Solução computacional didática para cálculo de drenagem urbana em Python: um estudo de caso Piumhi - MG

The accelerated process of urbanization has posed complex challenges to urban drainage systems, particularly due to the increasing soil impermeabilization, which highlights the urgency of implementing technological solutions to mitigate and prevent such issues. This study proposes the development of a Didactic Computational Solution for Urban Drainage Calculation, using the Python programming language, with a focus on the dimensioning of curbs and the quantification of stormwater inlets. The main objective was to optimize the dimensioning process, providing a tool that facilitates decision-making in urban planning and infrastructure management. The methodology adopted is based on Object-Oriented Programming (OOP), structuring the solution into eight specific classes, each dedicated to a distinct stage of the dimensioning process. The tool was applied in a case study in the city of Piumhi, MG, where recurring drainage problems caused significant disruptions to the population. The results obtained demonstrated the effectiveness of the model, providing faster and more accurate calculations, while minimizing the errors often associated with manual processes. Moreover, the solution offers the capability to simulate future scenarios, considering urban expansion and increased volumes of water to be transported and collected, based on projected population growth. The tool also contributes to the enhancement of existing drainage systems, supporting more informed and efficient decision-making. To conclude, the integration of advanced technologies in the field of urban engineering is essential for achieving more reliable, efficient, and sustainable results, promoting integrative solutions that meet both the needs of the population and the challenges of urban planning and management.