Application of the UKCP09 WG Outputs to Assess Performance of Combined Sewers System in a Changing Climate
Publication: Journal of Hydrologic Engineering
Volume 20, Issue 9
Abstract
In many parts of the world, old sewer systems have been designed without consideration for change in climate, so probabilities and risks of sewer surcharge and flooding are elevated due to increase in extreme rainfall events as a consequence of global warming. The current paper is aiming to assess how the climate change on interannual to multidecadal timescale (2020s; 2050s; 2080s) will affect design standards of wastewater networks due to the presumed increase in rainfall intensity and frequency in the Northwest of England area (selected site). Design storms have been analyzed for future rainfall obtained from the UK Climate Projection version 2009 (UKCP09) weather generator (WG), which was applied to the existing urban drainage system to check the level of service in winter and summer seasons. Two emission scenarios (SRES) have been adopted to simulate the greenhouse gas concentration; high scenario (A1FI) and low scenario (B1). Results indicate that the impact of increase in the design storm of the system in winter led to a potential of increase flood volume from manholes and intern basements at risk of flooding with the worst condition associated with 24 h storm in 2080s. Moreover, when this design storm depth increased by only 15%, the corresponding flood volume increase by 40%, this indicates that the relation between the cause of flooding and its consequences is nonlinear. Summer season has an opposite picture, and flood volume is projected to decrease with the increase in the storm duration causing low risk. Considering climate change in this study caused most of urban drainage models runs to be very slow with some interruption in the simulation due to the inflation in some parameters, so caution should be taken.
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References
Abdellatif, M., Atherton, W., and Alkhaddar, R. (2012). “Climate change impacts on the extreme rainfall for selected sites in North Western England.” Open J. Mod. Hydrol., 2(03), 49–58.
Adaptation Sub-Committee (ASC). (2012). “Climate change—is the UK preparing for flooding and water scarcity?” Adaptation Sub-Committee Progress Rep., Digital Parent, U.K.
Ashley, R., et al. (2006). “21st sewerage design: Full report.”, U.K.
Butler, D., and Davies, J. (2004). Urban drainage, Spon press, USA and Canada.
Chandler, R. E., et al. (2007). “Spatial-temporal rainfall modelling with climate change scenarios.”, Dept. for Environment, Food and Rural Affairs, U.K.
Chau, K. W. (2007). “A split-step particle swarm optimization algorithm in river stage forecasting.” J. Hydrol., 346(3–4), 131–135.
Chen, W., and Chau, K. W. (2006). “Intelligent manipulation and calibration of parameters for hydrological models.” Int. J. Environ. Pollut., 28(3–4), 432–447.
Cheng, C. T., Lin, J. Y., and Sun, Y. G. C. (2005). “Long-term prediction of discharges in Manwan reservoir using artificial neural network models.” Lect. Notes Comput. Sci., 3498, 1040–1045.
Cook, N. J. (1985). “The designer’s guide to wind loading of building structures. Part1: Background, damage survey, wind data and structural classification.” Building research establishment, Garston and Butterworths, London, 371.
Defra. (2009). “UK climate projections report and guidance: Weather generator.” 〈http://ukclimateprojections.metoffice.gov.uk/22530〉 (Sep. 28, 2012).
Evans, E, et al. (2004). Foresight future flooding: Scientific summary: Volume 1, future risks and their drivers, Office of Science and Technology, London.
Frei, C., Scholl, R., Fukutome, S., Schmidli, J., and Vidale, P. L. (2006). “Future change of precipitation extremes in Europe: An inter-comparison of scenarios from regional climate models.” J. Geophys. Res. Atmos., 111(D6), 1984–2012.
Gilleland, E., Katz, R., and Young, G. (2005). Extremes toolkit (extremes), weather and climate applications of extreme value statistics, National Centre for Atmospheric Research (NCAR), Boulder, CO.
Hall, J. W., Evans, E. P., Penning-Rowsell, E. C., Sayers, P. B., Thorne, C. R., and Saul, A. J. (2004). “Quantified scenarios analysis of drivers and impacts of changing flood risk in England and Wales: 2030-2100.” Environ. Hazard., 5(3–4), 51–65.
Harun, S., Hanapi, M., Shamsuddin, S., Amin, M., and Ismail, N. (2008). “Regional climate scenarios using a statistical downscaling approach.” Research Vote No: 78015, Universiti Teknologi, Malaysia.
Houston, D., Werritty, A., Bassett, D., Geddes, A., Hoolachan, A., and McMilla, M. (2011). Pluvial (rain- related) flooding in urban areas: The invisible hazard, 〈http://www.jrf.org.uk/sites/files/jrf/urban-flood-risk-summary.pdf〉 (Dec. 02, 2012).
InfoWorks CS [Computer software]. Innovyze, 〈http://www.innovyze.com/products/infoworks_cs/〉.
IPCC. (2000). “Special report on emission scenarios (SRES), summary for policy makers.” IPCC, working group III of Intergovernmental panel on climate change, U.K.
IPCC. (2007). “Summary for policymakers.” Climate change 2007: Impacts, adaptation and vulnerability. Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change, M. L. Parry, O. F. Canziani, J. P. Palutikof, P. J. van der Linden, and C. E. Hanson, eds., Cambridge University Press, Cambridge, U.K., 7–22.
Jenkins, G., Murphy, J. M., Sexton, D. M. H., Lowe, J. A., Jones, P., and Kilsby, C. G (2009a). UK climate projections: Briefing report, Met Office Hadley Centre, Exeter, U.K.
Jenkins, G., Perry, M., and Prior, G. (2009b). The climate of the United Kingdom and recent trends, Hadley Centre, Met Office, Exeter.
Kay, A. L., and Jones, D. A. (2012). “Transient changes in flood frequency and timing in Britain under potential projections of climate change.” Int. J. Climatol., 32(4), 489–502.
Lenderink, G., and Van Meijgaard, E. (2008). “Increase in hourly precipitation extremes beyond expectations from temperature changes.” Nat. Geosci., 1(8), 511–514.
Maraun, D., et al. (2010). “Precipitation downscaling under climate change. Recent Developments to bridge the gap between dynamical models and the end user.” Rev. Geophys., 48(3), RG3003.
Meehl, G. A., et al. (2007). “Global climate projection.” Climate change 2007: The physical science basis. Contribution of working group 1 to the fourth assessment report of the intergovernmental panel on climate change, S. Solomon, et al. eds., Cambridge University Press, Cambridge, U.K.
Muttil, N., and Chau, K. W. (2006). “Neural network and genetic programming for modelling coastal algal blooms.” Int. J. Environ. Pollut., 28(3–4), 223–238.
Parliamentary Office of Science and Technology. (2007). “Urban flooding.” Rep. No. 289, London, U.K.
Pickands, J. (1975). “Statistical inference using extreme order statistics.” Ann. Stat., 3(1), 119–131.
Prudhomme, C., Wilby, R. L., Crooks, S., Kay, A., and Reynard, N. S. (2010a). “Regionalisation of the impact of climate change on flood flows using a scenario-neutral approach: Application in Great Britain.” Proc., British Hydrological Society Third Int. Symp., Newcastle, U.K.
Prudhomme, C., Wilby, R. L., Crooks, S., Kay, A. L., and Reynard, N. S. (2010b). “Scenario-neutral approach to climate change impact studies: Application to flood risk.” J. Hydrol., 390(3–4), 198–209.
Ramsbottom, D., Sayers, P., and Panzeri, M. (2012a). Climate change risk assessment for the floods and coastal erosion sector, UK Climate Change Risk Assessment, Defra, London.
Ramsbottom, D., Sayers, P., and Panzeri, M. (2012b). “Climate change risk assessment for the floods and coastal erosion sector.” UK Climate Change Risk Assessment, Defra Project Code GA0204, HR Wallingford, London, U.K., 272.
Reynard, N. S., Crooks, S. M., Kay, A. L., and Prudhomme, C. (2009). “Regionalised impacts of climate change on flood flows.”, CEH, Wallingford.
Ryu, J., Butler, D., and Makropoulos, C. (2007). “Assessing sewer flood risk.” IMA Int. Conf. on Flood Risk Assessment, Univ. of Plymouth, U.K.
Tait, S. J., Ashley, R. M., Cashman, A., Blanksby, J., and Saul, A. J. (2008). “Sewer system operation into the 21st century, study of selected responses from a UK perspective.” Urban Water J., 5(1), 79–88.
Taormina, R., Chau, K., and Sethi, R. (2012). “Artificial neural network simulation of hourly groundwater levels in a coastal aquifer system of the Venice lagoon.” Eng. Appl. Artif. Intell., 25(8), 1670–1676.
Tebaldi, C., Hayhoe, K., Arblaster, J. M., and Meehl, G. A. (2006). “Going to the extremes: An Inter-comparison of model-simulated historical and future changes in extremes events.” Clim. Change, 79(3–4), 185–211.
UKCIP and Scottish Climate Change Impacts Partnership (SCCIP). (2009). Assessing the differences-UKCIP02 and UKCP09, U.K.
UKCP09. (2009). 〈http://ukclimateprojections.defra.gov.uk/23223〉 (Sep. 28, 2012).
UKWIR (UK Water Industry Research). (2003). “Climate change and the hydraulic design of sewerage systems. Part III—sewerage system modelling IIIA—changes in the performance of sewerage networks.”, U.K.
UKWIR (UK Water Industry Research). (2011). Climate change modelling for sewerage networks, London, U.K.
United Utilities. (2010). “Windermere UID study.”, U.K.
Wilby, R., Dawson, W. C., and Barrows, E. M. (2002). “SDSM—a decision support tool for the assessment of regional climate change impacts.” Environ. Model. Softw., 17(2), 145–157.
Wilby, R. L., Beven, K. J., and Reynard, N. S. (2008). “Climate change and fluvial flood risk in the UK: More of the same?” Hydrol. Processes, 22(14), 2511–2523.
Wu, C. L., Chau, K. W., and Li, Y. S. (2009). “Predicting monthly stream flow using data-driven models coupled with data preprocessing techniques.” Water Resour. Res., 45(8), W08432.
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Journal of Hydrologic Engineering
Volume 20 • Issue 9 • September 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: May 17, 2014
Accepted: Oct 20, 2014
Published online: Dec 2, 2014
Discussion open until: May 2, 2015
Published in print: Sep 1, 2015
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