Štefan Stanko

Machine Learning Surrogate Modeling in R for Rapid Screening of Green Infrastructure Hydrological Performance in Urban Stormwater Management: A Proof-of-Concept Study Using Synthetic Data

Background: Physically-based, coupled hydrological–low-impact-development (LID) models, such as the U.S. EPA Storm Water Management Model (SWMM), estimate green infrastructure (GI) performance in detail but are computationally expensive to run across many catchment, storm, and ty...