Skip to main content
Erschienen in: Water Resources Management 8/2018

16.03.2018

Development and Comparison of Two Fast Surrogate Models for Urban Pluvial Flood Simulations

verfasst von: María Bermúdez, Victor Ntegeka, Vincent Wolfs, Patrick Willems

Erschienen in: Water Resources Management | Ausgabe 8/2018

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

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.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Literatur
Zurück zum Zitat Aquafin (2005) Hydronaut procedure, versie 6.0 (internal modelling guidelines, in Dutch) Aquafin (2005) Hydronaut procedure, versie 6.0 (internal modelling guidelines, in Dutch)
Zurück zum Zitat 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 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
Zurück zum Zitat Deltares (2017) SOBEK. Hydrodynamics, Rainfall Runoff and Real Time Control. User Manual SOBEK 2.15 Deltares (2017) SOBEK. Hydrodynamics, Rainfall Runoff and Real Time Control. User Manual SOBEK 2.15
Zurück zum Zitat 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 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
Zurück zum Zitat 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 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
Zurück zum Zitat Henonin J, Russo B, Mark O, Gourbesville P (2013) Real-time urban flood forecasting and modelling – a state of the art. J Hydroinf 15:717–736CrossRef Henonin J, Russo B, Mark O, Gourbesville P (2013) Real-time urban flood forecasting and modelling – a state of the art. J Hydroinf 15:717–736CrossRef
Zurück zum Zitat Innovyze (2015) InfoWorks ICM Help v5.5 Innovyze (2015) InfoWorks ICM Help v5.5
Zurück zum Zitat 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 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
Zurück zum Zitat 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 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
Zurück zum Zitat 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 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
Zurück zum Zitat 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 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
Zurück zum Zitat Shapiro M, Westervelt J (1992) R.MAPCALC An Algebra for GIS and Image Processing. U.S. Army Construction Engineering Research Laboratory. Champaign, IL Shapiro M, Westervelt J (1992) R.MAPCALC An Algebra for GIS and Image Processing. U.S. Army Construction Engineering Research Laboratory. Champaign, IL
Zurück zum Zitat XP Solutions (2014) XP SWMM. Stormwater & Wastewater Management Model. Getting started manual XP Solutions (2014) XP SWMM. Stormwater & Wastewater Management Model. Getting started manual
Zurück zum Zitat Yaseen ZM, El-shafie A, Jaafar O et al (2015) Artificial intelligence based models for stream-flow forecasting: 2000–2015. J Hydrol 530:829–844CrossRef Yaseen ZM, El-shafie A, Jaafar O et al (2015) Artificial intelligence based models for stream-flow forecasting: 2000–2015. J Hydrol 530:829–844CrossRef
Metadaten
Titel
Development and Comparison of Two Fast Surrogate Models for Urban Pluvial Flood Simulations
verfasst von
María Bermúdez
Victor Ntegeka
Vincent Wolfs
Patrick Willems
Publikationsdatum
16.03.2018
Verlag
Springer Netherlands
Erschienen in
Water Resources Management / Ausgabe 8/2018
Print ISSN: 0920-4741
Elektronische ISSN: 1573-1650
DOI
https://doi.org/10.1007/s11269-018-1959-8

Weitere Artikel der Ausgabe 8/2018

Water Resources Management 8/2018 Zur Ausgabe