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Recreational use assessment of water-based activities, using time-lapse construction cameras

Abstract

Recreational exposure to surface waters during periods of increased pathogen concentration may lead to a significantly higher risk of illness. However, estimates of elementary exposure factors necessary to evaluate health risk (i.e., usage distributions and exposure durations) are not available for many non-swimming water-related activities. No prior studies have assessed non-swimming water exposure with respect to factors leading to impaired water quality from increased pathogen concentration, such as weather condition (rain events produce increased runoff and sewer overflows) and type of day (heavy recreational periods). We measured usage patterns and evaluated the effect of weather and type of day at eight water sites located within Philadelphia, by using a novel “time lapse photography” technology during three peak recreational seasons (May–September) 2008–2010. Camera observations validated with simultaneous in-person surveys exhibited a strong correlation (R2=0.81 to 0.96) between the two survey techniques, indicating that the application of remote photography in collecting human exposure data was appropriate. Recreational activities usage varied more on a temporal basis than due to inclement weather. Only 14% (6 out of 44) of the site-specific activity combinations showed dry weather preference, whereas 41.5% (17 out of 41) of the combinations indicated greater usage on weekends as compared with weekday. In general, the log normal distribution described the playing and wading duration distribution, while the gamma distribution was the best fit for fishing durations. Remote photography provided unbiased, real-time human exposure data and was less personnel intensive compared with traditional survey methods. However, there are potential limitations associated with remote surveillance data related to its limited view. This is the first study to report that time lapse cameras can be successfully applied to assess water-based human recreational patterns and can provide precise exposure statistics for non-swimming recreational exposures.

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References

  1. Cordell H.K. Outdoor Recreation for 21st Century America: A Report to the Nation: The National Survey on Recreation and the Environment. Venture publishing Inc., State College, PA, 2004.

    Google Scholar 

  2. Dorevitch S., Panthi S., Huang Y., Li H., Michalek A.M., and Pratap P., et al. Water ingestion during water recreation. Water Res 2011: 45 (5): 2020–2028.

    Article  CAS  Google Scholar 

  3. Given S., Pendleton L.H., and Boehm A.B. Regional Public Health Cost Estimates of Contaminated Coastal Waters: A Case Study of Gastroenteritis at Southern California Beaches. Environ Sci Technol 2006: 40 (16): 4851–4858.

    Article  CAS  Google Scholar 

  4. Turbow D.J., Osgood N.D., and Jiang S.C. Evaluation of recreational health risk in coastal waters based on enterococcus densities and bathing patterns. Environ Health Perspect 2003: 111 (4): 598–603.

    Article  Google Scholar 

  5. Kay D., Fleisher J.M., Salmon R.L., Jones F., Wyer M.D., and Godfree A.F., et al. Predicting likelihood of gastroenteritis from sea bathing: results from randomised exposure. Lancet 1994: 344 (8927): 905–909.

    Article  CAS  Google Scholar 

  6. Soller J.A., Olivieri A.W., Crook J., Cooper R.C., Tchobanoglous G., and Parkin R.T., et al. Risk-Based Approach To Evaluate the Public Health Benefit of Additional Wastewater Treatment. Environ Sci Technol 2003: 37 (9): 1882–1891.

    Article  CAS  Google Scholar 

  7. Sidman C, Swett R, Fik T, Fann S, Fann D, and Sargent B . A Recreational Boating Characterization for the Greater Charlotte Harbor. In: Florida Department of Environmental Protection, and Florida Coastal Management Program (eds.): Florida, September 2005.

  8. Prüss A. Review of epidemiological studies on health effects from exposure to recreational water. Int J Epidemiol 1998: 27 (1): 1–9.

    Article  Google Scholar 

  9. Wade T.J., Pai N., Eisenberg J.N.S., and Colford J.M. Do US Environmental Protection Agency Water Quality Guidelines for Recreational Waters Prevent Gastrointestinal Illness? A Systematic Review and Meta-analysis. Environ Health Perspect 2003: 111 (8): 1102–1109.

    Article  Google Scholar 

  10. Roberts J.D., Silbergeld E.K., and Graczyk T. A Probabilistic Risk Assessment of Cryptosporidium Exposure Among Baltimore Urban Anglers. J Toxicol Environ Health A 2007: 70 (18): 1568–1576.

    Article  CAS  Google Scholar 

  11. Stone D.L., Harding A.K., Hope B.K., and Slaughter-Mason S. Exposure Assessment and Risk of Gastrointestinal Illness Among Surfers. J Toxicol Environ Health A 2008: 71 (24): 1603–1615.

    Article  CAS  Google Scholar 

  12. Geosyntec. Dry and Wet Weather Risk Assessment of Human Health Impacts of Disinfection vs. no Disinfection of the Chicago Area Waterways System (CWS), In: Chicago M.W.R.D.o.G. (ed.), Geosyntec Consultants, Chicago, IL, 2008.

  13. Rijal G., Petropoulou C., Tolson J.K., DeFlaun M., Gerba C., and Gore R., et al. Dry and wet weather microbial characterization of the Chicago area waterway system. Water Sci Technol 2009: 60 (7): 1847–1855.

    Article  CAS  Google Scholar 

  14. Rijal G., Tolson J.K., Petropoulou C., Granato T.C., Glymph A., and Gerba C., et al. Microbial risk assessment for recreational use of the Chicago area waterway system. J Water Health 2011: 9 (1): 169–186.

    Article  CAS  Google Scholar 

  15. Kollias L ., Zmuda J ., Rijial G ., and Granato T . Expert Review Report regarding USEPA's Water Quality Criteria for Bacteria -1986: Application to Secondary Contact Recreation. Research and Development Department, Metropolitan Water Reclamation District of Greater Chicago, IL, July 2006.

  16. Kollias L., Granato T., Lanyon R., Dennison S., Rijal G., and Zhang H. Mwrdgcs support of the use attainability analysis for the chicago area waterways. Proc Water Environ Federation 2008: 2008 (9): 6136–6147.

    Article  Google Scholar 

  17. Guggisberg C.A. Early Wildlife Photographers. Taplinger Pub. Co. (New York), New York, 1977.

    Google Scholar 

  18. Booms T.L., and Fuller M.R. Time-Lapse Video System Used to Study Nesting Gyrfalcons (Uso de un sistema de video de lapsos de tiempo para estudiar el anidaje de Falco rusticolus). J Field Ornithol 2003: 74 (4): 416–422.

    Article  Google Scholar 

  19. Cutler T.L., and Don E.S. Using Remote Photography in Wildlife Ecology: A Review. Wildl Society Bull 1999: 27 (3): 571–581.

    Google Scholar 

  20. Schelkens P, Ebrahimi T, Cristobal G, and Truchetet F, In: (eds.). Detection of Activity Pattern Changes Among Elderly with 3D Camera Technology 2008: 7000. Strasbourg, France, SPIE, pp. 70000O–70010.

    Google Scholar 

  21. Andersson I.-M., Niemelä R., Rosén G., and Säämänen A. Control of Styrene Exposure by Horizontal Displacement Ventilation. Appl Occup Environ Hyg 1993: 8 (12): 1031–1037.

    Article  CAS  Google Scholar 

  22. Gressel M.G., Heitbrink W.A., McGlothlin J.D., and Fischbach T.J. Real-Time, Integrated, and Ergonomic Analysis of Dust Exposure During Manual Materials Handling. Appl Industr Hyg 1987: 2 (3): 108–113.

    Article  CAS  Google Scholar 

  23. Hakkola M Customer Exposure to Gasoline Vapours at Service Stations Measured with the Finn-Pimex Method, 26th International Commission on Occupational Health (ICOH), Singapore, 2000.

  24. Kaur S., Clark R.D.R., Walsh P.T., Arnold S.J., Colvile R.N., and Nieuwenhuijsen M.J. Exposure visualisation of ultrafine particle counts in a transport microenvironment. Atmospheric Environment 2006: 40 (2): 386–398.

    Article  CAS  Google Scholar 

  25. Rosen G. A Review of Video Exposure Monitoring as an Occupational Hygiene Tool. Ann Occup Hyg 2005: 49 (3): 201–217.

    CAS  PubMed  Google Scholar 

  26. Wang J.D., Solo-Gabriele H.M., Abdelzaher A.M., and Fleming L.E. Estimation of enterococci input from bathers and animals on a recreational beach using camera images. Mar Pollut Bull 2010: 60 (8): 1270–1278.

    Article  CAS  Google Scholar 

  27. Graczyk T.K., Sunderland D., Tamang L., and Breysse P.N. Impact of bathers on levels of Cryptosporidium parvum oocysts and Giardia lamblia cysts in recreational beach waters. Water Res 2007: 41 (15): 3483–3489.

    Article  Google Scholar 

  28. Varness K.J., Pacha R.E., and Lapen R.F. Effects of dispersed recreational activities on the microbiological quality of forest surface water. Appl Environ Microbiol 1978: 36 (1): 95–104.

    CAS  PubMed  PubMed Central  Google Scholar 

  29. Haas C.N., Rose J.B., and Gerba C.P. Quantitative Microbial Risk Assessment. Wiley, New York, 1999.

    Google Scholar 

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Acknowledgements

This work was funded by a local public utility. We additionally thank Dr. Timothy Bartrand, Ben Cohen and Edward Lennon for their valuable assistance and project support.

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Correspondence to Neha Sunger.

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Sunger, N., Teske, S., Nappier, S. et al. Recreational use assessment of water-based activities, using time-lapse construction cameras. J Expo Sci Environ Epidemiol 22, 281–290 (2012). https://doi.org/10.1038/jes.2012.4

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