Water Luncheon Seminar - Machine Learning Insight for Rapid Flood Inundation Screening
All dates for this event occur in the past.
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Machine Learning Insight for Rapid Flood Inundation Screening Zoom Virtual Meeting By Mark Bartlett and Mark Seidelmann
Hosted by WMAO and Ohio WRC Presented by Ohio Floodplain Management Association Rapid, regional scale riverine and pluvial flood risk assessment and forecasting is complicated by hydrology and hydraulic complexity. Complexity is not fully captured by the most detailed of hydrology models—causing model results to deviate from observations over long time scales. Moreover, as the spatial extents (i.e., scale) and resolution of the study area increase, the associated traditional hydraulic models become computationally expensive. Accordingly, traditional hydrology and hydraulic modeling seemingly is at odds with the efficiency needed for regional flood analysis. Here, we show that an effective, rapid prediction of pluvial flood inundation is achieved through a direct statistical simulation of hydrologic averages coupled to the insight of a machine learning model that extends high-resolution detailed HEC-RAS 2D model results over regional areas. |