Download PDFOpen PDF in browser

Flood Forecasting with Uncertainty Using a Fully Automated Flood Model Chain: a Case Study for the City of Kulmbach

10 pagesPublished: September 20, 2018

Abstract

Real time flood forecasting can help authorities in providing reliable warnings to the public. This process is, however, non-deterministic such that uncertainty sources need to be accounted before issuing forecasts. In the FloodEvac project, we have developed a tool which takes as inputs rainfall forecasts and links a hydrological with a hydraulic model for producing flood forecasts. The tool is able to handle calibration/validation of the hydrological model (LARSIM) and produces real-time flood forecast with associated uncertainty of flood discharges and flood extents. In this case study, we focus on the linkage with the hydrological model and on the real-time discharge forecasts generated.

Keyphrases: calibration, Forecasting, hydrological modelling, uncertainty, Validation

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 207--216

Links:
BibTeX entry
@inproceedings{HIC2018:Flood_Forecasting_with_Uncertainty,
  author    = {Md Nazmul Azim Beg and Jorge Leandro and Punit Bhola and Iris Konnerth and Kanwal Amin and Florian Koeck and Rita F. Carvalho and Markus Disse},
  title     = {Flood Forecasting with Uncertainty Using a Fully Automated Flood Model Chain: a Case Study for the City of Kulmbach},
  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},
  pages     = {207--216},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {https://easychair.org/publications/paper/d2vl},
  doi       = {10.29007/jb27}}

The requested page was not found on this server.

Download PDFOpen PDF in browser