Application of Multinomial Logistic Regression to Model the Impact of Rainfall Genesis on the Performance of Storm Overflows: Case Study

Bartosz Szeląg, Roman Suligowski, Grzegorz Majewski (), Przemysław Kowal, Adrian Bralewski, Karolina Bralewska, Ewa Anioł, Wioletta Rogula-Kozłowska and Francesco Paola
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Bartosz Szeląg: Kielce University of Technology
Roman Suligowski: Jan Kochanowski University
Grzegorz Majewski: Warsaw University of Life of Sciences
Przemysław Kowal: Gdańsk University of Technology
Adrian Bralewski: The Main School of Fire Service
Karolina Bralewska: The Main School of Fire Service
Ewa Anioł: Warsaw University of Life of Sciences
Wioletta Rogula-Kozłowska: The Main School of Fire Service
Francesco Paola: University of Naples Federico II

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2022, vol. 36, issue 10, No 16, 3699-3714

Abstract: Abstract In this study, a mathematical model was proposed to analyze the performance of storm overflows. The model included the influence of rainfall genesis on the duration of storm overflow, its volume, and the maximum instantaneous flow. The multinomial logistic regression model, which has not been used so far to model objects located in a stormwater system, was proposed to simulate the duration of storm overflow. The Iman–Conover method, using the theoretical cumulative distributions determined on the basis of 45 – year rainfall sequences, was adopted to simulate the rainfall characteristics describing the overflow performance (total and maximum 30-min rainfall depth and duration). The simulations showed a significant impact of rainfall genesis on the parameters of the storm overflow. The model and the results presented in this study can be used at the stage of dimensioning storm overflows and to create an early warning system against undesirable phenomena in the stormwater system within urban catchments.

Keywords: Storm overflow; Multinomial logistic regression; Rainfall genesis; Iman–conover method (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11269-022-03223-z

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