Extended Evaluation of the Impact of Rainfall, Sewer Network and Land Use Retention on Drainage System Performance in a Multi-Criteria Approach – Modeling, Sensitivity Analysis

• Autorzy: Szeląg Bartosz , Fatone Francesco , Kiczko Adam , Majerek Dariusz , Białek Anita , Łagód Grzegorz , Piotrowicz Adam , Dąbek Lidia

Identyfikatory

DOI

10.12913/22998624/192023

• Języki publikacji: EN

Abstrakty

EN

An extensive methodology for analyzing the impact of catchment and sewer network retention on drainage system operating conditions during hydraulic overloading is presented. To evaluate the performance of the sewer system and identify the need for repair actions, logistic regression models were developed to predict the unit flooding volume and manhole overflowing. An advanced sensitivity analysis was performed to determine the key parameters (retention and roughness of impervious and pervious areas as well as sewer channel retention) conditioning the reduction of uncertainty in the simulation results and ensuring the assumed hydraulic effect. A coefficient expressing the quotient of the duration of rainfall conditioning the exceedance of the limits of the unit flooding volume (13 m3·ha−1) as well as the degree of overflowed manholes (0.32) was determined, allowing the determination of the key performance criterion of the sewer network to take corrective action depending on field and channel retention. It was shown that the catchment area retention had the key influence on the conditions of sewer operation and the probability of remedial work. Increasing the rainfall duration led to a decrease in sensitivity coefficients with respect to the identified parameters of the SWMM model, which is important when selecting rainfall events for the calibration and validation sets. The usefulness of the developed methodology was demonstrated at the stage of building mechanistic models, which is of significance when planning field studies.

Słowa kluczowe

EN

stormwater system; environmental impact; multi-criteria approach; modelling; SWMM; GLUE; sensitivity analysis; generalized likelihood uncertainty estimation; storm water management model

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2024
• Tom: Vol. 18, no 6
• Strony: 291--303
• Opis fizyczny: Bibliogr. 49 poz., fig., tab.

Twórcy

autor

Szeląg Bartosz

• Department of Hydraulic and Sanitary Engineering, Warsaw University of Life Sciences, ul. Nowoursynowska 166, 02-787, Warsaw, Poland

• https://orcid.org/0000-0002-0559-5475

autor

Fatone Francesco

• Department of Science and Engineering of Materials, Polytechnic University of Marche Ancona, Ancona 60121, Italy

autor

Kiczko Adam

• Department of Hydraulic and Sanitary Engineering, Warsaw University of Life Sciences, ul. Nowoursynowska 166, 02-787, Warsaw, Poland

autor

Majerek Dariusz

• Department of Applied Mathematics, Lublin University of Technology, ul. Nadbystrzycka 38, 20-618 Lublin, Poland

autor

Białek Anita

• Faculty of Environmental Engineering, Geomatics and Renewable Energy, Kielce University of Technology, al. Tysiąclecia Państwa Polskiego 7, 25-314, Kielce, Poland

autor

Łagód Grzegorz

• Department of Water Supply and Wastewater Disposal, Lublin University of Technology, ul. Nadbystrzycka 40B, 20-618 Lublin, Poland

autor

Piotrowicz Adam

• Department of Environmental Protection Engineering, Lublin University of Technology, ul. Nadbystrzycka 40B, 20-618 Lublin, Poland

autor

Dąbek Lidia

• Faculty of Environmental Engineering, Geomatics and Renewable Energy, Kielce University of Technology, al. Tysiąclecia Państwa Polskiego 7, 25-314, Kielce, Poland

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