Application of logistic regression to simulate the influence of rainfall genesis on storm overflow operations: a probabilistic approach
One of the key parameters constituting the basis for the operational assessment of stormwater systems is the annual number of storm overflows. Since uncontrolled overflows are a source of pollution washed away from the surface of the catchment area, which leads to imbalanced receiving waters, there...
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Published in: | Hydrology and earth system sciences Vol. 24; no. 2; pp. 595 - 614 |
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Main Authors: | , , , |
Format: | Journal Article |
Language: | English |
Published: |
Katlenburg-Lindau
Copernicus GmbH
12-02-2020
Copernicus Publications |
Subjects: | |
Online Access: | Get full text |
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Summary: | One of the key parameters constituting the basis for the operational assessment of stormwater systems is the annual number of storm overflows. Since uncontrolled overflows are a source of pollution washed away from the surface of the catchment area, which leads to imbalanced receiving waters, there is a need for their prognosis and potential reduction. The paper presents a probabilistic model for simulating the annual number of storm overflows. In this model, an innovative solution is to use the logistic regression method to analyze the impact of rainfall genesis on the functioning of a storm overflow (OV) in the example of a catchment located in the city of Kielce (central Poland). |
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ISSN: | 1607-7938 1027-5606 1607-7938 |
DOI: | 10.5194/hess-24-595-2020 |