Using High Performance Computing for Online Flood Monitoring and Prediction
The main goal of this article is to describe the online
flood monitoring and prediction system Floreon+ primarily developed
for the Moravian-Silesian region in the Czech Republic and the basic
process it uses for running automatic rainfall-runoff and
hydrodynamic simulations along with their calibration and
uncertainty modeling. It takes a long time to execute such process
sequentially, which is not acceptable in the online scenario, so the use
of a high performance computing environment is proposed for all
parts of the process to shorten their duration. Finally, a case study on
the Ostravice River catchment is presented that shows actual
durations and their gain from the parallel implementation.
[1] P. B. Bedient, W. C. Huber and B. C. Vieux, Hydrology and floodplain
analysis, 4th ed., Prentice Hall, London, 2007.
[2] R. Brazdil, P. Dobrovolny, L. Elleder, V. Kakos, O. Kotyza, V. Kveton,
J. Mackova, M. Muller, J. Stekl, R. Tolasz, H. Valášek, Historické a
současné povodně v České republice. MU Brno, CHMI, Brno-Prague,
2005.
[3] E. W. Wohl, Inland Flood Hazards. Cambridge, Cambridge University
Press, 2000. [4] M. S. Horritt, P. D. Bates, “Evaluation of 1D and 2D numerical models
for predicting river flood inundation” in Journal of Hydrology 268(1–4),
2002, pp. 87–99.
[5] M. R. Knebl, Z. L. Yang, K. Hutchinson, D. R. Maidment, “Regional
scale flood modeling using NEXRAD rainfall, GIS, and HECHMS/
RAS: a case study for the San Antonio River Basin Summer 2002
storm event” in Journal of Environmental Management 75, 2005, pp.
325-336.
[6] X. T. Cheng, “Flood and drought evaluation and management” in
General report for question 87. Barcelona: ICOLD, 2006.
[7] R. B. Flowers, “Flood management: a key to sustainable development
and integrated water resources” in Proc. 3rd World Water Forum, Kyoto,
Stiga, Osaka, Japan, Mar. 2003.
[8] H. D. Guo, “Understanding global natural disasters and the role of earth
observation” in International Journal of Digital Earth, 3 (3), 2010, pp.
221-230.
[9] R. Vavrik, M. Theuer, M. Golasowski, S. Kuchar, M. Podhoranyi, V.
Vondrak, “Automatic Calibration of Rainfall-Runoff Models and its
Parallelization Strategies” in Proc. 12th International Conference of
Numerical Analysis and Applied Mathematics, Rhodes, Greece,
September 2014.
[10] S. Kuchar, T. Kocyan, P. Praks, M. Litschmannova, J. Martinovic, V.
Vondrak, “Simulation of Uncertainty in Rainfall-Runoff Models and
their Statistical Evaluation in the Floreon System” in Proc. 11th
International Conference on Modeling and Applied Simulation, Vienna,
Austria, September 2012, pp.128-133.
[11] M. J. Quinn, Parallel Programming in C with MPI and OpenMP.
McGraw-Hill, New York, 2003.
[1] P. B. Bedient, W. C. Huber and B. C. Vieux, Hydrology and floodplain
analysis, 4th ed., Prentice Hall, London, 2007.
[2] R. Brazdil, P. Dobrovolny, L. Elleder, V. Kakos, O. Kotyza, V. Kveton,
J. Mackova, M. Muller, J. Stekl, R. Tolasz, H. Valášek, Historické a
současné povodně v České republice. MU Brno, CHMI, Brno-Prague,
2005.
[3] E. W. Wohl, Inland Flood Hazards. Cambridge, Cambridge University
Press, 2000. [4] M. S. Horritt, P. D. Bates, “Evaluation of 1D and 2D numerical models
for predicting river flood inundation” in Journal of Hydrology 268(1–4),
2002, pp. 87–99.
[5] M. R. Knebl, Z. L. Yang, K. Hutchinson, D. R. Maidment, “Regional
scale flood modeling using NEXRAD rainfall, GIS, and HECHMS/
RAS: a case study for the San Antonio River Basin Summer 2002
storm event” in Journal of Environmental Management 75, 2005, pp.
325-336.
[6] X. T. Cheng, “Flood and drought evaluation and management” in
General report for question 87. Barcelona: ICOLD, 2006.
[7] R. B. Flowers, “Flood management: a key to sustainable development
and integrated water resources” in Proc. 3rd World Water Forum, Kyoto,
Stiga, Osaka, Japan, Mar. 2003.
[8] H. D. Guo, “Understanding global natural disasters and the role of earth
observation” in International Journal of Digital Earth, 3 (3), 2010, pp.
221-230.
[9] R. Vavrik, M. Theuer, M. Golasowski, S. Kuchar, M. Podhoranyi, V.
Vondrak, “Automatic Calibration of Rainfall-Runoff Models and its
Parallelization Strategies” in Proc. 12th International Conference of
Numerical Analysis and Applied Mathematics, Rhodes, Greece,
September 2014.
[10] S. Kuchar, T. Kocyan, P. Praks, M. Litschmannova, J. Martinovic, V.
Vondrak, “Simulation of Uncertainty in Rainfall-Runoff Models and
their Statistical Evaluation in the Floreon System” in Proc. 11th
International Conference on Modeling and Applied Simulation, Vienna,
Austria, September 2012, pp.128-133.
[11] M. J. Quinn, Parallel Programming in C with MPI and OpenMP.
McGraw-Hill, New York, 2003.
@article{"International Journal of Earth, Energy and Environmental Sciences:69625", author = "Stepan Kuchar and Martin Golasowski and Radim Vavrik and Michal Podhoranyi and Boris Sir and Jan Martinovic", title = "Using High Performance Computing for Online Flood Monitoring and Prediction", abstract = "The main goal of this article is to describe the online
flood monitoring and prediction system Floreon+ primarily developed
for the Moravian-Silesian region in the Czech Republic and the basic
process it uses for running automatic rainfall-runoff and
hydrodynamic simulations along with their calibration and
uncertainty modeling. It takes a long time to execute such process
sequentially, which is not acceptable in the online scenario, so the use
of a high performance computing environment is proposed for all
parts of the process to shorten their duration. Finally, a case study on
the Ostravice River catchment is presented that shows actual
durations and their gain from the parallel implementation.
", keywords = "Flood prediction process, High performance
computing, Online flood prediction system, Parallelization.", volume = "9", number = "5", pages = "424-6", }
