Review: A critical review of integrated urban water modelling - Urban drainage and beyond

  • Authors:
  • Peter M. Bach;Wolfgang Rauch;Peter S. Mikkelsen;David T. Mccarthy;Ana Deletic

  • Affiliations:
  • Monash Water for Liveability, Department of Civil Engineering, Building 60, Monash University, Clayton, 3800 VIC, Australia;Unit of Environmental Engineering, University of Innsbruck, Technikerstraíe 13, 6020 Innsbruck, Austria;Department of Environmental Engineering, DTU Environment, Technical University of Denmark, Miljøvej, Building 113, 2800Kgs., Lyngby, Denmark;Monash Water for Liveability, Department of Civil Engineering, Building 60, Monash University, Clayton, 3800 VIC, Australia;Monash Water for Liveability, Department of Civil Engineering, Building 60, Monash University, Clayton, 3800 VIC, Australia

  • Venue:
  • Environmental Modelling & Software
  • Year:
  • 2014

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Abstract

Modelling interactions in urban drainage, water supply and broader integrated urban water systems has been conceptually and logistically challenging as evidenced in a diverse body of literature, found to be confusing and intimidating to new researchers. This review consolidates thirty years of research (initially driven by interest in urban drainage modelling) and critically reflects upon integrated modelling in the scope of urban water systems. We propose a typology to classify integrated urban water system models at one of four 'degrees of integration' (followed by its exemplification). Key considerations (e.g. data issues, model structure, computational and integration-related aspects), common methodology for model development (through a systems approach), calibration/optimisation and uncertainty are discussed, placing importance on pragmatism and parsimony. Integrated urban water models should focus more on addressing interplay between social/economical and biophysical/technical issues, while its encompassing software should become more user-friendly. Possible future directions include exploring uncertainties and broader participatory modelling.