Uso do software SWMM para avaliação da influência de dispositivos LID nas vazões de águas pluviais geradas no estacionamento da UTFPR Ecoville

• Main Author: Welzel, Carolina Cassiano
• Publication Date: 2021
• Format: Bachelor thesis
• Language: por
• Source: Repositório Institucional da UTFPR (da Universidade Tecnológica Federal do Paraná (RIUT))
• Download full: http://repositorio.utfpr.edu.br/jspui/handle/1/30754
• topic: Pavimentos de concreto; Infiltração; Escoamento; Drenagem; Inundações; Pavements, Concrete; Seepage; Runoff; Drainage; Floods; CNPQ::ENGENHARIAS::ENGENHARIA CIVIL

The uncontrolled impermeabilization of big urban centers causes serious social and infrastructural problems, such as inundations, flooding, and the spread of diseases. Aiming to mitigate the effects of this situation, the preference for surface coverings that allow infiltration of rainwater has been growing, whether to delay overflows or to reuse the overflown rainwater. Permeable pavements are a relatively low-cost and easy-toimplement alternative that achieves this goal, and studies are needed to better understand it’s behavior under various environmental circumstances. This work seeks to quantify the values of runoff, infiltration and flow generated by a simulated precipitation over a UTFPR parking lot and aims to analyze how the adoption of permeable pavements, such as porous concrete (BCP) and porous asphaltic concrete (CPA), combined with infiltration trenches, can impact these parameters. To this end, the study area and the LID (Low Impact Development) devices applied to it were modeled in the Storm Water Management Model – SWMM software, while also evaluating the effectiveness of using this type of tool in microdrainage studies. The results obtained by simulations indicated that all scenarios of device’s application reached the objective of reducing surface runoff values and increasing soil infiltration on the study region. The combination of CPA-type permeable pavement with the use of an infiltration trench provided the best performance, reducing runoff by up to 20% when compared to current ground cover conditions. SWMM was proved as a relevant software for the analysis conducted, despite the large number of experimental parameters needed for modeling each scenario.