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

Daniel Jato-Espino, Nora Sillanpaa, Sue Charlesworth, Jorge Rodriguez-Hernandez

Research output: Contribution to journalArticle

3 Citations (Scopus)
14 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)(in press)
Number of pages15
JournalEnvironmental Modelling & Software
Volume(in press)
Early online date7 Jun 2017
DOIs
Publication statusE-pub ahead of print - 7 Jun 2017

Fingerprint

catchment
rainfall
climate change
methodology
stormwater
simulation
urban drainage
peak discharge
runoff
calibration
prediction
modeling
experiment
statistics
effect
parameter

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Environmental Modelling & Software. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Environmental Modelling & Software, (2017) DOI: 10.1016/j.envsoft.2017.05.008

© 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

  • Climate change
  • Design of experiments
  • Geographic information system
  • Stormwater modelling
  • Urban hydrology

Cite this

A simulation-optimization methodology to model urban catchments under non-stationary extreme rainfall events. / Jato-Espino, Daniel; Sillanpaa, Nora; Charlesworth, Sue; Rodriguez-Hernandez, Jorge .

In: Environmental Modelling & Software, Vol. (in press), 07.06.2017, p. (in press).

Research output: Contribution to journalArticle

Jato-Espino, Daniel ; Sillanpaa, Nora ; Charlesworth, Sue ; Rodriguez-Hernandez, Jorge . / A simulation-optimization methodology to model urban catchments under non-stationary extreme rainfall events. In: Environmental Modelling & Software. 2017 ; Vol. (in press). pp. (in press).
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