Design and simulation of stormwater control measures using automated modeling

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

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.

• Jezik: Angleški jezik
• Ključne besede: stormwater control measures, rainfall-runoff model, automated modeling, domain knowledge, equation discovery, process-based modeling
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FGG - Fakulteta za gradbeništvo in geodezijo ; FU - Fakulteta za upravo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2021
• Št. strani: 26 str.
• Številčenje: Vol. 13, iss. 16, art. 2268
• PID: 20.500.12556/RUL-131838
• UDK: 004:626/627
• ISSN pri članku: 2073-4441
• DOI: 10.3390/w13162268
• COBISS.SI-ID: 73739779
• Datum objave v RUL: 04.10.2021

Gradivo je del revije

• Naslov: Water
• Skrajšan naslov: Water
• Založnik: Molecular Diversity Preservation International - MDPI
• ISSN: 2073-4441
• COBISS.SI-ID: 36731653

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
• Začetek licenciranja: 19.08.2021

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: ukrepi za obvladovanje padavinskih voda, model površinskega odtoka, avtomatizirano modeliranje, domensko znanje, odkrivanje enačb, procesno bazirani modeli