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Article

Design and Simulation of Stormwater Control Measures Using Automated Modeling

1
Faculty of Civil and Geodetic Engineering, University of Ljubljana, 1000 Ljubljana, Slovenia
2
Department of Knowledge Technologies, Jožef Stefan Institute, 1000 Ljubljana, Slovenia
3
Faculty of Public Administration, University of Ljubljana, 1000 Ljubljana, Slovenia
*
Author to whom correspondence should be addressed.
Academic Editors: Francesco de Paola and Elena Bresci
Water 2021, 13(16), 2268; https://doi.org/10.3390/w13162268
Received: 14 July 2021 / Revised: 4 August 2021 / Accepted: 17 August 2021 / Published: 19 August 2021
(This article belongs to the Special Issue Advances of Low Impact Development Practices in Urban Watershed)
Stormwater control measures (SCMs) are decentralized technical elements, which can prevent the negative effects of uncontrolled stormwater flow while providing co-benefits. Optimal SCMs have to be selected and designed to achieve the desired hydrological response of an urban catchment. In this study, automated modeling and domain-specific knowledge in the fields of modeling rainfall-runoff (RR) and SCMs are applied to automate the process of optimal SCM design. A new knowledge library for modeling RR and SCMs, compliant with the equation discovery tool ProBMoT (Process-Based Modeling Tool), was developed. The proposed approach was used to (a) find the optimal RR model that best fits the available pipe flow measurements, and (b) to find the optimal SCMs design that best fits the target catchment outflow. The approach was applied to an urban catchment in the city of Ljubljana, Slovenia. First, nine RR models were created that generally had »very good« performance according to the Nash–Sutcliffe efficiency criteria. Second, six SCM scenarios (i.e., detention pond, storage tank, bio-retention cell, infiltration trench, rain garden, and green roof) were automatically designed and simulated, enabling the assessment of their ability to achieve the target outflow. The proposed approach enables the effective automation of two complex calibration tasks in the field of urban drainage. View Full-Text
Keywords: stormwater control measures; rainfall-runoff model; automated modeling; domain knowledge; equation discovery; process-based modeling stormwater control measures; rainfall-runoff model; automated modeling; domain knowledge; equation discovery; process-based modeling
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MDPI and ACS Style

Radinja, M.; Škerjanec, M.; Džeroski, S.; Todorovski, L.; Atanasova, N. Design and Simulation of Stormwater Control Measures Using Automated Modeling. Water 2021, 13, 2268. https://doi.org/10.3390/w13162268

AMA Style

Radinja M, Škerjanec M, Džeroski S, Todorovski L, Atanasova N. Design and Simulation of Stormwater Control Measures Using Automated Modeling. Water. 2021; 13(16):2268. https://doi.org/10.3390/w13162268

Chicago/Turabian Style

Radinja, Matej, Mateja Škerjanec, Sašo Džeroski, Ljupčo Todorovski, and Nataša Atanasova. 2021. "Design and Simulation of Stormwater Control Measures Using Automated Modeling" Water 13, no. 16: 2268. https://doi.org/10.3390/w13162268

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