SWMManywhere: a workflow for generation and sensitivity analysis of synthetic urban drainage models, anywhere

Dobson, Barnaby ORCID: https://orcid.org/0000-0002-0149-4124; Jovanovic, Tijana; Alonso-Álvarez, Diego; Chegini, Taher. 2025 SWMManywhere: a workflow for generation and sensitivity analysis of synthetic urban drainage models, anywhere. Environmental Modelling & Software, 186, 106358. 10.1016/j.envsoft.2025.106358

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Official URL: https://doi.org/10.1016/j.envsoft.2025.106358

Abstract/Summary

Improvements in public geospatial datasets provide opportunities for deriving urban drainage networks and simulation models of these networks (UDMs). We present SWMManywhere, which leverages such datasets for generating synthetic UDMs and creating a Storm Water Management Model for any urban area globally. SWMManywhere’s modular and parameterised approach enables customisation to explore hydraulicly feasible network configurations. Key novelties of our workflow are in network topology derivation that accounts for combined effects of impervious area and pipe slope. We assess SWMManywhere by comparing pluvial flooding, drainage network outflows, and design with known networks. The results demonstrate high quality simulations are achievable with a synthetic approach even for large networks. Our sensitivity analysis shows that manholes locations, outfalls, and underlying street network are the most sensitive parameters. We find widespread sensitivity across all parameters without clearly defined values that they should take, thus, recommending an uncertainty driven approach to synthetic drainage network modelling.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1016/j.envsoft.2025.106358
ISSN:	13648152
Date made live:	19 Mar 2025 11:03 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/539095

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1016/j.envsoft.2025.106358

ISSN:

13648152

Date made live:

19 Mar 2025 11:03 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/539095