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Publisher: TAYLOR & FRANCIS LTD
Languages: English
Types: Article
Subjects: TD, GB, GE
Changes in rainfall patterns associated with climate change can affect the operation of a combined sewer system, with the potential increase in rainfall amount. This could lead to excessive spill frequencies and could also introduce hazardous substances into the receiving waters, which, in turn, would have an impact on the quality of shellfish and bathing waters. This paper quantifies the spilling volume, duration and frequency of 19 combined sewer overflows (CSOs) to receiving waters under two climate change scenarios, the high (A1FI), and the low emissions (B1) scenarios, simulated by three global climate models (GCMs), for a study catchment in northwest England. The future rainfall is downscaled, using climatic variables from HadCM3, CSIRO and CGCM2 GCMs, with the use of a hybrid generalized linear–artificial neural network model. The results from the model simulation for the future in 2080 showed an annual increase of 37% in total spill volume, 32% in total spill duration, and 12% in spill frequency for the shellfish water limiting requirements. These results were obtained, under the high emissions scenario, as projected by the HadCM3 as maximum. Nevertheless, the catchment drainage system is projected to cope with the future conditions in 2080 by all three GCMs. The results also indicate that under scenario B1, a significant drop was projected by CSIRO, which in the worst case could reach up to 50% in spill volume, 39% in spill duration and 25% in spill frequency. The results further show that, during the bathing season, a substantial drop is expected in the CSO spill drivers, as predicted by all GCMs under both scenarios.
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    • Abdellatif,M., Atherton,W., Alkhaddar, R., 2013 Application of the Stochastic Model for Temporal Rainfall Disaggregation for Hydrological Studies in North Western England. Journal of Hydroinformatic. 15(2), 555-567.
    • Abdellatif,M., Atherton,W., Alkhaddar, R. (2011) A Methodology for Downscaling Rainfall in North West of England under Climate Change using Hybrid GLMANN Model, Proc. 6th Annu. Bean conf. Liverpool, UK, pp. 142-149.
    • Andrew, F. (2008) Impact of climate change on frequency on pollution event, Shellfish Association of Great Britain.
    • Busuioc1, A., Giorgi, F., Bi, X., Ionita.M., 2005 Comparison of regional climate model and statistical downscaling simulations of different winter precipitation change scenarios over Romania. Theor. Appl. Climatol, 86(1), 101-123.
    • Butler, D., Davies, J., 2004Urban Drainage. Spon press, USA and Canada.
    • Chandler,R.E., Wheater, H. S., 2002. Analysis of rainfall variability using Generalized Linear Models - a case study from the West of Ireland .Water Resour.Res, 38(10), 1192.
    • Cowpertwait, P.S.P., Metcalfe, A.V., O'Connell, P.E., Mawdsley, J.A. and Threlfall, J.L. , 1991. Stochastic generation of rainfall time series. Foundation for Water Research Report F0217.
    • Cowpertwait, P.S.P., Lockie, T., Davies, M.D., 2004 A stochastic spatial-temporal disaggregation model for rainfall, Research Letters in the Information and Mathematical Sciences, 6, 109-123.
    • Cowpertwait, P.S.P., 2005. Report for WRc on Stochastic Disaggregation procedure Based on A Poisson Rectangular Pulses Model. STORMPAC user guide.
    • Environment Agency., 2009. Water Quality Planning: Identifying Schemes for the PR09 National Environment Programme. Environment Agency, Bristol.
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