Enhancing rain-flood resilience in urban planning: a parameterized design approach integrating SCS-CN method and grasshopper

Abstract

Urban flooding has become an increasing issue due to climate change and urbanization. To address this, urban resilience and parameterized design frameworks for flood-resilient urban planning are crucial. This study presents a framework that integrates the SCS-CN method and Grasshopper software. The SCS-CN method estimates urban runoff and infiltration, while Grasshopper creates adaptable planning workflows. A custom Grasshopper component automates SCS-CN calculations, generating design parameters for optimal flood resilience. The component considers land use, topography, and drainage infrastructure to evaluate design alternatives. This framework is valuable for examining trade-offs and identifying suitable design solutions, incorporating a multi-objective optimization approach for land-use configurations. Ultimately, this parameterized design framework aids urban planners in creating resilient and sustainable cities.

Keywords: urban flooding, climate change, flood resilience strategies, parameterized design framework