Deep Learning for Unmonitored Water Level Prediction and Risk Assessment
| 项目名称： | Deep Learning for Unmonitored Water Level Prediction and Risk Assessment |
| 摘要： | This proposed research is a match project designed to run in tandem between the Mid-America Transportation Center (MATC) and the Missouri Department of Transportation (MoDOT). This project uses deep learning and other computational intelligence methods to leverage public geospatial data and historical National Oceanic and Atmospheric Administration (NOAA) data to develop forecasting tools to create virtual water level monitors. These tools inform existing models developed in previous Mid-America Transportation Center/Missouri Department of Transportation (MATC/MoDOT) projects for flood prediction and models developed by the United States Geological Survey (USGS), Federal Emergency Management Agency (FEMA), NOAA, and others and are used to reduce the errors from these models due to sparse data for prediction. The project scope includes a survey instrument to gather data from first responders who are required to travel during these hazardous events. These data are then used to determine the water levels and rate of change at unmonitored sites based on projected rainfall totals based on drainage basin information and recent weather patterns. The data from these virtual monitors is then used for flood event prediction to improve accuracy. The results of these virtual monitors will be validated by manual testing at prediction locations. In addition, the data from the virtual monitors and the validation readings will be used to determine the sources of uncertainty in the predictions and recommend where physical monitors should be placed to improve future predictions. This provides the transportation safety or disaster planner increased accuracy to better plan for flooding events. |
| 状态： | Active |
| 资金： | 300000 |
| 资助组织： | Missouri Department of Transportation<==>Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Schulte, Brent |
| 执行机构： | Missouri University of Science & Technology, Rolla |
| 开始时间： | 20210208 |
| 预计完成日期： | 20220630 |
| 主题领域： | Data and Information Technology；Geotechnology；Highways；Hydraulics and Hydrology；Planning and Forecasting；Security and Emergencies |
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