URBAN GREEN INFRASTRUCTURE CONNECTIVITY AND THERMAL COMFORT ANALYSIS FOR FLOOD RISK MANAGEMENT

This study applies and evaluates an indicator-based urban methodology to assess the potential of green infrastructure for mitigating flood risk, contributing to the validation and refinement of the method in a novel Amazonian urban context. The research focuses on La Isla, a flood-prone area within the city of Puyo, Ecuador. The methodology organizes urban indicators into two primary dimensions: connectivity—including plant diversity, soil permeability, building height, and accessibility—and comfort, which encompasses building line porosity, land use diversity, and night-time lighting. Data collection was performed using georeferenced forms through the KoBoToolbox platform, and analysis was conducted via a categorical evaluation system. The results reveal significant deficiencies in both dimensions, highlighting the urgent need for targeted green infrastructure strategies to enhance ecological function and urban resilience. Ultimately, the study proposes adaptable nature-based solutions that integrate biodiversity, hydrology, and urban planning principles, offering a replicable framework for flood-prone intermediate cities in the Amazon and similar contexts worldwide.