Design and simulation of stormwater control measures using automated modeling

Radinja, Matej (author), Škerjanec, Mateja (author), Džeroski, Sašo (author), Todorovski, Ljupčo (author), Atanasova, Nataša (author)

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.

• Language: English
• Keywords: stormwater control measures, rainfall-runoff model, automated modeling, domain knowledge, equation discovery, process-based modeling
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FGG - Faculty of Civil and Geodetic Engineering; FU - Faculty of Administration
• Publication status: Published
• Publication version: Version of Record
• Year: 2021
• Number of pages: 26 str.
• Numbering: Vol. 13, iss. 16, art. 2268
• PID: 20.500.12556/RUL-131838
• UDC: 004:626/627
• ISSN on article: 2073-4441
• DOI: 10.3390/w13162268
• COBISS.SI-ID: 73739779
• Publication date in RUL: 04.10.2021

Record is a part of a journal

• Title: Water
• Shortened title: Water
• Publisher: Molecular Diversity Preservation International - MDPI
• ISSN: 2073-4441
• COBISS.SI-ID: 36731653

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
• Licensing start date: 19.08.2021

Secondary language

• Language: Slovenian
• Keywords: ukrepi za obvladovanje padavinskih voda, model površinskega odtoka, avtomatizirano modeliranje, domensko znanje, odkrivanje enačb, procesno bazirani modeli