Abstract
Build an ensemble-based remote-sensing driven coupled flash flood and landslide warning system and its evaluation across the United States
American Geophysical Union Fall Meeting, Vol.2014
American Geophysical Union 2014 fall meeting (San Francisco, CA, 12/15/2014–12/19/2014)
12/2014
Abstract
Flooding and flash flooding are the most costly weather-related natural hazards in the United States and world. Heavy rainfall-triggered landslides are often associated with flash flood events and cause additional loss of life and property. Therefore, it is important to understand the linkage and interaction between flash flood events and landslides. It is also pertinent to build a robust coupled flash flood and landslide disaster early warning system for disaster preparedness and hazard management. In this study, we built a coupled flash flood and landslide disaster early warning system, which is aimed for operational use by the US National Weather Service, based on an existing ensemble framework by extending the model ensemble and coupling a set of distributed hydrologic models, the Coupled Routing and Excess STorage (CREST) model and the SACramento Soil Moisture Accounting (SAC-SMA) model, with two physically based landslide prediction models, the SLope-Infiltration-Distributed Equilibrium (SLIDE) model and the Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability (TRIGRS) model. We tested this prototype warning system by conducting multi-year simulations driven by the Multi-Radar Multi-Sensor (MRMS) rainfall estimates at selected basins across the United States. We then comprehensively evaluated the predictive capabilities of this system against observed and reported flood and landslides events. Our results show that the system is generally capable of making accurate predictions of flash flood and landslide events in terms of their locations and time of occurrence. The recently developed ensemble framework also enables us to quantify the uncertainty of the predictions and the probabilities of anticipated disaster events.
Details
- Title: Subtitle
- Build an ensemble-based remote-sensing driven coupled flash flood and landslide warning system and its evaluation across the United States
- Creators
- Ke Zhang - University of OklahomaYang HongJ. J. GourleyH. J. VergaraXianwu XueNing LuR. Wooten
- Resource Type
- Abstract
- Publication Details
- American Geophysical Union Fall Meeting, Vol.2014
- Conference
- American Geophysical Union 2014 fall meeting (San Francisco, CA, 12/15/2014–12/19/2014)
- Publisher
- American Geophysical Union
- Alternative title
- AGU 2014 fall meeting
- Language
- English
- Date published
- 12/2014
- Academic Unit
- Civil and Environmental Engineering
- Record Identifier
- 9984446714202771
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