Modelling the Role of SuDS Management Trains in Minimising Flood Risk, Using MicroDrainage
This novel research models the impact that commonly used sustainable drainage systems (SuDS) have on runoff, and compare this to their land take. As land take is consistently cited as a key barrier to the wider implementation of SuDS, it is essential to understand the possible runoff reduction in re...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-09-01
|
| Series: | Water |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4441/12/9/2559 |
| _version_ | 1797553785278562304 |
|---|---|
| author | Craig Lashford Susanne Charlesworth Frank Warwick Matthew Blackett |
| author_facet | Craig Lashford Susanne Charlesworth Frank Warwick Matthew Blackett |
| author_sort | Craig Lashford |
| collection | DOAJ |
| description | This novel research models the impact that commonly used sustainable drainage systems (SuDS) have on runoff, and compare this to their land take. As land take is consistently cited as a key barrier to the wider implementation of SuDS, it is essential to understand the possible runoff reduction in relation to the area they take up. SuDS management trains consisting of different combinations of detention basins, green roofs, porous pavement and swales were designed in MicroDrainage. In this study, this is modelled against the 1% Annual Exceedance Potential storm (over 30, 60, 90, 120, 360 and 720 min, under different infiltration scenarios), to determine the possible runoff reduction of each device. Detention basins were consistently the most effective regarding maximum runoff reduction for the land they take (0.419 L/s/m<sup>2</sup>), with porous pavement the second most effective, achieving 0.145 L/s/m<sup>2</sup>. As both green roofs (20.34%) and porous pavement (6.76%) account for land that would traditionally be impermeable, there is no net-loss of land compared to a traditional drainage approach. Consequently, although the modelled SuDS management train accounts for 34.86% of the total site, just 7.76% of the land is lost to SuDS, whilst managing flooding for all modelled rainfall and infiltration scenarios. |
| first_indexed | 2024-03-10T16:21:35Z |
| format | Article |
| id | doaj.art-789d0b86a6d245cc9bfe8c75fad5cc5f |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T16:21:35Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-789d0b86a6d245cc9bfe8c75fad5cc5f2023-11-20T13:34:59ZengMDPI AGWater2073-44412020-09-01129255910.3390/w12092559Modelling the Role of SuDS Management Trains in Minimising Flood Risk, Using MicroDrainageCraig Lashford0Susanne Charlesworth1Frank Warwick2Matthew Blackett3Centre for Agroecology, Water & Resilience, Coventry University, Coventry CV1 5FB, UKCentre for Agroecology, Water & Resilience, Coventry University, Coventry CV1 5FB, UKSchool of Energy, Construction & Environment, Coventry University, Coventry CV1 5FB, UKCentre for Agroecology, Water & Resilience, Coventry University, Coventry CV1 5FB, UKThis novel research models the impact that commonly used sustainable drainage systems (SuDS) have on runoff, and compare this to their land take. As land take is consistently cited as a key barrier to the wider implementation of SuDS, it is essential to understand the possible runoff reduction in relation to the area they take up. SuDS management trains consisting of different combinations of detention basins, green roofs, porous pavement and swales were designed in MicroDrainage. In this study, this is modelled against the 1% Annual Exceedance Potential storm (over 30, 60, 90, 120, 360 and 720 min, under different infiltration scenarios), to determine the possible runoff reduction of each device. Detention basins were consistently the most effective regarding maximum runoff reduction for the land they take (0.419 L/s/m<sup>2</sup>), with porous pavement the second most effective, achieving 0.145 L/s/m<sup>2</sup>. As both green roofs (20.34%) and porous pavement (6.76%) account for land that would traditionally be impermeable, there is no net-loss of land compared to a traditional drainage approach. Consequently, although the modelled SuDS management train accounts for 34.86% of the total site, just 7.76% of the land is lost to SuDS, whilst managing flooding for all modelled rainfall and infiltration scenarios.https://www.mdpi.com/2073-4441/12/9/2559detention basinsgreen roofsMicroDrainageporous pavementrunoff reductionswales |
| spellingShingle | Craig Lashford Susanne Charlesworth Frank Warwick Matthew Blackett Modelling the Role of SuDS Management Trains in Minimising Flood Risk, Using MicroDrainage Water detention basins green roofs MicroDrainage porous pavement runoff reduction swales |
| title | Modelling the Role of SuDS Management Trains in Minimising Flood Risk, Using MicroDrainage |
| title_full | Modelling the Role of SuDS Management Trains in Minimising Flood Risk, Using MicroDrainage |
| title_fullStr | Modelling the Role of SuDS Management Trains in Minimising Flood Risk, Using MicroDrainage |
| title_full_unstemmed | Modelling the Role of SuDS Management Trains in Minimising Flood Risk, Using MicroDrainage |
| title_short | Modelling the Role of SuDS Management Trains in Minimising Flood Risk, Using MicroDrainage |
| title_sort | modelling the role of suds management trains in minimising flood risk using microdrainage |
| topic | detention basins green roofs MicroDrainage porous pavement runoff reduction swales |
| url | https://www.mdpi.com/2073-4441/12/9/2559 |
| work_keys_str_mv | AT craiglashford modellingtheroleofsudsmanagementtrainsinminimisingfloodriskusingmicrodrainage AT susannecharlesworth modellingtheroleofsudsmanagementtrainsinminimisingfloodriskusingmicrodrainage AT frankwarwick modellingtheroleofsudsmanagementtrainsinminimisingfloodriskusingmicrodrainage AT matthewblackett modellingtheroleofsudsmanagementtrainsinminimisingfloodriskusingmicrodrainage |