A Framework to Develop Nationwide Flooding Extents Using Climate Models and Assess Forecast Potential for Flood Resilience1. (9th January 2018)

• Record Type: Journal Article
• Authors: Selvanathan, Sivasankkar; Sreetharan, Mathini; Lawler, Seth; Rand, Krista; Choi, Janghwoan; Mampara, Mathew
• Is Part Of: Journal of the American Water Resources Association. Volume 54:Number 1(2018:Feb.)
• Page Start: 90
• Page End: 103
• Publication Date: 2018-01-09
• Subjects: climate variability/change -- NHDPlus -- flood forecasting -- quantitative precipitation forecasts -- large‐scale flooding extents mapping; Water-supply -- Periodicals; Hydrology -- Periodicals; Water resources development -- Periodicals; Water resources development -- Environmental aspects -- Periodicals; 333.9100973
• DOI: 10.1111/1752-1688.12613
• Languages: English
• ISSNs: 1093-474X

Abstract

Abstract: The methods used to simulate flood inundation extents can be significantly improved by high‐resolution spatial data captured over a large area. This paper presents a hydraulic analysis methodology and framework to estimate national‐level floodplain changes likely to be generated by climate change. The hydraulic analysis was performed using existing published Federal Emergency Management Agency 100‐year floodplains and estimated 100‐ and 10‐year return period peak flow discharges. The discharges were estimated using climate variables from global climate models for two future growth scenarios: Representative Concentration Pathways 2.6 and 8.5. River channel dimensions were developed based on existing regional United States Geological Survey publications relating bankfull discharges with channel characteristics. Mathematic relationships for channel bankfull topwidth, depth, and side slope to contributing drainage area measured at model cross sections were developed. The proposed framework can be utilized at a national level to identify critical areas for flood risk assessment. Existing hydraulic models at these "hot spots" could be repurposed for near–real‐time flood forecasting operations. Revitalizing these models for use in simulating flood scenarios in near–real time through the use of meteorological forecasts could provide useful information for first responders of flood emergencies.