Automated Approach for Rainfall-Runoff Model Generation

Tero J. Niemi, Gerald Krebs, Teemu Kokkonen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Manually constructing hydrological model descriptions for urban areas tends to be laborious due to the detailed mosaic land cover and the required high-resolution model setup. Here, the performance of a novel automated subcatchment generator with a detailed DEM-based surface flow routing is assessed against observations and manually constructed models. In general, the auto-generated models perform well against observations and comparably to manually constructed models regardless of the detail of land cover information input. The introduced inter-subcatchment connections may require previously acquired model parameters to be re-calibrated. This is due to the calibrated parameters in manually constructed models, even with high-resolution landuse, partly compensating for missing flow routes due to the larger scale used in subcatchment description.
Original languageEnglish
Title of host publicationNew Trends in Urban Drainage Modelling
Subtitle of host publicationUDM 2018
EditorsGiorgio Mannina
ISBN (Electronic)978-3-319-99867-1
Publication statusPublished - 2019
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Urban Drainage Modelling - Palermo, Italy
Duration: 23 Sep 201826 Sep 2018
Conference number: 11

Publication series

NameGreen Energy and Technology
ISSN (Print)1865-3529
ISSN (Electronic)1865-3537


ConferenceInternational Conference on Urban Drainage Modelling
Abbreviated titleUDM


  • SWMM
  • Flow routing
  • Urban hydrological modelling


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