A simulation-optimization methodology to model urban catchments under non-stationary extreme rainfall events

Research output: Contribution to journalArticleScientificpeer-review

Researchers

  • Daniel Jato-Espino
  • Nora Sillanpää
  • Susanne M. Charlesworth
  • Jorge Rodriguez-Hernandez

Research units

  • Universidad de Cantabria
  • Coventry University

Abstract

Urban drainage is being affected by Climate Change, whose effects are likely to alter the intensity of rainfall events and result in variations in peak discharges and runoff volumes which stationary-based designs might not be capable of dealing with. Therefore, there is a need to have an accurate and reliable means to model the response of urban catchments under extreme precipitation events produced by Climate Change. This research aimed at optimizing the stormwater modelling of urban catchments using Design of Experiments (DOE), in order to identify the parameters that most influenced their discharge and simulate their response to severe storms events projected for Representative Concentration Pathways (RCPs) using a statistics-based Climate Change methodology. The application of this approach to an urban catchment located in Espoo (southern Finland) demonstrated its capability to optimize the calibration of stormwater simulations and provide robust models for the prediction of extreme precipitation under Climate Change.

Details

Original languageEnglish
Number of pages15
JournalEnvironmental Modelling and Software
Publication statusE-pub ahead of print - 2017
MoE publication typeA1 Journal article-refereed

    Research areas

  • climate change, design of experiments, geographic information system, stormwater modelling, urban h ydrology

ID: 13637071