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Support System of Virtual Organization for Flood Forecasting

Support System of Virtual Organization for Flood Forecasting. L. Hluchy, J. Astalos, V.D. Tran, M. Dobrucky and G.T. Nguyen Institute of Informatics Slovak Academy of Sciences in cooperation with Slovak Hydrometeorological Institute. Flood Warning and Forecasting System. .

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Support System of Virtual Organization for Flood Forecasting

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  1. Support System of Virtual Organization for Flood Forecasting L. Hluchy, J. Astalos, V.D. Tran, M. Dobrucky and G.T. Nguyen Institute of Informatics Slovak Academy of Sciences in cooperation with Slovak Hydrometeorological Institute

  2. Flood Warning and Forecasting System  Data Collection Network Data Transmission System · HF Radios · Telemetry Telecom System Meteorological models: ALADIN/LACE , ALADIN/SLOVAKIA Rainfall Runoff Models: NLC, HBV River Flow Models: NLN Meteorological and hydrological information and forecasts · System of attendance of clients · · User of information, warning and forecasts Cracow Grid Workshop, November 5-6

  3. Vah River Pilot Site Area: 19700km2, 1/3 of Slovak population Cracow Grid Workshop, November 5-6

  4. Meteorological models • ALADIN/LACE, ALADIN/SLOVAKIA • numerical weather prediction system. • MM5 • PSU/NCAR mesoscale model Cracow Grid Workshop, November 5-6

  5. Hydrological models • NLC -Lumped rainfall-runoff model capable of modeling groundwater flow and direct runoff • HBV - Semi-distributed rainfall-runoff model • HSPF - U.S. EPA (Environmental Protection Agency) program for simulation of watershed hydrology and water quality Cracow Grid Workshop, November 5-6

  6. Hydraulic models • NLN - Lumped river system model based on the non-linear cascade concept • FESWMS-2DH - hydrodynamic modeling code that supports both super and subcritical flow analysis including area wetting and drying • RMA2 - two-dimensional depth averaged finite element hydrodynamic numerical model Cracow Grid Workshop, November 5-6

  7. Data needed for modeling • Topographical data (cross-sections, orthophotomap,LIDAR) • Roughness conditions • Hydrological data • Wind data • Boundary data • Calibration and validation data Cracow Grid Workshop, November 5-6

  8. Geographical Information Systems • Handles all spatial databases • Transparent connection to the models • Generation of input files for the models • Storage of model outputs • Visualization of model results • Impact estimation • Enhanced analysis of the model results Cracow Grid Workshop, November 5-6

  9. Geographical Information Systems Scanned maps Cracow Grid Workshop, November 5-6

  10. Geographical Information Systems Orthophotomap Cracow Grid Workshop, November 5-6

  11. Geographical Information Systems Elevations Cracow Grid Workshop, November 5-6

  12. Mesh (for Finite element method) Cracow Grid Workshop, November 5-6

  13. Computer vision Cracow Grid Workshop, November 5-6

  14. SMS/FESWMS modeling system • SMS (Surface-water Modeling System) is commercial software package for modeling surface water. It contains GUI for pre- and post-processing and several modeling modules • FESWMS (Finite Element Surface-Water Modeling System) is a hydrodynamic, depth averaged, free surface, finite element modeling module included in SMS package. Cracow Grid Workshop, November 5-6

  15. Experimental parameters • Inflow: 1500 m3s-1 • Steady state • Number of elements: 13480 • Number of nodes: 38229 • Average distance between two neighbor nodes: 10m • Number of equations: 95500 Cracow Grid Workshop, November 5-6

  16. Results: flow + water depths Cracow Grid Workshop, November 5-6

  17. Results: flow + water depths Cracow Grid Workshop, November 5-6

  18. Results: flow trace animation Cracow Grid Workshop, November 5-6

  19. Complexity If the simulated area increases 2 times in every dimension (or the distances between two neighbor nodes decrease 2 times for better accuracy), then: • Number of nodes increases 4 times (O(N2)) • Number of equations increase 4 times (O(N2)) • Length of fronts in FESWMS increases 2 times (O(N)) • Total memory requirement increases 8 times (O(N3)) • Computation time increases 16 times (O(N4)) !!! For modeling and simulation of large areas, parallel implementation is necessary. Cracow Grid Workshop, November 5-6

  20. Remote processing Processing input data Pre-processing Parallel computational kernel Post-processing Save solutions Parallelization approach Cracow Grid Workshop, November 5-6

  21. Data sources meteorological radars • External sources of information • Global and regional centers GTS • EUMETSAT and NOAA • Hydrological services of other countries surface automatic meteorological and hydrological stations systems for acquisition and processing of satellite information High performance computers Storage systems Grid infrastructure meteorological models databases hydrological models hydraulic models Users Flood crisis teams • river authorities • energy • insurance companies • navigation • meteorologists • hydrologists • hydraulic engineers • media • public Support System for Virtual Organisation Cracow Grid Workshop, November 5-6

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