On the Use of Surrogate Model Ensembles for Bioretention Cell Design Optimisation under Current and Future Climate Conditions

dc.contributor.advisorKhan, Usman
dc.contributor.authorKhalid, Rahmah Duraid
dc.date.accessioned2021-11-15T15:56:44Z
dc.date.available2021-11-15T15:56:44Z
dc.date.copyright2021-08
dc.date.issued2021-11-15
dc.date.updated2021-11-15T15:56:44Z
dc.degree.disciplineCivil Engineering
dc.degree.levelMaster's
dc.degree.nameMASc - Master of Applied Science
dc.description.abstractUrbanisation and climate change are contributing to increased stormwater runoff, which exacerbates the risk of urban flooding and adversely affects our receiving waters. Bioretention cells (BRCs) can be used to mitigate these impacts, however finding their optimal design can be a time-consuming process, further exacerbated by using physical-based models. Surrogate models, an alternative to physical-based models, are investigated, to determine the impact architecture has on the performance of these stochastic models. Ultimately, the quality of the input set is the biggest determinant of model performance, and selecting the appropriate input set significantly improves model prediction accuracy. This surrogate is then used in a simulation-optimisation framework to streamline the optimisation of BRC design under current and future climate. BRC performance under future climate decreases in comparison with current climate, and existing design guidelines should be updated to reflect those findings.
dc.identifier.urihttp://hdl.handle.net/10315/38802
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectCivil engineering
dc.subject.keywordsBioretention
dc.subject.keywordsClimate change
dc.subject.keywordsEnsemble modelling
dc.subject.keywordsSWMM
dc.subject.keywordsANN
dc.subject.keywordsOptimisation
dc.titleOn the Use of Surrogate Model Ensembles for Bioretention Cell Design Optimisation under Current and Future Climate Conditions
dc.typeElectronic Thesis or Dissertation

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Khalid_Rahmah_D_2021_Masters.pdf
Size:
5.34 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
license.txt
Size:
1.87 KB
Format:
Plain Text
Description:
No Thumbnail Available
Name:
YorkU_ETDlicense.txt
Size:
3.39 KB
Format:
Plain Text
Description: