Urban pluvial flood modelling in the absence of sewer drainage network data: A physics-based approach

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • C. Montalvo - , University of A Coruna (Author)
  • J. D. Reyes-Silva - , Chair of Urban Water Management (Author)
  • E. Sañudo - , University of A Coruna (Author)
  • L. Cea - , University of A Coruna (Author)
  • J. Puertas - , University of A Coruna (Author)

Abstract

1D/2D dual drainage models have become one of the most useful tools in the study of urban pluvial floods. However, such models require information about the sewer network that is not always readily available. In this study we present a physics-based approach for assessing urban pluvial floods, with the aim of overcoming the common situation of having limited information on the sewer system. The method proposed involves the use of available open-access information within a virtual sewer network generation tool. This realistic approach allows for the implementation of 1D/2D dual drainage models, such as the recently developed Iber-SWMM model. Results obtained from four storm events using a virtual sewer network in Iber-SWMM were compared with those derived using data from the actual sewer network in a coastal town located in NW Spain. These results revealed that the proposed approach can reasonably represent the sewer network's drainage capacity during pluvial floods, especially compared to other simplified approaches, like the rainfall reduction method. The proposed approach also accounts for the sewer network transport capacity and the impact of overflows when a sewer's capacity is exceeded. Hence the study confirms the significant effect of these processes on the magnitude of pluvial flooding in urban areas. The methodology is shown to be robust, and can be applied to any urban settlement in which no proper record of the sewer network is available.

Details

Original languageEnglish
Article number131043
JournalJournal of hydrology
Volume634
Publication statusPublished - May 2024
Peer-reviewedYes

Keywords

ASJC Scopus subject areas

Keywords

  • Data scarcity, Dual models, Iber, SWMM, Urban pluvial flooding