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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)

URLURL - Source URL, Visit https://www.mdpi.com/2073-4441/13/16/2268/htm This link opens in a new window
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Abstract
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 (dk_c)
Tipology:1.01 - Original Scientific Article
Organization:FGG - Faculty of Civil and Geodetic Engineering
Year:2021
Submitted for review:14.07.2021
Article acceptance date:17.08.2021
Article publication date:19.08.2021
Number of pages:26 str.
Numbering:Vol. 13, no. 16, iss. 2268
UDC:004:626/627
ISSN on article:2073-4441
DOI:10.3390/w13162268 This link opens in a new window
COBISS.SI-ID:73739779 This link opens in a new window
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Downloads:6
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Record is a part of a journal

Title:Water
Shortened title:Water
Publisher:MDPI
ISSN:2073-4441
COBISS.SI-ID:36731653 This link opens in a new window

Document is financed by a project

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije (ARRS)
Project no.:P2-0180
Name:Vodarstvo in geotehnika: orodja in metode za analize in simulacije procesov ter razvoj tehnologij

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije (ARRS)
Project no.:P2-0103
Name:Tehnologije znanja

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije (ARRS)
Project no.:P5-0093
Name:Razvoj sistema učinkovite in uspešne javne uprave

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije (ARRS)
Project no.:N2-0128
Name:Avtomatizirana sinteza in analiza znanstvenih modelov

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

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