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

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

Tutkijat

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

Organisaatiot

  • Universidad de Cantabria
  • Coventry University

Kuvaus

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.

Yksityiskohdat

AlkuperäiskieliEnglanti
Artikkeli103960
Sivumäärä15
JulkaisuEnvironmental Modelling and Software
TilaSähköinen julkaisu (e-pub) ennen painettua julkistusta - 7 kesäkuuta 2017
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

ID: 13637071