Abstract
Detailed full hydrodynamic 1D-2D dual drainage models are a well-established approach to simulate urban pluvial floods. However, despite modelling advances and increasing computational power, this approach remains unsuitable for many real time applications. We propose and test two computationally efficient surrogate models. The first approach links a detailed 1D sewer model to a GIS-based overland flood network. For the second approach, we developed a conceptual sewer and flood model using data-driven and physically based structures, and coupled the model to pre-simulated flood maps. The city of Ghent (Belgium) is used as a test case. Both surrogate models can provide comparable results to the original model in terms of peak surface flood volumes and maximum flood extent and depth maps, with a significant reduction in computing time.
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References
Aquafin (2005) Hydronaut procedure, versie 6.0 (internal modelling guidelines, in Dutch)
Aronica G, Bates PD, Horritt MS (2002) Assessing the uncertainty in distributed model predictions using observed binary pattern information within GLUE. Hydrol Process 16:2001–2016. https://doi.org/10.1002/hyp.398
Bermúdez M, Neal JC, Bates PD et al (2017) Quantifying local rainfall dynamics and uncertain boundary conditions into a nested regional-local flood modeling system. Water Resour Res 53:2770–2785. https://doi.org/10.1002/2016WR019903
Chen AS, Djordjevic S, Fowler HJ, et al (2009) Pluvial flood modelling of the South East London Resilience Zone in the Community Resilience to Extreme Weather (CREW) Project. In: Flood and Coastal Risk Management Conference. Telford, UK
Deltares (2017) SOBEK. Hydrodynamics, Rainfall Runoff and Real Time Control. User Manual SOBEK 2.15
DHI (2012) MIKE FLOOD User Manual
Duncan A, Chen AS, Keedwell E, et al (2013) RAPIDS: Early Warning System for Urban Flooding and Water Quality Hazards. In: Machine Learning in Water Systems symposium: part of AISB Annual Convention 2013, University of Exeter, UK, 3-5 April 2013
Duncan AP, Chen AS, Keedwell EC, et al (2011) Urban flood prediction in real-time from weather radar and rainfall data using artificial neural networks. In: Weather Radar and Hydrology International Symposium. IAHS Red Book Series no. 351
Environment Agency (2013) What is the updated flood map for surface water? Report version 1.0,Environment Agency, Bristol. Available at http://www.gov.uk/government/uploads/system/uploads/attachment_data/file/297432/LIT_8988_0bf634.pdf
Ghimire B, Chen AS, Guidolin M et al (2013) Formulation of a fast 2D urban pluvial flood model using a cellular automata approach. J Hydroinf 15:676. https://doi.org/10.2166/hydro.2012.245
Henonin J, Russo B, Mark O, Gourbesville P (2013) Real-time urban flood forecasting and modelling – a state of the art. J Hydroinf 15:717–736
Innovyze (2015) InfoWorks ICM Help v5.5
Jahanbazi M, Egger U (2014) Application and comparison of two different dual drainage models to assess urban flooding. Urban Water J 11:584–595. https://doi.org/10.1080/1573062X.2013.871041
Keupers I, Willems P (2015) CSO water quality generator based on calibration to WWTP influent data. In: Proceedings of the 10th International Conference on Urban Drainage Modelling. Québec, pp 97–104
Kroll S, Wambecq T, Weemaes M et al (2017) Semi-automated buildup and calibration of conceptual sewer models. Environ Model Softw 93:344–355. https://doi.org/10.1016/j.envsoft.2017.02.030
Leitão JP, Simões NE, Maksimović Č et al (2010) Real-time forecasting urban drainage models: full or simplified networks? Water Sci Technol 62:2106–2114. https://doi.org/10.2166/wst.2010.382
Li X, Zhou F, Lodewyk S (2010) Applications of Artificial Neural Networks in Urban Water System. In: Watershed Management 2010. American Society of Civil Engineers, Reston, VA, pp 508–519
Liu Y, Pender G (2013) Carlisle 2005 urban flood event simulation using cellular automata-based rapid flood spreading model. Soft Comput 17:29–37. https://doi.org/10.1007/s00500-012-0898-1
Maksimovic C, Prodanovic D (2001) Modelling of Urban Flooding—Breakthrough or Recycling of Outdated Concepts. In: Urban Drainage Modeling. American Society of Civil Engineers, Reston, pp 1–9
Maksimović Č, Prodanović D, Boonya-Aroonnet S et al (2009) Overland flow and pathway analysis for modelling of urban pluvial flooding. J Hydraul Res 47:512–523. https://doi.org/10.1080/00221686.2009.9522027
Muñoz C, Wang LP, Willems P (2015) Towards a high resolution stochastic rainfall generator for urban applications. In: Molnar P, Peleg, N (eds) Proceedings of the 10th International Workshop on Precipitation in Urban Areas
Neal J, Villanueva I, Wright N et al (2012) How much physical complexity is needed to model flood inundation? Hydrol Process 26:2264–2282. https://doi.org/10.1002/hyp.8339
Pappenberger F, Frodsham K, Beven K et al (2007) Fuzzy set approach to calibrating distributed flood inundation models using remote sensing observations. Hydrol Earth Syst Sci 11:739–752. https://doi.org/10.5194/hess-11-739-2007
Razavi S, Tolson BA, Burn DH (2012) Review of surrogate modeling in water resources. Water Resour Res 48:W07401. https://doi.org/10.1029/2011WR011527
Schmitt TG, Thomas M, Ettrich N (2004) Analysis and modeling of flooding in urban drainage systems. J Hydrol 299:300–311. https://doi.org/10.1016/j.jhydrol.2004.08.012
Schubert JE, Sanders BF (2012) Building treatments for urban flood inundation models and implications for predictive skill and modeling efficiency. Adv Water Resour 41:49–64. https://doi.org/10.1016/j.advwatres.2012.02.012
Shapiro M, Westervelt J (1992) R.MAPCALC An Algebra for GIS and Image Processing. U.S. Army Construction Engineering Research Laboratory. Champaign, IL
Shook K, Pomeroy JW, Spence C, Boychuk L (2013) Storage dynamics simulations in prairie wetland hydrology models: evaluation and parameterization. Hydrol Process 27:1875–1889. https://doi.org/10.1002/hyp.9867
Solomatine DP, Ostfeld A (2008) Data-driven modelling: some past experiences and new approaches. J Hydroinf 10:3–22. https://doi.org/10.2166/hydro.2008.015
Stephens E, Schumann G, Bates P (2014) Problems with binary pattern measures for flood model evaluation. Hydrol Process 28:4928–4937. https://doi.org/10.1002/hyp.9979
van Dijk E, van der Meulen J, Kluck J, Straatman JHM (2014) Comparing modelling techniques for analysing urban pluvial flooding. Water Sci Technol 69:305–311. https://doi.org/10.2166/wst.2013.699
Willems P (2013) Revision of urban drainage design rules after assessment of climate change impacts on precipitation extremes at Uccle, Belgium. J Hydrol 496:166–177. https://doi.org/10.1016/J.JHYDROL.2013.05.037
Wolfs V, Willems P (2014) Development of discharge-stage curves affected by hysteresis using time varying models, model trees and neural networks. Environ Model Softw 55:107–119. https://doi.org/10.1016/j.envsoft.2014.01.021
Wolfs V, Willems P (2017) Modular Conceptual Modelling Approach and Software for Sewer Hydraulic Computations. Water Resour Manag 31:283–298. https://doi.org/10.1007/s11269-016-1524-2
XP Solutions (2014) XP SWMM. Stormwater & Wastewater Management Model. Getting started manual
Yaseen ZM, El-shafie A, Jaafar O et al (2015) Artificial intelligence based models for stream-flow forecasting: 2000–2015. J Hydrol 530:829–844
Zhang S, Pan B (2014) An urban storm-inundation simulation method based on GIS. J Hydrol 517:260–268. https://doi.org/10.1016/j.jhydrol.2014.05.044
Acknowledgments
The authors would like to thank the Spanish Regional Government of Galicia (Postdoctoral grant ED481B 2014/156), Agentschap Innoveren en Ondernemen (Vlaio) for funding, Innovyze for the InfoWorks ICM license, and the water company Farys for the original 1D sewer model of the area. The research is conducted within the project PLURISK for the Belgian Science Policy Office.
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Bermúdez, M., Ntegeka, V., Wolfs, V. et al. Development and Comparison of Two Fast Surrogate Models for Urban Pluvial Flood Simulations. Water Resour Manage 32, 2801–2815 (2018). https://doi.org/10.1007/s11269-018-1959-8
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DOI: https://doi.org/10.1007/s11269-018-1959-8