https://doi.org/10.25678/0000JJ

Data for: A simplified sanitary sewer system generator for exploratory modelling at city-scale

Future climatic, demographic, technological, urban and socio-economic challenges call for more flexible and sustainable wastewater infrastructure systems. Exploratory modelling can help to investigate the consequences of these developments on the infrastructure. In order to explore large numbers of adaptation strategies, we need to re-balance the degree of realism of sewer network and ability to reflect key performance characteristics against the model's parsimony and computational efficiency. We present a spatially explicit algorithm for creating sanitary sewer networks that realistically represent key characteristics of a real system. Basic topographic, demographic and urban characteristics are abstracted into a squared grid of ‘Blocks’ which are the foundation for the sewer network's topology delineation. We compare three different pipe dimensioning approaches and found a good balance between detail and computational efficiency. With a basic hydraulic performance assessment, we demonstrate that we attain a computationally efficient and high-fidelity wastewater sewer network with adequate hydraulic performance. A spatial resolution of 250 m Block size in combination with a sequential Pipe-by-Pipe (PBP) design algorithm provides a sound trade-off between computational time and fidelity of relevant structural and hydraulic properties for exploratory modelling. We can generate a simplified sewer network (both topology and hydraulic design) in 18 s using PBP, versus 36 min using a highly detailed model or 1 s using a highly abstract model. Moreover, this simplification can cut up to 1/10th to 1/50th the computational time for the hydraulic simulations depending on the routing method implemented. We anticipate our model to be a starting point for sophisticated exploratory modelling into possible infrastructure adaptation measures of topological and loading changes of sewer systems for long-term planning.

Data and Resources

Citation

This Data Package

Duque Villarreal, N., Bach, P. M., Scholten, L., Fappiano, F., & Maurer, M. (2021). Data for: A simplified sanitary sewer system generator for exploratory modelling at city-scale (Version 1.0). Eawag: Swiss Federal Institute of Aquatic Science and Technology. https://doi.org/10.25678/0000JJ

The associated article

Duque, N., Bach, P. M., Scholten, L., Fappiano, F., & Maurer, M. (2022). A Simplified Sanitary Sewer System Generator for Exploratory Modelling at City-Scale. Water Research, 209, 117903. https://doi.org/10.1016/j.watres.2021.117903

Metadata

Open Data Open Data
Long-term data Long-term data
Author
  • Duque Villarreal, Natalia
  • Bach, Peter M.
  • Scholten, Lisa
  • Fappiano, Fabrizia
  • Maurer, Max
Keywords Algorithmic network generation,Wastewater infrastructure,Foul sewer system modelling,Network topology,Geographic information systems
Systems
  • decentralised wastewater systems
  • foul sewer system
  • urban drainage
Timerange
  • 2019-05 TO 2021-08
Geographic Name(s)
  • (downtown) Melbourne, Australia
Review Level domain specific
Curator Maurer, Max
Contact Maurer, Max <max.maurer@eawag.ch>
DOI 10.25678/0000JJ