Preliminary modelling of hydrological performance for green roof drainage layer using response surface methodology

Response Surface Methodology modelling is used in this study to investigate experimental result for waterproofing and drainage layers with slope ranging from 0% to 6% test beds with three types layers of drainage, rubber crumbs, oil palm shells and polyform. The aim of this study is to determine the...

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Main Authors: Salinah Dullah, Hidayati Asrah, Movierawanna Bernard, Jane Ann Jumi
Format: Article
Language:English
English
Published: Penerbit Akademia Baru 2024
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/42077/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/42077/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/42077/
https://doi.org/10.37934/araset.55.1.105124
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spelling my.ums.eprints.420772024-11-29T04:35:47Z https://eprints.ums.edu.my/id/eprint/42077/ Preliminary modelling of hydrological performance for green roof drainage layer using response surface methodology Salinah Dullah Hidayati Asrah Movierawanna Bernard Jane Ann Jumi GB651-2998 Hydrology. Water TH2025-3000 Details in building design and construction Including walls, roofs Response Surface Methodology modelling is used in this study to investigate experimental result for waterproofing and drainage layers with slope ranging from 0% to 6% test beds with three types layers of drainage, rubber crumbs, oil palm shells and polyform. The aim of this study is to determine the accuracy and effectiveness of RSM through investigating the hydrological performance of green roofs. Nine sets of experimental data were used to analyse, and the input parameters include type of material drainage layer, slopes, and water absorption of the materials. The output variables were hydrograph and peak runoff, peak attenuation, and water retention for each material. It was proven that the mathematical equations developed by the RSM model can predict the output response, with ANOVA analysis being used to determine the level of significant effect of the input parameters on the green roof hydrological performance. RSM model's 2D contour plot and 3D surface plot expecting to revealed slope and water absorption. This modelling showed significant effect on peak runoff, peak attenuation, and water retention. It is proven that the RSM can be used to investigate various factors affecting green roof hydrological performance. Penerbit Akademia Baru 2024 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/42077/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/42077/2/FULL%20TEXT.pdf Salinah Dullah and Hidayati Asrah and Movierawanna Bernard and Jane Ann Jumi (2024) Preliminary modelling of hydrological performance for green roof drainage layer using response surface methodology. Journal of Advanced Research in Applied Sciences and Engineering Technology, 55. pp. 1-20. ISSN 2462-1943 https://doi.org/10.37934/araset.55.1.105124
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic GB651-2998 Hydrology. Water
TH2025-3000 Details in building design and construction Including walls, roofs
spellingShingle GB651-2998 Hydrology. Water
TH2025-3000 Details in building design and construction Including walls, roofs
Salinah Dullah
Hidayati Asrah
Movierawanna Bernard
Jane Ann Jumi
Preliminary modelling of hydrological performance for green roof drainage layer using response surface methodology
description Response Surface Methodology modelling is used in this study to investigate experimental result for waterproofing and drainage layers with slope ranging from 0% to 6% test beds with three types layers of drainage, rubber crumbs, oil palm shells and polyform. The aim of this study is to determine the accuracy and effectiveness of RSM through investigating the hydrological performance of green roofs. Nine sets of experimental data were used to analyse, and the input parameters include type of material drainage layer, slopes, and water absorption of the materials. The output variables were hydrograph and peak runoff, peak attenuation, and water retention for each material. It was proven that the mathematical equations developed by the RSM model can predict the output response, with ANOVA analysis being used to determine the level of significant effect of the input parameters on the green roof hydrological performance. RSM model's 2D contour plot and 3D surface plot expecting to revealed slope and water absorption. This modelling showed significant effect on peak runoff, peak attenuation, and water retention. It is proven that the RSM can be used to investigate various factors affecting green roof hydrological performance.
format Article
author Salinah Dullah
Hidayati Asrah
Movierawanna Bernard
Jane Ann Jumi
author_facet Salinah Dullah
Hidayati Asrah
Movierawanna Bernard
Jane Ann Jumi
author_sort Salinah Dullah
title Preliminary modelling of hydrological performance for green roof drainage layer using response surface methodology
title_short Preliminary modelling of hydrological performance for green roof drainage layer using response surface methodology
title_full Preliminary modelling of hydrological performance for green roof drainage layer using response surface methodology
title_fullStr Preliminary modelling of hydrological performance for green roof drainage layer using response surface methodology
title_full_unstemmed Preliminary modelling of hydrological performance for green roof drainage layer using response surface methodology
title_sort preliminary modelling of hydrological performance for green roof drainage layer using response surface methodology
publisher Penerbit Akademia Baru
publishDate 2024
url https://eprints.ums.edu.my/id/eprint/42077/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/42077/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/42077/
https://doi.org/10.37934/araset.55.1.105124
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score 13.223943