Evaluating a microbial water quality prediction model for beach management under the revised EU Bathing Water Directive

Bae, 2010, Classification and regression tree (CART) analysis for indicator bacterial concentration prediction for a California coastal area, Water Sci. Technol., 61, 545, 10.2166/wst.2010.842 Bedri, 2014, An integrated catchment-coastal modelling system for real-time water quality forecasts, Environ. Model. Softw., 61, 458, 10.1016/j.envsoft.2014.02.006 Bennett, 2013, Characterising performance of environmental models, Environ. Model. Softw., 40, 1, 10.1016/j.envsoft.2012.09.011 Boehm, 2007, Enterococci concentrations in diverse coastal environments exhibit extreme variability, Environ. Sci. Technol., 41, 8227, 10.1021/es071807v Bruen, 2001, Achieving EU standards in recreational waters CEC, 1976, Council of the European Communities Directive of 8th December 1975 concerning the quality of bathing water (76/160/EEC), Off. J. Eur. Commun., L31, 1 Cui, 2013, Spatial and temporal variation in Enterococci abundance and its relationship to the microbial community in Hawaii Beach sand and water, Appl. Environ. Microbiol., 79, 3601, 10.1128/AEM.00135-13 DHI, 2013 DHI, 2013 EC, 2006, European Council Directive 2006/7/EC of 15 February 2006 concerning the management of bathing water quality and repealing Directive 76/160/EEC, Off. J. Eur. Commun., 37 EPA, 2013 ETC, 2012 Fleisher, 1996, Marine waters contaminated with domestic sewage: nonenteric illnesses associated with bather exposure in the United Kingdom, Am. J. Public Health, 86, 1228, 10.2105/AJPH.86.9.1228 Francy, 2009, Use of predictive models and rapid methods to now-cast bacteria levels at coastal beaches, Aquat. Ecosyst. Health Manag., 12, 177, 10.1080/14634980902905767 Frick, 2008, Now-casting and forecasting concentrations of biological contaminants at beaches: a feasibility and case study, Environ. Sci. Technol., 42, 4818, 10.1021/es703185p Haile, 1999, The health effects of swimming in ocean water contaminated by storm drain runoff, Epidemiology, 10, 355, 10.1097/00001648-199907000-00004 He, 2008, Water quality prediction of marine recreational beaches receiving watershed baseflow and stormwater runoff in southern California, USA, Water Res., 42, 2563, 10.1016/j.watres.2008.01.002 Hou, 2006, Enterococci predictions from partial least squares regression models in conjunction with a single-sample standard to improve the efficacy of beach management advisories, Environ. Sci. Technol., 40, 1737, 10.1021/es0515250 ISO, 2000 Mansfield, 1992 Manzato, 2007, Sounding-derived indices for neural network based short-term thunderstorm and rainfall forecasts, Atmos. Res., 83, 349, 10.1016/j.atmosres.2005.10.021 McPhail, 2009, Bathing water signage and predictive water quality models in Scotland, Aquat. Ecosyst. Health Manag., 12, 183, 10.1080/14634980902907540 Moriasi, 2007, Model evaluation guidelines for systematic quantification of accuracy in watershed simulations, Trans. Am. Soc. Agric. Biol. Eng., 50, 885 Nevers, 2005, Now-cast modeling of Escherichia coli concentrations at multiple urban beaches of southern Lake Michigan, Water Res., 39, 5250, 10.1016/j.watres.2005.10.012 Nevers, 2011, Efficacy of monitoring and empirical predictive modeling at improving public health protection at Chicago beaches, Water Res., 45, 1659, 10.1016/j.watres.2010.12.010 Olyphant, 2004, Elements of a predictive model for determining beach closures on a real-time basis: the case of 63rd Street Beach, Chicago, Environ. Monit. Assess., 98, 175, 10.1023/B:EMAS.0000038185.79137.b9 Parkhurst, 2005, Indicator bacteria at five swimming beaches - analysis using random forests, Water Res., 39, 1354, 10.1016/j.watres.2005.01.001 Quilliam, 2011, Spatial variation of waterborne Escherichia coli – implications for routine water quality monitoring, J. Water Health, 9, 734, 10.2166/wh.2011.057 Rosenfeld, 2006, Temporal and spatial variability of fecal indicator bacteria in the surf zone off Huntington Beach, CA, Mar. Environ. Res., 61, 471, 10.1016/j.marenvres.2006.02.003 Stidson, 2012, Development and use of modelling techniques for real-time bathing water quality predictions, Water Environ. J., 26, 7, 10.1111/j.1747-6593.2011.00258.x Thoe, 2014, Predicting water quality at Santa Monica Beach: evaluation of five different models for public notification of unsafe swimming conditions, Water Res., 67, 105, 10.1016/j.watres.2014.09.001 Thoe, 2012, Daily prediction of marine beach water quality in Hong Kong, J. Hydro Environ. Res., 6, 164, 10.1016/j.jher.2012.05.003 USEPA, 2010 USEPA, 2010 Wade, 2008, High sensitivity of children to swimming-associated gastrointestinal illness: results using a rapid assay of recreational water quality, Epidemiology, 19, 375, 10.1097/EDE.0b013e318169cc87 Whitman, 2004, Escherichia coli sampling reliability at a frequently closed Chicago Beach: monitoring and management implications, Environ. Sci. Technol., 38, 4241, 10.1021/es034978i WHO, 2003, Guidelines for safe recreational water environments, vol. 1 Willmott, 1981, On the validation of models, Phys. Geogr., 2, 184, 10.1080/02723646.1981.10642213 Zhang, 2012, Development of predictive models for determining enterococci levels at Gulf Coast beaches, Water Res., 46, 465, 10.1016/j.watres.2011.11.027