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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Automated Approach for Rainfall-Runoff Model Generation
verfasst von : Tero J. Niemi, Gerald Krebs, Teemu Kokkonen
Erschienen in: New Trends in Urban Drainage Modelling
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Abstract
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.