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.
|Title of host publication||New Trends in Urban Drainage Modelling, UDM 2018|
|Subtitle of host publication||Green Energy and Technology|
|Publication status||Published - 2018|
Niemi, T. J., Krebs, G., & Kokkonen, T. (2018). Automated Approach for Rainfall-Runoff Model Generation. In G. Mannina (Ed.), New Trends in Urban Drainage Modelling, UDM 2018: Green Energy and Technology (pp. 597-602). Springer. https://doi.org/10.1007/978-3-319-99867-1_103