A parsimonius model of the stochasticity of combined sewer overflows reveals contributions of network structure and rainfall variability

  • Gavan McGrath (Creator)
  • Thomas Kaesberg (Creator)
  • Julian David Reyes Silva (Creator)

Dataset

Description

These files are StormWater Management Model (SWMM) input and output files analysed as part of this paper. These files were generated by Thomas Kaesberg and Julian David Reyes Silva of Technical University Dresden. Rainfall data was supplied by Stadtentwaesserung Dresden.
Date made available5 Oct 2018
PublisherThe University of Western Australia
Geospatial point51.003016,13.839435

Keywords

  • combined sewer
  • model
  • SWMM
  • stochastic
  • stormwater
  • ammonia
  • urban waster water treatment
  • water quality
  • 090702 Environmental Engineering Modelling

Cite this

McGrath, G. (Creator), Kaesberg, T. (Creator), David Reyes Silva, J. (Creator)(5 Oct 2018). A parsimonius model of the stochasticity of combined sewer overflows reveals contributions of network structure and rainfall variability. The University of Western Australia. Q_junction_CSO(.csv), NH4_junction_CSO(.csv), Rain(.mat), flow_sim(.mat), conc_sim(.mat), Rain(.csv). 10.26182/5bbbff6fadf94