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BY-NC-ND 3.0 license Open Access Published by De Gruyter Open Access November 25, 2014

Monitoring the future behaviour of urban drainage system under climate change: a case study from north-western England

  • Yassin Z. Osman EMAIL logo
From the journal Open Engineering

Abstract

Catchments hydrological conditions and responses are anticipated to be affected by the changes in weather patterns, increasing in climate variability and extreme rainfall. Thus, engineers have no choice but to consider climate change in their practices in order to adapt and serve the public interests. This paper is an exploration of the impacts of climate change on the hydrology that underlies the hydraulic design of urban drainage system. Future rainfall has been downscaled from the Global Climate Model (GCM) employing a hybrid Generalised Linear Model (GLM) and Artificial Neural Network (ANN) downscaling techniques under different greenhouse emission scenarios. The output from this model is applied to a combined sewer system of an urban drainage catchment in the Northwest of England during the 21st Century to monitor its future behaviour in winter and summer seasons. Potential future changes in rainfall intensity are expected to alter the level of service of the system, causing more challenges in terms of surface flooding and increase in surcharge level in sewers. The results obtained demonstrate that there is a real chance for these effects to take place and therefore would require more attention from designers and catchment managers.

References

[1] Juuti P. S. and Katko T. S., eds., Water, time and European cities: historymatters for the futures.Watertime project. EU Contract No: EVK4–2002–0095, 2005. Available from: http://www. watertime.net/Docs/WP3/WTEC.pdf. Accessed 3rd August 2014. Search in Google Scholar

[2] Read G. F., Sewers: replacement and new construction, Elsevier, 2004. 10.1016/B978-075065083-0/50001-3Search in Google Scholar

[3] IPCC. The Fourth Assessment Report (AR4) of the United Nations Intergovernmental Panel on Climate Change (IPCC), Working Group I, The Physical Science Basis of Climate Change, 2007. Search in Google Scholar

[4] Butler D. and Davies J., Urban Drainage, Spon press, USA and Canada, 2004. 10.1201/b12810Search in Google Scholar

[5] UKCP09 Climate Projection. Assessing the differences-UKCIP02 & UKCP09, 2009. Search in Google Scholar

[6] Hall J. W., Evans E. P., Penning-Rowsell E. C., Sayers P. B., Thorne C. R., Saul A. J., Quantified scenarios analysis of drivers and impacts of changing flood Risk in England and Wales: 2030–2100, Environmental Hazards, 2004, 5, 51-65. 10.1016/j.hazards.2004.04.002Search in Google Scholar

[7] Tait S. J., Ashley R. M., Cashman A. Blanksby J., Saul A. J., Sewer system Operation into the 21st century, study of selected responses from a UK perspective, Urban Water, 2008, 5, 79-88. 10.1080/15730620701737470Search in Google Scholar

[8] Ashfaq M., Bowling Laura C., Cherkauer K., Pal J. S., Diffenbaugh N. S., Influence of climate model biases and daily-scale temperature and precipitation events on hydrological impacts assessment: A case study of the United States, Journal of Geophysical Research, 2010, 115, 15-37. 10.1029/2009JD012965Search in Google Scholar

[9] United Utilities. Windermere UID Study, Need Report No.90012877, UK, 2010. Search in Google Scholar

[10] Abdellatif M., Atherton W., Alkhaddar R., A Hybrid Generalised Linear & Levenberg-Marquardt ANN Approach for Downscaling Future Rainfall, Hydrology Research Journal, 2013, 44, 1084-1101. 10.2166/nh.2013.045Search in Google Scholar

[11] Climate Change Risk Assessment (CCRA). Summary of Key Findings from the UK. Climate Change Risk Assessment, DECC, UK, 2012. Search in Google Scholar

[12] Hoppe H., Impact of input data uncertainties on urban drainage models: climate change- a crucial issue? 11th International Conference on Urban Drainage (31th August - 5th September 2008, Edinburgh, Scotland, UK).Search in Google Scholar

Received: 2014-8-3
Accepted: 2014-9-2
Published Online: 2014-11-25

© 2015 A. S. Sayyad et al.

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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