An assessment of fecal indicator bacteria-based water quality standards

Environmental Science and Technology

Volumn 42, Issue 13, 2008, Pages 4676-4682

  Gronewold, Andrew D ^a   Borsuk, Mark E ^b   Wolpert, Robert L ^a,c   Reckhow, Kenneth H ^a  

^a DUKE UNIVERSITY   (United States)

^b DARTMOUTH COLLEGE   (United States)

^c Duke University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACTERIOLOGY; BAYESIAN NETWORKS; CONTAMINATION; FOCUSED ION BEAMS; HEALTH RISKS; HYDRAULIC MODELS; INFERENCE ENGINES; MICROCHANNELS; PROBABILITY DISTRIBUTIONS; QUALITY CONTROL; REGULATORY COMPLIANCE; RISK ASSESSMENT; RIVER POLLUTION; STANDARDS; WATER QUALITY;

AMERICAN CHEMICAL SOCIETY (ACS); ANALYTICAL PROCEDURES; BAYESIAN INFERENCE PROCEDURE; COLONY-FORMING UNITS (CFU); CONCENTRATION (COMPOSITION); CONCENTRATION DISTRIBUTIONS; FECAL COLIFORM (FC); FECAL INDICATOR BACTERIA (FIB); HARVESTING WATERS; HIGH PROBABILITY; HUMAN HEALTH; IN-SITU; INLAND WATERS; INNOVATIVE APPROACHES; METRICS (CO); MOST PROBABLE NUMBER (MPN); NEWPORT (CO); NORTH CAROLINA; POLLUTANT LEVELS; RIVER ESTUARY; TOTAL MAXIMUM DAILY LOAD (TMDL); WATER QUALITY ASSESSMENTS; WATER QUALITY STANDARDS; WIDE-RANGE;

WATER POLLUTION; RIVER POLLUTION;

ASSESSMENT METHOD; BACTERIUM; BIOINDICATOR; CONCENTRATION (COMPOSITION); FECAL COLIFORM; WATER POLLUTION; WATER QUALITY;

ARTICLE; BACTERIUM CONTAMINATION; COLONY FORMING UNIT; FECES MICROFLORA; WATER ANALYSIS; WATER CONTAMINATION; WATER QUALITY;

BAYES THEOREM; COLONY COUNT, MICROBIAL; COMPUTER SIMULATION; ENTEROBACTERIACEAE; ENVIRONMENTAL MONITORING; FECES; MODELS, THEORETICAL; NORTH CAROLINA; RIVERS;

BAYESIAN INFERENCE PROCEDURE; COLONY FORMING UNITS; CONCENTRATION DISTRIBUTIONS; DIRECT MEASURES; FECAL COLIFORM; FECAL INDICATOR BACTERIA; FECAL INDICATORS; HARVESTING WATERS; HIGH PROBABILITY; IN-SITU CONCENTRATIONS; INNOVATIVE APPROACHES; MOST PROBABLE NUMBER; NEWPORT; NORTH CAROLINA; POLLUTANT LEVELS; TOTAL MAXIMUM DAILY LOAD; WATER QUALITY ASSESSMENTS; WATER QUALITY STANDARD;

EID: 46849094289     PISSN: 0013936X     EISSN: None     Source Type: Journal    
DOI: 10.1021/es703144k     Document Type: Article

References (53)

1. Smith, E. P.; Ye, K. Y.; Hughes, C.; Shabman, L. A. Statistical assessment of violations of water quality standards under section 303(d) of the Clean Water Act. Environ. Sci. Technol. 2001, 35, 606-612.
2. Houck, O.A.; The Clean Water Act TMDL Program: Law, Policy, and Implementation, 2nd ed.; Environmental Law Institute: Washington, DC, 2002.
3. U.S. Environmental Protection Agency. Guidance for 2006 Assessment, Listing and Reporting Requirements Pursuant to Sections 303(d), 305(b) and 314 of the Clean Water Act; USEPA: Washington, DC, 2005..
4. National Research Council. Assessing the TMDL Approach to Water Quality Management, NRC: Washington, DC, 2001.
5. Coo ter, W. S. Clean Water Act assessment processes in relation to changing U.S. Environmental Protection Agency management strategies. Environ. Sci. Technol. 2004, 38, 5265-5273.
6. Borsuk, M. E.; Stow, C. A.; Reckhow, K. H. Predicting the frequency of water quality standard violations: A probabilistic approach for TMDL development. Environ. Sci. Technol. 2002, 36, 2109-2115.
7. Benham, B. L.; Baffaut, C.; Zeckoski, R. W.; Mankin, K. R.; Pachepsky, Y. A.; Sadeghi, A. M.; Brannan, K. M.; Soupir, M. L.; Habersack, M. J. Modeling bacteria fate and transport in watersheds to support TMDLs. T. ASABE 2006, 49, 987-1002.
8. U.S. Environmental Protection Agency. National Water Quality Inventory: Report to Congress (2002 Reporting Cycle); EPA 841-R-07-001; USEPA: Washington, DC, 2007.
9. U.S. Environmental Protection Agency. Code of Federal Regulations: Title 40, Chapter 1, Part 141, 2005.
10. NC Department of Environment and Natural Resources. Coastal Recreational Waters Monitoring, Evaluation, and Notification Rules, 15A NCAC 18A 0.3400; 2004.
11. National Shellfish Sanitation Program. Guide for the Control of Molluscan Shellfish; 2005.
12. Thomas, H. A. Statistical Analysis of Coliform Data. Sewage Ind. Wastes 1955, 27, 212-222.
13. Ott, W. Environmental Statistics and Data Analysis, Lewis Publishers: Boca Raton, FL, 1995.
14. Shirmohammadi, A.; Chaubey, I.; Harmel, R. D.; Bosch, D. D.; Munoz-Carpena, R.; Dharmasri, C.; Sexton, A.; Arabi, M.; Wolfe, M. L.; Frankenberger, J.; Graff, C.; Sohrabi, T. M. Uncertainty in TMDL models. T. ASABE 2006, 49, 1033-1049.
15. Cochran, W. G. Estimation of Bacterial Densities by Means of the 'Most Probable Number'. Biometrics 1950, 6, 105-116.
16. McCrady, M. H. The Numerical Interpretation of Fermentation Tube Results. J. Infect. Dis. 1915, 17, 183-212.
17. de Man, J. C. MPN Tables For More Than One Test. Eur. J. Appl. Microbiol. 1977, 4, 307-316.
18. Klee, A. J. A Computer Program For the Determination of Most Probable Number and Its Confidence Limits. J. Microbiol. Meth. 1993, 18, 91-98.
19. Dufour, A. P.; Cabelli, V. J. Membrane-Filter Procedure for Enumerating Component Genera of Coliform Group in Seawater. Appl. Microbiol. 1975, 29, 826-833.
20. Dufour, A. P.; Strickland, E. R.; Cabelli, V. J. Membrane-Filter Method for Enumerating Escherichia coli. Appl. Environ. Microbiol. 1981, 41, 1152-1158.
21. Rippey, S. R.; Adams, W. N.; Watkins, W. D. Enumeration of Fecal-Coliforms and Escherichia coli in Marine and Estuarine Waters - an Alternative to the APHA-MPN Approach. J. Water Pollut. Control Fed. 1987, 59, 795-798.
22. Esham, E. C.; Sizemore, R. K. Evaluation of two techniques: mFC and mTEC for determining distributions of fecal pollution in small, North Carolina tidal creeks. Water Air Soil Pollut. 1998, 106, 179-197.
23. Rompré, A.; Servais, P.; Baudart, J.; de Roubin, M.-R.; Laurent, P. Detection and enumeration of coliforms in drinking water: current methods and emerging approaches. J. Microbiol. Meth. 2002, 49, 31-54.
24. Refsgaard, J. C.; van der Sluijs, J. P.; Hojberg, A. L.; Vanrolleghem, P. A. Uncertainty in the environmental modelling process - A framework and guidance. Environ. Modell. Software 2007, 22, 1543-1556.
25. Milly, P. C.; Betancourt, J.; Falkenmark, M.; Hirsch, R. M.; Kundzewicz, Z. W.; Lettenmaier, D. P.; Stouffer, R. J. Stationarity Is Dead: Whither Water Management. Science 2008, 319, 573-574.
26. Greenwood, M.; Yule, G. U. On the Statistical Interpretation of Some Bacteriological Methods Employed in Water Analysis. J. Hyg. 1917, 16, 36-54.
27. Thomas, H. A. On Averaging Results of Coliform Tests. Boston Soc. Civil Engrs. J. 1952, 39, 253-270.
28. Hurley, M. A.; Roscoe, M. E. Automated Statistical Analysis of Microbial Enumeration by Dilution Series. Appl. Environ. Microbiol. 1983, 55, 159-164.
29. Haas, C. N. Estimation of microbial densities from dilution count experiments. Appl. Environ. Microbiol. 1989, 55, 1934-1942.
30. Beliaeff, B.; Mary, J.-Y. The Most Probable Number Estimate and Its Confidence-Limits. Water Res. 1993, 27, 799-805.
31. McBride, G. B.; McWhirter, J. L.; Dalgety, M. H. Uncertainty in most probable number calculations for microbiological assays. J. AOAC Int. 2003, 86, 1084-1088.
32. Eisenhart, C.; Wilson, P. W. Statistical Methods and Control in Bacteriology. Bacteriol. Rev. 1943, 7, 57-137.
33. Pipes, W. O.; Ward, P.; Ahn, S. H. Frequency Distributions for Coliform Bacteria in Water. J. Am. Water Works Assoc. 1977, 69, 664-668.
34. El-Shaarawi, A. H.; Esterby, S. R.; Dutka, B. J. Bacterial Density in Water Determined by Poisson or Negative Binomial Distributions. Appl. Environ. Microbiol. 1981, 41, 107-116.
35. Christian, R. R.; Pipes, W. O. Frequency Distributions of Coliforms in Water Distribution Systems. Appl. Environ. Microbiol. 1983, 45, 603-609.
36. Haas, C. N.; Heller, B. Test of the validity of the Poisson assumption for analysis of Most-Probable-Number results. Appl. Environ. Microbiol. 1988, 54, 2996-3002.
37. Teunis, P. F. M.; Medema, G. J.; Kruidenier, L.; Havelaar, A. H. Assessment of the risk of infection by Cryptosporidium or Giardia in drinking water from a surface water source. Water Res. 1997, 31, 1333-1346.
38. Russek, E.; Colwell, R. R. Computation of Most Probable Numbers. Appl. Environ. Microbiol. 1983, 45, 1646-1650.
39. Ihaka, R.; Gentleman, R. R: A Language for Data Analysis and Graphics. J. Comput. Graph. Stat. 1996, 5, 299-314.
40. Reckhow, K. H.; Arhonditsis, G. B.; Kenney, M. A.; Hauser, L.; Tribo, J.; Wu, C.; Elcock, K. J.; Steinberg, L. J.; Stow, C. A.; McBride, S. J. A predictive approach to nutrient criteria. Environ. Sci. Technol. 2005, 39, 2913-2919.
41. U.S. Environmental Protection Agency. Guidelines for the Preparation of the Comprehensive State Water Quality Assessments (305(b) Reports) and Electronic Updates: Report Contents; Technical Report; USEPA: Washington, DC, 1997.
42. Berry, D. A. Statistics: a Bayesian Perspective, Duxbury Press: Belmont, CA, 1996.
43. Bolstad, W. M. Introduction to Bayesian Statistics, Wiley-Interscience: Hoboken, NJ, 2004.
44. Gelman, A. J.; Carlin, J. B.; Stern, H. S.; Rubin, D. B. Bayesian Data Analysis, Chapman & Hall/CRC: Boca Raton, FL, 2004.
45. Gelman, A. J. Prior distributions for variance parameters in hierarchical models (Comment on Article by Browne and Draper). Bayesian Anal. 2006, 1, 515-534.
46. Van Dongen, S. Prior specification in Bayesian statistics: Three cautionary tales. J. Theor. Biol. 2006, 242, 90-100.
47. Qian, S. S.; Reckhow, K. H. Combining model results and monitoring data for water quality assessment. Environ. Sci. Technol. 2007, 41, 5008-5013.
48. Lunn, D. J.; Thomas, A.; Best, N. G.; Spiegelhalter, D. J. WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility. Stat. Comput. 2000, 10, 325-337.
49. Shen, J.; Sun, S.-C.; Wang, T.-P. Development of the fecal coliform total maximum daily load using Loading Simulation Program C++ and tidal prism model in estuarine shellfish growing areas: A case study in the Nassawadox coastal embayment, Virginia. J. Environ. Sci. Health, A 2005, 40, 1791-1807.
50. U.S. Environmental Protection Agency. Decision Rationale Letter: Total Maximum Daily Load for Shellfish Harvest and Primary Contact Use Impairements in the Poquoson River, Back Creek and Back River Watersheds, York County, Virginia; USEPA, 2006.
51. U.S. Environmental Protection Agency. Decision Rationale Letter: Total Maximum Daily Load for Shellfish Harvest and Primary Contact Use Impairements in the Onancock Creek, Locklies and Mill Creek Watersheds, Accomack and Middlesex Counties, Virginia; USEPA, 2006.
52. Alderisio, K. A.; DeLuca, N. Seasonal enumeration of fecal coliform bacteria from the feces of ring-billed gulls (Larus delawarensis) and Canada geese (Branta canadiensis). Appl. Environ. Microbiol. 1999, 65, 5628-5630.
53. Sanders, B. F.; Arega, F.; Sutula, M. Modeling the dry-weather tidal cycling of fecal indicator bacteria in surface waters of an intertidal wetland. Water Res. 2005, 39, 3394-3408.