Download
slide1 n.
Skip this Video
Loading SlideShow in 5 Seconds..
Case study: GIS support for a spatio-temporal water balance model of Austria PowerPoint Presentation
Download Presentation
Case study: GIS support for a spatio-temporal water balance model of Austria

Case study: GIS support for a spatio-temporal water balance model of Austria

179 Views Download Presentation
Download Presentation

Case study: GIS support for a spatio-temporal water balance model of Austria

- - - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript

    1. Case study: GIS support for a spatio-temporal water balance model of Austria Josef Frst & Harald Kling

    2. Outline Introduction Overview of modelling concept Examples of GIS suppport

    3. Introduction UNESCO IHP project Spatio-temporal Water balance of the Danube River basin monthly data of precipitation and temperature conceptual, spatially distributed approach (COSERO) Use of widely available GIS datasets for Danube basin (HYDRO1K DEM, USGS Landcover); Hydrological Atlas data for Austria ? zoning, estimation of parameters, validation

    4. Overview of COSERO Concept, data requirements

    5. Data sources Time series of meteorological inputs at large number of stations ? mapping, analysis of networks (density, representativity of elevation, ), regionalisation and interpolation GIS data: DEM and derived data sets, maps of land use, soils, geology ? different sources, projections, problems of consistency For Austria: consistent maps in HAA Model validation against results published elsewhere ? GIS serves as an integrator of formats, projections, presentation

    6. Analysis of observation network (density): Possible adjustment of precipitation input is related to the density of available rain gauges (many gauges ? precip. is fixed; no gauges ? large adjustment allowed) GIS procedure: ArcView 3: Apply Density tool (Simple, Kernel) or external script For a complex criterion, based on elevation AND position, a FORTRAN procedure was used

    7. Data preprocessing Characteristics of raw data (point, line, polygon, raster, time series data), coordinate transformations, interpolation (univariate/multivariate EDK), regionalisation Development of model grid (GIS overlays)

    8. Interface GIS COSERO Loose coupling; Shape file of model zones (HRU) identified by ZONE-ID, Input and output of COSERO is by tables with ZONE-ID as key ? Join in GIS

    9. Estimation of model parameters E. g. snow melt factors: Input DEM ? Slope ? Aspect ? Radiation module (external) ? CTMIN, CTMax

    10. Postprocessing and visualisation Outputs: state variables and outputs by zone, for each time step. Direct visualisation of all variables related to model zones (JOIN) Analysis of model parameters: Spatially distributed minimum and maximum snow melt factors

    11. Animation of model inputs Monthly precipitation

    12. Animation of model outputs Development of snow cover

    13. Soft validation against results published elsewhere Monthly snow data of model compared to map in HAA

    14. Output presentation: Time aggregation, thematic maps: Seasonal maps

    15. Output presentation: cartography Aggregation for catchments ? mapping in HAA, digHAO

    16. Watershed-based evaluations Select complete watershed by clicking a gauge, based on hierarchical code Immediately calculate areal precipitation, evapotranspiration, runoff depth and other information