Details
| Original language | English |
|---|---|
| Title of host publication | New Trends in Urban Drainage Modelling |
| Subtitle of host publication | UDM 2018 |
| Editors | Giorgio Mannina |
| Publisher | Springer Verlag |
| Pages | 576-581 |
| Number of pages | 6 |
| ISBN (print) | 9783319998664 |
| Publication status | Published - 1 Sept 2018 |
| Event | 11th International Conference on Urban Drainage Modelling, UDM 2018 - Palermo, Italy Duration: 23 Sept 2018 → 26 Sept 2018 |
Publication series
| Name | Green Energy and Technology |
|---|---|
| ISSN (Print) | 1865-3529 |
| ISSN (electronic) | 1865-3537 |
Abstract
In this paper a tool to automatically design drainage systems for urban districts is provided. Since pipe networks typically follow public streets, the drainage network is placed below the existing streets. The presented approach supplies a complete workflow in R, including an interface to hydraulic solvers implemented in the simulation software Stormwater Management Model. Algorithms to compute (1) subcatchments from land use data and (2) stormwater drainage networks from street polylines and topography are implemented. A test case, focussing on the stormwater drainage network on district scale, is setup. The stormwater network generator performs well for the small test case, however, some improvements on deriving the percentage of impervious surface cover have to be implemented. Further work includes the application to a more complex urban area, with pumps, combined sewer systems and multiple outfalls.
Keywords
- Artificial drainage networks, RapidEye satellite imagery, Urban water modelling
ASJC Scopus subject areas
- Energy(all)
- Renewable Energy, Sustainability and the Environment
- Energy(all)
- Energy Engineering and Power Technology
- Environmental Science(all)
- Management, Monitoring, Policy and Law
- Engineering(all)
- Industrial and Manufacturing Engineering
Sustainable Development Goals
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
New Trends in Urban Drainage Modelling: UDM 2018. ed. / Giorgio Mannina. Springer Verlag, 2018. p. 576-581 (Green Energy and Technology).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Generation of Stormwater Drainage Networks Using Spatial Data
AU - Döring, Anneke
AU - Neuweiler, Insa
N1 - Funding Information: Acknowledgements. The work was funded by MWK Lower Saxony Niedersächsisches Vorab as part of the collaborative project “METAPOLIS” (Grant No. ZN3121). We thank Michael Stro-hbach and Andreas Dahlkamp from the METAPOLIS-Team for processing RapidEye data (Rapi-dEye Science Archive Project-ID 00253). Funding Information: The work was funded by MWK Lower Saxony Nieders?chsisches Vorab as part of the collaborative project "METAPOLIS" (Grant No. ZN3121). We thank Michael Stro-hbach and Andreas Dahlkamp from the METAPOLIS-Team for processing RapidEye data (Rapi-dEye Science Archive Project-ID 00253). Publisher Copyright: © Springer Nature Switzerland AG 2019. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2018/9/1
Y1 - 2018/9/1
N2 - In this paper a tool to automatically design drainage systems for urban districts is provided. Since pipe networks typically follow public streets, the drainage network is placed below the existing streets. The presented approach supplies a complete workflow in R, including an interface to hydraulic solvers implemented in the simulation software Stormwater Management Model. Algorithms to compute (1) subcatchments from land use data and (2) stormwater drainage networks from street polylines and topography are implemented. A test case, focussing on the stormwater drainage network on district scale, is setup. The stormwater network generator performs well for the small test case, however, some improvements on deriving the percentage of impervious surface cover have to be implemented. Further work includes the application to a more complex urban area, with pumps, combined sewer systems and multiple outfalls.
AB - In this paper a tool to automatically design drainage systems for urban districts is provided. Since pipe networks typically follow public streets, the drainage network is placed below the existing streets. The presented approach supplies a complete workflow in R, including an interface to hydraulic solvers implemented in the simulation software Stormwater Management Model. Algorithms to compute (1) subcatchments from land use data and (2) stormwater drainage networks from street polylines and topography are implemented. A test case, focussing on the stormwater drainage network on district scale, is setup. The stormwater network generator performs well for the small test case, however, some improvements on deriving the percentage of impervious surface cover have to be implemented. Further work includes the application to a more complex urban area, with pumps, combined sewer systems and multiple outfalls.
KW - Artificial drainage networks
KW - RapidEye satellite imagery
KW - Urban water modelling
UR - http://www.scopus.com/inward/record.url?scp=85071604593&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-99867-1_99
DO - 10.1007/978-3-319-99867-1_99
M3 - Conference contribution
AN - SCOPUS:85071604593
SN - 9783319998664
T3 - Green Energy and Technology
SP - 576
EP - 581
BT - New Trends in Urban Drainage Modelling
A2 - Mannina, Giorgio
PB - Springer Verlag
T2 - 11th International Conference on Urban Drainage Modelling, UDM 2018
Y2 - 23 September 2018 through 26 September 2018
ER -