Enhancing Automated Water Level Control at Navigable Waterways by High-Resolution Weather Predictions

8 pages•Published: September 20, 2018

Julia Kasper, Georg Pranner, Franz Simons, Michael Denhard and Carsten Thorenz

Abstract

Heavy rainfall can cause large variations in the water level of navigable waterways when a lot of urban runoff is generated on sealed surfaces and discharged into the river. Due to climate change, extreme weather events will increase in intensity and frequency demanding a better automated water level control at impounded waterways. High- resolution forecasts of catchment rainfall are intended to serve as input to a rainfall- runoff model. Based on the resulting discharge forecasts, a model predictive feed forward controller calculates the ideal water level and discharge across the barrage. The control system is completed by a PI control loop. In this way water level deviations and discharge peaks resulting from stormwater overflow events can be reduced, which enhances the safety of shipping. Regarding the uncertainties of weather predictions, the consequences of an underestimated or overestimated overflow discharge are investigated.

Keyphrases: automated water level control, discharge prediction, model predictive feed forward control, nowcasting, stormwater overflow, urban catchment area

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 1022-1029.

Links:	https://easychair.org/publications/paper/92nV
	https://doi.org/10.29007/tfbm

BibTeX entry

@inproceedings{HIC2018:Enhancing_Automated_Water_Level,
  author    = {Julia Kasper and Georg Pranner and Franz Simons and Michael Denhard and Carsten Thorenz},
  title     = {Enhancing Automated Water Level Control at Navigable Waterways by High-Resolution Weather Predictions},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/92nV},
  doi       = {10.29007/tfbm},
  pages     = {1022-1029},
  year      = {2018}}

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