摘要: |
As part of the project team's on-going effort to develop a generic prototype of a flood-forecasting model that is transferable, reliable, and provides actionable information to other locations around the Midwest to provide monitoring and forecasting flood potential at critical infrastructure points, such as bridges, where streamflow gauges are not available, the project team have outlined a series of new activities to achieve their goal. The project team will continue developing a real-time web-based visualization platform to display the model predictions that was initiated under their phase I and II MATC grants. The team's efforts will now include a Technology Transfer aspect by interfacing their work with a MATC funded research project at UNL lead by Prof. Tirthankar Roy that aims to implement a snow model for the HLM model. The project team will provide a fully functional real-time forecasting system for the Elkhorn river basin in northeast Nebraska, and a corresponding web interface for monitoring an evaluation of forecasts. This work is the first step towards evaluating the feasibility of implementation of the project team's tools outside the state of Iowa. In addition, the team will implement data-assimilation techniques that will help them reduce the difference between model estimates and observations at USGS location and provide metrics of improvement of model predictions. |