TY - JOUR
T1 - Assessment of MS-2 phage and salt tracers to characterize axial dispersion in water distribution systems
AU - Sinclair, Ryan G.
AU - Romero-Gomez, Pedro
AU - Choi, Christopher Y.
AU - Gerba, Charles P.
N1 - Funding Information:
This study was supported by the Center for Advancing Microbial Risk Assessment (CAMRA), which is funded by the U.S. Environmental Protection Agency Science to Achieve Results and also by the U.S. Department of Homeland Security University Programs grant number R3236201. Ryan Sinclair was supported through the National Research Council Research Associate Program with funding from the U.S. Department of Homeland Security.
PY - 2009/8
Y1 - 2009/8
N2 - The present study investigates the axial dispersion and retardation patterns of viruses in a pressurized water distribution pipe using MS-2 as a surrogate. The results were obtained by using computational fluid dynamics (CFD), along with a hydraulic and water quality model. These models included the plug flow assumption and were first used to estimate transport mechanisms along a pipe. These prediction-model results were compared to experimental data using sodium chloride as a chemical tracer. Significant axial dispersion and retardation (or tailing) was found to exist under laminar flow conditions with high dispersion coefficients (E) estimated by CFD runs and salt tracer experiments. A similar dispersion pattern was also observed for MS-2, along with a long tailing pattern, which is particularly unique. The commonly used water quality model showed no axial dispersion (E = 0) under any flow regimes; thus, the plug flow assumption could produce significant errors in predicting the transport phenomena of chemical and biological constituents in water distribution systems. On the other hand, the dispersion curves predicted by the plug flow model and CFD are in good agreement with the experimental data in the turbulent flow regime, although using computational methods to predict microbial retardation is intrinsically difficult. Because the MS-2 demonstrated considerable temporal retardation and because its detection limit is much lower than that of the salt tracer, MS-2 should make an excellent tracer for characterizing viral transport in water distribution systems.
AB - The present study investigates the axial dispersion and retardation patterns of viruses in a pressurized water distribution pipe using MS-2 as a surrogate. The results were obtained by using computational fluid dynamics (CFD), along with a hydraulic and water quality model. These models included the plug flow assumption and were first used to estimate transport mechanisms along a pipe. These prediction-model results were compared to experimental data using sodium chloride as a chemical tracer. Significant axial dispersion and retardation (or tailing) was found to exist under laminar flow conditions with high dispersion coefficients (E) estimated by CFD runs and salt tracer experiments. A similar dispersion pattern was also observed for MS-2, along with a long tailing pattern, which is particularly unique. The commonly used water quality model showed no axial dispersion (E = 0) under any flow regimes; thus, the plug flow assumption could produce significant errors in predicting the transport phenomena of chemical and biological constituents in water distribution systems. On the other hand, the dispersion curves predicted by the plug flow model and CFD are in good agreement with the experimental data in the turbulent flow regime, although using computational methods to predict microbial retardation is intrinsically difficult. Because the MS-2 demonstrated considerable temporal retardation and because its detection limit is much lower than that of the salt tracer, MS-2 should make an excellent tracer for characterizing viral transport in water distribution systems.
KW - Bacteriophage
KW - Bioterrorism
KW - Coliphage
KW - Dispersion
KW - MS-2
KW - Potable water distribution systems
KW - Tracers
KW - Virus
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U2 - 10.1080/10934520902996856
DO - 10.1080/10934520902996856
M3 - Article
C2 - 19827488
SN - 1093-4529
VL - 44
SP - 963
EP - 971
JO - Journal of Environmental Science and Health - Part A Toxic/Hazardous Substances and Environmental Engineering
JF - Journal of Environmental Science and Health - Part A Toxic/Hazardous Substances and Environmental Engineering
IS - 10
ER -