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 | 701-705 |
| Number of pages | 5 |
| 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
The EVUS project (www.pluvialfloods.uni-hannover.de ) has developed a concept for a real time forecasting system for urban flood damages. During heavy rainfall events the capacity of urban drainage systems can be exceeded, resulting in complex flow interactions between surface and pipe system via manholes and street inlets. The flow patterns of accidently spilled hazardous substances can be quite complex. In this study, we implemented a particle based transport model for fast prediction of travel paths of contaminants after a spill during a flash flood. The model calculates mixing and dispersion in the pipe system and on the surface by using a random-walk approach. It is applied to an urban catchment of 5 km2. Influence of pipe to surface coupling due to the additional transport paths is demonstrated. The model is based on pre-calculated flow fields and can forecast potential contaminated areas within less than one minute.
Keywords
- Particle model, Real time prediction, Solute transport
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
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New Trends in Urban Drainage Modelling: UDM 2018. ed. / Giorgio Mannina. Springer Verlag, 2018. p. 701-705 (Green Energy and Technology).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Forecasting Pollution Transport in Drainage Water
AU - Sämann, Robert
AU - Neuweiler, Insa
AU - Graf, Thomas
N1 - Funding information: Acknowledgement. This work is part of the EVUS Project within the GEOTECHNOLOGIEN framework funded by the Federal Ministry of Education and Research – BMBF, Germany. (project # 03G0846A)
PY - 2018/9/1
Y1 - 2018/9/1
N2 - The EVUS project (www.pluvialfloods.uni-hannover.de ) has developed a concept for a real time forecasting system for urban flood damages. During heavy rainfall events the capacity of urban drainage systems can be exceeded, resulting in complex flow interactions between surface and pipe system via manholes and street inlets. The flow patterns of accidently spilled hazardous substances can be quite complex. In this study, we implemented a particle based transport model for fast prediction of travel paths of contaminants after a spill during a flash flood. The model calculates mixing and dispersion in the pipe system and on the surface by using a random-walk approach. It is applied to an urban catchment of 5 km2. Influence of pipe to surface coupling due to the additional transport paths is demonstrated. The model is based on pre-calculated flow fields and can forecast potential contaminated areas within less than one minute.
AB - The EVUS project (www.pluvialfloods.uni-hannover.de ) has developed a concept for a real time forecasting system for urban flood damages. During heavy rainfall events the capacity of urban drainage systems can be exceeded, resulting in complex flow interactions between surface and pipe system via manholes and street inlets. The flow patterns of accidently spilled hazardous substances can be quite complex. In this study, we implemented a particle based transport model for fast prediction of travel paths of contaminants after a spill during a flash flood. The model calculates mixing and dispersion in the pipe system and on the surface by using a random-walk approach. It is applied to an urban catchment of 5 km2. Influence of pipe to surface coupling due to the additional transport paths is demonstrated. The model is based on pre-calculated flow fields and can forecast potential contaminated areas within less than one minute.
KW - Particle model
KW - Real time prediction
KW - Solute transport
UR - http://www.scopus.com/inward/record.url?scp=85071590677&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-99867-1_121
DO - 10.1007/978-3-319-99867-1_121
M3 - Conference contribution
AN - SCOPUS:85071590677
SN - 9783319998664
T3 - Green Energy and Technology
SP - 701
EP - 705
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 -