Comparação de modelagem SWMM com observação de módulos experimentais de pavimentos permeáveis (tipo C)

• Ano de defesa: 2023
• Autor(a) principal: Ribas, Djuliana Antonia
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Tecnológica Federal do Paraná; Pato Branco; Brasil; Programa de Pos-Graduação em Engenharia Civil; UTFPR
• Palavras-chave em Português: Inundações; Desenvolvimento sustentável; Bacias hidrográficas; Balanço hidrológico; Floods; Sustainable development; Watersheds; Water balance (Hidrology); CNPQ::ENGENHARIAS::ENGENHARIA CIVIL; Engenharia/Tecnologia/Gestão
• Link de acesso: http://repositorio.utfpr.edu.br/jspui/handle/1/33344

Due to the disorderly growth of cities, soil sealing is one of the main factors in altering the hydrological cycle of a river basin. The increase in the speed and volume of surface runoff tends to make traditional drainage systems inefficient. Adherence to sustainable stormwater management practices, also known as low impact development (LIDs), a growing application in areas with high rates of urbanization. From this perspective, this research aims to simulate the behavior of permeable, conventional and porous Type (C) interlocking pavement drainage systems. Two experimental modules were developed on the campus of the Federal Technological University of Paraná – PB, one for traditional pavement and the other for porous pavement, enabling monitoring of observed and simulated data. For modeling drainage systems, the Storm Water Management Model (SWMM) software was used. The monitoring of the modules was carried out using data provided by the Pato Branco Technological Park Meteorological Station - PR. The state of the SWMM model is composed of equivalent sub-basins, node, pipe and storage unit. For traditional permeable and porous pavements, the LID Editor, proposed by SWMM, was used. To better understand the hydraulic behavior of the proposed model, calibration and validation were carried out using the Nash-Sutcliffe Efficiency Coefficient (NSE), Percentage of Bias (PBIAS), Mean Absolute Error (EMA) and the Ratio between the mean squared error and the deviation standard of measured data (RSR). Model validation indicates satisfactory results for the metrics, with NSE variation from 0.69 to 0.97, PBIAS from -0.57 to 15.22, EMA from 0.79 to 3.35 and for RSR from 0.16 to 0.56. The SWMM software is a tool that simulates the hydraulic behavior of drainage systems, and can be applied in planning, sizing and decision-making by public and private managers.