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DOI: https://doi.org/10.4491/eer.2021.125
Contribution of low impact development practices-bioretention systems towards urban flood resilience: case study of Novi Sad, Serbia
Amela Greksa1, Jasna Grabić1, and Boško Blagojević1,2
1Faculty of Agriculture, University of Novi Sad, Serbia
2Department of Forest Biomaterials and Technology, Swedish University of Agricultural Sciences, Sweden
Corresponding Author: Amela Greksa ,Tel: +38121-384-7720, Fax: +38121-455-713, Email: amela.greksa@gmail.com
Received: March 8, 2021;  Accepted: June 29, 2021.
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Bioretention systems are globally the most accepted Low Impact Development (LID) practices. In this study, we simulated bioretention performances for four locations in the city of Novi Sad, with RECARGA modelling software. The primary objective of the research was to evaluate potential of bioretention systems for runoff reduction. The second research objective was to suggest RECARGA model as a support for future decision-making processes. Analysis of the sensitivity of bioretention design parameters on bioretention performances, involved variations related to different sizes of bioretention systems, application of an underdrain, the difference in soil texture and changes in the depth of each individual bioretention layer. The total average volume of retained runoff by bioretention systems ranged from 43.33-93.84%, while some single simulation results were 100%. Among all tested design parameters, bioretention size and the native soil hydraulic conductivity have shown the greatest influence on the runoff reduction rate. This study provides information about the developing a site-specific bioretention solutions needed to prevent urban flooding in the area of research where this systems are still not sufficiently applied in practice. The obtained methodology can be applied for other locations and also it can be extended to another cities with similar urban flooding problems.
Keywords: Bioretention system | Hydrological performances | Low Impact Development (LID) | RECARGA | Simulated scenarios
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