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Modelling Green Roof Detention Performance in Cold Climates

10 pagesPublished: September 20, 2018

Abstract

Green roofs (GRs) have become a popular sustainable drainage system (SuDS) technology in urban areas. As many countries and regions experience political encouragement and substitution schemes in implementing GRs, there is a need for reliant models that can support designing purposes. The stormwater management model’s (SWMM) Low Impact Development Green Roof (LID-GR) control is used to simulate the hydrological detention performance of two GRs, GR1 and GR2, with different drainage properties located in Oslo, Norway. This study uses event-based data to replicate GR runoff. Accordingly, four event-models were calibrated using the Shuffled Complex Evolution algorithm with the Nash-Sutcliffe criteria (NSE) as the objective function. Eight events were used for model validation. Simulation results revealed that SWMM’s LID module can capture response of the GRs even though the adequacy varies among events. During calibration two GR1 (0.55 and 0.72) and three GR2 (0.73, 0.88 and 0.51) event-models yielded NSE>0.5. However, only parameter sets of two GR2 event-models yielded NSE>0.5 when applied to the validation events. Parameter sensitivity analysis exhibited significant correlation between conductivity slope and maximum precipitation intensity. The study shows potential of SWMM as a design tool if supplemented with a calibration algorithm and some adjustments to the LID module.

Keyphrases: Cold climates, Detention, green roof, LID, stormwater management model (SWMM)

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 1804--1813

Links:
BibTeX entry
@inproceedings{HIC2018:Modelling_Green_Roof_Detention,
  author    = {Ingrid Russwurm and Birgitte Gissvold Johannessen and Ashenafi Gragne and Jardar Lohne and Tone Merete Muthanna},
  title     = {Modelling Green Roof Detention Performance in Cold Climates},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  pages     = {1804--1813},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {https://easychair.org/publications/paper/qMMz},
  doi       = {10.29007/4rp8}}
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