TECHNICAL PAPERS
Jan 24, 2011

Considering Bacteria-Sediment Associations in Microbial Fate and Transport Modeling

Publication: Journal of Environmental Engineering
Volume 137, Issue 8

Abstract

The development of a total maximum daily load (TMDL) for water bodies impaired by elevated microbial levels (the second leading cause of impairment nationally) requires an understanding of microbial transport processes at the watershed scale. Continuous monitoring of impaired water bodies can be expensive, and models are typically employed, but most current models represent bacteria as single discrete (“free” phase) organisms with near-neutral buoyancy, subject to first-order decay resulting primarily from predation or die-off. Studies indicate, however, that a significant fraction of microbes are associated with sediment particles, both in the water column and bed-sediments, associations that can impact microbial transport behavior and survival rates. This work incorporates considerations of microbial partitioning and its impact on survival into microbial fate and transport modeling using a well-characterized watershed. Agreement between observed and modeled instream microbial concentrations is comparable to, or better than, that seen in similar studies. Nonetheless, differences in instream concentration between model runs that consider microbe-sediment association (with attendant survival differences) and those that assume all microbes exist in the free phase are relatively small. A sensitivity analysis of relevant model inputs further indicates the minor effects of incorporating these considerations. The low settling velocities of small particles with which microbes typically associate and the dominance of other inputs related to wet weather microbial loadings, when compared with resuspension, result in the reduced significance of microbial partitioning as a factor in water quality modeling.

Get full access to this article

View all available purchase options and get full access to this article.

References

Auer, M., and Niehaus, S. (1993). “Modeling fecal coliform bacteria—I. Field and laboratory determination of loss kinetics.” Water Res., 27(4), 693–701.
Bai, S., and Lung, W. (2005). “Modeling sediment impact on the transport of fecal bacteria.” Water Res., 39(20), 5232–5240.
Benham, B., et al. (2006). “Modeling bacteria fate and transport in watersheds to support TMDLs.” Trans. ASABE, 49(4), 987–1002.
Bicknell, B. R., Imhoff, J. C., Kittle, Jr., J. L., Jobes, T. H., and Donigian, A. S. (2001). Hydrological simulation program-Fortran (HSPF), version 12, user’s manual, Aqua Terra Consultants, Mountain View, CA. 〈http://purl.access.gpo.gov/GPO/LPS49374〉 (Jun. 1, 2011).
Burton, G., Gunnison, D., and Lanza, G. (1987). “Survival of pathogenic bacteria in various freshwater sediments.” Appl. Environ. Microbiol., 53(4), 633–638.
Chapra, S. (1997). Surface water quality modeling, McGraw-Hill, New York.
Characklis, G., Dilts, M., Simmons, O., Likirdopulos, C., Krometis, L., and Sobsey, M. (2005). “Microbial partitioning to settleable particles in stormwater.” Water Res., 39, 1773–1782.
Cizek, A. R., et al. (2008). “Comparing the partitioning behavior of Giardia and Cryptosporidium with that of indicator organisms in stormwater runoff.” Water Res., 42(17), 4421–4438.
Davies, C., Long, J., Donald, M. l., and Ashbolt, N. (1995). “Survival of fecal microorganisms in marine and freshwater sediments.” Appl. Environ. Microbiol., 61(5), 1888–1896.
Desmarais, T. R., Solo-Gabriele, H. M., and Palmer, C. J. (2002). “Influence of soil on fecal indicator organisms in a tidally influenced subtropical environment.” Appl. Environ. Microbiol., 68(3), 1165–1172.
Donigian, T., and Bicknell, B. (2006a). “Sediment parameter and calibration guidance for HSPF.” BASINS Tech. Note 8, EPA, Washington, DC.
Dorner, S., Anderson, W., Slawson, R., Kowen, N., and Huck, P. (2006). “Hydrologic modeling of pathogen fate and transport.” Environ. Sci. Technol. 40(15), 4746–4753.
Flint, K. (1987). “The long-term survival of Escherichia coli in river water.” J. Appl. Bacteriol., 63, 261–270.
Fries, J. S., Characklis, G., and Noble, R. (2006). “Attachment of fecal indicator bacteria to particles in the Neuse River Estuary, N.C.” J. Environ. Eng., 132(10), 1338–1346.
Gannon, J., Busse, M., and Schillinger, J. (1983). “Fecal coliform disappearance in a river impoundment.” Water Res., 17(11), 1595–1601.
Gantzer, C., Gillerman, L., Kuznetsov, M., and Oron, G. (2001). “Adsorption and survival of faecal coliforms, somatic coliphages, and F-specific RNA phages in soil irrigated with wastewater.” Water Sci. Technol., 43(12), 117–124.
Gerba, C., and McLeod, J. (1976). “Effect of sediments on the survival of Escherichia coli in marine waters.” Appl. Environ. Microbiol., 32(1), 114–120.
Grimes, D. (1975). “Release of sediment-bound fecal coliforms by dredging.” Appl. Microbiol., 29(1), 109–111.
He, L.-M., Lu, J., and Shi, W. (2007). “Variability of fecal indicator bacteria in flowing and ponded waters in southern California: Implications for bacterial TMDL development and implementation.” Water Res., 41(14), 3132–3140.
Hunn, J. (2007). “Optimization of nonpoint source best management practices selection through a calibrated HSPF modeling approach.” M.S. thesis, Dept. of Environmental Sciences and Engineering, Univ. of NC, Chapel Hill, NC.
Irvine, K., and Pettibone, G. (1993). “Dynamics of indicator bacteria populations in sediment and river water near a combined sewer outfall.” Environ. Technol., 14, 531–542.
Irvine, K., Pettibone, G., and Droppo, I. (1995). “Indicator bacteria-sediment relationships: Implications for water quality modeling and monitoring.” In Modern methods for modeling the management of stormwater impacts, W. James, ed., Computational Hydraulics Int., Guelph, ON, Canada, 205–230.
Jamieson, R., Gordon, R., Joy, D., and Lee, H. (2004a). “Assessing microbial pollution of rural surface waters: A review of current watershed scale modeling approaches.” Agric. Water Manage., 70(1), 1–17.
Jamieson, R., Joy, D., Lee, H., Kostaschuk, R., and Gordon, R. (2004b). “Persistence of enteric bacteria in alluvial streams.” J. Environ. Eng. Sci., 3, 203–212.
Jamieson, R., Joy, D., Lee, H., Kostaschuk, R., and Gordon, R. (2005a). “Transport and deposition of sediment-associated Escherichia coli in natural streams.” Water Res., 39(12), 2665–2675.
Jamieson, R., Joy, D., Lee, H., Kostaschuk, R., and Gordon, R. (2005b). “Resuspension of sediment-associated Escherichia coli in a natural stream.” J. Environ. Qual., 34(2), 581–589.
Jeng, H., England, A., and Bradford, H. (2005). “Indicator organisms associated with stormwater suspended particles and estuarine sediment.” J. Environ. Sci. Health, Part A: Environ. Sci. Eng. Toxic Hazard. Subst. Control, 40(4), 779–791.
Jenkins, A. (1984). “The effect of fluvial processes on the dynamics of sanitary bacteria in upland streams.” Ph.D. thesis, School of Geography, Leeds Univ., Leeds, UK.
Krometis, L., Characklis, G., Simmons, O., III, Dilts, M., Likirdopulos, C., and Sobsey, M. (2007). “Intra-storm variability in microbial partitioning and microbial loading rates.” Water Res., 41(2), 506–516.
Krometis, L., Characklis, G., and Sobsey, M. (2009a). “Identification of particle size classes inhibiting protazoan recovery from surface water samples via U.S. Environmental Protection Agency Method 1623.” Appl. Environ. Microbiol., 75(20), 6619–6621.
Krometis, L., Drummy, P., Characklis, G., and Sobsey, M. (2009b). “Impact of microbial partitioning on wet retention pond effectiveness.” J. Environ. Eng., 135(9), 758–767.
LaBelle, R., and Gerba, C. (1979). “Influence of pH, salinity, and organic matter on the adsorption of enteric viruses to estuarine sediment.” Appl. Environ. Microbiol., 38(1), 93–101.
LaLiberte, P., and Grimes, D. (1982). “Survival of Escherichia coli in lake bottom sediment.” Appl. Environ. Microbiol., 43(3), 623–628.
Ling, T., Achberger, E., Drapcho, C., and Bengston, R. (2002). “Quantifying adsorption of indicator bacteria in a soil-water system.” Trans. ASABE, 45(3), 669–674.
Mahler, B., Personne, J., Lods, G., and Drogue, C. (2000). “Transport of free and particulate-associated bacteria in karst.” J. Hydrol. (Amsterdam), 238(3–4), 179–193.
Mancini, J. (1978). “Numerical estimates of coliform mortality rates under various conditions.” Journal (Water Pollution Control Federation), 50(11), 2477–2484.
Muirhead, R., Davies-Colley, R., Donnison, A., and Nagels, J. (2004). “Faecal bacteria yields in artificial flood events: quantifying in-stream stores.” Water Res., 38(5), 1215–1224.
Nagels, J., Davies-Colley, R., Donnison, A., and Muirhead, R. (2002). “Faecal contamination over flood events in a pastoral agricultural stream in New Zealand.” Water Sci. Technol., 45(12), 45–52.
North Carolina Division of Water Quality (NC DWQ). (2006). “DWQ Redbook: Surface waters and wetlands standards.” NC admin. code 15A NCAC 02B .0100, .0200, and .0300, NC Dept. of Environment and Natural Resources, Raleigh, NC.
Reddy, H., and Ford, R. (1996). “Analysis of biodegradation and bacterial tranport: Comparison of models with kinetic and equilibrium bacterial adsorption.” J. Contam. Hydrol., 22(3), 271–287.
Roper, M., and Marshall, K. (1978). “Effects of clay mineral on microbial predation and parasitism of Escherichia coli.” Microb. Ecol., 4(4), 279–289.
Russo, S. (2007). “Bacteria-sediment associations: Implications for microbial fate and transport modeling in support of TMDL development.” M.S. thesis, Environmental Sciences and Engineering, Univ. of NC, Chapel Hill, NC.
Schillinger, J., and Gannon, J. (1985). “Bacterial adsorption and suspended particles in urban stormwater.” Journal (Water Pollution Control Federation), 57(5), 384–389.
Sherer, B., Miner, J., Moore, J., and Buckhouse, J. (1988). “Resuspending organisms from a rangeland stream bottom.” Trans. ASABE, 31(4), 1217–1222.
Sherer, B., Miner, J., Moore, J., and Buckhouse, J. (1992). “Indicator bacterial ssurvival in stream sediments.” J. Environ. Qual., 21, 591–595.
Stephenson, G., and Rychert, R. (1982). “Bottom sediment: A reservoir of Escherichia coli in rangeland streams.” J. Range Manage., 35(1), 119–123.
U.S. EPA. (2000). BASINS Technical Note 6: Estimating Hydrology and Hydraulic Parameters in HSPF.
U.S. EPA. (2001). Protocol for developing pathogen TMDLs. EPA 841-R-00-002, Office of Water, Washington, DC.
U.S. EPA. (2006). Training: BASINS 3.1 lectures, data sets, and exercises, Washington, DC. 〈http://water.epa.gov/scitech/datait/models/basins/training-31.cfm〉 (Jun 9, 2011).
U.S. EPA. (2007). “National section 303(d) fact sheet.” Office of Water, Washington, DC.
Wilkinson, J., Jenkins, A., Wyer, M., and Kay, D. (1995). “Modeling faecal coliform dynamics in streams and rivers.” Water Res., 29(3), 847–855.

Information & Authors

Information

Published In

Go to Journal of Environmental Engineering
Journal of Environmental Engineering
Volume 137Issue 8August 2011
Pages: 697 - 706

History

Received: Dec 23, 2009
Accepted: Jan 21, 2011
Published online: Jan 24, 2011
Published in print: Aug 1, 2011

Permissions

Request permissions for this article.

Authors

Affiliations

Stephen A. Russo [email protected]
Assistant Engineer, Hazen and Sawyer, PC, 498 7th Avenue, 11th Floor, New York, NY 10018 (corresponding author). [email protected]
Joshua Hunn
Civil Associate II, Michael Baker Jr., Inc., 3601 Eisenhower Avenue, Alexandria, VA 22304.
Gregory W. Characklis, M.ASCE
Associate Professor, Dept. of Environmental Sciences and Engineering, Gillings School of Global Public Health, Rosenau Hall–CB7431, Univ. of North Carolina, Chapel Hill, NC 27599-7431.

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share