A Natureza como input: uso de algoritmos computacionais na análise e disgnóstico de microbacias urbanas de Fortaleza-CE

Abstract

The present study investigates the application of computational methods in sustainable urban planning, adopting the watershed as the unit of analysis for the city of Fortaleza–CE, Brazil. Inspired by Ian McHarg’s Design with Nature, the research is grounded in the understanding of the city as an ecosystem in which natural, urban, and social systems dynamically interact. The main objective is to develop a workflow based on City Information Modeling (CIM) and Landscape Information Modeling (LIM) capable of integrating environmental, hydrological, demographic, and urban comfort data through parametric algorithms, contributing to the construction of urban quality indicators and to a multiscalar reading of the territory. The first chapter introduces the theoretical foundations of the research, presenting the concept of the city as an ecosystem, the research problem, the objectives, and the overall structure of the dissertation. The second chapter presents the literature review and bibliometric analysis, discussing the intersections between CIM, LIM, sustainability, and urban ecosystems, as well as identifying trends and gaps in studies that articulate information modeling, landscape, and urban planning. The third chapter describes the adopted methodology, detailing the development of the CIM framework applied to Fortaleza, the procedures for building and integrating the database, and the stages of parametric modeling and analysis that support the study. The fourth chapter contextualizes the case study by analyzing the process of urban occupation in Fortaleza and its correlations with environmental systems, with emphasis on watershed structures and the impacts of urbanization on natural systems. The fifth chapter concentrates the main analyses of the dissertation, exploring the watershed as a planning unit through the cross-analysis of data related to urban dynamics, hydrology, ecosystem services, and socioeconomic and demographic aspects, highlighting spatial patterns and critical areas for urban planning. Finally, the sixth chapter discusses the application of the developed framework in the projection of data-driven urban scenarios, proposing the use of nature as an input for planning and for nature-based solutions, while