Optimum numbering and sizing of infiltration-based water sensitive urban design technologies in South Australia
The existing drainage systems consider storm water as a waste product and its main focus is on collecting the runoff from urban catchments as quickly as possible and discharging it into the nearby outlets. These traditional drainage systems cannot consider important utilisation of storm water. There...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2021-01-01
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Series: | International Journal of Sustainable Engineering |
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Online Access: | http://dx.doi.org/10.1080/19397038.2020.1733131 |
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author | Faisal Ahammed George Rohita Sara Hii Paul Kai Li Yan |
author_facet | Faisal Ahammed George Rohita Sara Hii Paul Kai Li Yan |
author_sort | Faisal Ahammed |
collection | DOAJ |
description | The existing drainage systems consider storm water as a waste product and its main focus is on collecting the runoff from urban catchments as quickly as possible and discharging it into the nearby outlets. These traditional drainage systems cannot consider important utilisation of storm water. Therefore, a decentralised storm water management option, known as, Water Sensitive Urban Design (WSUD) technologies, can be implemented in the urban catchments to minimise the negative hydrological impacts due to urbanisation. Hydraulic designs of three different types of infiltration-based WSUD technologies (leaky wells, soakaways and infiltration trenches) were designed for South Australian contexts. Modelling equations to estimate optimum numbering of infiltration systems were developed using SPSS and six different independent variables, such as soil hydraulic conductivity, size of the device, average recurrence interval of rainfall events, critical storm duration, rainfall intensity and roof size, were considered. The developed modelling equations were statistically significant and were applied in the real-case scenarios of South Australian catchments. |
first_indexed | 2024-03-11T22:57:38Z |
format | Article |
id | doaj.art-8821c00af19444a1aeb7c0a0b7fbc796 |
institution | Directory Open Access Journal |
issn | 1939-7038 1939-7046 |
language | English |
last_indexed | 2024-03-11T22:57:38Z |
publishDate | 2021-01-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | International Journal of Sustainable Engineering |
spelling | doaj.art-8821c00af19444a1aeb7c0a0b7fbc7962023-09-21T15:17:03ZengTaylor & Francis GroupInternational Journal of Sustainable Engineering1939-70381939-70462021-01-01141798610.1080/19397038.2020.17331311733131Optimum numbering and sizing of infiltration-based water sensitive urban design technologies in South AustraliaFaisal Ahammed0George Rohita Sara1Hii Paul Kai2Li Yan3University of South AustraliaUniversity of South AustraliaUniversity of South AustraliaUniversity of South AustraliaThe existing drainage systems consider storm water as a waste product and its main focus is on collecting the runoff from urban catchments as quickly as possible and discharging it into the nearby outlets. These traditional drainage systems cannot consider important utilisation of storm water. Therefore, a decentralised storm water management option, known as, Water Sensitive Urban Design (WSUD) technologies, can be implemented in the urban catchments to minimise the negative hydrological impacts due to urbanisation. Hydraulic designs of three different types of infiltration-based WSUD technologies (leaky wells, soakaways and infiltration trenches) were designed for South Australian contexts. Modelling equations to estimate optimum numbering of infiltration systems were developed using SPSS and six different independent variables, such as soil hydraulic conductivity, size of the device, average recurrence interval of rainfall events, critical storm duration, rainfall intensity and roof size, were considered. The developed modelling equations were statistically significant and were applied in the real-case scenarios of South Australian catchments.http://dx.doi.org/10.1080/19397038.2020.1733131storm water managementinfiltration systemsmodelling equationsregression analysis |
spellingShingle | Faisal Ahammed George Rohita Sara Hii Paul Kai Li Yan Optimum numbering and sizing of infiltration-based water sensitive urban design technologies in South Australia International Journal of Sustainable Engineering storm water management infiltration systems modelling equations regression analysis |
title | Optimum numbering and sizing of infiltration-based water sensitive urban design technologies in South Australia |
title_full | Optimum numbering and sizing of infiltration-based water sensitive urban design technologies in South Australia |
title_fullStr | Optimum numbering and sizing of infiltration-based water sensitive urban design technologies in South Australia |
title_full_unstemmed | Optimum numbering and sizing of infiltration-based water sensitive urban design technologies in South Australia |
title_short | Optimum numbering and sizing of infiltration-based water sensitive urban design technologies in South Australia |
title_sort | optimum numbering and sizing of infiltration based water sensitive urban design technologies in south australia |
topic | storm water management infiltration systems modelling equations regression analysis |
url | http://dx.doi.org/10.1080/19397038.2020.1733131 |
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