Flow Forecasting in Urban Drainage Systems using Deterministic Updating of Water Levels in Distributed Hydraulic Models
Publication: Research - peer-review › Article in proceedings – Annual report year: 2011
There is a growing need for generating more precise model simulations of urban drainage systems, both in off-line and on-line situations. In order to generate these improved model simulations data assimilation tools are needed that make it possible to include system measurements in the models to eliminate some of the unavoidable discrepancies between model and reality. The latter can partly be achieved by using the commercial tool MOUSE UPDATE, which is capable of inserting measured water levels from the system into the distributed, physically based MOUSE model. This study evaluates and documents the performance of the updating procedure for flow forecasting. Measured water levels in combination with rain gauge input are used as basis for the evaluation. When compared to simulations without updating, the results show that it is possible to obtain an improvement in the 20 minute forecast of the water level in an updated node and in the 3 hour forecast of flow through a downstream node. Our results indicate that updating produces better forecasts when implemented in a network with slow flow dynamics and with measurements from basins that are located upstream and contribute significantly to the flow at the forecast location.
|Title of host publication||Proceedings of the 12th International Conference on Urban Drainage|
|Conference||12th International Conference on Urban Drainage|
|Period||11/09/11 → 16/09/11|
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