1,390
Views
6
CrossRef citations to date
0
Altmetric
Research papers

Cloud to coast: integrated assessment of environmental exposure, health impacts and risk perceptions of faecal organisms in coastal waters

, , &
Pages 73-86 | Received 30 Mar 2014, Accepted 08 Aug 2014, Published online: 15 Jan 2015

References

  • Ashbolt, N.J., et al., 2010. Predicting pathogen risks to aid beach management: the real value of quantitative microbial risk assessment (QMRA). Water Research, 44 (16), 4692–4703. doi: 10.1016/j.watres.2010.06.048
  • Bai, S. and Lung, W.-S., 2005. Modeling sediment impact on the transport of fecal bacteria. Water Research, 39 (20), 5232–5240. doi: 10.1016/j.watres.2005.10.013
  • Benham, B.L., et al., 2006. Modeling bacteria fate and transport in watersheds to support TMDLs. Transactions of the ASABE, 49 (4), 987–1002. doi: 10.13031/2013.21739
  • de Brauwere, A., et al., 2011. Modelling Escherichia coli concentrations in the tidal Scheldt River and estuary. Water Research, 45 (9), 2724–2738. doi: 10.1016/j.watres.2011.02.003
  • de Brauwere, A., et al., 2014. Integrated modelling of faecal contamination in a densely populated river–sea continuum (Scheldt River and Estuary). Science of the Total Environment, 468–469, 31–45. doi:10.1016/j.scitotenv.2013.08.019
  • Breuer, M., et al., 2012. Fluid–structure interaction using a partitioned semi-implicit predictor–corrector coupling scheme for the application of large-eddy simulation. Journal of Fluids and Structures, 29, 107–130. doi:10.1016/j.jfluidstructs.2011.09.003
  • (CEC), C.o.t.E.C., 1976. Council Directive 76/160/EEC concerning the quality of bathing water. Official Journal of the European Communities, L31, 1–7. Available from: http://europa.eu/legislation_summaries/consumers/consumer_safety/l28007_en.htm [Accessed 2 July 2013].
  • (CEU), C.o.t.E.U., 2006. Directive 2006/7/EC of the European Parliament and of the Council of 15 February 2006 concerning the management of bathing water quality and repealing Directive 76/160/EE. Official Journal of the European Union, L64, 37–51.
  • Chapra, S., 1997. Surface water quality modeling, Series in Water Resources and Environmental Engineering. New York: Mc-Graw-Hill.
  • Chen, N. and Hong, H., 2012. Integrated management of nutrients from the watershed to coast in the subtropical region. Current Opinion in Environmental Sustainability, 4 (2), 233–242. doi: 10.1016/j.cosust.2012.03.007
  • Cho, K.H., et al., 2012. The modified SWAT model for predicting fecal coliforms in the Wachusett Reservoir Watershed, USA. Water Research, 46 (15), 4750–4760. doi: 10.1016/j.watres.2012.05.057
  • Connolly, J.P., Blumberg, A.F., and Quadrini, J.D., 1999. Modeling fate of pathogenic organisms in coastal waters of Oahu, Hawaii. Journal of Environmental Engineering, 125 (5), 398–406. doi: 10.1061/(ASCE)0733-9372(1999)125:5(398)
  • Eric Jones, J. and Davies, A.M., 2010. Application of a finite element model to the computation of tides in the Mersey Estuary and Eastern Irish Sea. Continental Shelf Research, 30 (5), 491–514. doi: 10.1016/j.csr.2010.01.003
  • Field, K.G. and Samadpour, M., 2007. Fecal source tracking, the indicator paradigm, and managing water quality. Water Research, 41 (16), 3517–3538. doi: 10.1016/j.watres.2007.06.056
  • Gao, G., Falconer, R.A., and Lin, B., 2011. Numerical modelling of sediment–bacteria interaction processes in surface waters. Water Research, 45 (5), 1951–1960. doi: 10.1016/j.watres.2010.12.030
  • Gao, G., Falconer, R.A., and Lin, B., 2013. Modelling importance of sediment effects on fate and transport of enterococci in the Severn Estuary, UK. Marine Pollution Bulletin, 67 (1–2), 45–54. doi: 10.1016/j.marpolbul.2012.12.002
  • Ghimire, B. and Deng, Z., 2013. Hydrograph-based approach to modeling bacterial fate and transport in rivers. Water Research, 47 (3), 1329–1343. doi: 10.1016/j.watres.2012.11.051
  • Griffith, J.F., et al., 2009. Evaluation of rapid methods and novel indicators for assessing microbiological beach water quality. Water Research, 43 (19), 4900–4907. doi: 10.1016/j.watres.2009.09.017
  • Gunduz, O. and Aral, M.M., 2005. River networks and groundwater flow: a simultaneous solution of a coupled system. Journal of Hydrology, 301 (1–4), 216–234. doi: 10.1016/j.jhydrol.2004.06.034
  • Haas, C.N., Rose, J.B., and Gerba, C.P., 1999. Quantitative microbial risk assessment. New York: John Wiley & Sons.
  • Haas, C.N., et al., 2000. Development of a dose-response relationship for Escherichia coli O157:H7. International Journal of Food Microbiology 56 (2–3), 153–159. doi: 10.1016/S0168-1605(99)00197-X
  • Hamrick, J.M., 1992. A three-dimensional environmental fluid dynamics computer code: theoretical and computational aspects. Special Report 317. Gloucester Point, VA: Virginia Institute of Marine Science, College of William and Mary.
  • Helmig, R., et al., 2013. Model coupling for multiphase flow in porous media. Advance in Water Resource, 51, 52–66. doi:10.1016/j.advwatres.2012.07.003
  • Henley, J., 2013. England's polluted beaches: stop this tide of filth. Available from: http://www.theguardian.com/environment/2013/jul/07/england-polluted-beaches-tide-of-filth [Accessed 7 July 2013].
  • Huang, G., et al., 2013. Distributed numerical hydrological and hydrodynamic modelling for large river catchment. In: Wang Zhaoyin, Joseph Hun-wei Lee, Gao Jizhang, and Cao Shuyou, eds. Proceed ings of the 35th IAHR World Congress, August 2013, Chengdu, China. Beijing: Tsinghua University Press, 1–12.
  • Kashefipour, S.M., et al., 2002. Hydro-environmental modelling for bathing water compliance of an estuarine basin. Water Research, 36 (7), 1854–1868. doi: 10.1016/S0043-1354(01)00396-7
  • Kashefipour, S.M., Lin, B., and Falconer, R.A., 2006. Modelling the fate of faecal indicators in a coastal basin. Water Research, 40 (7), 1413–1425. doi: 10.1016/j.watres.2005.12.046
  • Kay, D., et al., 2005. Predicting faecal indicator fluxes using digital land use data in the UK's sentinel Water Framework Directive catchment: the Ribble study. Water Research, 39 (16), 3967–3981. doi: 10.1016/j.watres.2005.07.006
  • Lai, X., et al., 2013. Large-scale hydrodynamic modeling of the middle Yangtze River Basin with complex river–lake interactions. Journal of Hydrology, 492, 228–243. doi:10.1016/j.jhydrol.2013.03.049
  • Lane, A., 2004. Bathymetric evolution of the Mersey Estuary, UK, 1906–1997: causes and effects. Estuarine, Coastal and Shelf Science, 59 (2), 249–263. doi: 10.1016/j.ecss.2003.09.003
  • Luo, J., et al., 2013. Numerical modelling of hydrodynamics and sand transport in the tide-dominated coastal-to-estuarine region. Marine Geology, 342, 14–27. doi:10.1016/j.margeo.2013.06.004
  • Miller, G.C. and Zepp, R.G., 1979. Effects of suspended sediments on photolysis rates of dissolved pollutants. Water Research, 13 (5), 453–459. doi: 10.1016/0043-1354(79)90038-1
  • Ouattara, N.K., et al., 2013. Modelling faecal contamination in the Scheldt drainage network. Journal of Marine Systems, 128 (2013), 77–88. doi:10.1016/j.jmarsys.2012.05.004
  • Park, I.K., et al., 2013. An implicit code coupling of 1-D system code and 3-D in-house CFD code for multi-scaled simulations of nuclear reactor transients. Annals of Nuclear Energy, 59, 80–91. doi:10.1016/j.anucene.2013.03.048
  • Pye, K., et al., 2010. Cell 11 regional monitoring strategy results of sediment particle size analysis. Report, 1. Kenneth Pye Associates Ltd., External Investigation Report EX1219, October 2010.
  • Saul, A.J., et al., 2011. C2C CLOUD TO COAST: Integrated assessment of environmental exposure, health impacts and risk perceptions of faecal organisms in coastal waters, project report. Available from: http://www.shef.ac.uk/c2c [Accessed 2 October 2013].
  • Shrestha, N.K., et al., 2013. OpenMI-based integrated sediment transport modelling of the river Zenne, Belgium. Environmental Modelling & Software, 47, 193–206. doi:10.1016/j.envsoft.2013.05.004
  • Soller, J.A., et al., 2010. Estimated human health risks from exposure to recreational waters impacted by human and non-human sources of faecal contamination. Water Research, 44 (16), 4674–4691. doi: 10.1016/j.watres.2010.06.049
  • Stumpf, C.H., et al., 2010. Loading of fecal indicator bacteria in North Carolina tidal creek headwaters: hydrographic patterns and terrestrial runoff relationships. Water Research, 44 (16), 4704–4715. doi: 10.1016/j.watres.2010.07.004
  • Tetzlaff, D., Capell, R., and Soulsby, C., 2012. Land use and hydroclimatic influences on Faecal Indicator Organisms in two large Scottish catchments: Towards land use-based models as screening tools. Science of the Total Environment, 434, 110–122. doi:10.1016/j.scitotenv.2011.11.090
  • Thomann, R.V. and Mueller, J.A., 1987. Principles of surface water quality modeling and control. New York, NY: Harper & Row Publishers.
  • Tseng, L.Y. and Jiang, S.C., 2012. Comparison of recreational health risks associated with surfing and swimming in dry weather and post-storm conditions at Southern California beaches using quantitative microbial risk assessment (QMRA). Marine Pollution Bulletin, 64 (5), 912–918. doi: 10.1016/j.marpolbul.2012.03.009
  • Wilkinson, J., et al., 1995. Modelling faecal coliform dynamics in streams and rivers. Water Research, 29 (3), 847–855. doi: 10.1016/0043-1354(94)00211-O
  • Yang, L., et al., 2002. Integration of a 1-D river model with object-oriented methodology. Environmental Modelling & Software, 17 (8), 693–701. doi: 10.1016/S1364-8152(02)00029-4
  • Zhang, H., et al., 2012. An integrated multi-level watershed-reservoir modeling system for examining hydrological and biogeochemical processes in small prairie watersheds. Water Research, 46 (4), 1207–1224. doi: 10.1016/j.watres.2011.12.021
  • Zhou, J., Pan, S., and Falconer, R.A., 2014. Effects of open boundary location on the far-field hydrodynamics of a Severn Barrage. Ocean Modelling, 73, 19–29. doi:10.1016/j.ocemod.2013.10.006