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

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.

 Fuente: Environmental Modelling and Software (2017) 1-15

Editorial: Elsevier Ltd

 Fecha de publicación: 07/06/2017

Nº de páginas: 15

Tipo de publicación: Artículo de Revista

DOI: 10.1016/j.envsoft.2017.05.008

ISSN: 1364-8152,1873-6726

Proyecto español: RHIVU Ref. BIA2012-32463 ; SUPRIS-SUReS (Ref. BIA2015-65240-C2-1-R MINECO/FEDER, UE)

Url de la publicación: https://doi.org/10.1016/j.envsoft.2017.05.008