AutoRAPID: A Model for Prompt Streamflow Estimation and Flood Inundation Mapping over Regional to Continental Extents1. (21st October 2016)

• Record Type: Journal Article
• Authors: Follum, Michael L.; Tavakoly, Ahmad A.; Niemann, Jeffrey D.; Snow, Alan D.
• Is Part Of: Journal of the American Water Resources Association. Volume 53:Number 2(2017:Apr.)
• Page Start: 280
• Page End: 299
• Publication Date: 2016-10-21
• Subjects: flooding -- computational methods -- rivers/streams -- AutoRoute -- RAPID -- AutoRAPID; Water-supply -- Periodicals; Hydrology -- Periodicals; Water resources development -- Periodicals; Water resources development -- Environmental aspects -- Periodicals; 333.9100973
• DOI: 10.1111/1752-1688.12476
• Languages: English
• ISSNs: 1093-474X

Abstract

Abstract: This article couples two existing models to quickly generate flow and flood‐inundation estimates at high resolutions over large spatial extents for use in emergency response situations. Input data are gridded runoff values from a climate model, which are used by the Routing Application for Parallel computatIon of Discharge (RAPID) model to simulate flow rates within a vector river network. Peak flows in each river reach are then supplied to the AutoRoute model, which produces raster flood inundation maps. The coupled tool (AutoRAPID) is tested for the June 2008 floods in the Midwest and the April‐June 2011 floods in the Mississippi Delta. RAPID was implemented from 2005 to 2014 for the entire Mississippi River Basin (1.2 million river reaches) in approximately 45 min. Discretizing a 230, 000‐km 2 area in the Midwest and a 109, 500‐km 2 area in the Mississippi Delta into thirty‐nine 1° by 1° tiles, AutoRoute simulated a high‐resolution (~10 m) flood inundation map in 20 min for each tile. The hydrographs simulated by RAPID are found to perform better in reaches without influences from unrepresented dams and without backwater effects. Flood inundation maps using the RAPID peak flows vary in accuracy with F ‐statistic values between 38.1 and 90.9%. Better performance is observed in regions with more accurate peak flows from RAPID and moderate to high topographic relief.