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CICEET Progress Report for the period 9/01/05 Through 3/05/06
Project Title: Transport and Capture of Pathogens from Urban Stormwater Runoff Using Bioretention
Project Objectives for This Reporting Period Objectives Evaluation of conventional bioretention media for capture and destruction of pathogens using column studies.
Tasks to meet objectives
Progress on Tasks
Bacterial Growth
Column Setup and Bromide Tracer Experiment
For the bromide tracer experiment, sodium bromide was dissolved in the synthetic runoff to obtain a bromide concentration of 200 mg/L. Then the influent was continuously pumped into the column from the top for 6 hrs. During this time, the flow rate was maintained at approximately 20 mL/hr (approach velocity = 4 cm/hr). This represents a common storm (return period < 1 year) concentrated by a factor of 20 from the drainage area to the treatment facility. The effluent samples were collected every quarter- or half-hour from the bottom of the column. A schematic diagram of the column experimental set up is shown in Figure 1. The Bromide concentration of influent and effluent samples was measured using a Cole-Parmer 27502-04, 05 bromide electrode (Cole-Parmer Instrument Company, Vernon Hills, IL). The detection limit for the bromide probe is 0.01 mg/L in the presence of other ions.
Pathogen Transport Experiment
Filtration Modeling
In equation (1), R is the retardation factor, c is the concentration of bacteria suspended in aqueous solution (ML-3), D is the hydrodynamic dispersion coefficient (L2T-1), x is the distance (measured from the entrance of column), n is the pore water velocity (LT-1), kc is deposition coefficient (T-1), and Rd is the rate at which bacteria are detached from the collector (ML-3T-1). The hydrodynamic dispersion coefficient D, pore water velocity n, and porosity q were determined using the bromide conservative tracer test data, as described below. The bacteria deposition coefficient can be determined based on colloid filtration theory (Tien and Payatakes, 1979), as follows:
where dc is the diameter of the collector. For conventional bioretention media with low uniformity (d60/d10 = 4.9), d10 was selected as dc (Martin et al., 1996). The sticking coefficient a and the single collector collision efficient h0 can be calculated using the adjusted correlation equations developed by Tufenkji and Elimelech (2004). For this initial data analysis of the pathogen transport experiments, detachment is neglected (Rd = 0). The analytical solution to the one-dimensional advection-dispersion equation (1) was provided by van Genuchten and Alves (1982). The bromide breakthrough curve also can be described by the one-dimensional advection-dispersiion equation (R = 1, kc = 0, and Rd = 0). A FORTRAN program “trafit1d” was used to fit Equation (1) to the tracer data (Seagren, 1994). The best-fit parameters (hydrodynamic dispersion D, pore velocity n and porosity q) were obtained by minimizing the sum of the squares of absolute residuals between the normalized experimental bromide tracer data and the normalized flux-averaged concentration calculated using the one-dimensional non-reactive solute transport model of Parker and van Genuchten (1984). Difficulties A few experimental difficulties have been encountered in the experiments performed to date. Most importantly, strain B6914 concentration in the synthetic runoff was stable for approximately three hours, but then greatly decreased over time, interfering with long-term column studies. This may be due to low nutrient levels or the toxicity of oil in the synthetic runoff. This is not expected to be a problem if new synthetic runoff suspending fresh strain B6914 is made and applied to the column every three hours during column experiments. Project Objectives for Next Reporting Period
Objectives
Tasks to Meet Objectives
Also during this time, Task 4, “long-term” sustainability studies, will be initiated using the same general experimental design as in Task 1.
Work Plan for Next Reporting Period
Anticipated Success in Meeting Project Objectives
Overall Project Timeline Update
Preliminary Data
The effect of two different stain B6914 concentrations in synthetic runoff on the capture by conventional bioretention media has been tested. In the two bacterial transport column experiments, the stain B6914 concentrations suspended in the synthetic runoff were 2.0_105 CFU/mL and 3.6_106 CFU/mL, respectively. For the experiment with the input stain B6914 concentration of 2.0_105 CFU/mL, the maximum effluent cell concentration was reached at 2.5 hrs (or 1.36 pore volumes). Most of the input cells were retained by media (C/Co of 0.075) during the six-hour column experiment (See Figure 3). However, for the input stain B6914concentration of 3.6_106 CFU/mL, the maximum effluent cell concentration greatly increased (C/Co of 0.88, See Figure 4). For both experiments, cell breakthrough was slightly retarded relative to the bromide tracer experiment (Average retardation coefficient R=1.12). Modeling the bromide breakthrough curve with the one-dimensional advection-dispersion model resulted in a generally good fit of the experimental data (See Figure 3 & Figure 4). From the results obtained so far, it is obvious that the removal efficiency of E. coli by conventional bioretention media decreases with increasing input concentration of E. coli O157:H7 stain B6914 in the synthetic runoff. Thus, the conventional bioretention media possesses a much higher removal capacity to remove E. coli O157:H7 stain B6914 from synthetic stormwater runoff when the lower influent concentration was applied (Co = 2.0_105 CFU/mL).
Dissemination
Expenditures
End User Advisor Feedback
Research Response
2.) Not applicable
3.) Challenges:
4.) These questions do not appear to be addressed in the first phase, which appears to be just setting up the basic research approach. 5.) This is very valuable research, due to the significant number of estuaries and water supply reservoirs that are being listed due to this family of contaminants. A low cost and effective approach is critical and this technology has tremendous potential.
References
Davis, A.P., Shokouhian, M., Sharma, H. and Minami, C. 2001. Laboratory Study of Bioretention for Urban Storm Water Management. Water Environ. Res., 73, 5-14. Harvey, R.W., Garabedian, S.P. 1991. Use of colloid filtration theory in modeling movement of bacterial through a contaminated sandy aquifer. Environ. Sci. Technol. 25, 178-185. Martin, M.J., Logan, B.E., Johnson, W.P., Jewett, D.G., Arnold, R.G., Member, ASCE. 1996. Scaling bacterial filtration rates in different sized porous media. J. Environ. Eng. 122, 407-415. Parker, J.C., van Genuchen, M.Th. 1984. Determining transport parameters from laboratory and field tracer experiments. Bulletin 84-3. Virgia Agric. Exp. Stn. Blackburg, VA. Rajagopalan, R., Tien, C. 1976. Trajectory analysis of deep-bed filtration with the sphere-in-a-cell porous media model. AIChE J. 22, 523-533. Seagren, E.A. 1994. Quantitative evaluation of flushing and biodegredation for enhancing in situ dissolution of nonaqueous phase liquids. Ph.D dissertation, Univ. of Illinois, Urbana Champaign. Tufenkji, N., Elimelech, M. 2004. Correlation equation for predicting single-collector efficiency in physicochemical filtration in satured porous media. Environ. Sci. Technol. 38, 529-536. van Genuchten, M. Th., Alves, W.J. 1982. Analytical solutions of the one-dimensional convective-dispersive solute transport equation. United States Department of Agriculture (USDA), Agricultural Research Service, Technical Bulletin Number 1661. |