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.
CITATION STYLE
Niemi, T. J., Krebs, G., & Kokkonen, T. (2019). Automated Approach for Rainfall-Runoff Model Generation. In Green Energy and Technology (pp. 597–602). Springer Verlag. https://doi.org/10.1007/978-3-319-99867-1_103
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