by UV irradiation. J. Photochem. Photobiol., A 2003, 155, 133-143.
24. Mackey, E. D.; Hargy, T. M.; Wright, H. B.; Malley, J. P. J.; Cushing, R. S. Comparing Cryptosporidium parvum and MS2 bioassays-Implications for UV reactor validation. J. Am. Water Works Assoc. 2002, 94, 62-69.
25. Qian, S. S.; Donnelly, M.; Schmelling, D. C.; Messner, M.; Linden, K. G.; Cotton, C. Ultraviolet light inactivation of protozoa in drinking water: A Bayesian meta-analysis. Water Res. 2004, 38, 317-326.
26. EPA. Ultraviolet Disinfection Guidance Manual, draft; U. S. Environmental Protection Agency: Washington, DC, 2003.
27. Ducoste, J. J.; Linden, K. G. Hydrodynamic Characterization of UV Reactors; Draft Final Report, Project 2684; American Water Works Association Research Foundation: Denver, CO, 2005.