Articles | Volume 24, issue 2
https://doi.org/10.5194/hess-24-595-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-595-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Application of logistic regression to simulate the influence of rainfall genesis on storm overflow operations: a probabilistic approach
Bartosz Szeląg
CORRESPONDING AUTHOR
Department of Geotechnics and Water Engineering, Kielce University
of Technology, 25-314 Kielce, Poland
Roman Suligowski
Department of Hydrology and Geo-Information, Jan Kochanowski
University, 25-406 Kielce, Poland
Jan Studziński
Centre for Computer Science Applications in Environmental
Engineering, Systems Research Institute, Polish Academy of Sciences, 01-447 Warsaw, Poland
Francesco De Paola
Department of Civil, Architectural and Environmental Engineering,
University of Naples Federico II, via Claudio 21, Naples 80125, Italy
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A sensitivity analysis based on a simulator of hydrograph parameters (volume, maximum flow) is shown. The method allows us to analyze the impact of calibrated hydrodynamic model parameters, including rainfall distribution and intensity, on the hydrograph. A sensitivity coefficient and the effect of the simulator uncertainty on calculation results are presented. This approach can be used to select hydrographs for calibration and validation of models, which has not been taken into account so far.
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Short summary
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A sensitivity analysis based on a simulator of hydrograph parameters (volume, maximum flow) is shown. The method allows us to analyze the impact of calibrated hydrodynamic model parameters, including rainfall distribution and intensity, on the hydrograph. A sensitivity coefficient and the effect of the simulator uncertainty on calculation results are presented. This approach can be used to select hydrographs for calibration and validation of models, which has not been taken into account so far.
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A new methodology is proposed in this paper, focusing on improving the applicability of the operational weather radar data to urban hydrology with rain gauge data. The proposed methodology employed a simple yet effective technique to extract additional information (called local singularity structure) from radar data, which was generally ignored in related works. The associated improvement can be particularly seen in capturing storm peak magnitudes, which is critical for urban applications.
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Short summary
A method for linking releases of a storm overflow with the precipitation-forming mechanism, depending on air circulation, was presented. The logit model was used to simulate overflow releases, and a rainfall generator accounting for a forming mechanism was used for forecasting. It was found that the logit model is universal and can be applied to a catchment with diverse geographical characteristics and that the precipitation-forming mechanism has an impact on the operation of the storm overflow.
A method for linking releases of a storm overflow with the precipitation-forming mechanism,...