We designed, developed, and implemented a DSS that (1) retrieves hydrometeorological data from LCRA's Microsoft SQL Server database; (2) forecasts runoff due to current precipitation; (3) forecasts runoff due to a quantitative precipitation forecast provided by a meteorologist; (4) routes the forecasted runoff throughout the hydrologic system using an unsteady flow model; and (5) simulates operation of the six LCRA reservoirs, given releases specified by the LCRA operators. The DSS uses our catchment forecasting tool, Aviso FS.
We included flexible database connectivity. At the start of this project, LCRA was in the process of switching to a new Microsoft SQL Server database. Final design of the database was not complete when we started our work. Although not required by our scope of work, we provided LCRA staff with a straw-man design of a relational database and worked with them to implement the design. In the meantime, to avoid project delays, we implemented our forecasting system using HEC-DSS as an internal database. Subsequently, we developed converters to retrieve data from the SQL Server and post those to HEC-DSS.
|