Análise de sensibilidade dos parâmetros de um módulo experimental de pavimento permeável poroso utilizando o software EPA SWMM

Abstract

The documentation relating to the sensitivity analysis of the parameters of a pervious pavement in the software SWMM (Storm water Management Model) is remarkably limited. The primary objective of this study was to conduct a sensitivity analysis of the parameters of the pervious pavement LID module, using the EPA SWMM software in conjunction with the py-swmm Python library. This will enable us to achieve a deeper understanding of the system’s behavior in relation to variations in the parameters, which will help to calibrate the system. The modeling of the pervious pavement was carried out using SWMM’s LID module. the intensity-durationfrequency (IDF) data of Pato Branco city was used to create the artificial rainfalls that were used in this research. In total, six artificial rainfalls were generated, three of which were defined in the first Huff quartile and three in the second Huff quartile. The results of the sensitivity analysis showed that the characteristics of the rainfall have a significant influence on the sensitivity of the system parameters. Among the parameters parameters analized, it was noted that the drain exponent, the drain coefficient, the porosity of the soil and the thickness of soil stand out as the most sensitives parameters. This study contributes to a deeper understanding of the interaction between the characteristics of precipitation and the sensitivity of the system’s parameters, providing analysis that is important for planning and optimizing pervious pavement systems.