Nowcasting and forecasting concentrations of biological contaminants at beaches: A feasibility and case study

Environmental Science and Technology

Volumn 42, Issue 13, 2008, Pages 4818-4824

  Frick, Walter E ^a   Ge, Zhongfu ^a   Zepp, Richard G ^a  

^a U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACTERIOLOGY; BEACHES; CONTAMINATION; DYNAMIC PROGRAMMING; ESCHERICHIA COLI; FOOD PROCESSING; FORECASTING; HYDRAULIC MODELS; LAKES; LANDFORMS; LEAST SQUARES APPROXIMATIONS; REGRESSION ANALYSIS; REUSABILITY; STATISTICAL METHODS; STATISTICS; WATER POLLUTION; WATER QUALITY; DYNAMIC MODELS;

BACTERIAL LEVELS; BIOLOGICAL CONTAMINANTS; CASE STUDIES; DATA SETS; E. COLI; ENVIRONMENTAL DATA; EXPLANATORY VARIABLES; FITTING MODELS; GREAT LAKES (CO); LAKE ERIE; LEAST SQUARES FITTING (LSF); LIMITED DATA; MICROBIAL CONTAMINATIONS; NOWCASTING; PREDICTIVE MODELING; PUBLIC CONCERNS; PUBLIC DOMAINS; SITE SPECIFIC; STATIC MODELLING; STATISTICAL MODELLING; STATISTICAL REGRESSION MODELS; TIME PERIODS;

DYNAMIC MODELS; BEACHES;

COMPARATIVE STUDY; CONCENTRATION (COMPOSITION); FORECASTING METHOD; MARINE POLLUTION; MODELING;

ACCURACY; ARTICLE; CONCENTRATION (PARAMETERS); ENVIRONMENTAL MONITORING; FEASIBILITY STUDY; FORECASTING; MICROBIAL CONTAMINATION; POLLUTANT; REGRESSION ANALYSIS; SEASHORE; STATISTICAL MODEL; UNITED STATES; VIRTUAL REALITY; WATER QUALITY;

BATHING BEACHES; ENVIRONMENTAL MONITORING; ESCHERICHIA COLI; FEASIBILITY STUDIES; FORECASTING; FRESH WATER; LEAST-SQUARES ANALYSIS; MODELS, BIOLOGICAL; OHIO; REGRESSION ANALYSIS; SOFTWARE; WATER MICROBIOLOGY;

CALIFORNIA; HUNTINGTON BEACH; NORTH AMERICA; UNITED STATES;

BACTERIA (MICROORGANISMS); ESCHERICHIA COLI;

BACTERIAL LEVELS; BIOLOGICAL CONTAMINANTS; CURRENT CONCENTRATION; ENVIRONMENTAL DATA; ESCHERICHIA COLI (E. COLI); EXPLANATORY VARIABLES; FITTING MODEL; GREAT LAKES; LAKE ERIE; LEAST-SQUARES FITTINGS; LIMITED DATA; MICROBIAL CONTAMINATION; MULTI-YEAR DATA; NOWCASTING; PERSISTENCE MODELS; PREDICTIVE MODELS; PUBLIC CONCERN; PUBLIC DOMAINS; RECREATIONAL WATER; SITE-SPECIFIC; STATIC MODEL; STATISTICAL MODELING; STATISTICAL MODELS; STATISTICAL REGRESSION MODEL; TIME-PERIODS;

EID: 46849107708     PISSN: 0013936X     EISSN: None     Source Type: Journal    
DOI: 10.1021/es703185p     Document Type: Article

References (32)

1. Bartram. J. Health-Based Monitoring of Recreational Waters: The Feasibility of a New Approach (The 'Annapolis Protocol'), WHO/SDE/WSH/99.1; World Health Organization, Geneva, 1999.
2. Boehm, A. B. Enterococci concentrations in diverse coastal environments exhibit extreme variability. Environ. Sci. Technol. 2007, 41 (24), 8227-8232.
3. Nevers, M. B.; Whitman, R. L., Protecting Visitor Health in Beach Waters of Lake Michigan: Problems and Opportunities; Aquatic Ecosystem Health and Management Society 2004.
4. Nevers, M. B.; Whitman, R. L. Nowcast modeling of Escherichia coli concentrations at multiple urban beaches of southern Lake Michigan. Water Res. 2005, 39, 5250-5260.
5. Wymer, L. J.; K. P., B.; Martinson, J. W.; Stutts, W. R.; Schaub, S. A.; Dufour, A. P., The EMPACT Beaches Project. Result from a Study on Microbiological Monitoring in Recreational Waters, EPA 600/R-04/023; U.S. Environmental Protection Agency, 2005.
6. Boehm, A. B.; Keymer, D. P.; Shellenbarger, G. G. An analytical model of enterococci inactivation, grazing, and transport in the surf zone of a marine beach. Water Res. 2005, 39 (15), 3565-3578.
7. Hou, D.; Rabinovici, S. J. M.; Boehm, A. B. Enterococci predictions from partial least squares regression models in conjunction with a single-sample standard improve the efficacy of beach management advisories. Environ. Sci. Technol. 2006, 40, 1737-1743.
8. Crowther, J.; Wyer, M. D.; Bradford, M.; Kay, D.; Francis, C. A.; Knisel, W. G. Modelling faecal indicator concentrations in large rural catchments using land use and topographic data. J. Appl. Microbiol. 2003, 94 (6), 962-973.
9. Kay, D.; Wyer, M.; Crowther, J.; Stapleton, C.; Bradford, M.; McDonald, A.; Greaves, J.; Francis, C.; Watkins, J. Predicting faecal indicator fluxes using digital land use data in the UK's sentinel Water Framework Directive catchment: The Ribble study. Water Res. 2005, 39 (16), 3967-3981.
10. Kleinheinz, G. T.; McDermott, C. M.; Chomeau, V. Evaluation of avian waste and bird counts as predictors of Escherichia coli contamination at Door County, WI beaches. J. Great Lakes Res. 2006, 32, 117-123.
11. Ferguson, C.; Husman, A. M. D.; Altavilla, N.; Deere, D.; Ashbolt, N. Fate and transport of surface water pathogens in watersheds. Crit. Rev. Environ. Sci. Technol. 2003, 33 (3), 299-361.
12. Whitman, R. L.; Horvath, T. G.; Goodrich, M. L.; Nevers; Wolcott, M. J.; Haack, S. K. Characterization of E. coli levels at 63rd Street Beach. Report to the City of Chicago, Department of the Environment and the Chicago Park District, Chicago, IL, 2001; 85 pp.
13. Liu, L.; Phanikumar, M.; Molloy, S.; Whitman, R.; Shively, D.; Nevers, D.; Schwab, D.; Rose, J. Modeling the transport and inactivation of E. coli and enterococci in the near-shore region of Lake Michigan. Environ. Sci. Technol. 2006, 40 (16), 5022-5028.
14. Mancini, J., Numerical estimates of coliform mortality rates under various conditions. J. Water Pollut. Control Fed. 1978.
15. Schnauder, I.; Bockelmann-Evans, B.; Lin, B. Modelling faecal bacteria pathways in receiving waters. Proc. Inst. Civil Eng., Maritime Eng. 2007, 160 (4), 143-153.
16. Boehm, A.; Whitman, R.; Nevers, M.; Hou, D.; Weisberg, S. Now-Casting Recreational Water Quality. In Statistical Framework for Water Quality Criteria and Monitoring, Wymer, L., Ed.; Wiley: New York, 2007.
17. Boehm, A. B. Model of microbial transport and inactivation in the surf zone and application to field measurements of total coliform in Northern Orange County, California. Environ. Sci. Technol. 2003, 37 (24), 5511-5517.
18. Boehm, A. B.; Grant, S. B.; Kim, J. H.; Mowbray, S. L.; McGee, C. D.; Clark, C. D.; Foley, D. M.; Wellman, D. E. Decadal and shorter period variability of surf zone water quality at Huntington Beach, California. Environ. Sci. Technol. 2002, 36, 3885-3892.
19. Francy, D. S. Ohio Nowcasting Beach Advisories. http://www.ohionowcast. info/index.asp.
20. Francy, D. S.; Gifford, A. M.; Darner, R. A. Escherichia coli at Ohio Bathing Beaches-Distribution, Sources, Waste-Water Indicators, And Predictive Modeling; U.S. Geological Survey: Columbus, OH, 2003.
21. Francy, D. S. , R.A., Darner. Procedures for Developing Models to Predict Exceedances of Recreational Water-Quality Standards at Coastal Beaches, U.S. Geological Survey: Columbus, OH, 2006.
22. Haugland, R. A.; Siefring, S. C.; Wymer, L. J.; Brenner, K. P.; Dufour, A. P. Comparison of Enterococcus measurements in freshwater at two recreational beaches by quantitative polymerase chain reaction and membrane filter culture analysis. Water Res. 2005, 39 (4), 559-568.
23. Wade, T. J.; Calderon, R. L.; Sams, E.; Beach, M.; Brenner, K. P.; Williams, A. H.; Dufour, A. P. Rapidly measured indicators of recreational water quality are predictive of swimming-associated gastrointestinal illness. Environ. Health Perspect. 2006, 114, 5.
24. Draper, N. R.; Smith, H., Applied Regression Analysis, 2ed.; John Wiley & Sons Inc.: New York, 1980.
25. Ramsey, F. L.; Schafer, D. W., the Statistical Sleuth: A Course in Methods of Data Analysis, 2nd ed.; Duxbury Thomson Learning: London, 2002.
26. Ge, Z.; Frick, W. E. Some statistical issues related to multiple linear regression modeling of beach bacteria concentrations. Environ. Res. 2007, 103, 358-364.
27. Nevers, M. B.; Whitman, R. L.; Frick, W. E.; Ge, Z. Interaction and influence of two creeks on Escherichia coli concentrations of nearby beaches: exploration of predictability and mechanisms. J. Environ. Qual. 2007, 36, 8.
28. Olyphant, G. A.; Whitman, R. L. Elements of a predictive model for determining beach closures on a real time basis: the case of 63rd Street Beach Chicago. Environ. Monit. Assess. 2004, 98, 175-190.
29. Olyphant, G. A. Statistical basis for predicting the need for bacterially induced beach closures: Emergence of a paradigm? Water Res. 2005, 39, 4953-4968.
30. Mallows, C. L. Choosing variables in a linear regression: A graphic aid In Central Regional Meeting of the Institute of Mathematical Statistics, Manhattan, Kansas; Institute of Mathematical Statistics: Manhattan, KS, 1964.
31. Kim, J. H.; Grant, S. B. Public mis-notification of coastal water quality a probabilistic evaluation of posting errors at Huntington Beach, California. Environ. Sci. Technol. 2004, 38, 2497-2504.
32. Pfister, M., Earth 911 and Swim Cast for Lake County, IL Beaches., 2007.