support system of virtual organization for flood forecasting
DESCRIPTION
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. . - PowerPoint PPT PresentationTRANSCRIPT
Cracow Grid Workshop November 5-6
Support System of Virtual Organization for Flood
Forecasting
Support System of Virtual Organization for Flood
ForecastingL. Hluchy, J. Astalos, V.D. Tran, M. Dobrucky and
G.T. NguyenInstitute of Informatics
Slovak Academy of Sciencesin cooperation with
Slovak Hydrometeorological Institute
Cracow Grid Workshop, November 5-6
Flood Warning and Forecasting SystemFlood Warning and Forecasting System
Data Collection Network
Data Transmission System HF Radios Telemetry Telecom System
Rainfall Runoff Models:NLC, HBVRiver Flow Models:NLN
Meteorological models:ALADIN/LACE ,ALADIN/SLOVAKIA
Meteorological and hydrological information and forecasts
System of attendance of clients
User of information, warning and forecasts
Cracow Grid Workshop, November 5-6
Vah River Pilot SiteVah River Pilot Site
Area: 19700km2, 1/3 of Slovak population
Cracow Grid Workshop, November 5-6
Meteorological modelsMeteorological models
ALADIN/LACE, ALADIN/SLOVAKIA – numerical weather prediction
system.MM5
– PSU/NCAR mesoscale model
Cracow Grid Workshop, November 5-6
Hydrological modelsHydrological 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
Hydraulic modelsHydraulic 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
Data needed for modelingData needed for modeling
Topographical data (cross-sections, orthophotomap, LIDAR)
Roughness conditionsHydrological dataWind dataBoundary dataCalibration and validation data
Cracow Grid Workshop, November 5-6
Geographical Information SystemsGeographical 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
Geographical Information SystemsGeographical Information Systems
Scanned maps
Cracow Grid Workshop, November 5-6
Geographical Information SystemsGeographical Information Systems
Orthophotomap
Cracow Grid Workshop, November 5-6
Geographical Information SystemsGeographical Information Systems
Elevations
Cracow Grid Workshop, November 5-6
Mesh (for Finite element method)Mesh (for Finite element method)
Cracow Grid Workshop, November 5-6
Computer visionComputer vision
Cracow Grid Workshop, November 5-6
SMS/FESWMS modeling systemSMS/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
Experimental parametersExperimental 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
Results: flow + water depthsResults: flow + water depths
Cracow Grid Workshop, November 5-6
Results: flow + water depthsResults: flow + water depths
Cracow Grid Workshop, November 5-6
Results: flow trace animationResults: flow trace animation
Cracow Grid Workshop, November 5-6
ComplexityComplexity
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
Parallelization approachParallelization approach
Pre-processing
Post-processing
Processing input data
Save solutions
Parallelcomputational
kernel
Rem
ote processing
Cracow Grid Workshop, November 5-6
Support System for Virtual Organisation
Support System for Virtual Organisation
Storage systems
databases
surface automatic meteorological and hydrological stations
systems for acquisition and processing of satellite information
meteorological radars
External sources of informationGlobal and regional centers GTSEUMETSAT and NOAAHydrological services of other countries
Data sources
meteorological models
hydrological models
hydraulic models
High performance computers
Grid infrastructure
Flood crisis teams meteorologistshydrologistshydraulic engineers
Users
river authoritiesenergyinsurance companiesnavigation
mediapublic